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Colorectal cancer (CRC) continues to be a global health concern, necessitating further research into its complex biology and innovative treatment approaches. The etiology, pathogenesis, diagnosis, and treatment of colorectal cancer are summarized in this thorough review along with recent developments. The multifactorial nature of colorectal cancer is examined, including genetic predispositions, environmental factors, and lifestyle decisions. The focus is on deciphering the complex interactions between signaling pathways such as Wnt/β-catenin, MAPK, TGF-β as well as PI3K/AKT that participate in the onset, growth, and metastasis of CRC. There is a discussion of various diagnostic modalities that span from traditional colonoscopy to sophisticated molecular techniques like liquid biopsy and radiomics, emphasizing their functions in early identification, prognostication, and treatment stratification. The potential of artificial intelligence as well as machine learning algorithms in improving accuracy as well as efficiency in colorectal cancer diagnosis and management is also explored. Regarding therapy, the review provides a thorough overview of well-known treatments like radiation, chemotherapy, and surgery as well as delves into the newly-emerging areas of targeted therapies as well as immunotherapies. Immune checkpoint inhibitors as well as other molecularly targeted treatments, such as anti-epidermal growth factor receptor (anti-EGFR) as well as anti-vascular endothelial growth factor (anti-VEGF) monoclonal antibodies, show promise in improving the prognosis of colorectal cancer patients, in particular, those suffering from metastatic disease. This review focuses on giving readers a thorough understanding of colorectal cancer by considering its complexities, the present status of treatment, and potential future paths for therapeutic interventions. Through unraveling the intricate web of this disease, we can develop a more tailored and effective approach to treating CRC.
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http://dx.doi.org/10.1016/j.intimp.2024.113325 | DOI Listing |
Ann Surg Oncol
September 2025
Division of Advanced Surgical Oncology, Research and Development Center for New Medical Frontiers, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Oncogene
September 2025
Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
There are no proven therapies for metastatic or unresectable Chromophobe Renal Cell Carcinoma (ChRCC). ChRCC is characterized by high glutathione levels and hypersensitivity to ferroptosis, an iron-dependent form of cell death characterized by peroxidation of polyunsaturated fatty acids. The underlying mechanisms leading to ferroptosis hypersensitivity are unknown.
View Article and Find Full Text PDFJ Robot Surg
September 2025
Department of Oncology, Shengli Oilfield Central Hospital, Dongying, China.
A major cause of cancer death, colorectal cancer is becoming more common in younger people. The comparative effectiveness of robotic versus laparoscopic total mesorectal excision (TME) as surgical interventions for mid-low rectal cancer following neoadjuvant chemoradiotherapy (nCRT) remains uncertain. To systematically evaluate oncological, perioperative, and survival outcomes of robotic versus laparoscopic surgery for mid-low rectal cancer following nCRT.
View Article and Find Full Text PDFBr J Cancer
September 2025
School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
Background: Studies examining the association of chronic kidney disease (CKD) with cancer risk have demonstrated conflicting results.
Methods: This was an individual participant data meta-analysis including 54 international cohorts contributing to the CKD Prognosis Consortium. Included cohorts had data on albuminuria [urine albumin-to-creatinine ratio (ACR)], estimated glomerular filtration rate (eGFR), overall and site-specific cancer incidence, and established risk factors for cancer.
Exp Cell Res
September 2025
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing, China. Electronic address:
Background: Enteric glial cells (EGCs) have been implicated in colorectal cancer (CRC) progression. This study aimed to develop and validate a prognostic model integrating EGC- and CRC-associated gene expression to predict patient survival, recurrence, metastasis, and therapy response.
Methods: Bulk and single-cell RNA sequencing data were analyzed, and a machine learning-based model was constructed using the RSF random forest algorithm.