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Monge C, Waldrup B, Carranza FG, Velazquez-Villarreal E. Molecular Heterogeneity in Early-Onset Colorectal Cancer: Pathway-Specific Insights in High-Risk Populations. Cancers (Basel) 2025; 17:1325. [PMID: 40282501 PMCID: PMC12026214 DOI: 10.3390/cancers17081325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2025] [Revised: 04/04/2025] [Accepted: 04/11/2025] [Indexed: 04/29/2025] Open
Abstract
BACKGROUND/OBJECTIVES The incidence of early-onset colorectal cancer (EOCRC), defined as diagnosis before age 50, has been rising at an alarming rate, with Hispanic/Latino (H/L) individuals experiencing the most significant increases in both incidence and mortality. Despite this growing public health concern, the molecular mechanisms driving EOCRC disparities remain poorly understood. Oncogenic pathways such as WNT, TGF-beta, and RTK/RAS are critical in colorectal cancer (CRC) progression, yet their specific roles in EOCRC across diverse populations have not been extensively studied. This research seeks to identify molecular alterations within these pathways by comparing EOCRC cases in H/L and non-Hispanic White (NHW) individuals. Furthermore, we explore the clinical significance of these findings to inform precision medicine strategies tailored to high-risk populations. METHODS To investigate mutation frequencies in genes associated with the WNT, TGF-beta, and RTK/RAS pathways, we conducted a bioinformatics analysis using publicly available CRC datasets. The study cohort consisted of 3412 patients, including 302 H/L and 3110 NHW individuals. The patients were categorized based on age (EOCRC: <50 years; late-onset CRC [LOCRC]: ≥50 years) and population group (H/L vs. NHW) to assess variations in mutation prevalence. Statistical comparisons of mutation rates between the groups were conducted using chi-squared tests, while Kaplan-Meier survival analysis was employed to evaluate overall survival differences associated with pathway alterations. RESULTS Notable molecular distinctions in the RTK/RAS pathway were identified between EOCRC and LOCRC among the H/L patients, with EOCRC exhibiting a lower frequency of RTK/RAS alterations compared to LOCRC (66.7% vs. 79.3%, p = 0.01). Within this pathway, mutations in CBL (p < 0.05) and NF1 (p < 0.05) were significantly more prevalent in the EOCRC cases (5.8% vs. 1.2% and 11.6% vs. 3.7%, respectively), whereas BRAF mutations were notably less frequent in EOCRC than in LOCRC (5.1% vs. 18.3%, p < 0.05). Comparisons between the EOCRC patients from the H/L and NHW populations revealed distinct pathway-specific alterations that were more common in the H/L individuals. These included RNF43 mutations (12.3% vs. 6.7%, p < 0.05) in the WNT pathway, BMPR1A mutations (5.1% vs. 1.8%, p < 0.05) in the TGF-beta pathway, and multiple RTK/RAS pathway alterations, such as MAPK3 (3.6% vs. 0.7%, p < 0.05), CBL (5.8% vs. 1.4%, p < 0.05), and NF1 (11.6% vs. 6.1%, p < 0.05). Survival analysis in the H/L EOCRC patients did not reveal statistically significant differences based on pathway alterations. However, in the NHW EOCRC patients, the presence of WNT pathway alterations was associated with significantly improved survival outcomes, suggesting potential ethnicity-specific prognostic implications. CONCLUSIONS This study highlights the substantial molecular heterogeneity present in EOCRC, particularly among high-risk populations. The H/L EOCRC patients exhibited distinct genetic alterations, with a higher prevalence of CBL, NF1, RNF43, BMPR1A, and MAPK3 mutations compared to their NHW counterparts. Additionally, RTK/RAS pathway alterations were less frequent in EOCRC than in LOCRC. Despite these molecular differences, pathway alterations did not significantly impact survival outcomes in the H/L EOCRC patients. However, in the NHW EOCRC patients, the presence of WNT pathway alterations was associated with improved survival. These findings emphasize the necessity for further research to clarify the molecular mechanisms driving EOCRC disparities in high-risk populations and to inform precision medicine strategies for underrepresented groups.
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Affiliation(s)
- Cecilia Monge
- Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Brigette Waldrup
- Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA
| | - Francisco G. Carranza
- Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA
| | - Enrique Velazquez-Villarreal
- Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA
- City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
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2
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Riner AN, Velazquez-Villarreal EI, Rajpara S, Qian J, Jin Y, Loza D, Akki A, Herremans KM, Raj R, Williams TM, Merchant N, George TJ, Hughes SJ, Stern MC, Reams R, Redda K, Wilkie DJ, Odedina FT, Chamala S, Han B, Agyare E, Craig DW, Carpten JD, Trevino JG. Somatic Genomic Profiling of Pancreatic Ductal Adenocarcinomas From a Diverse Cohort of Patients. Pancreas 2025; 54:e171-e178. [PMID: 39999309 DOI: 10.1097/mpa.0000000000002408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/27/2025]
Abstract
OBJECTIVES Black/African American (B/AA) pancreatic ductal adenocarcinoma (PDAC) patients have worse clinical outcomes than White patients and are underrepresented in genomic databases. We aimed to expand our understanding of the PDAC somatic landscape from a diverse cohort. MATERIALS AND METHODS Formalin-fixed paraffin-embedded specimens from 24 surgically resected PDAC cases were collected, with self-reported race/ethnicity. Whole exome sequencing was performed on malignant and benign tissue. Bioinformatics analysis included deduction of genetic ancestry and somatic mutational analysis, with comparisons to public datasets. RESULTS Out of 24 cases, 17 identified as B/AA race; genetic ancestry analysis confirmed proportions of Sub-Saharan African ancestry greater than 47%. The most commonly mutated genes included KRAS, TP53, SMAD4, and CDKN2A. Comparison of mutations in our cohort versus publicly available, predominantly White datasets showed higher mutation frequencies of ATM, RREB1, BRCA1/2, KDM6A, ARID1A, BRAF, and MYC (P < 0.04). When cohorts were combined and analyzed by race, no mutation frequencies differences were observed, including KRAS. CONCLUSIONS Genomic analysis of PDAC tumors from B/AA and White patients demonstrate similarities in mutation frequencies. Larger studies are needed to further understand molecular characterizations across continental subpopulations. This study provides further rationale for equitable representation of diverse patients in genomic databases and clinical trials.
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Affiliation(s)
- Andrea N Riner
- From the Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH
| | | | - Seeta Rajpara
- Department of Translational Genomics, University of Southern California, Los Angeles, CA
| | - Jing Qian
- Department of Translational Genomics, University of Southern California, Los Angeles, CA
| | - Yuxin Jin
- Department of Translational Genomics, University of Southern California, Los Angeles, CA
| | - Donna Loza
- Department of Translational Genomics, University of Southern California, Los Angeles, CA
| | - Ashwin Akki
- Department of Pathology, Cleveland Clinic, Cleveland, OH
| | - Kelly M Herremans
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL
| | - Rohit Raj
- Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH
| | | | - Nipun Merchant
- Department of Surgery, University of Miami Miller College of Medicine, Miami, FL
| | - Thomas J George
- Department of Medicine, University of Florida College of Medicine, Gainesville, FL
| | - Steven J Hughes
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL
| | - Mariana C Stern
- Department of Population and Public Health Sciences, University of Southern California, USC Norris Comprehensive Cancer Center, Keck School of Medicine of USC, Los Angeles, CA
| | - Renee Reams
- Florida A&M University, College of Pharmacy, Tallahassee, FL
| | - Ken Redda
- Florida A&M University, College of Pharmacy, Tallahassee, FL
| | - Diana J Wilkie
- Department of Behavioral Nursing Science, University of Florida College of Nursing, Gainesville, FL
| | - Folakemi T Odedina
- Mayo Clinic Comprehensive Cancer Center, Cancer Prevention, Survivorship and Care Delivery (CPSCD) Research Program, Jacksonville, FL
| | - Srikar Chamala
- University of Southern California Keck School of Medicine, Center for Pathology Informatics and Data Science, Los Angeles, CA
| | - Bo Han
- Department of Translational Genomics, University of Southern California, Los Angeles, CA
| | - Edward Agyare
- Florida A&M University, College of Pharmacy, Tallahassee, FL
| | - David W Craig
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | | | - Jose G Trevino
- Department of Surgery, Virginia Commonwealth University School of Medicine, Richmond, VA
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3
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Carranza FG, Waldrup B, Jin Y, Amzaleg Y, Postel M, Craig DW, Carpten JD, Salhia B, Hernandez D, Gutierrez N, Ricker CN, Culver JO, Chavez CE, Stern MC, Baezconde-Garbanati L, Lenz HJ, Velazquez-Villarreal E. Assessment of MYC Gene and WNT Pathway Alterations in Early-Onset Colorectal Cancer Among Hispanic/Latino Patients Using Integrated Multi-Omics Approaches. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2024.12.05.24318588. [PMID: 40034762 PMCID: PMC11875251 DOI: 10.1101/2024.12.05.24318588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 03/05/2025]
Abstract
Colorectal cancer (CRC) has increased at an alarming rate amongst younger (< 50 years) individuals. Such early-onset colorectal cancer (EOCRC) has been particularly notable within the Hispanic/Latino population. Yet, this population has not been sufficiently profiled in terms of two critical elements of CRC -- the MYC proto-oncogene and WNT signaling pathway. Here, we performed a comprehensive multi-omics analysis on 30 early-onset and 37 late-onset CRC (≥ 50 years) samples from Hispanic/Latino patients. Our analysis included DNA exome sequencing for somatic mutations, somatic copy number alterations, and global and local genetic similarity. Using RNA sequencing, we also assessed differential gene expression, cellular pathways, and gene fusions. We then compared our findings from early-onset Hispanic/Latino patient samples with publicly available data from Non-Hispanic White cohorts. Across all early-onset patients, which had a median 1000 Genomes Project Peruvian-in-Lima-like (1KG-PEL-like) genetic similarity proportion of 60%, we identified 41 WNT pathway genes with significant mutations. Six important examples were APC, TCF7L2, DKK1, DKK2, FZD10, and LRP5. Notably, patients with mutations in DKK1 and DKK2 had the highest 1KG-PEL-like proportion (79%). When we compared the Hispanic/Latino cohort to the Non-Hispanic White cohorts, four of these key genes -- DKK1, DKK2, FZD10, and LRP5 -- were significant in both risk association analyses and differential gene expression. Interestingly, early-onset tumors (vs. late-onset) exhibited distinct somatic copy number alterations and gene expression profiles; the differences included MYC and drug-targetable WNT pathway genes. We also identified a novel WNT gene fusion, RSPO3, in early-onset tumors; it was associated with enhanced WNT signaling. This integrative analysis underscores the distinct molecular features of EOCRC cancer in the Hispanic/Latino population; reveals potential avenues for tailored precision medicine therapies; and emphasizes the importance of multi-omics approaches in studying colorectal carcinogenesis. We expect this data to help contribute towards reducing cancer health disparities. Significance This study offers multi-omics profiling analysis of early-onset colorectal cancer (EOCRC) in an underserved community, explores the implications of MYC gene and WNT pathway alterations, and provides critical insights into cancer health disparities.
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Affiliation(s)
- F G Carranza
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
| | - B Waldrup
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
| | - Y Jin
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
| | - Y Amzaleg
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
| | - M Postel
- University of Southern California, Keck School of Medicine of USC, Department of Translational Genomics, Los Angeles, CA
| | - D W Craig
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | - J D Carpten
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | - B Salhia
- University of Southern California, Keck School of Medicine of USC, Department of Translational Genomics, Los Angeles, CA
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
| | - D Hernandez
- University of Southern California, Keck School of Medicine of USC, Division of Medical Oncology, Los Angeles, CA
| | - N Gutierrez
- University of Southern California, Keck School of Medicine of USC, Division of Medical Oncology, Los Angeles, CA
| | - C N Ricker
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
- University of Southern California, Keck School of Medicine of USC, Division of Medical Oncology, Los Angeles, CA
- Los Angeles General Medical Center, Los Angeles, CA
| | - J O Culver
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
- University of Southern California, Keck School of Medicine of USC, Division of Medical Oncology, Los Angeles, CA
| | - C E Chavez
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
| | - M C Stern
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
- University of Southern California, Keck School of Medicine of USC, Department of Population and Public Health Sciences, Los Angeles, CA
| | - L Baezconde-Garbanati
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
- University of Southern California, Keck School of Medicine of USC, Department of Population and Public Health Sciences, Los Angeles, CA
| | - H J Lenz
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
- University of Southern California, Keck School of Medicine of USC, Division of Medical Oncology, Los Angeles, CA
| | - E Velazquez-Villarreal
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
- City of Hope Comprehensive Cancer Center, Duarte, CA
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Merz L, Hartley-Brown M, Achebe M, Cole C, Kanapuru B, Banjo O, Mulligan G, Wozniak K, Young AQ, Cho HJ. Modernizing multiple myeloma clinical trial eligibility to improve equity and inclusivity by hematological parameters. Semin Hematol 2025; 62:38-42. [PMID: 39581818 DOI: 10.1053/j.seminhematol.2024.10.008] [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] [Received: 08/27/2024] [Revised: 10/09/2024] [Accepted: 10/22/2024] [Indexed: 11/26/2024]
Abstract
In the United States, Black people experience multiple myeloma (MM) at a frequency that is more than double that of White people and experience much higher rates of mortality. Despite bearing a disproportionate impact of both MM incidence and mortality, Black patients are significantly underrepresented in most MM clinical trials. This is in part because Black patients experience a higher prevalence of hemoglobinopathies and Duffy-null phenotype, which affect hemoglobin and neutrophil levels, respectively, potentially excluding patients from clinical trials. The Multiple Myeloma Research Foundation (MMRF) has convened a series of Health Equity Summits that include a focus on creating inclusive clinical trials for MM. The present paper, an output of the most recent workshop, focuses on the role of laboratory reference ranges as a barrier to clinical trial participation and offers tangible steps to improve the enrollment of a diverse and representative population.
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Affiliation(s)
- Lauren Merz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Division of Hematology/Oncology, Department of Medicine, Mass General Brigham, Boston, MA
| | | | - Maureen Achebe
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Division of Hematology, Brigham and Women's Hospital, Boston, MA
| | | | - Bindu Kanapuru
- Division of Hematologic Malignancies II, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Springs, MD USA
| | - Ola Banjo
- The Multiple Myeloma Research Foundation, Norwalk, CT
| | | | - Katie Wozniak
- The Multiple Myeloma Research Foundation, Norwalk, CT
| | | | - Hearn Jay Cho
- The Multiple Myeloma Research Foundation, Norwalk, CT; Multiple Myeloma Center of Excellence, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
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5
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Fiala MA, Ji M, Shih YH, Huber J, Wang M, Johnson KJ, Gasoyan H, Wang R, Colditz GA, Wang SY, Chang SH. Treatment Access among Younger Medicaid Beneficiaries with Multiple Myeloma. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2025; 25:109-115. [PMID: 39209567 DOI: 10.1016/j.clml.2024.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 07/15/2024] [Accepted: 07/26/2024] [Indexed: 09/04/2024]
Abstract
PURPOSE Continuous Medicaid coverage prior to a cancer diagnosis has been associated with earlier detection and better outcomes, for patients with solid tumors. In this study, we aimed to determine if this was observed among patients with multiple myeloma, a hematologic cancer where there are no routine screening tests and most are diagnosed through acute medical events. MATERIALS AND METHODS This is an analysis of the Merative MarketScan Multistate Medicaid Database, a claims-based dataset. In total, 1105 patients < 65 years old were included in the analyses. Among them, 66% had continuous enrollment (at least 6 months enrollment prior to myeloma), and 34% had discontinuous enrollment (2-6 months enrollment prior to myeloma). Multivariable Cox regression was used to estimate the association between continuous enrollment status and receipt of myeloma treatment within 1 year of index date. RESULTS Only 54% of all Medicaid enrollees received myeloma therapy and only 12% received stem cell transplant within the 1st year. Those with continuous enrollment were less likely to receive any treatment (adjusted hazard ratio [aHR] 0.59; 95% confidence interval [CI] 0.59-0.70; P < .001) and to receive stem cell transplant (aHR 0.51; 95% CI 0.32-0.81; P = .005). CONCLUSION Patients with continuous Medicaid coverage prior to diagnosis were less likely to receive myeloma therapy. Future studies should examine whether myeloma patients with continuous Medicaid enrollment have more chronic financial instability and/or higher medical needs and, thus, have higher barriers to care.
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Affiliation(s)
- Mark A Fiala
- Division of Oncology, Washington University School of Medicine, St Louis MO.
| | - Mengmeng Ji
- Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St Louis MO
| | - Yi-Hsuan Shih
- Department of Electrical & Systems Engineering, Washington University School of Medicine, St Louis MO
| | - John Huber
- Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St Louis MO
| | - Mei Wang
- Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St Louis MO
| | - Kimberly J Johnson
- Brown School of Social Work, Washington University School of Medicine, St Louis MO
| | - Hamlet Gasoyan
- Department of Internal Medicine and Geriatrics, Center for Value-Based Care Research, Primary Care Institute, Cleveland Clinic, Cleveland OH
| | - Rong Wang
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven CT
| | - Graham A Colditz
- Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St Louis MO
| | - Shi-Yi Wang
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven CT
| | - Su-Hsin Chang
- Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St Louis MO
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6
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Waldrup B, Carranza F, Jin Y, Amzaleg Y, Postel M, Craig DW, Carpten JD, Salhia B, Ricker CN, Culver JO, Chavez CE, Stern MC, Baezconde-Garbanati L, Lenz HJ, Velazquez-Villarreal EI. Integrative multi-omics profiling of colorectal cancer from a Hispanic/Latino cohort of patients. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.11.03.24316599. [PMID: 39606335 PMCID: PMC11601710 DOI: 10.1101/2024.11.03.24316599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
Colorectal cancer contributes to cancer-related deaths and health disparities in the Hispanic and Latino community. To probe both the biological and genetic bases of the disparities, we characterized features of colorectal cancer in terms of somatic alterations and genetic similarity. Specifically, we conducted a comprehensive genome-scale analysis of 67 Hispanic and Latino samples. We performed DNA exome sequencing for somatic mutations, somatic copy number alterations, and genetic similarity. We also performed RNA sequencing for differential gene expression, cellular pathways, and gene fusions. We analyzed all samples for 22 important CRC gene mutations, 8 gene amplifications, and 25 CRC gene fusions. Then, we compared our data from the Hispanic and Latino samples to publicly available, Non-Hispanic White (NHW) cohorts. According to our analyses, twenty-four percent of colorectal carcinomas were hypermutated when patients were of Peruvians-from-Lima-like (1KG-PEL-like) genetic similarity population from the 1000 genome project. Moreover, most of these cases occurred in patients who were less than fiay years old age at diagnosis. Excluding hypermutated tumors, approximately 55% of colon cancers and 58% of rectum cancers exhibited two similar features: 1) the paderns of genomic alterations; 2) percentage of 1KG-PEL-like. We analyzed all samples -- which had a median 1KG-PEL-like proportion of 55% -- for 22 important CRC gene mutations, 8 gene amplifications, and 25 CRC gene fusions. One notable example of a frequently observed gene mutation was SMAD4. Samples with SMAD4 alterations, which are known to support tumor growth and progression, had the highest 1KG-PEL-like proportion (63%). According to our results from risk association analyses and differential gene expression, SMAD4 alterations were significant when we compared Hispanic and Latino samples to NHW cohorts. Of the 8 drug-targetable amplifications, PIK3CA and PI3K exhibited an average 1KG-PEL-like of over 55%. Of the 25 relevant CRC gene fusions, targetable genes included ALK, FGFR1, RAF1, and PTPRK; PTPRK was observed in a sample with the highest 1KG-PEL-like proportion (95%). Using Integrative analysis, we also detected recurrent alterations in the WNT, TGFB, TP53, IGF2/PI3K, and RTK/RAS pathways. Importantly, these alterations mostly occurred in young patients with high 1KG-PEL-like. These findings highlight the potential for tailoring precision medicine therapeutics to an underrepresented population. Our study advances the molecular profiling of CRC in Hispanics and Latinos. In toto, genetic similarity appears to be an important component in understanding colorectal carcinogenesis and has the potential to advance cancer health disparities research.
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Affiliation(s)
- B Waldrup
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
| | - F Carranza
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
| | - Y Jin
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
| | - Y Amzaleg
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
| | - M Postel
- University of Southern California, Keck School of Medicine of USC, Department of Translational Genomics, Los Angeles, CA
| | - D W Craig
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | - J D Carpten
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | - B Salhia
- University of Southern California, Keck School of Medicine of USC, Department of Translational Genomics, Los Angeles, CA
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
| | - C N Ricker
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
- University of Southern California, Keck School of Medicine of USC, Division of Medical Oncology, Los Angeles, CA
| | - J O Culver
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
- University of Southern California, Keck School of Medicine of USC, Division of Medical Oncology, Los Angeles, CA
| | - C E Chavez
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
| | - M C Stern
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
- University of Southern California, Keck School of Medicine of USC, Department of Population and Public Health Sciences, Los Angeles, CA
| | - L Baezconde-Garbanati
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
- University of Southern California, Keck School of Medicine of USC, Department of Population and Public Health Sciences, Los Angeles, CA
| | - H J Lenz
- University of Southern California, USC Norris Comprehensive Cancer Center, Los Angeles, CA
- University of Southern California, Keck School of Medicine of USC, Division of Medical Oncology, Los Angeles, CA
| | - E I Velazquez-Villarreal
- City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA
- City of Hope Comprehensive Cancer Center, Duarte, CA
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7
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Went M, Duran-Lozano L, Halldorsson GH, Gunnell A, Ugidos-Damboriena N, Law P, Ekdahl L, Sud A, Thorleifsson G, Thodberg M, Olafsdottir T, Lamarca-Arrizabalaga A, Cafaro C, Niroula A, Ajore R, Lopez de Lapuente Portilla A, Ali Z, Pertesi M, Goldschmidt H, Stefansdottir L, Kristinsson SY, Stacey SN, Love TJ, Rognvaldsson S, Hajek R, Vodicka P, Pettersson-Kymmer U, Späth F, Schinke C, Van Rhee F, Sulem P, Ferkingstad E, Hjorleifsson Eldjarn G, Mellqvist UH, Jonsdottir I, Morgan G, Sonneveld P, Waage A, Weinhold N, Thomsen H, Försti A, Hansson M, Juul-Vangsted A, Thorsteinsdottir U, Hemminki K, Kaiser M, Rafnar T, Stefansson K, Houlston R, Nilsson B. Deciphering the genetics and mechanisms of predisposition to multiple myeloma. Nat Commun 2024; 15:6644. [PMID: 39103364 PMCID: PMC11300596 DOI: 10.1038/s41467-024-50932-7] [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: 01/03/2024] [Accepted: 07/24/2024] [Indexed: 08/07/2024] Open
Abstract
Multiple myeloma (MM) is an incurable malignancy of plasma cells. Epidemiological studies indicate a substantial heritable component, but the underlying mechanisms remain unclear. Here, in a genome-wide association study totaling 10,906 cases and 366,221 controls, we identify 35 MM risk loci, 12 of which are novel. Through functional fine-mapping and Mendelian randomization, we uncover two causal mechanisms for inherited MM risk: longer telomeres; and elevated levels of B-cell maturation antigen (BCMA) and interleukin-5 receptor alpha (IL5RA) in plasma. The largest increase in BCMA and IL5RA levels is mediated by the risk variant rs34562254-A at TNFRSF13B. While individuals with loss-of-function variants in TNFRSF13B develop B-cell immunodeficiency, rs34562254-A exerts a gain-of-function effect, increasing MM risk through amplified B-cell responses. Our results represent an analysis of genetic MM predisposition, highlighting causal mechanisms contributing to MM development.
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Affiliation(s)
- Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Laura Duran-Lozano
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | | | - Andrea Gunnell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Nerea Ugidos-Damboriena
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Philip Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Ludvig Ekdahl
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | | | - Malte Thodberg
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | | | - Antton Lamarca-Arrizabalaga
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Caterina Cafaro
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Abhishek Niroula
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Ram Ajore
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Aitzkoa Lopez de Lapuente Portilla
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Zain Ali
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Maroulio Pertesi
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, 69120, Heidelberg, Germany
| | | | - Sigurdur Y Kristinsson
- Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Simon N Stacey
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
| | - Thorvardur J Love
- Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Saemundur Rognvaldsson
- Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Roman Hajek
- University Hospital Ostrava and University of Ostrava, Ostrava, Czech Republic
| | - Pavel Vodicka
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | | | - Florentin Späth
- Department of Radiation Sciences, Umeå University, SE-901 87, Umeå, Sweden
| | - Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Frits Van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Patrick Sulem
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
| | | | | | | | | | - Gareth Morgan
- Perlmutter Cancer Center, Langone Health, New York University, New York, NY, USA
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | - Anders Waage
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Box 8905, N-7491, Trondheim, Norway
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, 69120, Heidelberg, Germany
- German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
| | | | - Asta Försti
- German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- Hopp Children's Cancer Center, Heidelberg, Germany
| | - Markus Hansson
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Section of Hematology, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
- Skåne University Hospital, SE-221 85, Lund, Sweden
| | - Annette Juul-Vangsted
- Department of Haematology, University Hospital of Copenhagen at Rigshospitalet, Blegdamsvej 9, DK-2100, Copenhagen, Denmark
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Kari Hemminki
- German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- Faculty of Medicine in Pilsen, Charles University, 30605, Pilsen, Czech Republic
| | - Martin Kaiser
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Thorunn Rafnar
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
| | - Björn Nilsson
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden.
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden.
- Broad Institute, 415 Main Street, Cambridge, MA, 02142, USA.
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8
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Hartley-Brown M, Cole CE, Price P, Andreini M, Mulligan G, Young AQ, Cho HJ. Creating Equitable and Inclusive Clinical Trials for Multiple Myeloma. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2024; 24:32-39. [PMID: 37783639 DOI: 10.1016/j.clml.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/07/2023] [Accepted: 09/11/2023] [Indexed: 10/04/2023]
Abstract
Black and Latino/Hispanic populations are disproportionately impacted by multiple myeloma (MM) in the United States and are underrepresented in many clinical trials. The Multiple Myeloma Research Foundation sponsored a 1-day workshop of 46 experts spanning the ecosystem of MM research and care, including government, academia, nonprofits, pharma/biotech, community partners, and retail pharmacy. Specific, tangible steps to overcome the well-documented barriers to improving the diversity and inclusivity of clinical trials were discussed, including broadening inclusion/exclusion criteria, reducing the financial and other burdens of trial participants, selecting diverse study sites, including implicit bias training, and taking steps to empower patients.
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Affiliation(s)
| | - Craig E Cole
- Michigan State University-Karmanos Cancer Institute, Lansing, MI
| | | | | | | | | | - Hearn Jay Cho
- Multiple Myeloma Research Foundation, Norwalk, CT; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
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9
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Levine AJ, Carpten JD, Murphy M, Hainaut P. Exploring the genetic and molecular basis of differences in multiple myeloma of individuals of African and European descent. Cell Death Differ 2024; 31:1-8. [PMID: 38001255 PMCID: PMC10781774 DOI: 10.1038/s41418-023-01236-8] [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: 08/02/2023] [Revised: 10/08/2023] [Accepted: 10/30/2023] [Indexed: 11/26/2023] Open
Abstract
Multiple Myeloma is a typical example of a neoplasm that shows significant differences in incidence, age of onset, type, and frequency of genetic alterations between patients of African and European ancestry. This perspective explores the hypothesis that both genetic polymorphisms and spontaneous somatic mutations in the TP53 tumor suppressor gene are determinants of these differences. In the US, the rates of occurrence of MM are at least twice as high in African Americans (AA) as in Caucasian Americans (CA). Strikingly, somatic TP53 mutations occur in large excess (at least 4-6-fold) in CA versus AA. On the other hand, TP53 contains polymorphisms specifying amino-acid differences that are under natural selection by the latitude of a population and have evolved during the migrations of humans over several hundred thousand years. The p53 protein plays important roles in DNA strand break repair and, therefore, in the surveillance of aberrant DNA recombination, leading to the B-cell translocations that are causal in the pathogenesis of MM. We posit that polymorphisms in one region of the TP53 gene (introns 2 and 3, and the proline-rich domain) specify a concentration of the p53 protein with a higher capacity to repress translocations in CA than AA patients. This, in turn, results in a higher risk of acquiring inactivating, somatic mutations in a different region of the TP53 gene (DNA binding domain) in CA than in AA patients. Such a mechanism, by which the polymorphic status of a gene influencing its own "spontaneous" mutation frequency, may provide a genetic basis to address ethnicity-related differences in the incidence and phenotypes of many different forms of cancer.
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Affiliation(s)
- Arnold J Levine
- Simons Center for Systems Biology, Institute for Advanced Study, Princeton, NJ, USA.
| | - John D Carpten
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | | | - Pierre Hainaut
- Institute for Advanced Biosciences, Université Grenoble Alpes, Grenoble, France
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10
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Bhutani M, Blue BJ, Cole C, Badros AZ, Usmani SZ, Nooka AK, Bernal-Mizrachi L, Mikhael J. Addressing the disparities: the approach to the African American patient with multiple myeloma. Blood Cancer J 2023; 13:189. [PMID: 38110338 PMCID: PMC10728116 DOI: 10.1038/s41408-023-00961-0] [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: 09/10/2023] [Revised: 11/29/2023] [Accepted: 12/01/2023] [Indexed: 12/20/2023] Open
Abstract
There are significant disparities with regards to incidence, timely diagnosis, access to treatment, clinical trial participation and health care utilization that negatively impact outcomes for African American patients with multiple myeloma. Health care providers have a role in ameliorating these disparities with thoughtful consideration of historical, sociocultural, individual and disease characteristics that influence the care provided to African American patient population. This review by a group of experts committed to health disparity in multiple myeloma provides a snapshot of disparities at both biologic and non-biologic levels, barriers to clinical care, and best practices to ensure that African American patients receive the best care available.
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Affiliation(s)
- Manisha Bhutani
- Department of Hematologic Oncology and Blood Disorders, Atrium Health Levine Cancer Institute/Wake Forest School of Medicine, Charlotte, NC, USA.
| | - Brandon J Blue
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Craig Cole
- Division of Hematology and Oncology, Michigan State University, College of Human Medicine/Karmanos Cancer Institute at McLaren Greater Lansing, Lansing, MI, USA
| | - Ashraf Z Badros
- Department of Medicine, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Saad Z Usmani
- Multiple Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ajay K Nooka
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Leon Bernal-Mizrachi
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Joseph Mikhael
- Translational Genomics Research Institute, City of Hope Cancer Center, Phoenix, AZ, USA
- International Myeloma Foundation, Studio City, CA, USA
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11
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Dufva O, Gandolfi S, Huuhtanen J, Dashevsky O, Duàn H, Saeed K, Klievink J, Nygren P, Bouhlal J, Lahtela J, Näätänen A, Ghimire BR, Hannunen T, Ellonen P, Lähteenmäki H, Rumm P, Theodoropoulos J, Laajala E, Härkönen J, Pölönen P, Heinäniemi M, Hollmén M, Yamano S, Shirasaki R, Barbie DA, Roth JA, Romee R, Sheffer M, Lähdesmäki H, Lee DA, De Matos Simoes R, Kankainen M, Mitsiades CS, Mustjoki S. Single-cell functional genomics reveals determinants of sensitivity and resistance to natural killer cells in blood cancers. Immunity 2023; 56:2816-2835.e13. [PMID: 38091953 DOI: 10.1016/j.immuni.2023.11.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 06/19/2023] [Accepted: 11/13/2023] [Indexed: 12/18/2023]
Abstract
Cancer cells can evade natural killer (NK) cell activity, thereby limiting anti-tumor immunity. To reveal genetic determinants of susceptibility to NK cell activity, we examined interacting NK cells and blood cancer cells using single-cell and genome-scale functional genomics screens. Interaction of NK and cancer cells induced distinct activation and type I interferon (IFN) states in both cell types depending on the cancer cell lineage and molecular phenotype, ranging from more sensitive myeloid to less sensitive B-lymphoid cancers. CRISPR screens in cancer cells uncovered genes regulating sensitivity and resistance to NK cell-mediated killing, including adhesion-related glycoproteins, protein fucosylation genes, and transcriptional regulators, in addition to confirming the importance of antigen presentation and death receptor signaling pathways. CRISPR screens with a single-cell transcriptomic readout provided insight into underlying mechanisms, including regulation of IFN-γ signaling in cancer cells and NK cell activation states. Our findings highlight the diversity of mechanisms influencing NK cell susceptibility across different cancers and provide a resource for NK cell-based therapies.
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Affiliation(s)
- Olli Dufva
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00290 Helsinki, Finland
| | - Sara Gandolfi
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00290 Helsinki, Finland; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jani Huuhtanen
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00290 Helsinki, Finland; Department of Computer Science, Aalto University, 02150 Espoo, Finland
| | - Olga Dashevsky
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02215, USA; Ludwig Center, Harvard Medical School, Boston, MA 02215, USA
| | - Hanna Duàn
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00290 Helsinki, Finland
| | - Khalid Saeed
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland
| | - Jay Klievink
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00290 Helsinki, Finland
| | - Petra Nygren
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00290 Helsinki, Finland
| | - Jonas Bouhlal
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00290 Helsinki, Finland
| | - Jenni Lahtela
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014 Helsinki, Finland
| | - Anna Näätänen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014 Helsinki, Finland
| | - Bishwa R Ghimire
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014 Helsinki, Finland
| | - Tiina Hannunen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014 Helsinki, Finland
| | - Pekka Ellonen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014 Helsinki, Finland
| | - Hanna Lähteenmäki
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland
| | - Pauliina Rumm
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland
| | - Jason Theodoropoulos
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland
| | - Essi Laajala
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00290 Helsinki, Finland
| | - Jouni Härkönen
- Faculty of Health Sciences, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70211 Kuopio, Finland
| | - Petri Pölönen
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Merja Heinäniemi
- Faculty of Health Sciences, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70211 Kuopio, Finland
| | - Maija Hollmén
- Medicity Research Laboratory, University of Turku, 20014 Turku, Finland
| | - Shizuka Yamano
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02215, USA; Ludwig Center, Harvard Medical School, Boston, MA 02215, USA
| | - Ryosuke Shirasaki
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02215, USA; Ludwig Center, Harvard Medical School, Boston, MA 02215, USA
| | - David A Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02215, USA; Ludwig Center, Harvard Medical School, Boston, MA 02215, USA
| | - Jennifer A Roth
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Rizwan Romee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Department of Medicine, Harvard Medical School, Boston, MA 02215, USA; Ludwig Center, Harvard Medical School, Boston, MA 02215, USA
| | - Michal Sheffer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02215, USA; Ludwig Center, Harvard Medical School, Boston, MA 02215, USA
| | - Harri Lähdesmäki
- Department of Computer Science, Aalto University, 02150 Espoo, Finland
| | - Dean A Lee
- Hematology/Oncology/BMT, Center for Childhood Cancer and Blood Diseases, Nationwide Children's Hospital, Columbus, OH 43205, USA
| | - Ricardo De Matos Simoes
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02215, USA; Ludwig Center, Harvard Medical School, Boston, MA 02215, USA
| | - Matti Kankainen
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00290 Helsinki, Finland; Laboratory of Genetics, HUS Diagnostic Center, Hospital District of Helsinki and Uusima (HUS), 00290 Helsinki, Finland
| | - Constantine S Mitsiades
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02215, USA; Ludwig Center, Harvard Medical School, Boston, MA 02215, USA.
| | - Satu Mustjoki
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00290 Helsinki, Finland.
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12
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Dally N, Baranes M, Akria L, Kashlikov M, Tarabia K, Sharabi-Nov A, Suriu C, Braester A. Ethnic disparities in presentation but not outcome in multiple myeloma patients: a multicenter retrospective study in Northern Israel. Leuk Lymphoma 2023; 64:2148-2155. [PMID: 37715316 DOI: 10.1080/10428194.2023.2251072] [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] [Received: 03/13/2023] [Accepted: 08/18/2023] [Indexed: 09/17/2023]
Abstract
Several studies showed ethnic disparities in multiple myeloma (MM) incidence and prognosis. In order to compare prognosis and overall survival between different ethnic groups, a multicenter retrospective study was conducted in Northern Israel. A total of 145 patients suffering from MM were included (72% Jewish, and 28% Arabs) who were treated between 2008-2018. A difference was found in the stage of the disease at the time of diagnosis, patients of Arab origin were diagnosed at a more advanced stage (III), (53.7% vs. 33.7%, respectively). A mortality rate of 48.9% was found in the study, regardless of population ethnic origin. No significant differences in rates of MGUS, MM symptoms, treatments, or progression-free survival (PFS) and overall survival (OS) were observed between ethnic groups. This suggests that raising awareness of MM may result in an earlier diagnosis, especially among patients of Arab origin, preventing unnecessary suffering from these patients.
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Affiliation(s)
- Najib Dally
- Hematology Institute Ziv Medical Center, Safed, Israel
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Myriam Baranes
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Luiza Akria
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
- Hematology Institute the Galilee Medical Center, Naharia, Israel
| | | | | | - Adi Sharabi-Nov
- Hematology Institute Ziv Medical Center, Safed, Israel
- Tel-Hai Academic College, Kiryat Shmona, Israel
| | - Celia Suriu
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
- Hematology Institute the Galilee Medical Center, Naharia, Israel
| | - Andrei Braester
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
- Hematology Institute the Galilee Medical Center, Naharia, Israel
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13
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Cerchione C, Grant SJ, Ailawadhi S. Partnering With All Patients: Ensuring Shared Decision Making and Evidence-Based Management for Underrepresented Groups With Multiple Myeloma. Am Soc Clin Oncol Educ Book 2023; 43:e390202. [PMID: 37167570 PMCID: PMC10798363 DOI: 10.1200/edbk_390202] [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] [Indexed: 05/13/2023]
Abstract
Several landmark therapeutic advances in multiple myeloma (MM) have led to an unprecedented number of options available to patients and their physicians as shared decision making is attempted. A myriad of factors need to be considered to ensure that patient-, disease-, and treatment-related factors are addressed to arrive at the most appropriate choice for patients at that time in their journey with myeloma. Some of these factors have traditionally remained underaddressed but have a clear association with patient outcomes, leading to underrepresented groups of patients with MM, including the elderly patients, racial-ethnic minorities, and those with specific advanced comorbidities, for example, renal insufficiency. Some of these factors may not be modifiable, but data suggest that they may give rise to implicit or explicit bias and affect treatment decisions. A growing body of literature is bringing these factors to light. However, their incorporation in day-to-day decision making for patients needs to be universal. It is imperative that prospective data are generated for all these and other underrepresented groups such that evidence-based medicine is applicable universally to all patients with MM, irrespective of clinical and sociodemographic factors.
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Affiliation(s)
- Claudio Cerchione
- Hematology Unit, Istituto Romagnolo per lo Studio dei
Tumori, Meldola, Italy
| | - Shakira J. Grant
- Department of Medicine, Division of Hematology, University
of North Carolina, Chapel Hill, NC
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14
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Griffin R, Hanson HA, Avery BJ, Madsen MJ, Sborov DW, Camp NJ. Deep Transcriptome Profiling of Multiple Myeloma Using Quantitative Phenotypes. Cancer Epidemiol Biomarkers Prev 2023; 32:708-717. [PMID: 36857768 PMCID: PMC10150248 DOI: 10.1158/1055-9965.epi-22-0798] [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: 07/18/2022] [Revised: 09/27/2022] [Accepted: 02/24/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND Transcriptome studies are gaining momentum in genomic epidemiology, and the need to incorporate these data in multivariable models alongside other risk factors brings demands for new approaches. METHODS Here we describe SPECTRA, an approach to derive quantitative variables that capture the intrinsic variation in gene expression of a tissue type. We applied the SPECTRA approach to bulk RNA sequencing from malignant cells (CD138+) in patients from the Multiple Myeloma Research Foundation CoMMpass study. RESULTS A set of 39 spectra variables were derived to represent multiple myeloma cells. We used these variables in predictive modeling to determine spectra-based risk scores for overall survival, progression-free survival, and time to treatment failure. Risk scores added predictive value beyond known clinical and expression risk factors and replicated in an external dataset. Spectrum variable S5, a significant predictor for all three outcomes, showed pre-ranked gene set enrichment for the unfolded protein response, a mechanism targeted by proteasome inhibitors which are a common first line agent in multiple myeloma treatment. We further used the 39 spectra variables in descriptive modeling, with significant associations found with tumor cytogenetics, race, gender, and age at diagnosis; factors known to influence multiple myeloma incidence or progression. CONCLUSIONS Quantitative variables from the SPECTRA approach can predict clinical outcomes in multiple myeloma and provide a new avenue for insight into tumor differences by demographic groups. IMPACT The SPECTRA approach provides a set of quantitative phenotypes that deeply profile a tissue and allows for more comprehensive modeling of gene expression with other risk factors.
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Affiliation(s)
- Rosalie Griffin
- Huntsman Cancer Institute and School of Medicine, University of Utah, Salt Lake City, Utah
- Computational Biology, Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Heidi A. Hanson
- Huntsman Cancer Institute and School of Medicine, University of Utah, Salt Lake City, Utah
| | - Brian J. Avery
- Huntsman Cancer Institute and School of Medicine, University of Utah, Salt Lake City, Utah
| | - Michael J. Madsen
- Huntsman Cancer Institute and School of Medicine, University of Utah, Salt Lake City, Utah
| | - Douglas W. Sborov
- Huntsman Cancer Institute and School of Medicine, University of Utah, Salt Lake City, Utah
| | - Nicola J. Camp
- Huntsman Cancer Institute and School of Medicine, University of Utah, Salt Lake City, Utah
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15
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Manojlovic Z, Wlodarczyk J, Okitsu C, Jin Y, Van Den Berg D, Lieber MR, Hsieh CL. Construction of high coverage whole-genome sequencing libraries from single colon crypts without DNA extraction or whole-genome amplification. BMC Res Notes 2023; 16:66. [PMID: 37106434 PMCID: PMC10142246 DOI: 10.1186/s13104-023-06333-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 04/12/2023] [Indexed: 04/29/2023] Open
Abstract
OBJECTIVE Comprehensive and reliable genome-wide variant analysis of a small number of cells has been challenging due to genome coverage bias, PCR over-cycling, and the requirement of expensive technologies. To comprehensively identify genome alterations in single colon crypts that reflect genome heterogeneity of stem cells, we developed a method to construct whole-genome sequencing libraries from single colon crypts without DNA extraction, whole-genome amplification, or increased PCR enrichment cycles. RESULTS We present post-alignment statistics of 81 single-crypts (each contains four- to eight-fold less DNA than the requirement of conventional methods) and 16 bulk-tissue libraries to demonstrate the consistent success in obtaining reliable coverage, both in depth (≥ 30X) and breadth (≥ 92% of the genome covered at ≥ 10X depth), of the human genome. These single-crypt libraries are of comparable quality as libraries generated with the conventional method using high quality and quantities of purified DNA. Conceivably, our method can be applied to small biopsy samples from many tissues and can be combined with single cell targeted sequencing to comprehensively profile cancer genomes and their evolution. The broad potential application of this method offers expanded possibilities in cost-effectively examining genome heterogeneity in small numbers of cells at high resolution.
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Affiliation(s)
- Zarko Manojlovic
- Department of Urology, University of Southern California, 1441 Eastlake Ave., NTT5420, Los Angeles, CA, USA
| | - Jordan Wlodarczyk
- Department of Surgery, University of Southern California, Los Angeles, CA, USA
| | - Cindy Okitsu
- Department of Pathology, University of Southern California, Los Angeles, CA, USA
| | - Yuxin Jin
- Department of Translational Genomics, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - David Van Den Berg
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Michael R Lieber
- Department of Pathology, University of Southern California, Los Angeles, CA, USA
| | - Chih-Lin Hsieh
- Department of Urology, University of Southern California, 1441 Eastlake Ave., NTT5420, Los Angeles, CA, USA.
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16
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Bhutani M, Lonial S, Mikhael J. Disparities in multiple myeloma among African Americans. J Natl Med Assoc 2022; 115:S26-S31. [PMID: 36566137 DOI: 10.1016/j.jnma.2022.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/05/2022] [Indexed: 12/24/2022]
Affiliation(s)
| | - Sagar Lonial
- Translational Genomics Research Institute, Phoenix, AZ 85004
| | - Joseph Mikhael
- Winship Cancer Institute, Emory University, Atlanta, GA.
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17
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Molecular Crosstalk between Chromatin Remodeling and Tumor Microenvironment in Multiple Myeloma. Curr Oncol 2022; 29:9535-9549. [PMID: 36547163 PMCID: PMC9777166 DOI: 10.3390/curroncol29120749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/28/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
Multiple myeloma (MM) is a complex disease driven by numerous genetic and epigenetic alterations that are acquired over time. Despite recent progress in the understanding of MM pathobiology and the availability of innovative drugs, which have pronounced clinical outcome, this malignancy eventually progresses to a drug-resistant lethal stage and, thus, novel therapeutic drugs/models always play an important role in effective management of MM. Modulation of tumor microenvironment is one of the hallmarks of cancer biology, including MM, which affects the myeloma genomic architecture and disease progression subtly through chromatin modifications. The bone marrow niche has a prime role in progression, survival, and drug resistance of multiple myeloma cells. Therefore, it is important to develop means for targeting the ecosystem between multiple myeloma bone marrow microenvironment and chromatin remodeling. Extensive gene expression profile analysis has indeed provided the framework for new risk stratification of MM patients and identifying novel molecular targets and therapeutics. However, key tumor microenvironment factors/immune cells and their interactions with chromatin remodeling complex proteins that drive MM cell growth and progression remain grossly undefined.
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18
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Asher S, Kazantzi A, Dekaj F, Steventon L, Khatun A, Ainley L, McMillan A, Rabin N, Wechalekar A, Sive J, Kyriakou C, Papanikolaou X, Xu K, Mahmood S, Wisniowski B, Lee L, Yong K, Popat R. Under-representation of ethnic minorities in early phase clinical trials for multiple myeloma. Haematologica 2022; 107:2961-2965. [PMID: 36005557 PMCID: PMC9713550 DOI: 10.3324/haematol.2022.281322] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/17/2022] [Indexed: 12/14/2022] Open
Affiliation(s)
- Samir Asher
- National Institute for Health Research Clinical Research Facility, University College London Hospitals NHS Trust, London
| | - Aikaterini Kazantzi
- National Institute for Health Research Clinical Research Facility, University College London Hospitals NHS Trust, London
| | - Fatjon Dekaj
- National Institute for Health Research Clinical Research Facility, University College London Hospitals NHS Trust, London
| | - Luke Steventon
- Cancer Clinical Trials Unit, University College London Hospitals NHS Trust, London
| | - Aisha Khatun
- Cancer Clinical Trials Unit, University College London Hospitals NHS Trust, London
| | - Louise Ainley
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Annabel McMillan
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Neil Rabin
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Ashu Wechalekar
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Jonathan Sive
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Charalampia Kyriakou
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Xenofon Papanikolaou
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Ke Xu
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Shameem Mahmood
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Brendan Wisniowski
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Lydia Lee
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Kwee Yong
- Department of Haematology, University College London Hospitals NHS Trust, London
| | - Rakesh Popat
- National Institute for Health Research Clinical Research Facility, University College London Hospitals NHS Trust, London, United Kingdom; Department of Haematology, University College London Hospitals NHS Trust, London.
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19
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Oncogenic RAS commandeers amino acid sensing machinery to aberrantly activate mTORC1 in multiple myeloma. Nat Commun 2022; 13:5469. [PMID: 36115844 PMCID: PMC9482638 DOI: 10.1038/s41467-022-33142-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 09/01/2022] [Indexed: 11/23/2022] Open
Abstract
Oncogenic RAS mutations are common in multiple myeloma (MM), an incurable malignancy of plasma cells. However, the mechanisms of pathogenic RAS signaling in this disease remain enigmatic and difficult to inhibit therapeutically. We employ an unbiased proteogenomic approach to dissect RAS signaling in MM. We discover that mutant isoforms of RAS organize a signaling complex with the amino acid transporter, SLC3A2, and MTOR on endolysosomes, which directly activates mTORC1 by co-opting amino acid sensing pathways. MM tumors with high expression of mTORC1-dependent genes are more aggressive and enriched in RAS mutations, and we detect interactions between RAS and MTOR in MM patient tumors harboring mutant RAS isoforms. Inhibition of RAS-dependent mTORC1 activity synergizes with MEK and ERK inhibitors to quench pathogenic RAS signaling in MM cells. This study redefines the RAS pathway in MM and provides a mechanistic and rational basis to target this mode of RAS signaling. RAS mutations are commonly found in multiple myeloma (MM). Here, the authors show that oncogenic RAS mutations activate mTORC1 signalling in MM and combining mTORC1 and MEK/ERK inhibitors synergize to improve survival in preclinical models.
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20
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Rae W, Sowerby JM, Verhoeven D, Youssef M, Kotagiri P, Savinykh N, Coomber EL, Boneparth A, Chan A, Gong C, Jansen MH, du Long R, Santilli G, Simeoni I, Stephens J, Wu K, Zinicola M, Allen HL, Baxendale H, Kumararatne D, Gkrania-Klotsas E, Scheffler Mendoza SC, Yamazaki-Nakashimada MA, Ruiz LB, Rojas-Maruri CM, Lugo Reyes SO, Lyons PA, Williams AP, Hodson DJ, Bishop GA, Thrasher AJ, Thomas DC, Murphy MP, Vyse TJ, Milner JD, Kuijpers TW, Smith KGC. Immunodeficiency, autoimmunity, and increased risk of B cell malignancy in humans with TRAF3 mutations. Sci Immunol 2022; 7:eabn3800. [PMID: 35960817 DOI: 10.1126/sciimmunol.abn3800] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Tumor necrosis factor receptor-associated factor 3 (TRAF3) is a central regulator of immunity. TRAF3 is often somatically mutated in B cell malignancies, but its role in human immunity is not defined. Here, in five unrelated families, we describe an immune dysregulation syndrome of recurrent bacterial infections, autoimmunity, systemic inflammation, B cell lymphoproliferation, and hypergammaglobulinemia. Affected individuals each had monoallelic mutations in TRAF3 that reduced TRAF3 expression. Immunophenotyping showed that patients' B cells were dysregulated, exhibiting increased nuclear factor-κB 2 activation, elevated mitochondrial respiration, and heightened inflammatory responses. Patients had mild CD4+ T cell lymphopenia, with a reduced proportion of naïve T cells but increased regulatory T cells and circulating T follicular helper cells. Guided by this clinical phenotype, targeted analyses demonstrated that common genetic variants, which also reduce TRAF3 expression, are associated with an increased risk of B cell malignancies, systemic lupus erythematosus, higher immunoglobulin levels, and bacterial infections in the wider population. Reduced TRAF3 conveys disease risks by driving B cell hyperactivity via intrinsic activation of multiple intracellular proinflammatory pathways and increased mitochondrial respiration, with a likely contribution from dysregulated T cell help. Thus, we define monogenic TRAF3 haploinsufficiency syndrome and demonstrate how common TRAF3 variants affect a range of human diseases.
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Affiliation(s)
- William Rae
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - John M Sowerby
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Dorit Verhoeven
- Emma Children's Hospital, Amsterdam University Medical Center (AUMC), University of Amsterdam, Department of Pediatric Immunology, Rheumatology and Infectious Diseases, Amsterdam, Netherlands
- Amsterdam University Medical Center (AUMC), University of Amsterdam, Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam, Netherlands
| | - Mariam Youssef
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Prasanti Kotagiri
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Natalia Savinykh
- NIHR Cambridge BRC Cell Phenotyping Hub, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Eve L Coomber
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Alexis Boneparth
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Angela Chan
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Chun Gong
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Machiel H Jansen
- Emma Children's Hospital, Amsterdam University Medical Center (AUMC), University of Amsterdam, Department of Pediatric Immunology, Rheumatology and Infectious Diseases, Amsterdam, Netherlands
- Amsterdam University Medical Center (AUMC), University of Amsterdam, Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam, Netherlands
| | - Romy du Long
- Amsterdam University Center (AUMC), University of Amsterdam, Department of Pathology, Amsterdam, Netherlands
| | | | - Ilenia Simeoni
- Department of Hematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR Bioresource-Rare Diseases, Cambridge University Hospitals, Cambridge Biomedical Campus, Cambridge, UK
| | - Jonathan Stephens
- Department of Hematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR Bioresource-Rare Diseases, Cambridge University Hospitals, Cambridge Biomedical Campus, Cambridge, UK
| | - Kejia Wu
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Marta Zinicola
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Hana Lango Allen
- NIHR Bioresource-Rare Diseases, Cambridge University Hospitals, Cambridge Biomedical Campus, Cambridge, UK
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Helen Baxendale
- Cambridge Centre for Lung Infection, Royal Papworth Hospital, Cambridge, UK
| | - Dinakantha Kumararatne
- Department of Clinical Biochemistry and Immunology, Addenbrooke's Hospital, Cambridge, UK
| | - Effrossyni Gkrania-Klotsas
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Department of Infectious Diseases, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
| | - Selma C Scheffler Mendoza
- Clinical Immunology Service, National Institute of Pediatrics, Secretariat of Health, Mexico City, Mexico
| | | | - Laura Berrón Ruiz
- Immune Deficiencies Laboratory, National Institute of Pediatrics, Secretariat of Health, Mexico City, Mexico
| | | | - Saul O Lugo Reyes
- Immune Deficiencies Laboratory, National Institute of Pediatrics, Secretariat of Health, Mexico City, Mexico
| | - Paul A Lyons
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Anthony P Williams
- Wessex Investigational Sciences Hub, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Daniel J Hodson
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Gail A Bishop
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA, USA
- Department of Internal Medicine, University of Iowa, IA, USA
- Veterans Affairs Medical Center, Iowa City, IA, USA
| | - Adrian J Thrasher
- UCL Great Ormond Street Institute of Child Health, London, UK
- Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
| | - David C Thomas
- Department of Immunology and Inflammation, Center for Inflammatory Diseases, Imperial College London, London, UK
| | - Michael P Murphy
- Department of Medicine, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK
| | - Timothy J Vyse
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Joshua D Milner
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Taco W Kuijpers
- Emma Children's Hospital, Amsterdam University Medical Center (AUMC), University of Amsterdam, Department of Pediatric Immunology, Rheumatology and Infectious Diseases, Amsterdam, Netherlands
- Amsterdam University Medical Center (AUMC), University of Amsterdam, Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam, Netherlands
| | - Kenneth G C Smith
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge, UK
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21
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Hercules SM, Liu X, Bassey-Archibong BBI, Skeete DHA, Smith Connell S, Daramola A, Banjo AA, Ebughe G, Agan T, Ekanem IO, Udosen J, Obiorah C, Ojule AC, Misauno MA, Dauda AM, Egbujo EC, Hercules JC, Ansari A, Brain I, MacColl C, Xu Y, Jin Y, Chang S, Carpten JD, Bédard A, Pond GR, Blenman KRM, Manojlovic Z, Daniel JM. Analysis of the genomic landscapes of Barbadian and Nigerian women with triple negative breast cancer. Cancer Causes Control 2022; 33:831-841. [PMID: 35384527 PMCID: PMC9085672 DOI: 10.1007/s10552-022-01574-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 03/12/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE Triple negative breast cancer (TNBC) is an aggressive breast cancer subtype that disproportionately affects women of African ancestry (WAA) and is often associated with poor survival. Although there is a high prevalence of TNBC across West Africa and in women of the African diaspora, there has been no comprehensive genomics study to investigate the mutational profile of ancestrally related women across the Caribbean and West Africa. METHODS This multisite cross-sectional study used 31 formalin-fixed paraffin-embedded (FFPE) samples from Barbadian and Nigerian TNBC participants. High-resolution whole exome sequencing (WES) was performed on the Barbadian and Nigerian TNBC samples to identify their mutational profiles and comparisons were made to African American, European American and Asian American sequencing data obtained from The Cancer Genome Atlas (TCGA). Whole exome sequencing was conducted on tumors with an average of 382 × coverage and 4335 × coverage for pooled germline non-tumor samples. RESULTS Variants detected at high frequency in our WAA cohorts were found in the following genes NBPF12, PLIN4, TP53 and BRCA1. In the TCGA TNBC cases, these genes had a lower mutation rate, except for TP53 (32% in our cohort; 63% in TCGA-African American; 67% in TCGA-European American; 63% in TCGA-Asian). For all altered genes, there were no differences in frequency of mutations between WAA TNBC groups including the TCGA-African American cohort. For copy number variants, high frequency alterations were observed in PIK3CA, TP53, FGFR2 and HIF1AN genes. CONCLUSION This study provides novel insights into the underlying genomic alterations in WAA TNBC samples and shines light on the importance of inclusion of under-represented populations in cancer genomics and biomarker studies.
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Affiliation(s)
- Shawn M. Hercules
- grid.25073.330000 0004 1936 8227Department of Biology, McMaster University, Hamilton, ON Canada
- African Caribbean Cancer Consortium, Philadelphia, PA USA
| | - Xiyu Liu
- grid.42505.360000 0001 2156 6853Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | | | - Desiree H. A. Skeete
- African Caribbean Cancer Consortium, Philadelphia, PA USA
- grid.412886.10000 0004 0592 769XFaculty of Medical Sciences, University of the West Indies at Cave Hill, Bridgetown, Barbados
- grid.415521.60000 0004 0570 5165Department of Pathology, Queen Elizabeth Hospital, Bridgetown, Barbados
| | - Suzanne Smith Connell
- grid.412886.10000 0004 0592 769XFaculty of Medical Sciences, University of the West Indies at Cave Hill, Bridgetown, Barbados
- grid.415521.60000 0004 0570 5165Department of Radiation Oncology, Queen Elizabeth Hospital, Bridgetown, Barbados
- Present Address: Cancer Specialists Inc, Bridgetown, Barbados
| | - Adetola Daramola
- grid.411283.d0000 0000 8668 7085Department of Anatomic and Molecular Pathology, Lagos University Teaching Hospital, Lagos, Nigeria
| | - Adekunbiola A. Banjo
- grid.411283.d0000 0000 8668 7085Department of Anatomic and Molecular Pathology, Lagos University Teaching Hospital, Lagos, Nigeria
| | - Godwin Ebughe
- grid.413097.80000 0001 0291 6387Department of Pathology, University of Calabar Teaching Hospital, Calabar, Nigeria
| | - Thomas Agan
- grid.413097.80000 0001 0291 6387Department of Obstetrics & Gynaecology, College of Medical Sciences, University of Calabar Teaching Hospital, Calabar, Nigeria
| | - Ima-Obong Ekanem
- grid.413097.80000 0001 0291 6387Department of Pathology, College of Medical Sciences, University of Calabar Teaching Hospital, Calabar, Nigeria
| | - Joe Udosen
- grid.413097.80000 0001 0291 6387Division of General and Breast Surgery, University of Calabar Teaching Hospital, Calabar, Nigeria
| | - Christopher Obiorah
- grid.412738.bDepartment of Anatomical Pathology, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria
| | - Aaron C. Ojule
- grid.412738.bDepartment of Chemical Pathology, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria
| | - Michael A. Misauno
- grid.411946.f0000 0004 1783 4052Department of Surgery, Jos University Teaching Hospital, Jos, Nigeria
| | - Ayuba M. Dauda
- grid.411946.f0000 0004 1783 4052Department of Pathology, Jos University Teaching Hospital, Jos, Nigeria
| | | | - Jevon C. Hercules
- grid.12916.3d0000 0001 2322 4996Department of Mathematics, University of the West Indies at Mona, Kingston, Jamaica
- grid.12955.3a0000 0001 2264 7233Present Address: Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, China
| | - Amna Ansari
- grid.25073.330000 0004 1936 8227Department of Biology, McMaster University, Hamilton, ON Canada
| | - Ian Brain
- grid.25073.330000 0004 1936 8227Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON Canada
| | - Christine MacColl
- grid.25073.330000 0004 1936 8227Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON Canada
| | - Yili Xu
- grid.42505.360000 0001 2156 6853Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Yuxin Jin
- grid.42505.360000 0001 2156 6853Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Sharon Chang
- grid.42505.360000 0001 2156 6853Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - John D. Carpten
- grid.42505.360000 0001 2156 6853Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - André Bédard
- grid.25073.330000 0004 1936 8227Department of Biology, McMaster University, Hamilton, ON Canada
| | - Greg R. Pond
- grid.25073.330000 0004 1936 8227Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON Canada
- grid.25073.330000 0004 1936 8227Department of Oncology, McMaster University, Hamilton, ON Canada
| | - Kim R. M. Blenman
- grid.433818.5Department of Internal Medicine, Section of Medical Oncology, Yale Cancer Center, School of Medicine, New Haven, CT USA
- grid.47100.320000000419368710Department of Computer Science, School of Engineering and Applied Science, Yale University, New Haven, CT USA
| | - Zarko Manojlovic
- grid.42505.360000 0001 2156 6853Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Juliet M. Daniel
- grid.25073.330000 0004 1936 8227Department of Biology, McMaster University, Hamilton, ON Canada
- African Caribbean Cancer Consortium, Philadelphia, PA USA
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22
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Ashby C, Boyle EM, Bauer MA, Mikulasova A, Wardell CP, Williams L, Siegel A, Blaney P, Braunstein M, Kaminetsky D, Keats J, Maura F, Landgren O, Walker BA, Davies FE, Morgan GJ. Structural variants shape the genomic landscape and clinical outcome of multiple myeloma. Blood Cancer J 2022; 12:85. [PMID: 35637217 PMCID: PMC9151656 DOI: 10.1038/s41408-022-00673-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 03/11/2022] [Accepted: 04/22/2022] [Indexed: 11/09/2022] Open
Abstract
Deciphering genomic architecture is key to identifying novel disease drivers and understanding the mechanisms underlying myeloma initiation and progression. In this work, using the CoMMpass dataset, we show that structural variants (SV) occur in a nonrandom fashion throughout the genome with an increased frequency in the t(4;14), RB1, or TP53 mutated cases and reduced frequency in t(11;14) cases. By mapping sites of chromosomal rearrangements to topologically associated domains and identifying significantly upregulated genes by RNAseq we identify both predicted and novel putative driver genes. These data highlight the heterogeneity of transcriptional dysregulation occurring as a consequence of both the canonical and novel structural variants. Further, it shows that the complex rearrangements chromoplexy, chromothripsis and templated insertions are common in MM with each variant having its own distinct frequency and impact on clinical outcome. Chromothripsis is associated with a significant independent negative impact on clinical outcome in newly diagnosed cases consistent with its use alongside other clinical and genetic risk factors to identify prognosis.
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Affiliation(s)
- Cody Ashby
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Eileen M Boyle
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
| | - Michael A Bauer
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Aneta Mikulasova
- Institute of Cellular Medicine, University of Newcastle upon Tyne, Newcastle, UK
| | - Christopher P Wardell
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Louis Williams
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Ariel Siegel
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Patrick Blaney
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Marc Braunstein
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | | | - Jonathan Keats
- Integrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, USA
| | | | - Ola Landgren
- Sylvester Cancer Center University of Miami, Miami, FL, USA
| | - Brian A Walker
- Division of Hematology Oncology Indiana University, Indianapolis, IN, USA
| | - Faith E Davies
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Gareth J Morgan
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
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23
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Racial and ethnic differences in clonal hematopoiesis, tumor markers, and outcomes of patients with multiple myeloma. Blood Adv 2022; 6:3767-3778. [PMID: 35500227 PMCID: PMC9631567 DOI: 10.1182/bloodadvances.2021006652] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 04/07/2022] [Indexed: 11/20/2022] Open
Abstract
Age of onset and survival disparities exist for racial and ethnic minority patients diagnosed with MM. Differences in somatic mutations in tumor and blood (ie, clonal hematopoiesis) may contribute to disparities in outcomes observed.
Multiple myeloma (MM) incidence, mortality, and survival vary by race and ethnicity, but the causes of differences remain unclear. We investigated demographic, clinical, and molecular features of diverse MM patients to elucidate mechanisms driving clinical disparities. This study included 495 MM patients (self-reported Hispanic, n = 45; non-Hispanic Black, n = 52; non-Hispanic White, n = 398). Hispanic and non-Hispanic Black individuals had an earlier age of onset than non-Hispanic White individuals (53 and 57 vs 63 years, respectively, P < .001). There were no differences in treatment by race and ethnicity groups, but non-Hispanic Black patients had a longer time to hematopoietic cell transplant than non-Hispanic White patients (376 days vs 248 days; P = .01). Overall survival (OS) was improved for non-Hispanic Black compared with non-Hispanic White patients (HR, 0.50; 95% CI, 0.31-0.81; P = .005), although this association was attenuated after adjusting for clinical features (HR, 0.62; 95% CI, 0.37-1.03; P = .06). Tumor mutations in IRF4 were most common in Hispanic patients, and mutations in SP140, AUTS2, and SETD2 were most common in non-Hispanic Black patients. Differences in tumor expression of BCL7A, SPEF2, and ANKRD26 by race and ethnicity were observed. Clonal hematopoiesis was detected in 12% of patients and associated with inferior OS in non-Hispanic Black patients compared with patients without clonal hematopoiesis (HR, 4.36; 95% CI, 1.36-14.00). This study provides insight into differences in molecular features that may drive clinical disparities in MM patients receiving comparable treatment, with the novel inclusion of Hispanic individuals.
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Maignan K, Fashoyin-Aje LA, Torres AZ, Fernandes LL, Gwise T, Baxi SB, Roose JP, Rivera DR, Shen YL, Kluetz PG, Gormley NJ. Exploring racial disparities in treatment patterns and outcomes for patients with multiple myeloma using real world data. Blood Cancer J 2022; 12:65. [PMID: 35440047 PMCID: PMC9018767 DOI: 10.1038/s41408-022-00665-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/25/2022] [Accepted: 03/29/2022] [Indexed: 11/09/2022] Open
Abstract
This retrospective observational study evaluated racial disparities among Black and White patients with multiple myeloma (MM). We included patients from a longitudinal de-identified EHR-derived database who had ≥2 visits recorded on or after 1/1/2011, documented treatment, and race listed as White or Black. Black patients (n = 1172) were more likely female (54.8%/42.9%) and younger (<65 years, 40.8%/30.8%) than White patients (n = 4637). Unadjusted median real-world overall survival (rwOS) indexed to first-line of therapy (LOT) was 64.6 months (95% CI: 57.8-74.0) for Blacks and 54.5 months (95% CI: 50.9-56.2) for Whites. Adjusted rwOS estimates (for sex, age at index date, and practice type) to either first- (aHR = 0.94; 95% CI: 0.84-1.06) or second-LOT (aHR = 0.90; 95% CI: 0.77-1.05) were similar. Unadjusted derived response rate (dRR) during first-LOT was 84.8% (95% CI: 80.7-88.1) for Blacks and 86.9% (95% CI: 85.0-88.5) for Whites (odds ratio [OR] = 0.78 [95% CI: 0.57-1.10]); in second-LOT, 67.2% (95% CI: 58.4-75.0) for Blacks and 72.4% (95% CI: 68.1-76.3) for Whites (OR = 0.72 [95% CI: 0.46-1.13]). High representation of Black patients enabled this robust analysis, albeit with limitations inherent to the observational data source, the retrospective design, and the analytic use of newly derived endpoints requiring further validation.
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Affiliation(s)
| | - Lola A Fashoyin-Aje
- Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.,Oncology Center of Excellence, US Food and Drug Administration, Silver Spring, MD, USA
| | | | - Laura L Fernandes
- Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Thomas Gwise
- Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | | | | | - Donna R Rivera
- Oncology Center of Excellence, US Food and Drug Administration, Silver Spring, MD, USA
| | - Yuan Li Shen
- Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Paul G Kluetz
- Oncology Center of Excellence, US Food and Drug Administration, Silver Spring, MD, USA
| | - Nicole J Gormley
- Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
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Cheng Z, Zhang Y, Zhuo Y, Fan J, Xu Y, Li M, Chen H, Zhou L. LncRNA TARID induces cell proliferation through cell cycle pathway associated with coronary artery disease. Mol Biol Rep 2022; 49:4573-4581. [PMID: 35304681 DOI: 10.1007/s11033-022-07304-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 02/23/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND/AIM Long non-coding RNA TARID (lncRNA TARID) can activate the tumor suppressor TCF21 in tumorigenesis by inducing promoter demethylation. However, the impact on lncRNA TARID and its variants of coronary artery disease (CAD) are poorly understood. METHODS We performed a case-control study enrolling 949 cases and 892 controls to assess genotype. Five variants were genotyped by TaqMan assay. 20 cases and 20 controls were used to evaluate the expression of lncRNA TARID. The cell proliferation rate was evaluated by CCK-8. The RT-qPCR and cell cycle analysis were applied to examine cell proliferation-related mRNA and cell distribution. RESULTS This study indicated that rs2327433 GG genotype was associated with CAD risk adjusting for traditional risk factors (OR = 2.74, 95%CI: 1.10-6.83, P = 0.03). Our results analyses revealed that the genotype of rs2327433 was related to the proportion of CAD patients with left anterior descending artery disease and left circumflex artery disease (P = 0.025 and P = 0.025, respectively). The results showed that the minor allele frequency of rs2327433 was significantly correlated with the severity of the disease (P = 0.029). The eQTL analysis showed that rs2327433 may affect the transcription factors TCF21 regulated by lncRNA TARID. We found that TARID silencing regulated cell proliferation and altered cell cycle progression by induced upregulation of CDK1 and PCNA. CONCLUSIONS SNP rs2327433 in lncRNA TARID was associated with CAD risk and the severity of CAD in the Chinese Han population. Furthermore, SNP rs2327433 may affect the expression of atherosclerosis-related transcription factor TCF21 regulated by lncRNA TARID. Finally, our study provided a new lncRNA-dictated regulatory mechanism participating in cell proliferation.
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Affiliation(s)
- Zheng Cheng
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Yonghong Zhang
- Chongqing Research Center for Pharmaceutical Engineering, College of Pharmacy, Chongqing Medical University, Chongqing, China
| | - Yang Zhuo
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Jie Fan
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Ying Xu
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Mengmeng Li
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Hao Chen
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China
| | - Li Zhou
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, China.
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Dong J, Garacci Z, Buradagunta CS, D'Souza A, Mohan M, Cunningham A, Janz S, Dhakal B, Thrift AP, Hari P. Black patients with multiple myeloma have better survival than white patients when treated equally: a matched cohort study. Blood Cancer J 2022; 12:34. [PMID: 35210395 PMCID: PMC8873507 DOI: 10.1038/s41408-022-00633-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 01/12/2022] [Accepted: 02/08/2022] [Indexed: 01/07/2023] Open
Abstract
We assessed differences in survival between non-Hispanic black (NHB) and non-Hispanic white (NHW) patients with multiple myeloma (MM), and the sequential effects of patient characteristics, and diagnosis and treatment-related factors on the survival disparity using data from 3319 NHB and 20,831 NHW MM patients in the SEER-Medicare (1999-2017) database. Four sets of 3319 NHWs were matched sequentially to the same set of 3319 NHBs, based on demographics (age, sex, year of diagnosis, marital status, and SEER site), socioeconomic status (SES, demographics plus SES), presentation factors (SES variables plus comorbidity), and treatment factors (presentation variables plus antimyeloma therapies). We found NHBs were less likely to receive treatment than NHWs even among patients matched for demographics, SES, and comorbidities. The absolute difference in 5-year survival between NHBs and NHWs was not significant in the demographics match (0.6%; P = 0.30) and remained non-significant after matching for SES (1.4%, P = 0.17). When matching for presentation, NHBs had significantly longer 5-year survival than NHWs (absolute difference = 3.8%, P = 0.003). Additional matching on treatment-related factors further enlarged the racial difference in 5-year survival to 4.6% (P < 0.001). Our findings reinforce the importance of equitable access to effective treatment modalities to further improve the survival of NHB patients with MM.
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Affiliation(s)
- Jing Dong
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
- Medical College of Wisconsin Cancer Center, Milwaukee, WI, USA.
| | - Zhuping Garacci
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA
| | | | - Anita D'Souza
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Meera Mohan
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Ashley Cunningham
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Siegfried Janz
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Medical College of Wisconsin Cancer Center, Milwaukee, WI, USA
| | - Binod Dhakal
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Aaron P Thrift
- Section of Epidemiology and Population Sciences, Department of Medicine, and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Parameswaran Hari
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Medical College of Wisconsin Cancer Center, Milwaukee, WI, USA
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Oben B, Cosemans C, Geerdens E, Linsen L, Vanhees K, Maes B, Theunissen K, Cruys B, Lionetti M, Arijs I, Bolli N, Froyen G, Rummens JL. The Dynamics of Nucleotide Variants in the Progression from Low-Intermediate Myeloma Precursor Conditions to Multiple Myeloma: Studying Serial Samples with a Targeted Sequencing Approach. Cancers (Basel) 2022; 14:cancers14041035. [PMID: 35205782 PMCID: PMC8870380 DOI: 10.3390/cancers14041035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/28/2022] [Accepted: 02/16/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Multiple myeloma (MM), characterized by the expansion of plasma cells in the bone marrow, is the second most common hematological malignancy. This incurable cancer is consistently preceded by non-malignant asymptomatic precursor conditions known as monoclonal gammopathy of undetermined significance (MGUS) and/or smoldering multiple myeloma (SMM). These pre-stages are relatively frequent, but only a select percentage of them will progress to MM. However, it is still not possible to individually predict when and which patients will develop MM. Therefore, this study aimed to investigate the mutational profile in the progression in serial bone marrow samples with a custom targeted sequencing panel, designed to detect variants in myeloma-related genes. Remarkably, almost all variants identified in the MM samples were also already present in the pre-stages, sometimes even many years before the progression. These results provide new important insights into the molecular mechanisms of the precursor conditions and progression to MM. Abstract Multiple myeloma (MM), or Kahler’s disease, is an incurable plasma cell (PC) cancer in the bone marrow (BM). This malignancy is preceded by one or more asymptomatic precursor conditions, monoclonal gammopathy of undetermined significance (MGUS) and/or smoldering multiple myeloma (SMM). The molecular mechanisms and exact cause of this progression are still not completely understood. In this study, the mutational profile underlying the progression from low–intermediate risk myeloma precursor conditions to MM was studied in serial BM smears. A custom capture-based sequencing platform was developed, including 81 myeloma-related genes. The clonal evolution of single nucleotide variants and short insertions and deletions was studied in serial BM smears from 21 progressed precursor patients with a median time of progression of six years. From the 21 patients, four patients had no variation in one of the 81 studied genes. Interestingly, in 16 of the 17 other patients, at least one variant present in MM was also detected in its precursor BM, even years before progression. Here, the variants were present in the pre-stage at a median of 62 months before progression to MM. Studying these paired BM samples contributes to the knowledge of the evolutionary genetic landscape and provides additional insight into the mutational behavior of mutant clones over time throughout progression.
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Affiliation(s)
- Bénedith Oben
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Correspondence:
| | - Charlotte Cosemans
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Centre for Environmental Sciences, Hasselt University, 3590 Diepenbeek, Belgium
| | - Ellen Geerdens
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Loes Linsen
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Activity Center Biobanking, University Hospitals Leuven, 3000 Leuven, Belgium
- University Biobank Limburg (UBiLim), Clinical Biobank, Jessa Hospital, 3500 Hasselt, Belgium
| | - Kimberly Vanhees
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- University Biobank Limburg (UBiLim), Clinical Biobank, Jessa Hospital, 3500 Hasselt, Belgium
| | - Brigitte Maes
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Koen Theunissen
- Department Hematology, Jessa Hospital, 3500 Hasselt, Belgium;
| | - Bert Cruys
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Marta Lionetti
- Department Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (M.L.); (N.B.)
| | - Ingrid Arijs
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Laboratory for Translational Genetics, Department Human Genetics, University of Leuven, 3000 Leuven, Belgium
- Belgian Inflammatory Bowel Disease Research and Development (BIRD), 1930 Zaventem, Belgium
| | - Niccolò Bolli
- Department Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (M.L.); (N.B.)
- Unità Operativa Complessa di Ematologia, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Guy Froyen
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Jean-Luc Rummens
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- University Biobank Limburg (UBiLim), Clinical Biobank, Jessa Hospital, 3500 Hasselt, Belgium
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Analysis of Racial and Ethnic Disparities in Multiple Myeloma U.S. FDA Drug Approval Trials. Blood Adv 2022; 6:1684-1691. [PMID: 35114691 PMCID: PMC8941450 DOI: 10.1182/bloodadvances.2021005482] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 01/15/2022] [Indexed: 11/20/2022] Open
Abstract
African Americans (AA) have a higher incidence of multiple myeloma (MM) than White patients. Mortality is also higher in AA compared toWhite patients. AA more commonly have IgH translocations t(11;14) and t(14;16), compared to Caucasians. We sought to characterize the demographic representation in MM clinical trials and to evaluate outcomes based on race and ethnicity. We conducted a pooled analysis of all trials submitted to the United States (U.S) Food and Drug Administration (FDA) to support approval of a MM therapeutic between 2006 and 2019. Demographic characteristics were analyzed descriptively. An age-adjusted stratified Cox regression model was used to evaluate the relationship between time-to-event outcomes and race and ethnicity. Nineteen global trials comprising 10,157 patients were pooled.White, Asian, and Black patients comprised 84%, 7%, and 4% of the dataset, respectively. Hispanic patients comprised 4%. The age-adjusted overall survival (OS) hazard ratio [HR] for Black compared to White patientss was 0.89 (95% confidence interval [CI], 0.75 to 1.05). The age-adjusted HR for U.S. Black versus U.S. White patients, was 0.82 (95% CI, 0.66 to 1.02). For Rest of World (RoW) Black versus RoW White patients, HR was 1.31( 95% CI, 0.97 to 1.77). Black and Hispanic patients were underrepresented in the trials supporting approval of MM drugs. Black patients were primarily enrolled in the U.S. Outcomes in U.S. patients were more favorable compared to patients in the RoW. Given the higher incidence of MM in AA and different disease characteristics, efforts should be made to improve representation of AA in MM clinical trials.
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Peres LC, Hansen DK, Maura F, Kazandjian D. The knowns and unknowns of disparities, biology, and clinical outcomes in Hispanic and Latinx multiple myeloma patients in the U.S. Semin Oncol 2022; 49:3-10. [DOI: 10.1053/j.seminoncol.2022.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 01/23/2022] [Indexed: 11/11/2022]
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Ajore R, Niroula A, Pertesi M, Cafaro C, Thodberg M, Went M, Bao EL, Duran-Lozano L, Lopez de Lapuente Portilla A, Olafsdottir T, Ugidos-Damboriena N, Magnusson O, Samur M, Lareau CA, Halldorsson GH, Thorleifsson G, Norddahl GL, Gunnarsdottir K, Försti A, Goldschmidt H, Hemminki K, van Rhee F, Kimber S, Sperling AS, Kaiser M, Anderson K, Jonsdottir I, Munshi N, Rafnar T, Waage A, Weinhold N, Thorsteinsdottir U, Sankaran VG, Stefansson K, Houlston R, Nilsson B. Functional dissection of inherited non-coding variation influencing multiple myeloma risk. Nat Commun 2022; 13:151. [PMID: 35013207 PMCID: PMC8748989 DOI: 10.1038/s41467-021-27666-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 12/02/2021] [Indexed: 12/16/2022] Open
Abstract
Thousands of non-coding variants have been associated with increased risk of human diseases, yet the causal variants and their mechanisms-of-action remain obscure. In an integrative study combining massively parallel reporter assays (MPRA), expression analyses (eQTL, meQTL, PCHiC) and chromatin accessibility analyses in primary cells (caQTL), we investigate 1,039 variants associated with multiple myeloma (MM). We demonstrate that MM susceptibility is mediated by gene-regulatory changes in plasma cells and B-cells, and identify putative causal variants at six risk loci (SMARCD3, WAC, ELL2, CDCA7L, CEP120, and PREX1). Notably, three of these variants co-localize with significant plasma cell caQTLs, signaling the presence of causal activity at these precise genomic positions in an endogenous chromosomal context in vivo. Our results provide a systematic functional dissection of risk loci for a hematologic malignancy.
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Affiliation(s)
- Ram Ajore
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden
| | - Abhishek Niroula
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden
- Broad Institute of Massachusetts Institute of Technology and Harvard University, 415 Main Street, Boston, MA, 02142, USA
| | - Maroulio Pertesi
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden
| | - Caterina Cafaro
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden
| | - Malte Thodberg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden
| | - Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, United Kingdom
| | - Erik L Bao
- Broad Institute of Massachusetts Institute of Technology and Harvard University, 415 Main Street, Boston, MA, 02142, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Laura Duran-Lozano
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden
| | | | | | - Nerea Ugidos-Damboriena
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden
| | - Olafur Magnusson
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101, Reykjavik, Iceland
| | - Mehmet Samur
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Caleb A Lareau
- Broad Institute of Massachusetts Institute of Technology and Harvard University, 415 Main Street, Boston, MA, 02142, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | | | | | | | - Asta Försti
- German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120, Heidelberg, Germany
- Hopp Children's Cancer Center, Heidelberg, Germany
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University Hospital of Heidelberg, 69120, Heidelberg, Germany
| | - Kari Hemminki
- German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120, Heidelberg, Germany
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, Prague, 30605, Czech Republic
| | | | - Scott Kimber
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, United Kingdom
| | - Adam S Sperling
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Martin Kaiser
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, United Kingdom
| | - Kenneth Anderson
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | - Nikhil Munshi
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Thorunn Rafnar
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101, Reykjavik, Iceland
| | - Anders Waage
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Box 8905, N-7491, Trondheim, Norway
| | - Niels Weinhold
- German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120, Heidelberg, Germany
- Department of Internal Medicine V, University Hospital of Heidelberg, 69120, Heidelberg, Germany
| | | | - Vijay G Sankaran
- Broad Institute of Massachusetts Institute of Technology and Harvard University, 415 Main Street, Boston, MA, 02142, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
| | - Kari Stefansson
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101, Reykjavik, Iceland
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, United Kingdom
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden.
- Broad Institute of Massachusetts Institute of Technology and Harvard University, 415 Main Street, Boston, MA, 02142, USA.
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Hsa-miR-3651 could serve as a novel predictor for in-breast recurrence via FRMD3. Breast Cancer 2021; 29:274-286. [PMID: 34865205 PMCID: PMC8885475 DOI: 10.1007/s12282-021-01308-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 10/25/2021] [Indexed: 11/29/2022]
Abstract
Background MicroRNAs are small non-coding RNAs with pivotal regulatory functions in multiple cellular processes. Their significance as molecular predictors for breast cancer was demonstrated in the past 15 years. The aim of this study was to elucidate the role of hsa-miR-3651 for predicting of local control (LC) in early breast cancer. Results By means of high-throughput technology, hsa-miR-3651 was found to be differentially expressed between patients who experienced local relapse compared to those without (N = 23; p = 0.0035). This result could be validated in an independent cohort of 87 patients using RT-qPCR (p < 0.0005). In a second analysis step with a chip-based microarray containing 70,523 probes of potential target molecules, FERM domain protein 3 (FRMD3) was found to be the most down-regulated protein (N = 21; p = 0.0016). Computational analysis employing different prediction algorithms revealed FRMD3 as a likely downstream target of hsa-miR-3651 with an 8mer binding site between the two molecules. This could be validated in an independent patient set (N = 20, p = 0.134). Conclusion The current study revealed that hsa-miR-3651 is a predictor of LC in early breast cancer via its putative target protein FRMD3. Since microRNAs interfere in multiple pathways, the results of this hypothesis generating study may contribute to the development of tailored therapies for breast cancer in the future. Supplementary Information The online version contains supplementary material available at 10.1007/s12282-021-01308-y.
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Lack of differential impact of del17p on survival in African Americans compared with White patients with multiple myeloma: a VA study. Blood Adv 2021; 5:3511-3514. [PMID: 34428278 DOI: 10.1182/bloodadvances.2020004001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 03/18/2021] [Indexed: 01/09/2023] Open
Abstract
Multiple myeloma (MM) is a heterogeneous disease that has an increased incidence in African Americans (AAs). We previously observed that, with equal access to health care, younger AA patients (age < 65 years) have superior overall survival (OS) compared with younger White patients. Because MM prognosis is influenced by 17p deletion (del17p), we investigated racial differences in its occurrence and impact in a large cohort of MM patients from the Veterans Affairs (VA) system. Among 2243 VA patients with MM for whom del17p data were available, del17p was present in 8.83% of all patients, with a significantly lower prevalence in AAs (5.56%) compared with Whites (10.52%; P < .001). The difference was even more pronounced among younger AAs (<65 years) vs younger Whites (4.34% vs 9.8%, respectively; P = .004). However, we did not observe any significant difference in survival between AA and White patients with del17p, regardless of age category, suggesting that del17p carries a poor prognosis across race and age. Interestingly, among patients without del17p, we still noted a significantly superior OS in younger AAs compared with younger Whites (7.75 vs 5.10 years; P = .042). Our study shows a lower incidence of del17p in AAs but suggests that the survival advantage for younger AAs is primarily due to factors other than del17p.
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Comprehensive molecular profiling of UV-induced metastatic melanoma in Nme1/Nme2-deficient mice reveals novel markers of survival in human patients. Oncogene 2021; 40:6329-6342. [PMID: 34433909 PMCID: PMC8595820 DOI: 10.1038/s41388-021-01998-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 08/05/2021] [Accepted: 08/17/2021] [Indexed: 12/13/2022]
Abstract
Hepatocyte growth factor-overexpressing mice that harbor a deletion of the Ink4a/p16 locus (HP mice) form melanomas with low metastatic potential in response to UV irradiation. Here we report that these tumors become highly metastatic following hemizygous deletion of the Nme1 and Nme2 metastasis suppressor genes (HPN mice). Whole genome sequencing of melanomas from HPN mice revealed a striking increase in lung metastatic activity that is associated with missense mutations in eight signature genes (Arhgap35, Atp8b4, Brca1, Ift172, Kif21b, Nckap5, Pcdha2 and Zfp869). RNA-seq analysis of transcriptomes from HP and HPN primary melanomas identified a 32-gene signature (HPN lung metastasis signature) for which decreased expression is strongly associated with lung metastatic potential. Analysis of transcriptome data from The Cancer Genome Atlas revealed expression profiles of these genes that predict improved survival of patients with cutaneous or uveal melanoma. Silencing of three representative HPN lung metastasis signature genes (ARRDC3, NYNRIN, RND3) in human melanoma cells resulted in increased invasive activity, consistent with roles for these genes as mediators of the metastasis suppressor function of NME1 and NME2. In conclusion, our studies have identified a family of genes that mediate suppression of melanoma lung metastasis, and which may serve as prognostic markers and/or therapeutic targets for clinical management of metastatic melanoma.
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Al Hadidi S, Dongarwar D, Salihu HM, Kamble RT, Lulla P, Hill LC, Carrum G, Ramos CA, Heslop HE, Usmani SZ. Health disparities experienced by Black and Hispanic Americans with multiple myeloma in the United States: a population-based study. Leuk Lymphoma 2021; 62:3256-3263. [PMID: 34278937 DOI: 10.1080/10428194.2021.1953013] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Hispanics and non-Hispanic (NH)-Blacks continue to face numerous health disparities related to multiple myeloma (MM). We aimed to analyze trends of MM-related hospitalizations and incidence of in-hospital mortality with a 10-year cross-sectional analysis of inpatient hospitalizations. The prevalence of MM-related hospitalizations was higher in NH-Blacks compared to NH-Whites (476.0 vs. 305.6 per 100,000 hospitalizations, p < .001). MM-related in-hospital mortality was higher in Hispanics compared to NH-Whites and NH-Blacks (6.2 vs. 5.3%, p < .001). Using average annual percent change (AAPC), we found a statistically significant decline of in-hospital mortality among all MM patients except NH-Blacks (AAPC: -2.2, 95% confidence interval (CI) -4.7, 0.4, p = .47), who had the highest inpatient mortality in recent years. Multivariate analysis showed that NH-Blacks received fewer transplants, more blood product transfusions, fewer palliative care consults, less inpatient chemotherapy, and utilized more intensive care. Disparities in MM care for NH-Blacks and Hispanics continue to persist despite recent advancements in MM therapy.
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Affiliation(s)
- Samer Al Hadidi
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX, USA.,Department of Medicine, Hematology and Oncology Section, Baylor College of Medicine, Houston, TX, USA.,Center of Excellence in Health Equity, Training and Research, Baylor College of Medicine, Houston, TX, USA.,Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.,Myeloma Section, Winthrop P. Rockefeller Cancer Institute at the University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Deepa Dongarwar
- Center of Excellence in Health Equity, Training and Research, Baylor College of Medicine, Houston, TX, USA
| | - Hamisu M Salihu
- Center of Excellence in Health Equity, Training and Research, Baylor College of Medicine, Houston, TX, USA
| | - Rammurti T Kamble
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX, USA.,Department of Medicine, Hematology and Oncology Section, Baylor College of Medicine, Houston, TX, USA.,Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Premal Lulla
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX, USA.,Department of Medicine, Hematology and Oncology Section, Baylor College of Medicine, Houston, TX, USA.,Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - LaQuisa C Hill
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX, USA.,Department of Medicine, Hematology and Oncology Section, Baylor College of Medicine, Houston, TX, USA.,Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - George Carrum
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX, USA.,Department of Medicine, Hematology and Oncology Section, Baylor College of Medicine, Houston, TX, USA.,Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Carlos A Ramos
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX, USA.,Department of Medicine, Hematology and Oncology Section, Baylor College of Medicine, Houston, TX, USA.,Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Helen E Heslop
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX, USA.,Department of Medicine, Hematology and Oncology Section, Baylor College of Medicine, Houston, TX, USA.,Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Saad Z Usmani
- Department of Hematologic Oncology and Blood Disorders, Levine Cancer Institute/Atrium Health, Charlotte, NC, USA
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Castañeda-Avila MA, Jesdale BM, Beccia A, Bey GS, Epstein MM. Differences in survival among multiple myeloma patients in the United States SEER population by neighborhood socioeconomic status and race/ethnicity. Cancer Causes Control 2021; 32:1021-1028. [PMID: 34089470 DOI: 10.1007/s10552-021-01454-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 05/26/2021] [Indexed: 01/22/2023]
Abstract
PURPOSE We examined the combined influences of race/ethnicity and neighborhood socioeconomic status (SES) on long-term survival among patients with multiple myeloma (MM). METHODS Data from the 2000-2015 NCI Surveillance, Epidemiology, and End Results Program (SEER-18) were used. Census tract-level SES index was assessed in tertiles (low, medium, high SES). Competing-risk modeling was used to estimate sub-hazard ratios (SHR) and 95% confidence intervals (CIs) for SES tertile adjusted for sex and age at diagnosis and stratified by race/ethnicity. RESULTS Overall, living in a low SES neighborhood was associated with worse MM survival. However, we observed some variation in the association by racial/ethnic group. Living in a low versus a high SES neighborhood was associated with a 35% (95% CI = 1.16-1.57) increase in MM-specific mortality risk among Asian/Pacific Islander cases, a 17% (95% CI = 1.12-1.22) increase among White cases, a 14% (95% CI = 1.04-1.23) increase among Black cases, and a 7% (95% CI = 0.96-1.19) increase among Hispanic cases. CONCLUSION These results suggest that the influence of both SES and race/ethnicity should be considered when considering interventions to remedy disparities in MM survival.
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Affiliation(s)
- Maira A Castañeda-Avila
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Road North, Worcester, MA, 01655, USA.
| | - Bill M Jesdale
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Road North, Worcester, MA, 01655, USA
| | - Ariel Beccia
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Road North, Worcester, MA, 01655, USA
| | - Ganga S Bey
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Mara M Epstein
- Meyers Primary Care Institute and the Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
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Peravali M, Ahn J, Chen K, Rao S, Veytsman I, Liu SV, Kim C. Safety and Efficacy of First-Line Pembrolizumab in Black Patients with Metastatic Non-Small Cell Lung Cancer. Oncologist 2021; 26:694-700. [PMID: 33844354 DOI: 10.1002/onco.13787] [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: 06/17/2020] [Accepted: 03/19/2021] [Indexed: 11/06/2022] Open
Abstract
INTRODUCTION Pembrolizumab, an immune checkpoint inhibitor (ICI), has become an integral part of front-line treatment of metastatic non-small cell lung cancer (NSCLC). However, pivotal trials had significant underrepresentation of Black patients (pts). Lack of sufficient evidence regarding safety and efficacy of ICIs among minority racial groups poses a challenge in delivery of optimal cancer directed care. METHODS We retrospectively reviewed pts with stage IV NSCLC treated with first-line pembrolizumab across three MedStar facilities between January 1, 2014, and May 3, 2019. Progression-free survival (PFS) and overall survival (OS) were primary endpoints and were calculated using the Kaplan-Meier method. Immune-related adverse events (irAEs) were assessed according to Common Terminology Criteria for Adverse Events Version 5.0 (CTCAE v5.0). RESULTS In total, 136 pts were identified, with 74 (54.4%) White, 53 (39%) Black, 2 (1.5%) Asian, and 7 (5.1%) other racial groups. Median age was 70 years in White pts and 65 years in Black pts (p < .01). There was no difference in median PFS (5.7 vs. 5.9 months; p = .651) or OS (11.8 vs. 12.4 months; p = .949) between White and Black pts. In the subset of patients whose tumors had high programmed death-ligand 1 (PD-L1) expression (≥50%), there was still no difference in efficacy by race. Median PFS (8.7 vs. 3.9 months; p = .843) and OS (14.7 vs. 11.3 months; p = .581) in White versus Black pts were not different. Incidence of irAEs in White versus Black pts was 24.3% and 22.6%, respectively (p = .83). CONCLUSION We found no major differences in either safety or efficacy of first-line pembrolizumab between White and Black pts. Use of first-line pembrolizumab-based treatment in Black pts with stage IV NSCLC is safe and efficacious, based on these real-world data. IMPLICATIONS FOR PRACTICE Immunotherapy has revolutionized treatment of solid and hematological malignancies. There are certain populations of patients underrepresented in the original trials including minority racial groups, patients with autoimmune diseases, and those with chronic viral illnesses. Our study focuses on Black patients with metastatic lung cancer who received pembrolizumab and concludes similar safety and response to treatment when compared with White patients. Black patients are an important demographic group in clinical practice often facing systemic health care disparities. This study paves a path for future studies in underrepresented populations receiving immunotherapy across various malignancies.
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Affiliation(s)
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Kevin Chen
- MedStar Franklin Square Medical Center, Baltimore, Maryland, USA
| | - Suman Rao
- MedStar Franklin Square Medical Center, Baltimore, Maryland, USA
| | | | - Stephen V Liu
- MedStar Georgetown University Hospital, Washington, DC, USA
| | - Chul Kim
- MedStar Georgetown University Hospital, Washington, DC, USA
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Synthetic lethality-mediated precision oncology via the tumor transcriptome. Cell 2021; 184:2487-2502.e13. [PMID: 33857424 DOI: 10.1016/j.cell.2021.03.030] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 10/29/2020] [Accepted: 03/12/2021] [Indexed: 01/27/2023]
Abstract
Precision oncology has made significant advances, mainly by targeting actionable mutations in cancer driver genes. Aiming to expand treatment opportunities, recent studies have begun to explore the utility of tumor transcriptome to guide patient treatment. Here, we introduce SELECT (synthetic lethality and rescue-mediated precision oncology via the transcriptome), a precision oncology framework harnessing genetic interactions to predict patient response to cancer therapy from the tumor transcriptome. SELECT is tested on a broad collection of 35 published targeted and immunotherapy clinical trials from 10 different cancer types. It is predictive of patients' response in 80% of these clinical trials and in the recent multi-arm WINTHER trial. The predictive signatures and the code are made publicly available for academic use, laying a basis for future prospective clinical studies.
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Abstract
OBJECTIVE Comprehensive molecular profiling of radioresistant and cystic vestibular schwannoma (VS) subtypes. STUDY DESIGN Our study utilized whole-exome sequencing (WES), RNA-sequencing (RNAseq), and correlated clinical data from 12 samples (2 samples of solid sporadic subtype, 8 with cystic changes, and 2 previously irradiated). SETTING Academic medical center. PATIENTS Patients diagnosed with VS who required surgical treatment. Inclusion: Cystic and radioresistant tumors matched to age and tumor volume, with solid sporadic VS samples as control; Exclusion: NF-2 patients. INTERVENTION(S) WES using custom probes for copy number analysis. A modified version of the Agilent Human Whole Exome sequencing hybrid capture system was used to process samples. Recurrent variants were identified and compared between groups. Leukocyte-derived DNA was utilized as internal control to reduce false-positives. MAIN OUTCOME MEASURE(S) Analysis of genetic landscape of VS subtypes (naive solid VS, cystic VS, and previously irradiated VS) by performing deep next-generation sequencing. RESULTS WES data achieved a mean coverage of 202X and RNAseq generated an average of 74 million total reads. As a group, 25% of samples had 22q loss. Somatic analysis identified previously reported genes and multiple novel mutations across samples. Differential expression analysis of RNAseq data found significantly mutated genes such as COL6A3, CLMP, ART4, Lumican that were shared by both cystic VS and irradiated VS, but not seen in sporadic VS. CONCLUSIONS Using WES we were able to demonstrate that cystic and irradiated samples are subtypes of VS with an increased mutation burden and a unique genetic fingerprint. We identified differences between the genomic and molecular profile of cystic VS and radioresistant VS. Our results help advance the understanding of the pathophysiology of these tumor subtypes and suggest possible molecular targets for novel treatment strategies.
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Comparison of Monoclonal Gammopathies Linked to Poliovirus or Coxsackievirus vs. Other Infectious Pathogens. Cells 2021; 10:cells10020438. [PMID: 33669483 PMCID: PMC7922508 DOI: 10.3390/cells10020438] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 02/09/2021] [Accepted: 02/12/2021] [Indexed: 01/04/2023] Open
Abstract
Chronic stimulation by infectious pathogens or self-antigen glucosylsphingosine (GlcSph) can lead to monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM). Novel assays such as the multiplex infectious antigen microarray (MIAA) and GlcSph assays, permit identification of targets for >60% purified monoclonal immunoglobulins (Igs). Searching for additional targets, we selected 28 purified monoclonal Igs whose antigen was not represented on the MIAA and GlcSph assays; their specificity of recognition was then analyzed using microarrays consisting of 3760 B-cell epitopes from 196 pathogens. The peptide sequences PALTAVETG and PALTAAETG of the VP1 coat proteins of human poliovirus 1/3 and coxsackievirus B1/B3, respectively, were specifically recognized by 6/28 monoclonal Igs. Re-analysis of patient cohorts showed that purified monoclonal Igs from 10/155 MGUS/SM (6.5%) and 3/147 MM (2.0%) bound to the PALTAVETG or PALTAAETG epitopes. Altogether, PALTAV/AETG-initiated MGUS are not rare and few seem to evolve toward myeloma.
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40
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Ailawadhi S, Jagannath S, Lee HC, Narang M, Rifkin RM, Terebelo HR, Durie BGM, Toomey K, Hardin JW, Gasparetto CJ, Wagner L, Omel JL, He M, Yue L, Flick ED, Agarwal A, Abonour R. Association between race and treatment patterns and survival outcomes in multiple myeloma: A Connect MM Registry analysis. Cancer 2020; 126:4332-4340. [PMID: 32706404 PMCID: PMC7540439 DOI: 10.1002/cncr.33089] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 05/04/2020] [Accepted: 05/28/2020] [Indexed: 11/10/2022]
Abstract
Background Studies have reported racial disparities in access to and use of multiple myeloma (MM) treatments between African American (AA) and White patients. Although AA patients demonstrate longer disease‐specific survival, this has not uniformly translated into improved survival over time. The association between race and treatment patterns and survival outcomes was analyzed using data from the Connect MM Registry. Methods The Connect MM Registry is a large US, multicenter, prospective observational cohort study of patients with newly diagnosed MM. Patients who received first‐line (1L) stem cell transplantation (SCT) or who did not receive SCT (non‐SCT or non–stem cell transplantation [NSCT]) were grouped by raceEffects of race and transplantation status on the use of triplet treatment were estimated using logistic regression. Results Treatment patterns in 1L (types and duration of induction, posttransplantation maintenance) were similar between AA and White patients. SCT rates in 1L (32% vs 36%) and triplet treatment use (AA: 44% for NSCT patients and 72% for SCT patients; and White: 48% for NSCT patients and 72% for SCT patients) during first induction were similar. No significant effect of race or transplantation status on 1L triplet treatment use was observed. Race was not found to be associated with survival outcomes among patients who underwent NSCT; however, AA patients who received SCT had significantly longer overall survival compared with White patients who underwent SCT (not reached vs 88.2 months; hazard ratio, 0.56; 95% CI, 0.35‐0.89 [P = .0141]). Conclusions AA and White patients were found to have similar treatment patterns in the Connect MM Registry, suggesting that both groups had equal access to health care. In this real‐world setting, AA patients received standard‐of‐care treatment, which might have contributed to better MM‐specific survival compared with White patients. Real‐world data from the mostly community‐based Connect MM Registry demonstrated that African American patients have multiple myeloma treatment patterns that are similar to those of White patients. Similar (progression‐free survival) and better (overall survival) survival outcomes are reported in African American individuals.
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Affiliation(s)
| | | | - Hans C Lee
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Robert M Rifkin
- Rocky Mountain Cancer Centers, US Oncology Research, Denver, Colorado
| | | | | | | | | | | | - Lynne Wagner
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - James L Omel
- Myeloma Research Advocate/Advisor, Grand Island, Nebraska
| | - Mia He
- Bristol-Myers Squibb, Summit, New Jersey
| | - Lihua Yue
- Bristol-Myers Squibb, Summit, New Jersey
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Dufva O, Pölönen P, Brück O, Keränen MAI, Klievink J, Mehtonen J, Huuhtanen J, Kumar A, Malani D, Siitonen S, Kankainen M, Ghimire B, Lahtela J, Mattila P, Vähä-Koskela M, Wennerberg K, Granberg K, Leivonen SK, Meriranta L, Heckman C, Leppä S, Nykter M, Lohi O, Heinäniemi M, Mustjoki S. Immunogenomic Landscape of Hematological Malignancies. Cancer Cell 2020; 38:380-399.e13. [PMID: 32649887 DOI: 10.1016/j.ccell.2020.06.002] [Citation(s) in RCA: 112] [Impact Index Per Article: 22.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 03/27/2020] [Accepted: 05/29/2020] [Indexed: 12/15/2022]
Abstract
Understanding factors that shape the immune landscape across hematological malignancies is essential for immunotherapy development. We integrated over 8,000 transcriptomes and 2,000 samples with multilevel genomics of hematological cancers to investigate how immunological features are linked to cancer subtypes, genetic and epigenetic alterations, and patient survival, and validated key findings experimentally. Infiltration of cytotoxic lymphocytes was associated with TP53 and myelodysplasia-related changes in acute myeloid leukemia, and activated B cell-like phenotype and interferon-γ response in lymphoma. CIITA methylation regulating antigen presentation, cancer type-specific immune checkpoints, such as VISTA in myeloid malignancies, and variation in cancer antigen expression further contributed to immune heterogeneity and predicted survival. Our study provides a resource linking immunology with cancer subtypes and genomics in hematological malignancies.
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MESH Headings
- Acute Disease
- Epigenesis, Genetic
- Gene Expression Profiling/methods
- Gene Expression Regulation, Neoplastic
- Genomics/methods
- HLA Antigens/genetics
- Humans
- Immunotherapy/methods
- Leukemia, Myeloid/genetics
- Leukemia, Myeloid/immunology
- Leukemia, Myeloid/therapy
- Lymphocytes, Tumor-Infiltrating/immunology
- Lymphocytes, Tumor-Infiltrating/metabolism
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/immunology
- Lymphoma, Large B-Cell, Diffuse/therapy
- Multiple Myeloma/genetics
- Multiple Myeloma/immunology
- Multiple Myeloma/therapy
- Mutation
- Tumor Suppressor Protein p53/genetics
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Affiliation(s)
- Olli Dufva
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center (HUH CCC), 00029 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki (UH), 00029 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland
| | - Petri Pölönen
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, 70211 Kuopio, Finland
| | - Oscar Brück
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center (HUH CCC), 00029 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki (UH), 00029 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland
| | - Mikko A I Keränen
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center (HUH CCC), 00029 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki (UH), 00029 Helsinki, Finland
| | - Jay Klievink
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center (HUH CCC), 00029 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki (UH), 00029 Helsinki, Finland
| | - Juha Mehtonen
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, 70211 Kuopio, Finland
| | - Jani Huuhtanen
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center (HUH CCC), 00029 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki (UH), 00029 Helsinki, Finland
| | - Ashwini Kumar
- Institute for Molecular Medicine Finland, UH, 00014 Helsinki, Finland
| | - Disha Malani
- Institute for Molecular Medicine Finland, UH, 00014 Helsinki, Finland
| | - Sanna Siitonen
- Department of Clinical Chemistry, UH and HUSLAB, HUH, 00029 Helsinki, Finland
| | - Matti Kankainen
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center (HUH CCC), 00029 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki (UH), 00029 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland
| | - Bishwa Ghimire
- Institute for Molecular Medicine Finland, UH, 00014 Helsinki, Finland
| | - Jenni Lahtela
- Institute for Molecular Medicine Finland, UH, 00014 Helsinki, Finland
| | - Pirkko Mattila
- Institute for Molecular Medicine Finland, UH, 00014 Helsinki, Finland
| | | | | | - Kirsi Granberg
- Laboratory of Computational Biology, Faculty of Medicine and Health Technology, Tampere University (TU), 33014 Tampere, Finland
| | - Suvi-Katri Leivonen
- Department of Oncology, HUH CCC, 00029 Helsinki, Finland; Applied Tumor Genomics Research Program, Faculty of Medicine, UH, 00014 Helsinki, Finland
| | - Leo Meriranta
- Department of Oncology, HUH CCC, 00029 Helsinki, Finland; Applied Tumor Genomics Research Program, Faculty of Medicine, UH, 00014 Helsinki, Finland
| | - Caroline Heckman
- iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland; Institute for Molecular Medicine Finland, UH, 00014 Helsinki, Finland
| | - Sirpa Leppä
- iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland; Department of Oncology, HUH CCC, 00029 Helsinki, Finland; Applied Tumor Genomics Research Program, Faculty of Medicine, UH, 00014 Helsinki, Finland
| | - Matti Nykter
- Laboratory of Computational Biology, Faculty of Medicine and Health Technology, Tampere University (TU), 33014 Tampere, Finland
| | - Olli Lohi
- Tampere Center for Child Health Research, TU and Tays Cancer Center, Tampere University Hospital, 33521 Tampere, Finland
| | - Merja Heinäniemi
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Satu Mustjoki
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center (HUH CCC), 00029 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki (UH), 00029 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland.
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Dhodapkar MV, Sexton R, Hoering A, Van Rhee F, Barlogie B, Orlowski R. Race-Dependent Differences in Risk, Genomics, and Epstein-Barr Virus Exposure in Monoclonal Gammopathies: Results of SWOG S0120. Clin Cancer Res 2020; 26:5814-5819. [PMID: 32816893 DOI: 10.1158/1078-0432.ccr-20-2119] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 07/17/2020] [Accepted: 08/13/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE Risk of multiple myeloma is increased in African American (AA) populations compared with European American (EA) cohorts. Current estimates of risk of progression of monoclonal gammopathy of undetermined significance (MGUS) are based largely on studies in EA cohorts. Prospective analyses of this risk in AA cohorts are lacking. PATIENTS AND METHODS Between 2003 and 2011, 331 eligible patients with IgG/A monoclonal gammopathy were enrolled in a prospective observational trial (SWOG S0120). RESULTS Of 331 eligible patients, 57 (17%) were of AA descent. The risk of transformation to clinical malignancy in AA patients was significantly lower than in non-AA cohort (2-year risk 5% vs. 15%; 5-year risk 13% vs. 24%; log-rank P = 0.047). Differences in risk were evident for both MGUS and asymptomatic multiple myeloma. Gene expression profile (GEP) of CD138-purified plasma cells revealed that all molecular multiple myeloma subsets can be identified in both cohorts. However, the proportion of patients with high-risk GEP risk score (GEP-70 gene risk > -0.26) was lower in the AA cohort (0% vs. 33%, P = 0.01). AA cohorts also have higher levels of antibodies against Epstein-Barr nuclear antigen-1 (EBNA-1; P < 0.001). CONCLUSIONS These data provide the first prospective evidence that multiple myeloma precursor states in AA patients may have lower risk of disease compared with non-AA counterparts with lower incidence of high-risk GEP and increased EBV seropositivity. Race-dependent differences in biology and clinical risk of gammopathy may impact optimal management of these patients.
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Affiliation(s)
| | | | - Antje Hoering
- Cancer Research and Biostatistics, Seattle, Washington
| | - Frits Van Rhee
- Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas
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43
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Derman BA, Jasielec J, Langerman SS, Zhang W, Jakubowiak AJ, Chiu BCH. Racial differences in treatment and outcomes in multiple myeloma: a multiple myeloma research foundation analysis. Blood Cancer J 2020; 10:80. [PMID: 32770051 PMCID: PMC7414120 DOI: 10.1038/s41408-020-00347-6] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 07/15/2020] [Accepted: 07/22/2020] [Indexed: 12/28/2022] Open
Abstract
Findings on racial differences in survival in multiple myeloma (MM) have been inconclusive. We assessed differences in outcomes between White and Black individuals among 639 newly diagnosed MM patients in the MM Research Foundation CoMMpass registry with baseline cytogenetic data. Survival curves were constructed using the Kaplan-Meier method. Hazard ratios and 95% confidence intervals were derived from Cox proportional hazard regression models. Age, gender, and stage were similar between Whites (n = 526) and Blacks (n = 113). Blacks had inferior overall survival (OS) compared with Whites and were less likely to receive triplet therapies or frontline autologous stem cell transplant (ASCT). The following factors were significantly associated with inferior OS in multivariate analysis: higher international staging system (ISS) score, ≥1 or ≥2 high-risk cytogenetic abnormalities (HRCA), high-risk gene expression profile (GEP), and lack of ASCT. Multivariate analysis in the Black subset found that only lack of ASCT was significantly associated with inferior OS. The receipt of both triplet induction and ASCT only partly abrogated the effect of race on survival. HRCA did not track with survival in Blacks, emphasizing the need for race-specific risk prognostication schema to guide optimal MM therapy.
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Affiliation(s)
- Benjamin A Derman
- Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, IL, USA.
| | - Jagoda Jasielec
- Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, IL, USA
| | - Spencer S Langerman
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Wei Zhang
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Andrzej J Jakubowiak
- Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, IL, USA
| | - Brian C-H Chiu
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
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44
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Yu Y, Brown Wade N, Hwang AE, Nooka AK, Fiala MA, Mohrbacher A, Peters ES, Pawlish K, Bock C, Van Den Berg DJ, Rand KA, Stram D, Conti DV, Auclair D, Colditz GA, Mehta J, Haiman CA, Terebelo H, Janakiraman N, Singhal S, Chiu B, Vij R, Bernal-Mizrachi L, Zonder JA, Huff CA, Lonial S, Orlowski RZ, Cozen W, Ailawadhi S. Variability in Cytogenetic Testing for Multiple Myeloma: A Comprehensive Analysis From Across the United States. JCO Oncol Pract 2020; 16:e1169-e1180. [PMID: 32469686 DOI: 10.1200/jop.19.00639] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
PURPOSE Multiple myeloma (MM) treatment has changed tremendously, with significant improvement in patient out-comes. One group with a suboptimal benefit is patients with high-risk cytogenetics, as tested by conventional karyotyping or fluorescence in situ hybridization (FISH). Methodology for these tests has been published, but not necessarily standardized. METHODS We address variability in the testing and reporting methodology for MM cytogenetics in the United States using the ongoing African American Multiple Myeloma Study (AAMMS). We evaluated clinical and cytogenetic data from 1,221 patients (1,161 with conventional karyotyping and 976 with FISH) tested between 1998 and 2016 across 58 laboratories nationwide. RESULTS Interlab and intralab variability was noted for the number of cells analyzed for karyotyping, with a significantly higher number of cells analyzed in patients in whom cytogenetics were normal (P 5.0025). For FISH testing, CD138-positive cell enrichment was used in 29.7% of patients and no enrichment in 50% of patients, whereas the remainder had unknown status. A significantly smaller number of cells was analyzed for patients in which CD138 cell enrichment was used compared with those without such enrichment (median, 50 v 200; P, .0001). A median of 7 loci probes (range, 1-16) were used for FISH testing across all laboratories, with variability in the loci probed even within a given laboratory. Chromosome 13-related abnormalities were the most frequently tested abnormality (n5956; 97.9%), and t(14;16) was the least frequently tested abnormality (n 5 119; 12.2%). CONCLUSIONS We report significant variability in cytogenetic testing across the United States for MM, potentially leading to variability in risk stratification, with possible clinical implications and personalized treatment approaches.
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Affiliation(s)
- Yang Yu
- Department of Preventive Medicine, Center for Genetic Epidemiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Niquelle Brown Wade
- Department of Preventive Medicine, Center for Genetic Epidemiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Amie E Hwang
- Department of Preventive Medicine, Center for Genetic Epidemiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Ajay K Nooka
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA
| | - Mark A Fiala
- Division of Oncology, Washington University School of Medicine, Saint Louis, MO
| | - Ann Mohrbacher
- Department of Medicine, Division of Hematology, University of Southern California, Los Angeles, CA
| | - Edward S Peters
- Louisiana State University School of Public Health, New Orleans, LA
| | | | - Cathryn Bock
- Karmanos Cancer Center, Wayne State University, Detroit, MI
| | - David J Van Den Berg
- Department of Preventive Medicine, Center for Genetic Epidemiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | | | | | - David V Conti
- Department of Preventive Medicine, Center for Genetic Epidemiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | | | - Graham A Colditz
- Division of Oncology, Washington University School of Medicine, Saint Louis, MO
| | - Jayesh Mehta
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Christopher A Haiman
- Department of Preventive Medicine, Center for Genetic Epidemiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | | | | | - Seema Singhal
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Brian Chiu
- Department of Public Health Sciences, University of Chicago, Chicago, IL
| | - Ravi Vij
- Division of Oncology, Washington University School of Medicine, Saint Louis, MO
| | | | | | - Carol A Huff
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD
| | - Sagar Lonial
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA
| | - Robert Z Orlowski
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wendy Cozen
- Department of Preventive Medicine, Center for Genetic Epidemiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA.,Department of Pathology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
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45
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Kanamori T, Sanada M, Ri M, Ueno H, Nishijima D, Yasuda T, Tachita T, Narita T, Kusumoto S, Inagaki A, Ishihara R, Murakami Y, Kobayashi N, Shiozawa Y, Yoshida K, Nakagawa MM, Nannya Y, Shiraishi Y, Chiba K, Tanaka H, Miyano S, Horibe K, Handa H, Ogawa S, Iida S. Genomic analysis of multiple myeloma using targeted capture sequencing in the Japanese cohort. Br J Haematol 2020; 191:755-763. [PMID: 32386081 DOI: 10.1111/bjh.16720] [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: 02/16/2020] [Revised: 04/10/2020] [Accepted: 04/13/2020] [Indexed: 11/29/2022]
Abstract
Previous genomic studies have revealed the genomic landscape of myeloma cells. Although some of the genomic abnormalities shown are believed to be correlated to the molecular pathogenesis of multiple myeloma and/or clinical outcome, these correlations are not fully understood. The aim of this study is to elucidate the correlation between genomic abnormalities and clinical characteristics by targeted capture sequencing in the Japanese multiple myeloma cohort. We analysed 154 patients with newly diagnosed multiple myeloma. The analysis revealed that the study cohort consisted of a less frequent hyperdiploid subtype (37·0%) with relatively high frequencies of KRAS mutation (36·4%) and IGH-CCND1 translocation (26·6%) compared with previous reports. Moreover, our targeted capture sequencing strategy was able to detect rare IGH-associated chromosomal translocations, such as IGH-CCND2 and IGH-MAFA. Interestingly, all 10 patients harboured MAX mutations accompanied by 14q23 deletion. The patients with del(17p) exhibited an unfavourable clinical outcome, and the presence of KRAS mutation was associated with shorter survival in patients with multiple myeloma, harbouring IGH-CCND1. Thus, our study provides a detailed landscape of genomic abnormalities, which may have potential clinical application for patients with multiple myeloma.
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Affiliation(s)
- Takashi Kanamori
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan.,Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
| | - Masashi Sanada
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
| | - Masaki Ri
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan
| | - Hiroo Ueno
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Dai Nishijima
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
| | - Takahiko Yasuda
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
| | - Takuto Tachita
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan
| | - Tomoko Narita
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan
| | - Shigeru Kusumoto
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan
| | - Atsushi Inagaki
- Department of Hematology and Oncology, Nagoya City West Medical Center, Japan
| | - Rei Ishihara
- Department of Laboratory Science, Gunma University Graduate School of Health Science, Japan
| | - Yuki Murakami
- Department of Laboratory Science, Gunma University Graduate School of Health Science, Japan
| | - Nobuhiko Kobayashi
- Department of Hematology, Gunma University Graduate School of Medicine, Japan
| | - Yusuke Shiozawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan.,Department of Pediatrics, Graduate School of Medicine, The University of Tokyo, Japan
| | - Kenichi Yoshida
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | | | - Yasuhito Nannya
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Yuichi Shiraishi
- Division of Cellular Signaling, National Cancer Center Research Institute, Japan
| | - Kenichi Chiba
- Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan
| | - Hiroko Tanaka
- Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan
| | - Satoru Miyano
- Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan
| | - Keizo Horibe
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
| | - Hiroshi Handa
- Department of Laboratory Science, Gunma University Graduate School of Health Science, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan.,Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institute, Stockholm, Japan
| | - Shinsuke Iida
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan
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46
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Baughn LB, Li Z, Pearce K, Vachon CM, Polley MY, Keats J, Elhaik E, Baird M, Therneau T, Cerhan JR, Bergsagel PL, Dispenzieri A, Rajkumar SV, Asmann YW, Kumar S. The CCND1 c.870G risk allele is enriched in individuals of African ancestry with plasma cell dyscrasias. Blood Cancer J 2020; 10:39. [PMID: 32179748 PMCID: PMC7075993 DOI: 10.1038/s41408-020-0294-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 02/07/2020] [Accepted: 02/17/2020] [Indexed: 11/09/2022] Open
Affiliation(s)
- Linda B Baughn
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Zhuo Li
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Kathryn Pearce
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Celine M Vachon
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Mei-Yin Polley
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jonathan Keats
- Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Eran Elhaik
- Department of Biology, Lund University, Lund, Sweden
| | | | - Terry Therneau
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - James R Cerhan
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - P Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Angela Dispenzieri
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - S Vincent Rajkumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Yan W Asmann
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Shaji Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
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47
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Marinac CR, Ghobrial IM, Birmann BM, Soiffer J, Rebbeck TR. Dissecting racial disparities in multiple myeloma. Blood Cancer J 2020; 10:19. [PMID: 32066732 PMCID: PMC7026439 DOI: 10.1038/s41408-020-0284-7] [Citation(s) in RCA: 101] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 07/17/2019] [Accepted: 08/01/2019] [Indexed: 01/12/2023] Open
Abstract
Multiple myeloma (MM) is a fatal plasma cell dyscrasia with a median overall survival of 5 to 10 years. MM progresses from the more common but often subclinical precursor states of monoclonal gammopathy of undetermined significance (MGUS), and smoldering multiple myeloma (SMM) to overt MM. There are large racial disparities in all stages of the disease. Compared with Whites, Blacks have an increased MGUS and MM risk and higher mortality rate, and have not experienced the same survival gains over time. The roots of this disparity are likely multifactorial in nature. Comparisons of Black and White MGUS and MM patients suggest that differences in risk factors, biology, and clinical characteristics exist by race or ancestry, which may explain some of the observed disparity in MM. However, poor accrual of Black MGUS and MM patients in clinical and epidemiological studies has limited our understanding of this disparity and hindered its elimination. Disparities in MM survival also exist but appear to stem from inferior treatment utilization and access rather than underlying pathogenesis. Innovative and multidisciplinary approaches are urgently needed to enhance our understanding of disparities that exist at each stage of the MM disease continuum and facilitate their elimination.
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Affiliation(s)
- Catherine R Marinac
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, 02215, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,The Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Irene M Ghobrial
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, 02215, USA.,The Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Jenny Soiffer
- University of Miami Miller School of Medicine, Miami, FL, 33136, USA
| | - Timothy R Rebbeck
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, 02215, USA. .,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
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48
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Multiple Myeloma in a Patient with ANKRD26-Related Thrombocytopenia Successfully Treated with Combination Therapy and Autologous Stem Cell Transplant. Case Rep Hematol 2019; 2019:9357572. [PMID: 31281687 PMCID: PMC6589226 DOI: 10.1155/2019/9357572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 04/26/2019] [Accepted: 05/14/2019] [Indexed: 12/04/2022] Open
Abstract
Ankyrin repeat domain-containing protein 26- (ANKRD26-) related thrombocytopenia is a rare, autosomal dominant condition caused by ANKRD26 gene mutation. ANKRD26-related thrombocytopenia is characterized by moderate thrombocytopenia with minimal bleeding, normal platelet size, and dysmegakaryopoiesis on bone marrow evaluation. ANKRD26 mutation has been previously associated with myeloid malignancies, including acute myeloid leukemia, myelodysplastic syndrome, and chronic myeloid leukemia. We report the first case of multiple myeloma in a patient with ANKRD26 related thrombocytopenia. The patient was successfully treated with contemporary combination therapy followed by melphalan-conditioned autologous stem cell transplant for his multiple myeloma despite preexisting thrombocytopenia.
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49
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Paulauskis JD, Blanc VM, Carey T, Chesla DW, Frey RC, Geddes T, Keats J, Loup A, Pruetz B, Rohrer DC, Valley DR, Tomlinson T, Akervall J, Wilson GD, Jewell SD. Great Lakes Biorepository Research Network's Annual Biobanking Symposium: A Focus on Precision Medicine. Biopreserv Biobank 2019; 17:598-602. [PMID: 31211591 DOI: 10.1089/bio.2019.0022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Joseph D Paulauskis
- Central Biorepository, University of Michigan Medical School, Ann Arbor, Michigan
| | - Victoria M Blanc
- Central Biorepository, University of Michigan Medical School, Ann Arbor, Michigan
| | - Thomas Carey
- Central Biorepository, University of Michigan Medical School, Ann Arbor, Michigan
| | - David W Chesla
- Spectrum Health System, Spectrum Health Universal Biorepository, Grand Rapids, Michigan
| | - Renée C Frey
- Central Biorepository, University of Michigan Medical School, Ann Arbor, Michigan
| | - Timothy Geddes
- Beaumont Biobank, Beaumont Hospital, Royal Oak, Michigan
| | - Jonathan Keats
- Department of Integrated Cancer Genomics, Translational Genomics Institute, Phoenix, Arizona
| | - Allan Loup
- Central Biorepository, University of Michigan Medical School, Ann Arbor, Michigan
| | - Barbara Pruetz
- Beaumont Biobank, Beaumont Hospital, Royal Oak, Michigan
| | - Daniel C Rohrer
- Pathology and Biorepository Core, Van Andel Institute, Grand Rapids, Michigan
| | - Dana R Valley
- Pathology and Biorepository Core, Van Andel Institute, Grand Rapids, Michigan
| | - Tom Tomlinson
- Philosophy Department, Michigan State University, Lansing, Michigan
| | - Jan Akervall
- Beaumont Biobank, Beaumont Hospital, Royal Oak, Michigan.,Department of Surgery, Saint Joseph Mercy Hospital, Ann Arbor, Michigan
| | | | - Scott D Jewell
- Pathology and Biorepository Core, Van Andel Institute, Grand Rapids, Michigan
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50
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Hooker SE, Woods-Burnham L, Bathina M, Lloyd S, Gorjala P, Mitra R, Nonn L, Kimbro KS, Kittles RA. Genetic Ancestry Analysis Reveals Misclassification of Commonly Used Cancer Cell Lines. Cancer Epidemiol Biomarkers Prev 2019; 28:1003-1009. [PMID: 30787054 PMCID: PMC6548687 DOI: 10.1158/1055-9965.epi-18-1132] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 12/20/2018] [Accepted: 02/14/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Given the scarcity of cell lines from underrepresented populations, it is imperative that genetic ancestry for these cell lines is characterized. Consequences of cell line mischaracterization include squandered resources and publication retractions. METHODS We calculated genetic ancestry proportions for 15 cell lines to assess the accuracy of previous race/ethnicity classification and determine previously unknown estimates. DNA was extracted from cell lines and genotyped for ancestry informative markers representing West African (WA), Native American (NA), and European (EUR) ancestry. RESULTS Of the cell lines tested, all previously classified as White/Caucasian were accurately described with mean EUR ancestry proportions of 97%. Cell lines previously classified as Black/African American were not always accurately described. For instance, the 22Rv1 prostate cancer cell line was recently found to carry mixed genetic ancestry using a much smaller panel of markers. However, our more comprehensive analysis determined the 22Rv1 cell line carries 99% EUR ancestry. Most notably, the E006AA-hT prostate cancer cell line, classified as African American, was found to carry 92% EUR ancestry. We also determined the MDA-MB-468 breast cancer cell line carries 23% NA ancestry, suggesting possible Afro-Hispanic/Latina ancestry. CONCLUSIONS Our results suggest predominantly EUR ancestry for the White/Caucasian-designated cell lines, yet high variance in ancestry for the Black/African American-designated cell lines. In addition, we revealed an extreme misclassification of the E006AA-hT cell line. IMPACT Genetic ancestry estimates offer more sophisticated characterization leading to better contextualization of findings. Ancestry estimates should be provided for all cell lines to avoid erroneous conclusions in disparities literature.
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Affiliation(s)
- Stanley E Hooker
- Division of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California
| | - Leanne Woods-Burnham
- Division of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California
| | - Madhavi Bathina
- Division of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California
| | - Stacy Lloyd
- Department of Molecular and Cellular Biology and Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas
| | - Priyatham Gorjala
- College of Medicine, Roseman University of Health Sciences, Las Vegas, Nevada
| | - Ranjana Mitra
- College of Medicine, Roseman University of Health Sciences, Las Vegas, Nevada
| | - Larisa Nonn
- The Department of Pathology, University of Illinois, Chicago, Illinois
| | - K Sean Kimbro
- Biomedical/Biotechnology Research Institute (BBRI), North Carolina Central University, Durham, North Carolina
| | - Rick A Kittles
- Division of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California.
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