Colorectal cancer (CRC) is the third most common cause of cancer-associated mortality worldwide. Currently, 5-fluorouracil (5-FU) remains a widely used chemotherapeutic drug in the treatment of CRC; however, 5-FU resistance during treatment has become a common problem. Livin, a member of the inhibitor of apoptosis protein family, is considered to be associated with tumor resistance to chemotherapy. In the present study, Livin-silenced cells were generated by introducing a lentivirus into HCT116 and SW620 colon cancer cell lines. Acridine orange/ethidium bromide staining was used as an indicator of cell death. Western blot analysis was performed to detect protein expression levels, and transmission electron microscopy was used to assess autophagy. The half-maximal inhibitory concentration of 5-FU in colon cancer cells was evaluated using a Cell Counting Kit-8 assay. The results of the present study confirmed that silencing Livin significantly enhanced colon cancer cell death in the presence of 5-FU, increased expression levels of various apoptosis- and autophagy-associated proteins and augmented chemotherapeutic sensitivity to 5-FU. Furthermore, the present study demonstrated that this effect may be reversed when autophagy or apoptosis was inhibited, indicating that apoptosis and autophagy were involved in this process. The protein kinase B signaling pathway and B-cell lymphoma-2 expression levels significantly decreased following Livin knockdown, suggesting they may contribute to the regulation of apoptosis and autophagy crosstalk, which caused the Livin knockdown-induced cell death observed.
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http://dx.doi.org/10.3892/ol.2018.8282 | DOI Listing |
Clin Cancer Res
January 2025
ACTREC, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Purpose: Identifying therapeutic targets for Signet Ring Cell Carcinoma (SRCC) of the colon and rectum is a clinical challenge due to the lack of Patient-Derived Organoids (PDO) or Xenografts (PDX). We present a robust method to establish PDO and PDX models to answer address this unmet need. We demonstrate that these models identify novel therapeutic strategies targeting therapy resistance and peritoneal metastasis.
View Article and Find Full Text PDFJ Cancer Surviv
January 2025
School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Purpose: This meta-analysis aims to estimate the global prevalence of severe, moderate, overall malnutrition and moderating factors of malnutrition in colorectal cancer (CRC) survivors.
Methods: A comprehensive search was conducted in Embase, CINAHL, Medline-OVID, PubMed, Scopus, and Web of Science from inception to February 8, 2024, without language, region, or publication date restrictions. A generalized linear mixed model and random-effects model were used to examine the pooled prevalence, and moderator analyses were implemented to investigate variations in the pooled prevalence.
Discov Oncol
January 2025
Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China.
Aim: To construct a predictive model based on the LODDS stage established for patients with late-onset colon adenocarcinoma to enhance survival stratification.
Methods: Late-onset colon adenocarcinoma data were obtained from the public database. After determining the optimal LODDS truncation value for the training set via X-tile software, we created a new staging system by integrating the T stage and M stage.
Am J Gastroenterol
January 2025
Division of Endoscopy, Shizuoka Cancer Center, Shizuoka, Japan.
ANZ J Surg
January 2025
Colorectal Unit, Department of General Surgery, The Alfred, Melbourne, Victoria, Australia.
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