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

被引:65
作者
Szymiczek, Agata [1 ]
Lone, Amna [1 ]
Akbari, Mohammad R. [1 ,2 ,3 ]
机构
[1] Univ Toronto, Womens Coll, Res Inst, Toronto, ON, Canada
[2] Univ Toronto, Inst Med Sci, Fac Med, Toronto, ON, Canada
[3] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
关键词
breast cancer; gene expression profiling; hormone receptor; intrinsic subtyping; prognosis; response to treatment; GROWTH-FACTOR RECEPTOR; PATHOLOGICAL COMPLETE RESPONSE; IN-SITU HYBRIDIZATION; INTERNATIONAL EXPERT CONSENSUS; ESTROGEN-RECEPTOR; GENE-EXPRESSION; AMERICAN SOCIETY; PROGNOSTIC VALUE; NEOADJUVANT CHEMOTHERAPY; PROGESTERONE-RECEPTOR;
D O I
10.1111/cge.13900
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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.
引用
收藏
页码:613 / 637
页数:25
相关论文
共 180 条
[31]   Activating HER2 mutations as emerging targets in multiple solid cancers [J].
Connell, Claire M. ;
Doherty, Gary J. .
ESMO OPEN, 2017, 2 (05)
[32]   Prognostic Value of a Combined Estrogen Receptor, Progesterone Receptor, Ki-67, and Human Epidermal Growth Factor Receptor 2 Immunohistochemical Score and Comparison With the Genomic Health Recurrence Score in Early Breast Cancer [J].
Cuzick, Jack ;
Dowsett, Mitch ;
Pineda, Silvia ;
Wale, Christopher ;
Salter, Janine ;
Quinn, Emma ;
Zabaglo, Lila ;
Mallon, Elizabeth ;
Green, Andrew R. ;
Ellis, Ian O. ;
Howell, Anthony ;
Buzdar, Aman U. ;
Forbes, John F. .
JOURNAL OF CLINICAL ONCOLOGY, 2011, 29 (32) :4273-4278
[33]   High False- Negative Rate of HER2 Quantitative Reverse Transcription Polymerase Chain Reaction of the Oncotype DX Test: An Independent Quality Assurance Study [J].
Dabbs, David J. ;
Klein, Molly E. ;
Mohsin, Syed K. ;
Tubbs, Raymond R. ;
Shuai, Yongli ;
Bhargava, Rohit .
JOURNAL OF CLINICAL ONCOLOGY, 2011, 29 (32) :4279-4285
[34]   HER2 is not a cancer subtype but rather a pan-cancer event and is highly enriched in AR-driven breast tumors [J].
Daemen, Anneleen ;
Manning, Gerard .
BREAST CANCER RESEARCH, 2018, 20
[35]  
Dai XF, 2015, AM J CANCER RES, V5, P2929
[36]   Comparison of PAM50 Risk of Recurrence Score With Oncotype DX and IHC4 for Predicting Risk of Distant Recurrence After Endocrine Therapy [J].
Dowsett, Mitch ;
Sestak, Ivana ;
Lopez-Knowles, Elena ;
Sidhu, Kalvinder ;
Dunbier, Anita K. ;
Cowens, J. Wayne ;
Ferree, Sean ;
Storhoff, James ;
Schaper, Carl ;
Cuzick, Jack .
JOURNAL OF CLINICAL ONCOLOGY, 2013, 31 (22) :2783-+
[37]   Systematic Bias in Genomic Classification Due to Contaminating Non-neoplastic Tissue in Breast Tumor Samples [J].
Elloumi, Fathi ;
Hu, Zhiyuan ;
Li, Yan ;
Parker, Joel S. ;
Gulley, Margaret L. ;
Amos, Keith D. ;
Troester, Melissa A. .
BMC MEDICAL GENOMICS, 2011, 4
[38]   Response to Olaparib in a Patient with Germline BRCA2 Mutation and Breast Cancer Leptomeningeal Carcinomatosis [J].
Exman, Pedro ;
Mallery, Robert M. ;
Lin, Nancy U. ;
Parsons, Heather A. .
NPJ BREAST CANCER, 2019, 5 (1)
[39]   Identification of molecular apocrine breast tumours by microarray analysis [J].
Farmer, P ;
Bonnefoi, H ;
Becette, V ;
Tubiana-Hulin, M ;
Fumoleau, P ;
Larsimont, D ;
MacGrogan, G ;
Bergh, J ;
Cameron, D ;
Goldstein, D ;
Duss, S ;
Nicoulaz, AL ;
Brisken, C ;
Fiche, M ;
Delorenzi, M ;
Iggo, R .
ONCOGENE, 2005, 24 (29) :4660-4671
[40]   Genomic-based predictive biomarkers to antiHER2 therapies: A combined analysis of CALGB 40601 (Alliance) and PAMELA clinical trials. [J].
Fernandez-Martinez, Aranzazu ;
Tanioka, Maki ;
Fan, Cheng ;
Parker, Joel S. ;
Hoadley, Katherine A. ;
Krop, Ian E. ;
Cortes, Javier ;
Llombart Cussac, Antonio ;
Nuciforo, Paolo ;
Galvan, Patricia ;
Pascual, Tomas ;
Partridge, Ann H. ;
Prat, Aleix ;
Carey, Lisa A. ;
Perou, Charles M. .
JOURNAL OF CLINICAL ONCOLOGY, 2019, 37 (15)