1
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Visconti A, Rossi N, Bondt A, Ederveen AH, Thareja G, Koeleman CAM, Stephan N, Halama A, Lomax-Browne HJ, Pickering MC, Zhou XJ, Wuhrer M, Suhre K, Falchi M. The genetics and epidemiology of N- and O-immunoglobulin A glycomics. Genome Med 2024; 16:96. [PMID: 39123268 PMCID: PMC11312925 DOI: 10.1186/s13073-024-01369-6] [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: 01/13/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Immunoglobulin (Ig) glycosylation modulates the immune response and plays a critical role in ageing and diseases. Studies have mainly focused on IgG glycosylation, and little is known about the genetics and epidemiology of IgA glycosylation. METHODS We generated, using a novel liquid chromatography-mass spectrometry method, the first large-scale IgA glycomics dataset in serum from 2423 twins, encompassing 71 N- and O-glycan species. RESULTS We showed that, despite the lack of a direct genetic template, glycosylation is highly heritable, and that glycopeptide structures are sex-specific, and undergo substantial changes with ageing. We observe extensive correlations between the IgA and IgG glycomes, and, exploiting the twin design, show that they are predominantly influenced by shared genetic factors. A genome-wide association study identified eight loci associated with both the IgA and IgG glycomes (ST6GAL1, ELL2, B4GALT1, ABCF2, TMEM121, SLC38A10, SMARCB1, and MGAT3) and two novel loci specifically modulating IgA O-glycosylation (C1GALT1 and ST3GAL1). Validation of our findings in an independent cohort of 320 individuals from Qatar showed that the underlying genetic architecture is conserved across ancestries. CONCLUSIONS Our study delineates the genetic landscape of IgA glycosylation and provides novel potential functional links with the aetiology of complex immune diseases, including genetic factors involved in IgA nephropathy risk.
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Affiliation(s)
- Alessia Visconti
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Center for Biostatistics, Epidemiology and Public Health, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Niccolò Rossi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Albert Bondt
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Agnes Hipgrave Ederveen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Gaurav Thareja
- Department of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Carolien A M Koeleman
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Nisha Stephan
- Department of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Anna Halama
- Department of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Hannah J Lomax-Browne
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, UK
| | - Matthew C Pickering
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, UK
| | - Xu-Jie Zhou
- Renal Division, Peking University First Hospital, Beijing, China
- Peking University Institute of Nephrology, Beijing, China
- Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Ministry of Education, Peking University, Beijing, China
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Karsten Suhre
- Department of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Mario Falchi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
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2
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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 DOI: 10.1038/s41467-024-50932-7] [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: 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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Abu El-Hamd M, Abdel-Hamid S, Hamdy AT, Abdelhamed A. Increased serum ATG5 as a marker of autophagy in psoriasis vulgaris patients: a cross-sectional study. Arch Dermatol Res 2024; 316:491. [PMID: 39066827 DOI: 10.1007/s00403-024-03219-2] [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: 05/24/2024] [Revised: 06/16/2024] [Accepted: 07/06/2024] [Indexed: 07/30/2024]
Abstract
Psoriasis (PsO) is a prevalent chronic inflammatory skin disease. It is a complex condition that is affected by environmental and hereditary variables. Numerous pathogens, including viruses, bacteria, and even fungi, have been linked to PsO. One of the mechanisms that clears infections is autophagy. The mechanism by which a cell feeds itself is called autophagy by reusing cytoplasmic components in the lysosome. The autophagy-related (ATG) proteins are essential components of the system that control the strictly regulated process of autophagy. Among these 41 proteins, ATG5 is one that is required in order for autophagic vesicles to develop. This research aimed to compare ATG5 levels in serum among those suffering from psoriasis vulgaris and healthy controls. This cross-sectional research was carried out on 45 individuals with vulgaris psoriasis and 45 healthy, sex and age-matched control subjects. All participants underwent a clinical examination, a laboratory investigation, and a history taking, including lipid profiles and serum ATG5. The mean age of the control and PsO were 40.6 ± 9.6, and 43.7 ± 9.3 years respectively. The mean total PASI score was 13.9 ± 8.9, with a median of 11.7 (8.8). According to the PASI score, about 38% (n = 17) had mild disease (PASI < 10), and about 62% (n = 28) had moderate/severe disease (PASI ≥ 10). There was a significantly higher median (IQR) (25th-75th) ATG5 level in PsO 206 (97) (145-242) ng/ml than in the control 147 (98) (111-209) ng/ml (p = 0.002). An insignificant higher median level (IQR) was observed in PsO with mild disease 207(95) compared with those with moderate/severe disease 183(98.5) (p = 0.057). Dissimilarly, the median (IQR) ATG5 level was significantly lower in PsO individuals with metabolic syndrome 170(72) compared with those without 207(104) (p = 0.044). Four predictors were identified following sex and age adjustments, in the final linear regression model: PASI score, triglyceride, High-Density Lipoprotein, and presence of metabolic syndrome. There can be a connection between autophagy as measured by ATG5 and psoriasis vulgaris. ATG5 was elevated in the serum of individuals with psoriasis vulgaris. However, it decreased in patients with metabolic syndrome. No relation was found between serum ATG5 and PASI score. Psoriasis vulgaris patients may benefit from using an autophagy enhancer as a potential treatment target.
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Affiliation(s)
- Mohammed Abu El-Hamd
- Dermatology, Venereology and Andrology Department, Faculty of Medicine, Sohag University, Sohag, Egypt
| | - Soheir Abdel-Hamid
- Dermatology, Venereology and Andrology Department, Faculty of Medicine, South Valley University, Qena, Egypt.
| | - Aya-Tollah Hamdy
- Dermatology, Venereology and Andrology Department, Faculty of Medicine, Sohag University, Sohag, Egypt
| | - Amr Abdelhamed
- Dermatology, Venereology and Andrology Department, Faculty of Medicine, Sohag University, Sohag, Egypt
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4
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Malard F, Neri P, Bahlis NJ, Terpos E, Moukalled N, Hungria VTM, Manier S, Mohty M. Multiple myeloma. Nat Rev Dis Primers 2024; 10:45. [PMID: 38937492 DOI: 10.1038/s41572-024-00529-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/16/2024] [Indexed: 06/29/2024]
Abstract
Multiple myeloma (MM) is a haematological lymphoid malignancy involving tumoural plasma cells and is usually characterized by the presence of a monoclonal immunoglobulin protein. MM is the second most common haematological malignancy, with an increasing global incidence. It remains incurable because most patients relapse or become refractory to treatments. MM is a genetically complex disease with high heterogeneity that develops as a multistep process, involving acquisition of genetic alterations in the tumour cells and changes in the bone marrow microenvironment. Symptomatic MM is diagnosed using the International Myeloma Working Group criteria as a bone marrow infiltration of ≥10% clonal plasma cells, and the presence of at least one myeloma-defining event, either standard CRAB features (hypercalcaemia, renal failure, anaemia and/or lytic bone lesions) or biomarkers of imminent organ damage. Younger and fit patients are considered eligible for transplant. They receive an induction, followed by consolidation with high-dose melphalan and autologous haematopoietic cell transplantation, and maintenance therapy. In older adults (ineligible for transplant), the combination of daratumumab, lenalidomide and dexamethasone is the preferred option. If relapse occurs and requires further therapy, the choice of therapy will be based on previous treatment and response and now includes immunotherapies, such as bi-specific monoclonal antibodies and chimeric antigen receptor T cell therapy.
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Affiliation(s)
- Florent Malard
- Sorbonne Université, Centre de Recherche Saint-Antoine INSERM UMRs938, Service d'Hématologie Clinique et de Thérapie Cellulaire, Hôpital Saint Antoine, AP-HP, Paris, France.
| | - Paola Neri
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Nizar J Bahlis
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Evangelos Terpos
- Department of Clinical Therapeutics, Alexandra General Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Nour Moukalled
- Bone Marrow Transplantation Program, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | | | - Salomon Manier
- Department of Hematology, Lille University Hospital and INSERM UMR-S1277 and CNRS UMR9020, Lille, France
| | - Mohamad Mohty
- Sorbonne Université, Centre de Recherche Saint-Antoine INSERM UMRs938, Service d'Hématologie Clinique et de Thérapie Cellulaire, Hôpital Saint Antoine, AP-HP, Paris, France.
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5
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Dixon P, Martin RM, Harrison S. Causal Estimation of Long-term Intervention Cost-effectiveness Using Genetic Instrumental Variables: An Application to Cancer. Med Decis Making 2024; 44:283-295. [PMID: 38426435 PMCID: PMC10988994 DOI: 10.1177/0272989x241232607] [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: 07/29/2023] [Accepted: 01/23/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND This article demonstrates a means of assessing long-term intervention cost-effectiveness in the absence of data from randomized controlled trials and without recourse to Markov simulation or similar types of cohort simulation. METHODS Using a Mendelian randomization study design, we developed causal estimates of the genetically predicted effect of bladder, breast, colorectal, lung, multiple myeloma, ovarian, prostate, and thyroid cancers on health care costs and quality-adjusted life-years (QALYs) using outcome data drawn from the UK Biobank cohort. We then used these estimates in a simulation model to estimate the cost-effectiveness of a hypothetical population-wide preventative intervention based on a repurposed class of antidiabetic drugs known as sodium-glucose cotransporter-2 (SGLT2) inhibitors very recently shown to reduce the odds of incident prostate cancer. RESULTS Genetic liability to prostate cancer and breast cancer had material causal impacts on either or both health care costs and QALYs. Mendelian randomization results for the less common cancers were associated with considerable uncertainty. SGLT2 inhibition was unlikely to be a cost-effective preventative intervention for prostate cancer, although this conclusion depended on the price at which these drugs would be offered for a novel anticancer indication. IMPLICATIONS Our new causal estimates of cancer exposures on health economic outcomes may be used as inputs into decision-analytic models of cancer interventions such as screening programs or simulations of longer-term outcomes associated with therapies investigated in randomized controlled trials with short follow-ups. Our method allowed us to rapidly and efficiently estimate the cost-effectiveness of a hypothetical population-scale anticancer intervention to inform and complement other means of assessing long-term intervention value. HIGHLIGHTS The article demonstrates a novel method of assessing long-term intervention cost-effectiveness without relying on randomized controlled trials or cohort simulations.Mendelian randomization was used to estimate the causal effects of certain cancers on health care costs and quality-adjusted life-years (QALYs) using data from the UK Biobank cohort.Given causal data on the association of different cancer exposures on costs and QALYs, it was possible to simulate the cost-effectiveness of an anticancer intervention.Genetic liability to prostate cancer and breast cancer significantly affected health care costs and QALYs, but the hypothetical intervention using SGLT2 inhibitors for prostate cancer may not be cost-effective, depending on the drug's price for the new anticancer indication. The methods we propose and implement can be used to efficiently estimate intervention cost-effectiveness and to inform decision making in all manner of preventative and therapeutic contexts.
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Affiliation(s)
- Padraig Dixon
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Richard M. Martin
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Sean Harrison
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- UK Health Security Agency
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Li M, Zhang CL, Zhou DS, Chan SH, Liu XQ, Chen SN, Yang ZY, Ju FE, Sang XY, Liu ZX, Zhang QX, Pan YM, Deng SS, Wang XM, Zhong L, Zhang XD, Du X. Identification of COQ2 as a regulator of proliferation and lipid peroxidation through genome-scale CRISPR-Cas9 screening in myeloma cells. Br J Haematol 2024; 204:1307-1324. [PMID: 38462771 DOI: 10.1111/bjh.19375] [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: 09/01/2023] [Revised: 02/14/2024] [Accepted: 02/20/2024] [Indexed: 03/12/2024]
Abstract
Multiple myeloma (MM) is the second most common malignant haematological disease with a poor prognosis. The limit therapeutic progress has been made in MM patients with cancer relapse, necessitating deeper research into the molecular mechanisms underlying its occurrence and development. A genome-wide CRISPR-Cas9 loss-of-function screening was utilized to identify potential therapeutic targets in our research. We revealed that COQ2 plays a crucial role in regulating MM cell proliferation and lipid peroxidation (LPO). Knockout of COQ2 inhibited cell proliferation, induced cell cycle arrest and reduced tumour growth in vivo. Mechanistically, COQ2 promoted the activation of the MEK/ERK cascade, which in turn stabilized and activated MYC protein. Moreover, we found that COQ2-deficient MM cells increased sensitivity to the LPO activator, RSL3. Using an inhibitor targeting COQ2 by 4-CBA enhanced the sensitivity to RSL3 in primary CD138+ myeloma cells and in a xenograft mouse model. Nevertheless, co-treatment of 4-CBA and RSL3 induced cell death in bortezomib-resistant MM cells. Together, our findings suggest that COQ2 promotes cell proliferation and tumour growth through the activation of the MEK/ERK/MYC axis and targeting COQ2 could enhance the sensitivity to ferroptosis in MM cells, which may be a promising therapeutic strategy for the treatment of MM patients.
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Affiliation(s)
- Miao Li
- Department of Dermatovenereology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Department of Gynecology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
| | - Chang-Lin Zhang
- Department of Dermatovenereology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Department of Gynecology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Di-Sheng Zhou
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Sze-Hoi Chan
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Xue-Qi Liu
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Shu-Na Chen
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Zi-Yi Yang
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Fei-Er Ju
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Xiao-Yan Sang
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Zi-Xuan Liu
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Qiao-Xia Zhang
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
| | - Yu-Ming Pan
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
| | - Si-Si Deng
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
| | - Xiao-Mei Wang
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
| | - Li Zhong
- Department of Dermatovenereology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Department of Gynecology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Xing-Ding Zhang
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Xin Du
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
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7
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Liu H, Chan S, Li M, Chen S. Cuproptosis-Related Gene Signature Contributes to Prognostic Prediction and Immunosuppression in Multiple Myeloma. Mol Biotechnol 2024; 66:475-488. [PMID: 37213025 DOI: 10.1007/s12033-023-00770-7] [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: 01/14/2023] [Accepted: 05/08/2023] [Indexed: 05/23/2023]
Abstract
Cuproptosis is a type of programmed cell death triggered by accumulation of intracellular copper which was considered closely related to tumor progression. The study of cuproptosis in multiple myeloma (MM) is however limited. To determine the prognostic significance of cuproptosis-related gene signature in MM, we interrogated gene expression and overall survival with other available clinical variables from public datasets. Four cuproptosis-related genes were included to establish a prognostic survival model by least absolute shrinkage and selection operator (LASSO) Cox regression analysis, which showed a good performance on prognosis prediction in both training and validation cohorts. Patients with higher cuproptosis-related risk score (CRRS) exhibited worse prognosis compared with lower risk score. Survival prediction capacity and clinical benefit were elevated after integrating CRRS to existing prognostic stratification system (International Staging System, ISS or Revised International Staging System, RISS) both on 3-year and 5-year survival. Based on CRRS groups, functional enrichment analysis and immune infiltration in bone marrow microenvironment revealed correlation between CRRS and immunosuppression. In conclusion, our study found that cuproptosis-related gene signature is an independent poor prognostic factor and functions negatively on immune microenvironment, which provides another perspective on prognosis assessment and immunotherapy strategy in MM.
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Affiliation(s)
- Huixin Liu
- Department of Hematopathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58, Zhongshan 2Nd Road, Guangzhou, 510080, China.
| | - Szehoi Chan
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
| | - Miao Li
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
| | - Shuna Chen
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
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8
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Tamai K, Hirose H, Akazawa Y, Yoshikawa Y, Nomura M, Takeyama H, Tokunaga M, Tei M, Okamura S, Akamaru Y. Three-year progression-free survival of a patient with concomitant mucinous adenocarcinoma of the colon with peritoneal dissemination and multiple myeloma who received lenalidomide: a case report. Surg Case Rep 2024; 10:34. [PMID: 38324080 PMCID: PMC10850042 DOI: 10.1186/s40792-024-01838-5] [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: 12/19/2023] [Accepted: 02/04/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Concomitant multiple myeloma (MM) and other primary malignancies is rare. Therefore, the treatment outcomes of patients with these conditions have not been well discussed. Lenalidomide is an oral thalidomide analog drug used for MM. Recently, the antitumor effect of lenalidomide has been gaining attention, and lenalidomide has been applied for managing solid tumors. The current case showed the treatment course of a patient treated with lenalidomide for concomitant MM and colon cancer with peritoneal dissemination. CASE PRESENTATION A 74-year-old female patient receiving treatment for MM was diagnosed with mucinous adenocarcinoma of the transverse colon. The patient was clinically diagnosed with stage IIIC T4aN2M0 disease. Subsequently, laparoscopic colectomy with lymph node dissection was planned. However, intraperitoneal observation revealed peritoneal dissemination that had sporadically and widely spread. Therefore, palliative partial colectomy was performed to prevent future hemorrhage or obstruction. The patient was discharged on the 10th postoperative day without postoperative complication. Based on the patient's preference, lenalidomide was continually administered for MM without systemic chemotherapy. The patient survived for > 36 months without any signs of tumor progression. CONCLUSION The current case first showed the treatment course of concomitant MM and colon cancer. The antitumor effect of lenalidomide can possibly contribute to 3-year progression-free survival in patients with mucinous adenocarcinoma of the colon with peritoneal dissemination.
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Affiliation(s)
- Koki Tamai
- Department of Gastroenterological Surgery, Osaka Rosai Hospital, 1179-3 Nagasone-Kitaku, Sakai, Osaka, 591-8025, Japan
- Department of Surgery, Suita Municipal Hospital, Kishibeshinmachi 5-7, Suita City, Osaka, 564-8567, Japan
| | - Hajime Hirose
- Department of Surgery, Suita Municipal Hospital, Kishibeshinmachi 5-7, Suita City, Osaka, 564-8567, Japan.
| | - Yo Akazawa
- Department of Surgery, Suita Municipal Hospital, Kishibeshinmachi 5-7, Suita City, Osaka, 564-8567, Japan
| | - Yukihiro Yoshikawa
- Department of Gastroenterological Surgery, Osaka Rosai Hospital, 1179-3 Nagasone-Kitaku, Sakai, Osaka, 591-8025, Japan
| | - Masatoshi Nomura
- Department of Gastroenterological Surgery, Osaka Rosai Hospital, 1179-3 Nagasone-Kitaku, Sakai, Osaka, 591-8025, Japan
| | - Hiroshi Takeyama
- Department of Surgery, Suita Municipal Hospital, Kishibeshinmachi 5-7, Suita City, Osaka, 564-8567, Japan
| | - Masahiro Tokunaga
- Department of Hematology, Suita Municipal Hospital, Kishibeshinmachi 5-7, Suita City, Osaka, 564-8567, Japan
| | - Mitsuyoshi Tei
- Department of Gastroenterological Surgery, Osaka Rosai Hospital, 1179-3 Nagasone-Kitaku, Sakai, Osaka, 591-8025, Japan
| | - Shu Okamura
- Department of Surgery, Suita Municipal Hospital, Kishibeshinmachi 5-7, Suita City, Osaka, 564-8567, Japan
| | - Yusuke Akamaru
- Department of Gastroenterological Surgery, Osaka Rosai Hospital, 1179-3 Nagasone-Kitaku, Sakai, Osaka, 591-8025, Japan
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9
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Yu M, Ming H, Xia M, Fu J, Cai Z, Cui X. Identification of an angiogenesis-related risk score model for survival prediction and immunosubtype screening in multiple myeloma. Aging (Albany NY) 2024; 16:2657-2678. [PMID: 38319724 PMCID: PMC10911366 DOI: 10.18632/aging.205502] [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: 09/26/2023] [Accepted: 12/27/2023] [Indexed: 02/08/2024]
Abstract
BACKGROUND Multiple myeloma (MM) is an incurable B-cell malignancy, but with the emergence of immunotherapy, a potential cure is hopeful. The individualized interaction between the tumor and bone marrow (BM) microenvironment determines the response to immunotherapy. Angiogenesis is a constant hallmark of the BM microenvironment in MM. However, little is known about the potency ability of angiogenesis-associated genes (AAGs) to regulate the immune microenvironment of MM patients. METHODS We comprehensively dissected the associations between angiogenesis and genomic landscapes, prognosis, and the immune microenvironment by integrating 36 AAGs. Immunohistochemistry was performed to verify the correlation between angiogenic factor expression and patient prognosis. Single-sample gene set enrichment analysis was applied to quantify the relative abundance of 28 infiltrating cells. The AAG score was constructed using the least absolute shrinkage and selection operator Cox regression model. RESULTS Angiogenesis was closely correlated with MM patient prognosis, and the mutation intensity of the AAGs was low. Immunohistochemistry confirmed that high microvessel density predicted poor prognosis. Three AAG clusters and two gene clusters with distinct clinical outcomes and immune characteristics were identified. The established AAG_score model performed well in predicting patient prognosis and active immunotherapy response. The high-AAG_score subgroup was characterized by reduced immune cell infiltration, poor prognosis, and inactive immunotherapy response. Multivariate analyses indicated that the AAG_score was strongly robust and independent among the prognostic variables. CONCLUSION This study revealed that angiogenesis is significantly related to MM patient prognosis and immune phenotype. Evaluating the AAG signature was conducive to predicting patient response to immunotherapy and guiding more efficacious immunotherapy strategies.
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Affiliation(s)
- Manya Yu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Hongquan Ming
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Mengting Xia
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Jiaqi Fu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Zhiguo Cai
- Department of Quality Control, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Xing Cui
- Department of Oncology and Hematology, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250001, China
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10
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Buradagunta CS, Arsang-Jang S, Massat B, Thapa B, Patek V, D'Souza A, Auer P, Urrutia R, Janz S, Dhakal B, Hari P, Dong J. Identification of novel loci for multiple myeloma when comparing with its precursor condition monoclonal gammopathy of unknown significance. Leukemia 2024; 38:383-385. [PMID: 37919604 PMCID: PMC11326531 DOI: 10.1038/s41375-023-02078-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 10/23/2023] [Accepted: 10/27/2023] [Indexed: 11/04/2023]
Affiliation(s)
| | - Shahram Arsang-Jang
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Ben Massat
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Bicky Thapa
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Victoria Patek
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Anita D'Souza
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Paul Auer
- Division of Biostatistics, Institute for Health & Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Raul Urrutia
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Siegfried Janz
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Binod Dhakal
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Parameswaran Hari
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Jing Dong
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
- Medical College of Wisconsin Cancer Center, Milwaukee, WI, USA.
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11
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Rögnvaldsson S, Thorsteinsdóttir S, Kristinsson SY. Screening in Multiple Myeloma and Its Precursors: Are We There Yet? Clin Chem 2024; 70:128-139. [PMID: 38175579 DOI: 10.1093/clinchem/hvad148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/05/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Multiple myeloma (MM) is a hematological malignancy that develops over years from the asymptomatic precursors, monoclonal gammopathy of undetermined significance, and smoldering multiple myeloma. Recent evidence shows that by initiating treatment at an asymptomatic stage, outcomes in MM can be significantly improved. However, a vast majority of MM patients are diagnosed after the development of symptomatic end-organ damage and cannot reap the benefits of early treatment. The precursors of MM are easily detected by serum protein electrophoresis and free light chain assay of the serum, raising the question of whether population-based screening could detect MM at an asymptomatic stage and significantly expand the availability of early treatment in MM. Screening is a hallmark of care in many malignancies, and there are accepted criteria for when screening is appropriate. CONTENT Here we review the available relevant evidence for the introduction of screening and discuss whether screening for MM and its precursors fulfills these criteria. We also highlight gaps in our current knowledge, most notably a lack of data on the benefits and harms of screening and the lack of a defined target population. There are ongoing studies that may fill these critical gaps in the literature, but their results are still pending. SUMMARY Screening could lead to a paradigm shift in the care of patients with MM, but critical scientific questions need to be answered before screening of healthy individuals can be recommended. In short, we should not screen for MM and its precursors-yet.
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Affiliation(s)
- Sæmundur Rögnvaldsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali-The National University Hospital of Iceland, Reykjavík, Iceland
| | - Sigrún Thorsteinsdóttir
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
| | - Sigurður Yngvi Kristinsson
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Landspítali-The National University Hospital of Iceland, Reykjavík, Iceland
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12
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Rebbeck T, Janivara R, Chen W, Hazra U, Baichoo S, Agalliu I, Kachambwa P, Simonti C, Brown L, Tambe S, Kim M, Harlemon M, Jalloh M, Muzondiwa D, Naidoo D, Ajayi O, Snyper N, Niang L, Diop H, Ndoye M, Mensah J, Darkwa-Abrahams A, Biritwum R, Adjei A, Adebiyi A, Shittu O, Ogunbiyi O, Adebayo S, Nwegbu M, Ajibola H, Oluwole O, Jamda M, Pentz A, Haiman C, Spies P, Van der Merwe A, Cook M, Chanock SJ, Berndt SI, Watya S, Lubwama A, Muchengeti M, Doherty S, Smyth N, Lounsbury D, Fortier B, Rohan T, Jacobson J, Neugut A, Hsing A, Gusev A, Aisuodionoe-Shadrach O, Joffe M, Adusei B, Gueye S, Fernandez P, McBride J, Andrews C, Petersen L, Lachance J. Heterogeneous genetic architectures and evolutionary genomics of prostate cancer in Sub-Saharan Africa. RESEARCH SQUARE 2023:rs.3.rs-3378303. [PMID: 37886553 PMCID: PMC10602179 DOI: 10.21203/rs.3.rs-3378303/v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Men of African descent have the highest prostate cancer (CaP) incidence and mortality rates, yet the genetic basis of CaP in African men has been understudied. We used genomic data from 3,963 CaP cases and 3,509 controls recruited in Ghana, Nigeria, Senegal, South Africa, and Uganda, to infer ancestry-specific genetic architectures and fine-mapped disease associations. Fifteen independent associations at 8q24.21, 6q22.1, and 11q13.3 reached genome-wide significance, including four novel associations. Intriguingly, multiple lead SNPs are private alleles, a pattern arising from recent mutations and the out-of-Africa bottleneck. These African-specific alleles contribute to haplotypes with odds ratios above 2.4. We found that the genetic architecture of CaP differs across Africa, with effect size differences contributing more to this heterogeneity than allele frequency differences. Population genetic analyses reveal that African CaP associations are largely governed by neutral evolution. Collectively, our findings emphasize the utility of conducting genetic studies that use diverse populations.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Maxwell Nwegbu
- University of Abuja Teaching Hospital and Cancer Science Center
| | - Hafees Ajibola
- University of Abuja Teaching Hospital and Cancer Science Center
| | - Olabode Oluwole
- University of Abuja and University of Abuja Teaching Hospital
| | - Mustapha Jamda
- University of Abuja Teaching Hospital and Cancer Science Center
| | | | | | | | | | | | | | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda
| | | | | | - Mazvita Muchengeti
- National Institute for Communicable Diseases a Division of the National Health Laboratory Service
| | | | | | | | | | | | | | | | - Ann Hsing
- Stanford University School of Medicine
| | | | | | | | | | | | | | - Jo McBride
- Centre for Proteomic and Genomic Research
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13
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Clavero E, Sanchez-Maldonado JM, Macauda A, Ter Horst R, Sampaio-Marques B, Jurczyszyn A, Clay-Gilmour A, Stein A, Hildebrandt MAT, Weinhold N, Buda G, García-Sanz R, Tomczak W, Vogel U, Jerez A, Zawirska D, Wątek M, Hofmann JN, Landi S, Spinelli JJ, Butrym A, Kumar A, Martínez-López J, Galimberti S, Sarasquete ME, Subocz E, Iskierka-Jażdżewska E, Giles GG, Rybicka-Ramos M, Kruszewski M, Abildgaard N, Verdejo FG, Sánchez Rovira P, da Silva Filho MI, Kadar K, Razny M, Cozen W, Pelosini M, Jurado M, Bhatti P, Dudzinski M, Druzd-Sitek A, Orciuolo E, Li Y, Norman AD, Zaucha JM, Reis RM, Markiewicz M, Rodríguez Sevilla JJ, Andersen V, Jamroziak K, Hemminki K, Berndt SI, Rajkumar V, Mazur G, Kumar SK, Ludovico P, Nagler A, Chanock SJ, Dumontet C, Machiela MJ, Varkonyi J, Camp NJ, Ziv E, Vangsted AJ, Brown EE, Campa D, Vachon CM, Netea MG, Canzian F, Försti A, Sainz J. Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers for Multiple Myeloma: A Meta-Analysis of Three Large Cohorts and Functional Characterization. Int J Mol Sci 2023; 24:ijms24108500. [PMID: 37239846 DOI: 10.3390/ijms24108500] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 04/10/2023] [Accepted: 04/21/2023] [Indexed: 05/28/2023] Open
Abstract
Multiple myeloma (MM) arises following malignant proliferation of plasma cells in the bone marrow, that secrete high amounts of specific monoclonal immunoglobulins or light chains, resulting in the massive production of unfolded or misfolded proteins. Autophagy can have a dual role in tumorigenesis, by eliminating these abnormal proteins to avoid cancer development, but also ensuring MM cell survival and promoting resistance to treatments. To date no studies have determined the impact of genetic variation in autophagy-related genes on MM risk. We performed meta-analysis of germline genetic data on 234 autophagy-related genes from three independent study populations including 13,387 subjects of European ancestry (6863 MM patients and 6524 controls) and examined correlations of statistically significant single nucleotide polymorphisms (SNPs; p < 1 × 10-9) with immune responses in whole blood, peripheral blood mononuclear cells (PBMCs), and monocyte-derived macrophages (MDM) from a large population of healthy donors from the Human Functional Genomic Project (HFGP). We identified SNPs in six loci, CD46, IKBKE, PARK2, ULK4, ATG5, and CDKN2A associated with MM risk (p = 4.47 × 10-4-5.79 × 10-14). Mechanistically, we found that the ULK4rs6599175 SNP correlated with circulating concentrations of vitamin D3 (p = 4.0 × 10-4), whereas the IKBKErs17433804 SNP correlated with the number of transitional CD24+CD38+ B cells (p = 4.8 × 10-4) and circulating serum concentrations of Monocyte Chemoattractant Protein (MCP)-2 (p = 3.6 × 10-4). We also found that the CD46rs1142469 SNP correlated with numbers of CD19+ B cells, CD19+CD3- B cells, CD5+IgD- cells, IgM- cells, IgD-IgM- cells, and CD4-CD8- PBMCs (p = 4.9 × 10-4-8.6 × 10-4) and circulating concentrations of interleukin (IL)-20 (p = 0.00082). Finally, we observed that the CDKN2Ars2811710 SNP correlated with levels of CD4+EMCD45RO+CD27- cells (p = 9.3 × 10-4). These results suggest that genetic variants within these six loci influence MM risk through the modulation of specific subsets of immune cells, as well as vitamin D3-, MCP-2-, and IL20-dependent pathways.
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Affiliation(s)
- Esther Clavero
- Hematology Department, Virgen de las Nieves University Hospital, 18012 Granada, Spain
| | - José Manuel Sanchez-Maldonado
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain
- Instituto de Investigación Biosanataria IBs, Granada, 18014 Granada, Spain
| | - Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Rob Ter Horst
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria
| | - Belém Sampaio-Marques
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal
| | - Artur Jurczyszyn
- Plasma Cell Dyscrasias Center, Department of Hematology, Jagiellonian University Medical College, 31-066 Kraków, Poland
| | - Alyssa Clay-Gilmour
- Department of Biostatistics and Epidemiology, Arnold School of Public Health, University of South Carolina, Greenville, SC 29208, USA
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55902, USA
| | - Angelika Stein
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Michelle A T Hildebrandt
- Department of Lymphoma-Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Niels Weinhold
- Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- Department of Internal Medicine V, University of Heidelberg, 69120 Heidelberg, Germany
| | - Gabriele Buda
- Haematology Unit, Department of Clinical and Experimental Medicine, University of Pisa/AOUP, 56126 Pisa, Italy
| | - Ramón García-Sanz
- Diagnostic Laboratory Unit in Hematology, University Hospital of Salamanca, IBSAL, CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Waldemar Tomczak
- Department of Hematooncology and Bone Marrow Transplantation, Medical University of Lublin, 20-059 Lublin, Poland
| | - Ulla Vogel
- National Research Centre for the Working Environment, DK-2100 Copenhagen, Denmark
| | - Andrés Jerez
- Department of Hematology, Experimental Hematology Unit, Vall d'Hebron Institute of Oncology (VHIO), University Hospital Vall d'Hebron, 08035 Barcelona, Spain
| | - Daria Zawirska
- Department of Hematology, University Hospital, 30-688 Kraków, Poland
| | - Marzena Wątek
- Holycross Medical Oncology Center, 25-735 Kielce, Poland
- Institute of Hematology and Transfusion Medicine, 00-791 Warsaw, Poland
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Stefano Landi
- Department of Biology, University of Pisa, 56126 Pisa, Italy
| | - John J Spinelli
- Division of Population Oncology, BC Cancer, Vancouver, BC V5Z 4E6, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Aleksandra Butrym
- Department of Cancer Prevention and Therapy, Wroclaw Medical University, 50-367 Wroclaw, Poland
- Alfred Sokolowski Specialist Hospital in Walbrzych Oncology Support Centre for Clinical Trials, 58-309 Walbrzych, Poland
| | - Abhishek Kumar
- Institute of Bioinformatics, International Technology Park, Bangalore 560066, India
- Manipal Academy of Higher Education (MAHE), Manipal 576104, India
| | | | - Sara Galimberti
- Haematology Unit, Department of Clinical and Experimental Medicine, University of Pisa/AOUP, 56126 Pisa, Italy
| | - María Eugenia Sarasquete
- Diagnostic Laboratory Unit in Hematology, University Hospital of Salamanca, IBSAL, CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Edyta Subocz
- Department of Hematology, Military Institute of Medicine, 04-141 Warsaw, Poland
| | | | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia
| | - Malwina Rybicka-Ramos
- Department of Hematology, Specialist Hospital No. 1 in Bytom, Academy of Silesia, Faculty of Medicine, 40-055 Katowice, Poland
| | - Marcin Kruszewski
- Department of Hematology, University Hospital No. 2, 85-168 Bydgoszcz, Poland
| | - Niels Abildgaard
- Department of Hematology, Odense University Hospital, DK-5000 Odense, Denmark
| | | | - Pedro Sánchez Rovira
- Department of Medical Oncology, Complejo Hospitalario de Jaén, 23007 Jaén, Spain
| | - Miguel Inacio da Silva Filho
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany
| | | | - Małgorzata Razny
- Department of Hematology, Rydygier Hospital, 31-826 Cracow, Poland
| | - Wendy Cozen
- Division of Hematology/Oncology, Department of Medicine, School of Medicine, Department of Pathology, School of Medicine, Susan and Henry Samueli College of Health Sciences, Chao Family Comprehensive Cancer Center, University of California at Irvine, Irvine, CA 92697, USA
| | - Matteo Pelosini
- U.O. Dipartimento di Ematologia, Azienda USL Toscana Nord Ovest, 57124 Livorno, Italy
| | - Manuel Jurado
- Hematology Department, Virgen de las Nieves University Hospital, 18012 Granada, Spain
- Instituto de Investigación Biosanataria IBs, Granada, 18014 Granada, Spain
- Department of Medicine, University of Granada, 18012 Granada, Spain
| | - Parveen Bhatti
- Cancer Control Research, BC Cancer, Vancouver, BC V5Z 4E6, Canada
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Marek Dudzinski
- Department of Hematology, Institute of Medical Sciences, College of Medical Sciences, University of Rzeszow, 35-310 Rzeszow, Poland
| | - Agnieszka Druzd-Sitek
- Department of Lymphoproliferative Diseases, Maria Skłodowska Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Enrico Orciuolo
- Haematology Unit, Department of Clinical and Experimental Medicine, University of Pisa/AOUP, 56126 Pisa, Italy
| | - Yang Li
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Centre for Individualised Infection Medicine (CiiM) & TWINCORE, Joint Ventures between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), 30625 Hannover, Germany
| | - Aaron D Norman
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55902, USA
- Genetic Epidemiology and Risk Assessment Program, Mayo Clinic Comprehensive Cancer Center, Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55902, USA
| | - Jan Maciej Zaucha
- Department of Hematology and Transplantology, Medical University of Gdansk, 80-210 Gdansk, Poland
| | - Rui Manuel Reis
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal and ICVS/3B's-PT Government Associate Laboratory, 4710-057 Braga/Guimarães, Portugal
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, Brazil
| | - Miroslaw Markiewicz
- Department of Hematology, Institute of Medical Sciences, College of Medical Sciences, University of Rzeszow, 35-310 Rzeszow, Poland
| | | | - Vibeke Andersen
- Molecular Diagnostics and Clinical Research Unit, Institute of Regional Health Research, University Hospital of Southern Denmark, DK-6200 Aabenraa, Denmark
| | - Krzysztof Jamroziak
- Department of Hematology, Transplantology and Internal Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Kari Hemminki
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, 30605 Pilsen, Czech Republic
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Vicent Rajkumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - Grzegorz Mazur
- Department of Internal Diseases, Occupational Medicine, Hypertension and Clinical Oncology, Wroclaw Medical University, 50-368 Wroclaw, Poland
| | - Shaji K Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - Paula Ludovico
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal
| | - Arnon Nagler
- Hematology Division, Chaim Sheba Medical Center, Tel Hashomer 52621, Israel
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Charles Dumontet
- UMR INSERM 1052/CNRS 5286, University of Lyon, Hospices Civils de Lyon, 69008 Lyon, France
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Nicola J Camp
- Division of Hematology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Elad Ziv
- Department of Medicine, University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94143, USA
| | - Annette Juul Vangsted
- Department of Hematology, Rigshospitalet, Copenhagen University, DK-2100 Copenhagen, Denmark
| | - Elizabeth E Brown
- Department of Pathology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Daniele Campa
- Department of Biology, University of Pisa, 56126 Pisa, Italy
| | - Celine M Vachon
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55902, USA
| | - Mihai G Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Department for Immunology & Metabolism, Life and Medical Sciences Institute (LIMES), University of Bonn, 53115 Bonn, Germany
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Asta Försti
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
- Hopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany
| | - Juan Sainz
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain
- Instituto de Investigación Biosanataria IBs, Granada, 18014 Granada, Spain
- Department of Biochemistry and Molecular Biology I, University of Granada, 18071 Granada, Spain
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14
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Gundry M, Sankaran VG. Hacking hematopoiesis - emerging tools for examining variant effects. Dis Model Mech 2023; 16:288409. [PMID: 36826849 PMCID: PMC9983777 DOI: 10.1242/dmm.049857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
Hematopoiesis is a continuous process of blood and immune cell production. It is orchestrated by thousands of gene products that respond to extracellular signals by guiding cell fate decisions to meet the needs of the organism. Although much of our knowledge of this process comes from work in model systems, we have learned a great deal from studies on human genetic variation. Considerable insight has emerged from studies on presumed monogenic blood disorders, which continue to provide key insights into the mechanisms critical for hematopoiesis. Furthermore, the emergence of large-scale biobanks and cohorts has uncovered thousands of genomic loci associated with blood cell traits and diseases. Some of these blood cell trait-associated loci act as modifiers of what were once thought to be monogenic blood diseases. However, most of these loci await functional validation. Here, we discuss the validation bottleneck and emerging methods to more effectively connect variant to function. In particular, we highlight recent innovations in genome editing, which have paved the path forward for high-throughput functional assessment of loci. Finally, we discuss existing barriers to progress, including challenges in manipulating the genomes of primary hematopoietic cells.
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Affiliation(s)
- Michael Gundry
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Vijay G. Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Author for correspondence ()
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15
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Guo D, Lu J, Ji H, Lin Z, Hong L, Huang H, Liu H. Increased expression of CEP72 predicts poor prognosis in multiple myeloma. Int J Lab Hematol 2023; 45:317-327. [PMID: 36782078 DOI: 10.1111/ijlh.14024] [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: 10/27/2022] [Accepted: 01/19/2023] [Indexed: 02/15/2023]
Abstract
INTRODUCTION Multiple myeloma (MM) is a fatal hematological malignancy and does not have adequate prognostic indicators. Previous studies indicate that CEP72 is closely related to tumorigenesis and tumor progression. However, the expression and function of CEP72 in multiple myeloma have yet to be elucidated. METHODS In this study, we explored the correlation between CEP72 expression and clinicopathological characteristics as well as the impacts of CEP72 expression on the survival of MM patients. In addition, PPI, GSEA and Chemotherapy drug resistance analysis identified the possible mechanism. RESULTS CEP72 is overexpressed in both MM patients and MM cell lines. Clinically, patients in the CEP72high subgroup were significantly older than those in the CEP72low subgroup (p = 0.003). Up-regulation of CEP72 was related to poor overall survival and event-free survival. PPI network showed that CEP72 was related to PCM1, KIZ, OFD1, etc. GSEA analysis showed that CEP72 was enriched in cell cycle, oocyte meiosis, protein export, lysosome and N-glycan biosynthesis pathways. Drug resistance analysis indicated that there was a positive correlation between the CEP72 expression and the IC50 values of 6-mercaptopurine, 8-chloro-adenosine, clofarabine, fludarabine and allopurinol. CONCLUSION High CEP72 expression was a poor prognostic factor in patients diagnosed with multiple myeloma.
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Affiliation(s)
- Dan Guo
- Department of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Department of Hematology, Affiliated Hospital of Nantong University, Nantong, China
| | - Jinfeng Lu
- Department of Hematology, Affiliated Hospital of Nantong University, Nantong University Medical school, Nantong, China
| | - Hao Ji
- Department of Urology, Tumor Hospital Affiliated to Nantong University, Nantong University, Nantong, China
| | - Zenghua Lin
- Department of Hematology, Affiliated Hospital of Nantong University, Nantong, China
| | - Lemin Hong
- Department of Hematology, Affiliated Hospital of Nantong University, Nantong, China
| | - Hongming Huang
- Department of Hematology, Affiliated Hospital of Nantong University, Nantong, China
| | - Hong Liu
- Department of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Department of Hematology, Affiliated Hospital of Nantong University, Nantong, China
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16
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Dumontet C, Demangel D, Galia P, Karlin L, Roche L, Fauvernier M, Golfier C, Laude M, Leleu X, Rodon P, Roussel M, Azaïs I, Doyen C, Slama B, Manier S, Decaux O, Pertesi M, Beaumont M, Caillot D, Boyle EM, Cliquennois M, Cony‐Makhoul P, Doncker A, Dorvaux V, Petillon MO, Fontan J, Hivert B, Leduc I, Leyronnas C, Macro M, Maigre M, Mariette C, Mineur P, Rigaudeau S, Royer B, Vincent L, Mckay J, Perrial E, Garderet L. Clinical characteristics and outcome of 318 families with familial monoclonal gammopathy: A multicenter Intergroupe Francophone du Myélome study. Am J Hematol 2023; 98:264-271. [PMID: 36588407 PMCID: PMC10107808 DOI: 10.1002/ajh.26785] [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: 04/05/2022] [Revised: 10/10/2022] [Accepted: 10/24/2022] [Indexed: 01/03/2023]
Abstract
Familial forms of monoclonal gammopathy, defined as multiple myeloma (MM) or Monoclonal Gammopathy of Undetermined Significance (MGUS), are relatively infrequent and most series reported in the literature describe a limited number of families. MM rarely occurs in a familial context. MGUS is observed much more commonly, which can in some cases evolve toward full-blown MM. Although recurrent cytogenetic abnormalities have been described in tumor cells of sporadic cases of MM, the pathogenesis of familial MM remains largely unexplained. In order to identify genetic factors predisposing to familial monoclonal gammopathy, the Intergroupe Francophone du Myélome identified 318 families with at least two confirmed cases of monoclonal gammopathy. There were 169 families with parent/child pairs and 164 families with cases in at least two siblings, compatible with an autosomal transmission. These familial cases were compared with sporadic cases who were matched for age at diagnosis, sex and immunoglobulin isotype, with 10 sporadic cases for each familial case. The gender distribution, age and immunoglobulin subtypes of familial cases were unremarkable in comparison to sporadic cases. With a median follow-up of 7.4 years after diagnosis, the percentage of MGUS cases having evolved to MM was 3%. The median overall survival of the 148 familial MM cases was longer than that of matched sporadic cases, with projected values of 7.6 and 16.1 years in patients older and younger than 65 years, respectively. These data suggest that familial cases of monoclonal gammopathy are similar to sporadic cases in terms of clinical presentation and carry a better prognosis.
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Affiliation(s)
- Charles Dumontet
- Hospices Civils de LyonLyonFrance
- CRCL, UMR INSERM 1052/CNRS 5286/University of Lyon‐FranceLyonFrance
| | | | | | | | | | | | | | | | | | | | | | | | | | - Borhane Slama
- Clinical Hematology DepartmentCH AvignonAvignonFrance
| | | | - Olivier Decaux
- Hematology DepartmentCHU Rennes, Inserm UMR1236RennesFrance
| | - Maroulio Pertesi
- Genetic Cancer Susceptibility, International Agency for Research on CancerLyonFrance
- Department of Laboratory MedicineHematology and Transfusion MedicineLundSweden
| | | | - Denis Caillot
- Clinical Hematology DepartmentHôpital F. Mitterrand, CHU DijonDijonFrance
| | - Eileen M. Boyle
- Perlmutter Cancer CenterNYU Langone HealthNew YorkNew YorkUSA
| | | | | | | | - Véronique Dorvaux
- Clinical Hematology DepartmentCHR Metz‐ThionvilleMetz‐ThionvilleFrance
| | | | - Jean Fontan
- Hematology DepartmentCHU BesançonBesançonFrance
| | | | | | | | | | - Michel Maigre
- Internal Medicine DepartmentCH ChartresChartresFrance
| | | | - Philippe Mineur
- Clinical Hematology DepartmentGrand Hôpital de CharleroiCharleroiBelgium
| | | | - Bruno Royer
- Clinical Hematology and Cell Therapy DepartmentAmiensFrance
| | | | - James Mckay
- Genetic Cancer Susceptibility, International Agency for Research on CancerLyonFrance
| | - Emeline Perrial
- CRCL, UMR INSERM 1052/CNRS 5286/University of Lyon‐FranceLyonFrance
| | - Laurent Garderet
- HU PITIE SALPETRIERE APHPParisFrance
- Centre de Recherche Saint‐Antoine‐Team Hematopoietic and Leukemic DevelopmentSorbonne Université‐INSERM, UMR_S 938ParisFrance
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17
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Dicanio M, Giaccherini M, Clay‐Gilmour A, Macauda A, Sainz J, Machiela MJ, Rybicka‐Ramos M, Norman AD, Tyczyńska A, Chanock SJ, Barington T, Kumar SK, Bhatti P, Cozen W, Brown EE, Suska A, Haastrup EK, Orlowski RZ, Dudziński M, Garcia‐Sanz R, Kruszewski M, Martinez‐Lopez J, Beider K, Iskierka‐Jazdzewska E, Pelosini M, Berndt SI, Raźny M, Jamroziak K, Rajkumar SV, Jurczyszyn A, Vangsted AJ, Collado PG, Vogel U, Hofmann JN, Petrini M, Butrym A, Slager SL, Ziv E, Subocz E, Giles GG, Andersen NF, Mazur G, Watek M, Lesueur F, Hildebrandt MAT, Zawirska D, Ebbesen LH, Marques H, Gemignani F, Dumontet C, Várkonyi J, Buda G, Nagler A, Druzd‐Sitek A, Wu X, Kadar K, Camp NJ, Grzasko N, Waller RG, Vachon C, Canzian F, Campa D. A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk. Int J Cancer 2023; 152:239-248. [PMID: 36082445 PMCID: PMC9828677 DOI: 10.1002/ijc.34278] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 06/01/2022] [Accepted: 06/07/2022] [Indexed: 01/12/2023]
Abstract
Pleiotropy, which consists of a single gene or allelic variant affecting multiple unrelated traits, is common across cancers, with evidence for genome-wide significant loci shared across cancer and noncancer traits. This feature is particularly relevant in multiple myeloma (MM) because several susceptibility loci that have been identified to date are pleiotropic. Therefore, the aim of this study was to identify novel pleiotropic variants involved in MM risk using 28 684 independent single nucleotide polymorphisms (SNPs) from GWAS Catalog that reached a significant association (P < 5 × 10-8 ) with their respective trait. The selected SNPs were analyzed in 2434 MM cases and 3446 controls from the International Lymphoma Epidemiology Consortium (InterLymph). The 10 SNPs showing the strongest associations with MM risk in InterLymph were selected for replication in an independent set of 1955 MM cases and 1549 controls from the International Multiple Myeloma rESEarch (IMMEnSE) consortium and 418 MM cases and 147 282 controls from the FinnGen project. The combined analysis of the three studies identified an association between DNAJB4-rs34517439-A and an increased risk of developing MM (OR = 1.22, 95%CI 1.13-1.32, P = 4.81 × 10-7 ). rs34517439-A is associated with a modified expression of the FUBP1 gene, which encodes a multifunctional DNA and RNA-binding protein that it was observed to influence the regulation of various genes involved in cell cycle regulation, among which various oncogenes and oncosuppressors. In conclusion, with a pleiotropic scan approach we identified DNAJB4-rs34517439 as a potentially novel MM risk locus.
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Affiliation(s)
| | | | - Alyssa Clay‐Gilmour
- Department of Epidemiology and Biostatistics, Arnold School of Public HealthUniversity of South CarolinaGreenvilleSouth CarolinaUSA
| | - Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ)HeidelbergGermany
| | - Juan Sainz
- Genomic Oncology Area, GENYO. Center for Genomics and Oncological Research: PfizerUniversity of Granada/Andalusian Regional GovernmentGranadaSpain,Department of HematologyVirgen de las Nieves University HospitalGranadaSpain,Department of MedicineUniversity of GranadaGranadaSpain
| | - Mitchell J. Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | | | - Aaron D. Norman
- Division of Epidemiology, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA,Division of Biomedical Statistics and Informatics, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Agata Tyczyńska
- Department of Hematology and TransplantologyMedical University of GdańskGdańskPoland
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | | | - Shaji K. Kumar
- Division of Hematology, Department of Internal MedicineMayo ClinicRochesterOntarioUSA
| | - Parveen Bhatti
- Cancer Control ResearchBC CancerVancouverCanada,Program in Epidemiology, Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Wendy Cozen
- Division of Hematology/Oncology, Department of Medicine, School of Medicine, Susan and Henry Samueli College of Health SciencesChao Family Comprehensive Cancer Center, University of CaliforniaIrvineCaliforniaUSA,Department of Pathology, School of Medicine, Susan and Henry Samueli College of Health SciencesChao Family Comprehensive Cancer Center, University of CaliforniaIrvineCaliforniaUSA
| | - Elizabeth E. Brown
- Department of Pathology, School of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Anna Suska
- Plasma Cell Dyscrasia Center Department of Hematology Jagiellonian University Faculty of MedicineKrakówPoland
| | | | - Robert Z. Orlowski
- Department of Lymphoma ‐ Myeloma, Division of Cancer MedicineUniversity of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Marek Dudziński
- Department of Hematology, Institute of Medical Sciences, College of Medical SciencesUniversity of RzeszowRzeszowPoland
| | - Ramon Garcia‐Sanz
- Medina A. Department of Hematology, University Hospital of Salamanca (HUS/IBSAL)CIBERONC and Cancer Research Institute of Salamanca‐IBMCC (USAL‐CSIC)SalamancaSpain
| | - Marcin Kruszewski
- Department of HematologyUniversity Hospital No. 2 in BydgoszczBydgoszczPoland
| | | | - Katia Beider
- Hematology Division Chaim Sheba Medical CenterTel HashomerIsrael
| | | | - Matteo Pelosini
- U.O. Dipartimento di EmatologiaAzienda USL Toscana Nord OvestLivornoItaly,Present address:
Ospedale Santa ChiaraPisaItaly
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | | | - Krzysztof Jamroziak
- Department of HematologyInstitute of Hematology and Transfusion MedicineWarsawPoland
| | - S. Vincent Rajkumar
- Division of Hematology, Department of Internal MedicineMayo ClinicRochesterOntarioUSA
| | - Artur Jurczyszyn
- Plasma Cell Dyscrasia Center Department of Hematology Jagiellonian University Faculty of MedicineKrakówPoland
| | | | | | - Ulla Vogel
- National Research Center for the Working EnvironmentCopenhagenDenmark
| | - Jonathan N. Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | - Mario Petrini
- Hematology Unit, Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Aleksandra Butrym
- Department of Cancer Prevention and TherapyWroclaw Medical UniversityWroclawPoland
| | - Susan L. Slager
- Division of Epidemiology, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Elad Ziv
- Department of MedicineUniversity of California San Francisco Helen Diller Family Comprehensive Cancer CenterSan FranciscoCaliforniaUSA
| | - Edyta Subocz
- Department of HematologyMilitary Institute of MedicineWarsawPoland
| | - Graham G. Giles
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVictoriaAustralia,Center for Epidemiology and Biostatistics, School of Population and Global HealthThe University of MelbourneMelbourneVictoriaAustralia,Precision Medicine, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVictoriaAustralia
| | | | - Grzegorz Mazur
- Department of Internal Diseases, Occupational Medicine, Hypertension and Clinical OncologyWroclaw Medical UniversityWroclawPoland
| | - Marzena Watek
- Department of HematologyInstitute of Hematology and Transfusion MedicineWarsawPoland,Department of HematologyHolycross Cancer CenterKielcePoland
| | - Fabienne Lesueur
- Inserm, U900, Institut Curie, PSL Research University, Mines ParisTechParisFrance
| | - Michelle A. T. Hildebrandt
- Department of Lymphoma ‐ Myeloma, Division of Cancer MedicineUniversity of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Daria Zawirska
- Department of HematologyUniversity Hospital in CracowCracowPoland
| | | | - Herlander Marques
- Life and Health Sciences Research Institute (ICVS), School of Health SciencesUniversity of Minho, Braga, Portugal and ICVS/3B's – PT Government Associate LaboratoryBraga/GuimarãesPortugal
| | | | | | - Judit Várkonyi
- Department of Hematology and Internal MedicineSemmelweis UniversityBudapestHungary
| | - Gabriele Buda
- Hematology Unit, Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Arnon Nagler
- Hematology Division Chaim Sheba Medical CenterTel HashomerIsrael
| | - Agnieszka Druzd‐Sitek
- Department of Lymphoproliferative DiseasesMaria Skłodowska‐Curie National Research Institute of OncologyWarsawPoland
| | - Xifeng Wu
- Department of Epidemiology, Division of Cancer Prevention and Population SciencesUniversity of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Katalin Kadar
- Department of Hematology and Internal MedicineSemmelweis UniversityBudapestHungary
| | - Nicola J. Camp
- Division of Hematology and Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Norbert Grzasko
- Department of Experimental HematooncologyMedical University of LublinLublinPoland
| | - Rosalie G. Waller
- Division of Biomedical Statistics and Informatics, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Celine Vachon
- Division of Epidemiology, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ)HeidelbergGermany
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18
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Purewal JS, Doshi GM. Deciphering the Function of New Therapeutic Targets and Prospective Biomarkers in the Management of Psoriasis. Curr Drug Targets 2023; 24:1224-1238. [PMID: 38037998 DOI: 10.2174/0113894501277656231128060242] [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: 08/17/2023] [Revised: 10/29/2023] [Accepted: 11/07/2023] [Indexed: 12/02/2023]
Abstract
Psoriasis is an immune-mediated skin condition affecting people worldwide, presenting at any age, and leading to a substantial burden physically and mentally. The innate and adaptive immune systems interact intricately with the pathomechanisms that underlie disease. T cells can interact with keratinocytes, macrophages, and dendritic cells through the cytokines they secrete. According to recent research, psoriasis flare-ups can cause systemic inflammation and various other co-morbidities, including depression, psoriatic arthritis, and cardio-metabolic syndrome. Additionally, several auto-inflammatory and auto-immune illnesses may be linked to psoriasis. Although psoriasis has no proven treatment, care must strive by treating patients as soon as the disease surfaces, finding and preventing concurrent multimorbidity, recognising and reducing bodily and psychological distress, requiring behavioural modifications, and treating each patient individually. Biomarkers are traits that are assessed at any time along the clinical continuum, from the early stages of a disease through the beginning of treatment (the foundation of precision medicine) to the late stages of treatment (outcomes and endpoints). Systemic therapies that are frequently used to treat psoriasis provide a variety of outcomes. Targeted therapy selection, better patient outcomes, and more cost-effective healthcare would be made possible by biomarkers that reliably predict effectiveness and safety. This review is an attempt to understand the role of Antimicrobial peptides (AMP), Interleukin-38 (IL-38), autophagy 5 (ATG5) protein and squamous cell carcinoma antigen (SCCA) as biomarkers of psoriasis.
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Affiliation(s)
- Japneet Singh Purewal
- Department of Pharmacology, Toxicology and Therapeutics, SVKM's Dr Bhanuben Nanavati College of Pharmacy, V.M. Road, Vile Parle (W), Mumbai, India
| | - Gaurav Mahesh Doshi
- Department of Pharmacology, Toxicology and Therapeutics, SVKM's Dr Bhanuben Nanavati College of Pharmacy, V.M. Road, Vile Parle (W), Mumbai, India
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19
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Second primary malignancies in patients with haematological cancers treated with lenalidomide: a systematic review and meta-analysis. THE LANCET HAEMATOLOGY 2022; 9:e906-e918. [DOI: 10.1016/s2352-3026(22)00289-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 08/11/2022] [Accepted: 08/22/2022] [Indexed: 11/30/2022]
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20
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Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, Rothman N. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes. Leukemia 2022; 36:2835-2844. [PMID: 36273105 PMCID: PMC10337695 DOI: 10.1038/s41375-022-01711-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/22/2022] [Accepted: 09/15/2022] [Indexed: 11/08/2022]
Abstract
Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P < 5 × 10-8) for subsets of NHL subtypes, including a novel locus at 10q23.33 (HHEX) (P = 3.27 × 10-9). Most subset associations were driven primarily by only one subtype. Genome-wide genetic correlations between pairs of subtypes varied broadly from 0.20 to 0.86, suggesting substantial heterogeneity in the extent of shared heritability among subtypes. Polygenic risk score analyses of established loci for different lymphoid malignancies identified strong associations with some NHL subtypes (P < 5 × 10-8), but weak or null associations with others. Although our analyses suggest partially shared heritability and biological pathways, they reveal substantial heterogeneity among NHL subtypes with each having its own distinct germline genetic architecture.
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Affiliation(s)
- Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA.
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Alexandra Nieters
- Institute for Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | - Zhaoming Wang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Karin E Smedby
- Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Hematology Center, Karolinska University Hospital, Stockholm, Sweden
| | | | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Haematology, Rigshospitalet, Copenhagen, Denmark
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Caroline Besson
- Centre Hospitalier de Versailles, Le Chesnay, France
- Université Paris-Saclay, UVSQ, Inserm, Équipe "Exposome et Hérédité", CESP, Villejuif, France
| | - Christine F Skibola
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Angela R Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Joshua Arias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Institute of Health and Society, Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kenneth C Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Stephen M Ansell
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Bryan Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Parveen Bhatti
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York, 11794, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, 41026, Italy
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Elizabeth E Brown
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Lisa A Cannon-Albright
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Ellen T Chang
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Center for Health Sciences, Exponent, Inc., Menlo Park, CA, USA
| | - Brian C H Chiu
- Department of Public Health Sciences University of Chicago, Chicago, IL, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Jacqueline Clavel
- CRESS, UMR1153, INSERM, Villejuif, France
- Université de Paris-Cité, Villejuif, France
| | - Pierluigi Cocco
- Centre for Occupational and Environmental Health, Division of Population Science, Health Services Research & Primary Care, University of Manchester, Manchester, United Kingdom
| | - Graham Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Lucia Conde
- Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London, United Kingdom
| | - David V Conti
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David G Cox
- INSERM U1052, Cancer Research Center of Lyon, Centre Léon Bérard, Lyon, France
| | - Karen Curtin
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Delphine Casabonne
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Arjan Diepstra
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ahmet Dogan
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher K Edlund
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Attilio Gabbas
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari, Italy
| | - Hervé Ghesquières
- Department of Hematology, Hospices Civils de Lyon, Lyon Sud Hospital, Pierre Benite, France
- CIRI, Centre International de Recherche en Infectiologie, Team Lymphoma Immuno-Biology, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Sally Glaser
- Cancer Prevention Institute of California, Fremont, CA, USA
- Stanford Cancer Institute, Stanford, CA, USA
| | - Martha Glenn
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Jian Gu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | | | - Christopher A Haiman
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Corinne Haioun
- Lymphoid Malignancies Unit, Henri Mondor Hospital and University Paris Est, Créteil, France
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Aalin Izhar
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH, USA
| | - Ruth F Jarrett
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, United Kingdom
| | - Laurence N Kolonel
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Yinfei Kong
- Information Systems and Decision Sciences, California State University, Fullerton, Fullerton, CA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia
| | - Annette Lake
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | | | - Dalin Li
- F. Widjaja Family Foundation Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Liebow
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Corrado Magnani
- CPO-Piemonte and Unit of Medical Statistics and Epidemiology, Department Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Marc Maynadie
- INSERM U1231, EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon, France
| | - James McKay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Mads Melbye
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Jebsen Center for Genetic epidemiology, NTNU, Trondheim, Norway
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Genetics, Stanford University Medical School, Stanford, CA, USA
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Unit, Cancer Prevention and Research Institute (ISPO), Florence, Italy
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Thierry J Molina
- Department of Pathology, APHP, Necker and Robert Debré, Université Paris Cité, Institut Imagine, INSERM U1163, Paris, France
| | - Alain Monnereau
- CRESS, UMR1153, INSERM, Villejuif, France
- Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux, Cedex, France
| | | | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anne J Novak
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kenan Onel
- Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Hempstead, New York, NY, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kristin A Rand
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Eve Roman
- Department of Health Sciences, University of York, York, United Kingdom
| | - Gilles Salles
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Douglas W Sborov
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA
| | - Tait D Shanafelt
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Alexandra Smith
- Department of Health Sciences, University of York, York, United Kingdom
| | - Kevin W Song
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Lei Song
- Center for Cancer Research, National Cancer Institute, Frederick, MA, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, VC, 3010, Australia
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Anthony Staines
- School of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Ireland
| | - Deborah Stephens
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Heather J Sutherland
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Kaitlyn Tkachuk
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Hervé Tilly
- Centre Henri Becquerel, Université de Rouen, Rouen, France
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Jenny Turner
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
- Department of Histopathology, Douglass Hanly Moir Pathology, Sydney, NSW, Australia
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Claire M Vajdic
- The Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - Anke Van Den Berg
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David J Van Den Berg
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Human Genetics Foundation, Turin, Italy
| | - Sophia S Wang
- Division of Health Analytics, City of Hope Beckman Research Institute, Duarte, CA, USA
| | | | - George J Weiner
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nicole Wong Doo
- Concord Clinical School, University of Sydney, Concord, NSW, Australia
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY, USA
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Tongzhang Zheng
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MA, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wendy Cozen
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, USA
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
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Saleh D, Ramadan A, Mohammed RH, Alnaggar ARLR, Saleh EM. Autophagy-related genes in Egyptian patients with Behçet's disease. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2022. [DOI: 10.1186/s43042-022-00367-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Abstract
Background
Behçet's disease (BD) is a chronic, multi-systemic, recurrent condition that affects the vascular, ocular, mucocutaneous, and central nervous systems. The diagnosis of this disease depends on its clinical features, which are similar to those observed in several diseases, such as Parkinson’s disease, pemphigus vulgaris, systemic lupus erythematosus, Crohn ҆s disease, and Sjӧgren’s syndrome. Lysosome-mediated autophagy is a catabolic, cytoprotective mechanism that maintains cell homeostasis by degrading undesired long-lived proteins and recycling nutrients. The aim of this study was to evaluate the correlations between some autophagy-related genes (ATG5, ATG7, ATG12, LC3b, mTOR) and the pathogenesis and immunopathology of BD. The expression levels of the genes were evaluated by quantitative polymerase chain reaction (qPCR) in 101 individuals that are classified into two groups. Group 1: (n = 71) BD patients, Group 2: (n = 30) healthy controls.
Results
Patients with BD had lower mRNA expression levels of ATG5 and mTOR and higher levels of LC3b mRNA than the controls. No significant differences in the levels of both ATG7 and ATG12 were observed between the two groups. According to the area under the curve analysis, LC3b was considered the best candidate biomarker among the selected markers for the diagnosis of BD. The mRNA expression of ATG5 was significantly correlated with patient age and the presence of oral ulcers. The mRNA expression of ATG7 was significantly associated with age and the presence of erythema nodosum and vascular lesions, whereas that of LC3b was significantly correlated with the presence of pustules.
Conclusion
These findings indicated that elevated levels of LC3b were strongly associated with BD. Likewise, the levels of ATG5 and ATG7 were associated with the complications and outcomes of this disease. Additional assessments of the mRNA expression levels of these autophagy-related genes might prove beneficial in diagnosing this autoimmune disorder.
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22
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Autophagy in Hematological Malignancies. Cancers (Basel) 2022; 14:cancers14205072. [PMID: 36291856 PMCID: PMC9600546 DOI: 10.3390/cancers14205072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/10/2022] [Accepted: 10/13/2022] [Indexed: 11/29/2022] Open
Abstract
Simple Summary Autophagy is a dynamic and tightly regulated process that seems to have dual effects in cancer. In some contexts, it can induce carcinogenesis and promote cancer cell survival, whereas in others, it acts preventing tumor cell growth and tumor progression. Thus, autophagy functions seem to strictly depend on cancer ontogenesis, progression, and type. Here, we will dive into the current knowledge of autophagy in hematological malignancies and will highlight the main genetic components involved in each cancer type. Abstract Autophagy is a highly conserved metabolic pathway via which unwanted intracellular materials, such as unfolded proteins or damaged organelles, are digested. It is activated in response to conditions of oxidative stress or starvation, and is essential for the maintenance of cellular homeostasis and other vital functions, such as differentiation, cell death, and the cell cycle. Therefore, autophagy plays an important role in the initiation and progression of tumors, including hematological malignancies, where damaged autophagy during hematopoiesis can cause malignant transformation and increase cell proliferation. Over the last decade, the importance of autophagy in response to standard pharmacological treatment of hematological tumors has been observed, revealing completely opposite roles depending on the tumor type and stage. Thus, autophagy can promote tumor survival by attenuating the cellular damage caused by drugs and/or stabilizing oncogenic proteins, but can also have an antitumoral effect due to autophagic cell death. Therefore, autophagy-based strategies must depend on the context to create specific and safe combination therapies that could contribute to improved clinical outcomes. In this review, we describe the process of autophagy and its role on hematopoiesis, and we highlight recent research investigating its role as a potential therapeutic target in hematological malignancies. The findings suggest that genetic variants within autophagy-related genes modulate the risk of developing hemopathies, as well as patient survival.
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Corpas M, Megy K, Metastasio A, Lehmann E. Implementation of individualised polygenic risk score analysis: a test case of a family of four. BMC Med Genomics 2022; 15:207. [PMID: 36192731 PMCID: PMC9531350 DOI: 10.1186/s12920-022-01331-8] [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: 08/05/2022] [Accepted: 08/05/2022] [Indexed: 11/16/2022] Open
Abstract
Background Polygenic risk scores (PRS) have been widely applied in research studies, showing how population groups can be stratified into risk categories for many common conditions. As healthcare systems consider applying PRS to keep their populations healthy, little work has been carried out demonstrating their implementation at an individual level. Case presentation We performed a systematic curation of PRS sources from established data repositories, selecting 15 phenotypes, comprising an excess of 37 million SNPs related to cancer, cardiovascular, metabolic and autoimmune diseases. We tested selected phenotypes using whole genome sequencing data for a family of four related individuals. Individual risk scores were given percentile values based upon reference distributions among 1000 Genomes Iberians, Europeans, or all samples. Over 96 billion allele effects were calculated in order to obtain the PRS for each of the individuals analysed here. Conclusions Our results highlight the need for further standardisation in the way PRS are developed and shared, the importance of individual risk assessment rather than the assumption of inherited averages, and the challenges currently posed when translating PRS into risk metrics.
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Affiliation(s)
- Manuel Corpas
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, UK. .,Institute of Continuing Education, University of Cambridge, Cambridge, UK. .,Facultad de Ciencias de La Salud, Universidad Internacional de La Rioja, Madrid, Spain.
| | - Karyn Megy
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, UK.,Department of Haematology, University of Cambridge & NHS Blood and Transplant, Cambridge, UK
| | - Antonio Metastasio
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, UK.,Camden and Islington NHS Foundation Trust, London, UK
| | - Edmund Lehmann
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, UK
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Saadoune C, Nouadi B, Hamdaoui H, Chegdani F, Bennis F. Multiple Myeloma: Bioinformatic Analysis for Identification of Key Genes and Pathways. Bioinform Biol Insights 2022; 16:11779322221115545. [PMID: 35958298 PMCID: PMC9358573 DOI: 10.1177/11779322221115545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 06/26/2022] [Indexed: 01/02/2023] Open
Abstract
Multiple myeloma (MM) is a hematological malignancy in which monoclonal plasma cells multiply in the bone marrow and monoclonal immunoglobulins are overproduced in older people. Several molecular and cytogenetic advances allow scientists to identify several genetic and chromosomal abnormalities that cause the disease. The comprehension of the pathophysiology of MM requires an understanding of the characteristics of malignant clones and the changes in the bone marrow microenvironment. This study aims to identify the central genes and to determine the key signaling pathways in MM by in silico approaches. A list of 114 differentially expressed genes (DEGs) is important in the prognosis of MM. The DEGs are collected from scientific publications and databases (https://www.ncbi.nlm.nih.gov/). These data are analyzed by Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) software (https://string-db.org/) through the construction of protein-protein interaction (PPI) networks and enrichment analysis of the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, by CytoHubba, AutoAnnotate, Bingo Apps plugins in Cytoscape software (https://cytoscape.org/) and by DAVID database (https://david.ncifcrf.gov/). The analysis of the results shows that there are 7 core genes, including TP53; MYC; CDND1; IL6; UBA52; EZH2, and MDM2. These top genes appear to play a role in the promotion and progression of MM. According to functional enrichment analysis, these genes are mainly involved in the following signaling pathways: Epstein-Barr virus infection, microRNA pathway, PI3K-Akt signaling pathway, and p53 signaling pathway. Several crucial genes, including TP53, MYC, CDND1, IL6, UBA52, EZH2, and MDM2, are significantly correlated with MM, which may exert their role in the onset and evolution of MM.
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Affiliation(s)
- Chaimaa Saadoune
- Laboratory of Immunology and Biodiversity, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, Morocco
| | - Badreddine Nouadi
- Laboratory of Immunology and Biodiversity, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, Morocco
| | - Hasna Hamdaoui
- Laboratory of Immunology and Biodiversity, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, Morocco.,Laboratory of Medical Genetics, University Hospital Center Tangier-Tetouan-Al Hoceima, Tangier, Morocco
| | - Fatima Chegdani
- Laboratory of Immunology and Biodiversity, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, Morocco
| | - Faiza Bennis
- Laboratory of Immunology and Biodiversity, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, Morocco
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CircRFWD3 promotes HNSCC metastasis by modulating miR-27a/b/PPARγ signaling. Cell Death Dis 2022; 8:285. [PMID: 35690612 PMCID: PMC9188624 DOI: 10.1038/s41420-022-01066-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 04/29/2022] [Accepted: 05/23/2022] [Indexed: 02/05/2023]
Abstract
Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer in the world, the 5-year survival rate of patients with HNSCC is still about 50% due to frequent metastasis and recurrence. Circular RNAs (circRNAs) have been characterized as key regulators of gene expression in numerous malignancies. However, the role of circRNA in HNSCC metastasis remains largely unknown. Here, we demonstrated that the circRFWD3 was significantly upregulated in HNSCC tissues and cell lines by circRNA microarray analysis and qPCR. Notably, high expression of circRFWD3 is related to highly aggressive HNSCC cell lines and lymph node metastasis in HNSCC patients. After that, Sanger sequencing, RNase R, and actinomycin D assay were performed to verify the ring structure of circRFWD3. Then functional experiments found it could promote the metastasis of HNSCC cells both in vitro and in vivo. Mechanistically, a dual-luciferase reporter assay, FISH, RIP, RNA pull-down, RNA-seq, and western blot experiments were employed and found that circRFWD3 served as a miRNAs sponge for miR-27a/27b, leading to the upregulation of PPARγ, and then promoted HNSCC metastasis via NF-κB/MMP13 pathway. Finally, ISH and IHC were carried out to determine the expression levels and clinical significances of circRFWD3 and PPARγ in clinical cohorts of HNSCC. According to the analysis results from two independent HNSCC cohorts, upregulated expression of circRFWD3 and PPARγ were positively associated with worse survival in patients with HNSCC. Overall, our results uncover that circRFWD3 acts a critical role in promoting the aggressiveness of HNSCC cells and is a prognostic marker for the disease, indicating that circRFWD3 may act as a potential therapeutic target in HNSCC.
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Sadowska-Klasa A, Abba M, Gajkowska-Kulik J, Zaucha JM. Therapy-related acute lymphoblastic leukemia following treatment for multiple myeloma - diagnostic and therapeutic dilemma. Acta Oncol 2022; 61:1126-1131. [PMID: 35668607 DOI: 10.1080/0284186x.2022.2083921] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Alicja Sadowska-Klasa
- Department of Hematology and Transplantology, Medical University of Gdańsk, Gdansk, Poland
| | - Mary Abba
- Medical University of Gdańsk, Gdansk, Poland
| | - Justyna Gajkowska-Kulik
- Department of Hematology and Bone Marrow Transplantation, SSM Nicolaus Copernicus, Toruń, Poland
| | - Jan Maciej Zaucha
- Department of Hematology and Transplantology, Medical University of Gdańsk, Gdansk, Poland
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Zhu Y, Peng X, Wang X, Ying P, Wang H, Li B, Li Y, Zhang M, Cai Y, Lu Z, Niu S, Yang N, Zhong R, Tian J, Chang J, Miao X. Systematic analysis on expression quantitative trait loci identifies a novel regulatory variant in ring finger and WD repeat domain 3 associated with prognosis of pancreatic cancer. Chin Med J (Engl) 2022; 135:1348-1357. [PMID: 35830250 PMCID: PMC9433068 DOI: 10.1097/cm9.0000000000002180] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Pancreatic adenocarcinoma (PAAD) is an extremely lethal malignancy. Identification of the functional genes and genetic variants related to PAAD prognosis is important and challenging. Previously identified prognostic genes from several expression profile analyses were inconsistent. The regulatory genetic variants that affect PAAD prognosis were largely unknown. METHODS Firstly, a meta-analysis was performed with seven published datasets to systematically explore the candidate prognostic genes for PAAD. Next, to identify the regulatory variants for those candidate genes, expression quantitative trait loci analysis was implemented with PAAD data resources from The Cancer Genome Atlas. Then, a two-stage association study in a total of 893 PAAD patients was conducted to interrogate the regulatory variants and find the prognostic locus. Finally, a series of biochemical experiments and phenotype assays were carried out to demonstrate the biological function of variation and genes in PAAD progression process. RESULTS A total of 128 genes were identified associated with the PAAD prognosis in the meta-analysis. Fourteen regulatory loci in 12 of the 128 genes were discovered, among which, only rs4887783, the functional variant in the promoter of Ring Finger and WD Repeat Domain 3 ( RFWD3 ), presented significant association with PAAD prognosis in both stages of the population study. Dual-luciferase reporter and electrophoretic mobility shift assays demonstrated that rs4887783-G allele, which predicts the worse prognosis, enhanced the binding of transcript factor REST, thus elevating RFWD3 expression. Further phenotypic assays revealed that excess expression of RFWD3 promoted tumor cell migration without affecting their proliferation rate. RFWD3 was highly expressed in PAAD and might orchestrate the genes in the DNA repair process. CONCLUSIONS RFWD3 and its regulatory variant are novel genetic factors for PAAD prognosis.
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Affiliation(s)
- Ying Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei 430072, China
| | - Xiating Peng
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Xiaoyang Wang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Pingting Ying
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Haoxue Wang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Bin Li
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Yue Li
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Ming Zhang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Yimin Cai
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Zequn Lu
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Siyuan Niu
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Nan Yang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Rong Zhong
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Jianbo Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei 430072, China
| | - Jiang Chang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei 430030, China
| | - Xiaoping Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei 430072, China
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Ji Y, Yang Y, Yin Z. Polymorphisms in lncRNA CCAT1 on the susceptibility of lung cancer in a Chinese northeast population: A case-control study. Cancer Med 2022; 12:500-512. [PMID: 35650713 PMCID: PMC9844612 DOI: 10.1002/cam4.4902] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 05/04/2022] [Accepted: 05/15/2022] [Indexed: 02/06/2023] Open
Abstract
OBJECT To explore the association of rs1948915, rs7013433 in long noncoding RNA (lncRNA) CCAT1 and rs6983267 in MYC enhancer region with the risk of lung cancer in a Chinese northeast population, a case-control study was conducted. METHODS The hospital-based case-control study contained 669 lung cancer patients and 697 healthy controls. Taqman® Probe allele resolution was used for genotyping. The differences between the case-control groups were analyzed using Student t-test and chi-square test. Logistic regression analysis was used to assess the relationship between the genotypes and the risk of lung cancer. Cross-generation analysis was used to explore the relationship between gene-environment interaction and lung cancer. RESULTS There was no association between the three selected single-nucleotide polymorphisms (SNPs) and the susceptibility of lung cancer. Rs1948915 CT was correlated with lung adenocarcinoma. In female stratification, rs1948915 CT/CC was associated with a decreased susceptibility of lung cancer significantly. Additionally, the additive and multiplicative interaction models showed that there was no interaction between the three selected SNPs and smoking status in lung cancer. CONCLUSIONS There may be an association between lung adenocarcinoma and rs1948915 polymorphism in the Chinese northeast population, while rs7013433 and rs6983267 might have no association. There was no interaction between the three selected SNPs and smoking status.
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Affiliation(s)
- Yangtao Ji
- Department of Laboratory Medicine, National Clinical Research Center for Laboratory MedicineThe First Affiliated Hospital of China Medical UniversityShenyangLiaoningPeople's Republic of China
| | - Yue Yang
- Department of Laboratory MedicineThe First Affiliated Hospital of China Medical UniversityShenyangLiaoningPeople's Republic of China
| | - Zhihua Yin
- Department of EpidemiologySchool of Public Health, China Medical UniversityShenyangLiaoningPeople's Republic of China
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Genome-Wide Association Study of Fluorescent Oxidation Products Accounting for Tobacco Smoking Status in Adults from the French EGEA Study. Antioxidants (Basel) 2022; 11:antiox11050802. [PMID: 35624665 PMCID: PMC9137810 DOI: 10.3390/antiox11050802] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 04/13/2022] [Accepted: 04/18/2022] [Indexed: 12/14/2022] Open
Abstract
Oxidative stress (OS) is the main pathophysiological mechanism involved in several chronic diseases, including asthma. Fluorescent oxidation products (FlOPs), a global biomarker of damage due to OS, is of growing interest in epidemiological studies. We conducted a genome-wide association study (GWAS) of the FlOPs level in 1216 adults from the case-control and family-based EGEA study (mean age 43 years old, 51% women, and 23% current smokers) to identify genetic variants associated with FlOPs. The GWAS was first conducted in the whole sample and then stratified according to smoking status, the main exogenous source of reactive oxygen species. Among the top genetic variants identified by the three GWAS, those located in BMP6 (p = 3 × 10−6), near BMPER (p = 9 × 10−6), in GABRG3 (p = 4 × 10−7), and near ATG5 (p = 2 × 10−9) are the most relevant because of both their link to biological pathways related to OS and their association with several chronic diseases for which the role of OS in their pathophysiology has been pointed out. BMP6 and BMPER are of particular interest due to their involvement in the same biological pathways related to OS and their functional interaction. To conclude, this study, which is the first GWAS of FlOPs, provides new insights into the pathophysiology of chronic OS-related diseases.
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Increased Expression of SETDB1 Predicts Poor Prognosis in Multiple Myeloma. BIOMED RESEARCH INTERNATIONAL 2022; 2022:3307873. [PMID: 35372573 PMCID: PMC8967582 DOI: 10.1155/2022/3307873] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 03/12/2022] [Indexed: 01/10/2023]
Abstract
Several genes on chromosome 1q21 region predict a high risk of multiple myeloma (MM); however, the underlying molecular pathology remains elusive. Overexpression, amplification, or activation of SET Domain Bifurcated 1 (SETDB1), which is located on 1q21, is closely associated with poor prognosis of many human solid malignancies. In our study, upregulation of SETDB1 might indicate an unfavorable prognosis of MM using bioinformatics analysis from GEO databases and MMRF-CoMMpass. Here, increased SETDB1 expression was observed in the plasma cells from newly diagnosed multiple myeloma patients compared to those from the normal controls. Meanwhile, SETDB1 overexpression was the result of increased copy numbers of SETDB1 gene. In MM patients, the Kaplan-Meier analysis was employed to demonstrate that increased SETDB1 expression was associated with shorter overall survival (OS) and event-free survival (EFS). Besides, we conducted multifactorial cox regression analysis to state that SETDB1 expression was an independent biomarker for OS and EFS. MM patients with higher SETDB1 expression showed higher levels of beta-2 microglobulin (β2M), lactate dehydrogenase (LDH), and bone marrow biopsy plasma cells (BMPC) and lower levels of haemoglobin (HGB). Functional enrichment analysis suggested that SETDB1 could promote cell cycle progression in myeloma. Finally, we observed that SETDB1 was distinctly correlated with tumor immunity in MM. SETDB1 expression in myeloma cells was positively correlated with CD56dim natural killer cells but negatively correlated with infiltrating levels of type17 T helper cells, effector memory CD8 T cells, activated dendritic cells, and natural killer T cells from whole bone marrow (WBM) biopsies. Taken together, these results indicated that SETDB1 could be used as a novel biomarker for predicting the prognosis of MM patients.
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Canzian F, Piredda C, Macauda A, Zawirska D, Andersen NF, Nagler A, Zaucha JM, Mazur G, Dumontet C, Wątek M, Jamroziak K, Sainz J, Várkonyi J, Butrym A, Beider K, Abildgaard N, Lesueur F, Dudziński M, Vangsted AJ, Pelosini M, Subocz E, Petrini M, Buda G, Raźny M, Gemignani F, Marques H, Orciuolo E, Kadar K, Jurczyszyn A, Druzd-Sitek A, Vogel U, Andersen V, Reis RM, Suska A, Avet-Loiseau H, Kruszewski M, Tomczak W, Rymko M, Minvielle S, Campa D. A polygenic risk score for multiple myeloma risk prediction. Eur J Hum Genet 2022; 30:474-479. [PMID: 34845334 PMCID: PMC8991223 DOI: 10.1038/s41431-021-00986-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 10/04/2021] [Accepted: 10/08/2021] [Indexed: 12/24/2022] Open
Abstract
There is overwhelming epidemiologic evidence that the risk of multiple myeloma (MM) has a solid genetic background. Genome-wide association studies (GWAS) have identified 23 risk loci that contribute to the genetic susceptibility of MM, but have low individual penetrance. Combining the SNPs in a polygenic risk score (PRS) is a possible approach to improve their usefulness. Using 2361 MM cases and 1415 controls from the International Multiple Myeloma rESEarch (IMMEnSE) consortium, we computed a weighted and an unweighted PRS. We observed associations with MM risk with OR = 3.44, 95% CI 2.53-4.69, p = 3.55 × 10-15 for the highest vs. lowest quintile of the weighted score, and OR = 3.18, 95% CI 2.1 = 34-4.33, p = 1.62 × 10-13 for the highest vs. lowest quintile of the unweighted score. We found a convincing association of a PRS generated with 23 SNPs and risk of MM. Our work provides additional validation of previously discovered MM risk variants and of their combination into a PRS, which is a first step towards the use of genetics for risk stratification in the general population.
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Affiliation(s)
- Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Chiara Piredda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Daria Zawirska
- Department of Hematology, University Hospital of Cracow, Cracow, Poland
| | | | - Arnon Nagler
- Hematology Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | | | - Grzegorz Mazur
- Department of Internal and Occupational Diseases, Hypertension and Clinical Oncology, Medical University Wroclaw, Wroclaw, Poland
| | - Charles Dumontet
- Cancer Research Center of Lyon/Hospices Civils de Lyon, Lyon, France
| | - Marzena Wątek
- Hematology Clinic, Holycross Cancer Center, Kielce, Poland
| | - Krzysztof Jamroziak
- Department of Hematology, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Juan Sainz
- Genomic Oncology Area, GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada/Andalusian Regional Government, Granada, Spain
- Hematology department, Virgen de las Nieves University Hospital, Granada, Spain
| | - Judit Várkonyi
- Third Department of Internal Medicine, Semmelweis University, Budapest, Hungary
| | - Aleksandra Butrym
- Department of Internal and Occupational Diseases, Medical University Wroclaw, Wroclaw, Poland
| | - Katia Beider
- Hematology Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Niels Abildgaard
- Department of Hematology, Odense University Hospital, Odense, Denmark
| | - Fabienne Lesueur
- Institut Curie, PSL Research University, Mines ParisTech Inserm, U900, Paris, France
| | - Marek Dudziński
- Hematology Department, Teaching Hospital No 1, Rzeszów, Poland
| | - Annette Juul Vangsted
- Department of Hematology, Rigshospitalet, Copenhagen University, Copenhagen, Denmark
| | - Matteo Pelosini
- Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy
| | - Edyta Subocz
- Department of Haematology, Military Institute of Medicine, Warsaw, Poland
| | - Mario Petrini
- Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy
| | - Gabriele Buda
- Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy
| | - Małgorzata Raźny
- Department of Hematology, Rydygier Specialistic Hospital, Cracow, Poland
| | | | - Herlander Marques
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences/Molecular Oncology Research Center, University of Minho, Braga, Portugal
| | - Enrico Orciuolo
- Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy
| | - Katalin Kadar
- Third Department of Internal Medicine, Semmelweis University, Budapest, Hungary
| | - Artur Jurczyszyn
- Department of Hematology, Jagiellonian University Medical College, Cracow, Poland
| | | | - Ulla Vogel
- National Research Centre for the Working Environment, DK-2100, Copenhagen, Denmark
| | - Vibeke Andersen
- Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Rui Manuel Reis
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences/Molecular Oncology Research Center, University of Minho, Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Molecular Oncology Research Center, Barretos Cancer Hospital, S.Paulo, Brazil
| | - Anna Suska
- Department of Hematology, Jagiellonian University Medical College, Cracow, Poland
| | - Hervé Avet-Loiseau
- Unité de Génomique du Myélome, Institut Universitaire du Cancer Toulouse - Oncopole, Toulouse, France
| | - Marcin Kruszewski
- Department of Hematology, University Hospital Bydgoszcz, Bydgoszcz, Poland
| | | | - Marcin Rymko
- Department of Hematology, N. Copernicus Town Hospital, Torun, Poland
| | - Stephane Minvielle
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France
| | - Daniele Campa
- Department of Biology, University of Pisa, Pisa, Italy
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32
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A genetic risk score of alleles related to MGUS interacts with socioeconomic position in a population-based cohort. Sci Rep 2022; 12:4409. [PMID: 35292679 PMCID: PMC8924237 DOI: 10.1038/s41598-022-08294-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 03/04/2022] [Indexed: 11/14/2022] Open
Abstract
Environmental, genetic, and social factors are suggested to jointly influence monoclonal gammopathy of undetermined significance (MGUS), a precursor of multiple myeloma. Aim of this study was to investigate interactions between MGUS-related genetic variants and socioeconomic position (SEP) indicators education and income on MGUS in a population-based study. Two different MGUS-related genetic risk allele sum scores (GRS) were calculated based on recent genome-wide meta-analyses. Odds Ratios (OR) were estimated in 4329 participants including 238 MGUS cases to assess associations and multiplicative interaction. The relative excess risk due to interaction (RERI) was calculated to assess additive interaction. Both GRSs were associated with MGUS. A multiplicative interaction between one GRS and education was observed with genetic effects of OR 1.34 (95% CI 1.11–1.62) per risk allele in the highest and OR 1.06 (95% CI 0.86–1.31) in the lowest education group. A RERI of 0.10 (95% CI 0.05–0.14) also indicated additive interaction. Further, additive GRS by income interaction (RERI 0.07; 95% CI 0.01–0.13) for the same GRS was also indicated. Results indicate interaction between MGUS-related genetic risk and SEP. Non-genetic MGUS risk factors more common in higher education groups may influence the expression of MGUS-related genetic variants.
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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: 9] [Impact Index Per Article: 4.5] [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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RNA demethylase ALKBH5 promotes tumorigenesis in multiple myeloma via TRAF1-mediated activation of NF-κB and MAPK signaling pathways. Oncogene 2022; 41:400-413. [PMID: 34759347 PMCID: PMC8755544 DOI: 10.1038/s41388-021-02095-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 10/19/2021] [Accepted: 10/22/2021] [Indexed: 02/07/2023]
Abstract
N6-methyladenosine (m6A), an internal modification in mRNA, plays a critical role in regulating gene expression. Dysregulation of m6A modifiers promotes oncogenesis through enzymatic functions that disrupt the balance between the deposition and removal of m6A modification on critical transcripts. However, the roles of mRNA m6A in multiple myeloma (MM) are poorly understood. The present study showed that RNA demethylase ALKBH5 was overexpressed in MM and associated with a poor prognosis in MM patients. Knocking down ALKBH5 induced apoptosis and inhibited the growth of MM cells in vitro. Xenograft models and gene set enrichment analysis with patient transcriptome datasets also supported the oncogenic role of ALKBH5 in MM. Mechanistic studies showed that ALKBH5 exerted tumorigenic effects in myeloma in an m6A-dependent manner, and TNF receptor-associated factor 1 (TRAF1) was a critical target of ALKBH5. Specifically, ALKBH5 regulated TRAF1 expression via decreasing m6A abundance in the 3'-untranslated region (3'-UTR) of TRAF1 transcripts and enhancing TRAF1 mRNA stability. As a result, ALKBH5 promoted MM cell growth and survival through TRAF1-mediated activation of NF-κB and MAPK signaling pathways. Collectively, our data demonstrated that ALKBH5 played a critical role in MM tumorigenesis and suggested that ALKBH5 could be a novel therapeutic target in MM.
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Allegra A, Rizzo V, Innao V, Alibrandi A, Mazzeo A, Leanza R, Terranova C, Gentile L, Girlanda P, Allegra AG, Alonci A, Musolino C. Diagnostic utility of Sudoscan for detecting bortezomib-induced painful neuropathy: a study on 18 patients with multiple myeloma. Arch Med Sci 2022; 18:696-703. [PMID: 35591819 PMCID: PMC9102521 DOI: 10.5114/aoms/114269] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Accepted: 11/16/2019] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION In the past few years, treatment of multiple myeloma has undergone a deep change for the employment of novel treatment comprising proteasome inhibitors. Bortezomib is a first-line drug in therapy of multiple myeloma. The onset of peripheral neuropathy is a dose-limiting collateral effect of the drug. This neuropathy is a distal symmetric neuropathy that affects both large and small fibers. Nerve conduction study (NCS) can be used for the diagnosis of bortezomib neuropathy, but this technique demonstrates alterations of the large nerve fibers. Sudoscan is a novel technique utilized to offer an evaluation of sudomotor function. The main objective of this study was to compare the sensitivity and diagnostic specificity of Sudoscan with respect to the nerve conduction study after bortezomib treatment. MATERIAL AND METHODS A total of 18 multiple myeloma patients were studied, 10 (55.5%) men and 8 (44.5%) women. Patients were analyzed at baseline and after 6 months of treatment with bortezomib. Subjects were submitted to nerve conduction study and electrochemical skin conductance evaluation with the Sudoscan device. Patients were also submitted to a clinical measure of pain and neuropathy. RESULTS At baseline NCS showed that only the mean sural SAP amplitude was below the 2SD lower limit of normal in 3 (16.7%) patients, while at same time we found an alteration of Sudoscan profiles in 2 (11.1%) patients. After 6 months of treatment, the NCS profiles were altered in 13 (72.2%) patients, and the Sudoscan profiles were modified in 11 (61.1%) subjects. CONCLUSIONS Our results suggest that Sudoscan can be considered for the diagnosis of bortezomib-induced neuropathy. It is objective, reproducible, and surely easier than the traditional nerve conduction study. Sudoscan may be a useful help to manage the therapeutic interventions in multiple myeloma.
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Affiliation(s)
- Alessandro Allegra
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, Messina, Italy
| | - Vincenzo Rizzo
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Vanessa Innao
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, Messina, Italy
| | - Angela Alibrandi
- Department of Economics, Unit of Statistical and Mathematical Sciences, University of Messina, Messina, Italy
| | - Anna Mazzeo
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Rossana Leanza
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, Messina, Italy
| | - Carmen Terranova
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Luca Gentile
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Paolo Girlanda
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Andrea Gaetano Allegra
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, Messina, Italy
| | - Andrea Alonci
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, Messina, Italy
| | - Caterina Musolino
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, Messina, Italy
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Zhang J, He P, Wang X, Wei S, Ma L, Zhao J. A Novel Model of Tumor-Infiltrating B Lymphocyte Specific RNA-Binding Protein-Related Genes With Potential Prognostic Value and Therapeutic Targets in Multiple Myeloma. Front Genet 2021; 12:778715. [PMID: 34976013 PMCID: PMC8719635 DOI: 10.3389/fgene.2021.778715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 11/16/2021] [Indexed: 11/28/2022] Open
Abstract
Background: RNA-binding proteins (RBPs) act as important regulators in the progression of tumors. However, their role in the tumorigenesis and prognostic assessment in multiple myeloma (MM), a B-cell hematological cancer, remains elusive. Thus, the current study was designed to explore a novel prognostic B-cell-specific RBP signature and the underlying molecular mechanisms. Methods: Data used in the current study were obtained from the Gene Expression Omnibus (GEO) database. Significantly upregulated RBPs in B cells were defined as B cell-specific RBPs. The biological functions of B-cell-specific RBPs were analyzed by the cluster Profiler package. Univariate and multivariate regressions were performed to identify robust prognostic B-cell specific RBP signatures, followed by the construction of the risk classification model. Gene set enrichment analysis (GSEA)-identified pathways were enriched in stratified groups. The microenvironment of the low- and high-risk groups was analyzed by single-sample GSEA (ssGSEA). Moreover, the correlations among the risk score and differentially expressed immune checkpoints or differentially distributed immune cells were calculated. The drug sensitivity of the low- and high-risk groups was assessed via Genomics of Drug Sensitivity in Cancer by the pRRophetic algorithm. In addition, we utilized a GEO dataset involving patients with MM receiving bortezomib therapy to estimate the treatment response between different groups. Results: A total of 56 B-cell-specific RBPs were identified, which were mainly enriched in ribonucleoprotein complex biogenesis and the ribosome pathway. ADAR, FASTKD1 and SNRPD3 were identified as prognostic B-cell specific RBP signatures in MM. The risk model was constructed based on ADAR, FASTKD1 and SNRPD3. Receiver operating characteristic (ROC) curves revealed the good predictive capacity of the risk model. A nomogram based on the risk score and other independent prognostic factors exhibited excellent performance in predicting the overall survival of MM patients. GSEA showed enrichment of the Notch signaling pathway and mRNA cis-splicing via spliceosomes in the high-risk group. Moreover, we found that the infiltration of diverse immune cell subtypes and the expression of CD274, CD276, CTLA4 and VTCN1 were significantly different between the two groups. In addition, the IC50 values of 11 drugs were higher in the low-risk group. Patients in the low-risk group exhibited a higher complete response rate to bortezomib therapy. Conclusion: Our study identified novel prognostic B-cell-specific RBP biomarkers in MM and constructed a unique risk model for predicting MM outcomes. Moreover, we explored the immune-related mechanisms of B cell-specific RBPs in regulating MM. Our findings could pave the way for developing novel therapeutic strategies to improve the prognosis of MM patients.
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Affiliation(s)
- JingJing Zhang
- Department of Hematology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Pengcheng He
- Department of Hematology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiaoning Wang
- Department of Hematology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Suhua Wei
- Department of Hematology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Le Ma
- Department of Hematology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Jing Zhao
- Department of Hematology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Jing Zhao,
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Aksenova AY, Zhuk AS, Lada AG, Zotova IV, Stepchenkova EI, Kostroma II, Gritsaev SV, Pavlov YI. Genome Instability in Multiple Myeloma: Facts and Factors. Cancers (Basel) 2021; 13:5949. [PMID: 34885058 PMCID: PMC8656811 DOI: 10.3390/cancers13235949] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/20/2021] [Accepted: 11/22/2021] [Indexed: 02/06/2023] Open
Abstract
Multiple myeloma (MM) is a malignant neoplasm of terminally differentiated immunoglobulin-producing B lymphocytes called plasma cells. MM is the second most common hematologic malignancy, and it poses a heavy economic and social burden because it remains incurable and confers a profound disability to patients. Despite current progress in MM treatment, the disease invariably recurs, even after the transplantation of autologous hematopoietic stem cells (ASCT). Biological processes leading to a pathological myeloma clone and the mechanisms of further evolution of the disease are far from complete understanding. Genetically, MM is a complex disease that demonstrates a high level of heterogeneity. Myeloma genomes carry numerous genetic changes, including structural genome variations and chromosomal gains and losses, and these changes occur in combinations with point mutations affecting various cellular pathways, including genome maintenance. MM genome instability in its extreme is manifested in mutation kataegis and complex genomic rearrangements: chromothripsis, templated insertions, and chromoplexy. Chemotherapeutic agents used to treat MM add another level of complexity because many of them exacerbate genome instability. Genome abnormalities are driver events and deciphering their mechanisms will help understand the causes of MM and play a pivotal role in developing new therapies.
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Affiliation(s)
- Anna Y. Aksenova
- Laboratory of Amyloid Biology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Anna S. Zhuk
- International Laboratory “Computer Technologies”, ITMO University, 197101 St. Petersburg, Russia;
| | - Artem G. Lada
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA;
| | - Irina V. Zotova
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia; (I.V.Z.); (E.I.S.)
- Vavilov Institute of General Genetics, St. Petersburg Branch, Russian Academy of Sciences, 199034 St. Petersburg, Russia
| | - Elena I. Stepchenkova
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia; (I.V.Z.); (E.I.S.)
- Vavilov Institute of General Genetics, St. Petersburg Branch, Russian Academy of Sciences, 199034 St. Petersburg, Russia
| | - Ivan I. Kostroma
- Russian Research Institute of Hematology and Transfusiology, 191024 St. Petersburg, Russia; (I.I.K.); (S.V.G.)
| | - Sergey V. Gritsaev
- Russian Research Institute of Hematology and Transfusiology, 191024 St. Petersburg, Russia; (I.I.K.); (S.V.G.)
| | - Youri I. Pavlov
- Eppley Institute for Research in Cancer, Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
- Departments of Biochemistry and Molecular Biology, Microbiology and Pathology, Genetics Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
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Zmorzynski S, Wojcierowska-Litwin M, Popek-Marciniec S, Szudy-Szczyrek A, Styk W, Chocholska S, Filip AA. The Relationship of ABCB1/MDR1 and CYP1A1 Variants with the Risk of Disease Development and Shortening of Overall Survival in Patients with Multiple Myeloma. J Clin Med 2021; 10:5276. [PMID: 34830558 PMCID: PMC8618341 DOI: 10.3390/jcm10225276] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 11/05/2021] [Accepted: 11/09/2021] [Indexed: 12/24/2022] Open
Abstract
(1) Background: The aim of our study was to analyze the possible relationship of ABCB1 and CYP1A1 gene variants with susceptibility and outcome of multiple myeloma (MM); (2) Methods: Genomic DNA samples from 110 newly-diagnosed MM patients and 100 healthy blood donors were analyzed by methods-PCR-RFLP (for ABCB1 3435C > T, CYP1A1 6235T > C-m1), automated DNA sequencing (for ABCB1 1236C > T, 2677G > T/A) and allele-specific PCR (for CYP1A1 4889A > G-m2); (3) Results: The genotypic frequencies of CYP1A1 4889A > G variant were not in Hardy-Weinberg equilibrium for MM patients. The presence of m1 and m2 CYP1A1 alleles decreased the risk of MM-OR = 0.49 (p = 0.011) and OR = 0.27 (p = 0.0003), respectively. In turn, TT genotype (ABCB1 2677G > T/A) increased the risk of this disease (p = 0.007). In the multivariate Cox analysis CT + TT genotypes (ABCB1 3435C > T) were associated with decreased risk of death (HR = 0.29, p = 0.04). In log-rank test in patients with CT genotype (ABCB1 3435C > T) was observed association of overall survival with the type of treatment; (4) Conclusions: Our findings suggest that T-alleles of ABCB1 2677G > T/A and m1/m2 alleles of CYP1A1 affected the susceptibility of MM. Moreover, T-allele of ABCB1 3435C > T might be independent positive prognostic factor in MM.
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Affiliation(s)
- Szymon Zmorzynski
- Department of Cancer Genetics with Cytogenetic Laboratory, Medical University of Lublin, 20-059 Lublin, Poland; (M.W.-L.); (S.P.-M.); (A.A.F.)
| | - Magdalena Wojcierowska-Litwin
- Department of Cancer Genetics with Cytogenetic Laboratory, Medical University of Lublin, 20-059 Lublin, Poland; (M.W.-L.); (S.P.-M.); (A.A.F.)
| | - Sylwia Popek-Marciniec
- Department of Cancer Genetics with Cytogenetic Laboratory, Medical University of Lublin, 20-059 Lublin, Poland; (M.W.-L.); (S.P.-M.); (A.A.F.)
| | - Aneta Szudy-Szczyrek
- Chair and Department of Hematooncology and Bone Marrow Transplantation, Medical University of Lublin, 20-059 Lublin, Poland; (A.S.-S.); (S.C.)
| | - Wojciech Styk
- Department of Psychology, Institute of Pedagogy and Psychology, Warsaw Management University, 03-772 Warsaw, Poland;
| | - Sylwia Chocholska
- Chair and Department of Hematooncology and Bone Marrow Transplantation, Medical University of Lublin, 20-059 Lublin, Poland; (A.S.-S.); (S.C.)
| | - Agata Anna Filip
- Department of Cancer Genetics with Cytogenetic Laboratory, Medical University of Lublin, 20-059 Lublin, Poland; (M.W.-L.); (S.P.-M.); (A.A.F.)
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Puła A, Robak P, Mikulski D, Robak T. The Significance of mRNA in the Biology of Multiple Myeloma and Its Clinical Implications. Int J Mol Sci 2021; 22:12070. [PMID: 34769503 PMCID: PMC8584466 DOI: 10.3390/ijms222112070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 10/28/2021] [Accepted: 11/04/2021] [Indexed: 11/16/2022] Open
Abstract
Multiple myeloma (MM) is a genetically complex disease that results from a multistep transformation of normal to malignant plasma cells in the bone marrow. However, the molecular mechanisms responsible for the initiation and heterogeneous evolution of MM remain largely unknown. A fundamental step needed to understand the oncogenesis of MM and its response to therapy is the identification of driver mutations. The introduction of gene expression profiling (GEP) in MM is an important step in elucidating the molecular heterogeneity of MM and its clinical relevance. Since some mutations in myeloma occur in non-coding regions, studies based on the analysis of mRNA provide more comprehensive information on the oncogenic pathways and mechanisms relevant to MM biology. In this review, we discuss the role of gene expression profiling in understanding the biology of multiple myeloma together with the clinical manifestation of the disease, as well as its impact on treatment decisions and future directions.
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Affiliation(s)
- Anna Puła
- Department of Hematology, Medical University of Lodz, 93-510 Lodz, Poland;
| | - Paweł Robak
- Department of Experimental Hematology, Medical University of Lodz, 93-510 Lodz, Poland;
| | - Damian Mikulski
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, 92-215 Lodz, Poland;
| | - Tadeusz Robak
- Department of Hematology, Medical University of Lodz, 93-510 Lodz, Poland;
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Xu F, Xiao Z, Fan L, Ruan G, Cheng Y, Tian Y, Chen M, Chen D, Wei Y. RFWD3 Participates in the Occurrence and Development of Colorectal Cancer via E2F1 Transcriptional Regulation of BIRC5. Front Cell Dev Biol 2021; 9:675356. [PMID: 34712656 PMCID: PMC8547426 DOI: 10.3389/fcell.2021.675356] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 08/25/2021] [Indexed: 12/16/2022] Open
Abstract
Objectives: Colorectal cancer (CRC) is one of the most common human malignancies. It was reported that the alterations in the DNA damage response (DDR) pathways are emerging as novel targets for treatment across different cancer types including CRC. RFWD3 plays a critical role in replication protein A (RPA)-mediated DNA damage in cancer cells. More importantly, RFWD3 can response to DNA damage by positively regulating p53 stability when the G1 cell cycle checkpoint is activated. However, the functional significance of RFWD3 in CRC has not been reported in the existing documents. Materials and Methods: Here, we revealed high expression of RFWD3 in CRC tissues by IHC analysis and The Cancer Genome Atlas (TCGA) database. Besides, overexpression of RFWD3 in CRC cell lines was also confirmed by qRT-PCR and western blot assay. The Celigo cell counting method and wound-healing/transwell migration assay were applied to evaluate CRC cell proliferation and migration. The tumor growth indicators were quantified in nude mice xenografted with shRFWD3 and shCtrl RKO cells. Results: The results indicated that RFWD3 knockdown restricted CRC development in vitro and in vivo. In exploring the downstream mechanism of RFWD3’s action, we found that RFWD3 could transcriptionally activate BIRC5 by interacting with E2F transcription factor 1 (E2F1). Accordingly, we identified BIRC5 as a downstream gene of RFWD3 regulating CRC. Subsequent loss- and gain- of function experiments demonstrated that upon overexpressing BIRC5 in RKO cells with down-regulated RFWD3, the inhibitory effects of cell proliferation, migration and colony formation could be reversed, while the capacity of cell apoptosis was ameliorated, suggesting that the effects of RFWD3 depletion was mainly due to BIRC5 suppression. Conclusion: Taken together, this study revealed that RFWD3 participates in the occurrence and development of colorectal cancer via E2F1 transcriptional regulation of BIRC5.
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Affiliation(s)
- Fenghua Xu
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhifeng Xiao
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Liqin Fan
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Guangcong Ruan
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yi Cheng
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yuting Tian
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Minjia Chen
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Dongfeng Chen
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yanling Wei
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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Boustani H, Khodadi E, Shahidi M. Autophagy in Hematological Malignancies: Molecular Aspects in Leukemia and Lymphoma. Lab Med 2021; 52:16-23. [PMID: 32634208 DOI: 10.1093/labmed/lmaa027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The organization of the hematopoietic system is dependent on hematopoietic stem cells (HSCs) that are capable of self-renewal and multilineage differentiation to produce different blood cell lines. Autophagy has a central role in energy production and metabolism of the cells during starvation, cellular stress adaption, and removing mechanisms for aged or damaged organelles. The role and importance of autophagy pathways are becoming increasingly recognized in the literature because these pathways can be useful in organizing intracellular circulation, molecular complexes, and organelles to meet the needs of various hematopoietic cells. There is supporting evidence in the literature that autophagy plays an emerging role in the regulation of normal cells and that it also has important features in malignant hematopoiesis. Understanding the molecular details of the autophagy pathway can provide novel methods for more effective treatment of patients with leukemia. Overall, our review will emphasize the role of autophagy and its different aspects in hematological malignant neoplasms.
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Affiliation(s)
- Hassan Boustani
- Department of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Elahe Khodadi
- Thalassemia & Hemoglobinopathy Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Minoo Shahidi
- Department of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran
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Hemminki K, Försti A, Houlston R, Sud A. Epidemiology, genetics and treatment of multiple myeloma and precursor diseases. Int J Cancer 2021; 149:1980-1996. [PMID: 34398972 DOI: 10.1002/ijc.33762] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/20/2021] [Accepted: 07/26/2021] [Indexed: 12/17/2022]
Abstract
Multiple myeloma (MM) is a hematological malignancy caused by the clonal expansion of plasma cells. The incidence of MM worldwide is increasing with greater than 140 000 people being diagnosed with MM per year. Whereas 5-year survival after a diagnosis of MM has improved from 28% in 1975 to 56% in 2012, the disease remains essentially incurable. In this review, we summarize our current understanding of MM including its epidemiology, genetics and biology. We will also provide an overview of MM management that has led to improvements in survival, including recent changes to diagnosis and therapies. Areas of unmet need include the management of patients with high-risk MM, those with reduced performance status and those refractory to standard therapies. Ongoing research into the biology and early detection of MM as well as the development of novel therapies, such as immunotherapies, has the potential to influence MM practice in the future.
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Affiliation(s)
- Kari Hemminki
- Biomedical Center, Faculty of Medicine, Charles University in Pilsen, Pilsen, Czech Republic.,Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Asta Försti
- Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany.,Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.,The Department of Haemato-Oncology, The Royal Marsden Hospital NHS Foundation Trust, London, UK
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44
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Increased expression of IFI16 predicts adverse prognosis in multiple myeloma. THE PHARMACOGENOMICS JOURNAL 2021; 21:520-532. [PMID: 33712724 DOI: 10.1038/s41397-021-00230-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 01/19/2021] [Accepted: 02/18/2021] [Indexed: 01/31/2023]
Abstract
Multiple myeloma (MM) is a malignancy of terminally differentiated plasma cells and does not have sufficient prognostic indicators. Interferon gamma inducible protein 16 (IFI16) plays a crucial role in B-cell differentiation. Several studies have shown that IFI16 predicted prognosis in many cancers. However, the relationship between MM prognosis and IFI16 expression has not been studied. In our study, we analyzed the prognostic role of IFI16 expression and explored the possible mechanism in MM progression by using 4498 myeloma patients and 52 healthy donors from 13 independent gene expression omnibus (GEO) datasets. The IFI16 expression increased with myeloma progression, ISS stage, 1q21 amplification, and relapse (all P < 0.01). MM patients with higher IFI16 expression had shorter survival in six datasets (all P < 0.05). Furthermore, multivariate analysis indicated that enhanced IFI16 expression was an independent poor prognostic factor for EFS and OS (P = 0.007, 0.009, respectively). And PPI, GO, KEGG, and GSEA also confirmed that IFI16 promoted MM progression by participating in tumor-related pathways. In conclusion, our study confirmed that IFI16 was a poor prognostic biomarker in MM.
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Belachew AA, Wu X, Callender R, Waller R, Orlowski RZ, Vachon CM, Camp NJ, Ziv E, Hildebrandt MAT. Genetic determinants of multiple myeloma risk within the Wnt/beta-catenin signaling pathway. Cancer Epidemiol 2021; 73:101972. [PMID: 34216957 DOI: 10.1016/j.canep.2021.101972] [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: 03/17/2021] [Revised: 06/17/2021] [Accepted: 06/20/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Aberrant Wnt/beta-catenin pathway activation is implicated in Multiple Myeloma (MM) development, but little is known if genetic variants within this pathway contribute to MM susceptibility. METHODS We performed a discovery candidate pathway analysis in 269 non-Hispanic white MM cases and 272 controls focusing on 171 variants selected from 26 core genes within the Wnt/beta-catenin pathway. Significant candidate variants (P < 0.05) were selected for validation in internal and external non-Hispanic white populations totaling 818 cases and 1209 controls. We also examined significant variants in non-Hispanic black and Hispanic case/control study populations to identify potential differences by race/ethnicity. Possible biological functions of candidate variants were predicted in silico. RESULTS Seven variants were significantly associated with MM risk in non-Hispanic whites in the discovery population, of which LRP6:rs7966410 (OR: 0.57; 95 % CI: 0.38-0.88; P = 9.90 × 10-3) and LRP6:rs7956971 (OR: 0.64; 95 % CI: 0.44-0.95; P = 0.027) remained significant in the internal and external populations. CSNK1D:rs9901910 replicated among all three racial/ethnic groups, with 2-6 fold increased risk of MM (OR: 2.40; 95 % CI: 1.67-3.45; P = 2.43 × 10-6 - non-Hispanic white; OR: 6.42; 95 % CI: 2.47-16.7; P = 3.14 × 10-4 - non-Hispanic black; OR: 4.31; 95 % CI: 1.83-10.1; P = 8.10 × 10-4 - Hispanic). BTRC:rs7916830 was associated with a significant 37 % and 24 % reduced risk of MM in the non-Hispanic white (95 % CI: 0.49-0.82; P = 5.60 × 10-4) and non-Hispanic Black (95 % CI: 0.60-0.97; P = 0.028) population, respectively. In silico tools predicted that these loci altered function through via gene regulation. CONCLUSION We identified several variants within the Wnt/beta-catenin pathway associated with MM susceptibility. Findings of this study highlight the potential genetic role of Wnt/beta-catenin signaling in MM etiology among a diverse patient population.
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Affiliation(s)
- Alem A Belachew
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Rashida Callender
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Rosalie Waller
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, United States
| | - Robert Z Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Celine M Vachon
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55902, United States
| | - Nicola J Camp
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, United States
| | - Elad Ziv
- Department of Medicine, Division of General Internal Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California-San Francisco, San Francisco, CA, 94143, United States
| | - Michelle A T Hildebrandt
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States.
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46
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Lulla PD, Tzannou I, Vasileiou S, Carrum G, Ramos CA, Kamble R, Wang T, Wu M, Bilgi M, Gee AP, Mukhi S, Chung B, Wang L, Watanabe A, Kuvalekar M, Jeong M, Li Y, Ketkar S, French-Kim M, Grilley B, Brenner MK, Heslop HE, Vera JF, Leen AM. The safety and clinical effects of administering a multiantigen-targeted T cell therapy to patients with multiple myeloma. Sci Transl Med 2021; 12:12/554/eaaz3339. [PMID: 32727914 DOI: 10.1126/scitranslmed.aaz3339] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 06/02/2020] [Indexed: 12/11/2022]
Abstract
Multiple myeloma (MM) is an almost always incurable malignancy of plasma cells. Despite the advent of new therapies, most patients eventually relapse or become treatment-refractory. Consequently, therapies with nonoverlapping mechanisms of action that are nontoxic and provide long-term benefit to patients with MM are greatly needed. To this end, we clinically tested an autologous multitumor-associated antigen (mTAA)-specific T cell product for the treatment of patients with high-risk, relapsed or refractory MM. In this study, we expanded polyclonal T cells from 23 patients with MM. T cells whose native T cell receptors were reactive toward five myeloma-expressed target TAAs (PRAME, SSX2, MAGEA4, Survivin, and NY-ESO-1) were enriched ex vivo. To date, we have administered escalating doses of these nonengineered mTAA-specific T cells (0.5 × 107 to 2 × 107 cells/m2) to 21 patients with MM, 9 of whom were at high risk of relapse after a median of 3 lines of prior therapy and 12 with active, relapsed or refractory disease after a median of 3.5 prior lines. The cells were well tolerated, with only two transient, grade III infusion-related adverse events. Furthermore, patients with active relapsed or refractory myeloma enjoyed a longer than expected progression-free survival and responders included three patients who achieved objective responses concomitant with detection of functional TAA-reactive T cell clonotypes derived from the infused mTAA product.
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Affiliation(s)
- Premal D Lulla
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA.
| | - Ifigeneia Tzannou
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Spyridoula Vasileiou
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - George Carrum
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Carlos A Ramos
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Rammurti Kamble
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Tao Wang
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Mengfen Wu
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Mrinalini Bilgi
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Adrian P Gee
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Shivani Mukhi
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Betty Chung
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Linghua Wang
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Ayumi Watanabe
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Manik Kuvalekar
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Mira Jeong
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Yumei Li
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Shamika Ketkar
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Matthew French-Kim
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Bambi Grilley
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Malcolm K Brenner
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Helen E Heslop
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Juan F Vera
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
| | - Ann M Leen
- Center for Cell and Gene Therapy, Baylor College of Medicine, Texas Children's Hospital and Houston Methodist Hospital, Houston, TX 77030, USA
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47
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Wang J, Clay-Gilmour AI, Karaesmen E, Rizvi A, Zhu Q, Yan L, Preus L, Liu S, Wang Y, Griffiths E, Stram DO, Pooler L, Sheng X, Haiman C, Van Den Berg D, Webb A, Brock G, Spellman S, Pasquini M, McCarthy P, Allan J, Stölzel F, Onel K, Hahn T, Sucheston-Campbell LE. Genome-Wide Association Analyses Identify Variants in IRF4 Associated With Acute Myeloid Leukemia and Myelodysplastic Syndrome Susceptibility. Front Genet 2021; 12:554948. [PMID: 34220922 PMCID: PMC8248805 DOI: 10.3389/fgene.2021.554948] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 04/19/2021] [Indexed: 12/22/2022] Open
Abstract
The role of common genetic variation in susceptibility to acute myeloid leukemia (AML), and myelodysplastic syndrome (MDS), a group of rare clonal hematologic disorders characterized by dysplastic hematopoiesis and high mortality, remains unclear. We performed AML and MDS genome-wide association studies (GWAS) in the DISCOVeRY-BMT cohorts (2,309 cases and 2,814 controls). Association analysis based on subsets (ASSET) was used to conduct a summary statistics SNP-based analysis of MDS and AML subtypes. For each AML and MDS case and control we used PrediXcan to estimate the component of gene expression determined by their genetic profile and correlate this imputed gene expression level with risk of developing disease in a transcriptome-wide association study (TWAS). ASSET identified an increased risk for de novo AML and MDS (OR = 1.38, 95% CI, 1.26-1.51, Pmeta = 2.8 × 10-12) in patients carrying the T allele at s12203592 in Interferon Regulatory Factor 4 (IRF4), a transcription factor which regulates myeloid and lymphoid hematopoietic differentiation. Our TWAS analyses showed increased IRF4 gene expression is associated with increased risk of de novo AML and MDS (OR = 3.90, 95% CI, 2.36-6.44, Pmeta = 1.0 × 10-7). The identification of IRF4 by both GWAS and TWAS contributes valuable insight on the role of genetic variation in AML and MDS susceptibility.
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Affiliation(s)
- Junke Wang
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Alyssa I. Clay-Gilmour
- Department of Epidemiology, Mayo Clinic, Rochester, MN, United States
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Ezgi Karaesmen
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Abbas Rizvi
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Qianqian Zhu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Li Yan
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Leah Preus
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Song Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Yiwen Wang
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Elizabeth Griffiths
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Daniel O. Stram
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Loreall Pooler
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Xin Sheng
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Christopher Haiman
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - David Van Den Berg
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Amy Webb
- Department on Biomedical Informatics, The Ohio State University, Columbus, OH, United States
| | - Guy Brock
- Department on Biomedical Informatics, The Ohio State University, Columbus, OH, United States
| | - Stephen Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, United States
| | - Marcelo Pasquini
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Philip McCarthy
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - James Allan
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Friedrich Stölzel
- Department of Internal Medicine I, University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany
| | - Kenan Onel
- Department of Pediatrics, Mount Sinai Medical Center, Miami Beach, NY, United States
| | - Theresa Hahn
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Lara E. Sucheston-Campbell
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
- College of Veterinary Medicine, The Ohio State University, Columbus, OH, United States
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48
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Waller RG, Klein RJ, Vijai J, McKay JD, Clay-Gilmour A, Wei X, Madsen MJ, Sborov DW, Curtin K, Slager SL, Offit K, Vachon CM, Lipkin SM, Dumontet C, Camp NJ. Sequencing at lymphoid neoplasm susceptibility loci maps six myeloma risk genes. Hum Mol Genet 2021; 30:1142-1153. [PMID: 33751038 PMCID: PMC8188404 DOI: 10.1093/hmg/ddab066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 02/22/2021] [Accepted: 02/23/2021] [Indexed: 11/14/2022] Open
Abstract
Inherited genetic risk factors play a role in multiple myeloma (MM), yet considerable missing heritability exists. Rare risk variants at genome-wide association study (GWAS) loci are a new avenue to explore. Pleiotropy between lymphoid neoplasms (LNs) has been suggested in family history and genetic studies, but no studies have interrogated sequencing for pleiotropic genes or rare risk variants. Sequencing genetically enriched cases can help discover rarer variants. We analyzed exome sequencing in familial or early-onset MM cases to identify rare, functionally relevant variants near GWAS loci for a range of LNs. A total of 149 distinct and significant LN GWAS loci have been published. We identified six recurrent, rare, potentially deleterious variants within 5 kb of significant GWAS single nucleotide polymorphisms in 75 MM cases. Mutations were observed in BTNL2, EOMES, TNFRSF13B, IRF8, ACOXL and TSPAN32. All six genes replicated in an independent set of 255 early-onset MM or familial MM or precursor cases. Expansion of our analyses to the full length of these six genes resulted in a list of 39 rare and deleterious variants, seven of which segregated in MM families. Three genes also had significant rare variant burden in 733 sporadic MM cases compared with 935 control individuals: IRF8 (P = 1.0 × 10-6), EOMES (P = 6.0 × 10-6) and BTNL2 (P = 2.1 × 10-3). Together, our results implicate six genes in MM risk, provide support for genetic pleiotropy between LN subtypes and demonstrate the utility of sequencing genetically enriched cases to identify functionally relevant variants near GWAS loci.
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MESH Headings
- Acyl-CoA Oxidase/genetics
- Butyrophilins/genetics
- Female
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Hodgkin Disease/genetics
- Hodgkin Disease/pathology
- Humans
- Interferon Regulatory Factors/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/pathology
- Lymphocytes/pathology
- Lymphoma, Follicular/genetics
- Lymphoma, Follicular/pathology
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/pathology
- Male
- Multiple Myeloma/genetics
- Multiple Myeloma/pathology
- Polymorphism, Single Nucleotide/genetics
- Risk Factors
- T-Box Domain Proteins/genetics
- Tetraspanins/genetics
- Transmembrane Activator and CAML Interactor Protein/genetics
- Exome Sequencing
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Affiliation(s)
| | - Robert J Klein
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, Icahn Institute for Data Science and Genomic Technology, New York, NY 10029-5674, USA
| | - Joseph Vijai
- Department of Medicine, Clinical Genetics Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - James D McKay
- Genetic Cancer Susceptibility, International Agency for Research on Cancer, 69372 Lyon Cedex 08, France
| | - Alyssa Clay-Gilmour
- Department of Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Xiaomu Wei
- Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - Michael J Madsen
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Douglas W Sborov
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Karen Curtin
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Susan L Slager
- Department of Health Sciences, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | - Kenneth Offit
- Department of Medicine, Clinical Genetics Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - Celine M Vachon
- Department of Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Steven M Lipkin
- Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - Charles Dumontet
- INSERM 1052, CNRS 5286, University of Lyon, 69361 Lyon Cedex 07, France
| | - Nicola J Camp
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
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49
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Griffin Waller R, Madsen MJ, Gardner J, Sborov DW, Camp NJ. Duo Shared Genomic Segment analysis identifies a genome-wide significant risk locus at 18q21.33 in myeloma pedigrees. JOURNAL OF TRANSLATIONAL GENETICS AND GENOMICS 2021; 5:112-123. [PMID: 34888494 PMCID: PMC8654160 DOI: 10.20517/jtgg.2021.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
AIM High-risk pedigrees (HRPs) are a powerful design to map highly penetrant risk genes. We previously described Shared Genomic Segment (SGS) analysis, a mapping method for single large extended pedigrees that also addresses genetic heterogeneity inherent in complex diseases. SGS identifies shared segregating chromosomal regions that may inherit in only a subset of cases. However, single large pedigrees that are individually powerful (at least 15 meioses between studied cases) are scarce. Here, we expand the SGS strategy to incorporate evidence from two extended HRPs by identifying the same segregating risk locus in both pedigrees and allowing for some relaxation in the size of each HRP. METHODS Duo-SGS is a procedure to combine single-pedigree SGS evidence. It implements statistically rigorous duo-pedigree thresholding to determine genome-wide significance levels that account for optimization across pedigree pairs. Single-pedigree SGS identifies optimal segments shared by case subsets at each locus across the genome, with nominal significance assessed empirically. Duo-SGS combines the statistical evidence for SGS segments at the same genomic location in two pedigrees using Fisher's method. One pedigree is paired with all others and the best duo-SGS evidence at each locus across the genome is established. Genome-wide significance thresholds are determined through distribution-fitting and the Theory of Large Deviations. We applied the duoSGS strategy to eleven extended, myeloma HRPs. RESULTS We identified one genome-wide significant region at 18q21.33 (0.85 Mb, P = 7.3 × 10-9) which contains one gene, CDH20. Thirteen regions were genome-wide suggestive: 1q42.2, 2p16.1, 3p25.2, 5q21.3, 5q31.1, 6q16.1, 6q26, 7q11.23, 12q24.31, 13q13.3, 18p11.22, 18q22.3 and 19p13.12. CONCLUSION Our results provide novel risk loci with segregating evidence from multiple HRPs and offer compelling targets and specific segment carriers to focus a future search for functional variants involved in inherited risk formyeloma.
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Affiliation(s)
- Rosalie Griffin Waller
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- University of Utah School of Medicine, Salt Lake City, UT 84112, USA
- Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | | | - John Gardner
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
| | - Douglas W. Sborov
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Nicola J. Camp
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- University of Utah School of Medicine, Salt Lake City, UT 84112, USA
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50
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Zhu P, Qian T, Si C, Liu Y, Cui L, Huang W, Fu L, Deng C, Zeng T. High expression of CPNE5 and CPNE9 predicts positive prognosis in multiple myeloma. Cancer Biomark 2021; 31:77-85. [PMID: 33780365 DOI: 10.3233/cbm-203108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND CPNEs are significant biomarkers which can affect the progression and prognosis of various tumor diseases. However, the prognosis role of CPNEs in multiple myeloma (MM) is still unclear. OBJECTIVES To investigate the prognosis role of CPNEs in MM. METHODS Seven hundred and thirty-five samples from two independent data sets were involved to analyze the clinical and molecular characteristics, and prognosis role of the expression of CPNE1-9 in MM. RESULTS MM patients with higher expressions of CPNE5 and CPNE9 had longer event-free survival (EFS) and overall survival (OS) compared with CPNE5low and CPNE9low expression groups (EFS: P= 0.0054, 0.0065; OS: P= 0.015, 0.016, respectively). Multivariate regression analysis showed that CPNE5 was an independent favorable predictor for EFS and OS (EFS: P= 0.005; OS: P= 0.006), and CPNE9 was an independent positive indicator for EFS (P= 0.002). Moreover, the survival probability and the cumulative event of EFS and OS in CPNE5highCPNE9high group were significantly longer than other groups. CONCLUSIONS High expressions of CPNE5 and CPNE9 might be used as positive indicators for MM, and their combination was a better predictor for the survival of MM patients.
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Affiliation(s)
- Pei Zhu
- Department of Hematology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Translational Medicine Center, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumor Microenvironment, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Hematology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Tingting Qian
- Department of Hematology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Translational Medicine Center, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumor Microenvironment, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Hematology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Chaozeng Si
- Information Center, China-Japan Friendship Hospital, Beijing, China.,Department of Hematology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yan Liu
- Translational Medicine Center, Huaihe Hospital of Henan University, Kaifeng, Henan, China.,Department of Hematology, Huaihe Hospital of Henan University, Kaifeng, Henan, China
| | - Longzhen Cui
- Translational Medicine Center, Huaihe Hospital of Henan University, Kaifeng, Henan, China.,Department of Hematology, Huaihe Hospital of Henan University, Kaifeng, Henan, China
| | - Wenhui Huang
- Department of Hematology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Translational Medicine Center, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumor Microenvironment, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Lin Fu
- Department of Hematology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Translational Medicine Center, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumor Microenvironment, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Translational Medicine Center, Huaihe Hospital of Henan University, Kaifeng, Henan, China.,Department of Hematology, Huaihe Hospital of Henan University, Kaifeng, Henan, China
| | - Cong Deng
- Department of Clinical Laboratory, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Tiansheng Zeng
- Department of Hematology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Translational Medicine Center, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.,Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumor Microenvironment, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
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