Immune Effective Score as a Predictor of Response to Neoadjuvant Trastuzumab Therapy and a Prognostic Indicator for HER2-Positive Breast Cancer

Background: HER2-positive breast cancer (BC) is a highly aggressive phenotype. The role of the host immune features in predictive response to anti-HER2 therapies and prognosis in BC has already been suggested. We aimed to develop a predictive and prognostic model and examine its relevance to the cli...

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Main Authors: Xueying Wu, Chenyang Zhang, Henghui Zhang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Current Oncology
Subjects:
Online Access:https://www.mdpi.com/1718-7729/29/1/26
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author Xueying Wu
Chenyang Zhang
Henghui Zhang
author_facet Xueying Wu
Chenyang Zhang
Henghui Zhang
author_sort Xueying Wu
collection DOAJ
description Background: HER2-positive breast cancer (BC) is a highly aggressive phenotype. The role of the host immune features in predictive response to anti-HER2 therapies and prognosis in BC has already been suggested. We aimed to develop a predictive and prognostic model and examine its relevance to the clinical outcomes of patients with HER2-positive BC. Methods: Immune effective score (IES) was constructed using principal component analysis algorithms. A bioinformatic analysis using four independent cohorts (GSE66305, <i>n</i> = 88; GSE130786, <i>n</i> = 110; TCGA, <i>n</i> = 123; METABRIC, <i>n</i> = 236) established associations between IES and clinical outcomes. Results: Genes associated with neoadjuvant trastuzumab therapy response were enriched in pathways related to antitumor immune activities. IES was demonstrated to be a predictive biomarker to neoadjuvant trastuzumab therapy benefits (GSE66305: area under the curve (AUC) = 0.804; GSE130786: AUC = 0.704). In addition, IES was identified as an independent prognostic factor for overall survival (OS) in the TCGA cohort (<i>p</i> = 0.036, hazard ratio (HR): 0.66, 95% confidence interval (CI): 0.449–0.97) and METABRIC cohort (<i>p</i> = 0.037, HR: 0.9, 95% CI: 0.81–0.99). Conclusion: IES has a predictive value for response to neoadjuvant trastuzumab therapy and independent prognostic value for HER2-positive breast cancer.
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spelling doaj.art-d8f6de30bfb142139db5c1619832602b2023-11-23T13:26:02ZengMDPI AGCurrent Oncology1198-00521718-77292022-01-0129128329310.3390/curroncol29010026Immune Effective Score as a Predictor of Response to Neoadjuvant Trastuzumab Therapy and a Prognostic Indicator for HER2-Positive Breast CancerXueying Wu0Chenyang Zhang1Henghui Zhang2Institute of Molecular Medicine, Peking University, Beijing 100871, ChinaInstitute of Molecular Medicine, Peking University, Beijing 100871, ChinaBiomedical Innovation Center, Beijing Shijitan Hospital, School of Oncology, Capital Medical University, Beijing 100038, ChinaBackground: HER2-positive breast cancer (BC) is a highly aggressive phenotype. The role of the host immune features in predictive response to anti-HER2 therapies and prognosis in BC has already been suggested. We aimed to develop a predictive and prognostic model and examine its relevance to the clinical outcomes of patients with HER2-positive BC. Methods: Immune effective score (IES) was constructed using principal component analysis algorithms. A bioinformatic analysis using four independent cohorts (GSE66305, <i>n</i> = 88; GSE130786, <i>n</i> = 110; TCGA, <i>n</i> = 123; METABRIC, <i>n</i> = 236) established associations between IES and clinical outcomes. Results: Genes associated with neoadjuvant trastuzumab therapy response were enriched in pathways related to antitumor immune activities. IES was demonstrated to be a predictive biomarker to neoadjuvant trastuzumab therapy benefits (GSE66305: area under the curve (AUC) = 0.804; GSE130786: AUC = 0.704). In addition, IES was identified as an independent prognostic factor for overall survival (OS) in the TCGA cohort (<i>p</i> = 0.036, hazard ratio (HR): 0.66, 95% confidence interval (CI): 0.449–0.97) and METABRIC cohort (<i>p</i> = 0.037, HR: 0.9, 95% CI: 0.81–0.99). Conclusion: IES has a predictive value for response to neoadjuvant trastuzumab therapy and independent prognostic value for HER2-positive breast cancer.https://www.mdpi.com/1718-7729/29/1/26HER2-positive breast cancerneoadjuvanttrastuzumabpathological complete responseprognosis
spellingShingle Xueying Wu
Chenyang Zhang
Henghui Zhang
Immune Effective Score as a Predictor of Response to Neoadjuvant Trastuzumab Therapy and a Prognostic Indicator for HER2-Positive Breast Cancer
Current Oncology
HER2-positive breast cancer
neoadjuvant
trastuzumab
pathological complete response
prognosis
title Immune Effective Score as a Predictor of Response to Neoadjuvant Trastuzumab Therapy and a Prognostic Indicator for HER2-Positive Breast Cancer
title_full Immune Effective Score as a Predictor of Response to Neoadjuvant Trastuzumab Therapy and a Prognostic Indicator for HER2-Positive Breast Cancer
title_fullStr Immune Effective Score as a Predictor of Response to Neoadjuvant Trastuzumab Therapy and a Prognostic Indicator for HER2-Positive Breast Cancer
title_full_unstemmed Immune Effective Score as a Predictor of Response to Neoadjuvant Trastuzumab Therapy and a Prognostic Indicator for HER2-Positive Breast Cancer
title_short Immune Effective Score as a Predictor of Response to Neoadjuvant Trastuzumab Therapy and a Prognostic Indicator for HER2-Positive Breast Cancer
title_sort immune effective score as a predictor of response to neoadjuvant trastuzumab therapy and a prognostic indicator for her2 positive breast cancer
topic HER2-positive breast cancer
neoadjuvant
trastuzumab
pathological complete response
prognosis
url https://www.mdpi.com/1718-7729/29/1/26
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