Literature DB >> 30228933

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

Alexios Matikas1, John Lövrot1, Anna Ramberg2, Margareta Eriksson2, Therese Lindsten2, Tobias Lekberg1, Ingrid Hedenfalk3, Niklas Loman3, Jonas Bergh1, Thomas Hatschek1, Ann Erlandsson4,5, Theodoros Foukakis1.   

Abstract

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.

Entities:  

Keywords:  biomarker; breast cancer; gene expression; predictive; tumor infiltrating lymphocytes

Year:  2018        PMID: 30228933      PMCID: PMC6140817          DOI: 10.1080/2162402X.2018.1466017

Source DB:  PubMed          Journal:  Oncoimmunology        ISSN: 2162-4011            Impact factor:   8.110


  29 in total

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Journal:  Ann Oncol       Date:  2014-09-11       Impact factor: 32.976

3.  Tumour-infiltrating lymphocytes and prognosis in different subtypes of breast cancer: a pooled analysis of 3771 patients treated with neoadjuvant therapy.

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Review 4.  Gene expression profiling in breast cancer: classification, prognostication, and prediction.

Authors:  Jorge S Reis-Filho; Lajos Pusztai
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Review 5.  Variation in the Incidence and Magnitude of Tumor-Infiltrating Lymphocytes in Breast Cancer Subtypes: A Systematic Review.

Authors:  Sasha E Stanton; Sylvia Adams; Mary L Disis
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Review 6.  The value of tumor infiltrating lymphocytes (TILs) for predicting response to neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.

Authors:  Yan Mao; Qing Qu; Yuzi Zhang; Junjun Liu; Xiaosong Chen; Kunwei Shen
Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

7.  Assessment of early response biomarkers in relation to long-term survival in patients with HER2-negative breast cancer receiving neoadjuvant chemotherapy plus bevacizumab: Results from the Phase II PROMIX trial.

Authors:  Siker Kimbung; Ida Markholm; Judith Bjöhle; Tobias Lekberg; Anna von Wachenfeldt; Edward Azavedo; Ariel Saracco; Mats Hellström; Srinivas Veerla; Eric Paquet; Pär-Ola Bendahl; Mårten Fernö; Jonas Bergh; Niklas Loman; Thomas Hatschek; Ingrid Hedenfalk
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8.  Effect of macrophages on breast cancer cell proliferation, and on expression of hormone receptors, uPAR and HER-2.

Authors:  Therése Lindsten; Alexander Hedbrant; Anna Ramberg; Jonny Wijkander; Anja Solterbeck; Margareta Eriksson; Dick Delbro; Ann Erlandsson
Journal:  Int J Oncol       Date:  2017-05-11       Impact factor: 5.650

9.  Immune gene expression and response to chemotherapy in advanced breast cancer.

Authors:  Theodoros Foukakis; John Lövrot; Alexios Matikas; Ioannis Zerdes; Julie Lorent; Nick Tobin; Chikako Suzuki; Suzanne Egyházi Brage; Lena Carlsson; Zakaria Einbeigi; Barbro Linderholm; Niklas Loman; Martin Malmberg; Mårten Fernö; Lambert Skoog; Jonas Bergh; Thomas Hatschek
Journal:  Br J Cancer       Date:  2018-01-25       Impact factor: 7.640

Review 10.  Long-term outcomes for neoadjuvant versus adjuvant chemotherapy in early breast cancer: meta-analysis of individual patient data from ten randomised trials.

Authors: 
Journal:  Lancet Oncol       Date:  2017-12-11       Impact factor: 41.316

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4.  PD-1 protein and gene expression as prognostic factors in early breast cancer.

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6.  Interplay between copy number alterations and immune profiles in the early breast cancer Scandinavian Breast Group 2004-1 randomized phase II trial: results from a feasibility study.

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Review 7.  Dissecting Tumor-Immune Microenvironment in Breast Cancer at a Spatial and Multiplex Resolution.

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Journal:  Cancers (Basel)       Date:  2022-06-15       Impact factor: 6.575

9.  Programmed death-ligand 1 gene expression is a prognostic marker in early breast cancer and provides additional prognostic value to 21-gene and 70-gene signatures in estrogen receptor-positive disease.

Authors:  Ioannis Zerdes; Emmanouil G Sifakis; Alexios Matikas; Sebastian Chrétien; Nicholas P Tobin; Johan Hartman; George Z Rassidakis; Jonas Bergh; Theodoros Foukakis
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