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Vieira IA, Pezzi EH, Bandeira IC, Reis LB, de Araújo Rocha YM, Fernandes BV, Siebert M, Miyamoto KN, Siqueira MB, Achatz MI, Galvão HDCR, Garcia FADO, Campacci N, Carraro DM, Formiga MN, Vianna FSL, Palmero EI, Macedo GS, Ashton-Prolla P. Functional pri-miR-34b/c rs4938723 and KRAS 3'UTR rs61764370 SNPs: Novel phenotype modifiers in Li-Fraumeni Syndrome? Gene 2024; 898:148069. [PMID: 38070788 DOI: 10.1016/j.gene.2023.148069] [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: 07/25/2023] [Revised: 11/14/2023] [Accepted: 12/06/2023] [Indexed: 12/25/2023]
Abstract
PURPOSE Li-Fraumeni Syndrome (LFS) is a rare cancer predisposing condition caused by germline pathogenic TP53 variants, in which core tumors comprise sarcomas, breast, brain and adrenocortical neoplasms. Clinical manifestations are highly variable in carriers of the Brazilian germline founder variant TP53 p.R337H, possibly due to the influence of modifier genes such as miRNA genes involved in the regulation of the p53 pathway. Herein, we investigated the potential phenotypic effects of two miRNA-related functional SNPs, pri-miR-34b/c rs4938723 and 3'UTR KRAS rs61764370, in a cohort of 273 LFS patients from Southern and Southeastern Brazil. METHODS The genotyping of selected SNPs was performed by TaqMan® allelic discrimination and subsequently custom TaqMan® genotyping results were confirmed by Sanger sequencing in all SNP-positive LFS patients. RESULTS Although the KRAS SNP showed no effect as a phenotype modulator, the rs4938723 CC genotype was significantly associated with development of LFS non-core tumors (first tumor diagnosis) in p.R337H carriers (p = 0.039). Non-core tumors were also more frequently diagnosed in carriers of germline TP53 DNA binding domain variants harboring the rs4938723 C variant allele. Previous studies described pri-miR-34b/c rs4938723 C as a risk allele for sporadic occurrence of thyroid and prostate cancers (non-core tumors of the LFS spectrum). CONCLUSION With this study, we presented additional evidence about the importance of analyzing miRNA genes that could indirectly regulate p53 expression, and, therefore, may modulate the LFS phenotype, such as those of the miR-34 family.
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Affiliation(s)
- Igor Araujo Vieira
- Post-Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil; Genomic Medicine Laboratory, Experimental Research Center, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil; Health School, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo 93022-750, Brazil.
| | - Eduarda Heidrich Pezzi
- Genomic Medicine Laboratory, Experimental Research Center, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Larissa Brussa Reis
- Post-Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil; Genomic Medicine Laboratory, Experimental Research Center, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Yasminne Marinho de Araújo Rocha
- Genomic Medicine Laboratory, Experimental Research Center, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Bruna Vieira Fernandes
- Genomic Medicine Laboratory, Experimental Research Center, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Marina Siebert
- Experimental Research Center, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Monique Banik Siqueira
- Health School, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo 93022-750, Brazil
| | - Maria I Achatz
- Centro de Oncologia, Hospital Sírio-Libanês, São Paulo, Brazil
| | | | | | - Natalia Campacci
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil; Genomic Medicine Service from Hospital Beneficência Portuguesa de São Paulo, São Paulo, Brazil
| | | | | | - Fernanda Sales Luiz Vianna
- Post-Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil; Genomic Medicine Laboratory, Experimental Research Center, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil; Department of Genetics, UFRGS, Porto Alegre, Rio Grande do Sul, Brazil
| | - Edenir Inez Palmero
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil; Department of Genetics, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
| | - Gabriel S Macedo
- Genomic Medicine Laboratory, Experimental Research Center, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil; Hospital Moinhos de Vento (HMV), Porto Alegre, Rio Grande do Sul, Brazil; Experimental Research Center, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Patricia Ashton-Prolla
- Post-Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil; Genomic Medicine Laboratory, Experimental Research Center, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Rio Grande do Sul, Brazil; Department of Genetics, UFRGS, Porto Alegre, Rio Grande do Sul, Brazil; Medical Genetics Service, HCPA, Porto Alegre, Rio Grande do Sul, Brazil
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Nguyen NH, Dodd-Eaton EB, Peng G, Corredor JL, Jiao W, Woodman-Ross J, Arun BK, Wang W. LFSPROShiny: An Interactive R/Shiny App for Prediction and Visualization of Cancer Risks in Families With Deleterious Germline TP53 Mutations. JCO Clin Cancer Inform 2024; 8:e2300167. [PMID: 38346271 PMCID: PMC10871774 DOI: 10.1200/cci.23.00167] [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: 08/30/2023] [Revised: 11/13/2023] [Accepted: 12/19/2023] [Indexed: 02/15/2024] Open
Abstract
PURPOSE LFSPRO is an R library that implements risk prediction models for Li-Fraumeni syndrome (LFS), a genetic disorder characterized by deleterious germline mutations in the TP53 gene. To facilitate the use of these models in clinics, we developed LFSPROShiny, an interactive R/Shiny interface of LFSPRO that allows genetic counselors (GCs) to perform risk predictions without any programming components and further visualize the risk profiles of their patients to aid the decision-making process. METHODS LFSPROShiny implements two models that have been validated on multiple LFS patient cohorts: a competing risk model that predicts cancer-specific risks for the first primary and a recurrent-event model that predicts the risk of a second primary tumor. Starting with a visualization template, we keep regular contact with GCs, who ran LFSPROShiny in their counseling sessions, to collect feedback and discuss potential improvement. On receiving the family history as input, LFSPROShiny renders the family into a pedigree and displays the risk estimates of the family members in a tabular format. The software offers interactive overlaid side-by-side bar charts for visualization of the patients' cancer risks relative to the general population. RESULTS We walk through a detailed example to illustrate how GCs can run LFSPROShiny in clinics from data preparation to downstream analyses and interpretation of results with an emphasis on the utilities that LFSPROShiny provides to aid decision making. CONCLUSION Since December 2021, we have applied LFSPROShiny to over 100 families from counseling sessions at the MD Anderson Cancer Center. Our study suggests that software tools with easy-to-use interfaces are crucial for the dissemination of risk prediction models in clinical settings, hence serving as a guideline for future development of similar models.
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Affiliation(s)
- Nam H Nguyen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Statistics, Rice University, Houston, TX
| | - Elissa B Dodd-Eaton
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Gang Peng
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Jessica L Corredor
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wenwei Jiao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Statistics, North Caroline State University, Raleigh, NC
| | - Jacynda Woodman-Ross
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Banu K Arun
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wenyi Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
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Pinto EM, Fridman C, Figueiredo BC, Salvador H, Teixeira MR, Pinto C, Pinheiro M, Kratz CP, Lavarino C, Legal EAMF, Le A, Kelly G, Koeppe E, Stoffel EM, Breen K, Hahner S, Heinze B, Techavichit P, Krause A, Ogata T, Fujisawa Y, Walsh MF, Rana HQ, Maxwell KN, Garber JE, Rodriguez-Galindo C, Ribeiro RC, Zambetti GP. Multiple TP53 p.R337H haplotypes and implications for tumor susceptibility. HGG ADVANCES 2024; 5:100244. [PMID: 37794678 PMCID: PMC10597792 DOI: 10.1016/j.xhgg.2023.100244] [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: 07/11/2023] [Revised: 09/27/2023] [Accepted: 09/27/2023] [Indexed: 10/06/2023] Open
Abstract
The germline TP53 p.R337H mutation is reported as the most common germline TP53 variant. It exists at a remarkably high frequency in the population of southeast Brazil as founder mutation in two distinct haplotypes with the most frequent co-segregating with the p.E134∗ variant of the XAF1 tumor suppressor and an increased cancer risk. Founder mutations demonstrate linkage disequilibrium with neighboring genetic polymorphic markers that can be used to identify the founder variant in different geographic regions and diverse populations. We report here a shared haplotype among Brazilian, Portuguese, and Spanish families and the existence of three additional distinct TP53 p.R337H alleles. Mitochondrial DNA sequencing and Y-STR profiling of Brazilian carriers of the founder TP53 p.R337H allele reveal an excess of Native American haplogroups in maternal lineages and exclusively European haplogroups in paternal lineages, consistent with communities established through male European settlers with extensive intermarriage with Indigenous women. The identification of founder and independent TP53 p.R337H alleles underlines the importance for considering the haplotype as a functional unit and the additive effects of constitutive polymorphisms and associated variants in modifier genes that can influence the cancer phenotype.
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Affiliation(s)
- Emilia M Pinto
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Cintia Fridman
- Departamento de Medicina Legal, Bioética, Medicina do Trabalho e Medicina Física e Reabilitação, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | - Hector Salvador
- Pediatric Oncology Department, Sant Joan de Deu Hospital, Barcelona, Spain
| | - Manuel R Teixeira
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Porto, Portugal; Department of Laboratory Genetics, Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center and School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Porto, Portugal
| | - Carla Pinto
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Porto, Portugal
| | - Manuela Pinheiro
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Porto, Portugal
| | - Christian P Kratz
- Pediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany
| | - Cinzia Lavarino
- Pediatric Oncology Department, Sant Joan de Deu Hospital, Barcelona, Spain
| | - Edith A M F Legal
- Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Paraná, Brazil
| | - Anh Le
- Department of Medicine-Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gregory Kelly
- Department of Medicine-Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Erika Koeppe
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Elena M Stoffel
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Kelsey Breen
- Department of Pediatrics and Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Stefanie Hahner
- Department of Medicine I, Division of Endocrinology and Diabetology, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Britta Heinze
- Department of Medicine I, Division of Endocrinology and Diabetology, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Piti Techavichit
- Integrative and Innovative Hematology/Oncology Research Unit, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Amanda Krause
- Division of Human Genetics, National Health Laboratory Service (NHLS) and Faculty of Health Sciences, School of Pathology, The University of the Witwatersrand, Johannesburg, South Africa
| | - Tsutomu Ogata
- Department of Pediatrics, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Yasuko Fujisawa
- Department of Pediatrics, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Michael F Walsh
- Department of Pediatrics and Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Huma Q Rana
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kara N Maxwell
- Department of Medicine-Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Judy E Garber
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Carlos Rodriguez-Galindo
- Department of Global Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, TN, USA; Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Raul C Ribeiro
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Gerard P Zambetti
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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4
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Tjader NP, Beer AJ, Ramroop J, Tai MC, Ping J, Gandhi T, Dauch C, Neuhausen SL, Ziv E, Sotelo N, Ghanekar S, Meadows O, Paredes M, Gillespie J, Aeilts A, Hampel H, Zheng W, Jia G, Hu Q, Wei L, Liu S, Ambrosone CB, Palmer JR, Carpten JD, Yao S, Stevens P, Ho WK, Pan JW, Fadda P, Huo D, Teo SH, McElroy JP, Toland AE. Association of ESR1 germline variants with TP53 somatic variants in breast tumors in a genome-wide study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.06.23299442. [PMID: 38106140 PMCID: PMC10723566 DOI: 10.1101/2023.12.06.23299442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background In breast tumors, somatic mutation frequencies in TP53 and PIK3CA vary by tumor subtype and ancestry. HER2 positive and triple negative breast cancers (TNBC) have a higher frequency of TP53 somatic mutations than other subtypes. PIK3CA mutations are more frequently observed in hormone receptor positive tumors. Emerging data suggest tumor mutation status is associated with germline variants and genetic ancestry. We aimed to identify germline variants that are associated with somatic TP53 or PIK3CA mutation status in breast tumors. Methods A genome-wide association study was conducted using breast cancer mutation status of TP53 and PIK3CA and functional mutation categories including TP53 gain of function (GOF) and loss of function mutations and PIK3CA activating/hotspot mutations. The discovery analysis consisted of 2850 European ancestry women from three datasets. Germline variants showing evidence of association with somatic mutations were selected for validation analyses based on predicted function, allele frequency, and proximity to known cancer genes or risk loci. Candidate variants were assessed for association with mutation status in a multi-ancestry validation study, a Malaysian study, and a study of African American/Black women with TNBC. Results The discovery Germline x Mutation (GxM) association study found five variants associated with one or more TP53 phenotypes with P values <1×10-6, 33 variants associated with one or more TP53 phenotypes with P values <1×10-5, and 44 variants associated with one or more PIK3CA phenotypes with P values <1×10-5. In the multi-ancestry and Malaysian validation studies, germline ESR1 locus variant, rs9383938, was associated with the presence of TP53 mutations overall (P values 6.8×10-5 and 9.8×10-8, respectively) and TP53 GOF mutations (P value 8.4×10-6). Multiple variants showed suggestive evidence of association with PIK3CA mutation status in the validation studies, but none were significant after correction for multiple comparisons. Conclusions We found evidence that germline variants were associated with TP53 and PIK3CA mutation status in breast cancers. Variants near the estrogen receptor alpha gene, ESR1, were significantly associated with overall TP53 mutations and GOF mutations. Larger multi-ancestry studies are needed to confirm these findings and determine if these variants contribute to ancestry-specific differences in mutation frequency.
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Affiliation(s)
- Nijole P. Tjader
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Abigail J. Beer
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Johnny Ramroop
- The City College of New York, City University of New York, New York, NY, USA
| | - Mei-Chee Tai
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
| | - Jie Ping
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203
| | - Tanish Gandhi
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, OH 43210, USA
- The Ohio State University Medical School, Columbus, OH, 43210, USA
| | - Cara Dauch
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
- The Ohio State University Wexner Medical Center, Clinical Trials Office, Columbus, OH 43210, USA
| | - Susan L. Neuhausen
- Beckman Research Institute of City of Hope, Department of Population Sciences, Duarte, CA, USA
| | - Elad Ziv
- University of California, Helen Diller Family Comprehensive Cancer Center, San Francisco, San Francisco, CA, USA
- University of California, Department of Medicine, San Francisco, San Francisco, CA, USA
- University of California San Francisco, Institute for Human Genetics, San Francisco, CA, USA
| | - Nereida Sotelo
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Shreya Ghanekar
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Owen Meadows
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Monica Paredes
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Jessica Gillespie
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Amber Aeilts
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, 43210, USA
| | - Heather Hampel
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203
| | - Guochong Jia
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203
| | - Qiang Hu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Lei Wei
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Song Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Christine B. Ambrosone
- Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Julie R. Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - John D. Carpten
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
- Department of Integrative Translational Sciences, City of Hope, Duarte, CA
| | - Song Yao
- Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Patrick Stevens
- The Ohio State University Comprehensive Cancer Center, Bioinformatics Shared Resource, Columbus, OH, USA
| | - Weang-Kee Ho
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih, Selangor 43500, Malaysia
| | - Jia Wern Pan
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
| | - Paolo Fadda
- The Ohio State University Comprehensive Cancer Center, Genomics Shared Resource, Columbus, OH, USA
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60637, USA
| | - Soo-Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
- Faculty of Medicine, University Malaya Cancer Research Institute, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Joseph Paul McElroy
- The Ohio State University Center for Biostatistics, Department of Biomedical Informatics, Columbus, OH, USA
| | - Amanda Ewart Toland
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, 43210, USA
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5
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Fischer NW, Ma YHV, Gariépy J. Emerging insights into ethnic-specific TP53 germline variants. J Natl Cancer Inst 2023; 115:1145-1156. [PMID: 37352403 PMCID: PMC10560603 DOI: 10.1093/jnci/djad106] [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: 02/14/2023] [Revised: 05/09/2023] [Accepted: 06/02/2023] [Indexed: 06/25/2023] Open
Abstract
The recent expansion of human genomics repositories has facilitated the discovery of novel TP53 variants in populations of different ethnic origins. Interpreting TP53 variants is a major clinical challenge because they are functionally diverse, confer highly variable predisposition to cancer (including elusive low-penetrance alleles), and interact with genetic modifiers that alter tumor susceptibility. Here, we discuss how a cancer risk continuum may relate to germline TP53 mutations on the basis of our current review of genotype-phenotype studies and an integrative analysis combining functional and sequencing datasets. Our study reveals that each ancestry contains a distinct TP53 variant landscape defined by enriched ethnic-specific alleles. In particular, the discovery and characterization of suspected low-penetrance ethnic-specific variants with unique functional consequences, including P47S (African), G334R (Ashkenazi Jewish), and rs78378222 (Icelandic), may provide new insights in terms of managing cancer risk and the efficacy of therapy. Additionally, our analysis highlights infrequent variants linked to milder cancer phenotypes in various published reports that may be underdiagnosed and require further investigation, including D49H in East Asians and R181H in Europeans. Overall, the sequencing and projected functions of TP53 variants arising within ethnic populations and their interplay with modifiers, as well as the emergence of CRISPR screens and AI tools, are now rapidly improving our understanding of the cancer susceptibility spectrum, leading toward more accurate and personalized cancer risk assessments.
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Affiliation(s)
- Nicholas W Fischer
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Yu-Heng Vivian Ma
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Jean Gariépy
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, ON, Canada
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6
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Nicolini F, Todorovski T, Puig E, Díaz-Lobo M, Vilaseca M, García J, Andreu D, Giralt E. How Do Cancer-Related Mutations Affect the Oligomerisation State of the p53 Tetramerisation Domain? Curr Issues Mol Biol 2023; 45:4985-5004. [PMID: 37367066 DOI: 10.3390/cimb45060317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 05/29/2023] [Accepted: 06/02/2023] [Indexed: 06/28/2023] Open
Abstract
Tumour suppressor p53 plays a key role in the development of cancer and has therefore been widely studied in recent decades. While it is well known that p53 is biologically active as a tetramer, the tetramerisation mechanism is still not completely understood. p53 is mutated in nearly 50% of cancers, and mutations can alter the oligomeric state of the protein, having an impact on the biological function of the protein and on cell fate decisions. Here, we describe the effects of a number of representative cancer-related mutations on tetramerisation domain (TD) oligomerisation defining a peptide length that permits having a folded and structured domain, thus avoiding the effect of the flanking regions and the net charges at the N- and C-terminus. These peptides have been studied under different experimental conditions. We have applied a variety of techniques, including circular dichroism (CD), native mass spectrometry (MS) and high-field solution NMR. Native MS allows us to detect the native state of complexes maintaining the peptide complexes intact in the gas phase; the secondary and quaternary structures were analysed in solution by NMR, and the oligomeric forms were assigned by diffusion NMR experiments. A significant destabilising effect and a variable monomer population were observed for all the mutants studied.
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Affiliation(s)
- Federica Nicolini
- Institute for Research in Biomedicine (IRB Barcelona), Baldiri Reixac 10, 08028 Barcelona, Spain
| | - Toni Todorovski
- Institute for Research in Biomedicine (IRB Barcelona), Baldiri Reixac 10, 08028 Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona Biomedical Research Park, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Eduard Puig
- Institute for Research in Biomedicine (IRB Barcelona), Baldiri Reixac 10, 08028 Barcelona, Spain
| | - Mireia Díaz-Lobo
- Institute for Research in Biomedicine (IRB Barcelona), Baldiri Reixac 10, 08028 Barcelona, Spain
| | - Marta Vilaseca
- Institute for Research in Biomedicine (IRB Barcelona), Baldiri Reixac 10, 08028 Barcelona, Spain
| | - Jesús García
- Institute for Research in Biomedicine (IRB Barcelona), Baldiri Reixac 10, 08028 Barcelona, Spain
| | - David Andreu
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona Biomedical Research Park, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Ernest Giralt
- Institute for Research in Biomedicine (IRB Barcelona), Baldiri Reixac 10, 08028 Barcelona, Spain
- Department of Inorganic and Organic Chemistry, University of Barcelona, Martí i Franquès 1-11, 08028 Barcelona, Spain
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7
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Stieg D, Casey K, Murphy ME. p53 Oligomerization Domain Mutants: A New Class of Mutants That Retain "License to Kill". Cancer Discov 2023; 13:1046-1048. [PMID: 37139723 DOI: 10.1158/2159-8290.cd-23-0200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
SUMMARY In this issue of Cancer Discovery, companion articles from the Prives and Lozano groups describe functional analyses of a common dimeric mutant of p53 found in Li-Fraumeni disease and sporadic cancer: A347D (AD). The authors show that the AD mutant is completely defective for canonical p53 transcriptional function, but interestingly retains some tumor suppressor function, which they show is manifested as "neomorphic" activities in transcription and the control of mitochondrial metabolism. See related article by Gencel-Augusto et al., p. 1230 (7). See related article by Choe et al., p. 1250 (6).
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Affiliation(s)
- David Stieg
- Program in Molecular and Cellular Oncogenesis, The Wistar Institute, Philadelphia, Pennsylvania
| | - Kaitlyn Casey
- Program in Molecular and Cellular Oncogenesis, The Wistar Institute, Philadelphia, Pennsylvania
- Graduate Program in Cancer Biology, Saint Joseph's University, Philadelphia, Pennsylvania
| | - Maureen E Murphy
- Program in Molecular and Cellular Oncogenesis, The Wistar Institute, Philadelphia, Pennsylvania
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Gencel-Augusto J, Su X, Qi Y, Whitley EM, Pant V, Xiong S, Shah V, Lin J, Perez E, Fiorotto ML, Mahmud I, Jain AK, Lorenzi PL, Navin NE, Richie ER, Lozano G. Dimeric p53 Mutant Elicits Unique Tumor-Suppressive Activities through an Altered Metabolic Program. Cancer Discov 2023; 13:1230-1249. [PMID: 37067911 PMCID: PMC10164062 DOI: 10.1158/2159-8290.cd-22-0872] [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: 08/08/2022] [Revised: 12/20/2022] [Accepted: 02/27/2023] [Indexed: 04/18/2023]
Abstract
Cancer-related alterations of the p53 tetramerization domain (TD) abrogate wild-type (WT) p53 function. They result in a protein that preferentially forms monomers or dimers, which are also normal p53 states under basal cellular conditions. However, their physiologic relevance is not well understood. We have established in vivo models for monomeric and dimeric p53, which model Li-Fraumeni syndrome patients with germline p53 TD alterations. p53 monomers are inactive forms of the protein. Unexpectedly, p53 dimers conferred some tumor suppression that is not mediated by canonical WT p53 activities. p53 dimers upregulate the PPAR pathway. These activities are associated with lower prevalence of thymic lymphomas and increased CD8+ T-cell differentiation. Lymphomas derived from dimeric p53 mice show cooperating alterations in the PPAR pathway, further implicating a role for these activities in tumor suppression. Our data reveal novel functions for p53 dimers and support the exploration of PPAR agonists as therapies. SIGNIFICANCE New mouse models with TP53R342P (monomer) or TP53A347D (dimer) mutations mimic Li-Fraumeni syndrome. Although p53 monomers lack function, p53 dimers conferred noncanonical tumor-suppressive activities. We describe novel activities for p53 dimers facilitated by PPARs and propose these are "basal" p53 activities. See related commentary by Stieg et al., p. 1046. See related article by Choe et al., p. 1250. This article is highlighted in the In This Issue feature, p. 1027.
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Affiliation(s)
- Jovanka Gencel-Augusto
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences
- Department of Genetics, The University of Texas MD Anderson Cancer Center (MDACC)
| | - Xiaoping Su
- Department of Bioinformatics and Computational Biology, MDACC
| | - Yuan Qi
- Department of Bioinformatics and Computational Biology, MDACC
| | | | - Vinod Pant
- Department of Genetics, The University of Texas MD Anderson Cancer Center (MDACC)
| | - Shunbin Xiong
- Department of Genetics, The University of Texas MD Anderson Cancer Center (MDACC)
| | - Vrutant Shah
- Department of Genetics, The University of Texas MD Anderson Cancer Center (MDACC)
| | - Jerome Lin
- Department of Genetics, The University of Texas MD Anderson Cancer Center (MDACC)
| | | | - Marta L. Fiorotto
- USDA/Agricultural Research Service Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine
| | - Iqbal Mahmud
- Department of Bioinformatics and Computational Biology, MDACC
- Metabolomics Core Facility, MDACC
| | - Abhinav K. Jain
- Department of Epigenetics and Molecular Carcinogenesis, MDACC
| | - Philip L. Lorenzi
- Department of Bioinformatics and Computational Biology, MDACC
- Metabolomics Core Facility, MDACC
| | - Nicholas E. Navin
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences
- Department of Genetics, The University of Texas MD Anderson Cancer Center (MDACC)
| | - Ellen R. Richie
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences
- Department of Epigenetics and Molecular Carcinogenesis, MDACC
| | - Guillermina Lozano
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences
- Department of Genetics, The University of Texas MD Anderson Cancer Center (MDACC)
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p53 mutants G245S and R337H associated with the Li-Fraumeni syndrome regulate distinct metabolic pathways. Biochimie 2022; 198:141-154. [DOI: 10.1016/j.biochi.2022.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/28/2022] [Accepted: 03/07/2022] [Indexed: 12/13/2022]
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