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Structurally Oriented Classification of FOXA1 Alterations Identifies Prostate Cancers with Opposing Clinical Outcomes and Distinct Molecular and Immunologic Subtypes
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Abstract
Purpose: Around 10% to 15% of prostate cancers harbor recurrent aberrations in the Forkhead Box A1 gene, FOXA1, whereby the alteration type and the effect on the forkhead (FKH) domain affect protein function. We developed a FOXA1 classification system to inform clinical management. Experimental Design: A total of 5,014 prostate cancer samples were examined using whole-exome and -transcriptome sequencing from the Caris Life Sciences database. We denoted class 1 FOXA1 alterations as missense and in-frame insertions/deletions with subclasses oriented with respect to the FKH domain. These were in the first part of the FKH domain [class 1A: amino acids (AA) 168–246], within the Wing2 region of FKH (class 1B: AA 247–269), or outside FKH (class 1C: AA 1–167, 270+). Two hotspot missense mutations at R219 were denoted class 2. Class 3 included predicted truncating mutations with subclasses partitioned based on the FKH domain (class 3A: AA 1–269 and class 3B: AA 270+). Class 4 represented FOXA1 amplifications. Real-world overall survival and therapy outcomes were determined from insurance claims. Results: FOXA1 alterations did not influence survival when considered in aggregate but had distinct prognostic effects when stratified by class. In primary prostate samples, class 1A alterations were associated with overall improved survival (HR, 0.57; P = 0.03); a similar trend was seen in metastatic biopsies with class 1B (HR, 0.84; P = 0.09). Conversely, in primary specimens, class 1C exhibited worse survival upon second-generation androgen receptor signaling inhibitor treatment (HR, 1.93; P < 0.001). Class 2 mutations (R219C/S) were enriched in neuroendocrine prostate cancers and were associated with overall poor survival (HR, 2.05; P < 0.001) and worse outcomes to first-line androgen-deprivation therapies (HR, 2.5; P < 0.001). Class 3A alterations indicated improved survival (HR, 0.70; P = 0.01), whereas class 3B alterations portended poor outcomes (HR, 1.50; P < 0.001). Amplifications (class 4) indicated poor outcomes in metastatic samples (HR, 1.48; P = 0.02). Molecularly, different FOXA1 alteration classes harbored distinct mutational and immunologic features as well as unique transcriptional programs. Finally, relative to European Americans, African Americans had increased class 1C alterations, whereas Asian/Pacific Islander patients had increased class 1B alterations. Conclusions: FOXA1 alterations should not be interpreted in aggregate, as different classes are associated with divergent molecular features and clinical outcomes. Our revised classification schema facilitates clinical decision-making for patients with prostate cancer and uncovers important racial differences.
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Antonarakis, E. S., Piulats, J. M., Gross-Goupil, M., Goh, J., Ojamaa, K., Hoimes, C. J., Vaishampayan, U., Berger, R., Sezer, A., Alanko, T., et al. (2020) · Journal of Clinical Oncology · doi:10.1200/jco.19.01638 · Cited by 736
Self-citationDistinct structural classes of activating FOXA1 alterations in advanced prostate cancer
Parolia, A., Cieslik, M., Chu, S.-C., Xiao, L., Ouchi, T., Zhang, Y., Wang, X., Vats, P., Cao, X., Pitchiaya, S., et al. (2019) · Nature · doi:10.1038/s41586-019-1347-4 · Cited by 284
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Research works printed but not linked: 44
- Sung, 2021, Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries, CA Cancer J Clin, 71, 209, 10.3322/caac.21660 · DOI · Paper page
- Dai, 2017, Androgen signaling in prostate cancer, Cold Spring Harb Perspect Med, 7, a030452, 10.1101/cshperspect.a030452 · DOI
- Pomerantz, 2015, The androgen receptor cistrome is extensively reprogrammed in human prostate tumorigenesis, Nat Genet, 47, 1346, 10.1038/ng.3419 · DOI · Paper page
- Jozwik, 2012, Pioneer factors in hormone-dependent cancers, Nat Rev Cancer, 12, 381, 10.1038/nrc3263 · DOI
- Teng, 2021, Pioneer of prostate cancer: past, present and the future of FOXA1, Protein Cell, 12, 29, 10.1007/s13238-020-00786-8 · DOI
- Baca, 2021, Reprogramming of the FOXA1 cistrome in treatment-emergent neuroendocrine prostate cancer, Nat Commun, 12, 1979, 10.1038/s41467-021-22139-7 · DOI
- Pomerantz, 2020, Prostate cancer reactivates developmental epigenomic programs during metastatic progression, Nat Genet, 52, 790, 10.1038/s41588-020-0664-8 · DOI
- Adams, 2019, FOXA1 mutations alter pioneering activity, differentiation and prostate cancer phenotypes, Nature, 571, 408, 10.1038/s41586-019-1318-9 · DOI
- Imamura, 2012, FOXA1 promotes tumor progression in prostate cancer via the insulin-like growth factor binding protein 3 pathway, PLoS One, 7, e42456, 10.1371/journal.pone.0042456 · DOI
- Sahu, 2011, Dual role of FoxA1 in androgen receptor binding to chromatin, androgen signalling and prostate cancer, EMBO J, 30, 3962, 10.1038/emboj.2011.328 · DOI
- Abida, 2019, Genomic correlates of clinical outcome in advanced prostate cancer, Proc Natl Acad Sci U S A, 116, 11428, 10.1073/pnas.1902651116 · DOI · Paper page
- Robinson, 2015, Integrative clinical genomics of advanced prostate cancer, Cell, 162, 454, 10.1016/j.cell.2015.06.053 · DOI
- Barbieri, 2012, Exome sequencing identifies recurrent SPOP, FOXA1 and MED12 mutations in prostate cancer, Nat Genet, 44, 685, 10.1038/ng.2279 · DOI
- Cirillo, 2007, Specific interactions of the wing domains of FOXA1 transcription factor with DNA, J Mol Biol, 366, 720, 10.1016/j.jmb.2006.11.087 · DOI
- Dai, 2021, Toward a mechanistic understanding of DNA binding by forkhead transcription factors and its perturbation by pathogenic mutations, Nucleic Acids Res, 49, 10235, 10.1093/nar/gkab807 · DOI
- Avila, 2019, Next-generation sequencing for the general cancer patient, Clin Adv Hematol Oncol, 17, 447
- Abraham, 2021, Clinical validation of a machine-learning-derived signature predictive of outcomes from first-line oxaliplatin-based chemotherapy in advanced colorectal cancer, Clin Cancer Res, 27, 1174, 10.1158/1078-0432.CCR-20-3286 · DOI
- Hwang, 2023, Metastatic prostate cancers with BRCA2 versus ATM mutations exhibit divergent molecular features and clinical outcomes, Clin Cancer Res, 29, 2702, 10.1158/1078-0432.CCR-22-3394 · DOI
- Epstein, 2014, Proposed morphologic classification of prostate cancer with neuroendocrine differentiation, Am J Surg Pathol, 38, 756, 10.1097/PAS.0000000000000208 · DOI
- Silk, 2019, MTR-Viewer: identifying regions within genes under purifying selection, Nucleic Acids Res, 47, W121, 10.1093/nar/gkz457 · DOI
- Benjamini, 2001, Controlling the false discovery rate in behavior genetics research, Behav Brain Res, 125, 279, 10.1016/S0166-4328(01)00297-2 · DOI · Paper page
- Choi, 2022, FOXL2 and FOXA1 cooperatively assemble on the TP53 promoter in alternative dimer configurations, Nucleic Acids Res, 50, 8929, 10.1093/nar/gkac673 · DOI
- Newman, 2020, The crystal structure of human forkhead box N1 in complex with DNA reveals the structural basis for forkhead box family specificity, J Biol Chem, 295, 2948, 10.1074/jbc.RA119.010365 · DOI
- Schymkowitz, 2005, The FoldX web server: an online force field, Nucleic Acids Res, 33, W382, 10.1093/nar/gki387 · DOI · Paper page
- UniProt Consortium, 2023, UniProt: the universal protein knowledgebase in 2023, Nucleic Acids Res, 51, D523, 10.1093/nar/gkac1052 · DOI · Paper page
- Ayers, 2017, IFN-gamma-related mRNA profile predicts clinical response to PD-1 blockade, J Clin Invest, 127, 2930, 10.1172/JCI91190 · DOI · Paper page
- Bao, 2020, Molecular correlates and therapeutic targets in T cell-inflamed versus non-T cell-inflamed tumors across cancer types, Genome Med, 12, 90, 10.1186/s13073-020-00787-6 · DOI
- Beltran, 2016, Divergent clonal evolution of castration-resistant neuroendocrine prostate cancer, Nat Med, 22, 298, 10.1038/nm.4045 · DOI
- Finotello, 2019, Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data, Genome Med, 11, 34, 10.1186/s13073-019-0638-6 · DOI
- Abida, 2017, Prospective genomic profiling of prostate cancer across disease states reveals germline and somatic alterations that may affect clinical decision making, JCO Precis Oncol, 2017, PO.17.00029
- Antonarakis, 2019, Clinical features and therapeutic outcomes in men with advanced prostate cancer and DNA mismatch repair gene mutations, Eur Urol, 75, 378, 10.1016/j.eururo.2018.10.009 · DOI
- Anestis, 2020, Androgen receptor in breast cancer-clinical and preclinical research insights, Molecules, 25, 358, 10.3390/molecules25020358 · DOI
- Li, 2017, Androgen receptor signaling in bladder cancer, Cancers (Basel), 9, 20, 10.3390/cancers9020020 · DOI
- Xu, 2019, Androgen receptor immunohistochemistry in salivary duct carcinoma: a retrospective study of 188 cases focusing on tumoral heterogeneity and temporal concordance, Hum Pathol, 93, 30, 10.1016/j.humpath.2019.08.007 · DOI
- Li, 2020, A genomic and epigenomic atlas of prostate cancer in Asian populations, Nature, 580, 93, 10.1038/s41586-020-2135-x · DOI
- Coughlin, 2020, A review of social determinants of prostate cancer risk, stage, and survival, Prostate Int, 8, 49, 10.1016/j.prnil.2019.08.001 · DOI
- Kelly, 2023, Social determinants of health: does socioeconomic status affect access to staging imaging for men with prostate cancer, Prostate Cancer Prostatic Dis, 26, 429, 10.1038/s41391-022-00508-7 · DOI
- Key, 1997, A case-control study of diet and prostate cancer, Br J Cancer, 76, 678, 10.1038/bjc.1997.445 · DOI
- Matsushita, 2020, Influence of diet and nutrition on prostate cancer, Int J Mol Sci, 21, 1447, 10.3390/ijms21041447 · DOI
- Antonarakis, 2023, Pembrolizumab plus olaparib for patients with previously treated and biomarker-unselected metastatic castration-resistant prostate cancer: the randomized, open-label, phase III KEYLYNK-010 trial, J Clin Oncol, 41, 3839, 10.1200/JCO.23.00233 · DOI
- Baugh, 2018, Why are there hotspot mutations in the TP53 gene in human cancers?, Cell Death Differ, 25, 154, 10.1038/cdd.2017.180 · DOI
- Olivier, 2010, TP53 mutations in human cancers: origins, consequences, and clinical use, Cold Spring Harb Perspect Biol, 2, a001008, 10.1101/cshperspect.a001008 · DOI · Paper page
- Alvarado-Ortiz, 2020, Mutant p53 gain-of-function: role in cancer development, progression, and therapeutic approaches, Front Cell Dev Biol, 8, 607670, 10.3389/fcell.2020.607670 · DOI
- Kennedy, 2022, Mutant p53: it’s not all one and the same, Cell Death Differ, 29, 983, 10.1038/s41418-022-00989-y · DOI
Metadata
- Authors
- Hwang, J., Likasitwatanakul, P., Deshmukh, S. K., Wu, S., Kwon, J. J., Toye, E., Moline, D., Evans, M. G., Elliott, A., Passow, R., Luo, C., John, E., Gandhi, N., McKay, R. R., Heath, E. I., Nabhan, C., Reizine, N., Orme, J. J., Domingo Domenech, J. M., Sartor, O., Baca, S. C., Dehm, S. M., & Antonarakis, E. S.
- Affiliations
- University of Minnesota (US)
- Caris Life Sciences (United States) (US)
- Broad Institute (US)
- University of California San Diego (US)
- Wayne State University (US)
- University of Illinois Chicago (US)
- Mayo Clinic (US)
- 11Mayo Clinic, Rochester, Minnesota.
- Dana-Farber Cancer Institute (US)
- Corresponding author
- Antonarakis, Emmanuel S.
- ORCID
- Hwang, Justin
- Likasitwatanakul, Pornlada
- Deshmukh, Sachin Kumar
- Wu, Sharon
- Kwon, Jason J.
- Toye, Eamon
- Moline, David
- Evans, Mark G.
- Elliott, Andrew
- Passow, Rachel
- Luo, Christine
- John, Emily
- Gandhi, Nishant
- McKay, Rana R.
- Heath, Elisabeth I.
- Nabhan, Chadi
- Reizine, Natalie
- Orme, Jacob J.
- Domingo Domenech, Josep M.
- Sartor, Oliver
- Baca, Sylvan C.
- Dehm, Scott M.
- Antonarakis, Emmanuel S.
- Venue
- Clinical Cancer Research
- Published
- 2025-01-02
- Volume
- 31
- Issue
- 5
- Pages
- 936-948
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- PMC
- PMC11873805
- OpenAlex
- W4405990508
- Cited by
- 12
- References
- 4
- Citations by year
- 2026: 3 · 2025: 9
- FWCI
- 7.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Clinical Cancer Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Masonic Cancer Center, University of Minnesota (CRTI TWG)
- Division of Cancer Prevention, National Cancer Institute (1R37CA288972-01, P30 CA077598, 1K99CA270290)
- U.S. Department of Defense (W81XWH-22-2-0025, W81XWH-21-1-0358)
- Damon Runyon Cancer Research Foundation (Innovation in Cancer Informatics)
- Prostate Cancer Foundation (Young Investigator Award)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Prostate Cancer Treatment and Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- prostate cancer, forkhead domain, missense mutations, truncating mutations, neuroendocrine prostate cancer, androgen receptor pathway inhibitors, androgen deprivation therapy, overall survival, prognostic stratification, molecular subtypes, metastatic prostate cancer
- MeSH terms
- Exome Sequencing, Humans, Male, Mutation, Prognosis, Prostatic Neoplasms, Biomarkers, Tumor, Gene Expression Regulation, Neoplastic, Hepatocyte Nuclear Factor 3-alpha
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