Literature DB >> 32416097

High Levels of Chromosomal Copy Number Alterations and TP53 Mutations Correlate with Poor Outcome in Younger Breast Cancer Patients.

Ayla Koçak1, Kerstin Heselmeyer-Haddad2, Annette Lischka3, Daniela Hirsch2, David Fiedler2, Yue Hu2, Natalie Doberstein3, Irianna Torres2, Wei-Dong Chen2, E Michael Gertz4, Alejandro A Schäffer4, Sandra Freitag-Wolf5, Jutta Kirfel6, Gert Auer7, Jens K Habermann8, Thomas Ried9.   

Abstract

Prognosis in young patients with breast cancer is generally poor, yet considerable differences in clinical outcomes between individual patients exist. To understand the genetic basis of the disparate clinical courses, tumors were collected from 34 younger women, 17 with good and 17 with poor outcomes, as determined by disease-specific survival during a follow-up period of 17 years. The clinicopathologic parameters of the tumors were complemented with DNA image cytometry profiles, enumeration of copy numbers of eight breast cancer genes by multicolor fluorescence in situ hybridization, and targeted sequence analysis of 563 cancer genes. Both groups included diploid and aneuploid tumors. The degree of intratumor heterogeneity was significantly higher in aneuploid versus diploid cases, and so were gains of the oncogenes MYC and ZNF217. Significantly more copy number alterations were observed in the group with poor outcome. Almost all tumors in the group with long survival were classified as luminal A, whereas triple-negative tumors predominantly occurred in the short survival group. Mutations in PIK3CA were more common in the group with good outcome, whereas TP53 mutations were more frequent in patients with poor outcomes. This study shows that TP53 mutations and the extent of genomic imbalances are associated with poor outcome in younger breast cancer patients and thus emphasize the central role of genomic instability vis-a-vis tumor aggressiveness.
Copyright © 2020 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32416097      PMCID: PMC7397461          DOI: 10.1016/j.ajpath.2020.04.015

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  64 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

4.  Single-cell genetic analysis reveals insights into clonal development of prostate cancers and indicates loss of PTEN as a marker of poor prognosis.

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Journal:  Am J Pathol       Date:  2014-08-14       Impact factor: 4.307

5.  Recurrent epimutation of SDHC in gastrointestinal stromal tumors.

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Journal:  Am J Pathol       Date:  2012-10-08       Impact factor: 4.307

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Journal:  Cancer Res       Date:  1995-11-15       Impact factor: 12.701

9.  Single-cell genetic analysis of clonal dynamics in colorectal adenomas indicates CDX2 gain as a predictor of recurrence.

Authors:  David Fiedler; Kerstin Heselmeyer-Haddad; Daniela Hirsch; Leanora S Hernandez; Irianna Torres; Darawalee Wangsa; Yue Hu; Luis Zapata; Josef Rueschoff; Sebastian Belle; Thomas Ried; Timo Gaiser
Journal:  Int J Cancer       Date:  2018-12-11       Impact factor: 7.396

Review 10.  Isochromosomes in neoplasia.

Authors:  F Mertens; B Johansson; F Mitelman
Journal:  Genes Chromosomes Cancer       Date:  1994-08       Impact factor: 5.006

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  3 in total

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Authors:  Guoli Shao; Xulong Fan; Pusheng Zhang; Xuewen Liu; Lei Huang; Shufeng Ji
Journal:  Cell Biol Toxicol       Date:  2022-07-23       Impact factor: 6.819

2.  Prognostic Value of the TP53 Mutation Location in Metastatic Breast Cancer as Detected by Next-Generation Sequencing.

Authors:  Han Bai; Jianjun Yu; Shidong Jia; Xiaoran Liu; Xu Liang; Huiping Li
Journal:  Cancer Manag Res       Date:  2021-04-15       Impact factor: 3.989

3.  Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data.

Authors:  Haoyun Lei; E Michael Gertz; Alejandro A Schäffer; Xuecong Fu; Yifeng Tao; Kerstin Heselmeyer-Haddad; Irianna Torres; Guibo Li; Liqin Xu; Yong Hou; Kui Wu; Xulian Shi; Michael Dean; Thomas Ried; Russell Schwartz
Journal:  Bioinformatics       Date:  2021-07-20       Impact factor: 6.931

  3 in total

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