Literature DB >> 33340095

Molecular intrinsic versus clinical subtyping in breast cancer: A comprehensive review.

Agata Szymiczek1, Amna Lone1, Mohammad R Akbari1,2,3.   

Abstract

Breast cancer is a heterogeneous disease manifesting diversity at the molecular, histological and clinical level. The development of breast cancer classification was centered on informing clinical decisions. The current approach to the classification of breast cancer, which categorizes this disease into clinical subtypes based on the detection of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and proliferation marker Ki67, is not ideal. This is manifested as a heterogeneity of therapeutic responses and outcomes within the clinical subtypes. The newer classification model, based on gene expression profiling (intrinsic subtyping) informs about transcriptional responses downstream from IHC single markers, revealing deeper appreciation for the disease heterogeneity and capturing tumor biology in a more comprehensive way than an expression of a single protein or gene alone. While accumulating evidences suggest that intrinsic subtypes provide clinically relevant information beyond clinical surrogates, it is imperative to establish whether the current conventional immunohistochemistry-based clinical subtyping approach could be improved by gene expression profiling and if this approach has a potential to translate into clinical practice.
© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  breast cancer; gene expression profiling; hormone receptor; intrinsic subtyping; prognosis; response to treatment

Mesh:

Substances:

Year:  2020        PMID: 33340095     DOI: 10.1111/cge.13900

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


  11 in total

1.  Multiclass Cancer Prediction Based on Copy Number Variation Using Deep Learning.

Authors:  Haleema Attique; Sajid Shah; Saima Jabeen; Fiaz Gul Khan; Ahmad Khan; Mohammed ELAffendi
Journal:  Comput Intell Neurosci       Date:  2022-06-09

2.  Breast Cancer Incidence, Hormone Receptor Status, Historical Redlining, and Current Neighborhood Characteristics in Massachusetts, 2005-2015.

Authors:  Emily Wright; Pamela D Waterman; Christian Testa; Jarvis T Chen; Nancy Krieger
Journal:  JNCI Cancer Spectr       Date:  2022-03-02

Review 3.  Molecular Oncology of Bladder Cancer from Inception to Modern Perspective.

Authors:  Soum D Lokeshwar; Maite Lopez; Semih Sarcan; Karina Aguilar; Daley S Morera; Devin M Shaheen; Bal L Lokeshwar; Vinata B Lokeshwar
Journal:  Cancers (Basel)       Date:  2022-05-24       Impact factor: 6.575

4.  Identification of long non-coding RNAs and RNA binding proteins in breast cancer subtypes.

Authors:  Claudia Cava; Alexandros Armaos; Benjamin Lang; Gian G Tartaglia; Isabella Castiglioni
Journal:  Sci Rep       Date:  2022-01-13       Impact factor: 4.379

5.  Vulnerability of Triple-Negative Breast Cancer to Saponin Formosanin C-Induced Ferroptosis.

Authors:  Hsin-Chih Chen; Han-Hsuan Tang; Wei-Hsiang Hsu; Shan-Ying Wu; Wen-Hsing Cheng; Bao-Yuan Wang; Chun-Li Su
Journal:  Antioxidants (Basel)       Date:  2022-01-31

Review 6.  Peripheral Blood Transcriptome in Breast Cancer Patients as a Source of Less Invasive Immune Biomarkers for Personalized Medicine, and Implications for Triple Negative Breast Cancer.

Authors:  Helena Čelešnik; Uroš Potočnik
Journal:  Cancers (Basel)       Date:  2022-01-25       Impact factor: 6.639

7.  Quantitative single-cell analysis of immunofluorescence protein multiplex images illustrates biomarker spatial heterogeneity within breast cancer subtypes.

Authors:  Alison Min-Yan Cheung; Dan Wang; Kela Liu; Tyna Hope; Mayan Murray; Fiona Ginty; Sharon Nofech-Mozes; Anne Louise Martel; Martin Joel Yaffe
Journal:  Breast Cancer Res       Date:  2021-12-18       Impact factor: 6.466

8.  The synergistic effect of CDKN2B-AS1 and SPC25 on triple-negative breast cancer.

Authors:  Na Deng; Keyan Chen; Hua Fan; Feng Jin
Journal:  Ann Transl Med       Date:  2022-07

Review 9.  Advances of Epigenetic Biomarkers and Epigenome Editing for Early Diagnosis in Breast Cancer.

Authors:  Pourya Sarvari; Pouya Sarvari; Ivonne Ramírez-Díaz; Frouzandeh Mahjoubi; Karla Rubio
Journal:  Int J Mol Sci       Date:  2022-08-23       Impact factor: 6.208

10.  A Histone Acetylation Modulator Gene Signature for Classification and Prognosis of Breast Cancer.

Authors:  Mengping Long; Wei Hou; Yiqiang Liu; Taobo Hu
Journal:  Curr Oncol       Date:  2021-02-17       Impact factor: 3.677

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