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Moore J, Gkantalis J, Guix I, Chou W, Yuen K, Lazar AA, Spitzer M, Combes AJ, Barcellos-Hoff MH. Lack of TGFβ signaling competency predicts immune poor cancer conversion to immune rich and response to checkpoint blockade. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.06.583752. [PMID: 38496519 PMCID: PMC10942434 DOI: 10.1101/2024.03.06.583752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Background Transforming growth factor beta (TGFβ) is well-recognized as an immunosuppressive player in the tumor microenvironment but also has a significant impact on cancer cell phenotypes. Loss of TGFβ signaling impairs DNA repair competency, which is described by a transcriptomic score, βAlt. Cancers with high βAlt have more genomic damage and are more responsive to genotoxic therapy. The growing appreciation that cancer DNA repair deficits are important determinants of immune response prompted us to investigate the association of βAlt with response to immune checkpoint blockade (ICB). We predicted that high βAlt tumors would be infiltrated with lymphocytes because of DNA damage burden and hence responsive to ICB. Methods We analyzed public transcriptomic data from clinical trials and preclinical models using transcriptomic signatures of TGFβ targets, DNA repair genes, tumor educated immune cells and interferon. A high βAlt, immune poor mammary tumor derived transplant model resistant to programmed death ligand 1 (PD-L1) antibodies was studied using multispectral flow cytometry to interrogate the immune system. Results Metastatic bladder patients in IMvigor 210 who responded to ICB had significantly increased βAlt scores and experienced significantly longer overall survival compared to those with low βAlt scores (hazard ratio 0.62, P=0.011) . Unexpectedly, 75% of high βAlt cancers were immune poor as defined by low expression of tumor educated immune cell and interferon signatures. The association of high βAlt with immune poor cancer was also evident in TCGA and preclinical cancer models. We used a high βAlt, immune poor cancer to test therapeutic strategies to overcome its inherent anti-PD-L1 resistance. Combination treatment with radiation and TGFβ inhibition were necessary for lymphocytic infiltration and activated NK cells were required for ICB response. Bioinformatic analysis identified high βAlt, immune poor B16 and CT26 preclinical models and paired biopsies of cancer patients that also demonstrated NK cell activation upon response to ICB. Conclusions Our studies support βAlt as a biomarker that predicts response to ICB albeit in immune poor cancers, which has implications for the development of therapeutic strategies to increase the number of cancer patients who will benefit from immunotherapy.
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Affiliation(s)
- Jade Moore
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA
| | - Jim Gkantalis
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA
| | - Ines Guix
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA
| | - William Chou
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA
| | - Kobe Yuen
- Oncology Biomarker Development, Genentech Inc., South San Francisco, CA, USA
| | - Ann A Lazar
- Division of Oral Epidemiology and Division of Biostatistics, University of California, San Francisco, CA, USA
| | - Mathew Spitzer
- Parker Institute for Cancer Immunotherapy, Department of Otolaryngology- Head and Neck Surgery, Department of Microbiology and Immunology, University of California, San Francisco, CA USA
- A member of the imCORE Network
| | - Alexis J Combes
- Department of Pathology, CoLabs, University of California, San Francisco, San Francisco, CA, USA
| | - Mary Helen Barcellos-Hoff
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- A member of the imCORE Network
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2
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Chowdhury S, Kennedy JJ, Ivey RG, Murillo OD, Hosseini N, Song X, Petralia F, Calinawan A, Savage SR, Berry AB, Reva B, Ozbek U, Krek A, Ma W, da Veiga Leprevost F, Ji J, Yoo S, Lin C, Voytovich UJ, Huang Y, Lee SH, Bergan L, Lorentzen TD, Mesri M, Rodriguez H, Hoofnagle AN, Herbert ZT, Nesvizhskii AI, Zhang B, Whiteaker JR, Fenyo D, McKerrow W, Wang J, Schürer SC, Stathias V, Chen XS, Barcellos-Hoff MH, Starr TK, Winterhoff BJ, Nelson AC, Mok SC, Kaufmann SH, Drescher C, Cieslik M, Wang P, Birrer MJ, Paulovich AG. Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer. Cell 2023; 186:3476-3498.e35. [PMID: 37541199 PMCID: PMC10414761 DOI: 10.1016/j.cell.2023.07.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 03/23/2023] [Accepted: 07/05/2023] [Indexed: 08/06/2023]
Abstract
To improve the understanding of chemo-refractory high-grade serous ovarian cancers (HGSOCs), we characterized the proteogenomic landscape of 242 (refractory and sensitive) HGSOCs, representing one discovery and two validation cohorts across two biospecimen types (formalin-fixed paraffin-embedded and frozen). We identified a 64-protein signature that predicts with high specificity a subset of HGSOCs refractory to initial platinum-based therapy and is validated in two independent patient cohorts. We detected significant association between lack of Ch17 loss of heterozygosity (LOH) and chemo-refractoriness. Based on pathway protein expression, we identified 5 clusters of HGSOC, which validated across two independent patient cohorts and patient-derived xenograft (PDX) models. These clusters may represent different mechanisms of refractoriness and implicate putative therapeutic vulnerabilities.
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Affiliation(s)
- Shrabanti Chowdhury
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jacob J Kennedy
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Richard G Ivey
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Oscar D Murillo
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Noshad Hosseini
- Department of Computational Medicine and Bioinformatics, Michigan Center for Translational Pathology, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA
| | - Xiaoyu Song
- Tisch Cancer Institute, Department of Population Health Science and Policy, Institute for Health Care Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Francesca Petralia
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anna Calinawan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sara R Savage
- Lester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Umut Ozbek
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Azra Krek
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Weiping Ma
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Jiayi Ji
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Chenwei Lin
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Uliana J Voytovich
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Yajue Huang
- Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Sun-Hee Lee
- Departments of Oncology and Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Lindsay Bergan
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Travis D Lorentzen
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Andrew N Hoofnagle
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Zachary T Herbert
- Molecular Biology Core Facilities, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, Department of Computational Medicine and Bioinformatics, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jeffrey R Whiteaker
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - David Fenyo
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Wilson McKerrow
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Joshua Wang
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Stephan C Schürer
- Department of Molecular and Cellular Pharmacology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, and Institute for Data Science & Computing, University of Miami, Miami, FL 33136, USA
| | - Vasileios Stathias
- Department of Molecular and Cellular Pharmacology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, and Institute for Data Science & Computing, University of Miami, Miami, FL 33136, USA
| | - X Steven Chen
- Department of Public Health Sciences, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Mary Helen Barcellos-Hoff
- Helen Diller Family Comprehensive Cancer Center, Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA 94115, USA
| | - Timothy K Starr
- Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Boris J Winterhoff
- Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Andrew C Nelson
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Samuel C Mok
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Scott H Kaufmann
- Departments of Oncology and Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Charles Drescher
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Marcin Cieslik
- Department of Pathology, Department of Computational Medicine and Bioinformatics, Michigan Center for Translational Pathology, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Michael J Birrer
- Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
| | - Amanda G Paulovich
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
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Ma L, Gonzalez-Junca A, Chou W, Barcellos-Hoff MH. Monitoring TGFβ signaling in irradiated tumors. Methods Cell Biol 2023; 180:49-67. [PMID: 37890932 DOI: 10.1016/bs.mcb.2023.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2023]
Abstract
Transforming growth factor β (TGFβ) is exquisitely regulated under physiological conditions but its activity is highly dysregulated in cancer. All cells make TGFβ and have receptors for the ligand, which is sequestered in the extracellular matrix in a latent form. Ionizing radiation elicits rapid release of TGFβ from these stores, so-called activation, over a wide range of doses and exposures, including low dose (<1Gy) whole-body irradiation, creating an extraordinarily potent signal in the irradiated tissue or tumor. Hence, accurate evaluation of TGFβ activity is complicated because of its ubiquitous distribution as a latent complex. Here we describe conditions for assays that reveal TGFβ activity in situ using either tissue preparations or functional imaging.
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Affiliation(s)
- Lin Ma
- Department of Radiation Oncology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States
| | - Alba Gonzalez-Junca
- Department of Radiation Oncology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States
| | - William Chou
- Department of Radiation Oncology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States
| | - Mary Helen Barcellos-Hoff
- Department of Radiation Oncology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States.
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6
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Zuo N, Ma L, Hu W, Deng Y, Wei L, Liu Q. Detection of Alternative End-Joining in HNSC Cell Lines Using DNA Double-Strand Break Reporter Assays. Bio Protoc 2022; 12:e4506. [PMID: 36213110 PMCID: PMC9501725 DOI: 10.21769/bioprotoc.4506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/22/2022] [Accepted: 07/25/2022] [Indexed: 12/29/2022] Open
Abstract
The main cellular pathways to repair DNA double-strand breaks (DSBs) and protect the integrity of the genome are homologous recombination (HR), non-homologous end-joining (NHEJ), and alternative end-joining (Alt-EJ). Polymerase theta-regulated Alt-EJ is an error-prone DSB repair pathway characterized by microhomology usage. Considering its importance in cancer treatment, technologies for detection of Alt-EJ in cancer cells may facilitate the study of the mechanisms of carcinogenesis and the development of new therapeutic targets. DSB reporter assay is the classical method for detecting Alt-EJ, which is primarily based on components of EJ2-puro cassette integration, I-SceI cleaving, and flow cytometry analysis. Here, we described an assay based on a modified I-Scel plasmid that can screen head and neck squamous cell carcinoma (HNSC) cells that were successfully transfected using selection medium with hygrovetine. We expect that this protocol will improve the fidelity and accuracy of reporter assays. Graphical abstract: Schematic overview of the workflow for establishment of Alt-EJ reporters.
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Affiliation(s)
- Nan Zuo
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China,Department of Stomatology, the First Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Lin Ma
- Department of Stomatology, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong 518055, China,Institute of Stomatological Research, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Weitao Hu
- Department of Stomatology, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong 518055, China,Institute of Stomatological Research, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Yongqiang Deng
- Department of Stomatology, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong 518055, China,Institute of Stomatological Research, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Lanlan Wei
- Department of Stomatology, the First Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Qi Liu
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China,*For correspondence:
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