Literature DB >> 33582655

Clinical and genomic characteristics of metabolic syndrome in colorectal cancer.

Yanyan Li1, Jungang Zhao2, Xiaoli Wu3, Yini Zhang3, Yin Jin3, Weiyang Cai3.   

Abstract

Metabolic syndrome (MetS) is characterized by a group of metabolic disturbances which leads to the enhanced risk of cancer development. Elucidating the mechanisms between these two pathologies is essential to identify the potential therapeutic molecular targets for colorectal cancer (CRC). 716 colorectal patients from the First and Second Affiliated Hospital of Wenzhou Medical University were involved in our study and metabolic disorders were proven to increase the risk of CRC. The prognostic value of the MetS factors was analyzed using the Cox regression model and a clinical MetS-based nomogram was established. Then by using multi-omics techniques, the distinct molecular mechanism of MetS genes in CRC was firstly systematically characterized. Strikingly, MetS genes were found to be highly correlated with the effectiveness of targeted chemotherapy administration, especially for mTOR and VEGFR pathways. Our results further demonstrated that overexpression of MetS core gene IL6 would promote the malignancy of CRC, which was highly dependent on mTOR-S6K signaling. In conclusion, we comprehensively explored the clinical value and molecular mechanism of MetS in the progression of CRC, which may serve as a candidate option for cancer management and therapy in the future.

Entities:  

Keywords:  colorectal cancer; drug sensitivity; metabolic syndrome (MetS); multi-omics

Mesh:

Substances:

Year:  2021        PMID: 33582655      PMCID: PMC7950286          DOI: 10.18632/aging.202474

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


  39 in total

1.  Overproduction of IGF-2 drives a subset of colorectal cancer cells, which specifically respond to an anti-IGF therapeutic antibody and combination therapies.

Authors:  H Zhong; C Fazenbaker; C Chen; S Breen; J Huang; X Yao; P Ren; Y Yao; R Herbst; R E Hollingsworth
Journal:  Oncogene       Date:  2016-07-11       Impact factor: 9.867

2.  Diagnosis and management of the metabolic syndrome. An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Executive summary.

Authors:  Scott M Grundy; James I Cleeman; Stephen R Daniels; Karen A Donato; Robert H Eckel; Barry A Franklin; David J Gordon; Ronald M Krauss; Peter J Savage; Sidney C Smith; John A Spertus; Fernando Costa
Journal:  Cardiol Rev       Date:  2005 Nov-Dec       Impact factor: 2.644

Review 3.  Drug metabolizing enzymes-associated chemo resistance and strategies to overcome it.

Authors:  Himanshu Verma; Malkeet Singh Bahia; Shalki Choudhary; Pankaj Kumar Singh; Om Silakari
Journal:  Drug Metab Rev       Date:  2019-07-01       Impact factor: 4.518

Review 4.  Distinct and overlapping functions of insulin and IGF-I receptors.

Authors:  J Nakae; Y Kido; D Accili
Journal:  Endocr Rev       Date:  2001-12       Impact factor: 19.871

Review 5.  Role of mTORC1 and mTORC2 in Breast Cancer: Therapeutic Targeting of mTOR and Its Partners to Overcome Metastasis and Drug Resistance.

Authors:  Ghazala Butt; Durray Shahwar; Muhammad Zahid Qureshi; Rukset Attar; Misbah Akram; Yelda Birinci; Gokce Seker Karatoprak; Maria Luisa Gasparri; Ammad Ahmad Farooqi
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

6.  Global patterns in excess body weight and the associated cancer burden.

Authors:  Hyuna Sung; Rebecca L Siegel; Lindsey A Torre; Jonathan Pearson-Stuttard; Farhad Islami; Stacey A Fedewa; Ann Goding Sauer; Kerem Shuval; Susan M Gapstur; Eric J Jacobs; Edward L Giovannucci; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-12-12       Impact factor: 508.702

7.  Diabetes, Obesity, and the Metabolic Syndrome as Prognostic Factors in Stages I to III Colorectal Cancer Patients.

Authors:  Brianna Croft; Melissa Reed; Caitlyn Patrick; Natalie Kovacevich; Ioannis A Voutsadakis
Journal:  J Gastrointest Cancer       Date:  2019-06

Review 8.  The Role of Aberrant Metabolism in Cancer: Insights Into the Interplay Between Cell Metabolic Reprogramming, Metabolic Syndrome, and Cancer.

Authors:  Yina Yu; Liang Gong; Jun Ye
Journal:  Front Oncol       Date:  2020-06-11       Impact factor: 6.244

9.  WGCNA: an R package for weighted correlation network analysis.

Authors:  Peter Langfelder; Steve Horvath
Journal:  BMC Bioinformatics       Date:  2008-12-29       Impact factor: 3.169

Review 10.  The Global Epidemic of the Metabolic Syndrome.

Authors:  Mohammad G Saklayen
Journal:  Curr Hypertens Rep       Date:  2018-02-26       Impact factor: 5.369

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