Background: Despite survival improvements for other cancers, the prognosis of resected mass-forming cholangiocellular carcinoma (MFCCC) remains dismal. As a possible background of that, biologic factors could play some role. KRAS mutation has been investigated in the present systematic review and meta-analysis.
Methods: MEDLINE, Embase and Cochrane Library databases were searched for studies reporting overall survival (OS) following liver resection for MFCCC with known KRAS status. Secondary outcomes included completeness of resection (R1 vs R0), pathological lymph node (LN) rate, tumor burden (multiple vs single), perineural invasion (PI) rate.
Results: Eight studies comprising 604 patients resected for MFCCC were eligible for analysis. Of these, 23% of patients were mKRAS. The mKRAS MFCCC showed lower 1-year OS [odd ratio (OR) 3.45, 95% confidence interval (CIs) 1.85-6.42; p < 0.001], 3-years OS (OR 4.82, 95% CI 2.63-8.84; p < 0.001), and 5-years OS (OR 10.60, 95% CI 3.12-36.03; p < 0.001) compared to wtKRAS. Pooled-R1 resection rate was 18% for mKRAS and 23% for those with wtKRAS (OR 1.71, 95%CIs 0.70-4.19; p = 0.239). The pooled-pathological LNs rate was 23% in mKRAS vs 17% (OR 2.36, 95%CIs 0.75-7.48; p = 0.144). The pooled-multifocality rate was 55% in mKRAS vs 19% (OR 5.38, 95%CIs 1.76-16.48; p = 0.003), while the pooled-PI was 77% vs 31% (OR 6.59, 95%CIs 2.13-20.37; p = 0.001).
Conclusion: The KRAS mutation is relatively frequent in MFCCC. The mKRAS is strongly associated with a shortened survival and higher tumoral aggressiveness. Testing for KRAS mutations could be a valuable adjunct in opening a scenario to new treatments and improving prognosis of patients with MFCCC.
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http://dx.doi.org/10.1016/j.ejso.2022.03.005 | DOI Listing |
Int J Biol Sci
January 2025
Department of Toxicology and Cancer Biology, College of Medicine, University of Kentucky, Lexington, Kentucky, USA.
Most tumors initially respond to treatment, yet refractory clones subsequently develop owing to resistance mechanisms associated with cancer cell plasticity and heterogeneity. We used a chemical biology approach to identify protein targets in cancer cells exhibiting diverse driver mutations and representing models of tumor lineage plasticity and therapy resistance. An unbiased screen of a drug library was performed against cancer cells followed by synthesis of chemical analogs of the most effective drug.
View Article and Find Full Text PDFMed J Islam Repub Iran
September 2024
Department of Oncology, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Background: The narrative review aims to explore CRC pathogenesis by deciphering genetic-environmental interactions, analyzing the tumor microenvironment's role, and assessing treatment responses. These objectives seek to enhance clinical decision-making and improve CRC patient care through a comprehensive understanding of the disease.
Methods: A narrative review from 2019 to 2024 on colorectal cancer (CRC) pathogenesis and treatment strategies was conducted.
Exp Mol Med
January 2025
Department of Molecular Science and Technology, Ajou University, Suwon, South Korea.
Most cancer mutation profiling studies are laboratory-based and lack direct clinical application. For clinical use, it is necessary to focus on key genes and integrate them with relevant clinical variables. We aimed to evaluate the prognostic value of the dosage of the KRAS G12 mutation, a key pancreatic ductal adenocarcinoma (PDAC) variant and to investigate the biological mechanism of the prognosis associated with the dosage of the KRAS G12 mutation.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Clinical Pharmacology and Quantitative Science, Genmab Inc, Princeton, NJ, USA.
Tumor genomic profiling is often limited to one or two timepoints due to the invasiveness of tissue biopsies, but longitudinal profiling may provide deeper clinical insights. Using ctDNA data from IMpower150 study, we examined genetic changes in metastatic non-squamous NSCLC post-first-line immunotherapy. Mutations were most frequently detected in TP53, KRAS, SPTA1, FAT3, and LRP1B at baseline and during treatment.
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