Elevated expression of S100P has been detected in several tumor types. To analyze the potential use of S100P for the prediction of colorectal cancer (CRC) metastasis and prognosis, S100P expression was detected in 125 patients with colon adenocarcinoma by immunohistochemistry, followed by correlation and survival analysis. High S100P expression was correlated with metastasis, as demonstrated by clinically relevant data, and predicted poor survival more effectively than preoperative serum carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) levels in colon adenocarcinoma. Stable S100P knockdown CRC cell lines were established to elucidate the relationship between S100P expression and tumor progression in vitro and in vivo. S100P knockdown resulted in reductions in the invasiveness and metastasis of CRC cells. Xenograft growth in nude mice also demonstrated that down-regulated S100P dramatically inhibited peritoneal metastasis of CRC cells. S100P promoted the invasion and metastasis of CRC by activating RAGE/ERK signaling and promoting the epithelial-mesenchymal transition (EMT). RAGE was found to be crucial for S100P-mediated EMT in colon cancer. Knockdown of RAGE in S100P-overexpressing colon cancer cells dramatically suppressed EMT process. Our results indicate that overexpression of S100P is related with an invasive and metastatic phenotype of CRC which is EMT-involved and RAGE dependent.
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http://dx.doi.org/10.1016/j.cancergen.2016.02.002 | DOI Listing |
Microbiome
December 2024
Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Background: Studies have reported clinical heterogeneity between right-sided colon cancer (RCC) and left-sided colon cancer (LCC). However, none of these studies used multi-omics analysis combining genetic regulation, microbiota, and metabolites to explain the site-specific difference.
Methods: Here, 494 participants from a 16S rRNA gene sequencing cohort (50 RCC, 114 LCC, and 100 healthy controls) and a multi-omics cohort (63 RCC, 79 LCC, and 88 healthy controls) were analyzed.
Gut Pathog
December 2024
Department of Gerontology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, 211166, China.
Background: Sepsis represents the most prevalent infectious complication and the primary cause of mortality in myeloproliferative neoplasms (MPN). The risk of sepsis and the difficulty of treatment are significantly increased in MPN patients due to the need for immunomodulators and antibiotics.
Case Presentation: On June 9, 2023, a 69-year-old male was admitted to the hospital.
Curr Issues Mol Biol
December 2024
Department of Medical Biochemistry, Trabzon Kanuni Health Practice and Research Hospital, Trabzon Faculty of Medicine, University of Health Sciences, Trabzon 61250, Turkey.
Gastrointestinal tract cancers account for approximately one-third of cancer-related deaths. Early diagnosis and effective treatment are the most important ways to prevent cancer-related morbidity and mortality. ROMO1 has been shown to play an important role in many types of cancer.
View Article and Find Full Text PDFNucl Med Rev Cent East Eur
December 2024
Department of Nuclear Medicine, School of Medicine, Hasheminejad Hospital, Iran University of Medical Sciences, Tehran, Iran.
Background: Bone metastases are complications of many cancers, including colon cancer. Whole body bone scan is commonly used to detect bone metastases in these patients. Bone scan findings are sensitive for detecting metastases but with less experience and especially without the use of single photon emission computed tomography/computed tomography (SPECT/CT) images, they are less specific.
View Article and Find Full Text PDFGene
December 2024
Department of Anesthesiology, Xiangya Hospital, Central South University, Hunan Changsha 410008, China. Electronic address:
Purpose: This study aimed to identify a lactylation-related gene signature for predicting prognosis and guiding therapies in colon adenocarcinoma (COAD). We seek to address the challenges in COAD prognostication due to tumor heterogeneity and variable treatment responses.
Methods: The study employed integrative bioinformatics analyses on multi-omics data from public databases, including gene expression profiles, clinical data, and lactylation-related genes (LRGs).
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