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. 2025 Aug 29;13:RP102681. doi: 10.7554/eLife.102681

The long noncoding RNA lnc-FANCI-2 intrinsically restricts RAS signaling in human papillomavirus type 16-infected cervical cancer cells

Haibin Liu 1,†,, Lulu Yu 1,, Vladimir Majerciak 1, Thomas J Meyer 2, Ming Yi 3, Peter F Johnson 4, Maggie Cam 2, Douglas R Lowy 5, Zhi-Ming Zheng 1,
Editors: Chang Liu6, Eduardo L Franco7
PMCID: PMC12396819  PMID: 40878909

Abstract

Increased expression of lnc-FANCI-2, a newly discovered long noncoding RNA, is associated with cervical lesion progression from cervical intraepithelial neoplasia stage 1 (CIN1, low grade), CIN2–3 (high grade), to cervical cancer. Viral oncoprotein E7 of high-risk human papillomaviruses (HR-HPVs) and host transcription factor YY1 are two major factors promoting lnc-FANCI-2 expression. Using CRISPR-Cas9 technology, we knocked out the expression of lnc-FANCI-2 in the HPV16-positive cervical cancer cell line, CaSki cells. The selected knockout (KO) single-cell clones displayed altered cell morphology and proliferation with changes of cellular soluble receptors, but normal HPV16 E6 and E7 expression. Relative to the parental cells, lnc-FANCI-2 KO cells exhibited significantly increased RAS signaling and epithelial-mesenchymal transition, but decreased response to IFN signaling, along with increased p-Akt and p-Erk1/2 (two RAS signaling effectors), IGFBP3, MCAM, VIM, and CCND2 (cyclin D2) and decreased expression of RAC3. lnc-FANCI-2 in CaSki interacts with cellular proteins H13, HNRH1, K1H1, MAP4K4, and RNPS1. MAP4K4 knockdown led to enhance the expression of p-Erk1/2 and p-Akt. High lnc-FANCI-2 and low MCAM levels in cervical cancer tissues were found to be associated with patients’ survival. A key function of lnc-FANCI-2 intrinsically regulates RAS signaling to impact cervical lesion progression and cervical cancer prognosis.

Research organism: Human

Introduction

Cervical cancer is a leading cause of mortality in women worldwide. It is the second most diagnosed cancer among women, with an estimated 661,000 new cases worldwide each year, and the third most frequent cause of cancer-related death, accounting for 348,000 deaths annually (Bray et al., 2024). Persistent infections in the cervical epithelium with the cancer-associated alpha human papillomaviruses (high-risk HPVs [HR-HPVs]), in particular HPV16 and HPV18 with the sustained expression of viral oncoproteins, E6 and E7, contribute to squamous epithelial cell tumorigenesis (Bosch et al., 2002; Munoz et al., 2003; Walboomers et al., 1999). Approximately 31.3% of high-grade neoplastic cervical lesions progress to invasive cervical cancer (ICC) in 30 years (McCredie et al., 2008), while most lesions resolve spontaneously. The progression to cervical cancer typically takes 15–20 years after initial infection (https://www.who.int/news-room/fact-sheets/detail/cervical-cancer). These observations suggest that active host defense systems play important roles in preventing malignant transformation of neoplastic cervical lesions, and additional factors besides E6 and E7 are necessary for cervical cancer development. Indeed, one tumor suppressor network, the Fanconi anemia (FA) pathway (Niraj et al., 2019), can be activated by HPV-induced DNA damage. FA proteins, including FANCA, FANCD2, and FANCI, are elevated upon HPV infection (Hoskins et al., 2009; Liu et al., 2021; Santegoets et al., 2012), and the activated FA pathway restricts HPV replication and guards host genome stability (Hoskins et al., 2012). FANCD2 mutation stimulates HPV16 and HPV31 genome amplification and also promotes cervical and vaginal cancer development in HPV16 E7 transgenic mouse (Park et al., 2010; Park et al., 2014).

HPV-positive cervical cancer tissues in general exhibit wild-type (WT) p53, WT K-RAS, and no overexpression of RAS genes (Hietanen et al., 2000; Tommasino et al., 2003; Prior et al., 2012; Fernández-Medarde and Santos, 2011). Viral oncoprotein E7 plays a major role in the immortalization of primary epithelial cells mainly by inactivation of pRb family of proteins (Roman and Munger, 2013), whereas E6 mediates degradation of tumor suppressor p53 and activation of human telomerase reverse transcriptase transcription (Vande Pol and Klingelhutz, 2013; Liu et al., 2009; Klingelhutz et al., 1996). However, high-risk E6 and E7 are necessary but not sufficient to transform fully the immortalized cells into malignant cells (Storey et al., 1988; Barbosa and Schlegel, 1989; Hawley-Nelson et al., 1989; Münger et al., 1989; Halbert et al., 1991), and additional oncogenic stress is needed. For example, the HRASG12V, a constitutively activated RAS GTPase mutation, triggers malignant transformation of E6/E7-expressing keratinocytes (Phelps et al., 1988; DiPaolo et al., 1989; Schreiber et al., 2004; Narisawa-Saito et al., 2008). Normal RAS regulates cell proliferation, cell differentiation, and cell adhesion through cellular signal transduction from growth factor receptors such as insulin-like growth factors (IGFs) and insulin-like growth factor binding proteins (IGFBP1–6) (Conover et al., 2000; Allard and Duan, 2018; Bach, 2018). Thus, overactive RAS signaling might facilitate transformation of E6/E7-expressing keratinocytes. In transgenic mice, HPV16 E6 and E7 can promote the development of spontaneous epithelial skin tumors, but not spontaneous tumors of the reproductive tract (Song et al., 1999; Herber et al., 1996; Song et al., 2000; Riley et al., 2003). Prolonged estrogen treatment is required (Brake and Lambert, 2005). Estrogen receptor (ER) activation stimulates the mitogen-activated protein kinase (MAPK/Erk) and phosphoinositide 3-kinase (PI3K/Akt) pathways, both of which are mediated by RAS (Kato et al., 1995). However, the molecular mechanism underlying estrogen-induced cervical cancer in E6 and E7 transgene mice is not fully understood.

Long noncoding RNAs (lncRNAs) are RNAs over 200 nucleotides (nt) in length lacking a coding capacity for translation into functional proteins. Although several lncRNAs have been proposed to function in diverse biological processes, evidence is still lacking to support the functionality of the majority of lncRNAs (Statello et al., 2021; Liu and Zheng, 2022).

We recently reported an increased level of lnc-FANCI-2 expression in high-risk HPV-positive cervical intraepithelial neoplasia (CIN) and ICC tissues (Liu et al., 2021). At least 14 RNA isoforms of lnc-FANCI-2 are expressed by usage of two alternative promoters, alternative RNA splicing, and alternative selection of two polyadenylation sites from the genomic locus adjacent to the FANCI on Chr15. Ironically, the lnc-FANCI-2 was wrongly annotated by NCBI as a MIR9-3HG in the recently updated RefSeq database (https://www.ncbi.nlm.nih.gov/refseq/) and two alternative lnc-FANCI-2 promoters identified for expression of lnc-FANCI-2 are ~10 kb downstream of the non-expressible MIR9-3 gene (Liu et al., 2021). Both lnc-FANCI-2 and FANCI are upregulated simultaneously in neoplastic cervical lesions and cervical cancer by HR-HPV infections. E6, and in particular, E7 is responsible for the enhanced expression of lnc-FANCI-2, the transcription of which is also regulated by YY1 (Liu et al., 2021). HPV infection increases YY1 levels but decreases the expression of p53-dependent miR-29a which targets the YY1 3’ UTR. Viral E7 interacts with YY1 and facilitates YY1 transactivation of lnc-FANCI-2 promoter (Liu et al., 2021). In situ hybridization has revealed that lnc-FANCI-2 is preferentially cytoplasmic, but its function in HPV-infected cells has not been characterized. In this report, we demonstrate that lnc-FANCI-2 in HPV16-infected cells controls RAS signaling by interaction with MAP4K4 and other RNA-binding proteins. Ablation of lnc-FANCI-2 in the cells promotes RAS signaling and phosphorylation of Akt and Erk. High levels of lnc-FANCI-2 and low levels of MCAM expression in cervical cancer patients correlate with improved survival, indicating that lnc-FANCI-2 plays a critical role in regulating RAS signaling to affect cervical cancer progression and patient outcomes.

Results

Differential expression of lnc-FANCI-2 in cervical cancer tissues and its derived cell lines

As lnc-FANCI-2 expression is upregulated along with cervical lesion progression by HR-HPV infections (Liu et al., 2021), we further verified the increased expression of lnc-FANCI-2 in cervical cancer tissues by RNAscope single-molecule RNA in situ hybridization (RNA-ISH) using an lnc-FANCI-2 antisense probe spanning over the major isoform of lnc-FANCI-2 nt 359–1713 region (GenBank MT669800.1). We found both cytoplasmic and nuclear locations of the increased lnc-FANCI-2 ISH signals within the tumor nest in HPV16-infected cervical squamous cell carcinoma tissues, but not much so in its adjacent normal tissue areas (Figure 1A/B). The increased expression of lnc-FANCI-2 became obvious in human foreskin keratinocytes with HPV16 or HPV18 infection when compared to the HFK cells without HPV infection (Figure 1C).

Figure 1. Increased expression of lnc-FANCI-2 in HPV16-infected cervical squamous cell carcinoma tissues and HPV16- and HPV18-infected raft culture tissues.

Figure 1.

(A and B) Expression of lnc-FANCI-2 (red) in HPV16+ cervical squamous cell carcinoma tissues was examined by RNAscope RNA in situ hybridization (RNA-ISH) analysis. Nuclei were stained with DAPI (blue). The corresponding regions (A) in H&E staining are shown for the adjacent region from the tumor nest and histotype. (C) Human foreskin keratinocyte (HFK)-derived raft cultures without (HFK) or with HPV16 or HPV18 infections (HFK-HPV16 or HFK-HPV18) were examined at day 10 for lnc-FANCI-2 RNA by RNAscope RNA-ISH analysis. Scale bars: 25 μm in the original figures and 10 μm in the zoomed insets.

However, we subsequently demonstrated the high expression of lnc-FANCI-2 in two HPV16-infected cervical cancer cell lines (SiHa and CaSki) and two HPV16-infected low-grade cervical lesion-derived cervical keratinocyte subclone lines (W12 20,861 and W12 20,863 cells), but not in two HPV18-infected cervical cancer cell lines (HeLa and C4II cells), nor other HPV-negative cell lines of HCT116 (colorectal cancer cells), BCBL-1 (body cavity B lymphoma cells), HEK293 (Ad5 E1/E2-immortalized human kidney cells), and HaCaT (spontaneously immortalized human epidermal cells) (Figure 2A). Interestingly, the high expression of lnc-FANCI-2 was observed in an HPV-negative cervical cancer cell line C33A cells with mutations of both p53 and RB genes (Scheffner et al., 1991; Figure 2A). Northern blot confirmed the increased expression of lnc-FANCI-2 in C33A cells but no expression in HeLa cells (Figure 2B).

Figure 2. Selective expression of lnc-FANCI-2 RNA in cervical cancer cell lines.

Figure 2.

(A) RT-qPCR detection of lnc-FANCI-2 in HPV16+ cervical cancer cell lines SiHa, CaSki, and W12 20861 (integrated HPV16) and 20863 (episomal HPV16), HPV18+ cervical cancer cell lines HeLa and C4II, and HPV- cell lines C33A (cervical cancer cells with mutations of p53 and pRb), HCT116 (colorectal cancer cells), BCBL-1 (body cavity B lymphoma cells), HEK293 (Ad5 E1/E2-immortalized human kidney cells), and HaCaT (spontaneously immortalized human epidermal cells) in triplicates. (B) HeLa cells express no lnc-FANCI-2 when compared with C33A cells by northern blot. (C) lnc-FANCI-2 is mainly cytoplasmic in CaSki but nuclear in SiHa and C33A cells. Cytoplasmic and nuclear fractionation efficiency was blotted for nuclear SRSF3 (serine- and arginine-rich splicing factor 3) and cytoplasmic GAPDH. Total fractionated cytoplasmic and nuclear RNAs were quantified for lnc-FANCI-2 by RT-qPCR in triplicates, with GAPDH RNA serving as an internal control for RNA fractionation efficiency. (D) Subcellular lnc-FANCI-2 (red) localization in CaSki, SiHa, and C33A cells determined by RNAscope RNA in situ hybridization (RNA-ISH) analysis. Nuclei were stained with DAPI (blue). Scale bars: 25 μm in the top and 10 μm in the zoom.

Figure 2—source data 1. Northern blot and western blot data for Figure 2.
Figure 2—source data 2. Northern blot and western blot data for Figure 2.

Subcellular distribution of lnc-FANCI-2 was characterized by cell fractionation and western blot assays using nuclear SRSF3 and cytoplasmic GAPDH protein as an indication of fractionation efficiency (Figure 2C). By RT-qPCR analysis of the fractionated total RNA, we demonstrated that lnc-FANCI-2 RNA is mainly cytoplasmic in HPV16-positive CaSki cells, but nuclear in HPV16-positive SiHa and HPV-negative C33A cells (Figure 2C). The differential subcellular distributions of lnc-FANCI-2 RNA from CaSki to SiHa and C33A cells (Figure 2D) were further confirmed by RNAscope RNA-ISH using the lnc-FANCI-2 antisense probe described above.

lnc-FANCI-2 regulates proliferation of HPV-transformed cervical cancer cells

lnc-FANCI-2 RNA is transcribed mainly from a proximal promoter TSS2, but also from an alternative minor, distal promoter TSS1. Two highly conserved YY1 binding motifs upstream of the TSS2 are essential for the TSS2 transcriptional activity (Liu et al., 2021; Figure 3A). To elucidate the function of lnc-FANCI-2 in high-risk HPV-infected cervical cancer cells, we knocked out lnc-FANCI-2 expression in HPV16-positive CaSki cells using CRISPR/Cas9 deletion of either a 3 kb promoter region encompassing both TSS1 and TSS2 or an 86 bp region containing two YY1-binding motifs in the TSS2 promoter (Figure 3A). Two tested guide RNAs (gRNAs) with high KO efficiency were selected and cloned into a modified CRISPR/Cas9 expression vector to express both 5’-specific gRNA and 3’-specific gRNA simultaneously for efficient genome editing (BeltCappellino et al., 2019). CaSki cells stably transfected with the dual gRNA expression vector were generated. Through a serial dilution, several single-cell clones were isolated and verified for homozygous deletion by PCR screening. PCR genotyping indicated successful homozygous deletion of the promoter or YY1-binding motifs, respectively (Figure 3B).

Figure 3. Knockout (KO) of lnc-FANCI-2 in CaSki cells affects cell proliferation, colony formation, and migration.

(A) Diagram and KO strategies of lnc-FANCI-2 gene. On the figure top is the lnc-FANCI-2 gene structure and its alternative transcription start sites (TSS) and polyadenylation sites (pA). TSS2 or pA2 with a heavier arrow is predominately used for lnc-FANCI-2 expression. The lower figure part shows KO strategies. Red slashes represent guide RNA (gRNA)-targeted sites to create genomic DNA deletions by CRISPR-Cas9 technology. Deletion of two YY1-binding motifs (ΔYY1) led to a deletion of 86 bp DNA fragment. Deletion of lnc-FANCI-2 promoter (ΔPr) led to deleting an ~3.3 kb promoter region. Primers (P1–P4) used for PCR screening were shown as black arrows. (B) PCR screening of single-cell clones with homozygous lnc-FANCI-2 KO, with indicated primer sets diagrammed (A). Single-cell clones selected from the cells transfected with an empty vector served as control (Ctrl) cells. (C) Evaluation of lnc-FANCI-2 KO efficiency in the selected single-cell clones (B) by RT-qPCR. (D) Northern blot validation of lnc-FANCI-2 KO efficiency from the individual single-cell clones or the parental (wild-type [WT]) CaSki cells on polyA+ RNA (enriched from 100 μg of total cell RNA, lanes 1–4) or 10 μg of total cell RNA (lanes 5–9). Total cell RNA (2 μg) of HEK293T cells with ectopic expression of two isoforms (short, S or long, L) of lnc-FANCI-2 cDNA served as a control. Antisense oligo probe P5 (A) labeled with 32P was used for hybridization. GAPDH RNA served as a loading control and hybridized with a GAPDH-specific oligo probe. (EF) RNA in situ hybridization (RNA-ISH) validation of lnc-FANCI-2 KO efficiency by RNAscope technology. Two single-cell clones were examined with red color for lnc-FANCI-2 and blue color for the nucleus (E). Bar graphs show the copy number of lnc-FANCI-2 per cell in the WT, ΔYY1-D5, or ΔPr-A9 CaSki cells (each averaged from 200 cells) (F). (GI) Cell proliferation, colony formation, and migration of WT, ΔYY1-D5, or ΔPr-A9 cells show requirements of lnc-FANCI-2 expression for cell proliferation, colony formation, and cell invasion of CaSki cells. Representative pictures are shown from three separate experiments of cell proliferation by CCK8 assay (G), cell colony formation under 1% methylcellulose solution (H), and cell migration by transwell assay (I) of WT, ΔYY1-D5, or ΔPr-A9 cells. Cell colonies were stained with crystal violet as described in the procedure. Numbers of the invaded cells that crossed the transwell membrane were quantified and shown as bar graphs (I). *, p<0.05; **, p<0.01; ***, p<0.001 by two-tailed Student’s t-test.

Figure 3—source data 1. PCR screening and northern blot data of lnc-FANCI-2 KO single cell clones for Figure 3.
Figure 3—source data 2. PCR screening and northern blot data of lnc-FANCI-2 KO single cell clones for Figure 3.

Figure 3.

Figure 3—figure supplement 1. lnc-FANCI-2 knockout (KO) on characteristic CaSki cell growth behavior and morphology imaged at 24 hr after spreading.

Figure 3—figure supplement 1.

(A) Parental wild-type (WT) CaSki and ΔYY1-D5 CaSki cells. (B) Parental WT CaSki and ΔPr-A9 CaSki cells.
Figure 3—figure supplement 2. lnc-FANCI-2 knockout (KO) on expression of viral oncoproteins and cell senescence.

Figure 3—figure supplement 2.

(A) Effect of lnc-FANCI-2 KO in CaSki cells on the expression of HPV16 E6 and E7 and their downstream targets. Total cell extracts from parental CaSki, ΔPr-A9, and ΔPr-B3 cells were immunoblotted with the corresponding antibodies. Tubulin or GAPDH served as a protein loading control. The relative protein levels of E6, E7, p53, and E2F1 were calculated after normalizing to tubulin or GAPDH in the corresponding experiment. Expt I or II = experiment I or II. (B) KO of lnc-FANCI-2 expression enhances cell senescence in β-gal analysis.
Figure 3—figure supplement 2—source data 1. lnc-FANCI-2 KO in CaSki cells and the expression of HPV16 E6 and E7 and their downstream targets.
Figure 3—figure supplement 2—source data 2. lnc-FANCI-2 KO in CaSki cells and the expression of HPV16 E6 and E7 and their downstream targets.

Loss of lnc-FANCI-2 expression in the single-cell clones was examined by RT-qPCR (Figure 3C). When compared to all control clones transfected and selected from an empty vector containing no gRNA, all single-cell clones with deletion of YY1-binding motifs (ΔYY1) showed 70–80% reduction of lnc-FANCI-2 expression, whereas the single-cell clones with deletion of both TSS1 and TSS2 promoters (ΔPr) showed >90% reduction (Figure 3C). Northern blot analysis confirmed the decrease in levels of the two major lnc-FANCI-2 isoforms (Figure 3D), with an abundant 4 kb lnc-FANCI-2 RNA derived from a distal polyadenylation site pA2 and a less abundant 2 kb of lnc-FANCI-2 RNA derived from a proximal polyadenylation site pA1 (Liu et al., 2021; Figure 3A and D). Reduced lnc-FANCI-2 RNA expression was also confirmed by RNAscope RNA-ISH (Figure 3E and F). The parental (WT) CaSki cells expressed ~10 copies of lnc-FANCI-2 RNA per cell (Liu et al., 2021), whereas the copy number of lnc-FANCI-2 RNA in the ΔYY1-D5 cells dropped to ~5 copies and to ~2 copies per cell in the ΔPr-A9 cells (each averaged from 200 cells, Figure 3F).

Although the WT CaSki cells preferentially grow as distinct cluster cell islands, the lnc-FANCI-2 KO cells displayed a dispersed cell growth pattern, and some cells exhibited an irregular or spindle-like cell morphology (Figure 3—figure supplement 1). The KO cells also grew slower than the parental CaSki cells (Figure 3G), formed fewer colonies with reduced size (Figure 3H), and showed decreased migration capacities (Figure 3I), with ΔPr-A9 cells having a more severe phenotype than ΔYY1-D5 cells. Subsequently, the ΔPr-A9 and ΔPr-B3 cells were further examined for their HPV16 E6 and E7 expression and the ΔPr-A9 for cell senescence. We found both ΔPr-A9 and ΔPr-B3 cells, when compared with parental WT CaSki cells, exhibited some small, variable changes in the expression of E6, E7, p53 (E6 downstream target) and E2F1 (E7 downstream target) proteins (Figure 3E and I, Figure 3—figure supplement 2A), most likely from sampling in the assays, but the ΔPr-A9 cells displayed significant increase in cell senescence (Figure 3G and I, Figure 3—figure supplement 2B). Altogether, the data indicate that lnc-FANCI-2 RNA is important for cell growth, colony formation, and cell migration.

lnc-FANCI-2 regulates the expression and secretion of cell soluble receptors

Considering that the altered expression of cell membrane proteins and secreted factors in the lnc-FANCI-2 KO cells might contribute to the observed different cell morphology and growth properties, we performed a Proteome Profiler Human sReceptor Array analysis to examine possible changes in the expression of 105 well-characterized soluble protein receptors being involved in cell signaling using total cell lysates and cell culture supernatants from ΔPr-A9 and WT CaSki cells.

Using a 30% cutoff (FC -/+ 0.3), we identified from the ΔPr-A9 cell lysate nine proteins with increased expression compared to the WT CaSki cells, including PODXL2, ECM1, NECTIN2, MCAM, ADAM9, ADAM10, CDH5, ITGA5, and NOTCH1, and six proteins with decreased expression, including ITGB6, CDH13, LGALS3BP, TIMP2, ADAM8, and SCARF2 (Figure 4A and B). We also found from the ΔPr-A9 cell culture supernatant five proteins with increased expression, including ADAM9, NECTIN2, ADAM10, CDH5, and ECM1, and the decreased expression of four proteins, including CRELD2, SDC1, SDC4, and TIMP2 (Figure 4A and B). By immunoblot assays, we verified selectively the increase in PODXL2, MCAM, and ECM1 and the decrease in ADAM8 and TIMP2 from the ΔPr-A9 cell lysates and the increase in ECM1 and the decrease in TIMP2 in the ΔPr-A9 cell culture supernatant (Figure 4C). As ADAM8 is proteolytically processed into two protein isoforms for cell adhesion (Schlomann et al., 2002) and migration (Conrad et al., 2022), we confirmed by immunoblot the decreased expression of all three sizes of ADAM8 protein in the ΔPr-A9 cell lysate over the WT CaSki cells (Figure 4C).

Figure 4. Knockout (KO) of lnc-FANCI-2 in CaSki cells affects expression of cellular soluble receptors.

Figure 4.

(A) Dot blots show differentially expressed soluble receptors in ΔPr-A9 cells when compared to those in the wild-type (WT) CaSki cells. A Proteome Profiler Human sReceptor Array was used to examine 105 cellular soluble receptors. Label in red, upregulated receptors; label in blue, downregulated receptors. (B) Quantification of differentially expressed and/or released soluble receptors (A) in ΔPr-A9 cells when compared to those in the WT CaSki cells. Error bars represent standard deviation of replicates in each proteome array. The dashed line indicates the threshold of fold change (FC) with a score above or below the threshold (-/+0.3 FC) being determined as differentially expressed and/or released receptors. (C) Validation of several differentially expressed soluble receptors by immunoblot analysis using specific antibodies. Tubulin served as an internal loading control. *Nonspecific band in MCAM immunoblot.

Figure 4—source data 1. Knockout (KO) of lnc-FANCI-2 in CaSki cells affects expression of cellular soluble receptors.
Figure 4—source data 2. Knockout (KO) of lnc-FANCI-2 in CaSki cells affects expression of cellular soluble receptors.

lnc-FANCI-2 regulates the expression of genes involved in RAS signaling

We next conducted genome-wide RNA-seq analyses of WT and lnc-FANCI-2 KO cells (4 samples/group) to determine the transcriptomic consequences of lnc-FANCI-2 deficiency. We obtained ~120 million mappable RNA reads to the human reference genome hg38 from each sample. Analysis of RNA-seq reads-coverage map by Integrative Genomics Viewer (IGV) showed ~90% reduction of lnc-FANCI-2 expression in ΔPr-A9 cells and ~72% decrease in ΔYY1-D5 cells compared to the WT CaSki cells (Figure 5A), consistent with the results shown in Figure 3C–F.

Figure 5. Transcriptomic effect of lnc-FANCI-2 knockout (KO) in CaSki cells by RNA-seq analysis.

Figure 5.

(A) RNA-seq reads-coverage maps by Integrative Genomics Viewer (IGV) showing the expression levels of lnc-FANCI-2 from two KO cell clones, ΔPr-A9 and ΔYY1-D5, to the wild-type (WT) CaSki cells. One representative coverage profile of four in each type of cells is shown by IGV. FPKM, fragments per kilobase of transcript per million. Red slashes represent the deleted genomic region, with validated 14 lnc-FANCI-2 RNA isoforms shown below (Liu et al., 2021). (B) Similarity in heatmap comparison among ΔPr-A9, ΔYY1-D5, and WT cells was generated using Limma-normalized counts from each sample by Pearson complete linkage method. (C) Volcano plot visualization of differentially expressed genes (DEGs) in ΔPr-A9 and ΔYY1-D5. The genes with the most significant change in the increased (red) or decreased (blue) expression are indicated. FC, fold change. (D) Venn diagram depicting the overlapped DEGs between ΔPr-A9 and ΔYY1-D5 cells over the WT CaSki cells. (E) Heatmap shows overlapped DEGs with FPKM ≥7 in ΔPr-A9 and ΔYY1-D5 cells when compared with the WT CaSki cells. (F) Validation of selective 12 upregulated or downregulated DEGs shown in the heatmap by RT-PCR with gene-specific primers in the presence (+) or absence (-) of reverse transcriptase (RT). GAPDH served as an internal RNA control. Relative expression level of each gene was calculated based on the band density after normalizing to GAPDH RNA band, with the expression level in the WT CaSki cells set as 1. M, a 100 bp DNA marker. (G) Validation of the upregulated expression of IGFBP3 in ΔPr-A9 cells over the WT CaSki cells by immunoblot analysis.

Figure 5—source data 1. Validation of selective 12 upregulated or downregulated DEGs by RT-PCR.
Figure 5—source data 2. Validation of selective 12 upregulated or downregulated DEGs by RT-PCR.

Hierarchical clustering analysis showed more global transcriptional similarity between ΔYY1-D5 and ΔPr-A9 cells (Figure 5B). By applying a threshold of fold change (FC)≥1.8 or FC ≤–1.8 with FDR ≤0.01, we found 1230 genes in ΔPr-A9 and 797 genes in ΔYY1-D5 cells that were significantly differentially expressed relative to the WT CaSki cells expressing ~15,890 genes. Nine (Italic) of 15 (60%) soluble receptor proteins in cell lysates (PODXL2, ECM1, NECTIN2, MCAM, ADAM9, CDH5, ADAM10, ITGA5, NOTCH1, SCARF2, ADAM8, TIMP2, LGALS3BP, CDH13, and ITGB6) exhibited consistent changes in expression by both RNA-seq and protein array assays. The most significantly affected genes are shown in Volcano plots (Figure 5C and Supplementary file 1). Among these, 211 were upregulated and 189 were downregulated in both ΔPr-A9 and Δ YY1-D5 cells (Figure 5D and Supplementary file 2). By applying more stringent criteria with FPKM ≥7 in at least one of four RNA-seq samples as a cutoff, we profiled the genes with large expression differences in both ΔPr-A9 and ΔYY1-D5 cells. The results displayed in the heatmap of Figure 5E included 52 upregulated and 47 downregulated genes, excluding lnc-FANCI-2. Subsequently, we selectively verified by RT-PCR the decreased expression of ITGB6, NLRP2, PLAC8, PSG4, PSMB9, and SERPINB1 and the increased expression of CFH, CNTN5, EMP3, IGFBP3, PTGS2, and SERPINB2 in ΔPr-A9 cells (Figure 5F), as well as the increased expression of IGFBP3 protein, a RAS signaling driver (Conover et al., 2000; Allard and Duan, 2018; Bach, 2018), in ΔPr-A9 cells by immunoblot (Figure 5G).

By performing the gene set enrichment analysis (GSEA) on the Hallmark gene sets, which provide more refined and concise inputs for GSEA (Liberzon et al., 2015), we found the most significantly upregulated pathways in both ΔPr-A9 and ΔYY1-D5 cells, when compared with the WT CaSki cells, were KRAS signaling and epithelial-mesenchymal transition (EMT). The most significantly downregulated pathways in both ΔPr-A9 and ΔYY1-D5 cells over the WT CaSki cells were interferon gamma (IFN-γ) and interferon alpha (IFN-α) responses (Figure 6A). GSEA plots for ΔPr-A9 show 29 of 111 genes, including IGFBP3 (Conover et al., 2000; Allard and Duan, 2018; Bach, 2018), in RAS signaling and 39 of 130 genes in EMT (Figure 6B and C, Supplementary file 3) were significantly upregulated, whereas 37 of 139 genes in IFN-γ response and 24 of 71 genes in IFN-α response were significantly downregulated (Figure 6D and E, Supplementary file 3). Similar enriched gene sets with increased RAS signaling and EMT and decreased IFN-γ and IFN-α responses were observed in ΔYY1-D5 cells (Figure 6—figure supplement 1, Supplementary file 3).

Figure 6. Pathway analyses of differentially expressed genes (DEGs) identified by RNA-seq.

(A) Top 3 upregulated and top 4 downregulated pathways in ΔPr-A9 and ΔYY1-D5 cells over the wild-type (WT) CaSki cells. Data were generated by gene set enrichment analysis (GSEA) performed with Hallmark gene sets. NES stands for normalized enrichment score. (BE) Each GSEA plot shows the enrichment score and gene hits enriched in ΔPr-A9 cells using Hallmark gene sets, KRAS_SIGNALING_UP (B), EPITHELIAL_MESENCHYMAL_TRANSITION (C), INTERFERON_GAMMA_RESPONSE (D), or INTERFERON_ALPHA_RESPONSE (E). padj, adjusted p-value; Zero crossed 7342, the middle number of total genes in the GSEA at ranking. The heatmaps below the enrichment plots (B and C) visualize the genes enriched in respective pathways of KRAS_SIGNALING_UP (B) and EPITHELIAL_MESENCHYMAL_TRANSITION (C) in ΔPr-A9 cells when compared to the WT CaSki cells.

Figure 6.

Figure 6—figure supplement 1. Gene set enrichment analysis (GSEA) enrichment plots show enrichment scores and gene hits enriched in ΔYY1-D5 cells using Hallmark gene sets.

Figure 6—figure supplement 1.

(A) KRAS_SIGNALING_UP. (B) EPITHELIAL_MESENCHYMAL_TRANSITION. (C) INTERFERON_GAMMA_RESPONSE. (D) INTERFERON_ALPHA_RESPONSE. The heatmaps on the right side of enrichment plot in the panels A and B visualize the genes with differentiated expression enriched in each pathway in ΔYY1-D5 cells.

Since ΔPr-A9 cells exhibit higher KO efficiency of lnc-FANCI-2 and a higher number of differentially expressed genes (DEGs) and show more severe phenotypic changes in cell proliferation, migration, and colony formation than ΔYY1-D5 cells, the ΔPr-A9 cells were primarily used for further focused studies on RAS signaling in this report.

lnc-FANCI-2 regulates RAS GTPase activities to phosphorylate RAS signaling effectors Akt and Erk

RAS activation triggers two major downstream signal transduction pathways, Raf/Mek/Erk and PI3K/Akt (Figure 7—figure supplement 1), to transduce signals from extracellular stimuli to the cell nucleus where specific effector genes are activated for their corresponding functions (Conover et al., 2000; Allard and Duan, 2018; Bach, 2018; Downward, 2003; Simanshu et al., 2017). To further confirm the GSEA data and verify that two major signaling pathways of RAS are activated, we first examined and compared the RAS GTPase activities in ΔPr-A9 cells and the WT CaSki cells. We found a significant increase in RAS GTPase activity in ΔPr-A9 cells (Figure 7A, top bar graphs), indicating that the endogenous lnc-FANCI-2 RNA in CaSki cells suppresses not only the expression of IGFBP3 (Figure 5F and G), the most abundant IGFBP, but also RAS activation (Figure 6A, top bar graphs). Since ΔPr-A9 cells had undergone long-term selection and adaption during single-cell screening, the increased RAS GTPase activity might result from selection pressure for cell survival. However, by transient siRNA knockdown (KD) of lnc-FANCI-2 expression in the WT CaSki cells, we obtained a similar, albeit weaker, increase of RAS GTPase activity (Figure 7A, lower bar graphs). This result suggests that the increased RAS GTPase activity in ΔPr-A9 cells was unrelated to the persistent selection pressure, but rather the deficiency of lnc-FANCI-2.

Figure 7. CaSki cells with lnc-FANCI-2 knockout (KO) exhibit activation of RAS signaling pathway.

(A) CaSki cells with lnc-FANCI-2 KO (top, ΔPr-A9 cells) or knockdown (KD, lower) by lnc-FANCI-2-specific siRNAs display increased RAS GTPase activity when compared to the wild-type (WT) CaSki cells (top) or the WT cells treated with a nonspecific control siRNA (siNS). The relative RAS GTPase activity was measured by a RAS GTPase Chemi ELISA. *, p<0.05; ***, p<0.001 by two-tailed Student’s t-test. (B and C) Selective validation of increased expression of RAS signaling-related downstream genes in lnc-FANCI-2 KO ΔPr-A9 cells (B) over the WT CaSki cells or lnc-FANCI-2 KD CaSki cells (C) over the WT cells treated with a nonspecific control siRNA (siNS). Relative expression of the indicated genes in ΔPr-A9 cells in comparison to the WT cells (B) or in the WT CaSki cells treated for 48 hr and 96 hr with a nonspecific control siRNA (siNS) or a siRNA specifically targeting the lnc-FANCI-2 exon 3 (C) was immunoblotted using the corresponding antibodies as indicated. Tubulin served as an internal control for each blot. The level of p-Akt or p-Erk was calculated by normalizing to total Akt or Erk protein and the other proteins by normalizing to tubulin. The protein level in the WT cells or WT cells treated with siNS is set as 1. The KD efficiency of lnc-FANCI-2 RNA (C, top bar graphs) was examined by RT-qPCR. (D) Effect of blocking RAS signaling on the expression of MCAM and VIM using PI3K inhibitor LY294002 (20 μM) and MEK inhibitor U0126 (10 μM). The protein at each time point was immunoblotted with a corresponding antibody. The level of MCAM or VIM was calculated after normalizing to tubulin. The protein level in ΔPr-A9 cells without the inhibitor was set as 100%. *, Nonspecific protein band. (E) The time-dependent cell viability of the WT CaSki and ΔPr-A9 cells in the presence of 20 μM LY294002 or 10 μM U0126. Data was obtained at each time point after normalizing to the cells treated with DMSO. The mean ± SD at each data point was calculated from six samples combined from two independent experiments.

Figure 7—source data 1. lnc-FANCI-2 knockout (KO) and activation of RAS signaling pathway.
Figure 7—source data 2. lnc-FANCI-2 knockout (KO) and activation of RAS signaling pathway.

Figure 7.

Figure 7—figure supplement 1. Pathway map of the RAS Initiative with highlighted differentially expressed genes (DEGs) in ΔPr-A9 cells vs parental wild-type cells.

Figure 7—figure supplement 1.

Pathway map of RAS Initiative with highlighted DEGs in ΔPr-A9 cells vs parental wild-type cells. DEGs are mainly distributed and clustered in two main branches of the RAS pathway: MAPK signaling branch and PI3K/AKT branches. DEGs were derived from RNA-seq data at a cutoff of adjusted p-value≤0.01 and fold change >1.5 for both up- and downregulated genes (indicated by red and blue arrows, respectively) between ΔPr-A9 and WT CaSki cells using three common analysis methods (DESeq2, edgeR, and limma-voom) and in-house BRB analysis pipeline from NCI. Highlighted genes in the pathway map are derived as DEGs in at least three of the analysis methods, although in most cases, these DEGs behaved consistently across all four methods. MAPK signaling branch is highlighted in a transparent green box, and PI3K/AKT branch is highlighted in a transparent yellow box within the pathway map of RAS signaling pathway, which was collectively collated from community inputs that were organized and stimulated by RAS Initiative and maintained as a common knowledge basis here: https://www.cancer.gov/research/key-initiatives/ras/ras-central/blog/2015/ras-pathway-v2, which was also described in a recent review (Figure 1 in Nissley and McCormick, 2022). Reference (where the Ras pathway map has been described).
Figure 7—figure supplement 2. Knockout or knockdown (KD) of lnc-FANCI-2 affects RAS signaling.

Figure 7—figure supplement 2.

(A) Selective validation of increased expression of RAS signaling-related downstream genes in ΔPr-A9 and ΔYY1-D5 cells. (B) KD of lnc-FANCI-2 expression in SiHa cells enhanced phosphorylation of Akt and Erk1/2, but it did not in HeLa cells, which do not express lnc-FANCI-2.
Figure 7—figure supplement 2—source data 1. lnc-FANCI-2 knockout (KO) and activation of RAS signaling pathway.
Figure 7—figure supplement 2—source data 2. lnc-FANCI-2 knockout (KO) and activation of RAS signaling pathway.

Next, we examined activation of the PI3K/Akt and Raf/Mek/Erk pathways (Castellano and Downward, 2011; Asati et al., 2016; Cuesta et al., 2021). We observed a 3-fold increase in phosphorylated Akt (p-Akt) and 2.5-fold increase of p-Erk1/2 (p44/p42 MAPK), after being normalized to total Akt and Erk levels, in ΔPr-A9 cells over the WT CaSki cells (Figure 7B). These results were confirmed in ΔYY1-D5 cells (Figure 7—figure supplement 2A). The increased p-Akt and p-Erk (mostly p-Erk2/p42) was accompanied by elevated expression of MCAM, VIM, and CCND2, and decreased expression of RAC3 (Figure 7B, Figure 7—figure supplement 2A). These randomly chosen potential RAS effector proteins facilitate soluble receptor functions, cell proliferation, and EMT. Moreover, transient siRNA KD of lnc-FANCI-2 in the WT CaSki cells also led to the increased levels of p-Akt and p-Erk (Figure 7C) and increased expression of MCAM and VIM at 48 hr and 96 hr post-transfection (Figure 7C). These observations indicate that a transient loss of lnc-FANCI-2 in CaSki cells is sufficient to trigger RAS signaling. The same siRNA transfection in HeLa cells, an lnc-FANCI-2-negative cell line (Figure 2A and B), exhibited no effect on p-Akt or p-Erk1/2 levels (Figure 7—figure supplement 2B), but in SiHa cells containing mainly nuclear lnc-FANCI-2 (Figure 2C and D), enhanced the expression of p-Akt and p-Erk1/2 (Figure 7—figure supplement 2B), verifying the specific effect of lnc-FANCI-2 depletion on RAS signaling pathways independently of predominant cellular distribution of lnc-FANCI-2. The lnc-FANCI-2 KO-mediated increase in p-Akt and p-Erk was sensitive to PI3K inhibitor LY294002 (Vanhaesebroeck et al., 2021; Figure 7D, lanes 4–6) and MEK1/2 inhibitor U0126 (Favata et al., 1998; Figure 7D, lanes 7–9), respectively. The inhibitors also decreased the expression of VIM and MCAM and cell proliferation by MEK1/2 inhibitor U0126 (Figure 7D and E). The effects of LY294002 on cell proliferation were similar from ΔPr-A9 to the WT CaSki cells (Figure 7E).

lnc-FANCI-2 inhibits the expression of IGFBP3 and MCAM (CD146 or MUC18)

Given that IGFBP-3 is the most abundant IGFBP among all six IGFBP members in potentiation of IGF action and PI3K/AKT activities (Conover et al., 2000) and a reduced expression of IGFBP-3 mRNA level is associated with progression to cervical cancer (Serrano et al., 2007), we further investigated the effect of lnc-FANCI-2 on the expression of IGFBP3 as a lnc-FANCI-2 effector gene. As shown in Figure 5F and G, Figure 8—figure supplement 1A, the increased RNA and protein expression of IGFBP3 appears in the lnc-FANCI-2 KO ΔPr-A9 cells over the parental WT CaSki cells, indicating a suppressive effect of lnc-FANCI-2 on IGFBP3 expression. This suppressive function of lnc-FANCI-2 was further confirmed in lnc-FANCI-2 rescue experiments in the ΔPr-A9 cells (Figure 8A and B). By transient expression of one major isoform of lnc-FANCI-2 RNA (a-PA2, GenBank: MT669800.1) (Liu et al., 2021) in the ΔPr-A9 cells, lnc-FANCI-2 (red) and IGFBP3 RNA (green) at 24 hr post transfection were detected by RNAscope RNA-ISH using each specific antisense RNA probe (Figure 8A). We demonstrated that the cells with rescued expression of cytoplasmic lnc-FANCI-2 RNA displayed much reduced expression of cytoplasmic IGFBP3 RNA (Figure 8B).

Figure 8. lnc-FANCI-2 is suppressive to the expression of IGFBP3 and MCAM.

(A and B) Transient rescue expression of lnc-FANCI-2 in Δpr-A9 cells inhibits the expression of IGFBP3. ΔPr-A9 cells were transfected with a major isoform lnc-FANCI-2a-PA2 (GenBank ACC. No. MT669800.1) cDNA plasmid. lnc-FANCI-2 in red and IGFBP3 RNA in green were detected by RNAscope RNA in situ hybridization (RNA-ISH) at 24 hr post transfection using each specific antisense RNA probe and imaged by confocal microscopy (A). Expression levels of lnc-FANCI-2 RNA and IGFBP3 RNA in four neighboring cells (B) were measured by signal intensity of a line crossing over the stained cells in A (white line arrow). (C) Validation of differential expression of MCAM RNA in ΔPr-A9 cells by RT-PCR in the presence (+) or absence (-) of reverse transcriptase (RT). One pair of primers with one primer at exon 11 and the other at exon 13 of MCAM RNA (NM_006500) were used. GAPDH served as a loading control. (D) The major isoform lnc-FANCI-2a-PA2 repressed the expression of MCAM. ΔPr-A9 cells were transfected with lnc-FANCI-2a-PA2 cDNA plasmid. lnc-FANCI-2 RNA in red was detected by RNAscope ISH and MCAM protein in green was detected by IF with an anti-MCAM antibody. (E) Expression levels of lnc-FANCI-2 RNA and MCAM protein in three neighboring cells were measured by signal intensity of a line crossing over the stained cells (D, white line arrow). (F) Calculation of the expression levels of MCAM in lnc-FANCI-2-positive cells (n=35) and lnc-FANCI-2-negative cells (n=54) by fluorescent intensity. (G) Subcellular MCAM distributions in the nucleus (N) and cytoplasm (C) of WT CaSki cells and ΔPr-A9 by immunoblot analysis. Fractionation efficiency and sample loading were controlled by cytoplasmic (represented by tubulin) and nuclear (represented by hnRNP C1/C2) proteins. (HI) Correlation and survival analysis of lnc-FANCI-2 and MCAM expression with cervical squamous cell carcinoma (CESC) cases from the cancer genome atlas (TCGA) datasets by GEPIA web server (http://gepia.cancer-pku.cn/). The negative correlation at R=–0.321 (with p-value = 1.02e-08) of Inc-FANCI-2 with MCAM in cervical cancer patients was obtained from the RNA-seq data from the TCGA CESC tumors downloaded from the TCGA data portal (https://portal.gdc.cancer.gov/). Only primary solid tumor samples (n=304 after exclusion of 2 metastatic samples and 3 normal samples) were subjected to analysis, with the data showing as a scatter plot (H). Kaplan-Meier plot with log-rank test p-value at 5.74e-05 (I) shows MCAM as a biomarker for poor prognosis of cervical cancer survival with a lower quartile group cutoff. RNA-seq and survival data are derived from the TCGA CESC cancer patients. (J/K) AKT and ERK phosphorylation are partially regulated by MCAM and IGFBP3 in CaSki cells. KD of MCAM (J) and IGFBP3 (K) expression in WT parental CaSki or ΔPr-A9 cells was treated with MCAM siRNA or IGFBP3 siRNA along with or without lnc-FANCI-2 siRNA for 48 hr. Expression levels of individual proteins were immunoblotted using the corresponding antibodies. The level of MCAM, p-Akt, or p-Erk1/2 was calculated after normalizing to tubulin. The protein level in a non-targeting siRNA (siNS) control was set as 1.

Figure 8—source data 1. lnc-FANCI-2 is suppressive to the expression of IGFBP3 and MCAM.
Figure 8—source data 2. lnc-FANCI-2 is suppressive to the expression of IGFBP3 and MCAM.

Figure 8.

Figure 8—figure supplement 1. Expression of IGFBP3, MCAM, MAP4K4, and lnc-FANCI-2.

Figure 8—figure supplement 1.

(AB) RNA-seq reads-coverage of IGFBP3 and MCAM by Integrative Genomics Viewer (IGV) illustrates the increased expression of IGFBP3 and MCAM in lnc-FANCI-2 knockout (KO) cells ΔPr-A9 and/or ΔYY1-D5 when compared to the parental WT CaSki cells. (C) Knockdown (KD) of MAP4K4 expression in lnc-FANCI-2 KO ΔPr-A9 cells further enhances phosphorylation of Erk1/2 but little on MCAM and p-Akt and no effect on IGFBP3.
Figure 8—figure supplement 1—source data 1. Expression of IGFBP3, MCAM, MAP4K4, and lnc-FANCI-2.
Figure 8—figure supplement 1—source data 2. Expression of IGFBP3, MCAM, MAP4K4, and lnc-FANCI-2.
Figure 8—figure supplement 2. Expression levels of lnc-FANCI-2 and MCAM are significantly associated with the cancer genome atlas (TCGA) cervical squamous cell carcinoma (CESC) cancer patients’ survival outcome.

Figure 8—figure supplement 2.

Expression levels of lnc-FANCI-2 and MCAM are significantly associated with TCGA CESC cancer patients’ survival outcome. The expression of Inc-FANCI-2 (A) and of MCAM (B) along with survival of the same group of 304 cervical cancer patients was analyzed by our in-house GradientScanSurv pipeline (Yi et al., 2018). The open gray circles in each plot are ranked expression levels from high (left) to low (right) of Inc-FANCI-2 (A) and MCAM (B) from all patient samples as indicated by y-axis at the right side of the plot (in RSEM normalized value of RNA-seq data). At each breaking point denoted by patient number (x-axis), the log-rank test (y-axis at the left side of the plot) was performed between the higher expression group at the left side of the cut-point and the lower expression group at the right side of the cut-point, and the indicated log-rank p-values (blue dots) are shown at each cut-point at x-axis. The horizontal red line is the p=0.05 cutoff line for the log-rank test p-values. If a log-rank p-value (blue dot) at a cut-point is below the cutoff (p<0.05), there will be a vertical green line shown at the corresponding cut-point, indicative of a significant log-rank test p-value, and also a brown diamond plotted either at the bottom part of the vertical green line (A) if higher expression of lnc-FANCI-2 led to less severe outcome (dying slower than the lower expressors) or at the top part of the vertical green line (B) if higher expression of MCAM led to more severe outcome (dying faster than the lower expressors). The original GoodCount was defined as the number of significant log-rank tests (the default significance level was set as 0.05) across all possible cut-points for the original dataset. We employed the bootstrap approach to permutate the data for 1000 times in this case. A similar procedure each time was performed like the original dataset and a permutated GoodCount was obtained for each permutated dataset. The GoodCount p-value was derived as the proportion of the times that the GoodCounts of permutated datasets were no less than that of the original dataset (Yi et al., 2018) and shown at the left top corner of each plot, 0.011 for Inc-FANCI-2 in panel A and 0.002 for MCAM in panel B. A significant GoodCount p-value (blue dots in both panels A and B) is indicative of significant association of the expression levels with the corresponding survival outcomes of the analyzed patient samples. Not shown in the panels A and B are the coxph p-value from univariant expression-based cox regression models (coxph p-value: derived by original gene expression values; or coxph p-value by rank: derived by corresponding ranks of gene expression values) and the cut-point-specific FDR and FDR2. FDR for each cut-point was defined as the portion of cases of permutated datasets that have log-rank test p-values no higher than that of original dataset. FDR2 for each cut-point was defined as the portion of cases of permutated datasets that have log-rank test p-values no higher than default setting of significance as 0.05.

As shown in Figure 5E and Figure 8—figure supplement 1B, the increased RNA expression of MCAM (CD146 or MUC18) (Wang et al., 2020) appears to be transcriptional or posttranscriptional in both ΔPr-A9 and ΔYY1-D5 cells. We confirmed by RT-PCR the lnc-FANCI-2 KO-mediated increase of MCAM RNA expression in ΔPr-A9 cells (Figure 8C). A rescue experiment was further performed by transient expression of one major isoform of lnc-FANCI-2 RNA (a-PA2, GenBank: MT669800.1) (Liu et al., 2021) in ΔPr-A9 cells to determine both nuclear and cytoplasmic MCAM expression (Kebir et al., 2010; Stalin et al., 2016) in individual lnc-FANCI-2-expressing cells. ΔPr-A9 cells ectopically expressing diffused cytoplasmic lnc-FANCI-2 RNA, as detected by RNAscope RNA-ISH, exhibited a marked reduction in nuclear MCAM protein (Figure 8D and E). Quantitative analyses of the ΔPr-A9 cells with or without transient lnc-FANCI-2 RNA expression showed significant reduction of nuclear MCAM protein in the 35 cells with rescued lnc-FANCI-2 expression when compared to the 54 cells expressing no lnc-FANCI-2 (Figure 8F). Due to RNAscope procedures, the membrane-bound and cytoplasmic MCAM protein was mostly removed by protease III treatment when RNA-ISH was performed, and thus only the nuclear signal of MCAM protein that remained was detectable by IF staining. Using cell fractionation, we detected a cleaved MCAM of ~46 kDa mainly in the nuclear fraction by western blot (Figure 8G). The increased nuclear MCAM expression in ΔPr-A9 cells was proportional to the cytoplasmic and total MCAM levels when compared with the WT CaSki cells (Figure 8G). The nuclear MCAM signal appeared as a proteolytic cleavage product presumably by the increased metalloprotease ADAM9 and ADAM10 proteins and decreased metalloprotease inhibitor TIMP2 (Figure 4), as observed in other studies (Stalin et al., 2016).

The significance of an inverse correlation of lnc-FANCI-2 and MCAM in CaSki cells was further investigated by analyzing their expression in 304 cervical cancer samples from the TCGA dataset. There was a significant negative correlation in lnc-FANCI-2 (being wrongly assigned as LINC00925 by NCBI) (Liu et al., 2021) and MCAM RNA levels (Figure 8H). The opposite effects of lnc-FANCI-2 and MCAM on cervical cancer survival (Figure 8I and Figure 8H and Figure 8—figure supplement 2) show that the cervical cancer patients with a higher level of lnc-FANCI-2 (Liu et al., 2021) but a lower level of MCAM in the cervical tissue (Figure 8H and I and Figure 8—figure supplement 2) exhibited a better survival prognosis.

Regulatory roles of lnc-FANCI-2-mediated increase of MCAM and IGFBP3 on RAS signaling

To further dissect the lnc-FANCI-2-associated expression of MCAM and IGFBP3 on RAS signaling, we examined MCAM and IGFBP3 on phosphorylation of Akt and Erk1/Erk2 in CaSki cells in the presence or absence of lnc-FANCI-2. As shown in Figure 8J, we found, although KD or KO of lnc-FANCI-2 promotes phosphorylation of Akt and Erk (Figure 8J, lane 2), that KD of MCAM expression in the parental WT CaSki cells in the absence of lnc-FANCI-2 (Figure 8J, lane 3) or in ΔPr-A9 cells (Figure 8J, lane 5) led to reduction of Akt and Erk phosphorylation. These data suggest that MCAM is an lnc-FANCI-2 effector but also could be a trigger of signal transduction as reported (Wang et al., 2020; Joshkon et al., 2020).

IGFBP3 protein has been viewed as a RAS signaling regulator (Conover et al., 2000; Allard and Duan, 2018; Bach, 2018), but recent studies show that IGFBP3 has a variety of intracellular ligands involved in many unexpected functions (Baxter, 2013; Varma Shrivastav et al., 2020). Thus, KD or KO of lnc-FANCI-2-mediated IGFBP3 expression on RAS signaling in the parental WT CaSki cells or ΔPr-A9 cells was examined by western blot after siRNA KD of IGFBP3 expression. As shown in Figure 8K, KD of IGFBP3 expression was found to increase phosphorylation of Erk1/2 by ~70% (lane 4) to ~60% (lane 6), but not much so for Akt phosphorylation (lanes 4 and 6). Instead, KD of IGFBP3 expression could prevent lnc-FANCI-2 KD-enhanced Akt phosphorylation in the parental WT CaSki cells (Figure 8K, compare lane 2 and lane 3). These data suggest a separate role of IGFBP3 on phosphorylation of Erk1/2 from Akt in the presence or absence of lnc-FANCI-2.

MAP4K4 association with lnc-FANCI-2 RNA in CaSki cells regulates RAS signaling and phosphorylation of Akt and Erk

We speculated lnc-FANCI-2 restriction on RAS signaling through interactions with cellular proteins. Subsequently, comprehensive identification of lnc-FANCI-2-binding proteins in the parental WT CaSki cells was performed by an isolation of lnc-FANCI-2 RNA-protein complex by RNA purification (IRPCRP) protocol (modified from published ChIRP; Chu and Chang, 2018) in combination with mass spectrometry (Figure 9A). In this protocol, the lnc-FANCI-2-binding proteins in the parental WT CaSki cells were covalently cross-linked to lnc-FANCI-2 RNA via UV irradiation and pulled down by pooled 30 antisense oligos crossing over the entire lnc-FANCI-2. The RNA extracted from the pull-downs was verified to be lnc-FANCI-2 specific by RT-PCR in the absence (-) or presence (+) of reverse transcriptase (RT) (Figure 9B). The lnc-FANCI-2-binding proteins in the pull-downs were then subjected to LC-MS/MS analyses. We identified 32 specific lnc-FANCI-2-binding proteins, including H13, HNRH1, K1H1, MAP4K4, and RNPS1 (Figure 9C, Supplementary file 4).

Figure 9. lnc-FANCI-2 interacts with host factors to regulate RAS signaling pathway.

Figure 9.

(A) The lnc-FANCI-2-associated proteins in the wild-type (WT) CaSki cells were identified by isolation of RNA-protein complexes using RNA purification (IRPCRP)-mass spectrometry technology. (B) lnc-FANCI-2 RNA in the IRPCRP-1 and IRPCRP-2 pull-downs had the pooled antisense biotinylated oligos (pool 1 with oligos in even numbers and pool 2 with oligos in odd numbers) immobilized to avidin-beads first before mixed with cell lysates, while the IRPCRP-3 and IRPCRP-4 pull-downs had the oligos pool 1 and 2 separately mixed with cell lysates first before addition to the avidin-beads for the RNA pull-downs. RT-PCR in the absence (-) or presence (+) of reverse transcriptase (RT) was carried out using the RNA isolated from the individual IRPCRP experiments using a primer pair of oHBL5 and oHBL12 (Supplementary file 5) specific for lnc-FANCI-2 RNA detection. Beads-only (no oligos) IRPCRP experiments served as a negative control. Total RNA from the WT CaSki cells after sonication was used as an input control. The arrow indicates the detected lnc-FANCI-2 RNA. (C) Proteins associated with lnc-FANCI-2 RNA identified from lnc-FANCI-2 IRPCRP pull-downs. A total of 32 proteins were specifically pulled down from lnc-FANCI-2 IRPCRP reactions 1–4 (PSM ≥2 from two separate pull-downs, Supplementary file 4), with top 10 proteins binding lnc-FANCI-2 shown in the order by the number of identified peptide spectrum match (PSM) in LC-MS/MS. (D) Expression of p-Akt and p-Erk from CaSki WT cells 48 hr after siRNA KD of MAP4K4 or lnc-FANCI-2 was immunoblotted by the corresponding antibodies. GAPDH served as a sample loading control. Fold change of the indicated proteins in the cells with KD of MAP4K4 or lnc-FANCI-2 over the cells treated by a non-targeting siRNA (siNS) was calculated after normalizing to GAPDH. (E) A proposed model illustrates how lnc-FANCI-2-protein complexes inhibit the RAS signaling pathway to control Akt/Erk phosphorylation and expression of host genes. RAS signaling can be regulated by integrating external and internal factors. In high-risk human papillomavirus (HR-HPV) infected cells, viral oncoprotein E7-YY1 complex transactivates lnc-FANCI-2 expression. By interactions with cellular RBPs, the lnc-FANCI-2-protein complex inhibits RAS signaling. In the absence of lnc-FANCI-2, increased RAS signaling leads to phosphorylation of Akt and Erk and cascaded responses of transcription factors (TFs) and thus regulates the expression of RAS signaling responder genes, such as IGFBP3, MCAM, etc. Consequently, this brings fundamental biochemical and biological processes under control by fine-tuning the RAS pathway.

Figure 9—source data 1. lnc-FANCI-2 interacts with host factors to regulate RAS signaling pathway.
Figure 9—source data 2. lnc-FANCI-2 interacts with host factors to regulate RAS signaling pathway.

MAP4K4, a serine/threonine protein kinase, stimulates cancer cell proliferation, invasion, and migration and is recently characterized as a novel MAPK/ERK pathway regulator (Gao et al., 2016; Gao et al., 2017; González-Montero et al., 2023) and negatively regulates RAS signaling by binding to Ras p21 protein activator 1 or RASA1 (Patterson et al., 2023; Roth Flach et al., 2016). Although the exact MAP4K4 binding site on lnc-FANCI-2 was not explored, many enzymes turn out to be an RNA-binding enzyme (Castello et al., 2015; Hentze et al., 2018). Thus, whether MAP4K4 association with lnc-FANCI-2 could regulate PI3K/Akt or MAPK/Erk signal transduction was investigated in the parental WT CaSki cells. We demonstrated that siRNA KD of MAP4K4 expression in the parental WT CaSki cells, as seen for KD of lnc-FANCI-2, led to ~40% or more increase of phosphorylation of both Akt and Erk1/2 and increased expression of MCAM and IGFBP3 (Figure 9D, compare lane 1 to lanes 2 and 3). Interestingly, siRNA KD of MAP4K4 expression in the lnc-FANCI-2 KO ΔPr-A9 cells had no effect on expression of IGFBP3, only a minimal effect on MCAM and p-Akt, but strongly on pErk1/2 (Figure 8—figure supplement 1C). The data suggest that, through RNA-protein interactions, the increased lnc-FANCI-2 RNA in cells and their association with MAP4K4 and other cellular proteins could be one arm to control RAS signaling and gene expression of its effectors (Figure 9E).

Discussion

HPV oncoproteins E6 and E7 are necessary but not sufficient for development of cervical cancer. Indeed, early studies indicated that other oncogenic stress, such as activated RAS mutant, is needed to trigger malignant transformation of E6- and E7-expressing cells (Storey et al., 1988; Phelps et al., 1988; Crook et al., 1988; Matlashewski et al., 1987) and tumorigenesis (DiPaolo et al., 1989; Schreiber et al., 2004; Greenhalgh et al., 1994; Riou et al., 1988; Eiben et al., 2002; Golijow et al., 1999; Prokopakis et al., 2002). Moreover, E7 has also been reported to repress phosphorylation of Akt and Akt-mediated signaling (Strickland and Vande Pol, 2016). In this study, we show that lnc-FANCI-2, whose expression is highly dependent on E7 and YY1 (Liu et al., 2021), intrinsically restricts RAS GTPase activities and phosphorylation of Akt and Erk presumably by interacting with cellular factors in HPV16-positive CaSki cells. Interestingly, early reports indicated that p-Akt attenuation by E7 could be abolished by introduction of the H73E mutation in the E7 CR3 domain (Strickland and Vande Pol, 2016). This E7 CR3 domain is also essential for interacting with transcription factor YY1 to activate lnc-FANCI-2 transcription (Liu et al., 2021). Thus, it would be presumable that the reported p-Akt attenuation by E7 might be mediated by the increased expression of lnc-FANCI-2. More importantly, these findings also suggest that additional oncogenic stress, such as activated RAS mutant, is required to overcome the lnc-FANCI-2 restriction on RAS signaling for the early observed malignant transformation (Storey et al., 1988; Phelps et al., 1988; Crook et al., 1988; Matlashewski et al., 1987) and tumorigenesis (DiPaolo et al., 1989; Schreiber et al., 2004; Greenhalgh et al., 1994; Riou et al., 1988; Eiben et al., 2002; Golijow et al., 1999; Prokopakis et al., 2002) of E6- and E7-expressing cells. In CaSki cells, loss of lnc-FANCI-2 in this report was found to promote RAS signaling but reduction of IFN responses. However, high RAS-AKT-ERK signaling induces cell senescence and inhibits tumor cell survival as shown in this report and in a lung cancer study (Nieto et al., 2017).

Some lncRNAs function as RAS regulators (Yang et al., 2019; Saliani et al., 2022) by their ability to sequester RAS-targeting miRNAs, including MALAT1/miR-217, RMRP/miR-206, and KRAS1P/miR-143/let-7 (Saliani et al., 2022). Conceivably, lncRNAs may also regulate RAS signaling through other mechanisms beyond miRNAs. In this report, loss of lnc-FANCI-2 in HPV16-positive CaSki and SiHa cells promotes RAS signaling and expression of RAS signaling effectors (Figure 9E). By profiling the proteins associated with lnc-FANCI-2 in CaSki cells, we identified a serine/threonine protein kinase MAP4K4 as one of the major lnc-FANCI-2-binding proteins that may partially mediate the lnc-FANCI-2 restriction on RAS signaling. MAP4K4 is a negative RAS signaling regulator in the context of the early embryo (Gao et al., 2017; Patterson et al., 2023) and lymphatic vascular development by interacting with RASA1 (Roth Flach et al., 2016). Indeed, silencing of MAP4K4 in parental WT CaSki cells, like KD or KO of lnc-FANCI-2, led to a partial increase of both p-Akt and p-Erk1/2 (Figure 9D) as reported (Patterson et al., 2023; Roth Flach et al., 2016). Interestingly, KD of MAP4K4 in ΔPr-A9 cells led to further increased expression of p-Erk1/2 but minimal on p-Akt (Figure 8—figure supplement 1C), suggesting a negative correlation of MAP4K4 activity in interaction with lnc-FANCI-2 on Erk1/2 phosphorylation. Thus, our data suggest that MAP4K4 protein may function in coordination with lnc-FANCI-2 RNA in CaSki cells to restrict one arm of RAS signaling, but not the other.

All HR-HPVs are capable of inducing lnc-FANCI-2 expression by experimental infection of keratinocytes (Liu et al., 2021). HPV+ cervical cancer tissues express high levels of lnc-FANCI-2. As expected, all HPV16+ cervical cancer and pre-cancer cell lines examined – such as CaSki, SiHa, W12 subclone cells 20861 (HPV16+, integrated) and 20863 (HPV16+, episomal) – produce lnc-FANCI-2. Unexpectedly, we found no expression of lnc-FANCI-2 in isogenic HPV18+ HeLa and C4II cells, nor in colorectal cancer cell line HCT116, adenovirus 5 DNA-transformed human embryonic kidney cell line HEK293, spontaneously transformed aneuploid immortal keratinocyte cell line HaCaT, and KSHV-infected B cell lymphoma cell line BCBL-1 cells which are all HPV-negative cell lines. It remains to know what negatively regulates lnc-FANCI-2 expression in those cell lines, and more HPV18+ cell lines should be examined for lnc-FANCI-2 expression. However, we did find that an HPV-negative cervical cancer cell line, C33A cells expressing mutant p53 and mutant pRB (Scheffner et al., 1991), produces a high level of lnc-FANCI-2 (Figure 2). Using dual luciferase report assays, we did find lnc-FANCI-2 promoter activity in response to YY1 binding in CaSki and C33A cells, but not in HeLa and HCT116 cells, suggesting the presence of a repressive factor(s) in the latter two cell lines (data not shown). KD of E2F1 had no effect on lnc-FANCI-2 promoter activity in CaSki cells (Liu et al., 2021). In the lnc-FANCI-2-producing cells, we noticed that the cellular location of lnc-FANCI-2 also varies from cell types, with lnc-FANCI-2 predominantly in the nucleus in SiHa and C33A cells, but in the cytoplasm in CaSki cells, although both cytoplasmic and nuclear lnc-FANCI-2 restrict RAS signaling. This suggests that a variety of nuclear and cytoplasmic functions of lnc-FANCI-2 remains to be explored.

IGFBP3 is a major IGF carrier and enhances both IGF- and EGF-RAS signaling (Allard and Duan, 2018; Martin et al., 2003) to activate phosphatidylinositol 3-kinase (PI3K)/AKT and the MAPK/ERK pathways (Józefiak et al., 2021). Surprisingly, we find a suppressive role of IGFBP3 on Erk phosphorylation, but not much on Akt, in the presence or absence of lnc-FANCI-2 in HPV16-positive CaSki cells. Although ~99% of circulating IGF-1 is bound to IGFBPs, predominantly to IGFBP-3, the most abundant IGFBP in human serum, case-control studies showed significantly lower IGF-1 and IGFBP-3 serum levels in the patients with ICC over the control group (Jozefiak et al., 2008; Serrano et al., 2006). A reduced expression of IGFBP-3 mRNA level appears to be associated with progression to cervical cancer (Serrano et al., 2007). Consistent with lnc-FANCI-2’s suppressive effect on IGFBP3 expression in our study, an increased level of lnc-FANCI-2 expression is associated step-wisely with HR-HPV-positive CIN and ICC tissues (Liu et al., 2021).

It is obvious from our RNA-seq and human soluble receptor array analysis that KO of lnc-FANCI-2 in CaSki cells affects the expression of a large set of genes, including the expression of increased NECTIN2, ADAM9, ADAM10, ITGA5, MCAM, PODXL2, ECM1, but decreased ADAM8, TIM2, and ITGB6, which are responsible for RAS signaling, EMT pathway, and IFN responses. For example, the dysregulation of RAS signaling and ADAM protein activity is implicated in various cancers. ADAM proteins can modulate RAS signaling by cleaving and releasing ligands that activate or inactivate RAS-related pathways (Schäfer et al., 2004; Ohtsu et al., 2006; Dang et al., 2011; Kleino et al., 2015). Some ADAM proteins are involved in the migration and invasion of cancer cells, and their loss can promote the degradation of KRAS (Huang et al., 2024). ADAMs are essential for extracellular signaling and regulation of cell adhesion, and their catalytic activity is strongly correlated to Src-homology 3 (SH3) domain binding of SH3 proteins (Dang et al., 2011; Kleino et al., 2015; Sun et al., 2010). In addition to the notified activation of PI3K/Akt and Raf/Mek/Erk pathways, one of the major RAS signaling effectors in lnc-FANCI-2 KO or KD cells was found to be MCAM.

MCAM binds various cellular surface receptors or co-receptors to trigger signal transduction, cell proliferation and motility, tumor angiogenesis, and tumor cell metastasis (Wang et al., 2020; Joshkon et al., 2020). It is an integral, highly glycosylated membrane protein with three common protein isoforms (Wang et al., 2020; Anfosso et al., 1998; Dye et al., 2009): two membrane-anchored forms with a long (p113) or short (p76) cytoplasmic tail produced by alternative RNA splicing and a proteolytically cleaved soluble form without transmembrane and cytoplasmic regions (Wang et al., 2020; Dye et al., 2009; Bardin et al., 1998). In addition to its roles in cell signal transduction (Wang et al., 2020; Joshkon et al., 2020; Anfosso et al., 1998; Dye et al., 2009), the short isoform produced by an intramembrane cleavage may be directed toward the nucleus to regulate gene transcription (Stalin et al., 2016). We found that CaSki cells express mainly a cytoplasmic form of full-length MCAM (~113 kDa) and a small nuclear form (~46 kDa), but not the short (~76 kDa) isoform. Moreover, lnc-FANCI-2 KO cells exhibit high MCAM levels, which was most likely a result of the increased RAS signaling. Consistently, lnc-FANCI-2 and MCAM levels are negatively correlated in cervical cancer patients, and low levels of MCAM and high levels of lnc-FANCI-2 indicate better prognosis. This suggests that increased MCAM might promote cervical tumorigenesis in vivo. Given that the cells with Inc-FANCI-2 KO exhibit increased levels of IGFBP3 and MCAM, and the ΔPr-A9 cells with rescued lnc-FANCI-2 RNA expression displayed remarkable reduction of IGFBP3 and MCAM expression, our current model (Figure 9E) highlights how the HPV16-enhanced expression of lnc-FANCI-2 in cervical cancer cells might function as a negative regulator by binding to various RNA-binding proteins to block RAS signaling and reduce the expression of RAS signaling effectors such as IGFBP3 and MCAM.

In conclusion, this study provides the first evidence that one of lnc-FANCI-2 functions is to maintain epithelial functional integrity by repressing RAS signaling in preventing malignant transformation of neoplastic cervical lesions. In addition, more extensive studies are underway to elucidate the role of lnc-FANCI-2 in regulation of IFN responses, which are not covered in this report. Since transactivation of lnc-FANCI-2 expression is largely dependent on host transcription factor YY1, of which expression is regulated by HPV oncoproteins and host miR-29a, dissecting their transcription network on lnc-FANCI-2 and its effectors may further provide novel insights involved in host homeostasis against HPV infection-induced carcinogenesis. Our observations also highlight additional, unexpected players beyond viral E6 and E7 that drive cells toward malignant transformation.

Materials and methods

Key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional information
Cell line (Homo sapiens) CaSki (HPV16+) ATCC CRL-1550 Cervical cancer cell line
Cell line (Homo sapiens) C4II (HPV18+) ATCC CRL-1595 Cervical cancer cell line
Cell line (Homo sapiens) SiHa (HPV16+) ATCC HTB-35 Cervical cancer cell line
Cell line (Homo sapiens) HeLa (HPV18+) ATCC CCL-2 Cervical cancer cell line
Cell line (Homo sapiens) C33A (HPV-) ATCC HTB-31 Cervical cancer cell line
Cell line (Homo sapiens) HEK293 ATCC CRL-1573 Kidney epithelial-like cell
Cell line (Homo sapiens) HCT116 Dr. Bert Vogelstein (Johns Hopkins University) N/A Colorectal cancer cell line
Cell line (Homo sapiens) W12 subclones (20861, 20863) Dr. Paul Lambert (University of Wisconsin) N/A HPV16+ (integrated/episomal)
Cell line (Homo sapiens) BCBL-1 (KSHV+) NIH AIDS Reagent Program N/A Body cavity B lymphoma
Cell line (Homo sapiens) HaCaT Dr. Carl C Baker (NIH) N/A Skin keratinocyte
Antibody Anti-MCAM (Rabbit polyclonal) ProteinTech Cat# 17564-1-AP Rabbit polyclonal; WB (1:1000), IF (1:200)
Antibody Anti-E2F1 (Rabbit polyclonal) ProteinTech Cat# 12171-1-AP Rabbit polyclonal; WB (1:1000)
Antibody Anti-MAP4K4 (Rabbit polyclonal) ProteinTech Cat# 55247-1-AP Rabbit polyclonal; WB (1:1000)
Antibody Anti-p53 (Rabbit polyclonal) ProteinTech Cat# 10442-1-AP Rabbit polyclonal; WB (1:1000)
Antibody Anti-α-Tubulin (Mouse monoclonal) Sigma-Aldrich Cat# T5201 Mouse monoclonal; WB (1:5000)
Antibody Anti-hnRNP C1/C2 (Mouse monoclonal) Abcam Cat# Ab10294 Mouse monoclonal; WB (1:1000)
Antibody Anti-RAC3 (Rabbit monoclonal) Abcam Cat# ab129062 Rabbit monoclonal; WB (1:1000)
Antibody Anti-CCND2 (Cyclin D2) (Rabbit monoclonal) Cell Signaling Technology Cat# 3741 Rabbit monoclonal; WB (1:1000)
Antibody Anti-Akt (Rabbit polyclonal) Cell Signaling Technology Cat# 9272 Rabbit monoclonal; WB (1:1000)
Antibody Anti-phospho-Akt (Ser473) (Rabbit polyclonal) Cell Signaling Technology Cat# 9271 Rabbit monoclonal; WB (1:1000)
Antibody Anti-Erk1/2 (p44/42 MAPK) (Rabbit monoclonal) Cell Signaling Technology Cat# 4695 Rabbit monoclonal; WB (1:1000)
Antibody Anti-phospho-Erk1/2 (Thr202/Tyr204) (Rabbit monoclonal) Cell Signaling Technology Cat# 4370 Rabbit monoclonal; WB (1:1000)
Antibody Anti-IGFBP3 (D1U9C) (Rabbit monoclonal) Cell Signaling Technology Cat# 25864 Rabbit monoclonal; WB (1:1000)
Antibody Anti-Vimentin (VIM) (Mouse monoclonal) Thermo Fisher Scientific Cat# MA5-11883 Mouse monoclonal; WB (1:1000), IF (1:200)
Antibody Anti-PODXL2 (Goat polyclonal) R&D Systems Cat# AF1524 Goat polyclonal; WB (1:500)
Antibody Anti-ECM1 (Mouse monoclonal) R&D Systems Cat# MAB39371 Mouse monoclonal; WB (1:500)
Antibody Anti-TIMP2 (Goat polyclonal) R&D Systems Cat# AF971 Goat polyclonal; WB (1:500)
Antibody Anti-ADAM8 (Goat polyclonal) R&D Systems Cat# AF1031 Goat polyclonal; WB (1:500)
Antibody Anti-SRSF3 (Rabbit monoclonal) Novus Biologicals Cat# NBP2-76892 Rabbit monoclonal; WB (1:1000)
Antibody Anti-HPV16 E7 (Rabbit polyclonal) GeneTex Cat# GTX133411 Rabbit polyclonal; IF (1:500)
Sequence-based reagent lnc-FANCI-2 siRNA Custom (see Supplementary file 5) N/A Double-stranded, target-specific siRNA
Sequence-based reagent MAP4K4 siRNA Dharmacon, Inc #M-003971 Human MAP4K4 targeting siRNA
Sequence-based reagent IGFBP3 siRNA Dharmacon, Inc #M-004777 Human IGFBP3 targeting siRNA
Sequence-based reagent Non-targeting control siRNA Dharmacon, Inc #D-001210-01 Negative control siRNA
Chemical compound, drug LY294002 (PI3K inhibitor) Cell Signaling Technology #9901 20 µM treatment
Chemical compound, drug U0126 (MEK inhibitor) Cell Signaling Technology #9903 10 µM treatment
Commercial assay, kit RAS GTPase Chemi ELISA Kit Active Motif #52097 RAS activity measurement
Sequence-based reagent lnc-FANCI-2 siRNA Dharmacon Custom (Supplementary file 5) Target: lnc-FANCI-2
Sequence-based reagent lnc-FANCI-2 gRNAs Zhang Lab CRISPR Designer Custom (Supplementary file 5) CRISPR knockout
Software, algorithm CCBR Pipeliner GitHub CCBR/Pipeliner RNA-seq analysis
Software, algorithm ZEN 2.3 Zeiss N/A Confocal microscopy
Commercial assay, kit Nuclei EZ Prep Kit Sigma-Aldrich #NUC-101 Nuclear/cytoplasmic fractionation
Commercial assay, kit Superscript First-Strand Synthesis kit Thermo Fisher Scientific #11904018 cDNA synthesis
Commercial assay, kit TaqMan gene expression Master Mix Applied Biosystems #4369016 qPCR amplification
Commercial assay, kit TaqMan Gene Expression Assay (GAPDH) Applied Biosystems Hs02758991_g1 Internal control for qPCR
Commercial assay, kit RNAscope Multiplex Fluorescent V2 Assay Advanced Cell Diagnostics #323100 RNA in situ hybridization
Sequence-based reagent lnc-FANCI-2 custom probe Advanced Cell Diagnostics Custom (nt 359–1713 of MT669800.1) Targets lnc-FANCI-2a-PA2 transcript
Sequence-based reagent IGFBP3 probe Advanced Cell Diagnostics #310351 Channel 1 probe
Sequence-based reagent lnc-FANCI-2 probe Advanced Cell Diagnostics #509061-C3 Channel 3 probe

Cell cultures and treatment

CaSki, a HPV16-positive (HPV16+) human cervical cancer cell line with WT p53, pRb, HRAS, KRAS, and NRAS (https://depmap.org/portal/cell_line/ACH-001336?tab=mutation), was obtained from the American Type Culture Collection (ATCC, Manassas, VA, USA), maintained in Dulbecco’s modified Eagle medium (DMEM) (Thermo Fisher Scientific) supplemented with 10% fetal bovine serum (FBS) and 1% penicillin-streptomycin, and grown in a cell culture incubator at 37°C with 5% CO2.

SiHa (HPV16+), HeLa (HPV18+), C4II (HPV18+), C33A (no HPV), and HEK293 (Ad5 E1/E2-immortalized human kidney cells) were all obtained from ATCC and grown in DMEM with 10% FBS at 37°C and 5% CO2. HaCaT (spontaneously immortalized human epidermal cells) was a gift from Dr. Carl C Baker in NIH cultured in DMEM with 10% FBS at 37°C and 5% CO2. HCT116 cell line, a colorectal cancer cell line, was a gift from Dr. Bert Vogelstein of Johns Hopkins University and was grown in McCoy’s 5A medium with 10% FBS at 37°C and in 5% CO2. W12 subclones 20861 (HPV16+, integrated) and 20863 (HPV16+, episomal) were a gift from Dr. Paul Lambert of University of Wisconsin, Madison, and grown on mitomycin C-pretreated NIH3T3 feeder cells in F12 medium at 37°C and in 5% CO2. BCBL-1 (body cavity B lymphoma cells with KSHV infection) was obtained from the AIDS Research and Reference Reagent Program, Division of AIDS, NIAID, NIH and cultured in RPMI 1640 containing 10% FBS at 37°C and in 5% CO2. All cell lines used in this study were authenticated by STR profiling and confirmed to be free of mycoplasma contamination.

CaSki cells were treated with 20 µM PI3K inhibitor, LY294002 (Cell Signaling Technology, Danvers, MA, USA #9901) or 10 µM mitogen-activated protein kinase kinase (MEK) inhibitor, U0126 (Cell Signaling Technology, Danvers, MA, USA #9903) and examined for their proliferation and viability by CCK-8 assay and RAS effector expression by western blot.

Raft tissues and cervical tissue sections

Raft tissues with or without HPV16 or HPV18 infection and cervical cancer tissue sections from Zhejiang University Women’s Hospital were described in our previous reports (Liu et al., 2021; Xu et al., 2019).

siRNAs, plasmid constructions, and transfections

Synthetic double-stranded siRNA targeting the lnc-FANCI-2 transcript is listed in Supplementary file 5. Human MAP4K4 siRNA (#M-003971), human IGFBP3 siRNA (#M-004777), and non-targeting control siRNA (#D-001210-01) were purchased from Dharmacon, Inc (Lafayette, CO, USA). Each siRNA transfection into CaSki or other type of cells was carried out by LipoJet in vitro transfection reagent (SignaGen, Frederick, MD, USA). Plasmid pHBL03 has a short isoform of lnc-FANCI-2 cDNA (lnc-FANCI-2a-PA1, GenBank Acc. No. MT669801). Overlapping PCR products generated from 5’ and 3’ RACE PCR products with a primer pair of oHBL 17 and oHBL 18 were digested and inserted into pcDNA3 at Hind III and Xba I sites. The insertion was verified by sequencing. Plasmid pHBL05 has a long isoform of lnc-FANCI-2 (lnc-FANCI-2a-PA2, GenBank Acc. No. MT669800). PCR products generated from genomic DNA with oHBL 19 and oHBL 23 were digested and swapped into pHBL03 to replace lnc-FANCI-2a-PA1 at Bsmb I and Xba I sites.

CRISPR/Cas9 system was used to knock out the lnc-FANCI-2 gene from CaSki cells. Two lnc-FANCI-2 specific gRNAs were designed by an online CRISPR design tool developed by the Zhang lab (https://www.zlab.bio/guide-design-resources). A modified cloning strategy was used to clone the two gRNA into pSpCas9(BB)-2A-Puro vector (Addgene, Watertown, MA, USA #62988) and described in our previous publication (BeltCappellino et al., 2019). This strategy allows all three components (two gRNAs and Cas9) to be expressed from the same plasmid to ensure that the transfected cells express two gRNAs simultaneously to knock out the targeted gene (BeltCappellino et al., 2019). The sequences of primers to make gRNAs were listed in Supplementary file 5.

Knockout of lnc-FANCI-2 gene in CaSki cells, PCR screening, and genotyping

Two gRNAs each under control by a U6 promoter in a pSpCas9(BB)-2A-Puro vector were used to create deletion in CaSki cells. Plasmid pHBL25, which contains gRNA 1 and 6, was used to delete the entire promoter region of lnc-FANCI-2, and plasmid pHBL27, which contains gRNA 3 and 4, was used to delete only two YY1-binding motifs spanning over an 87 bp region in the lnc-FANCI-2 promoter. CaSki cells transfected with the gRNA-expressing vectors were then under 2 weeks of puromycin selection (0.1 µg/ml). The puromycin-resistant CaSki cells were diluted to a final concentration of 0.5 cells per 100 μl, plated 100 μl of diluted cells into each well of a 96-well plate, and grew under continuous puromycin selection. The colonies were inspected to ensure the clones were grown from one cell and refed or re-plated as needed in 3 weeks of expansion.

A direct PCR was performed for a number of single-cell clones as described (BeltCappellino et al., 2019). Briefly, several hundred cells expanded from a single-cell clone were resuspended in 50 μl of phosphate-buffered saline (PBS) and then frozen-thawed on dry ice three times. Cell lysates were treated with 4 μl of QIAGEN protease (QIAGEN, Hilden, Germany, #1017782) at 56°C for 10 min, and the protease was inactivated at 95°C for 5 min. The resulting product was directly used for PCR screening. P1 + P5 were used for verification of promoter deletion and P3 + P4 for YY1 motifs deletion. To ensure the selected single-cell clones displaying homozygous knockout of lnc-FANCI-2, total cell DNA was isolated using a QIAamp DNA Blood Minikit (QIAGEN, Hilden, Germany, #51106) and then the homozygous deletion was screened and the cells with homozygous KO were selected and confirmed by PCR. The primers used for genotyping are listed in Supplementary file 5. At least two single-cell clones either with lnc-FANCI-2 promoter deletion or with YY1 motif deletion were selected. Three single-cell clones from the cells transfected with an empty vector, pSpCas9(BB)-2A-Puro, were also selected and served as controls for the genotyping screening.

Cell proliferation and viability assay

Cell proliferation and viability were determined by a CCK-8 assay (Dojindo Molecular Technologies, Rockville, MD, USA). For the proliferation assay, 500 µl of cell suspension (50,000 cells/well) were dispensed into individual wells in a 24-well plate. Cells were then treated with inhibitors (20 μM LY294002 or 10 μM U0126, respectively) after 24 hr culture. At each time point of 24 hr, 48 hr, and 72 hr, 50 µl of CCK-8 solution was added in three wells of each group and incubated for 1 hr in a cell culture incubator at 37°C. Cell proliferation was determined by absorbance at 450 nm, and normal medium was used to subtract background. Percentage of cell viability was calculated by the following formula: cell viability %=OD450 of inhibitors treated sample/OD450 of untreated sample × 100%.

Colony formation, cell migration assay, and senescence analysis

CaSki cells were seeded at 1×104, 5×103, or 1×103 cells/well in six-well plates. After 24 hr of cell growth, the culture medium in each well was replaced by DMEM containing 1% methylcellulose and 10% FBS. The plates were fixed with 3.7% formaldehyde and stained with 1% crystal violet in 2 weeks. Transwell cell migration assay was performed as previously described (Justus et al., 2014). Briefly, CaSki cells were resuspended in serum-free DMEM containing 0.1% bovine serum albumin (BSA). 1×105 cells in 100 µl were then plated on top of the filter membrane in a transwell insert (SARSTEDT, Nümbrecht, Germany, # 83.3932.800) and incubated for 10 min at 37°C to allow the cells to settle down, then 600 μl of complete media containing 10% FBS were added into the bottom of the lower chamber in a 24-well plate. After 24 hr in culture, the cells on the top of the insert membrane were removed, and cells on the bottom were fixed, stained by 0.2% crystal violet, and then counted.

Cell senescence was determined by Cellular Senescence Assay (Millipore Sigma, Burlington, MA, USA, # QIA117-1KIT). Briefly, CaSki cells were plated at 2×105 cells/well in six-well plates and cultured for 2 days to 50% confluence. Cells were washed once with 2 ml PBS and fixed with 0.5 ml of fixative solution at room temperature for 10–15 min. Then, cells were washed twice with 2 ml PBS, and 1 ml staining solution was added to each well. Cells were incubated at 37°C overnight without CO2 and protected from the light. Blue stained cells were then counted under light microscopy.

Nuclear and cytoplasmic fractionation

CaSki and SiHa cells were fractionated by using Nuclei EZ Prep Kit (Sigma-Aldrich, #NUC-101) following the manufacturer’s protocol. The details of the method could be found in our previous publication (Yu and Zheng, 2022). Western blot analysis for nuclear protein SRSF3 and cytoplasmic protein GAPDH was used to determine fractionation efficiency. The fractionated cytoplasmic and nuclear RNAs were used for the detection of lnc-FANCI-2 RNA with human GAPDH RNA serving as a control for RNA fractionation efficiency of the cytoplasmic RNAs.

RT-qPCR

Detection of lnc-FANCI-2 by RT-qPCR was performed as described (Liu et al., 2021). Pre-designed primers for lnc-FANCI-2 are listed in Supplementary file 5. Briefly, 2 µg total RNA was converted to cDNA using Superscript First-Strand Synthesis kit (Thermo Fisher Scientific, Waltham, MA, USA #11904018). qPCR was performed using TaqMan gene expression Master Mix (Applied Biosystems, Waltham, MA, USA #4369016) on a StepOne Plus Real-Time PCR system (Applied Biosystems). TaqMan Gene Expression Assay (Applied Biosystems, #4331182) for GAPDH (Hs02758991_g1) was served as an internal control. Data were plotted as fold change over the control group using the 2-∆∆Ct method by which the data was normalized first to the values for GAPDH and then to the median value for control samples. Data are presented as a bar graph with mean ± SD for each group.

Northern blot

To validate lnc-FANCI-2 KO in CaSki cells, northern blot was performed using polyA+ mRNA isolated from 100 µg of total CaSki RNA with PolyATtract mRNA Isolation Systems (Promega, #Z5310) or 10 µg of total CaSki total RNA as described previously (Liu et al., 2021). Briefly, RNA samples were denatured in NorthernMax Formaldehyde loading dye (Thermo Fisher Scientific, #AM8552) at 75°C for 15 min, then separated in a 1% formaldehyde-containing agarose gel and transferred onto a GeneScreen Plus hybridization transfer membrane (Perkin Elmer, Waltham, MA, USA #NEF987001PK). RNAs on the membrane were cross-linked by exposing to UV light and then prehybridized with PerfectHyb Plus hybridization buffer (Sigma-Aldrich, St. Louis, MO, USA #H7003) for 2 hr at 42°C. Specific oligos against lnc-FANCI-2 or GAPDH listed in Supplementary file 5 were labeled with [γ-32P]-ATP using T4 PNK (Thermo Fisher Scientific, Waltham, MA, USA #18004-010) and added into hybridization buffer for overnight incubation at 42°C. The membrane was then washed with 2× SSPE/0.5% sodium dodecyl sulfate (SDS) solution for 5 min, followed by two washes with 0.5× SSPE/0.5% SDS each for 15 min at 42°C and then exposed to a PhosphorImager screen.

RNA-seq and data analysis

Total RNA was extracted from WT CaSki, ΔYY1-D5, and ΔPr-A9 cells using TRIzol reagent (Thermo Fisher Scientific, Waltham, MA, USA #15596018). Total ribo-minus RNA-seq libraries, four samples in each group, were prepared with TruSeq Stranded Total RNA Library Kit and then subjected to paired-end sequencing using Illumina-HiSeq3000/4000 platform.

The obtained reads were processed using the CCBR Pipeliner utility (CCBR, 2023). Briefly, reads were trimmed from adapters and low-quality bases using Cutadapt (version 1.18) (https://bioweb.pasteur.fr/packages/pack@cutadapt@1.18) before alignment to the custom reference genome described below. The transcripts were aligned using STAR v2.5.2b in two-pass mode (Dobin et al., 2013). Expression levels were quantified using RSEM (RNA-Seq by Expectation-Maximization) (version 1.3.0) (Li and Dewey, 2011) with a custom gene annotation described below.

The custom reference genome allowing quantification of both HPV16 and host expression used in this alignment consisted of the human reference genome (hg38/Dec. 2013/GRCh38) with an HPV16 FASTA (https://pave.niaid.nih.gov/) sequence added as an additional pseudochromosome. The custom gene annotation used for gene expression quantification consisted of a concatenation of the hg38 GENCODE annotation version 30 (Harrow et al., 2012) and the HPV16 genome, with one other notable alteration. The hg38 v30 gene annotation is incorrect at the location of the lnc-FANCI-2 locus in the hg38 genome at chr15:89378104–89398487, which affects quantification of this gene. To correct this annotation and provide accurate quantification, therefore, we first performed BLAST against hg38 using the sequences of the 14 known isoform transcripts of lnc-FANCI-2 (MT669800 for lnc-FANCI-2a-PA2, MT669801 for lnc-FANCI-2a-PA1, MT669802 for lnc-FANCI-2b-PA2, MT669803 for lnc-FANCI-2b-PA1, MT669804 for lnc-FANCI-2c-PA2, MT669805 for lnc-FANCI-2c-PA1, MT669806 for lnc-FANCI-2d-PA2, MT669807 for lnc-FANCI-2d-PA1, MT669808 for lnc-FANCI-2e-PA2, MT669809 for lnc-FANCI-2e-PA1, MT669810 for lnc-FANCI-2f-PA2, MT669811 for lnc-FANCI-2f-PA1, MT669812 for lnc-FANCI-2g-PA2, and MT669813 for lnc-FANCI-2g-PA1). The results were used to determine the precise exon start and stop sites for each of the isoforms. These were then used to manually adjust the default hg38 v30 gene annotations at the locus indicated above to account for the correct structure of the lnc-FANCI-2 locus and its 14 isoforms.

Downstream analysis and visualization were performed within the NIH Integrated Analysis Portal (NIDAP) using R programs developed on the Foundry platform (Palantir Technologies). Briefly, raw counts data produced by RSEM were imported into the NIDAP platform, genes were filtered for low counts (<1 cpm), and the voom algorithm (Law et al., 2014) from the Limma R package (version 3.40.6) (Smyth, 2004) was used for quantile normalization and calculation of DEGs. Pre-ranked GSEA was performed using the Molecular Signatures Database version 6.2 (Liberzon et al., 2011; Subramanian et al., 2005) and the fgsea package (Korotkevich et al., 2021). Raw data and the analyzed RNA-seq data supporting the findings in this study have been deposited in the NCBI GEO database (the accession#: GSE190904).

Human soluble receptor array

To detect the changes of soluble receptors expressed and released from parental WT CaSki cells and lnc-FANCI-2 KO cells, Proteome Profiler Human sReceptor (Soluble Receptor) Array (R&D Systems, Minneapolis, MN, USA # ARY012) was performed according to the manufacturer’s protocol. Briefly, 7 × 106 WT CaSki cells and ΔPr-A9 cells were cultured in 15 ml of DMEM supplemented with 10% FBS in a T75 flask for 24 hr. Cell culture supernatants were then collected and centrifuged at 4000 × g for 15 min to remove cell debris. Cells were rinsed by 10 ml of PBS and solubilized in lysis buffer 17 at 4°C for 30 min. The cell lysis was then centrifuged at 14,000 × g for 5 min to remove cell debris. Protein concentration of cell lysis was measured by Micro BCA Protein Assay (PIERCE, Waltham, MA, USA #23235). Next, two sets of N and C membranes were blocked by Buffer 8/1 in 4-Well Multi-dish for 1 hr on a rocking platform. 500 μl of culture supernatant or 100 μg cell lysate generated from the WT CaSki cells or ΔPr-A9 cells were diluted in 3 ml of Buffer 8/1 and then applied to each membrane after three washes with 1× wash buffer. The membranes were incubated overnight at 4°C on a rocking platform and washed three times to remove unbound materials, followed by incubation with their specific cocktail of biotinylated detection antibodies for 2 hr at room temperature on a rocking platform. 2 ml of diluted Streptavidin-HRP was then applied to each membrane for 30 min at room temperature on a rocking platform after three times of wash. 1 ml of the prepared Chemi Reagent Mix was added onto the membranes after three washings. The signal was then captured by the ChemiDoc Touch Imaging System (Bio-Rad). Quantification of the relative protein expression in ΔPr-A9 cells compared to the WT cells was determined in Image Lab software (Bio-Rad). The average signal of duplicate spots subtracting background value from negative control spots represented the levels of each protein. The relative change in protein levels was then determined by comparing ΔPr-A9 cells to the WT cells.

RAS GTPase Chemi ELISA

RAS GTPase activity in cell lysate of the WT CaSki or ΔPr-A9 cells was determined by RAS GTPase Chemi ELISA Kit (Active Motif, Carlsbad, CA, USA # 52097) according to the manufacturer’s protocol. Briefly, 2 × 107 cells were solubilized in 500 µl of Complete Lysis/Binding buffer at 4°C for 15 min. Protein concentration of cell extract was then measured by Micro BCA Protein Assay (PIERCE, #23235) after cell debris was removed by centrifugation at 14,000 × g for 10 min. 2 µg of GST-Raf-RBD in 50 µl of Complete Lysis/Binding buffer was coated in each well of a 96-well plate by incubating for 1 hr at 4°C with 100 rpm agitation. After three washings, 50 µg of extract in 50 µl Complete Lysis/Binding buffer was then added to each well. HeLa (EGF-treated) extract was served as a positive control. The plate was incubated for 1 hr at room temperature with 100 rpm agitation. The active RAS protein (GST-Raf-RBD binding) in each well was then detected by incubating with primary RAS antibody and three times of wash, and then, HRP-conjugated secondary antibody and three times of wash. Chemiluminescence in each well was read in a luminometer by adding 50 µl room temperature chemiluminescent working solution.

RNA-ISH and IF staining

Endogenous lnc-FANCI-2 in cervical cancer tissues and their derived cell lines was examined by RNAscope Multiplex Fluorescent V2 Assay (Advanced Cell Diagnostics, Minneapolis, MN, USA #323100) as described previously (Liu et al., 2021). A custom-designed probe targeting nt 359–1713 of GenBank Acc. No. MT669800.1 transcript for lnc-FANCI-2a-PA2 was utilized. Dual staining of lnc-FANCI-2 and IGFBP RNA was performed according to RNAscope Multiplex Fluorescent v2 Manual part 2 (#323100), and the channel one probe for IGFBP3 (#310351) and channel three probe for lnc-FANCI-2 (#509061-C3) were applied.

For RNA-ISH combined IF staining of MCAM protein, 3 × 105 of CaSki cells were grown on a glass coverslip in a six-well plate for 24 hr before transfection. Plasmid pHBL05 containing a long isoform of lnc-FANCI-2a-PA2 (GenBank Acc. No. MT669800.1) was transfected into cells with LipoD 293 DNA in vitro transfection reagent. Cultured Adherent Cell Sample Preparation for the RNAscope Multiplex Fluorescent v2 was performed according to the manufacturer’s protocol (Advanced Cell Diagnostics, Minneapolis, MN, USA MK-50-010). Briefly, the cells were washed with PBS and fixed by 10% neutral buffered formalin at room temperature for 30 min. The cells were washed with PBS three times and dehydrated by 50% ethanol for 5 min, 70% ethanol for 5 min, 100% ethanol for 5 min, and 100% ethanol for 10 min. The cells were then rehydrated by 70% ethanol for 2 min, 50% ethanol for 2 min, and PBS for 10 min. The cells were then applied to hydrogen peroxide at RT for 10 min and washed with distilled water three times. The cells were then applied to Protease III (1:15 dilution with PBS) at RT for 10 min. The cells were ready for RNAscope Multiplex Fluorescent v2 Manual part 2 (#323100). IF was performed after RNA-ISH but before counterstaining with DAPI. The cells were washed with PBS and were then blocked with 2% BSA in PBS for 1 hr at 37°C or overnight at 4°C. The cells were incubated with the MCAM primary antibody (ProteinTech, Rosemont, IL, USA #17564-1-AP, diluted 1:200 in 2% BSA blocking buffer) for 2 hr at 37°C. An Alexa Fluor-conjugated secondary antibody (1: 500, Thermo Fisher Scientific) was diluted in a blocking solution and incubated for 1 hr at 37°C. The slides were washed with PBS three times. DAPI was used for nuclei counterstaining before mounting in a Prolong Gold Antifade mounting medium (Thermo Fisher Scientific, #P36934).

Confocal images were collected using a Zeiss LSM710 laser-scanning microscope equipped with a 63 × Plan-Apochromat (NA 1.4) objective lens. Three-dimensional distributions of lnc-FANCI-2 were generated by Z stacks using ZEN 2.3 software (Zeiss).

IRPCRP and LC-MS/MS analysis

To identify the lnc-FANCI-2 RNA-associated proteins, we pulled down lnc-FANCI-2 RNA from WT CaSki cells using IRPCRP, a modified ChIRP protocol from the published method (Chu et al., 2012), followed by mass spectrometry (Chu and Chang, 2018). Briefly, a total of 30 lnc-FANCI-2 anti-sense oligo probes (oLLY496-oLLY525), each with biotinTEG at 3’ end, across entire lnc-FANCI-2 RNA (GenBank Acc. No MT669800.1) was designed using the online probe designer (singlemoleculefish.com). Two probe pools were used in IRPCRP assays: the probe pool 1 was the mixed oligos in even numbers (oLLY496/498/500/502/504/506/508/510/512/514/516/518/520/522/524) and the probe pool 2 mixed with the oligos in odd numbers (oLLY497/499/501/503/505/507/509/511/513/515/517/519/521/523/525) (Supplementary file 5). CaSki cells were seeded and harvested at 24 hr, and the cell lysates from 200 million cells were used for each IRPCRP reaction. Instead of formaldehyde cross-link in the standard protocol (Chu et al., 2012), UV cross-linking (254 nm, energy at 480 mJ/cm2) was applied in our study to minimize non-specific binding. After UV cross-linking, the cells were lysed on ice in 1 × radioimmunoprecipitation assay buffer (Boston Bioproducts, Ashland, MA, USA #BP-115) (50  mM Tris base/Tris-HCl [pH 7.4], 150  mM NaCl, 0.5% sodium deoxycholate, 0.1% SDS, 1% NP-40) supplemented with protease inhibitors (complete mini-EDTA-free protease inhibitor cocktail, Millipore Sigma, Burlington, MA, USA #469315900) and RNase inhibitor (Thermo Fisher Scientific, #AM2694) for 30 min, followed by a brief sonication. The obtained cell lysates were spun for 10 min of centrifugation at 20,000 × g at 4°C, and the collected cell lysate supernatants were pre-absorbed with C-1 magnetic beads (Thermo Fisher Scientific, #65002) for 1 hr at room temperature before proceeding to oligo probe hybridization.

Two different hybridization protocols were used to pull down lnc-FANCI-2 RNA. One had the pre-absorbed cell lysate incubated with two separate probe pools in hybridization buffer (750 mM NaCl, 0.1% SDS, 50 mM Tris-Cl pH 7.0, 1 mM EDTA, 15% formamide) at room temperature overnight, and the pre-washed C-1 magnetic beads were then added and incubated for an additional 4 hr; the other had two separate oligo probe pools immobilized onto pre-washed C-1 magnetic beads first at room temperature for 1 hr and then mixed with the pre-absorbed cell lysates in hybridization buffer overnight at room temperature, along with the negative control-beads only IRPCRP reaction without oligo probes serving as a control in the modified protocol. After hybridization, the beads were washed with 1 × wash buffer (2 × NaCl and sodium citrate, 0.1% SDS) for five times and resuspended in 1 ml lysis buffer. 100 µl beads from each IRPCRP were set aside for RNA isolation of lnc-FANCI-2 pull-down efficiency, and the leftover beads were sent for mass spectrometry analysis. The input and IRPCRP RNA were isolated using a MIRNeasy mini kit (QIAGEN, #217004) following the standard protocol after proteinase K (Millipore Sigma, #71049) digestion.

For mass spectrometry analysis, the IRPCRP beads were processed for trypsin/LysC digestion before being submitted to Thermo Scientific Orbitrap Exploris 240 Mass Spectrometer and a Thermo Dionex UltiMate 3000 RSLCnano System for Proteinomics. Peptides from trypsin digestion were loaded onto a peptide trap cartridge at a flow rate of 5 µl/min. The trapped peptides were eluted onto a reversed-phase Easy-Spray Column PepMap RSLC, C18, 2 µM, 100 A, 75 µm × 250 mm (Thermo Scientific) using a linear gradient of acetonitrile (3–36%) in 0.1% formic acid. The elution duration was 110 min at a flow rate of 0.3 µl/min. Eluted peptides from the Easy-Spray column were ionized and sprayed into the mass spectrometer, using a Nano Easy-Spray Ion Source (Thermo Fisher Scientific) under the following settings: spray voltage, 1.6 kV, Capillary temperature, 275°C. Other settings were empirically determined. Raw data files were searched against human protein sequences database using the Proteome Discoverer 2.4 software (Thermo Fisher Scientific, San Jose, CA, USA) based on the SEQUEST algorithm. All the protein peptides identified in the IRPCRP pull-downs were summarized in Supplementary file 4.

Acknowledgements

We thank Louise T Chow of the University of Alabama at Birmingham for her critical reading of the manuscript. We thank Craig Meyers of Penn State University Hershey Medical Center for providing HPV16- and HPV18-infected raft cultures, Xing Xie and Yang Li of Zhejiang University Women’s Hospital of China for cervical tissue sections, and Johannes G Schweizer from Arbor Vita Corporation for anti-HPV16 E6-specific antibodies. This work was supported by the Intramural Research Program of the National Institutes of Health, the National Cancer Institute, and the Center for Cancer Research (ZIA SC 010357 to ZMZ).

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Zhi-Ming Zheng, Email: zhengt@exchange.nih.gov.

Chang Liu, Johns Hopkins University, Baltimore, United States.

Eduardo L Franco, McGill University, Montreal, Canada.

Funding Information

This paper was supported by the following grant:

  • The Intramural Research Program of the NIH, NCI, Center for Cancer Research ZIA SC 010357 to Zhi-Ming Zheng.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Data curation, Software, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing – original draft, Writing – review and editing.

Data curation, Formal analysis, Validation, Visualization, Methodology, Writing – original draft, Writing – review and editing.

Conceptualization, Visualization, Writing – review and editing.

Software, Visualization, Methodology.

Software, Investigation, Writing – review and editing.

Conceptualization, Methodology.

Software, Formal analysis.

Supervision, Writing – review and editing.

Conceptualization, Resources, Data curation, Formal analysis, Supervision, Funding acquisition, Investigation, Writing – original draft, Project administration, Writing – review and editing.

Ethics

All clinical cervical tissues were obtained from anonymized excess cervical tissues, with informed consent, that were no longer needed for diagnosis or clinical purposes from a study approved for clinical research by the Institutional Review Board of the Zhejiang University Women’s Hospital.

Additional files

Supplementary file 1. Genome-wide effect of lnc-FANCI-2 knockout (KO) in ΔPr-A9 and ΔYY1 cells on gene expression when compared with parental wild-type (WT) CaSki cells.
elife-102681-supp1.xlsx (3.7MB, xlsx)
Supplementary file 2. The genes with altered expression found in both ΔPr-A9 and ΔYY1-D5 cells when compared with parental wild-type (WT) CaSki cells.
elife-102681-supp2.xlsx (98.3KB, xlsx)
Supplementary file 3. The genes with increased expression in KRAS signaling and epithelial-mesenchymal transition (EMT) and with decreased expression in interferon gamma (IFN-γ) and interferon alpha (IFN-α) responses in lnc-FANCI-2 knockout (KO) cells (ΔPr-A9 and ΔYY1-D5) over the parental wild-type (WT) CaSki cells.
elife-102681-supp3.xlsx (132KB, xlsx)
Supplementary file 4. CaSki proteins and their peptide spectrum matches (PSMs) identified by lnc-FANCI-2 Isolation of lnc-FANCI-2 RNA-protein complex by RNA purification (IRPCRP)-LC-MS/MS.
elife-102681-supp4.xlsx (54.6KB, xlsx)
Supplementary file 5. Sequences of oligonucleotides used in this study.
elife-102681-supp5.xlsx (14.6KB, xlsx)
MDAR checklist

Data availability

RNA Sequencing data have been deposited in GEO under accession code GSE190904.

The following dataset was generated:

Zheng Z, Liu H, Majerciak V, Meyer T. 2022. Effect of a long non-coding RNA, lnc-FANCI-2 on host transcriptome. NCBI Gene Expression Omnibus. GSE190904

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eLife Assessment

Chang Liu 1

This study reports important new insights into the roles of a long noncoding RNA, lnc-FANCI-2, in the progression of cervical cancer induced by a type of human papillomavirus. Through a blend of cell biological, biochemical, and genetic analyses of RNA and protein expression, protein-protein interaction, cell signaling, and cell morphology, the authors provide convincing evidence that lnc-FANCI-2 affects cervical cancer outcome by regulating the RAS signaling pathway. These findings will be of interest to scientists in the fields of cervical cancer, long noncoding RNA, and cell signaling.

Reviewer #1 (Public review):

Anonymous

Summary:

The authors attempted to dissect the function of a long non-coding RNA, lnc-FANCI-2, in cervical cancer. They profiled lnc-FANCI-2 in different cell lines and tissues, generated knockout cell lines, and characterized the gene using multiple assays.

Strengths:

A large body of experimental data has been presented and can serve as a useful resource for the scientific community, including transcriptomics and proteomics datasets. The reported results also span different parts of the regulatory network and open up multiple avenues for future research.

Weaknesses:

The write-up is somewhat unfocused and lacks deep mechanistic insights in some places.

Comments on revisions:

The manuscript is much improved. I am satisfied with the authors' responses.

Reviewer #3 (Public review):

Anonymous

Summary:

A long noncoding RNA, lnc-FANCI-2, was reported to be regulated by HPV E7 oncoprotein and a cell transcription factor, YY1 by this group. The current study focuses on the function of lnc-FANCI-2 in HPV-16 positive cervical cancer is to intrinsically regulate RAS signaling, thereby facilitating our further understanding additional cellular alterations during HPV oncogenesis. Authors used the advanced technical approaches such as KO, transcriptome and (IRPCRP) and LC- MS/MS analyses in the current study and concluded that KO Inc-FANCI-2 significantly increase RAS signaling, especially phosphorylation of Akt and Erk1/2.

Strengths:

(1) HPV E6E7 are required for full immortalization and maintenance of malignant phenotype of cervical cancer, but they are NOT sufficient for full transformation and tumorigenesis. This study helps further the understanding of other cellular alterations in HPV oncogenesis.

(2) lnc-FANCI-2 is upregulated in cervical lesion progression from CIN1, CIN2-3 to cervical cancer, cancer cell lines and HPV transduced cell lines.

(3) Viral E7 of high-risk HPVs and host transcription factor YY1 are two major factors promoting lnc-FANCI-2 expression.

(4) Proteomic profiling of cytosolic and secreted proteins showed inhibition of MCAM, PODXL2 and ECM1 and increased levels of ADAM8 and TIMP2 in KO cells.

(5) RNA-seq analyses revealed that KO cells exhibited significantly increased RAS signaling but decreased IFN pathways.

(6) Increased phosphorylated Akt and Erk1/2, IGFBP3, MCAM, VIM, and CCND2 (cyclin D2) and decreased RAC3 were observed in KO cells.

Comments on revisions:

The revised manuscript has been significantly improved. The authors addressed all my concerns.

eLife. 2025 Aug 29;13:RP102681. doi: 10.7554/eLife.102681.3.sa3

Author response

Haibin Liu 1, Lulu Yu 2, Vladimir Majerciak 3, Thomas J Meyer 4, Ming Yi 5, Peter F Johnson 6, Maggie Cam 7, Douglas R Lowy 8, Zhi-Ming Zheng 9

The following is the authors’ response to the previous reviews

Public Reviews:

Reviewer #1 (Public review):

Summary:

The authors attempted to dissect the function of a long non-coding RNA, lnc-FANCI-2, in cervical cancer. They profiled lnc-FANCI-2 in different cell lines and tissues, generated knockout cell lines, and characterized the gene using multiple assays.

Strengths:

A large body of experimental data has been presented and can serve as a useful resource for the scientific community, including transcriptomics and proteomics datasets. The reported results also span different parts of the regulatory network and open up multiple avenues for future research.

Thanks for your positive comments on the strengths.

Weaknesses:

The write-up is somewhat unfocused and lacks deep mechanistic insights in some places.

As the lnc-FANCI-2 as a novel lncRNA had never been explored for any functional study, our report found that it regulates RAS signaling. Thus, this report focuses on lnc-FANCI-2 and RAS signaling pathway but also includes some important screening data, which are important for our readers to understand how we could reach the RAS signaling.

Reviewer #2 (Public review):

The study by Liu et al provides a functional analysis of lnc-FANCI-2 in cervical carcinogenesis, building on their previous discovery of FANCI-2 being upregulated in cervical cancer by HPV E7.

The authors conducted a comprehensive investigation by knocking out (KO) FANCI-2 in CaSki cells and assessing viral gene expression, cellular morphology, altered protein expression and secretion, altered RNA expression through RNA sequencing (verification of which by RT-PCR is well appreciated), protein binding, etc. Verification experiments by RT-PCR, western blot, etc are notable strengths of the study.

The KO and KD were related to increased Ras signaling and EMT and reduced IFN-y/a responses.

Thanks for your positive comments. It did take us a few years to reach this scientific point for understanding of lnc-FANCI-2 function.

Although the large amount of data is well acknowledged, it is a limitation that most data come from CaSki cells, in which FANCI-2 localization is different from SiHa cells and cancer tissues (Figure 1). The cytoplasmic versus nuclear localization is somewhat puzzling.

Regarding lnc-FANCI-2 localization, it could be both cytoplasmic and nuclear in cervical cancer tissues, HPV16 or HPV18 infected keratinocytes, and HPV16+ cervical cancer cell line CaSki cells which contain multiple integrated HPV16 DNA copies. But surprisingly, it is most detectable in the nucleus in HPV16+ SiHa cells which contain only one copy of integrated HPV16 DNA (Yu, L., et al. mBio 15: e00729-24, 2024). No matter what, knockdown of lnc-FANCI-2 expression from SiHa cells induces RAS signaling leading to an increase in the expression of p-AKT and p-Erk1/2 (suppl. Fig. S6B).

Reviewer #3 (Public review):

Summary:

A long noncoding RNA, lnc-FANCI-2, was reported to be regulated by HPV E7 oncoprotein and a cell transcription factor, YY1 by this group. The current study focuses on the function of lnc-FANCI-2 in HPV-16 positive cervical cancer is to intrinsically regulate RAS signaling, thereby facilitating our further understanding of additional cellular alterations during HPV oncogenesis. The authors used advanced technical approaches such as KO, transcriptome and (IRPCRP) and LC- MS/MS analyses in the current study and concluded that KO Inc-FANCI-2 significantly increases RAS signaling, especially phosphorylation of Akt and Erk1/2.

Strengths:

(1) HPV E6E7 are required for full immortalization and maintenance of the malignant phenotype of cervical cancer, but they are NOT sufficient for full transformation and tumorigenesis. This study helps further understanding of other cellular alterations in HPV oncogenesis.

(2) lnc-FANCI-2 is upregulated in cervical lesion progression from CIN1, CIN2-3 to cervical cancer, cancer cell lines, and HPV transduced cell lines.

(3) Viral E7 of high-risk HPVs and host transcription factor YY1 are two major factors promoting lnc-FANCI-2 expression.

(4) Proteomic profiling of cytosolic and secreted proteins showed inhibition of MCAM, PODXL2, and ECM1 and increased levels of ADAM8 and TIMP2 in KO cells.

(5) RNA-seq analyses revealed that KO cells exhibited significantly increased RAS signaling but decreased IFN pathways.

(6) Increased phosphorylated Akt and Erk1/2, IGFBP3, MCAM, VIM, and CCND2 (cyclin D2) and decreased RAC3 were observed in KO cells.

Thanks for your positive comments. It has taken us almost nine years to reach this point to gradually understand lnc-FANCI-2 functions, which are more complex than our initial thoughts.

Weaknesses:

(1) The authors observed the increased Inc-FANCI-2 in HPV 16 and 18 transduced cells, and other cervical cancer tissues as well, HPV-18 positive HeLa cells exhibited different expressions of Inc-FANCI-2.

Both HPV16 and HPV18 infections induce lnc-FANCI-2 expression in keratinocytes (Liu H., et al. PNAS, 2021). However, HPV18+ cervical cancer cell lines HeLa and C4II cells (Figure S1A and S1B) do not express lnc-FANCI-2 as we see in HPV-negative cell lines such as HCT116, HEK293, HaCaT, and BCBL1 cells. Although we don’t know why, our preliminary data show that the lnc-FANCI-2 promoter functions well and is sensitive to YY1 binding in lnc-FANCI-2 expressing CaSki and C33A cells in our dual luciferase assays but is much less sensitive to YY1 binding in HeLa and HCT116 cells, indicating some unknown cellular factors negatively regulating lnc-FANCI-2 promoter activity.

Author response image 1. A firefly luciferase (FLuc) reporter containing either the wild-type (−600 wt) or YY1-binding-site-mutated lnc-FANCI-2 promoter was evaluated in CaSki, HeLa, C33A, and HCT116 cells for its promoter activity, with Renilla luciferase (RLuc) activity driven by a TK promoter serving as an internal control.

Author response image 1.

The two YY1-binding motifs (A and B) with a X for mutation are illustrated in the right diagram.

(2) Previous studies and data in the current showed a steadily increased Inc-FANCI-2 during cancer progression, however, the authors did not observe significant changes in cell behaviors (both morphology and proliferation) in KO Inc-FANCI-2.

Thanks. We do see decreases in cell proliferation, colony formation, and cell migration, accompanied by increased cell senescence, from the lnc-FANCI-2 KO cells to the parent WT cells. These data are now added to the revised Fig. 1 and the revised supplemental Fig. S3.

(3) The authors observed the significant changes of RAS signaling (downstream) in KO cells, but they provided limited interpretations of how these results contributed to full transformation or tumorigenesis in HPV-positive cancer.

As we stated in the title of this function of lnc-FANCI-2, the lnc-FANCI-2 intrinsically restricts RAS signaling and phosphorylation of Akt and Erk in HPV16-infected cervical cancer. Presumably, high RAS-AKT-ERK signaling inhibits tumor cell survival due to senescence induction as we show in our new Figure 1 and supplemental Fig. S3. A similar report was found in a lung cancer study (Patricia Nieto, et al. Nature 548: 239-243, 2017).

Recommendations for the authors:

Reviewer #1 (Recommendations for the authors):

Major comments:

(1) A major issue is that parts of the manuscript read like a collection of experimental results. However, some of the results do not contribute directly to the central story. Besides confusing the reader, the large amount of apparently disparate results can raise more questions. For example:

a) Why is lnc-FANCI-2 highly expressed in HPV16-infected cervical cancer cell lines (but not in HPV18-infected cells)?

b) How do p53 and RB repress the expression of lnc-FANCI-2?

c) What regulates the sub-cellular localization of lnc-FANCI-2?

d) How does lnc-FANCI-2 negatively regulate RAS signalling?

e) How does MAP4K4 bind to lnc-FANCI-2?

f) Do lnc-FANCI-2 and MAP4K4 require each other to regulate RAS signalling?

g) How does RAS signalling regulate the transcription of MCAM and IGFBP3?

h) How does MCAM feedback on RAS? Do the different MCAM isoforms impact on RAS signalling differently?

i) How does IGFBP3 feedback on ERK but not AKT?

j) How do the other mentioned proteins like ADAM8 fit into the regulatory network?

k) Each question will require a lot more work to address. I think it would be good if the authors could think through carefully what the key message(s) in the current manuscript should be and then present a more focused write-up.

Thanks for the critical comments. Because this study is the first time to explore lnc-FANCI-2 functions, we would like to be collective. We believe these data are important to guide any future studies. We really appreciate our reviewer listing many questions related to HPV infection, cell biology, RAS signaling, cancer biology from questions a to k. To address each question in a satisfactory way will be a separate study, but fortunately, our report has pointed out such a direction with some preliminary data for future studies. Here below are our responses to each question from a to k:

a) Both HPV16 and HPV18 infection induce lnc-FANCI-2 expression in keratinocytes (Liu H., et al. PNAS, 2021). However, HPV18+ cervical cancer cell lines HeLa and C4II cells (Figure S1A and S1B) do not express lnc-FANCI-2 as we see in HPV-negative cell lines such as HCT116, HEK293, HaCaT, and BCBL1 cells. Although we don’t know why, our preliminary data show that lnc-FANCI-2 promoter functions well and is sensitive to YY1 binding in lnc-FANCI-2 expressing CaSki and C33A cells but is much less sensitive to YY1 in HeLa and HCT116 cells, indicating some unknown cellular factors negatively regulating lnc-FANCI-2 promoter activity.

b) We don’t know whether p53 and pRB could repress the expression of lnc-FANCI-2 although C33A cells bearing a mutant p53 and mutant pRB express high amount of lnc-FANCI-2. However, KD of E2F1 had no effect on lnc-FANCI-2 promoter activity in CaSki cells (Liu, H., et al. PNAS, 2021).

c) RNA cellular localization can be affected by many factors, including splicing, export, and polyadenylation. As lnc-FANCI-2 is a long non-coding RNA, its regulation of cellular location could be more complicated than mRNAs and thus could be a future research direction.

d) The conclusion that lnc-FANCI-2 negatively regulates RAS signaling is based on both lnc-FANCI-2 KO and KD studies. Please see the proposed hypothetic model in Figure 8E.

e) The MAP4K4 binding to lnc-FANCI-2 was demonstrated by our IRPCRP-Mass spectrometry (Fig. 8A and 8C), although the exact binding site on lnc-FANCI-2 was not explored. As you probably know, many enzymes today turn out an RNA-binding enzyme (Castello A., et al. Trends Endocrinol. Metab. 26: 746-757, 2015; Hentze MW., et al. Nat. Rev. Mol. Cell Biol. 19: 327-341, 2018)

f) Yes, they are slightly relied on each other in regulating RAS signaling. We found that KD of MAP4K4 in parent CaSki cells (Figure 8D) led to more effect on RAS signaling (MCAM, IGFBP3, p-Akt) than that in lnc-FANCI-2 KO ΔPr-A9 cells. In contrast, the latter displayed more p-Erk1/2 than that induced by KD of lnc-FANCI-2 in the parental CaSki cells (Figure S7C).

g) We believe RAS signaling regulates most likely the transcription of MCAM and IGFBP3 through phosphorylated transcription factors (Figure 8E diagram).

h) As a signal molecule with at least 13 ligands/coreceptors (Joshkon A., et al. Biomedicines 8: 633, 2020), the increased MCAM appears to sustain RAS signaling (Fig. 7J and Fig. 8E). We are assuming the full-length cytoplasmic MCAM plays a predominant role in RAS signaling due to its abundance than the cleaved nuclear MCAM missing both transmembrane and cytoplasmic regions. Plus, RAS signaling mainly occurs in the cytosol.

i) Exact mechanism remains unknown. Lnc-FANCI-2 KO cells exhibit high expression levels of IGFBP3 RNA and protein and p-Erk1/2, but not so much for p-Akt, possibly due to IGFBP3 regulation of MAPK for Erk phosphorylation, but not much so on PI3K for Akt phosphorylation.

j) The dysregulation of RAS signaling and ADAM protein activity is implicated in various cancers. ADAM proteins can modulate RAS signaling by cleaving and releasing ligands that activate or inactivate RAS-related pathways (Schafer B., et al. JBC 279: 47929-38, 2004; Ohtsu H., et al. Am J Physiol Cell Physiol 291: C1-C10, 2006; Dang M, et al. JBC 286: 17704-17713, 2011; Kleino I, et al. PLoS One 10: e0121301, 2015). Some ADAM proteins are Involved in the migration and invasion of cancer cells, and its loss can promote the degradation of KRAS (Huang Y-K., et al. Nat Cancer 5: 400-419, 2024). In this revision, we have a brief discussion on ADAMs and RAS signaling.

k) We agree with our reviewer that each question will require a lot more work to address. As this study is to explore the lnc-FANCI-2 function for the first time, however, we prefer to include all of these data that have been selectively included in this write-up. We hope reviewer 1 will be satisfied with our response to each question from a to j.

(2) Figures S1A & S1C - Replicates are needed.

Yes, we have repeated all of the experiments. The quantification shown in Figure S1A and S1C was performed in triplicate, and error bars have been added to the updated figure.

1. Figure S1D - There seems to be some lnc-FANCI-2 RNA in the nucleus of CaSki cells as well. Please quantify the relative amount of lnc-FANCI-2 in the nucleus vs cytoplasm.

Yes, a small fraction of lnc-FANCI-2 is in the nucleus of CaSki cells as we reported (Liu H., PNAS, 2021, Movies S1 and S2). We did quantify by fractionation and RT-qPCR the relative amount of lnc-FANCI-2 in the nucleus vs cytoplasm in Figure S1C.

(4) Figure S2B - (a) For ΔPr-A9 cells, it looks like there is an increase in E6 and a decrease in E7, instead of "little change" as the authors claimed. (b) I suggest checking the protein levels for all the control and KO clones.

Thanks for the questions. We had some variation in E6 and E7 detection and the submitted one was one representative. We grew again the lnc-FANCI-2 KO clones A9 and B3 and reexamined the expression of HPV16 E6/E7 proteins and their downstream targets, p53 and E2F1. As shown in new Figure S3A expt II, we saw again some variations in the detections (~20-30%) and these variations do not reflect a noticeable change for their downstream targets. Thus, we do not consider these changes significantly enough to draw a conclusion in our study, but rather most likely from sampling in the assays.

(5) In the Proteome Profiler Human sReceptor Array analysis, multiple proteins were highlighted as having at least 30% change. But it is unclear how they relate to RAS signaling.

Thanks for this comment. Cellular soluble receptors are essential for RAS signaling, EMT pathway and IFN responses. For example, the dysregulation of RAS signaling and ADAM protein activity is implicated in various cancers. ADAM proteins can modulate RAS signaling by cleaving and releasing ligands that activate or inactivate RAS-related pathways (Schafer B., et al. JBC 279: 47929-38, 2004; Ohtsu H., et al. Am J Physiol Cell Physiol 291: C1-C10, 2006; Dang M, et al. JBC 286: 17704-17713, 2011; Kleino I, et al. PLoS One 10: e0121301, 2015). Some ADAM proteins are Involved in the migration and invasion of cancer cells, and its loss can promote the degradation of KRAS (Huang Y-K., et al. Nat Cancer 5: 400-419, 2024). In this revision, we have a brief discussion on ADAMs and RAS signaling.

(6) Does knockdown of MAP4K4 lead to an increase in MCAM and IGFBP3?

Yes, the MAP4K4 KD from parental WT CaSki cells does lead an increase in MCAM (~70%) and IGFBP3 (~30%) which is like the knockdown of lnc-FANCI-2 shown in the revised Figure 8D.

Minor comments:

(7) In the opinion of this reviewer the title is somewhat unwieldy.

Thanks. We have shortened the title as “The lnc-FANCI-2 intrinsically restricts RAS signaling in HPV16-infected cervical cancer”

(8) The abstract can be more focused and doesn't have to mention so many gene names. In fact, the significance paragraph works better as an abstract. For the significance, the authors can provide another write-up on the implications of their research instead.

Thanks. We have revised the abstract and added the implications of this research.

(9) The last sentence of the introduction feels a little abrupt. It would be good to elaborate a little more on the key findings.

Thanks for this critical comment. We have revised as in the following: In this report, we demonstrate that lnc-FANCI-2 in HPV16-infected cells controls RAS signaling by interaction with MAP4K4 and other RNA-binding proteins. Ablation of lnc-FANCI-2 in the cells promotes RAS signaling and phosphorylation of Akt and Erk. High levels of lnc-FANCI-2 and low level of MCAM expression in cervical cancer patients correlate with improved survival, indicating that lnc-FANCI-2 plays a critical role in regulating RAS signaling to affect cervical cancer progression and patient outcomes.

(10) Typo on line 191: Should be ADAM8 and not ADMA8.

Corrected.

Reviewer #2 (Recommendations for the authors):

The paper contains a vast amount of data and would greatly benefit from an expanded version of the schematic of Figure 8E summarizing the main results. Including additional details on FANCI-2 regulation by HPV (primarily from previous studies) and its implications for HPV16-driven carcinogenesis would provide a more comprehensive overview.

Thanks for the suggestion. We have modified our Figure 8E to include HR-HPV E7 and YY1 in regulation of lnc-FANCI-2 transcription.

Further specific comments:

(1) The introduction may be shortened to increase readability (e.g. lines 77-90; 94-105).

We have shortened the introduction by deletion of the lines 94-105 from our initial submission.

(2) Lines 55-57 the number of cervical cancer diagnoses and mortality need to be updated to the latest literature. The reference is from 2012.

Thanks. We have revised and updated accordingly with a new citation (Bray F., et al: Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 74, 229-263 (2024))

(3) Line 61: Progression rate of CIN3 is incorrect (31% in 30 years according to reference 5).

Thanks. Corrected.

(4) Lines 108-112 are difficult to understand and should be rewritten.

Thanks. Revised accordingly.

(5) Line 116 Is this correct or should 'but' be 'and'?

Thanks. Corrected accordingly.

(6) Figure 1A top: The difference between cervical cancer and normal areas is hard to see in the top figure. The region labeled as "normal" does not resemble typical differentiating epithelium or normal glandular epithelium, though this is difficult to assess accurately from the image provided. I suggest adding HE staining and also the histotypes.

We have added an H&E staining panel in the corresponding region to Figure 1A, which clearly shows the normal and cancer regions. Both cervical cancer tissues were cervical squamous cell carcinoma.

(7) HFK-HPV16 & 18 cells (Figure 1B) are not described in the Materials & Methods.

Thanks. We revised our Materials and Methods by citing our two previous publications.

(8) Figure 2E (RNA scope on FANCI-2 KO) only shows 2 to 3 cells, which makes it somewhat difficult to assess downregulated expression in the KO. I suggest replacing these with pictures showing more cells (i.e. >10) to strengthen the results.

We have replaced the image in Figure 2E to include more cells.

(9) The spindle-like morphology in deltaPr-A9 cells shown in FigS2A is not very distinct. Including images at higher magnification could help clarify this feature.

Good comment. We have enlarged the images for better view and revised the context.

(10) Both protein and RNA expression analysis have been performed on WT CaSki cells and FANCI-2 KO cells. If I am correct there is little overlap between the significantly changed gene products. What does this mean? Have you looked into the comparison?

The DEGs identified from RNA-seq indicated a genome wide transcriptome change, while the protein array we used only covered 105 soluble protein receptors. However, we did find 9/15 (60%) membrane proteins in cell lysates (PODXL2, ECM1, NECTIN2, MCAM, ADAM9, CDH5, ADAM10, ITGA5, NOTCH1, SCARF2, ADAM8, TIMP2, LGALS3BP, CDH13, and ITGB6) exhibited consistent changes in expression (underlined) by both RNA-seq and protein array assays. We have revised the text with this information (page 11). Other six proteins (40%) had inconsistent expression correlation in two assays could be due to post-translational mechanisms, such as protein stability, modifications and secretion, etc.

(11) Figure S7, which represents TCGA data and survival is quite complex. It would be more effective to display a similar figure for FANCI-2, as was done for MCAM in Figure 7I, to simplify the comparison and enhance clarity.

Thanks. However, the suggested figure for lnc-FANCI-2 was published in PNAS paper already (Liu H., et al. PNAS, 2021). The Figure S8 in this revision is the result from our in-house GradientScanSurv pipeline, a new way to correlate the expression and survival more accurately.

What do the Figures look like if you analyse only HPV16+ patients versus HPV18+ patients, considering that FANCI-2 upregulation in cell lines is related to HPV16 and not 18? Is there an effect of histotype? Or tumor stage?

HPV18 infected keratinocytes express high level of lnc-FANCI-2. Two HPV18+ HeLa and C4II cell lines and HPV-negative cell lines, such as HCT116 cells, which do not express lnc-FANCI-2 could be due to the presence of some unknow repressive factors. We found that lnc-FANCI-2 promoter functions well in responding to YY1 binding in CaSki and C33A cells expressing lnc-FANCI-2 but does not so in HeLa and HCT116 cells in our dual luciferase assays.

(12) It remains puzzling that FANCI-2 upregulation was previously shown to already occur in CIN lesions and increase further in cervical cancer, while the current data indicate that FANCI-2 suppresses AKT activation. If I am correct Akt activation has been linked to cervical carcinogenesis. Similarly, line 434 states that increased MCAM might promote cervical tumorigenesis, implying that low FANCI-2 would stimulate tumorigenesis. If I understand correctly, the increase in FANCI-2 observed in CIN lesions would reflect a "brake" on the carcinogenic pathway and its sustained increase in cancer might indicate that growth is still (partly) controlled. As mentioned earlier, a Figure illustrating the relation between FANCI-2, HPV, and the carcinogenic process would be beneficial for clarity.

Yes. Increased MCAM, but low level of lnc-FANCI-2, correlates with poor cervical cancer survival. We have revised Figure 8E to illustrate this relation better.

(13) May part of the potentially conflicting findings be explained by CaSki cells being of metastatic origin? Related to this, does the expression of FANCI-2 or MALM depend on the tumor stage?

Thanks for this important suggestion. Unfortunately, we found that the expression of lnc-FANCI-2 and MCAM is not associated with cervical cancer stage based on the TCGA data (http://gepia.cancer-pku.cn/index.html). See the data below:

Author response image 2.

Author response image 2.

Despite some lingering uncertainty, the extensive experiments conducted using KO and KD cells do provide compelling evidence that lnc-FANCI-2 function is linked to RAS signaling and EMT.

Thanks for your positive review and instructive comments.

Reviewer #3 (Recommendations for the authors):

(1) The authors observed the increased Inc-FANCI-2 in HPV 16 and 18 transduced cells, and other cervical cancer tissues as well, HPV-18 positive HeLa cells exhibited different expressions of Inc-FANCI-2. I suggest authors provide more discussions on this difference, for example, HPV genotypes. HPV genome status in host cells? Cell types?

Thanks. We found the keratinocyte infections with HPV16, HPV18, and other HR-HPVs could induce lnc-FANCI-2 expression (Liu H., et al. PNAS, 2021). In this report, we found HPV18+ HeLa and C4II cells and other HPV-negative cell lines do not. Our preliminary data on lnc-FANCI-2 promoter activity assays showed the presence of a negative regulatory factor (s) in non-lnc-FANCI-2 expressing cells. See the data in Author response image 1.

We have revised our discussion by inclusion these sets of the luciferase data as data not shown.

(2) I suggest the authors discuss more details on how the changes of RAS signaling in KO cells help our further understanding of the molecular mechanisms for HPV-associated full-cell transformation and malignancy in addition to the well-known functions of HPV E6 and E7.

Thanks. We have modified the Figure 8E as suggested by reviewer 2 and revised the discussion further.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Citations

    1. Zheng Z, Liu H, Majerciak V, Meyer T. 2022. Effect of a long non-coding RNA, lnc-FANCI-2 on host transcriptome. NCBI Gene Expression Omnibus. GSE190904

    Supplementary Materials

    Figure 2—source data 1. Northern blot and western blot data for Figure 2.
    Figure 2—source data 2. Northern blot and western blot data for Figure 2.
    Figure 3—source data 1. PCR screening and northern blot data of lnc-FANCI-2 KO single cell clones for Figure 3.
    Figure 3—source data 2. PCR screening and northern blot data of lnc-FANCI-2 KO single cell clones for Figure 3.
    Figure 3—figure supplement 2—source data 1. lnc-FANCI-2 KO in CaSki cells and the expression of HPV16 E6 and E7 and their downstream targets.
    Figure 3—figure supplement 2—source data 2. lnc-FANCI-2 KO in CaSki cells and the expression of HPV16 E6 and E7 and their downstream targets.
    Figure 4—source data 1. Knockout (KO) of lnc-FANCI-2 in CaSki cells affects expression of cellular soluble receptors.
    Figure 4—source data 2. Knockout (KO) of lnc-FANCI-2 in CaSki cells affects expression of cellular soluble receptors.
    Figure 5—source data 1. Validation of selective 12 upregulated or downregulated DEGs by RT-PCR.
    Figure 5—source data 2. Validation of selective 12 upregulated or downregulated DEGs by RT-PCR.
    Figure 7—source data 1. lnc-FANCI-2 knockout (KO) and activation of RAS signaling pathway.
    Figure 7—source data 2. lnc-FANCI-2 knockout (KO) and activation of RAS signaling pathway.
    Figure 7—figure supplement 2—source data 1. lnc-FANCI-2 knockout (KO) and activation of RAS signaling pathway.
    Figure 7—figure supplement 2—source data 2. lnc-FANCI-2 knockout (KO) and activation of RAS signaling pathway.
    Figure 8—source data 1. lnc-FANCI-2 is suppressive to the expression of IGFBP3 and MCAM.
    Figure 8—source data 2. lnc-FANCI-2 is suppressive to the expression of IGFBP3 and MCAM.
    Figure 8—figure supplement 1—source data 1. Expression of IGFBP3, MCAM, MAP4K4, and lnc-FANCI-2.
    Figure 8—figure supplement 1—source data 2. Expression of IGFBP3, MCAM, MAP4K4, and lnc-FANCI-2.
    Figure 9—source data 1. lnc-FANCI-2 interacts with host factors to regulate RAS signaling pathway.
    Figure 9—source data 2. lnc-FANCI-2 interacts with host factors to regulate RAS signaling pathway.
    Supplementary file 1. Genome-wide effect of lnc-FANCI-2 knockout (KO) in ΔPr-A9 and ΔYY1 cells on gene expression when compared with parental wild-type (WT) CaSki cells.
    elife-102681-supp1.xlsx (3.7MB, xlsx)
    Supplementary file 2. The genes with altered expression found in both ΔPr-A9 and ΔYY1-D5 cells when compared with parental wild-type (WT) CaSki cells.
    elife-102681-supp2.xlsx (98.3KB, xlsx)
    Supplementary file 3. The genes with increased expression in KRAS signaling and epithelial-mesenchymal transition (EMT) and with decreased expression in interferon gamma (IFN-γ) and interferon alpha (IFN-α) responses in lnc-FANCI-2 knockout (KO) cells (ΔPr-A9 and ΔYY1-D5) over the parental wild-type (WT) CaSki cells.
    elife-102681-supp3.xlsx (132KB, xlsx)
    Supplementary file 4. CaSki proteins and their peptide spectrum matches (PSMs) identified by lnc-FANCI-2 Isolation of lnc-FANCI-2 RNA-protein complex by RNA purification (IRPCRP)-LC-MS/MS.
    elife-102681-supp4.xlsx (54.6KB, xlsx)
    Supplementary file 5. Sequences of oligonucleotides used in this study.
    elife-102681-supp5.xlsx (14.6KB, xlsx)
    MDAR checklist

    Data Availability Statement

    RNA Sequencing data have been deposited in GEO under accession code GSE190904.

    The following dataset was generated:

    Zheng Z, Liu H, Majerciak V, Meyer T. 2022. Effect of a long non-coding RNA, lnc-FANCI-2 on host transcriptome. NCBI Gene Expression Omnibus. GSE190904


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