Abstract 4301
Background
In HR+/HER2- early BC, high tumour infiltrating lymphocytes (TIL) levels predict higher pathological complete response to neoadjuvant chemotherapy, but are associated with shorter overall survival (Denkert, Lancet Oncol 2018). HR+/HER2- BC is a biologically heterogeneous disease, encompassing all BC molecular intrinsic subtypes, with different clinical behaviour (Cejalvo, CTR 2018). Little is known concerning the distribution of TIL levels and immune infiltrate composition across intrinsic subtypes in HR+/HER2- BC.
Methods
Gene-expression data (Affymetrix platform) from pre-treatment frozen core-biopsies was available from 66 postmenopausal patients with HR+/HER2- early BC from the LETLOB trial (neoadjuvant letrozole+/-lapatinib) (Guarneri, JCO 2014). Intrinsic subtype was assigned using a research-based PAM50 subtype predictor. Relative leukocyte fractions were calculated using CIBERSORT (Newman, Nature Methods 2015), a deconvolution method based on RNA gene-expression signatures. Pre-treatment stromal TILs were assessed on centralized HES slides according to recommendations (Salgado, Ann Oncol 2015).
Results
Intrinsic subtype distribution was as follows: basal 18% (N = 12), HER2-enriched 8% (N = 5), Luminal A 39% (N = 25), Luminal B 36% (N = 24). Non-luminal subtypes (HER2-enriched and Basal) had significantly higher baseline TIL levels than luminal subtypes (median (range): 7 (0-100) and 2 (0-35), respectively; p = 0.038). Non-luminal subtypes also presented higher fractions of CD4 memory activated T-cells (p = 0.018), γδ T-cells (p = 0.010) and M1 macrophages (p = 0.001) and lower fractions of T-regulatory cells (p = 0.002) than luminal subtypes.
Conclusions
In HR+/HER2- early BC, non-luminal subtypes show higher TIL levels and a more pro-inflammatory anti-tumour immune infiltrate composition. This immune heterogeneity across intrinsic subtypes should be considered when analysing the complex prognostic role of TILs in HR+/HER2- early BC.
Clinical trial identification
NCT00422903.
Editorial acknowledgement
Legal entity responsible for the study
University of Padua.
Funding
GlaxoSmithKline funded the clinical trial (LETLOB) including gene-expression analysis; DOR grants 1721185/17 and 1830512/18 from the University of Padua.
Disclosure
M.V. Dieci: Advisory / Consultancy: EliLilly; Advisory / Consultancy: Genomic Health; Advisory / Consultancy: Celgene. A. Frassoldati: Advisory / Consultancy: Roche; Advisory / Consultancy: Novartis; Honoraria (self): Pfizer; Honoraria (self): Novartis; Honoraria (self): AstraZeneca; Honoraria (self): Roche; Honoraria (self): Eisai. A. Prat: Honoraria (self), Advisory / Consultancy, Research grant / Funding (institution): Roche; Honoraria (self), Advisory / Consultancy, Research grant / Funding (institution): Pfizer; Honoraria (self), Advisory / Consultancy, Research grant / Funding (institution): Novartis; Honoraria (self), Advisory / Consultancy, Research grant / Funding (institution): Amgen; Honoraria (self), Advisory / Consultancy: BMS; Honoraria (self), Research grant / Funding (institution): Daiichi Sankyo; Advisory / Consultancy: Puma; Advisory / Consultancy: Oncolytics Biotech; Honoraria (institution), Research grant / Funding (institution): Nanostring; Research grant / Funding (institution): Boehringer; Research grant / Funding (institution): Lilly. P.F. Conte: Honoraria (self), Advisory / Consultancy, Research grant / Funding (institution): Novartis; Honoraria (self), Advisory / Consultancy: EliLilly; Honoraria (self), Advisory / Consultancy: AstraZeneca; Advisory / Consultancy: Tesaro; Honoraria (self), Research grant / Funding (institution): Roche; Honoraria (self), Research grant / Funding (institution): BMS; Research grant / Funding (institution): Merck-KGa. V. Guarneri: Advisory / Consultancy, Speaker Bureau / Expert testimony: EliLilly; Advisory / Consultancy, Speaker Bureau / Expert testimony: Novartis; Advisory / Consultancy, Research grant / Funding (institution): Roche. All other authors have declared no conflicts of interest.
Resources from the same session
4906 - Tumor-infiltrating lymphocytes (TILs) in patients with epithelial ovarian cancer undergoing neoadjuvant chemotherapy: A restrospective study
Presenter: Sara Giovannoni
Session: Poster Display session 2
Resources:
Abstract
3919 - Prognostic significance of elements of the adaptive immunity in the microenvironment of epithelial ovarian cancer.
Presenter: Periklis Foukas
Session: Poster Display session 2
Resources:
Abstract
5139 - Neutrophil-to-lymphocyte ratio predicts platinum sensitivity in epithelial ovarian cancer patients: a MITO24 retrospective study
Presenter: Alberto Farolfi
Session: Poster Display session 2
Resources:
Abstract
4212 - The prognostic impact of monocyte to lymphocyte ratio (MLR) in advanced epithelial ovarian cancer (EOC)
Presenter: Marc Cucurull Salamero
Session: Poster Display session 2
Resources:
Abstract
5123 - TP53 Hotspot mutations as immunoreactive neoantigens define a signature with differential survival outcomes in advanced ovarian cancer
Presenter: Marica Garziera
Session: Poster Display session 2
Resources:
Abstract
3795 - Use of bevacizumab (Bev) in real life for first-line (fl) treatment of ovarian cancer (OC)/ The GINECO ENCOURAGE cohort of 500 French patients
Presenter: Dominique Berton-Rigaud
Session: Poster Display session 2
Resources:
Abstract
2359 - Phase II study: Letrozole maintenance therapy after first line chemotherapy in patients with advanced serous and endometrioid ovarian cancer
Presenter: Alexandra Tyulyandina
Session: Poster Display session 2
Resources:
Abstract
3619 - Baseline IPI (Immune Prognostic Index) predicts survival in patients with advanced cervical cancer treated with immune checkpoint inhibitors (ICI).
Presenter: Felix Blanc-Durand
Session: Poster Display session 2
Resources:
Abstract
3474 - Preselecting tumor-infiltrating lymphocyte subsets to implement adoptive inmmunotherapy in ovarian cancer
Presenter: Diego Salas-Benito
Session: Poster Display session 2
Resources:
Abstract
5134 - Early prediction of the platinum-resistant relapse risk using the CA125 modeled kinetic parameter KELIM: a pooled analysis of AGO-OVAR 7 & 9; ICON 7 (AGO/GINECO/ MRC CTU/GCIG trials).
Presenter: OLIVIER COLOMBAN
Session: Poster Display session 2
Resources:
Abstract