Gene expression signatures in early breast cancer: Better together with clinicopathological features. (July 2022)
- Record Type:
- Journal Article
- Title:
- Gene expression signatures in early breast cancer: Better together with clinicopathological features. (July 2022)
- Main Title:
- Gene expression signatures in early breast cancer: Better together with clinicopathological features
- Authors:
- Oliveira, Leandro Jonata Carvalho
Amorim, Larissa Costa
Megid, Thais Baccili Cury
de Resende, Cristiano Augusto Andrade
Mano, Max S. - Abstract:
- Abstract: Breast cancer (BC) is a highly heterogeneous disease, characterized by a variety of subtypes with distinct biological, molecular, and clinical behavior. Standard clinicopathological and tumor biology information (as assessed by gene expression signatures–GES), have provided enhanced prognostic and predictive information in both node-negative(N0) and positive(N +), hormonal receptor positive/human epidermal growth factor 2 negative (HR+/HER2–) early breast cancer (EBC). Herein, we comprehensively review the clinical data of 5 commonly used GES, namely, Oncotype DX(ODX)®; MammaPrint (MP)®; Prosigna®; Breast Cancer Index (BCI)® and Endopredict® – with sections specifically addressing the role of GES in special histologic subtypes, premenopausal women, late recurrence and adjuvant treatment de-escalation. Highlights: Breast cancer (BC) is a heterogeneous disease in terms of molecular alterations, clinical course, response to treatment and prognosis. The integration of clinicopathological features with gene expression signatures optimizes prognostic information in HR+ /HER2- early-stage (BC). Reliable gene expression signatures are currently unavailable for premenopausal, node-positive HR+ /HER2- patients. Histologic subtypes typically associated with an excellent prognosis have a lower than 5% rate of a high Oncotype DX recurrence score. Gene expression signatures such as Prosigna®, Breast Cancer Index® and Endopredict® provide prognostic information for lateAbstract: Breast cancer (BC) is a highly heterogeneous disease, characterized by a variety of subtypes with distinct biological, molecular, and clinical behavior. Standard clinicopathological and tumor biology information (as assessed by gene expression signatures–GES), have provided enhanced prognostic and predictive information in both node-negative(N0) and positive(N +), hormonal receptor positive/human epidermal growth factor 2 negative (HR+/HER2–) early breast cancer (EBC). Herein, we comprehensively review the clinical data of 5 commonly used GES, namely, Oncotype DX(ODX)®; MammaPrint (MP)®; Prosigna®; Breast Cancer Index (BCI)® and Endopredict® – with sections specifically addressing the role of GES in special histologic subtypes, premenopausal women, late recurrence and adjuvant treatment de-escalation. Highlights: Breast cancer (BC) is a heterogeneous disease in terms of molecular alterations, clinical course, response to treatment and prognosis. The integration of clinicopathological features with gene expression signatures optimizes prognostic information in HR+ /HER2- early-stage (BC). Reliable gene expression signatures are currently unavailable for premenopausal, node-positive HR+ /HER2- patients. Histologic subtypes typically associated with an excellent prognosis have a lower than 5% rate of a high Oncotype DX recurrence score. Gene expression signatures such as Prosigna®, Breast Cancer Index® and Endopredict® provide prognostic information for late recurrence. … (more)
- Is Part Of:
- Critical reviews in oncology/hematology. Volume 175(2022)
- Journal:
- Critical reviews in oncology/hematology
- Issue:
- Volume 175(2022)
- Issue Display:
- Volume 175, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 175
- Issue:
- 2022
- Issue Sort Value:
- 2022-0175-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-07
- Subjects:
- Hormone receptor positive Early Breast Cancer -- Gene expression signatures
Oncology -- Periodicals
Hematology -- Periodicals
616.994 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10408428 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.critrevonc.2022.103708 ↗
- Languages:
- English
- ISSNs:
- 1040-8428
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3487.479000
British Library DSC - BLDSS-3PM
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- 21800.xml