Literature DB >> 31896605

Network Inference Analysis Identifies SETDB1 as a Key Regulator for Reverting Colorectal Cancer Cells into Differentiated Normal-Like Cells.

Soobeom Lee1, Chansu Lee2, Chae Young Hwang1, Dongsan Kim1, Younghyun Han1, Sung Noh Hong2, Seok-Hyung Kim3, Kwang-Hyun Cho4.   

Abstract

Cancer cells exhibit properties of cells in a less differentiated state than the adjacent normal cells in the tissue. We explored whether cancer cells can be converted to a differentiated normal-like state by restoring the gene regulatory network (GRN) of normal cells. Here, we report that colorectal cancer cells exhibit a range of developmental states from embryonic and intestinal stem-like cells to differentiated normal-like cells. To identify the transcription factors (TF) that commit stem-like colorectal cancer cells into a differentiated normal-like state, we reconstructed GRNs of normal colon mucosa and identified core TFs (CDX2, ELF3, HNF4G, PPARG, and VDR) that govern the cellular state. We further found that SET Domain Bifurcated 1 (SETDB1), a histone H3 lysine 9-specific methyltransferase, hinders the function of the identified TFs. SETDB1 depletion effectively converts stem-like colorectal cancer cells into postmitotic cells and restores normal morphology in patient-derived colorectal cancer organoids. RNA-sequencing analyses revealed that SETDB1 depletion recapitulates global gene expression profiles of normal differentiated cells by restoring the transcriptional activity of core TFs on their target genes. IMPLICATIONS: Our study provides insights into the molecular regulatory mechanism underlying the developmental hierarchy of colorectal cancer and suggests that induction of a postmitotic state may be a therapeutic alternative to destruction of cancer cells. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 31896605     DOI: 10.1158/1541-7786.MCR-19-0450

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  6 in total

Review 1.  Targeting Cancer Stem Cells through Epigenetic Modulation of Interferon Response.

Authors:  Jau-Ling Huang; Si-Yun Chen; Chang-Shen Lin
Journal:  J Pers Med       Date:  2022-04-01

Review 2.  Insight into the multi-faceted role of the SUV family of H3K9 methyltransferases in carcinogenesis and cancer progression.

Authors:  Nirmalya Saha; Andrew G Muntean
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2020-12-26       Impact factor: 10.680

Review 3.  Tumor reversion: a dream or a reality.

Authors:  Avantika Tripathi; Anjali Kashyap; Greesham Tripathi; Joni Yadav; Rakhi Bibban; Nikita Aggarwal; Kulbhushan Thakur; Arun Chhokar; Mohit Jadli; Ashok Kumar Sah; Yeshvandra Verma; Hatem Zayed; Amjad Husain; Alok Chandra Bharti; Manoj Kumar Kashyap
Journal:  Biomark Res       Date:  2021-05-06

4.  Systems biology for reverse aging.

Authors:  Kwang-Hyun Cho; Sugyun An; Junsoo Kang
Journal:  Aging (Albany NY)       Date:  2021-06-09       Impact factor: 5.682

5.  High SET Domain Bifurcated 1 (SETDB1) Expression Predicts Poor Prognosis in Breast Carcinoma.

Authors:  Zhaoping Zhou; Baojin Wu; Xinjie Tang; Wenlin Yang; Qiang Zou; Hongying Wang
Journal:  Med Sci Monit       Date:  2020-04-19

Review 6.  SETDB1 in cancer: overexpression and its therapeutic implications.

Authors:  Vanessa J Lazaro-Camp; Kiarash Salari; Xiangbing Meng; Shujie Yang
Journal:  Am J Cancer Res       Date:  2021-05-15       Impact factor: 6.166

  6 in total

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