Purpose: The molecular mechanism of perineural invasion (PNI) in stage II colorectal cancer (CRC) remains not to be defined clearly. This study aims to identify the genomic aberrations related to PNI in stage II CRC.
Patients And Methods: Using array-based comparative genomic hybridization (array-CGH), primary tumor tissues and paracancerous normal tissues of stage II CRC with PNI and without PNI were analyzed. We identified genomic aberrations by using Genomic Workbench and MD-SeeGH and validated the aberrations of selected genes by real-time polymerase chain reaction (PCR). Gene ontology (GO) and pathway analysis were performed to determine the most likely biological effects of these genes.
Results: The most frequent gains in stage II CRC were at 7q11.21-q11.22, 8p11.21, 8p12-p11.23, 8q11.1-q11.22, 13q12.13-q12.2, and 20q11.21-q11.23 and the most frequent losses were at 17p13.1-p12, 8p23.2, and 118q11.2-q23. Four high-level amplifications at 8p11.23-p11.22, 18q21.1, 19q11-q12, and 20q11.21-q13.32 and homozygous deletions at 20p12.1 were discovered in Stage II CRC. Gains at 7q11.21-q22.1, 16p11.2, 17q23.3-q25.3, 19p13.3-p12, and 20p13-p11.1, and losses at 11q11-q12.1, 11p15.5-p15.1, 18p11.21, and 18q21.1-q23 were more commonly found in patients with PNI by frequency plot comparison together with detailed genomic analysis. It is also observed that gains at 8q11.1-q24.3, 9q13-q34.3, and 13q12.3-q13.1, and losses at 8p23.3-p12, 17p13.3-p11.2, and 21q22.12 occurred more frequently in patients without PNI. Further validation showed that the expression of FLT1, FBXW7, FGFR1, SLC20A2 and SERPINI1 was significantly up-regulated in the NPNI group compared to the PNI group. GO and pathway analysis revealed some genes enriched in specific pathways.
Conclusion: These involved genomic changes in the PNI of stage II CRC may be useful to reveal the mechanisms underlying PNI and provide candidate biomarkers.
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http://dx.doi.org/10.2147/OTT.S264616 | DOI Listing |
Am J Surg
December 2024
Department of Colorectal Surgery, Digestive Disease & Surgery Institute, Cleveland Clinic, Cleveland, OH, USA.
Background: Endoscopic submucosal dissection (ESD) is increasingly being adopted for the treatment of early-stage colorectal cancer (CRC) lesions.
Methods: We retrospectively analyzed patients with early-stage CRC treated between 2015 and 2023, using ESD and colectomy databases, categorizing them into three groups: ESD only (n = 24), oncological colorectal resection (OCR) only (n = 90), and OCR after ESD (n = 59). We compared pathological and oncological outcomes among these groups.
BMC Med Res Methodol
December 2024
Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Background: The aim of this study is to develop a method we call "cost mining" to unravel cost variation and identify cost drivers by modelling integrated patient pathways from primary care to the palliative care setting. This approach fills an urgent need to quantify financial strains on healthcare systems, particularly for colorectal cancer, which is the most expensive cancer in Australia, and the second most expensive cancer globally.
Methods: We developed and published a customized algorithm that dynamically estimates and visualizes the mean, minimum, and total costs of care at the patient level, by aggregating activity-based healthcare system costs (e.
Am J Surg
December 2024
Department of Colorectal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH, USA. Electronic address:
Background: Main purpose of this study is to investigate impact of tumor size on risk of lymph node metastasis (LNM) in pT1-stage colorectal cancer (CRC), focusing on colon, rectosigmoid junction, and rectum.
Method: Patients diagnosed with primary pT1 CRC between 2015 and 2019 were selected from National Cancer Database, utilizing International Classification of Diseases for Oncology, Third Edition (ICD-O-3) codes. We analyzed factors influencing LNM using uni- and multivariate analysis, then isolated tumor size to study its impact on LNM.
J Imaging
November 2024
General Surgery Department, Hassan II University Hospital, Fez 30050, Morocco.
Colorectal cancer is a major public health issue, causing significant morbidity and mortality worldwide. Treatment for colorectal cancer often has a significant impact on patients' quality of life, which can vary over time and across individuals. The application of artificial intelligence and machine learning techniques has great potential for optimizing patient outcomes by providing valuable insights.
View Article and Find Full Text PDFCurr Oncol
December 2024
Taichung Veterans General Hospital, Taichung 407219, Taiwan.
Aim: The tumor staging of colorectal cancer (CRC) plays a significant role in both treatment and prognosis, impacting surgical planning and adjuvant therapy decisions. Currently, the staging of CRC is based on the TNM system developed by the American Joint Committee on Cancer. Prior studies have suggested that survival rates and recurrent rates of T4a tumors appear to be worse than that of T4b tumors, although there is currently no consensus.
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