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Ovarian cancer mutational processes drive site-specific immune evasion.
Vázquez-García, Ignacio; Uhlitz, Florian; Ceglia, Nicholas; Lim, Jamie L P; Wu, Michelle; Mohibullah, Neeman; Niyazov, Juliana; Ruiz, Arvin Eric B; Boehm, Kevin M; Bojilova, Viktoria; Fong, Christopher J; Funnell, Tyler; Grewal, Diljot; Havasov, Eliyahu; Leung, Samantha; Pasha, Arfath; Patel, Druv M; Pourmaleki, Maryam; Rusk, Nicole; Shi, Hongyu; Vanguri, Rami; Williams, Marc J; Zhang, Allen W; Broach, Vance; Chi, Dennis S; Da Cruz Paula, Arnaud; Gardner, Ginger J; Kim, Sarah H; Lennon, Matthew; Long Roche, Kara; Sonoda, Yukio; Zivanovic, Oliver; Kundra, Ritika; Viale, Agnes; Derakhshan, Fatemeh N; Geneslaw, Luke; Issa Bhaloo, Shirin; Maroldi, Ana; Nunez, Rahelly; Pareja, Fresia; Stylianou, Anthe; Vahdatinia, Mahsa; Bykov, Yonina; Grisham, Rachel N; Liu, Ying L; Lakhman, Yulia; Nikolovski, Ines; Kelly, Daniel; Gao, Jianjiong; Schietinger, Andrea.
Afiliação
  • Vázquez-García I; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Uhlitz F; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Ceglia N; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Lim JLP; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Wu M; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Mohibullah N; Integrated Genomics Operation, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Niyazov J; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Ruiz AEB; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Boehm KM; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Bojilova V; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Fong CJ; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Funnell T; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Grewal D; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Havasov E; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Leung S; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Pasha A; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Patel DM; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Pourmaleki M; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Rusk N; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Shi H; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Vanguri R; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Williams MJ; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Zhang AW; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Broach V; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Chi DS; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Da Cruz Paula A; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Gardner GJ; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Kim SH; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Lennon M; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Long Roche K; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Sonoda Y; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Zivanovic O; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Kundra R; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Viale A; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Derakhshan FN; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Geneslaw L; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Issa Bhaloo S; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Maroldi A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Nunez R; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Pareja F; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Stylianou A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Vahdatinia M; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Bykov Y; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Grisham RN; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Liu YL; Weill Cornell Medical Center, New York, NY, USA.
  • Lakhman Y; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Nikolovski I; Weill Cornell Medical Center, New York, NY, USA.
  • Kelly D; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Gao J; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Schietinger A; Department of Information Systems, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nature ; 612(7941): 778-786, 2022 12.
Article em En | MEDLINE | ID: mdl-36517593
ABSTRACT
High-grade serous ovarian cancer (HGSOC) is an archetypal cancer of genomic instability1-4 patterned by distinct mutational processes5,6, tumour heterogeneity7-9 and intraperitoneal spread7,8,10. Immunotherapies have had limited efficacy in HGSOC11-13, highlighting an unmet need to assess how mutational processes and the anatomical sites of tumour foci determine the immunological states of the tumour microenvironment. Here we carried out an integrative analysis of whole-genome sequencing, single-cell RNA sequencing, digital histopathology and multiplexed immunofluorescence of 160 tumour sites from 42 treatment-naive patients with HGSOC. Homologous recombination-deficient HRD-Dup (BRCA1 mutant-like) and HRD-Del (BRCA2 mutant-like) tumours harboured inflammatory signalling and ongoing immunoediting, reflected in loss of HLA diversity and tumour infiltration with highly differentiated dysfunctional CD8+ T cells. By contrast, foldback-inversion-bearing tumours exhibited elevated immunosuppressive TGFß signalling and immune exclusion, with predominantly naive/stem-like and memory T cells. Phenotypic state associations were specific to anatomical sites, highlighting compositional, topological and functional differences between adnexal tumours and distal peritoneal foci. Our findings implicate anatomical sites and mutational processes as determinants of evolutionary phenotypic divergence and immune resistance mechanisms in HGSOC. Our study provides a multi-omic cellular phenotype data substrate from which to develop and interpret future personalized immunotherapeutic approaches and early detection research.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Evasão da Resposta Imune / Mutação Tipo de estudo: Screening_studies Limite: Female / Humans Idioma: En Revista: Nature Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Evasão da Resposta Imune / Mutação Tipo de estudo: Screening_studies Limite: Female / Humans Idioma: En Revista: Nature Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos