{"title":"Diagnostic potential of CDK1 and STAT1 in acute kidney injury associated with gastrointestinal cancers: a bioinformatics-based study.","authors":"Qiuwan Wei, Yiqing Shen, Yiren Tian, Yunzhi Ling","doi":"10.3389/fmolb.2025.1522246","DOIUrl":"10.3389/fmolb.2025.1522246","url":null,"abstract":"<p><strong>Introduction: </strong>Patients with gastrointestinal cancers are prone to acute kidney injury (AKI) due to treatment or disease progression, and current diagnostic methods exhibit insufficient sensitivity and specificity. This study aims to evaluate the potential value of CDK1 and STAT1 in the diagnosis of AKI in this patient population.</p><p><strong>Methods: </strong>A retrospective analysis was conducted on adjacent tissue, cancerous and the clinical data tissue from 150 gastrointestinal cancer patients treated at our hospital from May 2022 to May 2023. Differentially expressed genes (DEGs) associated with gastrointestinal cancer and kidney injury were identified through bioinformatics analysis. The expression of DEGs proteins in cancerous and adjacent tissues was assessed using immunohistochemical scoring (H scores). Patients were classified into AKI (n = 42) and non-AKI groups (n = 108) according to KDIGO AKI criteria. Univariate and multivariate logistic regression analyses were performed to investigate the influencing factors of AKI occurrence. Spearman correlation analysis was used to explore the relationship between DEGs and AKI biomarkers (Scr, BUN, MAU, and UA). The application value of DEGs in early diagnosis of AKI was evaluated using ROC curves.</p><p><strong>Results: </strong>Bioinformatics analysis identified CDK1, STAT1, COL1A2, and COL1A1 as DEGs related to AKI in gastrointestinal cancer. Immunohistochemical analysis revealed elevated H scores for CDK1, STAT1, COL1A2, and COL1A1 in tumor tissues. Univariate analysis showed no significant differences in age, sex, marital status, education level, monthly income, disease type, cancer stage, or tumor markers (CEA, CA242, CA50) between AKI and non-AKI groups (P > 0.05). However, the AKI group exhibited significantly higher levels of MAU, UA, and H scores for CDK1, STAT1, COL1A2, and COL1A1 compared to the non-AKI group (P < 0.05). Multivariate logistic regression confirmed that MAU, UA, CDK1, and STAT1 are independent risk factors for AKI in gastrointestinal cancer patients. Correlation analysis indicated a significant positive association between CDK1, STAT1, and AKI biomarker levels (P < 0.05). ROC curve analysis demonstrated that CDK1 and STAT1 possess high diagnostic value for early detection of AKI in patients with gastrointestinal cancer, with enhanced efficacy when used in combination.</p><p><strong>Conclusion: </strong>CDK1 and STAT1 serve as early diagnostic indicators for the occurrence of AKI in gastrointestinal cancer patients.</p>","PeriodicalId":12465,"journal":{"name":"Frontiers in Molecular Biosciences","volume":"12 ","pages":"1522246"},"PeriodicalIF":3.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11794955/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143255127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiao Du, Hongxiu Li, Shiyi Shen, Chao Tian, Xiaohuan Cao, Xingang Xu, Nan Xu, Shuling Wang, Qingchang Tian
{"title":"Labeling tumor-associated extracellular vesicles with antibody-DNA conjugates for quantitative analysis.","authors":"Xiao Du, Hongxiu Li, Shiyi Shen, Chao Tian, Xiaohuan Cao, Xingang Xu, Nan Xu, Shuling Wang, Qingchang Tian","doi":"10.3389/fmolb.2025.1531108","DOIUrl":"10.3389/fmolb.2025.1531108","url":null,"abstract":"<p><strong>Introduction: </strong>Extracellular vesicles (EVs) shed from tumor cells into peripheral circulation or other body fluids are promising biomarkers for cancer diagnosis with enormously long circulation. Consequently, precise methods for differentiating normal and tumor-associated EVs (TAEs) are required.</p><p><strong>Methods: </strong>This study used quantifiable antibody-DNA conjugate-assisted quantitative methods combined with proximity ligation technology to detect TAEs. The antibody-DNA conjugate contained one antibody associated with three oligonucleotides for signal amplification. The antibody in the conjugate can recognize the surface tumor antigens of TAEs. Simultaneously, DNA in the conjugate is attached to the surfaces of TAEs and holds the signal amplification post, converting protein identities to DNA amplification for protein detection, even at the molecular level.</p><p><strong>Results: </strong>These findings revealed that TAEs can be quantitatively detected using DNA-mediated quantitative polymerase chain reaction (qPCR). Antibody-DNA conjugates were used to recognize the epithelial cell adhesion molecule (EpCAM) antigen on the TAE surface and quantify the antigen using qPCR for cancer analysis.</p><p><strong>Discussion: </strong>This method proposed a new quantitative detection approach for TAEs, which aim to identify specific EV-associated markers for diagnostic or therapeutic, this method could inspire a new idea for tumor diagnosis and detection of other diseases.</p>","PeriodicalId":12465,"journal":{"name":"Frontiers in Molecular Biosciences","volume":"12 ","pages":"1531108"},"PeriodicalIF":3.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11794122/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143255147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maxim Sorokin, Vladimir Lyadov, Maria Suntsova, Marat Garipov, Anna Semenova, Natalia Popova, Egor Guguchkin, Rustam Heydarov, Marianna Zolotovskaia, Xiaowen Zhao, Qing Yan, Ye Wang, Evgeny Karpulevich, Anton Buzdin
{"title":"Detection of fusion events by RNA sequencing in FFPE versus freshly frozen colorectal cancer tissue samples.","authors":"Maxim Sorokin, Vladimir Lyadov, Maria Suntsova, Marat Garipov, Anna Semenova, Natalia Popova, Egor Guguchkin, Rustam Heydarov, Marianna Zolotovskaia, Xiaowen Zhao, Qing Yan, Ye Wang, Evgeny Karpulevich, Anton Buzdin","doi":"10.3389/fmolb.2024.1448792","DOIUrl":"10.3389/fmolb.2024.1448792","url":null,"abstract":"<p><p>Gene fusion events result in chimeric proteins that are frequently found in human cancers. Specific targeted therapies are available for several types of cancer fusions including receptor tyrosine kinase gene moieties. RNA sequencing (RNAseq) can directly be used for detection of gene rearrangements in a single test, along with multiple additional biomarkers. However, tumor biosamples are usually formalin-fixed paraffin-embedded (FFPE) tissue blocks where RNA is heavily degraded, which in theory may result in decreased efficiency of fusion detection. Here, for the first time, we compared the efficacy of gene fusion detection by RNAseq for matched pairs of freshly frozen in RNA stabilizing solution (FF) and FFPE tumor tissue samples obtained from 29 human colorectal cancer patients. We detected no statistically significant difference in the number of chimeric transcripts in FFPE and FF RNAseq profiles. The known fusion <i>KANSL1-ARL17A/B</i> occurred with a high frequency in 69% of the patients. We also detected 93 new fusion genes not mentioned in the literature or listed in the ChimerSeq database. Among them, 11 were found in two or more patients, suggesting their potential role in carcinogenesis. Most of the fusions detected most probably represented read-through, microdeletion or local duplication events. Finally, in one patient, we detected a potentially clinically actionable in-frame fusion of <i>LRRFIP2</i> and <i>ALK</i> genes not previously described in colorectal cancer with an intact tyrosine kinase domain that can be potentially targeted by ALK inhibitors.</p>","PeriodicalId":12465,"journal":{"name":"Frontiers in Molecular Biosciences","volume":"11 ","pages":"1448792"},"PeriodicalIF":3.9,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11791353/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143188691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yunus E Dogan, Niharika Bala, Erika S Galban, Russell L Lewis, Nancy D Denslow, Sihong Song, Abdel A Alli
{"title":"Alpha 1-antitrypsin mitigates salt-sensitive hypertension in juvenile mice by reducing diacylglycerol concentrations and protein kinase C activity in kidney membranes.","authors":"Yunus E Dogan, Niharika Bala, Erika S Galban, Russell L Lewis, Nancy D Denslow, Sihong Song, Abdel A Alli","doi":"10.3389/fmolb.2024.1485506","DOIUrl":"10.3389/fmolb.2024.1485506","url":null,"abstract":"<p><strong>Introduction: </strong>Recombinant alpha-1 antitrypsin (AAT) therapy has been shown to have beneficial effects to mitigate the progression of various diseases. Here, we hypothesized that administration of pharmaceutical-grade human AAT (hAAT) is effective in mitigating hypertension induced by salt-loading in juvenile mice by reducing the concentration of diacylglycerols (DAGs) and activity of protein kinase C (PKC) in the kidney.</p><p><strong>Methods: </strong>Four-week old 129Sv mice were salt-loaded to induce hypertension and then administered hAAT or vehicle.</p><p><strong>Results: </strong>Administration of hAAT was found to significantly reduce high blood pressure in both the active and inactive cycles of the 129Sv hypertensive mice. A lipidomic analysis showed decreased concentrations of multiple diacylglycerols in kidney cortex membrane fractions from mice treated with hAAT compared to vehicle. PKC activity was less in the 129Sv mice that received hAAT compared to vehicle. Western blotting and immunohistochemistry analysis showed the density of the sodium-potassium-chloride co-transporter (NKCC2) was significantly reduced in kidney cortex membrane fractions of juvenile mice that received hAAT compared to vehicle.</p><p><strong>Conclusion: </strong>Taken together, this study demonstrates a new protective effect of hAAT in normalizing blood pressure after the development of saltinduced hypertension in juvenile mice in a mechanism involving a decrease in NKCC2 membrane expression, presumably due to decreased levels of DAGs in the plasma membrane and a subsequent decrease in PKC activity.</p>","PeriodicalId":12465,"journal":{"name":"Frontiers in Molecular Biosciences","volume":"11 ","pages":"1485506"},"PeriodicalIF":3.9,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11788078/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kaylie I Kirkwood-Donelson, Alan K Jarmusch, Carl D Bortner, Bruce Alex Merrick, Birandra K Sinha
{"title":"Metabolic consequences of erastin-induced ferroptosis in human ovarian cancer cells: an untargeted metabolomics study.","authors":"Kaylie I Kirkwood-Donelson, Alan K Jarmusch, Carl D Bortner, Bruce Alex Merrick, Birandra K Sinha","doi":"10.3389/fmolb.2024.1520876","DOIUrl":"10.3389/fmolb.2024.1520876","url":null,"abstract":"<p><strong>Introduction: </strong>Ovarian cancer has been difficult to cure due to acquired or intrinsic resistance and therefore, newer or more effective drugs/approaches are needed for a successful treatment in the clinic. Erastin (ER), a ferroptosis inducer, kills tumor cells by generating and accumulating reactive oxygen species (ROS) within the cell, resulting in an iron-dependent oxidative damage-mediated ferroptotic cell death.</p><p><strong>Methods: </strong>We have utilized human ovarian cancer cell lines, OVCAR-8 and its adriamycin-selected, multi-drug resistance protein (MDR1)-expressing NCI/ADR-RES, both equally sensitive to ER, to identify metabolic biomarkers of ferroptosis.</p><p><strong>Results: </strong>Our studies showed that ER treatment rapidly depleted cellular glutathione and cysteine and enhanced formation of ophthalamate (OPH) in both cells. Opthalalmate has been proposed to be a biomarker of oxidative stress in cells. Our study also found significant decreases in cellular taurine, a natural antioxidant in cells. Additionally, we found that ER treatment decreased cellular levels of NAD+/NADP+, carnitines and glutamine/glutamate in both cells, suggesting significant oxidative stress, decrease in energy production, and cellular and mitochondrial disfunctions, leading to cell death.</p><p><strong>Conclusion: </strong>Our studies identified several potential biomarkers of ER-induced ferroptosis including OPH, taurine, NAD+, NADP+ and glutamate in ovarian cancer cells. Identifying specific metabolic biomarkers that are predictive of whether a cancer is susceptible to ferroptosis will help us devise more successful treatment modalities.</p>","PeriodicalId":12465,"journal":{"name":"Frontiers in Molecular Biosciences","volume":"11 ","pages":"1520876"},"PeriodicalIF":3.9,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11788483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kirill S Nikolsky, Arthur T Kopylov, Valeriya I Nakhod, Natalia V Potoldykova, Dmitry V Enikeev, Tatiana V Butkova, Liudmila I Kulikova, Kristina A Malsagova, Vladimir R Rudnev, Denis V Petrovskiy, Alexander A Izotov, Anna L Kaysheva
{"title":"Plasma proteome fingerprint in kidney diseases.","authors":"Kirill S Nikolsky, Arthur T Kopylov, Valeriya I Nakhod, Natalia V Potoldykova, Dmitry V Enikeev, Tatiana V Butkova, Liudmila I Kulikova, Kristina A Malsagova, Vladimir R Rudnev, Denis V Petrovskiy, Alexander A Izotov, Anna L Kaysheva","doi":"10.3389/fmolb.2024.1494779","DOIUrl":"10.3389/fmolb.2024.1494779","url":null,"abstract":"<p><strong>Introduction: </strong>Kidney diseases pose a serious healthcare problem because of their high prevalence, worsening of patients' quality of life, and high mortality. Patients with kidney diseases are often asymptomatic until disease progression starts. Expensive renal replacement therapy options, such as dialysis or kidney transplant, are required for end-stage kidney disease. Early diagnosis of kidney pathology is crucial for slowing down or curbing further damage. This study aimed to analyze the features of the protein composition of blood plasma in patients with the most common kidney pathologies: kidney calculus, kidney cyst, and kidney cancer.</p><p><strong>Methods: </strong>The study involved 75 subjects. Proteins associated with kidney pathologies (CFB, SERPINA3, HPX, HRG, SERPING1, HBB, ORM2, and CP) were proposed. These proteins are important participants of complement and coagulation cascade activation and lipid metabolism.</p><p><strong>Results: </strong>The revealed phosphorylated proteoforms (CFB, C4A/C4B, F2, APOB, TTR, and NRAP) were identified. For them, modification sites were mapped on 3D protein models, and the potential role in formation of complexes with native partner proteins was assessed.</p><p><strong>Discussion: </strong>The study demonstrates that the selected kidney pathologies have a similar proteomic profile, and patients can be classified into kidney pathology groups with an accuracy of (70-80)%.</p>","PeriodicalId":12465,"journal":{"name":"Frontiers in Molecular Biosciences","volume":"11 ","pages":"1494779"},"PeriodicalIF":3.9,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782039/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143079288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andras Szeitz, Jens Herbig, Konstantinos A Kouremenos, Shane Fitzgerald, Steven J Hallam
{"title":"Editorial: Metabolomics and transcriptomics in biomarker discovery: mass spectrometric techniques in volatilome research.","authors":"Andras Szeitz, Jens Herbig, Konstantinos A Kouremenos, Shane Fitzgerald, Steven J Hallam","doi":"10.3389/fmolb.2024.1545016","DOIUrl":"10.3389/fmolb.2024.1545016","url":null,"abstract":"","PeriodicalId":12465,"journal":{"name":"Frontiers in Molecular Biosciences","volume":"11 ","pages":"1545016"},"PeriodicalIF":3.9,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782019/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143079284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianhao Bai, Zhongqi Wan, Wanru Zhou, Lijun Wang, Wei Lou, Yao Zhang, Haiying Jin
{"title":"Global trends and emerging insights in BRAF and MEK inhibitor resistance in melanoma: a bibliometric analysis.","authors":"Jianhao Bai, Zhongqi Wan, Wanru Zhou, Lijun Wang, Wei Lou, Yao Zhang, Haiying Jin","doi":"10.3389/fmolb.2025.1538743","DOIUrl":"10.3389/fmolb.2025.1538743","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to perform a comprehensive bibliometric analysis of global research on BRAF and MEK inhibitor resistance in melanoma, identifying key research trends, influential contributors, and emerging themes from 2003 to 2024.</p><p><strong>Methods: </strong>A systematic search was conducted in the Web of Science Core Collection (WoSCC) database to retrieve publications related to BRAF and MEK inhibitor resistance from 1 January 2003, to 1 September 2024. Bibliometric analyses, including publication trends, citation networks, and keyword co-occurrence patterns, were performed using VOSviewer and CiteSpace. Collaborative networks, co-cited references, and keyword burst analyses were mapped to uncover shifts in research focus and global cooperation.</p><p><strong>Results: </strong>A total of 3,503 documents, including 2,781 research articles and 722 review papers, were analyzed, highlighting significant growth in this field. The United States, China, and Italy led in publication volume and citation impact, with Harvard University and the University of California System among the top contributing institutions. Research output showed three phases of growth, peaking in 2020. Keyword and co-citation analyses revealed a transition from early focus on BRAF mutations and MAPK pathway activation to recent emphasis on immunotherapy, combination therapies, and non-apoptotic cell death mechanisms like ferroptosis and pyroptosis. These trends reflect the evolving priorities and innovative approaches shaping the field of resistance to BRAF and MEK inhibitors in melanoma.</p><p><strong>Conclusion: </strong>Research on BRAF and MEK inhibitor resistance has evolved significantly. This analysis provides a strategic framework for future investigations, guiding the development of innovative, multi-modal approaches to improve treatment outcomes for melanoma patients.</p>","PeriodicalId":12465,"journal":{"name":"Frontiers in Molecular Biosciences","volume":"12 ","pages":"1538743"},"PeriodicalIF":3.9,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782018/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143079295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexandra Razumovskaya, Mariia Silkina, Andrey Poloznikov, Timur Kulagin, Maria Raigorodskaya, Nina Gorban, Anna Kudryavtseva, Maria Fedorova, Boris Alekseev, Alexander Tonevitsky, Sergey Nikulin
{"title":"Predicting patient outcomes with gene-expression biomarkers from colorectal cancer organoids and cell lines.","authors":"Alexandra Razumovskaya, Mariia Silkina, Andrey Poloznikov, Timur Kulagin, Maria Raigorodskaya, Nina Gorban, Anna Kudryavtseva, Maria Fedorova, Boris Alekseev, Alexander Tonevitsky, Sergey Nikulin","doi":"10.3389/fmolb.2025.1531175","DOIUrl":"10.3389/fmolb.2025.1531175","url":null,"abstract":"<p><strong>Introduction: </strong>Colorectal cancer (CRC) is characterized by an extremely high mortality rate, mainly caused by the high metastatic potential of this type of cancer. To date, chemotherapy remains the backbone of the treatment of metastatic colorectal cancer. Three main chemotherapeutic drugs used for the treatment of metastatic colorectal cancer are 5-fluorouracil, oxaliplatin and irinotecan which is metabolized to an active compound SN-38. The main goal of this study was to find the genes connected to the resistance to the aforementioned drugs and to construct a predictive gene expression-based classifier to separate responders and non-responders.</p><p><strong>Methods: </strong>In this study, we analyzed gene expression profiles of seven patient-derived CRC organoids and performed correlation analyses between gene expression and IC50 values for the three standard-of-care chemotherapeutic drugs. We also included in the study publicly available datasets of colorectal cancer cell lines, thus combining two different <i>in vitro</i> models relevant to cancer research. Logistic regression was used to build gene expression-based classifiers for metastatic Stage IV and non-metastatic Stage II/III CRC patients. Prognostic performance was evaluated through Kaplan-Meier survival analysis and log-rank tests, while independent prognostic significance was assessed using multivariate Cox proportional hazards modeling.</p><p><strong>Results: </strong>A small set of genes showed consistent correlation with resistance to chemotherapy across different datasets. While some genes were previously implicated in cancer prognosis and drug response, several were linked to drug resistance for the first time. The resulting gene expression signatures successfully stratified Stage II/III and Stage IV CRC patients, with potential clinical utility for improving treatment outcomes after further validation.</p><p><strong>Discussion: </strong>This study highlights the advantages of integrating diverse experimental models, such as organoids and cell lines, to identify novel prognostic biomarkers and enhance the understanding of chemotherapy resistance in CRC.</p>","PeriodicalId":12465,"journal":{"name":"Frontiers in Molecular Biosciences","volume":"12 ","pages":"1531175"},"PeriodicalIF":3.9,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11774744/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143064278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}