Literature DB >> 31532272

L1CAM expression in colorectal cancer identifies a high-risk group of patients with dismal prognosis already in early-stage disease.

Athanasios Tampakis1,2, Ekaterini Christina Tampaki2, Afroditi Nonni3, Gerasimos Tsourouflis2, Alberto Posabella1, Efstratios Patsouris3, Konstantinos Kontzoglou2, Markus von Flüe1, Nikolaos Nikiteas2, Gregory Kouraklis2.   

Abstract

Background: Metastatic disease in colorectal cancer represents a major cause of significant cancer-associated morbidity and mortality. L1CAM is a stem cell marker, cell adhesion molecule, belongs to the immunoglobulin superfamily of cell adhesion molecules (IgCAM) and it is aberrantly expressed in several different types of human solid tumors. The aim of the present study was to assess the expression patterns of L1CAM and its clinical significance in colorectal cancer.Patients and methods: Surgical specimens of 109 patients with primary resectable colorectal cancer were examined for L1CAM expression via immunohistochemistry and the results were correlated with clinical and survival data.
Results: L1CAM expression was significantly correlated with advanced stage of disease (p < .001), higher T classification (p = .040), the presence of lymph node (p < .001) and distant metastasis (p = .011). Patients displaying high L1CAM expression demonstrated a dismal three-year progression free survival (29.7% vs 87.1%, p < .001) and five-year overall survival (39.9% vs 87.7%, p < .001). Multivariate analysis using Cox proportional hazard models revealed high L1CAM expression as a prognostic marker of dismal progression free (HR 0.187, 95%CI = 0.075-0.467, p < .0001) and overall survival (HR 0.154, 95%CI = 0.049-0.483, p = .001) independent of other clinicopathological characteristics. Subgroup analysis comprised of patients with early stage disease only presented as well significantly worse progression free and overall survival when L1CAM exhibited high expression.Conclusions: Colorectal cancer patients displaying high expression of L1CAM harbor high risk for metastasis already in early stage disease identifying therefore a group of patients prone to dismal prognosis.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31532272     DOI: 10.1080/0284186X.2019.1667022

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  8 in total

1.  Growth Pattern of Hepatic Metastasis as a Prognostic Index Reflecting Liver Metastasis-Associated Survival in Breast Cancer Liver Metastasis.

Authors:  Jieun Lee; Moonhyung Choi; Seungyeon Joe; Kabsoo Shin; Sung-Hak Lee; Ahwon Lee
Journal:  J Clin Med       Date:  2022-05-18       Impact factor: 4.964

2.  Potential Prognostic Immune Biomarkers of Overall Survival in Ovarian Cancer Through Comprehensive Bioinformatics Analysis: A Novel Artificial Intelligence Survival Prediction System.

Authors:  Tingshan He; Liwen Huang; Jing Li; Peng Wang; Zhiqiao Zhang
Journal:  Front Med (Lausanne)       Date:  2021-05-24

3.  High fascin-1 expression in colorectal cancer identifies patients at high risk for early disease recurrence and associated mortality.

Authors:  Athanasios Tampakis; Ekaterini-Christina Tampaki; Afrodite Nonni; Ioannis D Kostakis; Alberto Posabella; Konstantinos Kontzoglou; Markus von Flüe; Evangelos Felekouras; Gregory Kouraklis; Nikolaos Nikiteas
Journal:  BMC Cancer       Date:  2021-02-12       Impact factor: 4.430

4.  Exploration of an Integrative Prognostic Model of Radiogenomics Features With Underlying Gene Expression Patterns in Clear Cell Renal Cell Carcinoma.

Authors:  Yeqian Huang; Hao Zeng; Linyan Chen; Yuling Luo; Xuelei Ma; Ye Zhao
Journal:  Front Oncol       Date:  2021-03-08       Impact factor: 6.244

5.  Transcription Factors Leading to High Expression of Neuropeptide L1CAM in Brain Metastases from Lung Adenocarcinoma and Clinical Prognostic Analysis.

Authors:  Xu Feng; Ning Guan; Enshi Xu; Ye Miao; Chenguang Li
Journal:  Dis Markers       Date:  2021-12-30       Impact factor: 3.434

6.  Catulin Based Reporter System to Track and Characterize the Population of Invasive Cancer Cells in the Head and Neck Squamous Cell Carcinoma.

Authors:  Kamila Karpińska; Mateusz Gielata; Aleksandra Gwiazdowska; Łukasz Boryń; Agnieszka Kobielak
Journal:  Int J Mol Sci       Date:  2021-12-23       Impact factor: 5.923

Review 7.  Nerve Dependence in Colorectal Cancer.

Authors:  Lincheng Zhang; Ludi Yang; Shuheng Jiang; Minhao Yu
Journal:  Front Cell Dev Biol       Date:  2022-02-10

8.  Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system.

Authors:  Zhiqiao Zhang; Liwen Huang; Jing Li; Peng Wang
Journal:  BMC Bioinformatics       Date:  2022-04-08       Impact factor: 3.169

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.