Skip to main content
Life Science Alliance logoLink to Life Science Alliance
. 2025 Nov 20;9(2):e202503447. doi: 10.26508/lsa.202503447

SOX2 is a dispensable modulator of NUT carcinoma oncogenesis in mice

Chenxiang Luo 1,2,6, Dejin Zheng 1,2, Ahmed Elnegiry 1,2,7, Sheetal Bhatara 3, George I Mias 2,4, Mayra F Tsoi 5, Jiyang Yu 3, Bin Gu 1,2,✉
PMCID: PMC12634820  PMID: 41266112

This study shows that SOX2 is not required for NUT carcinoma initiation or maintenance in vivo, challenging its assumed oncogenic role and refining therapeutic target prioritization.

Abstract

NUT carcinoma (NC) is an aggressive malignancy driven by BRD4::NUTM1 and other NUTM1 fusion oncogenes. BRD4::NUTM1 aberrantly activates transcription factors (TFs) associated with basal progenitor cells of stratified epithelium, resulting in a poorly differentiated squamous cell carcinoma (SCC) phenotypes. Among these TFs, SOX2 has been proposed as a critical driver. However, its role in NC initiation and progression has not been investigated in vivo. Using a genetically engineered mouse model that faithfully recapitulates human NC, we performed lineage-specific conditional deletion of Sox2 in both squamous and non-squamous tissues during NC oncogenesis. We found that SOX2 is dispensable for NC initiation and progression, and that tumors lacking SOX2 retain characteristic histological features and expression of key oncogenic drivers, including BRD4::NUTM1, MYC, and TP63. Bulk RNA sequencing revealed only modest transcriptional changes in SOX2-deficient tumors, primarily affecting metabolic and biosynthetic pathways, without disrupting core oncogenic programs. These findings challenge the assumption that SOX2 is universally required for NC oncogenesis and highlight the autonomy of BRD4::NUTM1 in establishing and maintaining the NC phenotype. Our results suggest that SOX2 is dispensable for NC and redirect therapeutic focus toward BRD4::NUTM1 and its chromatin remodeling dependencies.

Introduction

NUT carcinoma (NC) is an aggressive solid tumor driven by the BRD4::NUTM1 and other NUTM1 fusion genes (1, 2). Currently, no effective treatment is available for NC. A diagnosis of NC is associated with a near-universal fatal outcome (median overall survival (OS) is 6.5 mo) (3, 4). Though perceived as rare, NC is likely substantially underdiagnosed because of its ability to arise in diverse anatomical sites across the body and its presentation with a poorly differentiated, ambiguous histological phenotype (3, 5). More cases are being diagnosed and identified from retrospective cohorts with the advent of specific diagnostic techniques, including NUTM1 immunohistochemistry using specific antibodies, and unbiased genome and transcriptome sequencing. A recent estimation suggests about 1,400 new cases per year in the United States (6, 7), a figure that is expected to increase with growing diagnostic awareness and research efforts worldwide.

Mechanistic studies that dissect the gene regulatory network have provided critical insights into tumor initiation and progression, leading to the development of effective treatments for both common and rare tumors, and similar breakthroughs are anticipated for NC. For decades, investigation on NC biology relied on human NC patient–derived cell lines and their xenograft models, which have elucidated pivotal oncogenic pathways like the BRD4–NUT–p300 axis and enabled early therapeutic strategies, such as bromodomain and extra-terminal motif (BET) protein inhibitors (8, 9, 10, 11, 12). However, almost all cell lines are derived from advanced and often heavily treated tumors and removed from their native tissue environment, limiting their capacity to model the early tumorigenic events and natural evolution of NC. Recently, two concurrently published NC genetically engineered mouse models (GEMMs) have demonstrated that BRD4::NUTM1 is sufficient as a sole oncogenic driver to initiate aggressive tumors resembling human NC (hNC) (13, 14). One model employs a Brd4::hNUTM1 knock-in allele activated by the FLEx system and Sox2-CreERT2, resulting in widespread fusion expression and consistent tumor formation in the esophagus, including the gastroesophageal junction (13). The other is the NUT carcinoma translocator (NCT) model (MMRRC_071753-MU), developed by our group. Leveraging Cre-lox–mediated interchromosomal recombination, the NCT model induces a chromosome translocation t(2; 17) syntenic to the human t(15; 19) and generates a Brd4::Nutm1 fusion gene (Fig 1A, reproduced from reference 14 under CC BY 4.0). Because of the inherent low efficiency of interchromosomal recombination, the resulting fusion mutation event is rare and at clonal frequency, uniquely recapitulating the sporadic, clonal origin of NC initiation in hNC, in contrast to the knock-in model in which all target cells uniformly express the fusion. Lineage-specific induction of this event yields highly aggressive tumors at ∼100% penetrance, faithfully phenocopying the diverse anatomical distribution, the poorly differentiated squamous cell carcinoma (SCC) phenotype, and molecular markers (p63, c-MYC, and SOX2) observed in human NC. Thus, these NC GEMMs offer an ideal and powerful platform that now enables new opportunities to investigate the mechanisms of NC initiation and progression.

Figure 1. SOX2 is heterogeneously expressed in mouse and human NUT carcinoma (NC).

Figure 1.

(A) Schematic of lineage-specific NCT-based genetically engineered mouse models (GEMMs) used to generate NC tumors from the oral cavity (KRT14-Cre), thyroid and lung (Nkx2.1-Cre), and pancreas (Pdx1-Cre) (reproduced from reference 14 under CC BY 4.0). (B) Immunohistochemistry (IHC) for SOX2 in mouse NC tumors. White dashed lines demarcate the interface between SOX2− and SOX2+ tumor regions, with SOX2+ cells often localized near adjacent morphologically normal tissue. (B) Scale bar: 100 μm. Note: The SOX2 panel in (B) (first row) and the SOX2 image in Fig 3A (bottom right subpanel) were derived from the same whole-slide scan of the same tissue section, shown at different magnifications and regions of interest. (C) Quantification of SOX2+ cells in tumors from different tissue origins. n = 7 (oral), 6 (thyroid), 4 (lung), 4 (pancreas). Bars represent the median with an interquartile range.

NUT carcinoma is primarily considered an epigenetically driven cancer in which the BRD4–NUT–p300 axis promotes widespread chromatin hyperacetylation and activates the expression of SOX2, MYC, TP63, and likely other transcription factors to drive NC tumorigenesis and SCC phenotype (7, 8, 9). Among these, SOX2 is a powerful TF critical for the self-renewal, regeneration, and differentiation control of stratified epithelial basal progenitor cells and other stem cell types, including embryonic stem cells and neural stem cells (15, 16). Furthermore, SOX2 has been shown to be required for the sustenance of the malignancy properties of human SCC cell lines in vitro, and the initiation and progression of SCCs from the skin and esophagus in vivo (15, 17, 18, 19). Indeed, SOX2 has been proposed as a potential stem cell marker of NC. In human NC cell lines, RNAi-based SOX2 knockdown induces cellular differentiation and impairs tumor sphere and colony formation, albeit with only moderate effects on proliferation (20). Moreover, the role of SOX2 in NC has also been implicated in the NC GEMM generated by Durall et al, in which mNC tumors arise from Sox2-expressing cells (13). However, hNCs can arise from not only tissues with a large number of SOX2-positive cells such as paranasal sinuses and oral mucosa (21, 22), but also tissues that generally lack any SOX2-positive cells, such as the distal lung tissues, thyroid glands, and pancreas (3, 23, 24). This pattern is recapitulated by the NCT-based mouse models (14). These findings raise fundamental questions about whether SOX2 acts as a universal driver or context-dependent marker in NC, and whether it is essential for tumor initiation and maintenance. To address this, we performed conditional Sox2 knockout in multiple NCT model lineages and found that SOX2 is dispensable for the initiation and progression of NC, regardless of whether the tissue of origin normally expresses Sox2. Transcriptomic analysis revealed only modest changes, primarily affecting metabolic pathways, with no disruption of core oncogenic programs in SOX2-deficient tumors. Our findings challenge the assumed universal dependency on SOX2 in NC and suggest that cautions should be taken for pursuing SOX2-targeting agents as a monotherapy for NC.

Results

SOX2 is expressed in subpopulations of NC cells with high inter-tumor variability

SOX2 has been proposed as a downstream target activated by BRD4::NUTM1 in NC (8, 20). To assess its expression, we performed SOX2 immunohistochemistry on mouse NC (mNC) tumors derived from multiple tissue lineages using NCT models driven by different Cre lines (14). Serial neighboring sections were analyzed from mNCs originating in the oral cavity (KRT14-Cre; NCT model), thyroid (Nkx2.1-Cre; NCT model), lung (Nkx2.1-Cre; NCT model), and pancreas (Pdx1-Cre; NCT model), encompassing the major anatomical sites where human NC has been reported. Unlike other NC markers, such as BRD4::NUTM1 and p63, which are diffusely expressed across most tumor cells, SOX2 is restricted to discrete subpopulations, often located near the tumor margin adjacent to the morphologically normal tissue (Fig 1B). Furthermore, the frequency of SOX2-expressing cells within mNCs is highly variable, with no clear correlation with the tissues of origin (Fig 1C). SOX2 is not routinely assessed in clinical NC diagnosis and has been sparsely reported in literature. However, in limited studies where SOX2 was examined, it is highly expressed in most cases (4/5) in one study (20), but expressed only in subpopulations of NC cells in two others (20, 25, 26). To further investigate the relevance of this pattern in human NC, we interrogated the RNA-seq data of 12 human NC cell lines. These cell lines represent diverse patient demographics, including age range and tumor locations of human NC (27). High variability of SOX2 expression was observed, with a median expression level of 18,489 transcripts and an interquartile range (IQR) of 14,742 (Fig S1). As a comparison, the expression of the BRD4::NUTM1 fusion gene is consistent among the cell lines (median: 3,865; IQR: 1,964). These findings demonstrate that SOX2 is not universally expressed in NC cells within tumors and cell lines, implicating that it is not universally required for NC survival. However, it may instead play a role in NC initiation or define a small, functionally important stem-like subpopulation. To test these hypotheses, we conducted conditional Sox2 knockout experiments to evaluate its role in NC development.

Figure S1. SOX2 mRNA expression across 12 human NC cell lines profiled by RNA-seq (27).

Figure S1.

Cell lines include one fibroblast control (P896-FB, NUTM1− SOX2−), one BRD3::NUTM1 fusion (10,326), and 10 BRD4::NUTM1 fusions from thoracic (TC797, TY82, 8,645, HCC2429, PER-403, 11,060, PER-624), head and neck (PER-704, RPMI2650), and unknown sites (14,169).

SOX2 is not required for mNC initiation and progression from Krt14-expressing tissues

The NCT mouse model induces low-frequency, sporadic Brd4::Nutm1 chromosomal translocations that drive NC formation via constitutively active Cre recombinase expressed in defined lineages. A tdTomato-Luc2 reporter knocked in downstream of the testis-specific Nutm1 gene allows in vivo monitoring of tumor initiation and growth by bioluminescence imaging (14). To assess the functional requirement of SOX2 in mNC development, we introduced a floxed Sox2 allele into this system, allowing Cre-mediated deletion of Sox2 in the specific cell population from which mNC arises (Fig 2A).

Figure 2. SOX2 is not required for NC initiation and progression in KRT14-expressing tissues.

Figure 2.

(A) Schematic of the NCT mouse model with Krt14-Cre–mediated conditional deletion of Sox2 and activation of Brd4::Nutm1 fusion in Krt14-expressing lineages (oral mucosa, skin, salivary glands). (B) Representative bioluminescence images of KRT14-Cre; NCT+/−;Sox2fl/fl (Sox2 KO) and KRT14-Cre; NCT+/− (Sox2 WT) mice. (C) Tumor distribution across anatomical sites in Sox2 WT, heterozygous KO, and homozygous KO mice. (D) Kaplan–Meier survival curves for the three genotypes. n = number of independent mice per group (indicated on plot). A log-rank test was used; P-values are shown. (E) Representative H&E staining of Sox2 KO and WT tumors, showing poorly differentiated squamous morphology with abrupt keratinization, consistent with NC (n = 3). Scale bar: 800 μm (overview); 50 μm (zoom-in). (F) Immunohistochemistry (IHC) for canonical NC markers (BRD4::NUTM1, p63, MYC), Ki-67, and SOX2 in Sox2 KO and WT tumors (n = 3). Scale bar: 20 μm. (G) Quantification of marker-positive tumor cells in Sox2 WT and KO tumors. Bars indicate the mean ± SD (n = 3). A two-sided unpaired t test was used. The significance level was indicated on the plot. ns, not significant.

Because Sox2 deletion in respiratory epithelium causes perinatal lethality (28), we started with the KRT14-Cre–driven mNC model, which induces recombination in ectoderm-derived epithelial basal cells, mainly in oral mucosa, skin, and salivary glands (29). As shown in Fig 2B and C, similar to Sox2-WT controls (KRT14-Cre; NCT+/−), the KRT14-Cre; NCT+/−;Sox2fl/fl mice develop tumors at 100% penetrance. Tumors primarily arose in the oral mucosa, with additional tumors in the skin or salivary glands in about half of the mice. Tumor growth kinetics were comparable between genotypes, with rapid progression leading to early mortality (Fig 2D). Histologically, Sox2-deficient mNCs resembled WT tumors, displaying features of poorly differentiated squamous cell carcinoma with abrupt keratinization, consistent with classic NC morphology (Fig 2E). IHC confirmed complete loss of SOX2 expression in knockout tumors, whereas other canonical NC markers including BRD4::NUTM1, p63, and MYC remained robustly expressed (Fig 2F and G). In addition, both genotypes showed similar high levels of Ki-67 expression, suggesting SOX2 loss did not impair tumor growth, consistent with the survival curve.

To rule out the possibility that Sox2 was not effectively deleted in tumor cells (a potential concern in GEMMs where rare escapees may give rise to tumors), we examined whole-head sections by IHC. In control mice, nuclear SOX2 staining was present in oral tumors, adjacent oral mucosa, and nasal epithelium (Fig 3A). In Sox2-deficient mice, SOX2 staining was absent in both the oral tumors and the KRT14-Cre–targeted oral mucosa, confirming effective gene deletion. In contrast, robust SOX2 staining was retained in nasal epithelium where KRT14-Cre is inactive, demonstrating both successful conditional knockout and antibody specificity. Although IHC or IF cannot completely exclude the presence of a few NC cells retaining the Sox2 allele, the genetic configuration of this GEMM strongly supports efficient deletion. In this model, the same Krt14-Cre event that induces the Brd4::Nutm1 translocation simultaneously excises the Sox2 fl alleles, and the frequency of floxed excision far exceeds that of chromosomal translocation. Because Krt14-Cre remains active in NC cells, any residual floxed alleles would be deleted during tumor progression, making it highly improbable that a Brd4::Nutm1-positive tumor retains intact Sox2.

Figure 3. Effective Sox2 deletion in target epithelia and SOX2-independent skin tumor formation.

Figure 3.

(A) IHC of whole-head sections showing SOX2 expression in oral mucosa, nasal epithelium, and oral tumors of Sox2 WT and KO mice. (A) Scale bar: 800 μm (overview); 50 μm (zoom-in). Note: The SOX2 image in (A) (bottom right subpanel) and the SOX2 panel in Fig 1B (first row) were derived from the same whole-slide scan of the same tissue section, shown at different magnifications and regions of interest. (A, B) Representative H&E images of skin tumors from Sox2 KO and WT mice revealing poorly differentiated squamous carcinoma (A) with abrupt keratinization (B). Scale bar: 200 μm (overview); 50 μm (zoom-in).

Importantly, SOX2+ progenitors are naturally present in oral mucosa and salivary glands, but not in the interfollicular epidermis, which lacks SOX2 expression (18, 30, 31). Despite this, approximately half of both Sox2 WT and knockout mice developed mNCs in the skin, with tumors exhibiting indistinguishable histology, consistent with poorly differentiated squamous cell carcinoma with abrupt keratinization (Fig 3B). These findings reinforce that SOX2 is dispensable for mNC development not only in SOX2-expressing tissues but possibly also in tissues that do not express SOX2 under normal physiological conditions. However, monitoring skin tumor development in this model was challenging. As the KRT14-Cre; NCT system predominantly initiates tumors in the oral cavity, tumor burden on this site often impairs drinking, feeding, and breathing before skin tumors become externally detectable or measurable. This limitation hinders accurate assessment of tumor latency and penetrance in the skin compartment.

To overcome this, we next designed conditional Sox2 knockout experiments in the pancreas that do not normally express SOX2, allowing us to test whether ectopic SOX2 activation is necessary for NC oncogenesis, without the confounding effects of early-onset oral tumors.

Loss of Sox2 does not impair mNC initiation or progression in Sox2-absent progenitors from the pancreas

SOX2 is a known regulator of progenitor cells in ectodermal and anterior foregut-derived tissues such as the oral mucosa, skin, salivary gland, and esophagus (30). However, SOX2 is neither expressed nor required during the development of posterior foregut-derived structures such as the pancreas and bile duct, which arise from Pdx1-expressing progenitors (29). To test whether SOX2 is required for Brd4::Nutm1-driven tumorigenesis in this context, we deleted Sox2 in the Pdx1-Cre; NCT model. Despite arising from SOX2-negative progenitors, the Pdx1-Cre; NCT+/−;Sox2fl;fl mice developed mNCs in the pancreas at 100% penetrance, comparable to the Sox2 WT controls. The tumor growth kinetics (Fig 4A and B), survival curve (Fig 4C), and disease progression were also indistinguishable between genotypes. Notably, most mice reached humane endpoints within 3 wk of tumor detection by BLI, mirroring the rapid progression observed in the KRT14-Cre; NCT models, regardless of the Sox2 status. Histologically, Sox2-deficient tumors in the pancreas exhibited classic features of poorly differentiated squamous cell carcinoma, similar to Sox2 WT tumors (Fig 4D). IHC analysis of serial sections confirmed complete loss of SOX2 in knockout tumors, without affecting the expression of key NC markers including BRD4::NUTM1, p63, and MYC. The percentage of Ki-67–positive tumor cells was also comparable between groups, indicating that SOX2 loss does not impair proliferative capacity (Fig 4D and E). No apparent developmental growth or pancreatic/bile duct defects were observed in the Pdx1-Cre; NCT+/−;Sox2fl;fl mice. Together, these data demonstrate that SOX2 is not required for NC initiation, maintenance, or progression in Pdx1-expressing Sox2-absent tissues, supporting a broader conclusion that SOX2 is dispensable for both hijacking and reprogramming mechanisms of BRD4::NUTM1-driven transformation—regardless of the tissue of origin or the SOX2 status of the cell of origin.

Figure 4. SOX2 is dispensable for NC initiation and progression in SOX2-negative lineages.

Figure 4.

(A) Representative bioluminescence images of Pdx1-Cre; NCT+/−;Sox2fl/fl (Sox2 KO) and Pdx1-Cre; NCT+/− (Sox2 WT) mice. (B) Quantification of bioluminescence signal (photons/s) over time. Lines represent mean values; shaded areas indicate the range. (C) Kaplan–Meier survival curves for Sox2 WT, heterozygous KO, and homozygous KO mice. n = number of independent mice per group (indicated on plot). A log-rank test was used; P-values are shown. (D) Representative H&E staining and IHC for canonical NC markers (BRD4::NUTM1, p63, MYC), Ki-67, and SOX2 (n = 3). Scale bar: 800 μm (overview); 50 μm (zoom-in). (E) Quantification of marker-positive tumor cells in Sox2 WT and KO tumors. Bars indicate the mean ± SD (n = 3). A two-sided unpaired t test was used. The significance level was indicated on the plot. ns, not significant.

Transcriptomic profiling reveals minimal impact of Sox2 loss on mNC gene expression programs

To investigate whether Sox2 loss alters the transcriptional landscape of NC, we performed bulk RNA sequencing on mNC tumors derived from the oral mucosa (KRT14-Cre) and pancreas (Pdx1-Cre) in both Sox2 WT and Sox2-deficient backgrounds. Alignment of sequencing reads confirmed successful Sox2 deletion in knockout tumors, as visualized in the IGV track (Fig 5A). Principal component analysis revealed that tumors primarily clustered by tissue of origin, rather than by Sox2 status (Fig 5B), indicating that tissue-specific transcriptional profiles dominate over any effect of SOX2 loss. Consistent with this, differential expression analysis using DESeq2 identified only a modest number of differentially expressed genes (DEGs) between Sox2 knockout and WT tumors in each tissue (|log2FC| > 1, adjusted P < 0.05): 407 up-regulated and 832 down-regulated genes in oral tumors, and 106 up-regulated and 346 down-regulated genes in pancreatic tumors (Fig 5C and D). The labeled genes in the MA plots represent top-ranked examples by statistical significance and fold change, but they span diverse and largely unrelated categories without clear biological relevance to NC. This lack of a coherent or functionally convergent pattern further supports the conclusion that Sox2 loss does not reprogram the core oncogenic transcriptional program. Only a small subset of genes (4 up-regulated, 13 down-regulated) was shared between the two tissue types (Fig 5E). Sox2 appears among the shared down-regulated genes, which serves as an internal control confirming efficient gene deletion in both models, but does not reflect a biologically informative change. Importantly, canonical NC oncogenic drivers, including Myc, Trp63, and Brd4::Nutm1, remained robustly expressed and unaffected by SOX2 status (Fig 5F). To evaluate whether other SOX family members, particularly those within the SOXB clade (Sox1, Sox3, Sox14, Sox21), were compensatorily up-regulated, we examined expression levels of all mouse Sox genes. No evidence of compensatory up-regulation was observed (Fig 5F). In addition to NC markers and Sox family genes, we assessed expression of candidate SOX2 partner factors, including Pou5f1, Nanog, Klf4, Klf5, Tead1–4, Yap1, and Wwtr1. None of these genes were differentially expressed between Sox2 WT and knockout tumors in either oral or pancreatic NC (Fig 5F). To further explore whether Sox2 loss subtly reprograms the transcriptome, we performed gene set enrichment analysis (GSEA) using the full ranked gene list (based on shrunken log2 fold changes). Across both tissues, only a limited number of gene sets were significantly down-regulated in the Sox2-deficient tumors. Notably, the commonly suppressed pathways included oxidative phosphorylation, proton motive force–driven mitochondrial ATP synthesis, cellular respiration, aerobic respiration, and purine nucleoside/ribonucleoside triphosphate biosynthesis, suggesting a modest reduction in metabolic and biosynthetic activity (Fig 5G).

Figure 5. Transcriptomic profiling reveals minimal impact of Sox2 loss on mNC gene expression programs.

Figure 5.

(A) Integrative Genomics Viewer (IGV) tracks showing RNA-seq read coverage over the Sox2 locus in Sox2 WT and KO tumors from oral and pancreas. (B) Principal component analysis of Sox2 WT and KO tumors from oral and pancreas. n = 4 (oral WT), 2 (oral KO), 4 (pancreatic WT), 3 (pancreatic KO). (C, D) MA plots displaying differentially expressed genes (DEGs) in Sox2 KO versus WT tumors from oral mucosa (C) and pancreas (D). DEGs were defined as |log2FC| > 1, adjusted P < 0.05. (E) Grouped bar graph showing log2 fold changes of DEGs overlapping between oral and pancreatic tumors. (F) Bar plots showing expression levels (log10(normalized count + 1), normalized using the DESeq2 mean-of-ratios method) of Brd4::Nutm1, Trp63, Myc, candidate Sox2 partners, and Sox family genes in Sox2 WT and KO tumors. (G) Gene set enrichment analysis of Sox2 KO versus WT tumors from oral and pancreatic tissues.

Together, these findings indicate that SOX2 loss does not lead to major transcriptional rewiring in Brd4::Nutm1-driven tumors. Aside from a mild impact on mitochondrial and biosynthetic gene expression, the core oncogenic transcriptional program remains intact, reinforcing the conclusion that SOX2 is dispensable for NC maintenance at both the molecular and phenotypic levels.

Discussion

NUT carcinoma (NC) is an aggressive and poorly differentiated squamous cell cancer driven by BRD4::NUTM1 and other NUTM1 fusion oncogenes. Despite their diverse anatomical presentation, NCs consistently exhibit a squamous cell phenotype characterized by basal cell marker expression and high proliferative capacity (3, 5, 7). This phenotypic uniformity across tissues suggests that BRD4::NUTM1 may either hijack existing squamous cell programs or actively reprogram diverse progenitor cells toward a shared oncogenic state. Among potential cooperating factors, SOX2 has been proposed as a critical contributor to NC biology, as a master regulator of stemness and squamous fate.

SOX2 has been implicated in the pathogenesis of various cancers, often reflecting the biology of the cell of origin. In tumors arising from SOX2+ epithelial progenitor populations, such as those in the upper aerodigestive tract, SOX2 is frequently amplified (in the 3q chromosomal region) or overexpressed and contributes to maintaining the proliferative, undifferentiated SCC state (32, 33, 34, 35, 36). In these contexts, SOX2 often functions as a lineage-survival oncogene, reinforcing the developmental identity of the tissue and cooperating with other oncogenic signals such as TP63 and PI3K pathway activation, and is often insufficient alone to drive transformation (36, 37, 38, 39). In skin SCC specifically, SOX2 is not expressed in the interfollicular epidermis under homeostatic conditions, but marks tumor-initiating cells in mouse models of skin SCC and is required for maintaining their self-renewal and tumorigenic capacity (18). In contrast, tumors that arise from SOX2-negative lineages ectopically activate SOX2 during tumor progression, particularly in association with squamous transdifferentiation, but its functional contribution in these contexts appears variable or non-essential (40, 41, 42, 43, 44, 45, 46, 47). In parallel to carcinoma, SOX2 is a critical oncogene for neural progenitor cell–derived cancers, such as glioblastoma and medulloblastoma, where it sustains cancer stem cells (48, 49). These observations highlight the importance of developmental context in interpreting SOX2 function in cancer and suggest that its contribution to tumorigenesis may be tightly linked to its physiological role in tissue-specific progenitor populations and conditioned to specific oncogenic mechanism.

In line with this variability, Stirnweiss et al compared drug response profiles and genetic features of 12 NC cell lines and identified BETi-sensitive and BETi-insensitive subgroups (27). Notably, SOX2 was not among the DEGs distinguishing these groups, suggesting it is not a key determinant of therapy response. Together with the high variability of SOX2 expression observed in these 12 NC cell lines (Fig S1), these findings support the conclusion that SOX2 is not universally required for NC maintenance or therapy sensitivity.

Here, we use multiple lineage-specific GEMMs and transcriptomic analyses to demonstrate that SOX2 is dispensable for BRD4::NUTM1-driven NC initiation, maintenance, and progression, regardless of tissue of origin. In SOX2-expressing tissues such as the oral mucosa and salivary glands, deletion of Sox2 in KRT14-Cre–driven models did not impair tumor formation, growth kinetics, or histological identity. Tumors retained canonical NC features, including the expression of BRD4::NUTM1, P63, and MYC, and showed no reduction in proliferation. Importantly, the ability of BRD4::NUTM1 to drive NC from SOX2-negative lineages, such as skin and pancreas, was unaffected by the absence of SOX2, indicating that even when BRD4::NUTM1 may rely on a reprogramming mechanism (rather than hijacking preexisting SOX2-driven circuits), SOX2 is not required. Bulk RNA-seq further supported these findings by showing minimal transcriptomic differences between Sox2 WT and knockout tumors. Principal component analysis revealed clustering primarily by tissue type rather than genotype, and differential gene expression analysis identified only modest changes, with very few shared DEGs across tissues. Importantly, the expression of other SOX family members did not increase, ruling out compensatory redundancy. GSEA revealed slight down-regulation of oxidative phosphorylation and purine metabolism pathways in Sox2-deficient tumors, suggesting a mild reduction in biosynthetic and mitochondrial activity.

Collectively, these findings challenge the assumption that SOX2 is a universal driver or necessary cofactor in NC oncogenesis. Although SOX2 is expressed in subpopulations of both human and mouse NC cells, its presence appears essential neither for tumor initiation nor for maintaining oncogenic transcriptional programs once NC is established. This distinction is particularly important given prior reports linking SOX2 to pluripotency, squamous lineage fidelity, and tumor-initiating potential. Our data suggest that in the context of BRD4::NUTM1 fusion, SOX2 is neither a gatekeeper nor a central node in the core transcriptional circuitry of NC.

From a clinical perspective, these results carry implications for therapeutic targeting. Although SOX2 is a biomarker of interest in various squamous cell cancers and has been proposed as a valuable therapeutic target (15, 50), our study suggests that SOX2-directed therapies are unlikely to be effective in NC, especially as monotherapy. Instead, efforts should focus on directly targeting the fusion oncoprotein or downstream transcriptional and chromatin remodeling dependencies.

In conclusion, our findings demonstrate that SOX2 is not required for BRD4::NUTM1-mediated NC, regardless of the tissue lineage or the developmental context of the cell of origin, at least in mouse models. This underscores the remarkable autonomy of the BRD4::NUTM1 fusion in establishing and maintaining the NC phenotype, challenging prior assumptions about the universal role of SOX2 in NC oncogenesis. Moving forward, it will be critical to identify the core transcriptional and chromatin remodeling dependencies that sustain NC across contexts, and to investigate whether rare SOX2-positive subpopulations contribute to tumor heterogeneity, therapeutic resistance, or recurrence. Finally, we acknowledge several limitations of this study. Our conclusions are based on in vivo mouse models, and species-specific differences in SOX2 function may exist. Although human NC cell studies have shown that SOX2 knockdown reduces colony and tumorsphere formation but has limited effects on proliferation [20], our results indicate that SOX2 is dispensable for tumor initiation and maintenance in mice. In addition, although we examined candidate SOX2 partner genes and found no changes upon Sox2 loss, expression data alone cannot confirm functional interactions. Future studies using human-based models and direct assays of SOX2 partner binding will be important to define potential context-dependent roles. Taken together, our results underscore the autonomy of BRD4::NUTM1 in sustaining the NC phenotype and sharpen the focus on BRD4::NUTM1-directed therapeutic strategies.

Materials and Methods

Ethical statement

All animal work was carried out under PROTO 202300127, approved by the Michigan State University (MSU) Campus Animal Resources (CAR) and Institutional Animal Care and Use Committee (IACUC) in AAALAC-credited facilities.

Mouse lines and breedings

The NUT carcinoma translocator (NCT) model (MMRRC_071753-MU) was generated as previously described (14). Lineage-specific Cre driver lines were used to induce the Brd4::Nutm1-forming t(2; 17) chromosome translocation in defined tissues: KRT14-Cre (JAX 018964) for oral mucosa, skin, and salivary gland (29), Nkx2.1-Cre (JAX 008661) for lung and thyroid NC (51), and Pdx1-Cre (JAX 014647) for pancreatic NC (52). To generate experimental cohorts, NCT mice were crossed with these Cre lines to produce offspring harboring both the Brd4-loxp and Nutm1-loxp alleles and the appropriate Cre transgene. For conditional deletion of Sox2, Sox2fl/fl mice (JAX 013093) were used (53). Sox2fl/fl mice were first crossed with NCT mice to generate NCT+/+; Sox2fl/fl animals. In parallel, Sox2fl/fl mice were bred with lineage-specific Cre drivers (KRT14-Cre or Pdx1-Cre) to generate homozygous Cre+; Sox2fl/fl mice. These two homozygous lines were then intercrossed to produce offspring carrying the Brd4::Nutm1 allele, lineage-specific Cre, and biallelic Sox2 floxed alleles, enabling complete deletion of Sox2 in the target tissue. Genotyping was performed on ear or tail biopsies using PCR with primers specific for the Brd4::Nutm1 fusion allele, Cre transgenes, and floxed Sox2 alleles according to standard protocols. Primer sequences are listed in Table S1.

Table S1. Primer sequences. (16.4KB, xlsx)

In vivo bioluminescence imaging

Mice were injected with D-luciferin sodium solution intraperitoneally (150 mg per kilogram body weight, 15 mg/ml in PBS, GoldBio) 15–20 min before imaging. Bioluminescent images were acquired in both dorsal and ventral positions using the IVIS Spectrum In Vivo Imaging System (PerkinElmer) under isoflurane anesthesia. The total flux (photons/second) within the regions of interest was quantified using Living Image software (PerkinElmer). The mean of the total flux from both dorsal and ventral images was calculated for each mouse and used for generating tumor growth curves.

Tissue preparation and immunohistochemistry

Tissue samples were harvested and fixed in 4% PFA at 4°C for 24 h. Mouse heads were decalcified in 10% EDTA at 4°C for 12–14 d, with the solution replaced every 2 d. Paraffin-embedded tissues were sectioned at 5 μm in serial and stained with hematoxylin–eosin (H&E) or subjected to immunohistochemistry (IHC) using standard procedures. The following primary antibodies were used for IHC analysis: NUTM1 (1:100, HA721690; Huabio), Ki-67 (1: 800, 12202; Cell Signaling Technology), c-MYC (1:500, 10828-1-AP; Proteintech), SOX2 (1:1,000, AF2018; R&D Systems), p63 (1:1,000, ab124762; Abcam). Histopathological evaluation was performed by a board-certified veterinary pathologist (MFT).

Histological quantification

Whole-slide scans were generated using the Zeiss Axioscan 7 or the Aperio VERSA Slide Scanner at 20x. Quantitative analysis of immunoreactivity was conducted using the open-source QuPath software (v0.5.1) (54). For each marker, the “Positive Cell Detection” tool was applied to tumor regions, with manual optimization of parameters including pixel size (optical density sum) and nucleus DAB optical density mean threshold to minimize false-positive detection. All other settings were left at default values. The percentage of marker-positive tumor cells was recorded for each sample.

Bulk RNA-seq

WT and Sox2 knockout (KO) tumors were dissected and immediately submerged in RNAlater (Thermo Fisher Scientific) at 4°C for 24 h, followed by storage at −80°C until library preparation. Total RNA was extracted using RNeasy Mini Kit (QIAGEN) according to the manufacturer’s protocol. One microgram of RNA per sample was subjected to ribosomal RNA (rRNA) depletion and library preparation using the Illumina Stranded Total RNA Prep with Ribo-Zero Plus kit, following the manufacturer’s instructions. Library concentration and size distribution were assessed using the Agilent 4200 TapeStation. Sequencing was performed by St. Jude Children’s Research Hospital, generating ∼50 million paired-end reads per sample.

Gene expression analysis

Raw reads were trimmed with Trim Galore (v0.6.10) with the default parameters. FastQC (v0.12.1) was used for data quality assessment. Trimmed reads were quantified with Kallisto (v0.50.0) (55) using the GENCODE mouse transcriptome (GRCm38, release M23) with settings --rf-stranded -b 100. Transcript-level quantifications were imported into R (v4.3.2) and summarized to gene-level counts using the tximport package (v1.28.0) (56). Differential gene expression analysis was conducted using DESeq2 (57), applying the Wald tests. Genes were filtered to retain those with ≥10 reads in at least two samples. Log2 fold changes (LFCs) were shrunk using the “apeglm” method to improve effect size estimation (58). DEGs were defined as those with |LFC| > 1 and adjusted P < 0.05 (Benjamini–Hochberg correction (59)). GSEA (60) was performed using clusterProfiler (v4.8.2) (61), testing against the MSigDB (Hallmark) (62), Gene Ontology (GO) (63, 64), Reactome (65), and KEGG (66) databases. Genes were ranked by shrunken LFC, and pathways with an adjusted P < 0.05 were considered statistically significantly enriched.

All sequencing data have been deposited in the NCBI Gene Expression Omnibus (GEO) under the accession number GSE300412.

Statistics and reproducibility

Data are presented as means ± SD or median (interquartile range, IQR) and represent a minimum of three independent experiments. Statistical parameters including statistical analysis, statistical significance, and n-values are described in the figure legends. Statistical analyses were carried out using Prism 10 Software (GraphPad). Statistical comparisons of two groups were performed using the two-sided unpaired t test, and comparisons of more than three groups were performed by one-way analysis of variance (ANOVA). Cumulative rates of survival were calculated by the Kaplan–Meier method and compared between groups by the log-rank test. A value of P < 0.05 was considered statistically significant. The presented data are a representative image of more than three biologically independent experiments.

Supplementary Material

Reviewer comments

Acknowledgements

We thank Dr. Ehab Hanna from the MD Anderson Cancer Center and Dr. Diana Bell from the University of Pittsburgh Medical Center for constructive discussions. We thank MSU Histology Laboratory at Veterinary Diagnostic Laboratory (Taylor Vaughn) for their help in histopathology and IHC analysis and the Q-BEAM facility for assistance in slide scanning. We thank the Advanced Technology and Genomics (ATG) Core at the St. Jude Research for assistance in bulk RNA sequencing. This research was supported by an R37 grant (R37CA269076) and an R03 grant (R03CA286646) from the National Institute of Health (NIH)/National Cancer Institute (NCI), both awarded to B Gu.

Author Contributions

  • C Luo: conceptualization, data curation, formal analysis, validation, investigation, visualization, methodology, and writing—review and editing.

  • D Zheng: formal analysis, validation, investigation, visualization, methodology, and writing—review and editing.

  • A Elnegiry: data curation, formal analysis, investigation, and methodology.

  • S Bhatara: software and methodology.

  • GI Mias: methodology and writing—review and editing.

  • MF Tsoi: data curation, formal analysis, visualization, methodology, and writing—review and editing.

  • J Yu: methodology and writing—review and editing.

  • B Gu: conceptualization, data curation, formal analysis, supervision, funding acquisition, validation, investigation, visualization, methodology, project administration, and writing—original draft, review, and editing.

Conflict of Interest Statement

The authors declare that they have no conflict of interest.

Data Availability

The raw and processed RNA-sequencing data have been deposited to Gene Expression Omnibus (GSE300412). All the remaining data are available from the corresponding author upon request.

References

  • 1.French CA (2012) Pathogenesis of NUT midline carcinoma. Annu Rev Pathol 7: 247–265. 10.1146/annurev-pathol-011811-132438 [DOI] [PubMed] [Google Scholar]
  • 2.French CA (2018) NUT carcinoma: Clinicopathologic features, pathogenesis, and treatment. Pathol Int 68: 583–595. 10.1111/pin.12727 [DOI] [PubMed] [Google Scholar]
  • 3.Chau NG, Ma C, Danga K, Al-Sayegh H, Nardi V, Barrette R, Lathan CS, DuBois SG, Haddad RI, Shapiro GI, et al. (2020) An anatomical site and genetic-based prognostic model for patients with nuclear protein in testis (NUT) midline carcinoma: Analysis of 124 patients. JNCI Cancer Spectr 4: pkz094. 10.1093/jncics/pkz094 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bauer DE, Mitchell CM, Strait KM, Lathan CS, Stelow EB, Lüer SC, Muhammed S, Evans AG, Sholl LM, Rosai J, et al. (2012) Clinicopathologic features and long-term outcomes of NUT midline carcinoma. Clin Cancer Res 18: 5773–5779. 10.1158/1078-0432.CCR-12-1153 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Kloker LD, Sidiras M, Flaadt T, Brecht IB, Deinzer CKW, Groß T, Benzler K, Zender L, Lauer UM (2024) Clinical management of NUT carcinoma (NC) in Germany: Analysis of survival, therapy response, tumor markers and tumor genome sequencing in 35 adult patients. Lung Cancer 189: 107496. 10.1016/j.lungcan.2024.107496 [DOI] [PubMed] [Google Scholar]
  • 6.Kroening G, Luo J, Evans MG, Adeyelu T, Ou SHI, Arter ZL, Wise-Draper TM, Sukari A, Azmi AS, Braxton DR, et al. (2024) Multiomic characterization and molecular profiling of nuclear protein in testis carcinoma. JCO Precis Oncol 8: e2400334. 10.1200/PO.24.00334 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Luo J, Bishop JA, Dubois SG, Hanna GJ, Sholl LM, Stelow EB, Thompson LDR, Shapiro GI, French CA (2025) Hiding in plain sight: NUT carcinoma is an unrecognized subtype of squamous cell carcinoma of the lungs and head and neck. Nat Rev Clin Oncol 22: 292–306. 10.1038/s41571-025-00986-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Alekseyenko AA, Walsh EM, Wang X, Grayson AR, Hsi PT, Kharchenko PV, Kuroda MI, French CA (2015) The oncogenic BRD4-NUT chromatin regulator drives aberrant transcription within large topological domains. Genes Dev 29: 1507–1523. 10.1101/gad.267583.115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Alekseyenko AA, Walsh EM, Zee BM, Pakozdi T, Hsi P, Lemieux ME, Dal Cin P, Ince TA, Kharchenko PV, Kuroda MI, et al. (2017) Ectopic protein interactions within BRD4-chromatin complexes drive oncogenic megadomain formation in NUT midline carcinoma. Proc Natl Acad Sci U S A 114: E4184–E4192. 10.1073/pnas.1702086114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Filippakopoulos P, Qi J, Picaud S, Shen Y, Smith WB, Fedorov O, Morse EM, Keates T, Hickman TT, Felletar I, et al. (2010) Selective inhibition of BET bromodomains. Nature 468: 1067–1073. 10.1038/nature09504 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Morrison-Smith CD, Knox TM, Filic I, Soroko KM, Eschle BK, Wilkens MK, Gokhale PC, Giles F, Griffin A, Brown B, et al. (2020) Combined targeting of the BRD4-NUT-p300 Axis in NUT midline carcinoma by dual selective Bromodomain inhibitor, NEO2734. Mol Cancer Ther 19: 1406–1414. 10.1158/1535-7163.MCT-20-0087 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Eagen KP, French CA (2021) Supercharging BRD4 with NUT in carcinoma. Oncogene 40: 1396–1408. 10.1038/s41388-020-01625-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Durall RT, Huang J, Wojenski L, Huang Y, Gokhale PC, Leeper BA, Nash JO, Ballester PL, Davidson S, Shlien A, et al. (2023) The BRD4-NUT fusion alone drives malignant transformation of NUT carcinoma. Cancer Res 83: 3846–3860. 10.1158/0008-5472.CAN-23-2545 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Zheng D, Elnegiry AA, Luo C, Bendahou MA, Xie L, Bell D, Takahashi Y, Hanna E, Mias GI, Tsoi MF, et al. (2024) Brd4::Nutm1 fusion gene initiates NUT carcinoma in vivo. Life Sci Alliance 7: e202402602. 10.26508/lsa.202402602 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Zhang SZ, Xiong XF, Sun Y (2020) Functional characterization of SOX2 as an anticancer target. Signal Transduct Target Ther 5: 135. 10.1038/s41392-020-00242-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Sarkar A, Hochedlinger K (2013) The sox family of transcription factors: Versatile regulators of stem and progenitor cell fate. Cell Stem Cell 12: 15–30. 10.1016/j.stem.2012.12.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Porter L, McCaughan F (2020) SOX2 and squamous cancers. Semin Cancer Biol 67: 154–167. 10.1016/j.semcancer.2020.05.007 [DOI] [PubMed] [Google Scholar]
  • 18.Boumahdi S, Driessens G, Lapouge G, Rorive S, Nassar D, Le Mercier M, Delatte B, Caauwe A, Lenglez S, Nkusi E, et al. (2014) SOX2 controls tumour initiation and cancer stem-cell functions in squamous-cell carcinoma. Nature 511: 246–250. 10.1038/nature13305 [DOI] [PubMed] [Google Scholar]
  • 19.Liu K, Jiang M, Lu Y, Chen H, Sun J, Wu S, Ku WY, Nakagawa H, Kita Y, Natsugoe S, et al. (2013) Sox2 cooperates with inflammation-mediated Stat3 activation in the malignant transformation of foregut basal progenitor cells. Cell Stem Cell 12: 304–315. 10.1016/j.stem.2013.01.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Wang R, Liu W, Helfer CM, Bradner JE, Hornick JL, Janicki SM, French CA, You J (2014) Activation of SOX2 expression by BRD4-NUT oncogenic fusion drives neoplastic transformation in NUT midline carcinoma. Cancer Res 74: 3332–3343. 10.1158/0008-5472.CAN-13-2658 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ramesh U, Contrera KJ, Shakibai N, Su SY, Brahimaj B, Roberts D, Williams MD, Ferrarotto R, Phan J, Gunn GB, et al. (2024) Sinonasal NUT carcinoma: A consecutive case series and systematic review. Head Neck 46: 29–36. 10.1002/hed.27553 [DOI] [PubMed] [Google Scholar]
  • 22.Liang Z, Tang Y, Li C, Xie G, Chen M, Zhou P, Li M, Wang Y, Yu X, Tang Y, et al. (2024) Oral and oropharyngeal NUT carcinoma: A multicentre screening study of poorly differentiated oral cancer. Histopathology 85: 868–878. 10.1111/his.15245 [DOI] [PubMed] [Google Scholar]
  • 23.Barletta JA, Gilday SD, Afkhami M, Bell D, Bocklage T, Boisselier P, Chau NG, Cipriani NA, Costes-Martineau V, Ghossein RA, et al. (2022) NUTM1 -rearranged carcinoma of the thyroid: A distinct subset of NUT carcinoma characterized by frequent NSD3 - NUTM1 fusions. Am J Surg Pathol 46: 1706–1715. 10.1097/PAS.0000000000001967 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Shehata BM, Steelman CK, Abramowsky CR, Olson TA, French CA, Saxe DF, Ricketts RR, Katzenstein HM (2010) NUT midline carcinoma in a newborn with multiorgan disseminated tumor and a 2-year-old with a pancreatic/hepatic primary. Pediatr Dev Pathol 13: 481–485. 10.2350/09-10-0727-CR.1 [DOI] [PubMed] [Google Scholar]
  • 25.Sun H, McGuire MF, Zhang S, Brown RE (2015) NUT midline carcinoma: Morphoproteomic characterization with genomic and therapeutic correlates. Ann Clin Lab Sci 45: 692–701. [PubMed] [Google Scholar]
  • 26.Prall OWJ, Thio N, Yerneni S, Kumar B, McEvoy CR (2021) A NUT carcinoma lacking squamous differentiation and expressing TTF1. Pathology 53: 663–666. 10.1016/j.pathol.2020.09.027 [DOI] [PubMed] [Google Scholar]
  • 27.Stirnweiss A, Oommen J, Kotecha RS, Kees UR, Beesley AH (2017) Molecular-genetic profiling and high-throughput in vitro drug screening in NUT midline carcinoma-an aggressive and fatal disease. Oncotarget 8: 112313–112329. 10.18632/oncotarget.22862 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Que J, Luo X, Schwartz RJ, Hogan BL (2009) Multiple roles for Sox2 in the developing and adult mouse trachea. Development 136: 1899–1907. 10.1242/dev.034629 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Dassule HR, Lewis P, Bei M, Maas R, McMahon AP (2000) Sonic hedgehog regulates growth and morphogenesis of the tooth. Development 127: 4775–4785. 10.1242/dev.127.22.4775 [DOI] [PubMed] [Google Scholar]
  • 30.Arnold K, Sarkar A, Yram MA, Polo JM, Bronson R, Sengupta S, Seandel M, Geijsen N, Hochedlinger K (2011) Sox2(+) adult stem and progenitor cells are important for tissue regeneration and survival of mice. Cell Stem Cell 9: 317–329. 10.1016/j.stem.2011.09.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Driskell RR, Giangreco A, Jensen KB, Mulder KW, Watt FM (2009) Sox2-positive dermal papilla cells specify hair follicle type in mammalian epidermis. Development 136: 2815–2823. 10.1242/dev.038620 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Lee SH, Oh SY, Do SI, Lee HJ, Kang HJ, Rho YS, Bae WJ, Lim YC (2014) SOX2 regulates self-renewal and tumorigenicity of stem-like cells of head and neck squamous cell carcinoma. Br J Cancer 111: 2122–2130. 10.1038/bjc.2014.528 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Ji J, Yu Y, Li ZL, Chen MY, Deng R, Huang X, Wang GF, Zhang MX, Yang Q, Ravichandran S, et al. (2018) XIAP limits autophagic degradation of Sox2 and is a therapeutic target in nasopharyngeal carcinoma stem cells. Theranostics 8: 1494–1510. 10.7150/thno.21717 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Bass AJ, Watanabe H, Mermel CH, Yu SY, Perner S, Verhaak RG, Kim SY, Wardwell L, Tamayo P, Gat-Viks I, et al. (2009) SOX2 is an amplified lineage-survival oncogene in lung and esophageal squamous cell carcinomas. Nat Genet 41: 1238–1242. 10.1038/ng.465 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Du LT, Yang YM, Xiao XY, Wang CX, Zhang XH, Wang LL, Zhang X, Li W, Zheng GX, Wang S, et al. (2011) Sox2 nuclear expression is closely associated with poor prognosis in patients with histologically node-negative oral tongue squamous cell carcinoma. Oral Oncol 47: 709–713. 10.1016/j.oraloncology.2011.05.017 [DOI] [PubMed] [Google Scholar]
  • 36.Henick BS, Taylor AM, Nakagawa H, Wong KK, Diehl JA, Rustgi AK (2025) Squamous cell cancers of the aero-upper digestive tract: A unified perspective on biology, genetics, and therapy. Cancer Cell 43: 178–194. 10.1016/j.ccell.2025.01.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Watanabe H, Ma QP, Peng SY, Adelmant G, Swain D, Song WY, Fox C, Francis JM, Pedamallu CS, DeLuca DS, et al. (2014) SOX2 and p63 colocalize at genetic loci in squamous cell carcinomas. J Clin Invest 124: 1636–1645. 10.1172/Jci71545 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Mukhopadhyay A, Berrett KC, Kc U, Clair PM, Pop SM, Carr SR, Witt BL, Oliver TG (2014) Sox2 cooperates with Lkb1 loss in a mouse model of squamous cell lung cancer. Cell Rep 8: 40–49. 10.1016/j.celrep.2014.05.036 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Ferone G, Song JY, Sutherland KD, Bhaskaran R, Monkhorst K, Lambooij JP, Proost N, Gargiulo G, Berns A (2016) SOX2 is the determining oncogenic switch in promoting lung squamous cell carcinoma from different cells of origin. Cancer Cell 30: 519–532. 10.1016/j.ccell.2016.09.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Bae SH, Lee KY, Han S, Yun CW, Park C, Jang H (2024) SOX2 expression does not guarantee cancer stem cell-like characteristics in lung adenocarcinoma. Cells 13: 216. 10.3390/cells13030216 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Nakatsugawa M, Takahashi A, Hirohashi Y, Torigoe T, Inoda S, Murase M, Asanuma H, Tamura Y, Morita R, Michifuri Y, et al. (2011) SOX2 is overexpressed in stem-like cells of human lung adenocarcinoma and augments the tumorigenicity. Lab Invest 91: 1796–1804. 10.1038/labinvest.2011.140 [DOI] [PubMed] [Google Scholar]
  • 42.Novak D, Hüser L, Elton JJ, Umansky V, Altevogt P, Utikal J (2020) SOX2 in development and cancer biology. Semin Cancer Biol 67: 74–82. 10.1016/j.semcancer.2019.08.007 [DOI] [PubMed] [Google Scholar]
  • 43.Herreros-Villanueva M, Zhang JS, Koenig A, Abel EV, Smyrk TC, Bamlet WR, de Narvajas AA, Gomez TS, Simeone DM, Bujanda L, et al. (2013) SOX2 promotes dedifferentiation and imparts stem cell-like features to pancreatic cancer cells. Oncogenesis 2: e61. 10.1038/oncsis.2013.23 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Murakami S, Nemazanyy I, White SM, Chen H, Nguyen CDK, Graham GT, Saur D, Pende M, Yi C (2019) A Yap-Myc-Sox2-p53 regulatory network dictates metabolic homeostasis and differentiation in Kras-driven pancreatic ductal adenocarcinomas. Dev Cell 51: 113–128.e9. 10.1016/j.devcel.2019.07.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Wang H, Xie J (2018) The role of SOX2 in angiogenesis in breast cancer. Int J Clin Exp Pathol 11: 2805–2810. [PMC free article] [PubMed] [Google Scholar]
  • 46.Li Y, Lv Z, He G, Wang J, Zhang X, Lu G, Ren X, Wang F, Zhu X, Ding Y, et al. (2015) The SOX17/miR-371-5p/SOX2 axis inhibits EMT, stem cell properties and metastasis in colorectal cancer. Oncotarget 6: 9099–9112. 10.18632/oncotarget.3603 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Lundberg IV, Löfgren Burström A, Edin S, Eklöf V, Öberg Å, Stenling R, Palmqvist R, Wikberg ML (2014) SOX2 expression is regulated by BRAF and contributes to poor patient prognosis in colorectal cancer. PLoS One 9: e101957. 10.1371/journal.pone.0101957 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Vanner RJ, Remke M, Gallo M, Selvadurai HJ, Coutinho F, Lee L, Kushida M, Head R, Morrissy S, Zhu X, et al. (2014) Quiescent sox2(+) cells drive hierarchical growth and relapse in sonic hedgehog subgroup medulloblastoma. Cancer Cell 26: 33–47. 10.1016/j.ccr.2014.05.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Singh SK, Clarke ID, Hide T, Dirks PB (2004) Cancer stem cells in nervous system tumors. Oncogene 23: 7267–7273. 10.1038/sj.onc.1207946 [DOI] [PubMed] [Google Scholar]
  • 50.Yin Y, Xie CM, Li H, Tan MJ, Chen GA, Schiff R, Xiong XF, Sun Y (2019) The FBXW2-MSX2-SOX2 axis regulates stem cell property and drug resistance of cancer cells. Proc Natl Acad Sci U S A 116: 20528–20538. 10.1073/pnas.1905973116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Xu Q, Tam M, Anderson SA (2008) Fate mapping Nkx2.1-lineage cells in the mouse telencephalon. J Comp Neurol 506: 16–29. 10.1002/cne.21529 [DOI] [PubMed] [Google Scholar]
  • 52.Hingorani SR, Petricoin EF, Maitra A, Rajapakse V, King C, Jacobetz MA, Ross S, Conrads TP, Veenstra TD, Hitt BA, et al. (2003) Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse. Cancer Cell 4: 437–450. 10.1016/s1535-6108(03)00309-x [DOI] [PubMed] [Google Scholar]
  • 53.Shaham O, Smith AN, Robinson ML, Taketo MM, Lang RA, Ashery-Padan R (2009) Pax6 is essential for lens fiber cell differentiation. Development 136: 2567–2578. 10.1242/dev.032888 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Bankhead P, Loughrey MB, Fernández JA, Dombrowski Y, McArt DG, Dunne PD, McQuaid S, Gray RT, Murray LJ, Coleman HG, et al. (2017) QuPath: Open source software for digital pathology image analysis. Sci Rep 7: 16878. 10.1038/s41598-017-17204-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Bray NL, Pimentel H, Melsted P, Pachter L (2016) Near-optimal probabilistic RNA-seq quantification. Nat Biotechnol 34: 525–527. 10.1038/nbt.3519 [DOI] [PubMed] [Google Scholar]
  • 56.Soneson C, Love MI, Robinson MD (2015) Differential analyses for RNA-seq: Transcript-level estimates improve gene-level inferences. F1000Res 4: 1521. 10.12688/f1000research.7563.2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Love MI, Huber W, Anders S (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 15: 550. 10.1186/s13059-014-0550-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Zhu A, Ibrahim JG, Love MI (2019) Heavy-tailed prior distributions for sequence count data: Removing the noise and preserving large differences. Bioinformatics 35: 2084–2092. 10.1093/bioinformatics/bty895 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: A practical and powerful approach to multiple testing. J R Stat Soc Ser B 57: 289–300. 10.1111/j.2517-6161.1995.tb02031.x [DOI] [Google Scholar]
  • 60.Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES, et al. (2005) Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A 102: 15545–15550. 10.1073/pnas.0506580102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Yu GC, Wang LG, Han YY, He QY (2012) clusterProfiler: An R Package for comparing biological themes among gene clusters. Omics 16: 284–287. 10.1089/omi.2011.0118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Liberzon A, Birger C, Thorvaldsdóttir H, Ghandi M, Mesirov JP, Tamayo P (2015) The molecular signatures database (MSigDB) hallmark gene set collection. Cell Syst 1: 417–425. 10.1016/j.cels.2015.12.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, et al. (2000) Gene ontology: Tool for the unification of biology. The gene ontology consortium. Nat Genet 25: 25–29. 10.1038/75556 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Gene Ontology Consortium, Aleksander SA, Balhoff J, Carbon S, Cherry JM, Drabkin HJ, Ebert D, Feuermann M, Gaudet P, Harris NL, et al. (2023) The gene ontology knowledgebase in 2023. Genetics 224: iyad031. 10.1093/genetics/iyad031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Vastrik I, D’Eustachio P, Schmidt E, Gopinath G, Croft D, de Bono B, Gillespie M, Jassal B, Lewis S, Matthews L, et al. (2007) Reactome: A knowledge base of biologic pathways and processes. Genome Biol 8: R39. 10.1186/gb-2007-8-3-r39 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Kanehisa M (1997) A database for post-genome analysis. Trends Genet 13: 375–376. 10.1016/s0168-9525(97)01223-7 [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Table S1. Primer sequences. (16.4KB, xlsx)

Reviewer comments

Data Availability Statement

The raw and processed RNA-sequencing data have been deposited to Gene Expression Omnibus (GSE300412). All the remaining data are available from the corresponding author upon request.


Articles from Life Science Alliance are provided here courtesy of Life Science Alliance LLC

RESOURCES