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Wu Y, Shen Y. Research Progress on CARM1 and its Relationship with Colorectal Cancer. Cancer Invest 2024; 42:435-442. [PMID: 38813691 DOI: 10.1080/07357907.2024.2354798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 05/09/2024] [Indexed: 05/31/2024]
Abstract
Coactivator-associated arginine methyltransferase 1 (CARM1) is significant as a key member of the PRMT family, crucial for regulating arginine methylation, and its association with colorectal cancer underscores its potential as a therapeutic target. Consequently, CARM1 inhibitors have emerged as potential therapeutic agents in cancer treatment and valuable chemical tools for cancer research. Despite steady progress in CARM1 inhibitor research, challenges persist in discovering effective, isoform-selective, cell-permeable, and in vivo-active CARM1 inhibitors for colorectal cancer. This review summarizes the research progress on CARM1 and its relationship with colorectal cancer, aiming to provide a theoretical basis for the radiotherapy of colorectal cancer.
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Affiliation(s)
- Yuchen Wu
- NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, China
| | - Yannan Shen
- NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, China
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Liu S, Lin Y, Huang S, Xue S, Huang R, Chen L, Wang C. Identifying the long-term survival beneficiary of chemotherapy for stage N1c sigmoid colon cancer. Sci Rep 2022; 12:16909. [PMID: 36207378 PMCID: PMC9546836 DOI: 10.1038/s41598-022-21331-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 09/26/2022] [Indexed: 11/09/2022] Open
Abstract
Sigmoid colon cancer often has an unsatisfactory prognosis. This study explored the effect of tumor deposits (TDs) on survival, and whether their presence/absence influence individualized treatment. Data of postoperative patients with sigmoid colon cancer were extracted from the Surveillance, Epidemiology, and End Results database. Overall survival (OS) was calculated using the Kaplan-Meier method and prognostic factors were identified using Cox regression analysis and random forest (RF). The nomogram's discrimination performance was evaluated using a concordance index (C-index), integrated discrimination improvement (IDI), calibration curves, and decision-curve analysis. The N1c group showed a worse prognosis than the N0 group. For N1c patients, a combination of surgery and chemotherapy prolonged survival, compared to surgery alone; however, the chemotherapy-surgery combination did not affect the OS of patients younger than 70 years, in stage T1-2, and/or of black race. Multivariable analysis and RF presented Age, T stage, and N stage were the most important predictors for OS. The novel nomogram had superiority to the TNM staging system with improved C-index and IDI, as well as good consistency and higher clinical benefit. TDs are associated with poor survival from sigmoid colon cancer, and considering TDs can inform the formulation of individual treatment regimens. The nomogram shows satisfactory prediction ability for OS.
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Affiliation(s)
- Shan Liu
- Department of Hematology-Oncology, Fujian Children's Hospital, Fuzhou, China; College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Yaobin Lin
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
| | - Sihan Huang
- Department of Hematology-Oncology, Fujian Children's Hospital, Fuzhou, China; College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Shufang Xue
- Department of Hematology-Oncology, Fujian Children's Hospital, Fuzhou, China; College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Ruoyao Huang
- Department of Hematology-Oncology, Fujian Children's Hospital, Fuzhou, China; College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Lu Chen
- Department of Hematology-Oncology, Fujian Children's Hospital, Fuzhou, China; College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.,Department of Hematology-Oncology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Chengyi Wang
- Department of Hematology-Oncology, Fujian Children's Hospital, Fuzhou, China; College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China. .,Department of Hematology-Oncology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, China.
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Lin Y, Liu S, Hong L, Shao L, Wu J. Postoperative locoregional recurrence pattern and treatment management of stage pT4 sigmoid colon cancer: a retrospective cohort study. Radiat Oncol 2022; 17:95. [PMID: 35562804 PMCID: PMC9107167 DOI: 10.1186/s13014-022-02064-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 04/28/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND This study aimed to explore the pattern of locoregional recurrence after surgery in patients with non-metastatic stage pT4 sigmoid colon cancer and the role of adjuvant radiotherapy on survival. METHODS We retrospectively analyzed data from 208 patients who underwent surgery in our hospital. The patients were randomly divided into training and validation groups at a 1:1 ratio. Patients at high risk for locoregional recurrence were screened using Cox regression analysis. Based on the data of 2,886 patients in the Surveillance, Epidemiology, and End Results (SEER) database, the effect of adjuvant radiotherapy on overall survival (OS) and cancer-specific survival (CSS) was evaluated by Kaplan-Meier curves. RESULTS Of the 208 patients, 57 (27.4%) presented with locoregional recurrences (14 anastomotic and 43 abdominal or pelvic lymph node recurrences). Multivariate analysis showed that serum CEA, differentiation, lymph node dissection number, and N stage were independent predictors of locoregional recurrence-free survival (all p < 0.05). A risk-stratification model was constructed, and a total score of ≥ 6.5 points was considered the high-risk group for locoregional recurrence. Both the training and validation sets presented that the model had a good predictive ability (area under the curve = 0.828 and 0.724, respectively). Analysis of SEER data revealed that adjuvant radiotherapy significantly prolonged OS and CSS in the high-risk population (all p < 0.05, vs. no radiotherapy). CONCLUSIONS Patients with a total risk score of 6.5 or more had a high likelihood of locoregional recurrence, and perhaps adjuvant radiotherapy could improve their survival.
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Affiliation(s)
- Yaobin Lin
- College of Clinical Medicine for Oncology, Fujian Medical University, 420 Fuma Rd, Jin'an District, Fuzhou, 350014, Fujian, China
| | - Shan Liu
- Department of Hematology-Oncology, Fujian Children's Hospital, Fuzhou, 350014, Fujian, China
| | - Liang Hong
- College of Clinical Medicine for Oncology, Fujian Medical University, 420 Fuma Rd, Jin'an District, Fuzhou, 350014, Fujian, China
| | - Lingdong Shao
- College of Clinical Medicine for Oncology, Fujian Medical University, 420 Fuma Rd, Jin'an District, Fuzhou, 350014, Fujian, China
| | - Junxin Wu
- College of Clinical Medicine for Oncology, Fujian Medical University, 420 Fuma Rd, Jin'an District, Fuzhou, 350014, Fujian, China. .,Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, Fujian, China.
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