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Ambrose N, Amin A, Anderson B, Bertagnolli M, Campion F, Chow D, Danan R, D'Arinzo L, Drews A, Erlandson K, Fitzgerald K, Gaspar F, Gong C, Hanna G, Hawley H, Jones S, Lopansri B, Mullen T, Musser J, O'Horo J, Piantadosi S, Pritt B, Razonable R, Rele S, Roberts S, Sandmeyer S, Stein D, Te J, Vahidy F, Webb B, Welch N, Wood A, Yttri J. The Influence of Social Determinants on Receiving Outpatient Treatment with Monoclonal Antibodies, Disease Risk, and Effectiveness for COVID-19. J Gen Intern Med 2023; 38:3472-3481. [PMID: 37715096 PMCID: PMC10713505 DOI: 10.1007/s11606-023-08324-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 07/05/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND Limited research has studied the influence of social determinants of health (SDoH) on the receipt, disease risk, and subsequent effectiveness of neutralizing monoclonal antibodies (nMAbs) for outpatient treatment of COVID-19. OBJECTIVE To examine the influence of SDoH variables on receiving nMAb treatments and the risk of a poor COVID-19 outcome, as well as nMAb treatment effectiveness across SDoH subgroups. DESIGN Retrospective observational study utilizing electronic health record data from four health systems. SDoH variables analyzed included race, ethnicity, insurance, marital status, Area Deprivation Index, and population density. PARTICIPANTS COVID-19 patients who met at least one emergency use authorization criterion for nMAb treatment. MAIN MEASURE We used binary logistic regression to examine the influence of SDoH variables on receiving nMAb treatments and risk of a poor outcome from COVID-19 and marginal structural models to study treatment effectiveness. RESULTS The study population included 25,241 (15.1%) nMAb-treated and 141,942 (84.9%) non-treated patients. Black or African American patients were less likely to receive treatment than white non-Hispanic patients (adjusted odds ratio (OR) = 0.86; 95% CI = 0.82-0.91). Patients who were on Medicaid, divorced or widowed, living in rural areas, or living in areas with the highest Area Deprivation Index (most vulnerable) had lower odds of receiving nMAb treatment, but a higher risk of a poor outcome. For example, compared to patients on private insurance, Medicaid patients had 0.89 (95% CI = 0.84-0.93) times the odds of receiving nMAb treatment, but 1.18 (95% CI = 1.13-1.24) times the odds of a poor COVID-19 outcome. Age, comorbidities, and COVID-19 vaccination status had a stronger influence on risk of a poor outcome than SDoH variables. nMAb treatment benefited all SDoH subgroups with lower rates of 14-day hospitalization and 30-day mortality. CONCLUSION Disparities existed in receiving nMAbs within SDoH subgroups despite the benefit of treatment across subgroups.
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Affiliation(s)
| | - Alpesh Amin
- Department of Medicine, University of California, Irvine, CA, USA
- Hospital Medicine Program, University of California, Irvine, CA, USA
| | | | - Monica Bertagnolli
- Division of Surgical Oncology, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Francis Campion
- The MITRE Corporation, Bedford, MA, USA.
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA.
| | - Dan Chow
- Department of Radiological Sciences, University of California, Irvine, CA, USA
| | | | | | - Ashley Drews
- Division of Infectious Diseases, Department of Medicine, Houston Methodist, Houston, TX, USA
- Houston Methodist Academic Institute, Houston, TX, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Karl Erlandson
- Biomedical Advanced Research and Development Authority (BARDA), Administration for Strategic Preparedness and Response, US Department of Health and Human Services, Washington, DC, USA
| | | | | | - Carlene Gong
- Booz Allen Hamilton in Support of BARDA, Washington, DC, USA
| | - George Hanna
- Tunnell Government Services in Support of BARDA, Princeton, NJ, USA
| | | | - Stephen Jones
- Center for Health Data Science and Analytics, Houston Methodist, Houston, TX, USA
| | - Bert Lopansri
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Health, Murray, UT, USA
- Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Ty Mullen
- The MITRE Corporation, Bedford, MA, USA
| | - James Musser
- Laboratory of Molecular and Translational Human Infectious Disease Research, Center for Infectious Diseases, Department of Pathology and Genomic Medicine, Houston Methodist Research Institute and Houston Methodist Hospital, Houston, TX, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, USA
- Department of Microbiology and Immunology, Weill Cornell Medical College, New York, NY, USA
| | - John O'Horo
- Center for Individualized Medicine-Mayo Clinic Research, Rochester, MN, USA
| | - Steven Piantadosi
- Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Bobbi Pritt
- Center for Individualized Medicine-Mayo Clinic Research, Rochester, MN, USA
| | - Raymund Razonable
- Center for Individualized Medicine-Mayo Clinic Research, Rochester, MN, USA
| | - Shyam Rele
- The MITRE Corporation, Bedford, MA, USA
- Shabas Solutions LLC in Support of BARDA, Fairfax, VA, USA
| | | | - Suzanne Sandmeyer
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, USA
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, CA, USA
| | | | - Jerez Te
- The MITRE Corporation, Bedford, MA, USA
| | - Farhaan Vahidy
- Center for Health Data Science and Analytics, Houston Methodist, Houston, TX, USA
- Department of Neurosurgery, Houston Methodist, Houston, TX, USA
- Department of Population Health Science, Weill Cornell Medical College, New York, NY, USA
| | - Brandon Webb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Health, Murray, UT, USA
- Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, UT, USA
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Lee S, Zhao L, Rojas C, Bateman NW, Yao H, Lara OD, Celestino J, Morgan MB, Nguyen TV, Conrads KA, Rangel KM, Dood RL, Hajek RA, Fawcett GL, Chu RA, Wilson K, Loffredo JL, Viollet C, Jazaeri AA, Dalgard CL, Mao X, Song X, Zhou M, Hood BL, Banskota N, Wilkerson MD, Te J, Soltis AR, Roman K, Dunn A, Cordover D, Eterovic AK, Liu J, Burks JK, Baggerly KA, Fleming ND, Lu KH, Westin SN, Coleman RL, Mills GB, Casablanca Y, Zhang J, Conrads TP, Maxwell GL, Futreal PA, Sood AK. Molecular Analysis of Clinically Defined Subsets of High-Grade Serous Ovarian Cancer. Cell Rep 2020; 31:107502. [PMID: 32294438 PMCID: PMC7234854 DOI: 10.1016/j.celrep.2020.03.066] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 01/02/2020] [Accepted: 03/19/2020] [Indexed: 12/30/2022] Open
Abstract
The diversity and heterogeneity within high-grade serous ovarian cancer (HGSC), which is the most lethal gynecologic malignancy, is not well understood. Here, we perform comprehensive multi-platform omics analyses, including integrated analysis, and immune monitoring on primary and metastatic sites from highly clinically annotated HGSC samples based on a laparoscopic triage algorithm from patients who underwent complete gross resection (R0) or received neoadjuvant chemotherapy (NACT) with excellent or poor response. We identify significant distinct molecular abnormalities and cellular changes and immune cell repertoire alterations between the groups, including a higher rate of NF1 copy number loss, and reduced chromothripsis-like patterns, higher levels of strong-binding neoantigens, and a higher number of infiltrated T cells in the R0 versus the NACT groups.
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Affiliation(s)
- Sanghoon Lee
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Li Zhao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christine Rojas
- Women's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Fairfax Medical Campus, Falls Church, VA, USA; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Nicholas W Bateman
- Women's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Fairfax Medical Campus, Falls Church, VA, USA; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Hui Yao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Olivia D Lara
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Joseph Celestino
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Margaret B Morgan
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tri V Nguyen
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kelly A Conrads
- Women's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Fairfax Medical Campus, Falls Church, VA, USA; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Kelly M Rangel
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert L Dood
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Richard A Hajek
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gloria L Fawcett
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Randy A Chu
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Katlin Wilson
- Women's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Fairfax Medical Campus, Falls Church, VA, USA; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Jeremy L Loffredo
- Women's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Fairfax Medical Campus, Falls Church, VA, USA; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Coralie Viollet
- The American Genome Center, Collaborative Health Initiative Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Amir A Jazaeri
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Clifton L Dalgard
- The American Genome Center, Collaborative Health Initiative Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Department of Anatomy, Physiology & Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Xizeng Mao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ming Zhou
- Women's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Fairfax Medical Campus, Falls Church, VA, USA; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Brian L Hood
- Women's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Fairfax Medical Campus, Falls Church, VA, USA; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Nirad Banskota
- Women's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Fairfax Medical Campus, Falls Church, VA, USA; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Matthew D Wilkerson
- The American Genome Center, Collaborative Health Initiative Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Department of Anatomy, Physiology & Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Jerez Te
- The American Genome Center, Collaborative Health Initiative Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Department of Anatomy, Physiology & Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Anthony R Soltis
- The American Genome Center, Collaborative Health Initiative Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | | | | | | | - Agda Karina Eterovic
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jinsong Liu
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jared K Burks
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Keith A Baggerly
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicole D Fleming
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Karen H Lu
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shannon N Westin
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert L Coleman
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gordon B Mills
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yovanni Casablanca
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Thomas P Conrads
- Women's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Fairfax Medical Campus, Falls Church, VA, USA; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - George L Maxwell
- Women's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Fairfax Medical Campus, Falls Church, VA, USA; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anil K Sood
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Te J, Viollet C, Zhang X, Singh J, Hooke JA, Pollard HB, Hu H, Shriver CD, Dalgard CL, Wilkerson MD. Abstract 5403: Reproducible elevation of RNA versus DNA mutation signal in low purity breast tumors. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-5403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Accurate detection of somatic mutations is critical for informing targeted therapy options. Prevalent non-cancer cell admixture complicates this detection in breast cancer. Conventional mutation detection relies on DNA sequencing; however in prior work, we demonstrated that combining RNA and DNA sequencing increases mutation signal strength, or mutant allele fraction (MAF). The ratio of RNA MAF versus DNA MAF (RNA:DNA MAF) was greatest in low purity breast tumors. We hypothesized that this elevation is biologically driven and would be conserved in a second, distinct tissue specimen of the same tumors. Here, we compare mutation characteristics between two tissue blocks in a cohort of breast tumors (n = 8) to evaluate possible preservation of RNA versus DNA mutation signal throughout the tumor.
Methods: We selected four high purity and four low purity breast tumors (“Block1”) from The Cancer Genome Atlas (TCGA) cohort and associated ABSOLUTE purity analysis. For these tumors, we acquired a second tissue block (“Block2”) not analyzed by TCGA, cut sections, analyzed sections by H&E stains, and extracted nucleic acids. Whole genome DNA sequencing and mRNA sequencing was performed for Block2 specimens using Illumina X and NextSeq 500 sequencers, respectively. Somatic mutations in Block2 were detected using UNCeqR and compared to published UNCeqR somatic mutations from TCGA. We then evaluate MAF characteristics in the entire TCGA breast tumor cohort (n = 695).
Results: Tumor purity estimates, determined by histology and by sequencing, were reduced in Block2 of the low purity tumor set versus the high purity tumor set, consistent with Block1 analysis. Molecular properties of genome-wide gene expression and somatic DNA copy number were highly similar between block-mated specimens (p < 0.01). We then identified expressed mutations present in Block1 and Block2 of the same tumor and compared the MAFs on these common mutations. DNA MAF and RNA MAF were each significantly correlated between Block1 and Block2 (p < 1e-12 in both cases). The average RNA:DNA MAF was 2.5 for the cohort, indicating that RNA mutation signal is greater than DNA in general. In Block2 specimens, the RNA:DNA MAFs were significantly greater in the low purity tumor set than the high purity tumor set (mean 2.7 versus 2.1, p < 6e-5), reflecting the same trend observed in Block1 specimens. Analyzing the entire TCGA cohort, RNA:DNA MAF was positively correlated with proliferation pathway gene expression (p < 3e-16 ) and was greatest in the Basal subtype versus other subtypes (p < 2e-9).
Conclusion: Mutant allele fraction both of DNA and of RNA was conserved across breast tumor subsections. Low purity and basal subtype breast tumors had elevated RNA:DNA MAF supporting a relationship to underlying biology and identifying classes of tumors with pronounced benefit for DNA and RNA integrated mutation analysis.
Citation Format: Jerez Te, Coralie Viollet, Xijun Zhang, Jatinder Singh, Jeffrey A. Hooke, Harvey B. Pollard, Hai Hu, Craig D. Shriver, Clifton L. Dalgard, Matthew D. Wilkerson. Reproducible elevation of RNA versus DNA mutation signal in low purity breast tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5403. doi:10.1158/1538-7445.AM2017-5403
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Affiliation(s)
- Jerez Te
- 1Uniformed Services University; The American Genome Center, Bethesda, MD
| | - Coralie Viollet
- 1Uniformed Services University; The American Genome Center, Bethesda, MD
| | - Xijun Zhang
- 1Uniformed Services University; The American Genome Center, Bethesda, MD
| | - Jatinder Singh
- 1Uniformed Services University; The American Genome Center, Bethesda, MD
| | - Jeffrey A. Hooke
- 2John P. Murtha Cancer Center; Walter Reed National Military Medical Center, Bethesda, MD
| | - Harvey B. Pollard
- 1Uniformed Services University; The American Genome Center, Bethesda, MD
| | - Hai Hu
- 3Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA
| | - Craig D. Shriver
- 2John P. Murtha Cancer Center; Walter Reed National Military Medical Center, Bethesda, MD
| | - Clifton L. Dalgard
- 1Uniformed Services University; The American Genome Center, Bethesda, MD
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