Dynamic evaluation of the immune infiltrate and immune function genes as predictive markers for neoadjuvant chemotherapy in hormone receptor positive, HER2 negative breast cancer

Gene expression (GE) signatures and Tumor Infiltrating Lymphocytes (TIL) enumeration are predictive for response to neoadjuvant chemotherapy in HR- and in HER2+ breast cancer, but data are conflicting in HR+/HER2- disease. This study aimed to explore their predictive value in this subset, measured b...

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Main Authors: Alexios Matikas, John Lövrot, Anna Ramberg, Margareta Eriksson, Therese Lindsten, Tobias Lekberg, Ingrid Hedenfalk, Niklas Loman, Jonas Bergh, Thomas Hatschek, Ann Erlandsson, Theodoros Foukakis
Format: Article
Language:English
Published: Taylor & Francis Group 2018-09-01
Series:OncoImmunology
Subjects:
Online Access:http://dx.doi.org/10.1080/2162402X.2018.1466017
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spelling doaj-ae7ace0d4c5c4cc387f40768c42685a62020-11-25T03:28:12ZengTaylor & Francis GroupOncoImmunology2162-402X2018-09-017910.1080/2162402X.2018.14660171466017Dynamic evaluation of the immune infiltrate and immune function genes as predictive markers for neoadjuvant chemotherapy in hormone receptor positive, HER2 negative breast cancerAlexios Matikas0John Lövrot1Anna Ramberg2Margareta Eriksson3Therese Lindsten4Tobias Lekberg5Ingrid Hedenfalk6Niklas Loman7Jonas Bergh8Thomas Hatschek9Ann Erlandsson10Theodoros Foukakis11Karolinska Institutet and University HospitalKarolinska Institutet and University HospitalCentral Hospital KarlstadCentral Hospital KarlstadCentral Hospital KarlstadKarolinska Institutet and University HospitalLund UniversityLund UniversityKarolinska Institutet and University HospitalKarolinska Institutet and University HospitalÖrebro UniversityKarolinska Institutet and University HospitalGene expression (GE) signatures and Tumor Infiltrating Lymphocytes (TIL) enumeration are predictive for response to neoadjuvant chemotherapy in HR- and in HER2+ breast cancer, but data are conflicting in HR+/HER2- disease. This study aimed to explore their predictive value in this subset, measured both at baseline and after short exposure to chemotherapy. Specifically, the PROMIX phase 2 trial enrolled patients with locally advanced HER2- BC to receive six cycles of epirubicin and docetaxel, plus bevacizumab during cycles 3–6. Patients underwent tumor biopsies at baseline and after cycle 2 for GE profiling and enumeration of TIL, FOXP3+ T-cells and CD163+ macrophages. An immune related gene module and the quantification of the immune infiltrate were analyzed for association with pathologic complete response (pCR), decrease in tumor size and disease-free survival (DFS). Of the 150 patients enrolled in PROMIX, 113 were HR+/HER2-. Baseline GE and immune cell enumeration data were available from 71 patients, while data after 2 cycles of chemotherapy were available from 41. At baseline, only GE was statistically significantly associated with higher pCR rates (OR 2.29, 95% CI 1.05 – 5.38, p = 0.037) and decrease in tumor size (r = 0.25, p = 0.047). In contrast, longitudinal data indicate that both GE (r = 0.54, p<0.001) and TIL abundance (p = 0.009) are stronger predictors for the reduction of tumor size, while low FOXP3+ was statistically significantly associated with an improved DFS (p = 0.027). In conclusion, GE analysis, TIL and FOXP3+ enumeration after short-term exposure to chemotherapy carry important predictive information in HR+/HER2- breast cancer at the neoadjuvant setting.http://dx.doi.org/10.1080/2162402X.2018.1466017biomarkerbreast cancergene expressionpredictivetumor infiltrating lymphocytes
collection DOAJ
language English
format Article
sources DOAJ
author Alexios Matikas
John Lövrot
Anna Ramberg
Margareta Eriksson
Therese Lindsten
Tobias Lekberg
Ingrid Hedenfalk
Niklas Loman
Jonas Bergh
Thomas Hatschek
Ann Erlandsson
Theodoros Foukakis
spellingShingle Alexios Matikas
John Lövrot
Anna Ramberg
Margareta Eriksson
Therese Lindsten
Tobias Lekberg
Ingrid Hedenfalk
Niklas Loman
Jonas Bergh
Thomas Hatschek
Ann Erlandsson
Theodoros Foukakis
Dynamic evaluation of the immune infiltrate and immune function genes as predictive markers for neoadjuvant chemotherapy in hormone receptor positive, HER2 negative breast cancer
OncoImmunology
biomarker
breast cancer
gene expression
predictive
tumor infiltrating lymphocytes
author_facet Alexios Matikas
John Lövrot
Anna Ramberg
Margareta Eriksson
Therese Lindsten
Tobias Lekberg
Ingrid Hedenfalk
Niklas Loman
Jonas Bergh
Thomas Hatschek
Ann Erlandsson
Theodoros Foukakis
author_sort Alexios Matikas
title Dynamic evaluation of the immune infiltrate and immune function genes as predictive markers for neoadjuvant chemotherapy in hormone receptor positive, HER2 negative breast cancer
title_short Dynamic evaluation of the immune infiltrate and immune function genes as predictive markers for neoadjuvant chemotherapy in hormone receptor positive, HER2 negative breast cancer
title_full Dynamic evaluation of the immune infiltrate and immune function genes as predictive markers for neoadjuvant chemotherapy in hormone receptor positive, HER2 negative breast cancer
title_fullStr Dynamic evaluation of the immune infiltrate and immune function genes as predictive markers for neoadjuvant chemotherapy in hormone receptor positive, HER2 negative breast cancer
title_full_unstemmed Dynamic evaluation of the immune infiltrate and immune function genes as predictive markers for neoadjuvant chemotherapy in hormone receptor positive, HER2 negative breast cancer
title_sort dynamic evaluation of the immune infiltrate and immune function genes as predictive markers for neoadjuvant chemotherapy in hormone receptor positive, her2 negative breast cancer
publisher Taylor & Francis Group
series OncoImmunology
issn 2162-402X
publishDate 2018-09-01
description Gene expression (GE) signatures and Tumor Infiltrating Lymphocytes (TIL) enumeration are predictive for response to neoadjuvant chemotherapy in HR- and in HER2+ breast cancer, but data are conflicting in HR+/HER2- disease. This study aimed to explore their predictive value in this subset, measured both at baseline and after short exposure to chemotherapy. Specifically, the PROMIX phase 2 trial enrolled patients with locally advanced HER2- BC to receive six cycles of epirubicin and docetaxel, plus bevacizumab during cycles 3–6. Patients underwent tumor biopsies at baseline and after cycle 2 for GE profiling and enumeration of TIL, FOXP3+ T-cells and CD163+ macrophages. An immune related gene module and the quantification of the immune infiltrate were analyzed for association with pathologic complete response (pCR), decrease in tumor size and disease-free survival (DFS). Of the 150 patients enrolled in PROMIX, 113 were HR+/HER2-. Baseline GE and immune cell enumeration data were available from 71 patients, while data after 2 cycles of chemotherapy were available from 41. At baseline, only GE was statistically significantly associated with higher pCR rates (OR 2.29, 95% CI 1.05 – 5.38, p = 0.037) and decrease in tumor size (r = 0.25, p = 0.047). In contrast, longitudinal data indicate that both GE (r = 0.54, p<0.001) and TIL abundance (p = 0.009) are stronger predictors for the reduction of tumor size, while low FOXP3+ was statistically significantly associated with an improved DFS (p = 0.027). In conclusion, GE analysis, TIL and FOXP3+ enumeration after short-term exposure to chemotherapy carry important predictive information in HR+/HER2- breast cancer at the neoadjuvant setting.
topic biomarker
breast cancer
gene expression
predictive
tumor infiltrating lymphocytes
url http://dx.doi.org/10.1080/2162402X.2018.1466017
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