Spatial distribution of tumour immune infiltrate predicts outcomes of patients with high-risk soft tissue sarcomas after neoadjuvant chemotherapy.
Anthracycline
Neoadjuvant chemotherapy
Soft tissue sarcomas
Tumour immune microenvironment
Journal
EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039
Informations de publication
Date de publication:
16 Jul 2024
16 Jul 2024
Historique:
received:
18
10
2023
revised:
22
05
2024
accepted:
11
06
2024
medline:
18
7
2024
pubmed:
18
7
2024
entrez:
17
7
2024
Statut:
aheadofprint
Résumé
Anthracycline-based neoadjuvant chemotherapy (NAC) may modify tumour immune infiltrate. This study characterized immune infiltrate spatial distribution after NAC in primary high-risk soft tissue sarcomas (STS) and investigate association with prognosis. The ISG-STS 1001 trial randomized STS patients to anthracycline plus ifosfamide (AI) or a histology-tailored (HT) NAC. Four areas of tumour specimens were sampled: the area showing the highest lymphocyte infiltrate (HI) at H&E; the area with lack of post-treatment changes (highest grade, HG); the area with post-treatment changes (lowest grade, LG); and the tumour edge (TE). CD3, CD8, PD-1, CD20, FOXP3, and CD163 were analyzed at immunohistochemistry and digital pathology. A machine learning method was used to generate sarcoma immune index scores (SIS) that predict patient disease-free and overall survival (DFS and OS). Tumour infiltrating lymphocytes and PD-1+ cells together with CD163+ cells were more represented in STS histologies with complex compared to simple karyotype, while CD20+ B-cells were detected in both these histology groups. PD-1+ cells exerted a negative prognostic value irrespectively of their spatial distribution. Enrichment in CD20+ B-cells at HI and TE areas was associated with better patient outcomes. We generated a prognostic SIS for each tumour area, having the HI-SIS the best performance. Such prognostic value was driven by treatment with AI. The different spatial distribution of immune populations and their different association with prognosis support NAC as a modifier of tumour immune infiltrate in STS. Pharmamar; Italian Ministry of Health [RF-2019-12370923; GR-2016-02362609]; 5 × 1000 Funds-2016, Italian Ministry of Health; AIRC Grant [ID#28546].
Sections du résumé
BACKGROUND
BACKGROUND
Anthracycline-based neoadjuvant chemotherapy (NAC) may modify tumour immune infiltrate. This study characterized immune infiltrate spatial distribution after NAC in primary high-risk soft tissue sarcomas (STS) and investigate association with prognosis.
METHODS
METHODS
The ISG-STS 1001 trial randomized STS patients to anthracycline plus ifosfamide (AI) or a histology-tailored (HT) NAC. Four areas of tumour specimens were sampled: the area showing the highest lymphocyte infiltrate (HI) at H&E; the area with lack of post-treatment changes (highest grade, HG); the area with post-treatment changes (lowest grade, LG); and the tumour edge (TE). CD3, CD8, PD-1, CD20, FOXP3, and CD163 were analyzed at immunohistochemistry and digital pathology. A machine learning method was used to generate sarcoma immune index scores (SIS) that predict patient disease-free and overall survival (DFS and OS).
FINDINGS
RESULTS
Tumour infiltrating lymphocytes and PD-1+ cells together with CD163+ cells were more represented in STS histologies with complex compared to simple karyotype, while CD20+ B-cells were detected in both these histology groups. PD-1+ cells exerted a negative prognostic value irrespectively of their spatial distribution. Enrichment in CD20+ B-cells at HI and TE areas was associated with better patient outcomes. We generated a prognostic SIS for each tumour area, having the HI-SIS the best performance. Such prognostic value was driven by treatment with AI.
INTERPRETATION
CONCLUSIONS
The different spatial distribution of immune populations and their different association with prognosis support NAC as a modifier of tumour immune infiltrate in STS.
FUNDING
BACKGROUND
Pharmamar; Italian Ministry of Health [RF-2019-12370923; GR-2016-02362609]; 5 × 1000 Funds-2016, Italian Ministry of Health; AIRC Grant [ID#28546].
Identifiants
pubmed: 39018755
pii: S2352-3964(24)00255-X
doi: 10.1016/j.ebiom.2024.105220
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
105220Informations de copyright
Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests Sandro Pasquali reports institutional research funds from Pharmamar, Ikena Oncology, and ASTX Pharmaceutical. Cleofe Romagosa reports institutional research funds from Pharmamar. Angelo Paolo Dei Tos reports institutional research funds from Pharmamar. Javier Martin-Broto reports institutional research funds from Pharmamar, Adaptimmune, Amgen, AROG, Bayer, Blueprint, BMS, Celgene, Daiichi Sankyo, Deciphera, Eisai, Forma, GSK, IMMIX Biopharma, Karyopharm, Lilly, LIXTE, Nektar, Novartis, Pfizer, Roche, and PharmaMar and compensations for advisory board or consulting relationship from Tecnofarma. Jean-Yves Blay reports compensations for advisory board or consulting relationship with Merck Sharp & Dohme, Merck Serono, Daiichi-Sankyo, Astellas, Alexo Oncology, Samyang Biopharm, Hanmi, Daewoong and Amgen and has received institutional research funds from Genentech/Roche, Merck Sharp & Dohme, Merck Serono, Daiichi-Sankyo, Astellas and Amgen. Giovanni Grignani reports institutional research funds from Eli Lilly and Company, GlaxoSmithKline, Merk, Novartis, and Pharmamar. Emanuela Palmerini reports compensations for advisory boards from Daiichi Sankyo Company, Daiichi Sankyo Europe GmbH, Deciphera Pharmaceuticals Inc., EUSA Pharma (US) LLC, and SynOx Therapeutics. Paolo Casali received honoraria for speaker, consultancy, or advisory roles from: Bayer, Deciphera, Eisai, Eli Lilly, and Pfizer; his unit received funds from: Advenchen Laboratories, Amgen Dompé, AROG Pharmaceuticals, Bayer, Blueprint Medicines, Daiichi Sankyo, Deciphera, Eisai, Eli Lilly, Epizyme Inc, Glaxo, Karyopharm Pharmaceuticals, Novartis, Pfizer, and PharmaMar. Silvia Stacchiotti reports institutional research funds from: Advenchen Laboratories, Amgen Dompé, AROG Pharmaceuticals, Bayer, Blueprint Medicines, Daiichi Sankyo, Deciphera, Eisai, Eli Lilly, Epizyme Inc, Glaxo Smith Kline, Karyopharm Pharmaceuticals, Novartis, Pfizer, PharmaMar, and SpringWorks; honoraria, consultancy, or advisory role from: Bayer, Bavarian Nordic, Boehringer, Deciphera, Daiichi Sankyo Pharma, Gentili, Glaxo Smith Kline, Inhibrix, Maxivax, PharmaMar, and Servier; travel, accommodations, expenses from: PharmaMar. Alessandro Gronchi reports compensations for advisory boards from Novartis, Pfizer, Bayer, Lilly, PharmaMar, SpringWorks, and Deciphera and institutional research grants from PharmaMar and Nanobiotix. The other authors declare no conflicts of interest.