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Wang X, Li J, Wang Z, Wu Q. Comprehensive analysis of a palmitoylation-related prognostic signature in colorectal cancer: Implications for immune therapy and personalized treatment. Oncol Lett 2025; 30:350. [PMID: 40438869 PMCID: PMC12117421 DOI: 10.3892/ol.2025.15096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Accepted: 03/26/2025] [Indexed: 06/01/2025] Open
Abstract
Colorectal cancer (CRC) remains one of the leading causes of cancer-associated mortality worldwide. While immune checkpoint inhibitors have shown promise in treatment, there is a need for reliable biomarkers to predict patient prognosis and guide personalized therapies. Palmitoylation, a post-translational modification, has been implicated in various cancer processes, yet its role in CRC prognosis remains unclear. Transcriptome, survival, somatic mutation and copy number variation data were retrieved from The Cancer Genome Atlas, and the GSE17538 dataset was used for external validation. A palmitoylation-related risk signature was developed using univariate Cox regression, Least Absolute Shrinkage and Selection Operator and multivariate Cox regression analyses. Patients were stratified into high- and low-risk groups based on the median risk score. Prognostic accuracy was assessed using receiver operating characteristic curves and Kaplan-Meier overall survival (OS) analysis with validation in an independent cohort. Functional enrichment, immune cell infiltration and drug sensitivity analyses were performed to explore underlying mechanisms and therapeutic implications. Subsequently, keratin 8 pseudogene 12 (KRT8P12) overexpression was evaluated in HT29 cells, and knockdown HT29 cell lines were generated using lentivirus. Cell proliferation was assessed using Cell Counting Kit-8 and 5-ethynyl-2'-deoxyuridine assays, cell migration was evaluated by Transwell assay and cell apoptosis was assessed using Annexin-V/propidium iodide staining. A palmitoylation-related risk signature consisting of six genes (KRT8P12, ZDHHC3, PCOLCE2, MPP2, LARS2 and MMAA) was identified. High-risk patients exhibited significantly worse OS (HR=3.19; P<0.001) compared with low-risk patients. Immune cell infiltration analysis revealed enhanced immune activity in the low-risk group, which was associated with higher expression of immune checkpoint genes. Immunotherapy prediction models indicated that low-risk patients might benefit more from immune checkpoint inhibitors. Drug sensitivity analysis identified distinct drug response profiles between the high- and low-risk groups. Furthermore, in vitro, KRT8P12 promoted tumor cell proliferation and migration while inhibiting apoptosis. In conclusion, the present study confirmed the role of KRT8P12 as a palmitoylation-related gene in regulating CRC. In addition, the palmitoylation-associated risk signature may offer a promising tool for prognostic prediction in CRC and could guide personalized treatment strategies, including immune checkpoint inhibitors and targeted therapies.
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Affiliation(s)
- Xiaokang Wang
- Department of Medical Oncology, Xianning Central Hospital, The First Affiliated Hospital of Hubei Institute of Science and Technology, Xianning, Hubei 437000, P.R. China
| | - Jian Li
- Department of Gastroenterology, Xianning Central Hospital, The First Affiliated Hospital of Hubei Institute of Science and Technology, Xianning, Hubei 437000, P.R. China
| | - Zi Wang
- College of Medicine, Hubei Three Gorges Polytechnic, Yichang, Hubei 443000, P.R. China
| | - Qingyun Wu
- Department of Gastrointestinal Surgery, Xianning Central Hospital, The First Affiliated Hospital of Hubei Institute of Science and Technology, Xianning, Hubei 437000, P.R. China
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Gurinovich A, Song Z, Bae H, Leshchyk A, Li M, Lords H, Andersen SL, Nygaard M, Christensen K, Daw EW, Arbeev KG, Brent MR, Perls TT, Sebastiani P. SNP rs6543176 is associated with extreme human longevity but increased risk for cancer. GeroScience 2025:10.1007/s11357-024-01478-5. [PMID: 39751714 DOI: 10.1007/s11357-024-01478-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2024] [Accepted: 12/14/2024] [Indexed: 01/04/2025] Open
Abstract
Using whole-genome sequencing (WGS) might offer insights into rare genetic variants associated with healthy aging and extreme longevity (EL), potentially pointing to useful therapeutic targets. In this study, we conducted a genome-wide association study using WGS data from the Long Life Family Study and identified a novel longevity-associated variant rs6543176 in the SLC9A2 gene. This SNP also showed a significant association with reduced hypertension risk and an increased, though not statistically significant, cancer risk. The association with cancer risk was replicated in the UK Biobank and FinnGen. Metabolomic analyses linked the rs6543176 longevity allele to higher serine levels, potentially associated with delayed mortality. Our findings warrant further investigation of SLC9A2's role in both longevity and cancer susceptibility, and they highlight the need for careful evaluation in developing anti-aging therapies based on EL-associated alleles.
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Affiliation(s)
- Anastasia Gurinovich
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, 02111, USA.
- Department of Medicine, Tufts University, Boston, MA, 02111, USA.
| | - Zeyuan Song
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, 02111, USA
- Department of Medicine, Tufts University, Boston, MA, 02111, USA
| | - Harold Bae
- Biostatistics Program, College of Health, Oregon State University, Corvallis, OR, 97331, USA
| | - Anastasia Leshchyk
- Bioinformatics Program, Faculty of Computing & Data Sciences, Boston University, Boston, MA, 02215, USA
- Department of Medicine, Computational Biomedicine Section, School of Medicine, Boston University, Chobanian & Avedisian, Boston, MA, 02118, USA
| | - Mengze Li
- Bioinformatics Program, Faculty of Computing & Data Sciences, Boston University, Boston, MA, 02215, USA
- Department of Medicine, Computational Biomedicine Section, School of Medicine, Boston University, Chobanian & Avedisian, Boston, MA, 02118, USA
| | - Hannah Lords
- Bioinformatics Program, Faculty of Computing & Data Sciences, Boston University, Boston, MA, 02215, USA
- Department of Medicine, Computational Biomedicine Section, School of Medicine, Boston University, Chobanian & Avedisian, Boston, MA, 02118, USA
| | - Stacy L Andersen
- Department of Medicine, Section of Geriatrics, School of Medicine, Boston University, Chobanian & Avedisian, Boston, MA, 02118, USA
| | - Marianne Nygaard
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - E Warwick Daw
- Division of Statistical Genomics, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Konstantin G Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708, USA
| | - Michael R Brent
- Division of Computational and Data Sciences, Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Thomas T Perls
- Department of Medicine, Section of Geriatrics, School of Medicine, Boston University, Chobanian & Avedisian, Boston, MA, 02118, USA
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, 02111, USA
- Department of Medicine, Tufts University, Boston, MA, 02111, USA
- Data Intensive Study Center, Tufts University, Medford, MA, 02155, USA
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Kouba S, Demaurex N. S-acylation of Ca 2+ transport proteins in cancer. Chronic Dis Transl Med 2024; 10:263-280. [PMID: 39429488 PMCID: PMC11483607 DOI: 10.1002/cdt3.146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 07/03/2024] [Accepted: 07/11/2024] [Indexed: 10/22/2024] Open
Abstract
Alterations in cellular calcium (Ca2+) signals have been causally associated with the development and progression of human cancers. Cellular Ca2+ signals are generated by channels, pumps, and exchangers that move Ca2+ ions across membranes and are decoded by effector proteins in the cytosol or in organelles. S-acylation, the reversible addition of 16-carbon fatty acids to proteins, modulates the activity of Ca2+ transporters by altering their affinity for lipids, and enzymes mediating this reversible post-translational modification have also been linked to several types of cancers. Here, we compile studies reporting an association between Ca2+ transporters or S-acylation enzymes with specific cancers, as well as studies reporting or predicting the S-acylation of Ca2+ transporters. We then discuss the potential role of S-acylation in the oncogenic potential of a subset of Ca2+ transport proteins involved in cancer.
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Affiliation(s)
- Sana Kouba
- Department of Cell Physiology and MetabolismCentre Médical Universitaire, University of GenevaGenevaSwitzerland
| | - Nicolas Demaurex
- Department of Cell Physiology and MetabolismCentre Médical Universitaire, University of GenevaGenevaSwitzerland
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