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Poster Discussion – Sarcoma

3492 - Immune classification of soft tissue sarcoma predicts clinical outcome


28 Sep 2019


Poster Discussion – Sarcoma


Florent Petitprez


Annals of Oncology (2019) 30 (suppl_5): v683-v709. 10.1093/annonc/mdz283


F. Petitprez1, A. de Reyniès1, E.Z. Keung2, T.W. Chen3, C. Sun4, Y. Jeng3, L. Hsiao3, L. Lacroix4, C. Lucchesi5, M. Toulmonde6, M.A. Burgess7, V. Bolejack8, D. Reinke9, A.J. Lazar10, C.L. Roland2, J. Wargo11, A. Italiano12, C. Sautès-Fridman4, H.A. Tawbi13, W.H. Fridman14

Author affiliations

  • 1 Cit Research Program, Ligue Contre le Cancer, 75013 - Paris/FR
  • 2 Department Of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston/US
  • 3 Department Of Oncology, NTU - National Taiwan University - College of Medicine, 10051 - Taipei City/TW
  • 4 Inserm U1138, Cordeliers Research Center, 75006 - Paris/FR
  • 5 Bioinformatics, Institut Bergonié, 33000 - Bordeaux/FR
  • 6 Medical Oncology, Institute Bergonié, 33076 - Bordeaux/FR
  • 7 Department Of Medicine, University of Pittsburgh, Pittsburgh/US
  • 8 ., Cancer Research and Biostatistics, Seattle/US
  • 9 ., Sarcoma Alliance for Research Through Collaboration, Ann Arbor/US
  • 10 Department Of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston/US
  • 11 Surgical Oncology, The University of Texas MD Anderson Cancer Center, 77030-4095 - Houston/US
  • 12 Early Phase Trials Unit, Institute Bergonié, 33076 - Bordeaux/FR
  • 13 Department Of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, 77035 - Houston/US
  • 14 Team Inflammation, Complement And Cancer, INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Université de Paris, 75006 - Paris/FR


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Abstract 3492


Soft tissue sarcomas (STS) form a group of rare cancers which accounts for around 1% of tumours. Although up to 15% of patients respond in immunotherapy trials, there are no biomarkers predicting response of STS to checkpoint blockade therapies yet.


We analysed transcriptomic data of 4 publicly available cohorts, accounting for more than 600 STS. We used MCP-counter, a deconvolution method to estimate the tumour microenvironment (TME) composition Based on MCP-counter estimates, we established a robust immune classificationof STS tumors into 5 Sarcoma Immune Classes, labelled A, B, C, D and E. These classes exhibited different type and extents of TME. We validated the profiles of these 5 groups on a 72-patients cohort using immunohistochemichal (IHC) stainings for CD3, CD8, CD20 and CD34.


One group (A: 23.3% of tumours) exhibits a very low to low immune infiltrate for all TME cell types. Another class (C: 14.5% of all tumours) displays moderate immune infiltrate and a strong presence of endothelial cells. Finally, another group (E: 15.6%) is highly infiltrated by all immune cell types. The two remaining groups (B: 27.4% and D: 19.4%) are heterogeneous, respectively rather highly and lowly infiltrated. The immune high group E is associated with an overexpression of several immune checkpoint genes: PDCD1 (PD-1), CD274 (PD-L1), PDCD1LG2 (PD-L2), LAG3, HAVCR2 (TIM-3), CTLA4. On 72 patients, we showed that the immune-high group could be identified by the IHC-visible presence of tertiary lymphoid structures (TLS), defined as T cell aggregates juxtaposing B cell aggregates. The immune-high group also exhibited prolonged overall survival as compared with other groups. Using data from a phase II clinical trial with pembrolizumab, we show that responders can be identified as class E tumours, therefore allowing patient selection.


We have defined a novel immune-based classification of STS into 5 classes, among which an immune-high group characterized by a strong infiltration by all immune cell and expression of immune checkpoints, presence of TLS and longer overall survival. This class groups responders to PD-1 blockade in a phase II clinical trial.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study



Institut National de la Santé et de la Recherche Médicale, the University of Paris, Sorbonne University, the Programme Cartes d’Identité des Tumeurs (CIT) from the Ligue Nationale Contre le Cancer, Institut National du Cancer (HTE-INSERM plan cancer, C16082DS), Association pour la Recherche sur le Cancer (ARC), Cancer Research for Personalized Medecine programme, “FONCER contre le cancer” programme, Labex Immuno-Oncology, the National Institute of Health, Moon Shot program at MD Anderson Cancer Center, Ministry of Education and Ministry of Science and Technology of Taiwan, National Taiwan University, Merck, Inc, SARC, Sarcoma Foundation of America, and the QuadW Foundation.


T.W. Chen: Advisory / Consultancy, Research grant / Funding (self): Eisai; Advisory / Consultancy: Lilly. M.A. Burgess: Advisory / Consultancy: EMD Serono; Advisory / Consultancy: Immune Design; Advisory / Consultancy: Eisai. J. Wargo: Advisory / Consultancy: Merck; Advisory / Consultancy: BMS; Advisory / Consultancy: Novartis; Advisory / Consultancy: AstraZeneca; Advisory / Consultancy: Roche; Advisory / Consultancy: Genentech; Advisory / Consultancy: Illumina. H.A. Tawbi: Advisory / Consultancy, Research grant / Funding (self): BMS; Advisory / Consultancy, Research grant / Funding (self): Merck; Advisory / Consultancy, Research grant / Funding (self): Genentech; Research grant / Funding (self): Celgene; Research grant / Funding (self): GSK. W.H. Fridman: Advisory / Consultancy: MedImmune; Advisory / Consultancy: Novartis; Advisory / Consultancy: Servier; Advisory / Consultancy: Pierre Fabre. All other authors have declared no conflicts of interest.

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