Literature DB >> 30894373

An Interactive Resource to Probe Genetic Diversity and Estimated Ancestry in Cancer Cell Lines.

Julie Dutil1, Zhihua Chen2, Alvaro N Monteiro3, Jamie K Teer2, Steven A Eschrich4.   

Abstract

Recent work points to a lack of diversity in genomics studies from genome-wide association studies to somatic (tumor) genome analyses. Yet, population-specific genetic variation has been shown to contribute to health disparities in cancer risk and outcomes. Immortalized cancer cell lines are widely used in cancer research, from mechanistic studies to drug screening. Larger collections of cancer cell lines better represent the genomic heterogeneity found in primary tumors. Yet, the genetic ancestral origin of cancer cell lines is rarely acknowledged and often unknown. Using genome-wide genotyping data from 1,393 cancer cell lines from the Catalogue of Somatic Mutations in Cancer (COSMIC) and Cancer Cell Line Encyclopedia (CCLE), we estimated the genetic ancestral origin for each cell line. Our data indicate that cancer cell line collections are not representative of the diverse ancestry and admixture characterizing human populations. We discuss the implications of genetic ancestry and diversity of cellular models for cancer research and present an interactive tool, Estimated Cell Line Ancestry (ECLA), where ancestry can be visualized with reference populations of the 1000 Genomes Project. Cancer researchers can use this resource to identify cell line models for their studies by taking ancestral origins into consideration. ©2019 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2019        PMID: 30894373      PMCID: PMC6445675          DOI: 10.1158/0008-5472.CAN-18-2747

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  155 in total

1.  Genomics for the world.

Authors:  Carlos D Bustamante; Esteban González Burchard; Francisco M De la Vega
Journal:  Nature       Date:  2011-07-13       Impact factor: 49.962

Review 2.  A perfect storm: How tumor biology, genomics, and health care delivery patterns collide to create a racial survival disparity in breast cancer and proposed interventions for change.

Authors:  Bobby Daly; Olufunmilayo I Olopade
Journal:  CA Cancer J Clin       Date:  2015-04-09       Impact factor: 508.702

3.  Replication of breast cancer GWAS susceptibility loci in the Women's Health Initiative African American SHARe Study.

Authors:  Carolyn M Hutter; Alicia M Young; Heather M Ochs-Balcom; Cara L Carty; Tao Wang; Christina T L Chen; Thomas E Rohan; Charles Kooperberg; Ulrike Peters
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-07-27       Impact factor: 4.254

4.  Changing the paradigm from 'race' to human genome variation.

Authors:  Charmaine D M Royal; Georgia M Dunston
Journal:  Nat Genet       Date:  2004-11       Impact factor: 38.330

5.  Integrating global gene expression and radiation survival parameters across the 60 cell lines of the National Cancer Institute Anticancer Drug Screen.

Authors:  Sally A Amundson; Khanh T Do; Lisa C Vinikoor; R Anthony Lee; Christine A Koch-Paiz; Jaeyong Ahn; Mark Reimers; Yidong Chen; Dominic A Scudiero; John N Weinstein; Jeffrey M Trent; Michael L Bittner; Paul S Meltzer; Albert J Fornace
Journal:  Cancer Res       Date:  2008-01-15       Impact factor: 12.701

6.  Genome-wide association study of breast cancer in Latinas identifies novel protective variants on 6q25.

Authors:  Laura Fejerman; Nasim Ahmadiyeh; Donglei Hu; Scott Huntsman; Kenneth B Beckman; Jennifer L Caswell; Karen Tsung; Esther M John; Gabriela Torres-Mejia; Luis Carvajal-Carmona; María Magdalena Echeverry; Anna Marie D Tuazon; Carolina Ramirez; Christopher R Gignoux; Celeste Eng; Esteban Gonzalez-Burchard; Brian Henderson; Loic Le Marchand; Charles Kooperberg; Lifang Hou; Ilir Agalliu; Peter Kraft; Sara Lindström; Eliseo J Perez-Stable; Christopher A Haiman; Elad Ziv
Journal:  Nat Commun       Date:  2014-10-20       Impact factor: 14.919

7.  A prospective, molecular epidemiology study of EGFR mutations in Asian patients with advanced non-small-cell lung cancer of adenocarcinoma histology (PIONEER).

Authors:  Yuankai Shi; Joseph Siu-Kie Au; Sumitra Thongprasert; Sankar Srinivasan; Chun-Ming Tsai; Mai Trong Khoa; Karin Heeroma; Yohji Itoh; Gerardo Cornelio; Pan-Chyr Yang
Journal:  J Thorac Oncol       Date:  2014-02       Impact factor: 15.609

Review 8.  Assessing the Racial and Ethnic Disparities in Breast Cancer Mortality in the United States.

Authors:  Clement G Yedjou; Paul B Tchounwou; Marinelle Payton; Lucio Miele; Duber D Fonseca; Leroy Lowe; Richard A Alo
Journal:  Int J Environ Res Public Health       Date:  2017-05-05       Impact factor: 3.390

9.  COSMIC: somatic cancer genetics at high-resolution.

Authors:  Simon A Forbes; David Beare; Harry Boutselakis; Sally Bamford; Nidhi Bindal; John Tate; Charlotte G Cole; Sari Ward; Elisabeth Dawson; Laura Ponting; Raymund Stefancsik; Bhavana Harsha; Chai Yin Kok; Mingming Jia; Harry Jubb; Zbyslaw Sondka; Sam Thompson; Tisham De; Peter J Campbell
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

10.  Expression of aldehyde dehydrogenase 1 (ALDH1) is associated with basal-like markers and features of aggressive tumours in African breast cancer.

Authors:  H Nalwoga; J B Arnes; H Wabinga; L A Akslen
Journal:  Br J Cancer       Date:  2009-12-15       Impact factor: 7.640

View more
  21 in total

1.  APOBEC3B expression in breast cancer cell lines and tumors depends on the estrogen receptor status.

Authors:  Krizia-Ivana Udquim; Clara Zettelmeyer; A Rouf Banday; Seraph Han-Yin Lin; Ludmila Prokunina-Olsson
Journal:  Carcinogenesis       Date:  2020-08-12       Impact factor: 4.944

2.  Bioengineering Approaches to Improve Gynecological Cancer Outcomes.

Authors:  Ali Abbaspour; Andrea L Casillas; Stephanie M McGregor; Pamela K Kreeger
Journal:  Curr Opin Biomed Eng       Date:  2022-03-30

3.  Establishment and characterization of NCC-PS1-C1: a novel cell line of pleomorphic sarcoma from a patient after neoadjuvant radiotherapy.

Authors:  Taro Akiyama; Yuki Yoshimatsu; Rei Noguchi; Yooksil Sin; Ryuto Tsuchiya; Takuya Ono; Jun Sugaya; Eisuke Kobayashi; Akihiko Yoshida; Seiji Ohtori; Akira Kawai; Tadashi Kondo
Journal:  Hum Cell       Date:  2022-09-14       Impact factor: 4.374

Review 4.  Computational estimation of quality and clinical relevance of cancer cell lines.

Authors:  Lucia Trastulla; Javad Noorbakhsh; Francisca Vazquez; James McFarland; Francesco Iorio
Journal:  Mol Syst Biol       Date:  2022-07       Impact factor: 13.068

5.  Establishment and characterization of NCC-DDLPS5-C1: a novel patient-derived cell line of dedifferentiated liposarcoma.

Authors:  Yooksil Sin; Yuki Yoshimatsu; Rei Noguchi; Ryuto Tsuchiya; Takuya Ono; Taro Akiyama; Shintaro Iwata; Jun Sugaya; Akihiko Yoshida; Akira Kawai; Tadashi Kondo
Journal:  Hum Cell       Date:  2022-03-15       Impact factor: 4.374

6.  Role of TET1 and 5hmC in an Obesity-Linked Pathway Driving Cancer Stem Cells in Triple-Negative Breast Cancer.

Authors:  Bin Bao; Emily A Teslow; Cristina Mitrea; Julie L Boerner; Greg Dyson; Aliccia Bollig-Fischer
Journal:  Mol Cancer Res       Date:  2020-09-10       Impact factor: 5.852

7.  Nonlinear mixed-effects models for modeling in vitro drug response data to determine problematic cancer cell lines.

Authors:  Farnoosh Abbas-Aghababazadeh; Pengcheng Lu; Brooke L Fridley
Journal:  Sci Rep       Date:  2019-10-08       Impact factor: 4.379

8.  PopInf: An Approach for Reproducibly Visualizing and Assigning Population Affiliation in Genomic Samples of Uncertain Origin.

Authors:  Angela M Taravella Oill; Anagha J Deshpande; Heini M Natri; Melissa A Wilson
Journal:  J Comput Biol       Date:  2020-10-19       Impact factor: 1.479

9.  Kasumi leukemia cell lines: characterization of tumor genomes with ethnic origin and scales of genomic alterations.

Authors:  Fumio Kasai; Hiroya Asou; Midori Ozawa; Kazuhiko Kobayashi; Hiroyuki Kuramitsu; Motonobu Satoh; Arihiro Kohara; Yasuhiko Kaneko; Machiko Kawamura
Journal:  Hum Cell       Date:  2020-03-16       Impact factor: 4.174

10.  Ancestry-dependent gene expression correlates with reprogramming to pluripotency and multiple dynamic biological processes.

Authors:  Laura S Bisogno; Jun Yang; Brian D Bennett; James M Ward; Lantz C Mackey; Lois A Annab; Pierre R Bushel; Sandeep Singhal; Shepherd H Schurman; Jung S Byun; Anna María Nápoles; Eliseo J Pérez-Stable; David C Fargo; Kevin Gardner; Trevor K Archer
Journal:  Sci Adv       Date:  2020-11-20       Impact factor: 14.136

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.