Literature DB >> 26195120

The prognostic impact of age in different molecular subtypes of breast cancer.

Cornelia Liedtke1, Achim Rody, Oleg Gluz, Kristin Baumann, Daniel Beyer, Eva-Beatrice Kohls, Kerstin Lausen, Lars Hanker, Uwe Holtrich, Sven Becker, Thomas Karn.   

Abstract

Breast cancer is a heterogeneous entity composed of distinct molecular subgroups with different molecular and clinical features. We analyzed the association between molecular breast cancer subgroups, age at diagnosis, and prognosis in a compilation of publicly available gene expression datasets. Affymetrix gene expression data (U133A or U133Plus2.0 arrays) of 4467 breast cancers from 40 datasets were compiled and homogenized. Breast cancer subgroups were defined based on expression of ESR1, PR, HER2, and Ki67. Event-free survival was calculated as recurrence-free survival or distant metastasis-free survival if recurrence-free survival was not available. Young age at diagnosis is associated with higher frequency of triple negative and HER2 subtypes and lower frequency of luminal A breast cancers. The 5-year event-free survival rates of patients aged less than 40, between 40 and 50, and >50 years were 54.3 ± 3.5, 68.5 ± 1.9, and 70.4 ± 1.3 %, respectively. When controlling for breast cancer subtype, we found that age <40 years remained significantly associated with poor prognosis in triple negative breast cancer. The effect was modest in luminal tumors and not found in HER2 subtype. Both subtypes and age retained their significances in multivariate analysis. Association of age at diagnosis with molecular breast cancer subtype contributes to its important role as prognostic factor among patients with breast cancer. Still, within the group of triple negative breast cancer, young age <40 years has a significant prognostic value which was retained in multivariate analysis.

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Year:  2015        PMID: 26195120     DOI: 10.1007/s10549-015-3491-3

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  31 in total

1.  Gangliosides profiling in serum of breast cancer patient: GM3 as a potential diagnostic biomarker.

Authors:  Qinying Li; Mei Sun; Mingsheng Yu; Qianyun Fu; Hao Jiang; Guangli Yu; Guoyun Li
Journal:  Glycoconj J       Date:  2019-07-11       Impact factor: 2.916

Review 2.  Metastasis as a systemic disease: molecular insights and clinical implications.

Authors:  Maša Alečković; Sandra S McAllister; Kornelia Polyak
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2019-06-14       Impact factor: 10.680

3.  Refining breast cancer prognosis by incorporating age at diagnosis into clinical prognostic staging: introduction of a novel online calculator.

Authors:  Helen M Johnson; William Irish; Nasreen A Vohra; Jan H Wong
Journal:  Breast Cancer Res Treat       Date:  2021-02-20       Impact factor: 4.872

4.  O6-Methylguanine-DNA Methyltransferase and ATP-Binding Cassette Membrane Transporter G2 Promotor Methylation: Can Predict the Response to Chemotherapy in Advanced Breast Cancer?

Authors:  Sara Ahmed Aglan; Ahmad Mohamad Zaki; Amel Sobhy El Sedfy; Heba Gaber El-Sheredy; Ola Hussein Elgaddar
Journal:  Rep Biochem Mol Biol       Date:  2022-04

5.  S-phase fraction, lymph node status and disease staging as the main prognostic factors to differentiate between young and older patients with invasive breast carcinoma.

Authors:  António E Pinto; João Matos; Teresa Pereira; Giovani L Silva; Saudade André
Journal:  Oncol Lett       Date:  2022-08-04       Impact factor: 3.111

Review 6.  How the ageing microenvironment influences tumour progression.

Authors:  Mitchell Fane; Ashani T Weeraratna
Journal:  Nat Rev Cancer       Date:  2019-12-13       Impact factor: 60.716

7.  Young age at diagnosis is associated with worse prognosis in the Luminal A breast cancer subtype: a retrospective institutional cohort study.

Authors:  Zhiyang Liu; Zeyad Sahli; Yongchun Wang; Antonio C Wolff; Leslie M Cope; Christopher B Umbricht
Journal:  Breast Cancer Res Treat       Date:  2018-09-17       Impact factor: 4.872

8.  The prognostic value of age for invasive lobular breast cancer depending on estrogen receptor and progesterone receptor-defined subtypes: A NCDB analysis.

Authors:  Jieqiong Liu; Kai Chen; Kai Mao; Fengxi Su; Qiang Liu; Lisa K Jacobs
Journal:  Oncotarget       Date:  2016-02-02

9.  New insights into the prognostic value of Ki-67 labeling index in patients with triple-negative breast cancer.

Authors:  Shuang Hao; Zhi-Xian He; Ke-Da Yu; Wen-Tao Yang; Zhi-Min Shao
Journal:  Oncotarget       Date:  2016-04-26

10.  Conditional disease-free survival among patients with breast cancer.

Authors:  Hyun-June Paik; Se Kyung Lee; Jai Min Ryu; Sungmin Park; Isaac Kim; Soo Youn Bae; Jonghan Yu; Jeong Eon Lee; Seok Won Kim; Seok Jin Nam
Journal:  Medicine (Baltimore)       Date:  2017-01       Impact factor: 1.889

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