Spatial distribution of tumour immune in fi ltrate predicts outcomes of patients with high-risk soft tissue sarcomas after neoadjuvant chemotherapy

被引:2
作者
Pasquali, Sandro [1 ]
Vallacchi, Viviana [2 ]
Lalli, Luca [2 ]
Collini, Paola [3 ]
Barisella, Marta [4 ]
Romagosa, Cleofe [5 ]
Bague, Silvia [6 ]
Coindre, Jean Michel [7 ,8 ]
Dei Tos, Angelo Paolo [9 ]
Palmerini, Emanuela [10 ]
Quagliuolo, Vittorio [11 ]
Martin-Broto, Javier [12 ]
Lopez-Pousa, Antonio [13 ]
Grignani, Giovanni [14 ]
Blay, Jean-Yves [15 ,16 ]
Beveridge, Robert Diaz [17 ]
Casiraghi, Elena [18 ]
Brich, Silvia [3 ]
Renne, Salvatore Lorenzo [19 ,20 ]
Bergamaschi, Laura [2 ]
Vergani, Barbara [21 ]
Sbaraglia, Marta [9 ]
Casali, Paolo Giovanni [22 ]
Rivoltini, Licia [2 ]
Stacchiotti, Silvia [22 ]
Gronchi, Alessandro [23 ]
机构
[1] Fdn IRCCS Ist Nazl Tumori, Dept Expt Oncol, Mol Pharmacol, Via GAmadeo 42, I-20133 Milan, Italy
[2] Fdn IRCCS Ist Nazl Tumori, Dept Expt Oncol, Translat Immunol Unit, Via G Venezian 1, I-20133 Milan, Italy
[3] Fdn IRCCS Ist Nazl Tumori Milano, Dept Adv Diagnost, Soft Tissue Tumor Pathol Unit, Milan, Italy
[4] ASST Fatebenefratelli Sacco, Pathol Unit, Milan, Italy
[5] Vall dHebron Univ Hosp, Pathol Dept, Barcelona, Spain
[6] Univ Autonoma Barcelona, Hosp Santa Creu & St Pau, Pathol Dept, Barcelona, Spain
[7] Inst Bergonie, Dept Pathol, F-33000 Bordeaux, France
[8] Inst Bergonie, INSERM U1218 ACTION, F-33000 Bordeaux, France
[9] Univ Padua, Dept Med DIMED, Surg Pathol & Cytopathol Unit, Padua, Italy
[10] IRCCS Ist Ortoped Rizzoli, Osteoncol Bone & Soft Tissue Sarcomas & Innovat Th, Bologna, Italy
[11] IRCCS Humanitas Res Hosp, Surg Dept, Rozzano, Italy
[12] Fdn Jimenez Diaz Univ Hosp, Oncol Dept, Madrid, Spain
[13] Hosp Santa Creu & Sant Pau, Med Oncol Dept, Carrer St Quinti 89, Barcelona 08041, Spain
[14] Citta Salute & Sci Hosp, Med Oncol Unit, Turin, Italy
[15] Ctr Leon Berard, Lyon, France
[16] Univ Claude Bernard Lyon 1, Lyon, France
[17] Hosp Univ & Politecn La Fe, Dept Canc Med, Valencia, Spain
[18] Univ Milan, Dept Comp Sci Giovanni Degli Antoni, AnacletoLab, Milan, Italy
[19] IRCCS Humanitas Res Hosp, Pathol Dept, Rozzano, Italy
[20] Humanitas Univ, Dept Biomed Sci, Pieve Emanuele, Milan, Italy
[21] Univ Milano Bicocca, Sch Med & Surg, Monza, Italy
[22] Fdn IRCCS Ist Nazl Tumori Milano, Dept Canc Med, Milan, Italy
[23] Fdn IRCCS Ist Nazl Tumori, Dept Surg, Sarcoma Serv, Via G Venezian 1, I-20133 Milan, Italy
关键词
Soft tissue sarcomas; Tumour immune microenvironment; Neoadjuvant chemotherapy; Anthracycline; B-CELLS; OPEN-LABEL; PEMBROLIZUMAB; DOXORUBICIN; SURVIVAL; MULTICENTER; NIVOLUMAB; EFFICACY;
D O I
10.1016/j.ebiom.2024.105220
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Anthracycline-based neoadjuvant chemotherapy (NAC) may modify tumour immune in fi ltrate. This study characterized immune in fi ltrate spatial distribution after NAC in primary high-risk soft tissue sarcomas (STS) and investigate association with prognosis. 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 in fi ltrate (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 Tumour in fi ltrating 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 The different spatial distribution of immune populations and their different association with prognosis support NAC as a modi fi er of tumour immune in fi ltrate in STS.
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