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Hathaway CA, Townsend MK, Wang T, Vinci C, Jake-Schoffman DE, Hecht JL, Saeed-Vafa D, Moran Segura C, Nguyen JV, Conejo-Garcia JR, Fridley BL, Tworoger SS. Lifetime Exposure to Cigarette Smoke, B-Cell Tumor Immune Infiltration, and Immunoglobulin Abundance in Ovarian Tumors. Cancer Epidemiol Biomarkers Prev 2024; 33:796-803. [PMID: 38517322 PMCID: PMC11147730 DOI: 10.1158/1055-9965.epi-23-1142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/08/2024] [Accepted: 03/20/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Cigarette smoke exposure has been linked to systemic immune dysfunction, including for B-cell and immunoglobulin (Ig) production, and poor outcomes in patients with ovarian cancer. No study has evaluated the impact of smoke exposure across the life-course on B-cell infiltration and Ig abundance in ovarian tumors. METHODS We measured markers of B and plasma cells and Ig isotypes using multiplex immunofluorescence on 395 ovarian cancer tumors in the Nurses' Health Study (NHS)/NHSII. We conducted beta-binomial analyses evaluating odds ratios (OR) and 95% confidence intervals (CI) for positivity of immune markers by cigarette exposure among cases and Cox proportional hazards models to evaluate hazard ratios (HR) and 95% CI for developing tumors with low ( RESULTS There were no associations between smoke exposure and B-cell or IgM infiltration in ovarian tumors. Among cases, we observed higher odds of IgA+ among ever smokers (OR, 1.54; 95% CI, 1.14-2.07) and ever smokers with no parental smoke exposure (OR, 2.03; 95% CI, 1.18-3.49) versus never smokers. Women with parental cigarette smoke exposure versus not had higher risk of developing ovarian cancer with low IgG+ (HR, 1.51; 95% CI, 1.10-2.09), whereas ever versus never smokers had a lower risk (HR, 0.74; 95% CI, 0.56-0.99). CONCLUSIONS Ever smoking was associated with increased odds of IgA in ovarian tumors. IMPACT IgA has been associated with improved ovarian cancer outcomes, suggesting that although smoking is associated with poor outcomes in patients with ovarian cancer, it may lead to improved tumor immunogenicity.
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Affiliation(s)
| | - Mary K Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Tianyi Wang
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Christine Vinci
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | | | - Jonathan L Hecht
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Daryoush Saeed-Vafa
- Department of Anatomic Pathology, Moffitt Cancer Center, Tampa, Florida
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida
| | - Carlos Moran Segura
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida
| | - Jonathan V Nguyen
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida
| | - Jose R Conejo-Garcia
- Department of Immunology, Duke University School of Medicine, Durham, North Carolina
| | - Brooke L Fridley
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
- Knight Cancer Institute and Division of Oncological Sciences, Oregon Health & Science University, Portland, Oregon
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Soupir AC, Townsend MK, Hathaway CA, Nguyen J, Moran Segura C, Saeed-Vafa D, Ospina OE, Peres LC, Conejo-Garcia JR, Terry KL, Tworoger SS, Fridley BL. WITHDRAWN: Impact of spatial clustering of cytotoxic and tumor infiltrating lymphocytes on overall survival in women with high grade serous ovarian cancer. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.16.24301371. [PMID: 38293174 PMCID: PMC10827255 DOI: 10.1101/2024.01.16.24301371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
The authors have withdrawn their manuscript owing to incorrect handling of multiple measures in the survival analyses. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.
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Hathaway CA, Townsend MK, Conejo-Garcia JR, Fridley BL, Moran Segura C, Nguyen JV, Armaiz-Pena GN, Sasamoto N, Saeed-Vafa D, Terry KL, Kubzansky LD, Tworoger SS. The relationship of lifetime history of depression on the ovarian tumor immune microenvironment. Brain Behav Immun 2023; 114:52-60. [PMID: 37557966 PMCID: PMC10592154 DOI: 10.1016/j.bbi.2023.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 08/04/2023] [Accepted: 08/06/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Depression is associated with a higher ovarian cancer risk. Prior work suggests that depression can lead to systemic immune suppression, which could potentially alter the anti-tumor immune response. METHODS We evaluated the association of pre-diagnosis depression with features of the anti-tumor immune response, including T and B cells and immunoglobulins, among women with ovarian tumor tissue collected in three studies, the Nurses' Health Study (NHS; n = 237), NHSII (n = 137) and New England Case-Control Study (NECC; n = 215). Women reporting depressive symptoms above a clinically relevant cut-point, antidepressant use, or physician diagnosis of depression at any time prior to diagnosis of ovarian cancer were considered to have pre-diagnosis depression. Multiplex immunofluorescence was performed on tumor tissue microarrays to measure immune cell infiltration. In pooled analyses, we estimated odds ratios (OR) and 95% confidence intervals (CI) for the positivity of tumor immune cells using a beta-binomial model comparing those with and without depression. We used Bonferroni corrections to adjust for multiple comparisons. RESULTS We observed no statistically significant association between depression status and any immune markers at the Bonferroni corrected p-value of 0.0045; however, several immune markers were significant at a nominal p-value of 0.05. Specifically, there were increased odds of having recently activated cytotoxic (CD3+CD8+CD69+) and exhausted-like T cells (CD3+Lag3+) in tumors of women with vs. without depression (OR = 1.36, 95 %CI = 1.09-1.69 and OR = 1.24, 95 %CI = 1.01-1.53, respectively). Associations were comparable when considering high grade serous tumors only (comparable ORs = 1.33, 95 %CI = 1.05-1.69 and OR = 1.25, 95 %CI = 0.99-1.58, respectively). There were decreased odds of having tumor infiltrating plasma cells (CD138+) in women with vs. without depression (OR = 0.54, 95 %CI = 0.33-0.90), which was similar among high grade serous carcinomas, although not statistically significant. Depression was also related to decreased odds of having naïve and memory B cells (CD20+: OR = 0.54, 95 %CI = 0.30-0.98) and increased odds of IgG (OR = 1.22, 95 %CI = 0.97-1.53) in high grade serous carcinomas. CONCLUSION Our results provide suggestive evidence that depression may influence ovarian cancer outcomes through changes in the tumor immune microenvironment, including increasing T cell activation and exhaustion and reducing antibody-producing B cells. Further studies with clinical measures of depression and larger samples are needed to confirm these results.
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Affiliation(s)
| | - Mary K Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | | | - Brooke L Fridley
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA
| | - Carlos Moran Segura
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, FL, USA
| | - Jonathan V Nguyen
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, FL, USA
| | - Guillermo N Armaiz-Pena
- Department of Basic Sciences, Division of Pharmacology, School of Medicine, Ponce Health Sciences University, Ponce, PR, USA
| | - Naoko Sasamoto
- Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Daryoush Saeed-Vafa
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, FL, USA; Department of Anatomic Pathology, Moffitt Cancer Center, Tampa, FL, USA
| | - Kathryn L Terry
- Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA.
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Johnson CE, Alberg AJ, Bandera EV, Peres LC, Akonde M, Collin LJ, Cote ML, Hastert TA, Hébert JR, Peters ES, Qin B, Terry P, Schwartz AG, Bondy M, Epstein MP, Mandle HB, Marks JR, Lawson AB, Schildkraut JM. Association of inflammation-related exposures and ovarian cancer survival in a multi-site cohort study of Black women. Br J Cancer 2023; 129:1119-1125. [PMID: 37537254 PMCID: PMC10539498 DOI: 10.1038/s41416-023-02385-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND An association was observed between an inflammation-related risk score (IRRS) and worse overall survival (OS) among a cohort of mostly White women with invasive epithelial ovarian cancer (EOC). Herein, we evaluated the association between the IRRS and OS among Black women with EOC, a population with higher frequencies of pro-inflammatory exposures and worse survival. METHODS The analysis included 592 Black women diagnosed with EOC from the African American Cancer Epidemiology Study (AACES). Cox proportional hazards models were used to compute hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of the IRRS and OS, adjusting for relevant covariates. Additional inflammation-related exposures, including the energy-adjusted Dietary Inflammatory Index (E-DIITM), were evaluated. RESULTS A dose-response trend was observed showing higher IRRS was associated with worse OS (per quartile HR: 1.11, 95% CI: 1.01-1.22). Adding the E-DII to the model attenuated the association of IRRS with OS, and increasing E-DII, indicating a more pro-inflammatory diet, was associated with shorter OS (per quartile HR: 1.12, 95% CI: 1.02-1.24). Scoring high on both indices was associated with shorter OS (HR: 1.54, 95% CI: 1.16-2.06). CONCLUSION Higher levels of inflammation-related exposures were associated with decreased EOC OS among Black women.
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Affiliation(s)
- Courtney E Johnson
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Anthony J Alberg
- Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, USA
| | - Elisa V Bandera
- Cancer and Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Lauren C Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Maxwell Akonde
- Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, USA
| | - Lindsay J Collin
- Department of Population Health Sciences, University of Utah Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Michele L Cote
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University, Bloomington, IN, USA
| | - Theresa A Hastert
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA
| | - James R Hébert
- Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, USA
| | - Edward S Peters
- Department of Epidemiology, University of Nebraska Medical Center College of Public Health, Omaha, NE, USA
| | - Bonnie Qin
- Cancer and Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Paul Terry
- Department of Medicine, University of Tennessee Medical Center-Knoxville, Knoxville, TN, USA
| | - Ann G Schwartz
- Department of Oncology, Wayne State University School of Medicine Karmanos Cancer Institute, Detroit, MI, USA
| | - Melissa Bondy
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael P Epstein
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Hannah B Mandle
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Jeffrey R Marks
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Andrew B Lawson
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
- Usher Institute, School of Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Joellen M Schildkraut
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
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