Objective: At present, no consensus exists on the beneficial effect of preoperative cisplatin/5-fluorouracil (5-FU)-based chemotherapy versus primary surgery in the management of patients with esophageal cancer. The aim of this study was to evaluate the impact of some relevant genetic polymorphisms, within drug-related and DNA repair genes, on the clinical outcome of esophageal cancer patients subjected to cisplatin/5-FU-based neoadjuvant treatment.
Methods: DNA from 143 esophageal cancer patients, 63 receiving neoadjuvant therapy and 80 receiving primary surgery, was analyzed for the following polymorphisms: the GSTM1 null, GSTT1 null, and GSTP1 Ile105Val (rs16953) in glutathione S-transferase (GST) family, 2 in thymidylate synthase (TS) gene, and the ERCC1 Asn118Asn (rs11615), ERCC1 C8092A (rs3212986), XPD/ERCC2 Asp312Asn (rs1799793), and XPD/ERCC2 Lys751Gln (rs13181) of the nucleotide excision repair pathway.
Results: We found that the ERCC1 rs3212986, although not associated with therapeutic response, is an independent predictive marker of better outcome in a cisplatin/5-FU-based neoadjuvant setting (hazard ratio: 0.38, 95% confidence interval: 0.2-0.73, P=0.008). In contrast, no association with clinical outcome was observed for this polymorphism in the primary surgery group.
Conclusion: Our study indicates the ERCC1 rs3212986 as a predictive marker in the cisplatin/5-FU-based neoadjuvant setting, and also suggests its use as a marker to select the appropriate therapeutic approach in esophageal cancer patients.
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http://dx.doi.org/10.1097/FPC.0b013e3283653afc | DOI Listing |
Front Med (Lausanne)
January 2025
Department Three of Orthopedics/Plastic Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Objective: This study systematically evaluated the efficacy of programmed death 1 (PD-1) inhibitors combined with chemotherapy for advanced esophageal cancer (EC).
Methods: PubMed, Embase, Web of Science, Scopus, and Cochrane Library were searched to identify related randomized controlled trials (RCTs).
Results: Seven RCTs involving 4,363 participants were included.
AME Case Rep
December 2024
Department of Medical Oncology, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, China.
Background: Gastric cancer (GC) is one of the leading contributors to global malignancies incidence and mortality worldwide. Advanced GC had a relatively poor prognosis. The emerging of targeted therapy improved the survival and prognosis of GC patients.
View Article and Find Full Text PDFIUBMB Life
January 2025
Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China.
Esophageal cancer, with its aggressive nature and high mortality, poses diverse epidemiological challenges worldwide. Over the past three decades, esophageal cancer has exhibited a substantial global burden, marked by a significant increase in absolute numbers, contrasting with a decline in age-standardized metrics. Prevalence nearly doubled, reaching 0.
View Article and Find Full Text PDFBiochemistry (Mosc)
December 2024
Moscow Institute of Physics and Technology, Dolgoprudny, 141701, Russia.
Activation of the p38 mitogen-activated protein kinase (MAPK) pathways is vital in regulating cell growth, differentiation, apoptosis, and stress response, significantly affecting tumorigenesis and cancer progression. We developed a bioinformatic technique to construct an interactome network-based molecular pathways for genes of interest and quantify their activation levels using high-throughput gene expression data. This study is focused on the p38α, p38β, p38γ, and p38δ kinases, examining their activation levels (PALs) based on transcriptomic data and their associations with survival and drug responsiveness across various cancer types.
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