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. Author manuscript; available in PMC: 2026 Jan 17.
Published in final edited form as: Cancer Lett. 2025 Mar 22;619:217647. doi: 10.1016/j.canlet.2025.217647

Targeting mitochondrial ribosomal protein expression by andrographolide and melatonin for colon cancer treatment

Advaitha Midde a,#, Navpreet Arri a,#, Tibor Kristian b,c, Suprabhat Mukherjee d, Parth Sarthi Sen Gupta e, Yuji Zhang f, Mariuz Karbowski g, Jaylyn Waddell a, Nagarajan Maharajan g,h, Md Sazzad Hassan i,j, Heather M O’Hagan k,l,m, Michal Zalzman g,h, Aditi Banerjee a,n,*
PMCID: PMC12810355  NIHMSID: NIHMS2126609  PMID: 40127816

Abstract

Colospheroids contain colon cancer stem cells (CSCs) that cause colorectal cancer metastasis (mCRC). Colorectal cancer (CRC) is the second leading cause of cancer-related deaths in the U.S. Little is known about the role of mitochondria in the survival and metastatic ability of CSCs. In this study, we investigate the effect of andrographolide (AGP) and melatonin (MLT) on mitochondrial dynamics (including fusion and fission) and the expression of mitochondrial ribosomal proteins (MRPs). Our results show that AGP and MLT synergistically reduce the total active mitochondrial mass, downregulate fusion and fission proteins, reduce OXPHOS proteins, and lead to CSC growth inhibition via Nrf2 and KEAP1 signaling. Microarray revealed 4389 differentially expressed mRNAs in the AGP and MLT combination compared to the control. Results exhibiting a three-fold induction/reduction were validated by qRT-PCR and immunoblot. MRPS6, a mitochondrial ribosomal (Mitoribosome) small subunit protein, was dramatically downregulated by AGP + MLT treatment compared to control. MRPS6 inhibition by siRNA reduced mCRC cell viability. Molecular docking-based protein-ligand interactions showed that AGP has direct physical interaction with MRPS6 and increases the binding affinity of MLT to MRPS6. This drug combination downregulated genes in the NRF2 (NFE2L2) pathway in CSCs. MRPS6 may be directly linked to CSC proliferation and could be a therapeutic target for this population. Functionally, MRPS6 knockdown significantly reduced colony formation, with enhanced suppression in AGP + MLT-treated cells. In xenograft models, the AGP-MLT combination synergistically decreased MRPS6 expression and increased apoptosis, as evidenced by TUNEL assays, demonstrating the therapeutic potential of targeting MRPS6 in CRC.

Keywords: Mitochondrial dynamics, Fusion-fission protein, Mitochondrial mass, Mitochondrial ribosomal protein, Andrographolide, Melatonin, Colospheroids (3D spheroids culture model), Colon cancer stem cells

1. Introduction

Colon cancer stem cells (CSCs) drive metastatic colorectal cancer (mCRC), the second leading cause of U.S. cancer deaths, with about 53,000 annual fatalities. [1,2]. The combination of andrographolide (AGP) and melatonin (MLT) demonstrated potent anti-cancer effects across various colorectal cancer models. This synergistic therapy reduced stemness, colony formation, angiogenesis, and tumor growth while increasing reactive oxygen species (ROS) production and apoptosis. [3,4]. The broad efficacy of combination of AGP and MLT across cancer stages indicates it disrupts key cellular processes, impairing cancer cell survival and adaptation in multiple microenvironments.

Active mitochondrial mass is associated with cancer progression, including CRC [5]. Notably, mitochondrial dynamics and mitochondrial ribosomal proteins (MRPs) play a significant role in influencing CRC metastasis, drug resistance, and CSC survival [6,7]. Enhanced mitochondrial fission in CRC cells drives metabolic changes, promoting proliferation, metastasis, and chemoresistance, while extreme fission can induce apoptosis [5]. Additionally, mitochondrial dysfunction impacts cellular energy production and signaling pathways associated with mCRC progression [5,8]. Dynamin family proteins regulate mitochondrial dynamics. Dynamin-related protein 1 (Drp1) and mitochondrial fission 1 (FIS1) primarily mediate fission, while fusion depends on mitofusion (Mfn1, Mfn2), and optic atrophy (OPA1). DRP1 phosphorylation and expression levels are key in controlling mitochondrial fission and fusion [9,10]. Moreover, Glycoprotein nonmetastatic melanoma protein B (GPNMB) is overexpressed in various types of tumors and is associated with invasion and metastasis [11,12]. Therefore, targeting mitochondrial dynamics offers a promising therapeutic approach for mCRC. This strategy’s potential stems from its crucial role in cellular energy production and signaling pathways that drive cancer progression [5].

Cells activate NF-E2-related factor 2 (Nrf2) to maintain redox balance during oxidative stress, allowing it to regulate antioxidant genes after being released from its inhibitor Kelch-like ECH-associated protein 1 (Keap1) [13]. Mitochondrial ROS activate Nrf2, often via protein kinases, inducing antioxidant genes and mitochondrial quality control. Many nuclear-encoded mitochondrial ribosomal proteins (MRPs) are crucial for proper organelle function [14]. Mitochondrial translation defects involving these proteins can cause severe diseases, often due to mutations in the translation machinery components.

Our study uses dual drug treatment to investigate the understudied role of mitochondrial dynamics and regulatory proteins in CSCs. We observed reduced mitochondrial mass, altered fusion/fission protein expression, and differential expression of 4389 mRNAs. Notably, 37 mitochondrial ribosomal proteins (MRPs) are overexpressed in CSCs, while MRPS6, a mitoribosome small subunit polypeptide [15] is significantly downregulated by AGP + MLT. Using siMRPS6 technology, we demonstrate that modulation of MRPS6 translational levels impacts CRC cells proliferation.

2. Materials and methods

2.1. CRC cells, organoids culture and drug treatment

HT29, HCT-15, HCT-116, normal colon epithelial cells (FHC), and spheroids from HT-29 and HCT-15 were cultured as previously described [4,8,16]. Human tonsillar biopsy-derived mesenchymal stem cell (T-MSC) were generated as previously described [17]. Cells and organoids were treated with 9.3 μM AGP and 0.18 mM MLT for 48 h [4].

2.2. Ethics statement

All de-identified mCRC tissues were received from the surgery of colon cancer patients with the approval of the University of Maryland Institutional Review Board (HP-00066889–4). Written consent was obtained from all patients from whom discarded tissue was collected which included permission to publish results. A small piece of each tumor tissue was frozen for subsequent analysis [3].

2.3. Detection of mitochondrial impact on colospheroids

HT29 cells (0.3X104) were seeded on poly-L-Lysine coated four chambered slides using colospheroids media [4] and incubated at 37 °C in a 5 % CO2. After 48 h of treatment with AGP (9.3 μM) and MLT (0.18 mM), spheroids were washed with PBS and incubated with 25 nM mitochondrial dye (#M7512) for 30 min and DAPI for 15 min. The spheroids were then formaldehyde-fixed (4 %) and permeabilized with 0.1 % Triton-X for 10 min Keyence Fluorescence microscopy was used to take the images with 200× magnification.

2.4. Immunoblotting

After drug treatment for 48 h HT-29s were harvested as described earlier [18]. Images were captured using Syngene G Box digital imager (Frederick, MD) and results were quantified with densitometry as previously described [19]. All uncropped original immunoblots are in Supplementary Fig. 1.

2.5. Subcutaneous tumor xenografts and orthotopic implantation

Subcutaneous tumor xenograft experiments were approved by the Institutional Animal Care and Use Committee (IACUC) of the University of Notre Dame (protocol 18-09-4843) and performed as described earlier [4]. Colorectal cancer cells (HT-29) and patient-derived organoids were orthotopically engrafted in the colons of NSG mice as described previously [20] and approved by the Indiana University Bloomington IACUC (protocol 24–018). Tumor tissue sections from xenograft and orthotopic models were processed for immunohistochemical and immunofluorescence analyses using antibodies (supplementary Table II).

2.6. Apoptosis analysis

Treated (AGP, MLT alone or in combination) and untreated formalin-fixed, paraffin-embedded tumor xenograft tissue sections (sectioned at five μm thickness), were analyzed for apoptosis using the TUNEL assay kit (Roche # 11684795910) [21]. The details of the TUNEL assay are described in Supplementary documents.

2.7. Immunofluorescence and imaging

HT29-s (~8000 spheroids) were grown on poly-L-Lysine (0.01 %) coated coverslips. Immunofluorescence was performed in treated and untreated spheroids and xenograft tissue sections as described [8]. Anti-phospho DRP1 (1:100), and anti-MRPS6 (1:50) antibodies were used for overnight incubation at 4 °C. Alexa Flour 488 labeled goat anti-mouse IgG (H + L) (1:300) (Invitrogen; A11029) and DAPI were used. Keyence Fluorescence microscopy was used to take images with 20X and 40× magnification.

2.8. Immunohistochemistry

Immunohistochemistry was performed to detect MRPS6 expression in treated and untreated xenograft tissues, as well as in orthotopic tissue sections, following the protocol described earlier [22,23]. Details of the antibodies used are provided in the supplementary documents.

2.9. Microarray analysis

Microarray analysis was performed at the UMBSOM Genomics Core facility. Total RNA from treated and untreated HT-29 cells was isolated, purified, and quantified using Nanodrop ND-1000 [24]. Pathway analysis was conducted using the Reactome server. (https://reactome.org/PathwayBrowser/). A heatmap of the top 40 differentially expressed genes was created using the Heat Mapper server, applying average linkage clustering and Euclidean distance methods (http://www.heatmapper.ca/).

2.10. In-silico analysis of oncogenic significance of MRPS6 in CRC

Human MRPS6 protein was studied in silico for its chromosomal location (https://www.genecards.org/), native structure (https://alphafold.ebi.ac.uk/).

2.11. Quantitative real-time polymerase chain reaction (qRT-PCR)

Gene expression was evaluated as described in Ref. [25]. Primer sequences are listed in Supplementary Table III.

2.12. MRPS6 depletion, cell viability and clonogenic assay

Plasmid for MRPS6 depletion, siRNA specific for the MRPS6 gene and a proprietary universal negative control siRNA that does not target any known gene were purchased from Sigma Aldrich (#EHU002721 and #SIC001 respectively). The MRPS6 siRNA is a mixture of siRNA sequences prepared from an enzymatic digestion of MRPS6 cDNA. HCT-116 cells were transfected with siRNA oligonucleotides using lipofectamine 3000 (Invitrogen, USA) according to the manufacturer’s recommendations. Briefly, log phase HCT116 cells (75 % confluency) were transfected with 1 μg siRNA in serum free 100 μl media as instructed. Cells were analyzed for gene and protein expression at 24 and 48 h post transfection. MRPS6 depletion was validated by qRT-PCR or immunoblot for gene and protein expression respectively. Cell viability assay was performed as described earlier [8].

2.13. Study of biophysical interactions of AGP and MLT with MRPS6

3D structures of MRPS6 were retrieved from the Protein Data Bank (PDB; ID: 3J9M) and the association of unwanted water molecules, co-crystallized ligands, and undesired heteroatoms were eliminated, and missing residues were built using MODELLER9.19. Structures of AGP and MLT were retrieved from Drug bank (https://go.drugbank.com/), energy-optimized using semi-empirical methods, and subjected to molecular docking using Autodock software and visualized using Discovery Studio 4.5 following our earlier study [26]. The stability of the ligand-protein complexes was studied by Molecular Dynamics (MD) simulations using GROMACSv2022 (Groningen Machine for Chemical Simulations) and binding free energy was calculated following an earlier report [27].

2.14. Statistical analysis

Statistical analysis was performed with Graph Pad Prism for Macintosh 5.0c (Graph Pad Software Inc., San Diego, CA). Data obtained for all in vitro studies were analyzed using one-way ANOVA. Significance between groups was analyzed using the post hoc Tukey’s test and Bonferroni test. P values were considered significant if they were less than 0.05 and are indicated throughout using asterisks: * = P < 0.05, ** = P < 0.01, ***P < 0.001.

3. Results

3.1. AGP and MLT synergism reduces the total mass of active mitochondria and impacts mitochondrial dynamics protein in colospheroids

Our previous study has demonstrated that treatment of CSCs with AGP and MLT diminished stemness, reduced mitochondrial membrane potential, and ATP levels via oxidative stress [4]. Mitochondrial mass is associated with cancer cell viability [27]. Here we first visualized active mitochondria using mitotracker red. The results showed a loss of active mitochondria in the dual treated group compared with the untreated and the single drug treatment (Fig. 1AB, p < 0.01). Alterations in mitochondrial dynamics (fusion and fission) contribute to malignant progression [28]. Mitochondrial fusion involves outer membrane fusion regulated by mitofusins (MFN1 and MFN2) and inner membrane fusion controlled by OPA1 protein. Additionally, mitochondrial fission process is primarily coordinated by dynamin-related protein 1 (Drp1), which is recruited to the outer membrane following phosphorylation (p-Drp1) [29]. To explore the effects of synergistic treatment with AGP and MLT on CSCs mitochondrial dynamics, HT29 spheroid lysates were used to determine the MFN1, MFN2, OPA1 and p-Drp1 protein levels. MFN1, OPA1, and pDrp1 protein levels were significantly downregulated in the combinational treatment group compared to the untreated or single treatment groups (Fig. 1C 1st, 3rd lane, 1D, F, 1GH, p < 0.01). There was no significant change for MFN2 protein level (Fig. 1C 2nd lane, E). GPNMB is crucial for mitochondrial function and mitophagy; its disruption leads to mitochondrial dysfunction and increased ROS production [30]. Fig. 1IJ demonstrate significant decreased GPNMB expression (P < 0.05) by MLT alone and in drug combination group.

Fig. 1.

Fig. 1.

Impact AGP-MLT on mitochondrial mass, fusion and fission proteins expression. HT29 cells were used for CSC development. Cells were grown in RPMI media supplemented with a 1X solution of antimicrobial reagents (10,000 U/ml penicillin, 10,000 streptomycin, and 25 μg/ml amphotericin B) and 1X glutamine. Mature CSCs were treated with or without IC50 dose, AGP (9.3 μM), and MLT (0.18 mM) at 48 h. (A) HT29-s were grown on poly-L-Lysine coated coverslips to detect the mitochondrial mass using MitoTracker’s fluorescence as indicated, phase contrast image, Mito tracker Red, Hoechst dye, and overlay of Mito Tracker and Hoechst dye (Magnification:×20, ×40 and scale bar 200 μm). (B) Histogram represents the mitochondrial mass fluorescence intensity. (C) Immunoblots from treated or untreated CSC extracts were used to monitor mitochondrial fusion protein expression. GAPDH was used as a loading control. The C panel is a representative photograph from an experiment repeated three times. Quantification of (D) MFN1, (E) MFN2, (F) OPA1. (G) phospho DRP-1 protein expression was evaluated by confocal microscopy. Nuclei were stained using Hoechst dye. (H) Fluorescence intensity was determined and compared with untreated CSCs. (I) Immunoblot for GPNMB protein expression and (J) quantify by densitometry. Statistical significance was determined by one way-Anova analysis of variance followed by the Bonferroni test (*p<0.05, **p<0.01, ***p<0.001). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

3.2. AGP + MLT leads to OXPHOS inhibition, and colospheroids death via Nrf2 and KEAP1 signaling

Oxidative phosphorylation (OXPHOS) activity is regulated by energy demands during tumor initiation and metastasis [31]. We analyzed OXPHOS protein levels in HT-29 cell lysates to determine the synergistic effect of AGP and MLT treatment. Our results demonstrated a significant reduction of OXPHOS complex II-V (*p < 0.5 -**p < 0.01) in the dual treatment group when compared with the single or untreated group (Fig. 2AF, p<0.05-p<0.01).

Fig. 2.

Fig. 2.

AGP-MLT induces OXPHOS inhibition and impacts on NRF2 signal. (A) Immunoblot analysis of treated or untreated HT29-s extracts as indicated and (B)-quantification of CV-ATP5A (~54 kDa), (C) CIV-UQCRC2 (~48 kDa), (D) CIII-MTC01 (~40 kDa), (E) CII-SDHB (30 kDa), and (F) CI-NDUFBB (20 kDa) of OXPHOS. (G) Treated/untreated HT29-s lysates were subjected for protein expression as indicated. Indicated proteins were normalized with GAPDH (H–J). All statistically significant differences were determined using one-way analysis of variance followed Bonferroni test (*p<0.05, **p<0.001).

NRF2 (NFE2R2) is a transcription factor that regulates mitochondrial biogenesis, quality control, and the expression of cytoprotective genes, including antioxidant proteins [32]. Therefore, Nrf2 inhibitors can be applied as anticancer agents. In this study, NRF2 is inhibited following single or dual drug treatment (Fig. 2G 1st lane and H). The NRF2/KEAP1 signaling pathway can modulate proliferation of cancer cells and tumorigenesis through metabolic reprogramming [33]. Our data revealed significant downregulation of KEAP1 protein expression in the HT29s lysates (Fig. 2G 2nd lane and I). Moreover, Parkin interacts with the NRF2/KEAP1 pathway and initiates mitophagy [34], which is crucial for cellular defense against oxidative stress [35]. Our results demonstrated an upregulated Parkin expression in the treated group compared with the untreated group (Fig. 2G 4th lane and J). These results indicated that colospheroids inhibition is associated with reduced OXPHOS protein levels and Nrf2/KEAP signals.

3.3. Synergistic effect on downregulation of NRF2 activity and its downstream regulation on antioxidant pathways

We then analyzed mRNA levels in colospheroids to determine how AGP and MLT treatment affects gene expression profiles in CSCs. As shown in Fig. 3A shows that 255 mRNAs were differentially expressed in the control vs AGP group, 374 mRNAs in the control vs MLT group, and 45 mRNAs overlapped between the AGP-MLT groups. Additionally, 4389 mRNAs were differentially expressed in the control vs combination group. This differential gene expression suggested that single and combinatorial treatments had different effects on mRNAs profile, causing modulation of distinct molecular mechanisms.

Fig. 3.

Fig. 3.

Overlap of genes differentially expressed in treated and untreated groups. (A). Venn diagram shows the differentially expressed genes from four group comparisons as indicated (untreated; AGP; MLT; combination of AGP & MLT) to identify unique genes in each dataset. 4389 mRNAs were differentially expressed in the combination group/versus control. Only 88 genes are shared with all groups. (B) Downregulation of NFE2L2-Regulated Antioxidant and Detoxification Pathway in CSCs treated with AGP and MLT. Flowchart illustrates the NFE2L2 (NRF2) antioxidant and detoxification pathway and its downstream cytoprotective targets. Genes highlighted in yellow were significantly downregulated following treatment with AGP and MLT. (C) Heat map showing the expression of MRPS6 and other top influential regulatory CRC genes. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Our microarray data show that treatment with AGP and MLT led to downregulation of (11 out of 39) NRF2-regulated genes in CSCs (Fig. 3B) which is consistent with Fig. 2GH. NRF2 is activated by reactive oxygen species (ROS) that induces genes involved in phase 2 detoxification (e.g., GSTs and the glutathione system), ROS scavenging (e.g., SODs, PRDX1), and cytoprotection (e.g., HO1), which help regulate oxidative stress. By suppressing the expression of these genes, AGP and MLT reduce antioxidant capacity, potentially making CSCs more vulnerable to oxidative damage. These findings suggest that AGP and MLT could sensitize CSCs to oxidative stress, further highlighting these drugs as therapeutic strategy to target these resilient cell populations. Furthermore, NRF2 regulates Pentose Phosphate pathway genes, aiding cellular adaptation to oxidative stress and contributing to cancer progression [32,36]. Our data show that 7 out of 15 genes in this pathway are downregulated, suggesting a further adverse effect on the ability of the cells to react to oxidative stress (Suppl. Fig. 2). Moreover, genome-wide transcriptomic profiling identified an increased number of mitochondrial genes affected by combinatorial treatment of CSCs (Supplementary additional file). Furthermore, the heatmap of the top 40 differentially expressed and/or expressed genes along with MRPS6 is shown in Fig. 3C that indicates that the expressions of the genes of interest are majorly perturb in AGP and MLT treated spheroids.

3.4. Validation of gene and protein signature in treated and untreated colon spheroids

The gene expression found in microarray analyses were validated using qRT-PCR. We chose genes with ≥3-fold change in expression in treated versus control group and associated with mitochondria. Among the genes that were 3-fold downregulated by AGP-MLT treatment, we chose gdap1 (ganglioside induced differentiation associated protein 1), which is involved in regulation of mitochondrial network via modulation of the fission process (https://www.ncbi.nlm.nih.gov/books/NBK1539/, PMC2171517) and mrps6 which is targeted to the mitochondria and plays a crucial role in mitochondrial translation and protein metabolism (MRPS6 Gene - GeneCards | RT06 Protein | RT06 Antibody; [36]. Furthermore, we selected the glrx2 (Glutaredoxin 2), which is located in the mitochondrial matrix and regulates glutathione homeostasis and mitochondrial redox state [37], and finally mrpl13 (mitochondrial ribosomal protein long subunit 13) which is involved in the mitochondrial protein biosynthesis. AGP-MLT treatment significantly downregulated gdap1 and mrps6 genes, while upregulating glrx2 and mrpl13, compared to untreated and single drug treatments (Fig. 4AD).

Fig. 4.

Fig. 4.

Validation of mitochondrial gene and protein signature in treated and untreated CSCs. mRNA derived from treated or untreated HT29s were monitored for the gene expression as indicated by qRT-PCR (A) gdap1, (B) mrps6, (C) glrx2, (D) mrpl13. Bar graphs show quantitative results normalized to gapdh mRNA levels. Results are from three independent experiments. (E) Immunoblot analysis of treated or untreated HT29-s extracts as indicated and (F) quantification for GDAP1, (G) MRPS6, (H) GLRX2, and (I) MRPL13. All statistical significance were determined using one-way analysis of variance followed by Bonferroni test (*p<0.05, **P<0.01, ***P<0.001).

To validate the gene expression, next we monitored the protein expression using immunoblot in treated and untreated spheroid extracts. The level of GDAP1 and MRPS6 protein levels were significantly reduced (Fig. 4E 1st & 2nd lane, F -G) in the AGP-MLT treated group compared with the untreated or single treated group. However, GLRX2 protein expression was upregulated in the dual treatment group (Fig. 4E 3rd lane &H). No significant alteration in MRPL3 expression was found in the treated group as compared to the untreated group (Fig. 4E 4th lane & I).

3.5. MRPS6 is associated with oncogenesis of CRC

The human MRPS6 gene on chromosome 21q22.11 encodes a 125-amino-acid, 14.23 kDa protein with a pI of 9.30. It features a ferredoxin-like alpha + beta sandwich domain structure (Fig. 5A). Our Microarray data and qPCR data (Fig. 4B) demonstrated that dual treatment significantly downregulates MRPS6 gene expression in HT29s. Therefore, we first quantified MRPS6 protein expression in a series of mCRC cells (HT-29, HCT-15 and HCT-116), CRC patient tissues, and CSC cell lysates (HCT15s). MRPS6 protein is significantly overexpressed in mCRC cell lysates (Fig. 5B and C), whereas its expression was moderate to high in mCRC tissue (Fig. 5F and G, p < 0.01) compared to normal colon tissue (FHC) lysates which is constant with the Human Protein Atlas (https://www.proteinatlas.org/). Previously, our data showed that MRPS6 is downregulated with the AGP-MLT treatment in HT29s (Fig. 4EG). We again validated MRPS6 protein expression using another colospheroids lysate, HCT15s (colospheroids generated from HCT-15; [4]. The results indicated significantly downregulated MRPS6 in the dual treatment of HCT15s (Fig. 5DE). Furthermore, cells were evaluated when MRPS6 was depleted with siRNA. Transfection with MRPS6 siRNA resulted in significantly reduced MRPS6 expression at 48h (Fig. 5HI) compared with the control siMRPS6. MRPS6 knockdown also resulted in a significant decrease in cell viability in the combination MRPS6 knockdown cells treated with AGP-MLT (Fig. 5J). Additionally, this dual drug does not have any impact on the mesenchymal stem cells (Fig. 5K). Clonogenic assays revealed that MRPS6 knockdown significantly reduced HCT-116 colony formation (p < 0.01) compared to negative siRNA controls (Fig. 5LM). This inhibitory effect was dramatically enhanced when siMRPS6-transfected cells were treated with AGP + MLT, resulting in near-complete suppression of colony growth (p < 0.001 vs. untreated negative control siRNA). These findings demonstrate that MRPS6 depletion synergizes with AGP-MLT treatment to inhibit cancer cell proliferation, highlighting its crucial role in mediating CSC survival during combination therapy.

Fig. 5.

Fig. 5.

Expression of MRPS6 in CRC cells, tissues, colospheroids and synergistically inhibition of MRPS6 expression by combinational drug. (A) Chromosomal location and native structure of MRPS6. (B) The upper panel represents MRPS6 expression from normal (FHC) and a panel of mCRC cell lysates (HT-29. HCT-15, HCT-116), (D) treated and untreated HCT-15s lysates as indicated, (F) tissue extracts from normal (NT) and metastatic tissue extracts from patient 1 (PT1), and patient tissue 2 (PT2). (C, E, G) represents quantitative estimations of protein levels determined by densitometry measurements of immunoblots from three independent experiments (**p < 0.01, **p<0.001). (H) HCT116 cells were transfected with siMRPS6 or negative control siRNA and treated with AGP (9.3 μM) and MLT (0.18 mM) for 24 h and 48 h. Cell lysates were evaluated for MRPS6 expression by immunoblot and quantified by densitometry and normalized the expression against GAPDH expression (I) (**p<0.001). (J) HCT116 cells were transfected with siMRPS6, or negative control siRNA as described in the 5H. Cells were treated with AGP and MLT as indicated doses for 48h. Percentage of viable cells were monitored using the MTT assay (*p < 0.5, ***p < 0.001 vs negative siRNA control). (K) Tonsillar biopsy-derived mesenchymal stem cells (T-MSC) were cultured in complete T-MSC medium: DMEM low glucose (#11885–084; Invitrogen) including 10 % FBS and penicillin/streptomycin (1 U/μg/ml; Invitrogen) at 37°C with 5 % CO2, and the medium was changed every 3 days. T-MSC cells were treated with indicated concentration of AGP and MLT for 24 h and 48 h. Cell viability was monitored using MTT assay. (L) MRPS6 knockdown enhances AGP + MLT-mediated inhibition of clonogenic survival. Representative images of crystal violet-stained HCT-116 colonies following MRPS6 siRNA transfection and AGP + MLT treatment. Scale bar = 5 mm. (M) Quantification of colony formation. Data represent mean ± SEM from three independent experiments. **p < 0.01, ***p < 0.001 vs. negative siRNA control. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

3.6. MRPS6 modulation and therapeutic efficacy in xenograft models

To assess the therapeutic impact of MRPS6 regulation in vivo, we evaluated protein expression dynamics in HT29-derived xenograft models treated with AGP, MLT, or their combination. IHC analysis revealed a 35 % reduction in MRPS6-positive cells with AGP monotherapy (p < 0.05 vs. untreated) and a 72 % decrease in the AGP + MLT cohort (p < 0.01) across three independent tissue sections per group (Fig. 8AB). Immunofluorescence staining confirmed MRPS6’s mitochondrial localization in untreated tumors, with fluorescence intensity reduced by 87 % in combination-and AGP-treated tissues (Fig. 8CD). Baseline MRPS6 expression was confirmed in HT29 and patient derived colorectal cancer organoid colon orthotopic models (IHC and IF) (Fig. 8EH), while TUNEL assays demonstrated significant apoptosis induction in AGP + MLT-treated tumors (p < 0.01 vs. controls; Fig. 8IJ). These findings establish MRPS6 downregulation as a mechanistic contributor to the AGP + MLT regimen’s efficacy, linking mitochondrial ribosomal modulation to CSC death and tumor regression (see Fig. 9).

Fig. 8.

Fig. 8.

MRPS6 expression and apoptosis in xenograft models following AGP + MLT treatment (A) Representative immunohistochemistry images of MRPS6 expression in HT29-derived subcutaneous xenografts. Scale bar = 50 μm. (B) The histogram on the right panel represents the average percentage of MRPS6 expression (n = 5 fields/section, 3 sections/group). *p < 0.05, **p < 0.01 vs. untreated control. (C) Immunofluorescence analysis of MRPS6 (green) in subcutaneous xenografts. Nuclei counterstained with DAPI (blue). Scale bar = 20 μm. (D) The histogram represents the percentage of MRPS6 expression **p < 0.01 and ***p < 0.001 vs. untreated control (E) MRPS6 expression by immunohistochemistry in orthotopic xenograft model. Scale bar = 100 μm. (F) Quantification of immunopositive MRPS6 expression/field. (G) Immunofluorescence of MRPS6 (green) in orthotopic tumors. Nuclei counterstained with DAPI (blue). Scale bar = 25 μm. (H) Quantification. (I) TUNEL assay for apoptosis detection in orthotopic tumors. TUNEL-positive cells (green) and nuclei were counterstained with DAPI (blue). Scale bar = 50 μm. (J) Quantification of TUNEL-positive cells. Data represent mean ± SEM (n = 5 fields/section, 3 sections/group). **p < 0.01 vs. untreated control (unpaired t-test). All uncropped immunohistochemistry and immunofluorescence images were provided as Supplementary Figs. 36. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 9.

Fig. 9.

Schematic representation illustrates the mechanistic insights into the synergistic impact of andrographolide (AGP) and melatonin (MLT) on anti-CRC therapy by disrupting mitochondrial dynamics and inhibiting MRPS6.

3.7. AGP exhibits direct physical interaction with MRPS6 and increases the binding affinity of MLT to MRPS6

AGP and MLT show strong binding interactions with MRPS6, as revealed by molecular docking studies (Fig. 6AB). Molecular dynamics simulations (MDS) indicate that the AGP-MLT-MRPS6 complex achieves excellent stability, with increased binding affinity compared to individual treatments (Fig. 6CF, 7AC). The introduction of AGP enhances MLT binding and complex stability (Figs. 6 and 7). Principal Component Analysis (PCA) demonstrates that the AGP-MLT-MRPS6 complex occupies a smaller conformational subspace, indicating greater flexibility (Fig. 7D). A distinct loop folding in the MRPS6-MLT-AGP complex suggests AGP synergistically facilitates MLT binding to MRPS6 (Figs. 6G and 7D). These findings provide molecular insights into the combined effects of AGP and MLT on MRPS6 in CRC cells.

Fig. 6.

Fig. 6.

AGP alone and in combination with MLT strongly interacts with MRPS6. (A) Docking pose and 2D interaction pose of Melatonin and (B) Andrographolide with MRPS6 respectively, revealed from molecular docking. Molecular dynamics-based scrutiny of the biophysical stability of AGP-MLT-MRPS6 interactions depicted through graphical representation of C. RMSD, D. RMSF of Cα-atoms, (E). Rg, (F–G). SASA plots of AGP-MRPS6, MRPS6-Melatonin, MRPS6-Andrographolide, and MRPS6-Melatonin-Andrographolide complexes respectively.

Fig. 7.

Fig. 7.

AGP strongly interacts with MRPS6 and promotes the binding of MLT to MRPS6. Total binding free energy and other contributing energies (in kJ/mol) for A. MRPS6-AGP, B. MRPS6-Melatonin and C. MRPS6-MLT-AGP complexes. D. MDS trajectories showing conformational changes of (i) apo-MRPS6, (ii) MRPS6-MLT, (iii) MRPS6-AGP, and (iv) MRPS6-MLT-AGP complexes, across the different time scales (0 ns, 50 ns, and 100 ns).

4. Discussion

The loss of functional mitochondria can arrest cancer progression, a finding that stimulated the search for new mitochondria-targeted drugs [38]. The effects of AGP + MLT on mitochondria may underly our previously observed anti-carcinogenic effects of this combination across a variety of CRC models [4]. Inhibition of mitochondrial fission machinery such as Drp1 inhibits proliferation and increases apoptosis in CRC cells, as elongated mitochondria accumulate and cannot adapt to changing metabolic demands efficiently [28,39]. Interestingly, reduced Drp1 is accompanied by reduced Wnt/β-catenin signaling, a pathway known to be involved in tumor growth and CSC maintenance [40]. We have previously reported a robust down-regulation of Wnt/β-catenin signaling by AGP + MLT. Our current results further suggest that AGP + MLT undermines the ability of mitochondria to fuse and adapt as we observe significant downregulation of fusion proteins OPA1, and MFN1.

The vast majority of mitochondrial proteins are synthesized in the cytosol and imported into mitochondria by mitoribosomes, including MRPS6 [41]. Altered MRP expression can affect CSC survival and cancer progression [42]. Distinct MRP expression patterns are associated with various clinical cancer features [4345]. For example, overexpression of MRPL35 is associated with colorectal cancer and gastric cancer cell progression [43], and its depletion inhibits cancer cell proliferation. Additionally, MRPL12/L7, MRPL33, MRPL35, MRPL39, and MRPL52 are associated with gastric cancer and colon cancer [46]. A recent study reported MRPS6 overexpression in breast cancer tissue and siRNA-induced MRPS6 downregulation affects the breast cancer cell population and gene regulation [15]. MRPS6 expression is relatively high in CRC tissues, but its role remains unknown. Imported mitoribosomes carry many of the proteins critical for production of the five mitochondrial complexes necessary for OXPHOS. The import of these proteins is tightly controlled, balancing the import of proteins controlled by the nuclear DNA and their assembly with proteins controlled by mitochondrial DNA [46]. Our data suggest that perturbing MRPS6 levels is sufficient to interfere with four of the five OXPHOS complexes and slow cancer progression and induce apoptosis. Direct inhibition of MRPS6 siRNA reduced CRC viability similar to AGP + MLT.

Our study reveals that combination of AGP and MLT inhibit CSC growth by reducing mitochondrial mass, altering dynamics, and suppressing MRPS6 expression. AGP strongly binds to MRPS6 and induces a conformational change to enhance the binding site of MLT suggests that AGP + MLT effectively disrupts that balance between protein import and mitochondrial translation, causing a global loss of mitochondrial function (Fig. 8). However, this requires confirmation.

Additionally, our findings suggest MRPS6 knockdown reduced HCT-116 colony formation, an effect amplified by AGP + MLT treatment. This aligns with observed MRPS6 downregulation and increased apoptosis in treated xenografts. MRPS6 likely supports CSC survival by maintaining mitochondrial ribosomal integrity; its suppression disrupts redox balance or energy metabolism, sensitizing cells to AGP + MLT-induced apoptosis. Synergistic tumor regression in orthotopic models, characterized by reduced MRPS6 expression and increased apoptosis, suggests MRPS6 as a potential target for overcoming CSC chemoresistance. This dual-action mechanism, targeting mitochondrial translation and CSC-specific pathways, provides a rationale for combining ribosomal disruption agents with CSC-directed therapies in CRC.

Supplementary Material

Supplementary Fig. 1
Supplementary Fig. 2
Supplementary Fig. 3
Supplementary Fig. 4
Supplementary Fig. 5
Supplementary Fig. 6
Supplementary Table II
Tunel Assay Supplement
Supplemental Data File Genome Data

Appendix A. Supplementary data

Supplementary data to this article can be found online at https://doi.org/10.1016/j.canlet.2025.217647.

Acknowledgements

The author thanks the University of Maryland Genomic Core Facility, Translational Genomics Laboratory, for performing microarray experiments. We thank Ayodele Jaiyesimi for technical assistance for protein quantification. The author sincerely acknowledges Professor Brian Polster for his review, criticism, and valuable suggestions.

Funding

This work was supported by the Department of Pediatrics at the University of Maryland School of Medicine, and the Veteran’s Affairs Merit Review Award BX004895 and NIH NINDS R01NS119275 to T.K, NIH NINDS R01NS122777 to J.W. and Richard Schwartz award to A.B and J.W. Dr. Zalzman and Dr. Nagarajan were partially supported by NICCD P01 grant number DC013817–10.

Abbreviations

MRP

Mitochondrial ribosomal protein

Drp1

Dynamin-related protein 1

OPA1

Optic atrophy 1

GPNMB

Glycoprotein nonmetastatic melanoma protein B

Nrf2

NF-E2-related factor 2

ROS

reactive oxygen species

Footnotes

CRediT authorship contribution statement

Advaitha Midde: Formal analysis, Data curation. Navpreet Arri: Formal analysis, Data curation. Tibor Kristian: Writing – review & editing, Resources, Funding acquisition, Data curation, Conceptualization. Suprabhat Mukherjee: Writing – review & editing, Methodology, Formal analysis, Conceptualization. Parth Sarthi Sen Gupta: Data curation. Yuji Zhang: Formal analysis. Mariuz Karbowski: Resources, Conceptualization. Jaylyn Waddell: Writing – review & editing, Resources. Nagarajan Maharajan: Data curation. Md Sazzad Hassan: Data curation. Heather M. O’Hagan: Data curation, Methodology. Michal Zalzman: Writing – review & editing, Writing – original draft, Formal analysis, Conceptualization. Aditi Banerjee: Writing – review & editing, Writing – original draft, Visualization, Validation, Supervision, Project administration, Methodology, Investigation, Funding acquisition, Formal analysis, Data curation, Conceptualization.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  • [1].Radu P, Zurzu M, Tigora A, Paic V, Bratucu M, Garofil D, Surlin V, Munteanu AC, Coman IS, Popa F, et al. The impact of cancer stem cells in colorectal cancer, Int. J. Mol. Sci 25 (8) (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [2].Shin AE, Giancotti FG, Rustgi AK, Metastatic colorectal cancer: mechanisms and emerging therapeutics, Trends Pharmacol. Sci 44 (4) (2023) 222–236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [3].Sharda N, Ikuse T, Hill E, Garcia S, Czinn SJ, Bafford A, Blanchard TG, Banerjee A, Impact of andrographolide and melatonin combinatorial drug therapy on metastatic colon cancer cells and organoids, Clin. Med. Insights Oncol 15 (2021) 11795549211012672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [4].Sokolov D, Sharda N, Giri B, Hassan MS, Singh D, Tarasiewicz A, Lohr C, von Holzen U, Kristian T, Waddell J, et al. Melatonin and andrographolide synergize to inhibit the colospheroid phenotype by targeting Wnt/beta-catenin signaling, J. Pineal Res 73 (1) (2022) e12808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5].Wu Z, Xiao C, Long J, Huang W, You F, Li X, Mitochondrial dynamics and colorectal cancer biology: mechanisms and potential targets, Cell Commun. Signal. 22 (1) (2024) 91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6].Lee YG, Park DH, Chae YC, Role of mitochondrial stress response in cancer progression, Cells 11 (5) (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [7].Xing J, Qi L, Liu X, Shi G, Sun X, Yang Y, Roles of mitochondrial fusion and fission in breast cancer progression: a systematic review, World J. Surg. Oncol 20 (1) (2022) 331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [8].Banerjee A, Banerjee V, Czinn S, Blanchard T, Increased reactive oxygen species levels cause ER stress and cytotoxicity in andrographolide treated colon cancer cells, Oncotarget 8 (16) (2017) 26142–26153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [9].Yang Z, Wang L, Yang C, Pu S, Guo Z, Wu Q, Zhou Z, Zhao H, Mitochondrial membrane remodeling, Front. Bioeng. Biotechnol 9 (2021) 786806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [10].Yu Y, Peng XD, Qian XJ, Zhang KM, Huang X, Chen YH, Li YT, Feng GK, Zhang HL, Xu XL, et al. Fis1 phosphorylation by Met promotes mitochondrial fission and hepatocellular carcinoma metastasis, Signal Transduct. Targeted Ther 6 (1) (2021) 401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [11].Arosarena OA, Barr EW, Thorpe R, Yankey H, Tarr JT, Safadi FF, Osteoactivin regulates head and neck squamous cell carcinoma invasion by modulating matrix metalloproteases, J. Cell. Physiol 233 (1) (2018) 409–421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [12].Maric G, Annis MG, MacDonald PA, Russo C, Perkins D, Siwak DR, Mills GB, Siegel PM, GPNMB augments Wnt-1 mediated breast tumor initiation and growth by enhancing PI3K/AKT/mTOR pathway signaling and beta-catenin activity, Oncogene 38 (26) (2019) 5294–5307. [DOI] [PubMed] [Google Scholar]
  • [13].Mitsuishi Y, Motohashi H, Yamamoto M, The Keap1-Nrf2 system in cancers: stress response and anabolic metabolism, Front. Oncol 2 (2012) 200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [14].Del Giudice L, Pontieri P, Aletta M, Calcagnile M, Mitochondrial neurodegenerative diseases: three mitochondrial ribosomal proteins as intermediate stage in the pathway that associates damaged genes with alzheimer’s and Parkinson’s, Biology 12 (7) (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Oviya RP, Gopal G, Shirley SS, Sridevi V, Jayavelu S, Rajkumar T, Mitochondrial ribosomal small subunit proteins (MRPS) MRPS6 and MRPS23 show dysregulation in breast cancer affecting tumorigenic cellular processes, Gene 790 (2021) 145697. [DOI] [PubMed] [Google Scholar]
  • [16].Banerjee V, Sharda N, Huse J, Singh D, Sokolov D, Czinn SJ, Blanchard TG, Banerjee A, Synergistic potential of dual andrographolide and melatonin targeting of metastatic colon cancer cells: using the Chou-Talalay combination index method, Eur. J. Pharmacol 897 (2021) 173919. [DOI] [PubMed] [Google Scholar]
  • [17].Khatri R, Arad M, Ortlip T, Portney BA, Meltzer WA, Diaconu S, Silipino LE, Wang Y, Kaetzel DM, Taylor RJ, et al. Harvesting multipotent progenitor cells from a small sample of tonsillar biopsy for clinical applications, Stem Cell Res. Ther 8 (1) (2017) 174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [18].Roy S, Dukic T, Keepers Z, Bhandary B, Lamichhane N, Molitoris J, Ko YH, Banerjee A, Shukla HD, SOX2 and OCT4 mediate radiation and drug resistance in pancreatic tumor organoids, Cell Death Dis 10 (1) (2024) 106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [19].Blanchard TG, Czinn SJ, Banerjee V, Sharda N, Bafford AC, Mubariz F, Morozov D, Passaniti A, Ahmed H, Banerjee A, Identification of cross talk between FoxM1 and RASSF1A as a therapeutic target of colon cancer, Cancers 11 (2) (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [20].Ladaika CA, Ghobashi AH, Boulton WC, Miller SA, O’Hagan HM, LSD1 and CoREST2 potentiate STAT3 activity to promote enteroendocrine cell differentiation in mucinous colorectal cancer, Cancer Res 85 (1) (2025) 52–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [21].Kyrylkova K, Kyryachenko S, Leid M, Kioussi C, Detection of apoptosis by TUNEL assay, Methods Mol. Biol 887 (2012) 41–47. [DOI] [PubMed] [Google Scholar]
  • [22].Shiu J, Piazuelo MB, Ding H, Czinn SJ, Drakes ML, Banerjee A, Basappa N, Kobayashi KS, Fricke WF, Blanchard TG, Gastric LTi cells promote lymphoid follicle formation but are limited by IRAK-M and do not alter microbial growth, Mucosal Immunol 8 (5) (2015, Sep) 1047–1059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23].May N, Czinn A, Sharda N, Midde A, Hassan S, von Holzen U, et al. Andrographolide and melatonin synergistically inhibit the sox proteins expression in colospheroids, Arch. Pharmacal Res 4 (2) (2024, Apr 24). [Google Scholar]
  • [24].Morningstar-Wright L, Czinn SJ, Piazuelo MB, Banerjee A, Godlewska R, Blanchard TG, The TNF-alpha inducing protein is associated with gastric inflammation and hyperplasia in a murine model of Helicobacter pylori infection, Front. Pharmacol 13 (2022) 817237. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [25].Banerjee A, Ahmed H, Yang P, Czinn SJ, Blanchard TG, Endoplasmic reticulum stress and IRE-1 signaling cause apoptosis in colon cancer cells in response to andrographolide treatment, Oncotarget 7 (27) (2016) 41432–41444. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [26].Chakraborty A, Midde A, Chakraborty P, Adhikary S, Kumar S, Arri N, Chandra Das N, Sen Gupta PS, Banerjee A, Mukherjee S, Revisiting luteolin against the mediators of human metastatic colorectal carcinoma: a biomolecular approach, J. Cell. Biochem (2024) e30654. [DOI] [PubMed] [Google Scholar]
  • [27].Padma S, Patra R, Sen Gupta PS, Panda SK, Rana MK, Mukherjee S, Cell surface fibroblast activation protein-2 (Fap2) of fusobacterium nucleatum as a vaccine candidate for therapeutic intervention of human colorectal cancer: an immunoinformatics approach, Vaccines (Basel) 11 (3) (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [28].Wu Z, Xiao C, Li F, Huang W, You F, Li X, Mitochondrial fusion-fission dynamics and its involvement in colorectal cancer, Mol. Oncol 18 (5) (2024) 1058–1075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [29].Montecinos-Franjola F, Ramachandran R, Imaging dynamin-related protein 1 (Drp1)-Mediated mitochondrial fission in living cells, Methods Mol. Biol 2159 (2020) 205–217. [DOI] [PubMed] [Google Scholar]
  • [30].Suda M, Shimizu I, Katsuumi G, Hsiao CL, Yoshida Y, Matsumoto N, Yoshida Y, Katayama A, Wada J, Seki M, et al. Glycoprotein nonmetastatic melanoma protein B regulates lysosomal integrity and lifespan of senescent cells, Sci. Rep 12 (1) (2022) 6522. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [31].Kuo CL, Ponneri Babuharisankar A., Lin YC, Lien HW, Lo YK, Chou HY, Tangeda V, Cheng LC, Cheng AN, Lee AY, Mitochondrial oxidative stress in the tumor microenvironment and cancer immunoescape: foe or friend? J. Biomed. Sci 29 (1) (2022) 74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [32].Pouremamali F, Pouremamali A, Dadashpour M, Soozangar N, Jeddi F, An update of Nrf2 activators and inhibitors in cancer prevention/promotion, Cell Commun. Signal 20 (1) (2022) 100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [33].Song MY, Lee DY, Chun KS, Kim EH, The role of NRF2/KEAP1 signaling pathway in cancer metabolism, Int. J. Mol. Sci 22 (9) (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [34].Narendra DP, Youle RJ, The role of PINK1-Parkin in mitochondrial quality control, Nat. Cell Biol 26 (10) (2024) 1639–1651. [DOI] [PubMed] [Google Scholar]
  • [35].Baird L, Yamamoto M, The molecular mechanisms regulating the KEAP1-NRF2 pathway, Mol. Cell Biol 40 (13) (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [36].DeBlasi JM, Falzone A, Caldwell S, Prieto-Farigua N, Prigge JR, Schmidt EE, Chio IIC, Karreth FA, DeNicola GM, Distinct Nrf2 signaling thresholds mediate lung tumor initiation and progression, Cancer Res 83 (12) (2023) 1953–1967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [37].Brzozowa-Zasada M, Piecuch A, Bajdak-Rusinek K, Golabek K, Michalski M, Janelt K, Matysiak N, Glutaredoxin 2 protein (Grx2) as an independent prognostic factor associated with the survival of colon adenocarcinoma patients, Int. J. Mol. Sci 25 (2) (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [38].Ghosh P, Vidal C, Dey S, Zhang L, Mitochondria targeting as an effective strategy for cancer therapy, Int. J. Mol. Sci 21 (9) (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [39].Inoue-Yamauchi A, Oda H, Depletion of mitochondrial fission factor DRP1 causes increased apoptosis in human colon cancer cells, Biochem. Biophys. Res. Commun 421 (1) (2012) 81–85. [DOI] [PubMed] [Google Scholar]
  • [40].Xiong X, Hasani S, Young LEA, Rivas DR, Skaggs AT, Martinez R, Wang C, Weiss HL, Gentry MS, Sun RC, et al. Activation of Drp1 promotes fatty acids-induced metabolic reprograming to potentiate Wnt signaling in colon cancer, Cell Death Differ 29 (10) (2022) 1913–1927. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [41].Priesnitz C, Becker T, Pathways to balance mitochondrial translation and protein import, Genes Dev 32 (19–20) (2018) 1285–1296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [42].Lin X, Guo L, Lin X, Wang Y, Zhang G, Expression and prognosis analysis of mitochondrial ribosomal protein family in breast cancer, Sci. Rep 12 (1) (2022) 10658. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [43].Bai J, Gao Y, Du Y, Yang X, Zhang X, MicroRNA-300 inhibits the growth of hepatocellular carcinoma cells by downregulating CREPT/Wnt/beta-catenin signaling, Oncol. Lett 18 (4) (2019) 3743–3753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [44].Greber BJ, Bieri P, Leibundgut M, Leitner A, Aebersold R, Boehringer D, Ban N, Ribosome. The complete structure of the 55S mammalian mitochondrial ribosome, Science 348 (6232) (2015) 303–308. [DOI] [PubMed] [Google Scholar]
  • [45].O’Brien TW, Liu J, Sylvester JE, Mougey EB, Fischel-Ghodsian N, Thiede B, Wittmann-Liebold B, Graack HR, Mammalian mitochondrial ribosomal proteins (4). Amino acid sequencing, characterization, and identification of corresponding gene sequences, J. Biol. Chem 275 (24) (2000) 18153–18159. [DOI] [PubMed] [Google Scholar]
  • [46].Richter-Dennerlein R, Oeljeklaus S, Lorenzi I, Ronsor C, Bareth B, Schendzielorz AB, Wang C, Warscheid B, Rehling P, Dennerlein S, Mitochondrial protein synthesis adapts to influx of nuclear-encoded protein, Cell 167 (2) (2016) 471–483e410. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Supplementary Fig. 1
Supplementary Fig. 2
Supplementary Fig. 3
Supplementary Fig. 4
Supplementary Fig. 5
Supplementary Fig. 6
Supplementary Table II
Tunel Assay Supplement
Supplemental Data File Genome Data

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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