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Wu Z, Hu Z, Li Q, Liu G, Oaknin A, Grau Bejar JF, Mills GB, Ma D, Sun C, Chen G. Molecular and clinical insights into early-onset endometrial cancer. Trends Cancer 2025:S2405-8033(25)00070-6. [PMID: 40133132 DOI: 10.1016/j.trecan.2025.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Revised: 02/24/2025] [Accepted: 03/04/2025] [Indexed: 03/27/2025]
Abstract
The global incidence of endometrial cancer is on the rise, marked by a notable surge in early-onset endometrial cancer (EOEC; age at diagnosis <50 years). By contrast to late-onset cases, EOEC displays distinct clinical, pathological, and molecular characteristics. The enhanced understanding of the disease's pathophysiology, enabling a more precise differentiation between low-risk and high-risk patients, could facilitate the establishment of risk-stratified treatments that preserve ovarian function and fertility in low-risk EOEC cases. In this review, we delve into the distinctive epidemiological, molecular, and clinical characteristics of EOEC, as well as early noninvasive screening and fertility preservation treatments.
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Affiliation(s)
- Zimeng Wu
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhe Hu
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qinlan Li
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Geyan Liu
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ana Oaknin
- Medical Oncology Service, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Juan Francisco Grau Bejar
- Medical Oncology Service, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | | | - Ding Ma
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chaoyang Sun
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Gang Chen
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Biller LH, Mittendorf K, Horiguchi M, Caruso A, Chittenden A, Ukaegbu C, Uno H, Syngal S, Yurgelun MB. Comparison of PREMM5 and PREMMplus Risk Assessment Models to Identify Lynch Syndrome. JCO Precis Oncol 2025; 9:e2400691. [PMID: 39772830 PMCID: PMC11723481 DOI: 10.1200/po-24-00691] [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: 09/25/2024] [Revised: 11/07/2024] [Accepted: 12/09/2024] [Indexed: 01/11/2025] Open
Abstract
PURPOSE Clinical risk assessment models can identify patients with hereditary cancer susceptibility, but it is unknown how multigene cancer syndrome prediction models compare with syndrome-specific models in assessing risk for individual syndromes such as Lynch syndrome (LS). Our aim was to compare PREMMplus (a 19-gene cancer risk prediction model) with PREMM5 (a LS gene-specific model) for LS identification. METHODS We analyzed data from two cohorts of patients undergoing germline testing from a commercial laboratory (n = 12,020) and genetics clinic (n = 6,232) with personal and/or family histories of LS-associated cancer. Individual PREMMplus and PREMM5 scores were calculated for all patients. Using a score cutoff of ≥ 2.5%, we calculated the sensitivity, specificity, positive predictive value, and negative predictive value (NPV) for identifying LS with each model. Overall ability to discriminate LS carriers from noncarriers was measured using receiver operating characteristic (ROC)-AUC. RESULTS PREMMplus had higher sensitivity than PREMM5 in the laboratory- (63.7% [95% CI, 57.0 to 70.0] v 89.2% [95% CI, 84.4 to 93.0]) and clinic-based cohorts (60.8% [95% CI, 52.7 to 68.4] v 90.5% [95% CI, 84.8 to 94.6]). NPV was ≥98.8% for both models in both cohorts. PREMM5 had superior discriminatory capacity to PREMMplus in the laboratory- (ROC-AUC, 0.81 [95% CI, 0.77 to 0.84] v 0.71 [95% CI, 0.67 to 0.75]) and clinic-based cohorts (ROC-AUC, 0.79 [95% CI, 0.75 to 0.84] v 0.68 [95% CI, 0.64 to 0.73]). CONCLUSION Both PREMM5 and PREMMplus demonstrated high NPVs (>98%) in LS discrimination across all patient cohorts, and both models may be used to identify individuals at risk of LS. The choice of which model to use can be based on the goals of risk assessment and patient population.
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Affiliation(s)
- Leah H. Biller
- Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Brigham & Women's Hospital, Boston, MA
| | - Kate Mittendorf
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Miki Horiguchi
- Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | | | | | | | - Hajime Uno
- Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Sapna Syngal
- Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Brigham & Women's Hospital, Boston, MA
| | - Matthew B. Yurgelun
- Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Brigham & Women's Hospital, Boston, MA
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Hung FH, Peng HP, Hung CF, Hsieh LL, Yang AS, Wang YA. Performance evaluation of predictive models for detecting MMR gene mutations associated with Lynch syndrome in cancer patients in a Chinese cohort in Taiwan. Int J Cancer 2024; 155:2201-2210. [PMID: 39032036 DOI: 10.1002/ijc.35106] [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: 04/06/2024] [Revised: 06/08/2024] [Accepted: 06/19/2024] [Indexed: 07/22/2024]
Abstract
Identifying Lynch syndrome significantly impacts cancer risk management, treatment, and prognosis. Validation of mutation risk predictive models for mismatch repair (MMR) genes is crucial for guiding genetic counseling and testing, particularly in the understudied Asian population. We evaluated the performance of four MMR mutation risk predictive models in a Chinese cohort of 604 patients with colorectal cancer (CRC), endometrial cancer (EC), or ovarian cancer (OC) in Taiwan. All patients underwent germline genetic testing and 36 (6.0%) carried a mutation in the MMR genes (MLH1, MSH2, MSH6, and PMS2). All models demonstrated good performance, with area under the receiver operating characteristic curves comparable to Western cohorts: PREMM5 0.80 (95% confidence interval [CI], 0.73-0.88), MMRPro 0.88 (95% CI, 0.82-0.94), MMRPredict 0.82 (95% CI, 0.74-0.90), and Myriad 0.76 (95% CI, 0.67-0.84). Notably, MMRPro exhibited exceptional performance across all subgroups regardless of family history (FH+ 0.88, FH- 0.83), cancer type (CRC 0.84, EC 0.85, OC 1.00), or sex (male 0.83, female 0.90). PREMM5 and MMRPredict had good accuracy in the FH+ subgroup (0.85 and 0.82, respectively) and in CRC patients (0.76 and 0.82, respectively). Using the ratio of observed and predicted mutation rates, MMRPro and PREMM5 had good overall fit, while MMRPredict and Myriad overestimated mutation rates. Risk threshold settings in different models led to different positive predictive values. We suggest a lower threshold (5%) for recommending genetic testing when using MMRPro, and a higher threshold (20%) when using PREMM5 and MMRPredict. Our findings have important implications for personalized mutation risk assessment and counseling on genetic testing.
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Affiliation(s)
- Fei-Hung Hung
- Health Data Analytics and Statistics Center, Office of Data Science, Taipei Medical University, Taipei, Taiwan
| | - Hung-Pin Peng
- Biomedical Translation Research Center, Academia Sinica, Taipei, Taiwan
| | - Chen-Fang Hung
- Department of Research, Koo Foundation Sun-Yat Sen Cancer Center, Taipei, Taiwan
| | - Ling-Ling Hsieh
- Department of Internal Medicine, Koo Foundation Sun-Yat Sen Cancer Center, Taipei, Taiwan
| | - An-Suei Yang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yong Alison Wang
- Department of Internal Medicine, Koo Foundation Sun-Yat Sen Cancer Center, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
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Evaristo G, Harmath C, Segal JP, Shergill A, Setia N. Diagnostic Challenges due to a Germline Missense MSH2 Variant in a Patient With Immunotherapy-Responsive Locally Advanced Rectal Adenocarcinoma. Cancer Rep (Hoboken) 2024; 7:e70037. [PMID: 39696980 DOI: 10.1002/cnr2.70037] [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: 04/21/2024] [Revised: 08/28/2024] [Accepted: 10/14/2024] [Indexed: 12/20/2024] Open
Abstract
BACKGROUND Rapid and accurate identification of mismatch repair (MMR) deficiency and Lynch syndrome is critical in the prognostication and clinical management of patients with colorectal carcinoma. CASE DESCRIPTION We describe here a young woman who developed a locally aggressive rectal adenocarcinoma with intact MMR protein expression by immunohistochemistry and absence of histologic evidence of MMR deficiency-associated increased tumoral immune response. Germline DNA-targeted sequencing identified MSH2 variant p.R711P, initially classified as a variant of undetermined significance. Somatic tumoral DNA analysis revealed the identical MSH2 variant, high tumor mutational burden, and microsatellite instability, in addition to superimposed alterations in β2-microglobulin gene, possibly explaining the altered intratumoral immunity. Consequently, the patient was started on immunotherapy, leading to successful disease control (33 month follow-up). CONCLUSION The findings emphasize the utility of an integrative approach in the assessment of MMR status for determining candidacy for immunotherapy, especially in the setting of missense variants in MMR genes.
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Affiliation(s)
- Gertruda Evaristo
- Department of Pathology, The University of Chicago, Chicago, Illinois, USA
| | - Carla Harmath
- Department of Radiology, The University of Chicago, Chicago, Illinois, USA
| | - Jeremy P Segal
- Department of Pathology, The University of Chicago, Chicago, Illinois, USA
| | - Ardaman Shergill
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois, USA
| | - Namrata Setia
- Department of Pathology, The University of Chicago, Chicago, Illinois, USA
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Holtzman S, Cox M, Blank SV. The Current State-or Lack Thereof-of Screening and Prevention for Gynecologic Malignancies for Patients With Lynch Syndrome. Clin Obstet Gynecol 2024; 67:687-695. [PMID: 39431490 DOI: 10.1097/grf.0000000000000892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
Abstract
Lynch syndrome (LS) is an autosomal dominant genetic disorder that results in an increased risk of ovarian and endometrial cancers. The aim of this paper was to explore the management of this risk through screening and prevention. Published materials and evidence were explored and summarized. This paper demonstrated that while there has been increased awareness and advances in the identification and diagnosis of patients with LS, recommendations for screening and prevention remain less evidence-based. In decisions of management of patients with LS, a shared decision-making model should be used considering individual patient goals.
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Affiliation(s)
- Sharonne Holtzman
- Department of Obstetrics, Gynecology and Reproductive Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
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Chen YP, Hsiao TH, Lin WT, Liao YJ, Liao SC, Tsai HJ, Chen YJ, Jhan PP, Kao PY, Lin YC, Chuang HN. Characteristics of Cancer in Subjects Carrying Lynch Syndrome-Associated Gene Variants in Taiwanese Population: A Hospital-Based Study in Taiwan. Cancers (Basel) 2024; 16:3682. [PMID: 39518119 PMCID: PMC11544957 DOI: 10.3390/cancers16213682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Revised: 10/26/2024] [Accepted: 10/29/2024] [Indexed: 11/16/2024] Open
Abstract
Lynch syndrome (LS) is an autosomal dominant disorder characterized by increased risks of colorectal and endometrial cancers. LS is defined by pathogenic variants in mismatch repair (MMR) genes, including MLH1, MSH2, and MSH6. Data on the prevalence and associated cancer risks of LS in the Han Chinese population remain limited. In this study, using a broad biobank approach through the Taiwan Precision Medicine Initiative (TPMI), we identified LS-associated MMR gene variants within a cohort of 42,828 participants from a Taiwanese medical center. A total of 89 individuals were found to carry pathogenic MMR variants: MLH1 (n = 22, 25%), MSH2 (n = 47, 53%), and MSH6 (n = 20, 22%). The overall prevalence of MMR variants was calculated, and cancer incidence rates among carriers were determined. The prevalence of MMR variants in the study population was 1 in 481. The distribution of MLH1, MSH2, and MSH6 variants were 24.7%, 52.8%, and 22.5%, respectively. Cumulative cancer incidence rates of carriers were 40.9% for MLH1 carriers, 29.8% for MSH2, and 40% for MSH6. Among the 19 individuals who underwent colonoscopy screening, the prevalence of polyps was similar to that of the control group (adenoma detection rate: 32% vs 26%, p = 0.585). A meticulous analysis of the detected polyps in seven participants, considering factors such as location, size, morphology, and pathological features, showed no significant differences from controls. A significant cancer risk is associated with LS-related MMR variants in the Taiwanese population. The apparent under diagnosis of LS highlights the urgent need for enhanced surveillance and genetic counseling in this demographic. Our findings suggest that adjustments in the current screening protocols may be warranted to better identify and manage at-risk individuals.
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Affiliation(s)
- Yi-Peng Chen
- Division of Gastroenterology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (Y.-P.C.); (W.-T.L.); (Y.-J.L.); (S.-C.L.); (H.-J.T.)
| | - Tzu-Hung Hsiao
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (T.-H.H.); (Y.-J.C.); (P.-P.J.); (P.-Y.K.)
- Department of Public Health, Fu Jen Catholic University, New Taipei City 24205, Taiwan
- Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 40227, Taiwan
| | - Wan-Tzu Lin
- Division of Gastroenterology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (Y.-P.C.); (W.-T.L.); (Y.-J.L.); (S.-C.L.); (H.-J.T.)
| | - Yi-Jun Liao
- Division of Gastroenterology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (Y.-P.C.); (W.-T.L.); (Y.-J.L.); (S.-C.L.); (H.-J.T.)
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 40227, Taiwan
| | - Szu-Chia Liao
- Division of Gastroenterology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (Y.-P.C.); (W.-T.L.); (Y.-J.L.); (S.-C.L.); (H.-J.T.)
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 40227, Taiwan
| | - Hsin-Ju Tsai
- Division of Gastroenterology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (Y.-P.C.); (W.-T.L.); (Y.-J.L.); (S.-C.L.); (H.-J.T.)
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 40227, Taiwan
| | - Yen-Ju Chen
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (T.-H.H.); (Y.-J.C.); (P.-P.J.); (P.-Y.K.)
- Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
| | - Pei-Pei Jhan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (T.-H.H.); (Y.-J.C.); (P.-P.J.); (P.-Y.K.)
| | - Pei-Ying Kao
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (T.-H.H.); (Y.-J.C.); (P.-P.J.); (P.-Y.K.)
| | - Ying-Cheng Lin
- Division of Gastroenterology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (Y.-P.C.); (W.-T.L.); (Y.-J.L.); (S.-C.L.); (H.-J.T.)
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 40227, Taiwan
| | - Han-Ni Chuang
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (T.-H.H.); (Y.-J.C.); (P.-P.J.); (P.-Y.K.)
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Zhong L, Wang W, Duan Y, Song L, Li Z, Yang K, Li Q, Yin R. A new subtype of Lynch syndrome associated with MSH2 c.354T>A (p. Y118*) identified in a Chinese family: case report and literature review. Front Genet 2024; 15:1440179. [PMID: 39440242 PMCID: PMC11494679 DOI: 10.3389/fgene.2024.1440179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Accepted: 09/17/2024] [Indexed: 10/25/2024] Open
Abstract
Background Lynch syndrome (LS) is an autosomal dominant inherited disorder caused by mutations in mismatch repair genes. Genetic counseling is crucial for the prevention and treatment of LS, as individuals with these mutations have an increased lifetime risk of developing multiple cancers. MutS Homolog 2 (MSH2) is a protein-coding gene that plays a key role in LS. A significant number of LS cases are linked to harmful heterozygous mutations in the MSH2 gene. Case Presentation The proband was a 50-year-old endometrial dedifferentiated carcinoma patient with a dMMR/MSI-H tumor negative for MSH2/MSH6 expression by immunohistochemistry. Genetic counseling and tumor gene testing were conducted using next-generation sequencing (NGS) technology, which revealed a previously unknown germline MSH2 gene nonsense mutation NM_000251.2:exon2.354T>A (p.Y118*), leading to a diagnosis of LS. Further analysis of this variant in five family members of the patient confirmed its presence in all individuals, with one family member being diagnosed with colorectal cancer (CRC) at the age of 43. The proband received postoperative chemoradiotherapy and achieved a disease-free survival of 2 years, with ongoing follow-up. Conclusion This study provides evidence that the MSH2 nonsense mutation c.354T>A is a highly likely pathogenic mutation and is responsible for typical LS-associated endometrial carcinoma. It emphasizes the importance of genetic counseling for proband family members to facilitate early diagnosis of LS-related carcinoma.
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Affiliation(s)
- Lan Zhong
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Chengdu, Sichuan, China
| | - Wenxiang Wang
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Chengdu, Sichuan, China
- Department of Gynecologic Oncology, Central Hospital of Xinxiang, The Fourth Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Yuanqiong Duan
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Chengdu, Sichuan, China
| | - Liang Song
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Chengdu, Sichuan, China
| | - Zhanghuan Li
- Department of Gynecologic Oncology, Central Hospital of Xinxiang, The Fourth Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Kaixuan Yang
- Department of Pathology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qintong Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Chengdu, Sichuan, China
| | - Rutie Yin
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Chengdu, Sichuan, China
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Pavelescu LA, Enache RM, Roşu OA, Profir M, Creţoiu SM, Gaspar BS. Predictive Biomarkers and Resistance Mechanisms of Checkpoint Inhibitors in Malignant Solid Tumors. Int J Mol Sci 2024; 25:9659. [PMID: 39273605 PMCID: PMC11395316 DOI: 10.3390/ijms25179659] [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: 08/22/2024] [Revised: 09/04/2024] [Accepted: 09/05/2024] [Indexed: 09/15/2024] Open
Abstract
Predictive biomarkers for immune checkpoint inhibitors (ICIs) in solid tumors such as melanoma, hepatocellular carcinoma (HCC), colorectal cancer (CRC), non-small cell lung cancer (NSCLC), endometrial carcinoma, renal cell carcinoma (RCC), or urothelial carcinoma (UC) include programmed cell death ligand 1 (PD-L1) expression, tumor mutational burden (TMB), defective deoxyribonucleic acid (DNA) mismatch repair (dMMR), microsatellite instability (MSI), and the tumor microenvironment (TME). Over the past decade, several types of ICIs, including cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) inhibitors, anti-programmed cell death 1 (PD-1) antibodies, anti-programmed cell death ligand 1 (PD-L1) antibodies, and anti-lymphocyte activation gene-3 (LAG-3) antibodies have been studied and approved by the Food and Drug Administration (FDA), with ongoing research on others. Recent studies highlight the critical role of the gut microbiome in influencing a positive therapeutic response to ICIs, emphasizing the importance of modeling factors that can maintain a healthy microbiome. However, resistance mechanisms can emerge, such as increased expression of alternative immune checkpoints, T-cell immunoglobulin (Ig), mucin domain-containing protein 3 (TIM-3), LAG-3, impaired antigen presentation, and alterations in the TME. This review aims to synthesize the data regarding the interactions between microbiota and immunotherapy (IT). Understanding these mechanisms is essential for optimizing ICI therapy and developing effective combination strategies.
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Affiliation(s)
- Luciana Alexandra Pavelescu
- Department of Morphological Sciences, Cell and Molecular Biology and Histology, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
| | - Robert Mihai Enache
- Department of Radiology and Medical Imaging, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Oana Alexandra Roşu
- Department of Morphological Sciences, Cell and Molecular Biology and Histology, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Oncology, Elias University Emergency Hospital, 011461 Bucharest, Romania
| | - Monica Profir
- Department of Morphological Sciences, Cell and Molecular Biology and Histology, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Oncology, Elias University Emergency Hospital, 011461 Bucharest, Romania
| | - Sanda Maria Creţoiu
- Department of Morphological Sciences, Cell and Molecular Biology and Histology, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
| | - Bogdan Severus Gaspar
- Department of Surgery, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Surgery Clinic, Bucharest Emergency Clinical Hospital, 014461 Bucharest, Romania
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Nguyen NH, Dodd-Eaton EB, Corredor JL, Woodman-Ross J, Green S, Gutierrez AM, Arun BK, Wang W. Validating Risk Prediction Models for Multiple Primaries and Competing Cancer Outcomes in Families With Li-Fraumeni Syndrome Using Clinically Ascertained Data. J Clin Oncol 2024; 42:2186-2195. [PMID: 38569124 PMCID: PMC11191065 DOI: 10.1200/jco.23.01926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 12/02/2023] [Accepted: 02/07/2024] [Indexed: 04/05/2024] Open
Abstract
PURPOSE There exists a barrier between developing and disseminating risk prediction models in clinical settings. We hypothesize that this barrier may be lifted by demonstrating the utility of these models using incomplete data that are collected in real clinical sessions, as compared with the commonly used research cohorts that are meticulously collected. MATERIALS AND METHODS Genetic counselors (GCs) collect family history when patients (ie, probands) come to MD Anderson Cancer Center for risk assessment of Li-Fraumeni syndrome, a genetic disorder characterized by deleterious germline mutations in the TP53 gene. Our clinical counseling-based (CCB) cohort consists of 3,297 individuals across 124 families (522 cases of single primary cancer and 125 cases of multiple primary cancers). We applied our software suite LFSPRO to make risk predictions and assessed performance in discrimination using AUC and in calibration using observed/expected (O/E) ratio. RESULTS For prediction of deleterious TP53 mutations, we achieved an AUC of 0.78 (95% CI, 0.71 to 0.85) and an O/E ratio of 1.66 (95% CI, 1.53 to 1.80). Using the LFSPRO.MPC model to predict the onset of the second cancer, we obtained an AUC of 0.70 (95% CI, 0.58 to 0.82). Using the LFSPRO.CS model to predict the onset of different cancer types as the first primary, we achieved AUCs between 0.70 and 0.83 for sarcoma, breast cancer, or other cancers combined. CONCLUSION We describe a study that fills in the critical gap in knowledge for the utility of risk prediction models. Using a CCB cohort, our previously validated models have demonstrated good performance and outperformed the standard clinical criteria. Our study suggests that better risk counseling may be achieved by GCs using these already-developed mathematical models.
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Affiliation(s)
- Nam H. Nguyen
- The University of Texas MD Anderson Cancer Center, Department of Bioinformatics and Computation Biology, Houston, TX
- Rice University, Department of Statistics, Houston, TX
| | - Elissa B. Dodd-Eaton
- The University of Texas MD Anderson Cancer Center, Department of Bioinformatics and Computation Biology, Houston, TX
| | - Jessica L. Corredor
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
| | - Jacynda Woodman-Ross
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
| | - Sierra Green
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
| | - Angelica M. Gutierrez
- The University of Texas MD Anderson Cancer Center, Department of Breast Medical Oncology, Houston, TX
| | - Banu K. Arun
- The University of Texas MD Anderson Cancer Center, Department of Clinical Cancer Genetics, Houston, TX
- The University of Texas MD Anderson Cancer Center, Department of Breast Medical Oncology, Houston, TX
| | - Wenyi Wang
- The University of Texas MD Anderson Cancer Center, Department of Bioinformatics and Computation Biology, Houston, TX
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10
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Dal Buono A, Puccini A, Franchellucci G, Airoldi M, Bartolini M, Bianchi P, Santoro A, Repici A, Hassan C. Lynch Syndrome: From Multidisciplinary Management to Precision Prevention. Cancers (Basel) 2024; 16:849. [PMID: 38473212 DOI: 10.3390/cancers16050849] [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: 01/16/2024] [Revised: 02/10/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND AND AIMS Lynch syndrome (LS) is currently one of the most prevalent hereditary cancer conditions, accounting for 3% of all colorectal cancers and for up to 15% of those with DNA mismatch repair (MMR) deficiency, and it was one of the first historically identified. The understanding of the molecular carcinogenesis of LS tumors has progressed significantly in recent years. We aim to review the most recent advances in LS research and explore genotype-based approaches in surveillance, personalized cancer prevention, and treatment strategies. METHODS PubMed was searched to identify relevant studies, conducted up to December 2023, investigating molecular carcinogenesis in LS, surveillance strategies, cancer prevention, and treatment in LS tumors. RESULTS Multigene panel sequencing is becoming the benchmark in the diagnosis of LS, allowing for the detection of a pathogenic constitutional variant in one of the MMR genes. Emerging data from randomized controlled trials suggest possible preventive roles of resistant starch and/or aspirin in LS. Vaccination with immunogenic frameshift peptides appears to be a promising approach for both the treatment and prevention of LS-associated cancers, as evidenced by pre-clinical and preliminary phase 1/2a studies. CONCLUSIONS Although robust diagnostic algorithms, including prompt testing of tumor tissue for MMR defects and referral for genetic counselling, currently exist for suspected LS in CRC patients, the indications for LS screening in cancer-free individuals still need to be refined and standardized. Investigation into additional genetic and non-genetic factors that may explain residual rates of interval cancers, even in properly screened populations, would allow for more tailored preventive strategies.
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Affiliation(s)
- Arianna Dal Buono
- Department of Gastroenterology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy
| | - Alberto Puccini
- Medical Oncology and Haematology Unit, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy
| | - Gianluca Franchellucci
- Department of Gastroenterology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Milan, Italy
| | - Marco Airoldi
- Department of Gastroenterology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Milan, Italy
| | - Michela Bartolini
- Department of Gastroenterology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Milan, Italy
| | - Paolo Bianchi
- Clinical Analysis Laboratory, Oncological Molecular Genetics Section, IRCCS Humanitas Research Hospital, 20089 Rozzano, Milan, Italy
| | - Armando Santoro
- Medical Oncology and Haematology Unit, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Milan, Italy
| | - Alessandro Repici
- Department of Gastroenterology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Milan, Italy
| | - Cesare Hassan
- Department of Gastroenterology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Milan, Italy
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11
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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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12
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Taraszka K, Groha S, King D, Tell R, White K, Ziv E, Zaitlen N, Gusev A. A comprehensive analysis of clinical and polygenic germline influences on somatic mutational burden. Am J Hum Genet 2024; 111:242-258. [PMID: 38211585 PMCID: PMC10870141 DOI: 10.1016/j.ajhg.2023.12.010] [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: 07/18/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 01/13/2024] Open
Abstract
Tumor mutational burden (TMB), the total number of somatic mutations in the tumor, and copy number burden (CNB), the corresponding measure of aneuploidy, are established fundamental somatic features and emerging biomarkers for immunotherapy. However, the genetic and non-genetic influences on TMB/CNB and, critically, the manner by which they influence patient outcomes remain poorly understood. Here, we present a large germline-somatic study of TMB/CNB with >23,000 individuals across 17 cancer types, of which 12,000 also have extensive clinical, treatment, and overall survival (OS) measurements available. We report dozens of clinical associations with TMB/CNB, observing older age and male sex to have a strong effect on TMB and weaker impact on CNB. We additionally identified significant germline influences on TMB/CNB, including fine-scale European ancestry and germline polygenic risk scores (PRSs) for smoking, tanning, white blood cell counts, and educational attainment. We quantify the causal effect of exposures on somatic mutational processes using Mendelian randomization. Many of the identified features associated with TMB/CNB were additionally associated with OS for individuals treated at a single tertiary cancer center. For individuals receiving immunotherapy, we observed a complex relationship between PRSs for educational attainment, self-reported college attainment, TMB, and survival, suggesting that the influence of this biomarker may be substantially modified by socioeconomic status. While the accumulation of somatic alterations is a stochastic process, our work demonstrates that it can be shaped by host characteristics including germline genetics.
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Affiliation(s)
- Kodi Taraszka
- Department of Computer Science, University of California, Los Angeles, CA 90095, USA; Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA 02215, USA.
| | - Stefan Groha
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA 02215, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - David King
- Tempus Labs, Inc, Chicago, IL 60654, USA
| | | | | | - Elad Ziv
- Department of Medicine, University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94158, USA
| | - Noah Zaitlen
- Department of Neurology, University of California, Los Angeles, CA 90095, USA
| | - Alexander Gusev
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA 02215, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA.
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13
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Yu J, Ding PR, Jiang W. Screening and Management of Lynch Syndrome: The Chinese Experience. Clin Colon Rectal Surg 2023; 36:369-377. [PMID: 37795465 PMCID: PMC10547539 DOI: 10.1055/s-0043-1767706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
Lynch syndrome (LS), caused by germline mutations in the mismatch repair genes, is the most common hereditary colorectal cancer. While LS is also associated with various cancers, early detection of the proband is meaningful for tumor prevention, treatment, and familial management. It has been a dramatic shift on the screening approaches for LS. As the rapid development of the molecular biological methods, a comprehensive understanding of the LS screening strategies will help to improve the clinical care for this systematic disease. The current screening strategies have been well validated but mainly by evidence derived from western population, lacking consideration of the ethnic heterogeneity, which hampers the universality and clinical application in China. Hence, this review will focus on the Chinese experience in LS screening, aiming to help better understand the ethnic diversity and further optimize the screening strategies.
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Affiliation(s)
- Jiehai Yu
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou Guangdong, P. R. China
| | - Pei-Rong Ding
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou Guangdong, P. R. China
| | - Wu Jiang
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou Guangdong, P. R. China
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14
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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. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.11.23293956. [PMID: 37645796 PMCID: PMC10462184 DOI: 10.1101/2023.08.11.23293956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
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. Upon 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 Dec 2021, we have applied LFSPROShiny to over 100 families from counseling sessions at 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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15
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Ascrizzi S, Arillotta GM, Grillone K, Caridà G, Signorelli S, Ali A, Romeo C, Tassone P, Tagliaferri P. Lynch Syndrome Biopathology and Treatment: The Potential Role of microRNAs in Clinical Practice. Cancers (Basel) 2023; 15:3930. [PMID: 37568746 PMCID: PMC10417124 DOI: 10.3390/cancers15153930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
Lynch syndrome (LS), also known as Hereditary Non-Polyposis Colorectal Cancer (HNPCC), is an autosomal dominant cancer syndrome which causes about 2-3% of cases of colorectal carcinoma. The development of LS is due to the genetic and epigenetic inactivation of genes involved in the DNA mismatch repair (MMR) system, causing an epiphenomenon known as microsatellite instability (MSI). Despite the fact that the genetics of the vast majority of MSI-positive (MSI+) cancers can be explained, the etiology of this specific subset is still poorly understood. As a possible new mechanism, it has been recently demonstrated that the overexpression of certain microRNAs (miRNAs, miRs), such as miR-155, miR-21, miR-137, can induce MSI or modulate the expression of the genes involved in LS pathogenesis. MiRNAs are small RNA molecules that regulate gene expression at the post-transcriptional level by playing a critical role in the modulation of key oncogenic pathways. Increasing evidence of the link between MSI and miRNAs in LS prompted a deeper investigation into the miRNome involved in these diseases. In this regard, in this study, we discuss the emerging role of miRNAs as crucial players in the onset and progression of LS as well as their potential use as disease biomarkers and therapeutic targets in the current view of precision medicine.
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Affiliation(s)
- Serena Ascrizzi
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy; (S.A.); (G.M.A.); (K.G.); (G.C.); (S.S.); (A.A.); (C.R.); (P.T.)
| | - Grazia Maria Arillotta
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy; (S.A.); (G.M.A.); (K.G.); (G.C.); (S.S.); (A.A.); (C.R.); (P.T.)
| | - Katia Grillone
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy; (S.A.); (G.M.A.); (K.G.); (G.C.); (S.S.); (A.A.); (C.R.); (P.T.)
| | - Giulio Caridà
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy; (S.A.); (G.M.A.); (K.G.); (G.C.); (S.S.); (A.A.); (C.R.); (P.T.)
| | - Stefania Signorelli
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy; (S.A.); (G.M.A.); (K.G.); (G.C.); (S.S.); (A.A.); (C.R.); (P.T.)
| | - Asad Ali
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy; (S.A.); (G.M.A.); (K.G.); (G.C.); (S.S.); (A.A.); (C.R.); (P.T.)
| | - Caterina Romeo
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy; (S.A.); (G.M.A.); (K.G.); (G.C.); (S.S.); (A.A.); (C.R.); (P.T.)
| | - Pierfrancesco Tassone
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy; (S.A.); (G.M.A.); (K.G.); (G.C.); (S.S.); (A.A.); (C.R.); (P.T.)
- Medical Oncology and Translational Medical Oncology Units, University Hospital Renato Dulbecco, 88100 Catanzaro, Italy
| | - Pierosandro Tagliaferri
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy; (S.A.); (G.M.A.); (K.G.); (G.C.); (S.S.); (A.A.); (C.R.); (P.T.)
- Medical Oncology and Translational Medical Oncology Units, University Hospital Renato Dulbecco, 88100 Catanzaro, Italy
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16
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Kim ES, Scharpf RB, Garcia-Closas M, Visvanathan K, Velculescu VE, Chatterjee N. Potential utility of risk stratification for multicancer screening with liquid biopsy tests. NPJ Precis Oncol 2023; 7:39. [PMID: 37087533 PMCID: PMC10122653 DOI: 10.1038/s41698-023-00377-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/30/2023] [Indexed: 04/24/2023] Open
Abstract
Our proof-of-concept study reveals the potential of risk stratification by the combined effects of age, polygenic risk scores (PRS), and non-genetic risk factors in increasing the risk-benefit balance of rapidly emerging non-invasive multicancer early detection (MCED) liquid biopsy tests. We develop and validate sex-specific pan-cancer risk scores (PCRSs), defined by the combination of body mass index, smoking, family history of cancers, and cancer-specific polygenic risk scores (PRSs), to predict the absolute risk of developing at least one of the many common cancer types. We demonstrate the added value of PRSs in improving the predictive performance of the risk factors only model and project the positive and negative predictive values for two promising multicancer screening tests across risk strata defined by age and PCRS.
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Affiliation(s)
- Elle S Kim
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Robert B Scharpf
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute of Health, 9609 Medical Center Drive 7E-342, Rockville, MD, 20850, USA
| | - Kala Visvanathan
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Victor E Velculescu
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Nilanjan Chatterjee
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
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17
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Nguyen NH, Shin SJ, Dodd-Eaton EB, Ning J, Wang W. Personalized Risk Prediction for Cancer Survivors: A Bayesian Semi-parametric Recurrent Event Model with Competing Outcomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.28.530537. [PMID: 36909464 PMCID: PMC10002693 DOI: 10.1101/2023.02.28.530537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Multiple primary cancers are increasingly more frequent due to improved survival of cancer patients. Characteristics of the first primary cancer largely impact the risk of developing subsequent primary cancers. Hence, model-based risk characterization of cancer survivors that captures patient-specific variables is needed for healthcare policy making. We propose a Bayesian semi-parametric framework, where the occurrence processes of the competing cancer types follow independent non-homogeneous Poisson processes and adjust for covariates including the type and age at diagnosis of the first primary. Applying this framework to a historically collected cohort with families presenting a highly enriched history of multiple primary tumors and diverse cancer types, we have derived a suite of age-to-onset penetrance curves for cancer survivors. This includes penetrance estimates for second primary lung cancer, potentially impactful to ongoing cancer screening decisions. Using Receiver Operating Characteristic (ROC) curves, we have validated the good predictive performance of our models in predicting second primary lung cancer, sarcoma, breast cancer, and all other cancers combined, with areas under the curves (AUCs) at 0.89, 0.91, 0.76 and 0.68, respectively. In conclusion, our framework provides covariate-adjusted quantitative risk assessment for cancer survivors, hence moving a step closer to personalized health management for this unique population.
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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
| | - Seung Jun Shin
- Department of Statistics, Korea University, Seoul, Korea
| | - Elissa B Dodd-Eaton
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jing Ning
- Department of Biostatistics, 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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18
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Underkofler KA, Ring KL. Updates in gynecologic care for individuals with lynch syndrome. Front Oncol 2023; 13:1127683. [PMID: 36937421 PMCID: PMC10014618 DOI: 10.3389/fonc.2023.1127683] [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: 12/19/2022] [Accepted: 02/16/2023] [Indexed: 03/05/2023] Open
Abstract
Lynch syndrome is an autosomal dominant hereditary cancer syndrome caused by germline pathogenic variants (PVs) in DNA mismatch repair genes (MLH1, MSH2, PMS2, MSH6) or the EPCAM gene. It is estimated to affect 1 in 300 individuals and confers a lifetime risk of cancer of 10-90%, depending on the specific variant and type of cancer. Lynch syndrome is the most common cause of inherited colorectal cancer, but for women, endometrial cancer is more likely to be the sentinel cancer. There is also evidence that certain PVs causing Lynch syndrome confer an increased risk of ovarian cancer, while the risk of ovarian cancer in others is not well defined. Given this, it is essential for the practicing gynecologist and gynecologic oncologist to remain up to date on the latest techniques in identification and diagnosis of individuals with Lynch syndrome as well as evidence-based screening and risk reduction recommendations for those impacted. Furthermore, as the landscape of gynecologic cancer treatment shifts towards treatment based on molecular classification of tumors, knowledge of targeted therapies well-suited for mismatch repair deficient Lynch tumors will be crucial. The objective of this review is to highlight recent updates in the literature regarding identification and management of individuals with Lynch syndrome as it pertains to endometrial and ovarian cancers to allow gynecologic providers the opportunity to both prevent and identify Lynch-associated cancers earlier, thereby reducing the morbidity and mortality of the syndrome.
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Affiliation(s)
| | - Kari L. Ring
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Virginia, Charlottesville, VA, United States
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19
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Georgiou D, Monje-Garcia L, Miles T, Monahan K, Ryan NAJ. A Focused Clinical Review of Lynch Syndrome. Cancer Manag Res 2023; 15:67-85. [PMID: 36699114 PMCID: PMC9868283 DOI: 10.2147/cmar.s283668] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/23/2022] [Indexed: 01/19/2023] Open
Abstract
Lynch syndrome (LS) is an autosomal dominant condition that increases an individual's risk of a constellation of cancers. LS is defined when an individual has inherited pathogenic variants in the mismatch repair genes. Currently, most people with LS are undiagnosed. Early detection of LS is vital as those with LS can be enrolled in cancer reduction strategies through chemoprophylaxis, risk reducing surgery and cancer surveillance. However, these interventions are often invasive and require refinement. Furthermore, not all LS associated cancers are currently amenable to surveillance. Historically only those with a strong family history suggestive of LS were offered testing; this has proved far too restrictive. New criteria for testing have recently been introduced including the universal screening for LS in associated cancers. This has increased the number of people being diagnosed with LS but has also brought about unique challenges such as when to consent for germline testing and questions over how and who should carry out the consent. The results of germline testing for LS can be complicated and the diagnostic pathway is not always clear. Furthermore, by testing only those with cancer for LS we fail to identify these individuals before they develop potentially fatal pathology. This review will outline these challenges and explore solutions. Furthermore, we consider the potential future of LS care and the related treatments and interventions which are the current focus of research.
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Affiliation(s)
- Demetra Georgiou
- Genomics and Personalised Medicine Service, Charing Cross Hospital, London, UK
| | - Laura Monje-Garcia
- The St Mark's Centre for Familial Intestinal Cancer Polyposis, St Mark's Hospital, London, UK.,School of Public Health, Imperial College, London, UK
| | - Tracie Miles
- South West Genomics Medicine Service Alliance, Bristol, UK
| | - Kevin Monahan
- The St Mark's Centre for Familial Intestinal Cancer Polyposis, St Mark's Hospital, London, UK.,Department of Gastroenterology, Imperial College, London, UK
| | - Neil A J Ryan
- Department of Gynaecological Oncology, Royal Infirmary of Edinburgh, Edinburgh, UK.,The College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK
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20
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Nassour AJ, Jain A, Hui N, Siopis G, Symons J, Woo H. Relative Risk of Bladder and Kidney Cancer in Lynch Syndrome: Systematic Review and Meta-Analysis. Cancers (Basel) 2023; 15:506. [PMID: 36672455 PMCID: PMC9856836 DOI: 10.3390/cancers15020506] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/07/2023] [Accepted: 01/08/2023] [Indexed: 01/17/2023] Open
Abstract
Background: The association between Lynch syndrome (LS) and a higher risk of upper tract urothelial carcinoma is well established, but its effect on the risk of bladder and kidney cancers remains controversial. This review aimed to compare the relative risk (RR) of bladder and kidney cancer in confirmed LS germline mutation carriers compared to the general population. Methods: Medline, Embase, Cochrane Central, and Google Scholar were searched on 14 July 2022 for studies published in English that reported on the rates of urological cancer in adults with confirmed LS germline mutation. The quality of included studies was assessed using Cochrane’s tool to evaluate risk of bias in cohort studies. Random effects meta-analysis estimated the pooled relative risk of bladder and kidney cancer in LS carriers compared to the general population. The quality of the overall evidence was evaluated using GRADE. Results: Of the 1839 records identified, 5 studies involving 7120 participants from 3 continents were included. Overall, LS carriers had a statistically significantly higher RR of developing bladder cancer (RR: 7.48, 95% CI: 3.70, 15.13) and kidney cancer (RR: 3.97, 95% CI: 1.23, 12.81) compared to unaffected participants (p < 0.01). The quality of the evidence was assessed as “low” due to the inclusion of cohort studies, the substantial heterogeneity, and moderate-to-high risk of bias. Conclusion: Lynch syndrome is associated with a significant increase in the relative risk of kidney and bladder cancer. Clinicians should adopt a lower threshold for germline mutation genetic testing in individuals who present with bladder cancer. Further studies evaluating the role and cost-effectiveness of novel urine-based laboratory tests are needed. High-quality studies in histologically proven renal cell carcinoma and their underlying germline mutations are necessary to strengthen the association with LS.
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Affiliation(s)
- Anthony-Joe Nassour
- SAN Prostate Centre of Excellence, Sydney Adventist Hospital, Wahroonga, NSW 2076, Australia
- Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
| | - Anika Jain
- SAN Prostate Centre of Excellence, Sydney Adventist Hospital, Wahroonga, NSW 2076, Australia
| | - Nicholas Hui
- SAN Prostate Centre of Excellence, Sydney Adventist Hospital, Wahroonga, NSW 2076, Australia
- Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
| | - George Siopis
- Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC 3125, Australia
| | - James Symons
- SAN Prostate Centre of Excellence, Sydney Adventist Hospital, Wahroonga, NSW 2076, Australia
- Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
- College of Health and Medicine, The Australian National University, Canberra, ACT 2601, Australia
| | - Henry Woo
- SAN Prostate Centre of Excellence, Sydney Adventist Hospital, Wahroonga, NSW 2076, Australia
- College of Health and Medicine, The Australian National University, Canberra, ACT 2601, Australia
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21
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Fabozzi F, Mastronuzzi A. Genetic Predisposition to Hematologic Malignancies in Childhood and Adolescence. Mediterr J Hematol Infect Dis 2023; 15:e2023032. [PMID: 37180200 PMCID: PMC10171214 DOI: 10.4084/mjhid.2023.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 04/19/2023] [Indexed: 05/16/2023] Open
Abstract
Advances in molecular biology and genetic testing have greatly improved our understanding of the genetic basis of hematologic malignancies and have enabled the identification of new cancer predisposition syndromes. Recognizing a germline mutation in a patient affected by a hematologic malignancy allows for a tailored treatment approach to minimize toxicities. It informs the donor selection, the timing, and the conditioning strategy for hematopoietic stem cell transplantation, as well as the comorbidities evaluation and surveillance strategies. This review provides an overview of germline mutations that predispose to hematologic malignancies, focusing on those most common during childhood and adolescence, based on the new International Consensus Classification of Myeloid and Lymphoid Neoplasms.
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Affiliation(s)
- Francesco Fabozzi
- Department of Pediatric Hematology/Oncology and Cellular and Gene Therapy, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
| | - Angela Mastronuzzi
- Department of Pediatric Hematology/Oncology and Cellular and Gene Therapy, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
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22
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Yurgelun MB, Uno H, Furniss CS, Ukaegbu C, Horiguchi M, Yussuf A, LaDuca H, Chittenden A, Garber JE, Syngal S. Development and Validation of the PREMMplus Model for Multigene Hereditary Cancer Risk Assessment. J Clin Oncol 2022; 40:4083-4094. [PMID: 35960913 PMCID: PMC9746785 DOI: 10.1200/jco.22.00120] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
PURPOSE With the availability of multigene panel testing (MGPT) for hereditary cancer risk assessment, clinicians need to assess the likelihood of pathogenic germline variants (PGVs) across numerous genes in parallel. This study's aim was to develop and validate a clinical prediction model (PREMMplus) for MGPT risk assessment. MATERIALS AND METHODS PREMMplus was developed in a single-institution cohort of 7,280 individuals who had undergone MGPT. Logistic regression models with Least Absolute Shrinkage and Selection Operator regularization were used to examine candidate predictors (age, sex, ethnicity, and personal/family history of 18 cancers/neoplasms) to estimate one's likelihood of carrying PGVs in 19 genes (broadly categorized by phenotypic overlap and/or relative penetrance: 11 category A [APC, BRCA1/2, CDH1, EPCAM, MLH1, MSH2, MSH6, biallelic MUTYH, PMS2, and TP53] and eight category B genes [ATM, BRIP1, CDKN2A, CHEK2, PALB2, PTEN, RAD51C, and RAD51D]). Model performance was validated in nonoverlapping data sets of 8,691 and 14,849 individuals with prior MGPT ascertained from clinic- and laboratory-based settings, respectively. RESULTS PREMMplus (score ≥ 2.5%) had 93.9%, 91.7%, and 89.3% sensitivity and 98.3%, 97.5%, and 97.8% negative-predictive value (NPV) for identifying category A gene PGV carriers in the development and validation cohorts, respectively. PREMMplus assessment (score ≥ 2.5%) had 89.9%, 85.6%, and 84.2% sensitivity and 95.0%, 93.5%, and 93.5% NPV, respectively, for identifying category A/B gene PGV carriers. Decision curve analyses support MGPT for individuals predicted to have ≥ 2.5% probability of a PGV. CONCLUSION PREMMplus accurately identifies individuals with PGVs in a diverse spectrum of cancer susceptibility genes with high sensitivity/NPV. Individuals with PREMMplus scores ≥ 2.5% should be considered for MGPT.
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Affiliation(s)
- Matthew B. Yurgelun
- Dana-Farber Cancer Institute, Boston, MA,Harvard Medical School, Boston, MA,Brigham & Women's Hospital, Boston, MA
| | - Hajime Uno
- Dana-Farber Cancer Institute, Boston, MA,Harvard Medical School, Boston, MA
| | | | | | - Miki Horiguchi
- Dana-Farber Cancer Institute, Boston, MA,Harvard Medical School, Boston, MA
| | | | | | | | - Judy E. Garber
- Dana-Farber Cancer Institute, Boston, MA,Harvard Medical School, Boston, MA,Brigham & Women's Hospital, Boston, MA
| | - Sapna Syngal
- Dana-Farber Cancer Institute, Boston, MA,Harvard Medical School, Boston, MA,Brigham & Women's Hospital, Boston, MA,Sapna Syngal, MD, MPH, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215; Twitter: @SapnaSyngal; e-mail:
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23
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Dehghani Soufi M, Rezaei Hachesu P, Ferdousi R. Oncology Informatics for Lynch Syndrome Research and Care: A Literature Review. JCO Clin Cancer Inform 2022; 6:e2200087. [DOI: 10.1200/cci.22.00087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
PURPOSE This study aims to review and evaluate available informatics platforms for research and management purposes of Lynch syndrome (LS) to identify gaps and needs for future development. METHODS LS informatics tools were identified through literature search in four publication databases (1 and Scopus). First, the LS and functional elements of every informatics tools for LS were introduced. Then, current existing LS informatics tools were reviewed and explained. RESULTS A detailed review of implemented studies shows that many types of informatics platforms are available for LS management (ie, prediction model, clinical decision support system, database website, and other tools for research and management purposes of LS). Moreover, several dimensions of existing LS informatics tools were discussed and features and positive findings were reported. CONCLUSION Reviewing the literature reveals that several LS informatics tools were focused on gene-specific estimate, cancer risk prediction, identifying/screening patients, supporting personalized care of individuals with LS, and storing mismatch repair mutations information. Nevertheless, these platforms do not fully cover the care and research purposes. For instance, future developments of LS tools require more attention to dynamic knowledgebase, extra-colonic lynch–related cancers on the basis of precision medicine, variants of unknown significance, and support from diagnosis to surveillance for patient follow-up. Insights and recommendations provided in this study could help researchers and developers to meet the existing challenges in future developments.
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Affiliation(s)
- Mahsa Dehghani Soufi
- Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Peyman Rezaei Hachesu
- Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Reza Ferdousi
- Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
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24
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Shyr C, Blackford AL, Huang T, Ke J, Ouardaoui N, Trippa L, Syngal S, Ukaegbu C, Uno H, Nafa K, Stadler ZK, Offit K, Amos CI, Lynch PM, Chen S, Giardiello FM, Buchanan DD, Hopper JL, Jenkins MA, Southey MC, Win AK, Figueiredo JC, Braun D, Parmigiani G. A validation of models for prediction of pathogenic variants in mismatch repair genes. Genet Med 2022; 24:2155-2166. [PMID: 35997715 PMCID: PMC10312204 DOI: 10.1016/j.gim.2022.07.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/30/2022] [Accepted: 07/01/2022] [Indexed: 10/15/2022] Open
Abstract
PURPOSE Models used to predict the probability of an individual having a pathogenic homozygous or heterozygous variant in a mismatch repair gene, such as MMRpro, are widely used. Recently, MMRpro was updated with new colorectal cancer penetrance estimates. The purpose of this study was to evaluate the predictive performance of MMRpro and other models for individuals with a family history of colorectal cancer. METHODS We performed a validation study of 4 models, Leiden, MMRpredict, PREMM5, and MMRpro, using 784 members of clinic-based families from the United States. Predicted probabilities were compared with germline testing results and evaluated for discrimination, calibration, and predictive accuracy. We analyzed several strategies to combine models and improve predictive performance. RESULTS MMRpro with additional tumor information (MMRpro+) and PREMM5 outperformed the other models in discrimination and predictive accuracy. MMRpro+ was the best calibrated with an observed to expected ratio of 0.98 (95% CI = 0.89-1.08). The combination models showed improvement over PREMM5 and performed similar to MMRpro+. CONCLUSION MMRpro+ and PREMM5 performed well in predicting the probability of having a pathogenic homozygous or heterozygous variant in a mismatch repair gene. They serve as useful clinical decision tools for identifying individuals who would benefit greatly from screening and prevention strategies.
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Affiliation(s)
- Cathy Shyr
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Amanda L Blackford
- Division of Biostatistics and Bioinformatics, Johns Hopkins School of Medicine, Baltimore, MD
| | - Theodore Huang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Jianfeng Ke
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA; Department of Mathematical Sciences, Tsinghua University, Beijing, China
| | - Nofal Ouardaoui
- Department of Computer Science, School of Engineering, Tufts University, Medford, MA
| | - Lorenzo Trippa
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Sapna Syngal
- Cancer Genetics and Prevention Division, Dana-Farber Cancer Institute, Boston, MA; Division of Gastroenterology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA
| | - Chinedu Ukaegbu
- Cancer Genetics and Prevention Division, Dana-Farber Cancer Institute, Boston, MA
| | - Hajime Uno
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA; McGraw/Patterson Center for Population Sciences, Dana-Farber Cancer Institute, Boston, MA
| | - Khedoudja Nafa
- Department of Pathology and Laboratory Medicine, Molecular Diagnostic Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Zsofia K Stadler
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Comprehensive Cancer Center, New York, NY; Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Comprehensive Cancer Center, New York, NY; Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX
| | - Patrick M Lynch
- Gastroenterology, Hepatology and Nutrition, University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Francis M Giardiello
- Department of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia; Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA.
| | - Giovanni Parmigiani
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
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25
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Liang JW, Idos GE, Hong C, Gruber SB, Parmigiani G, Braun D. Statistical methods for Mendelian models with multiple genes and cancers. Genet Epidemiol 2022; 46:395-414. [PMID: 35583099 PMCID: PMC9452449 DOI: 10.1002/gepi.22460] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 04/06/2022] [Accepted: 05/05/2022] [Indexed: 01/29/2023]
Abstract
Risk evaluation to identify individuals who are at greater risk of cancer as a result of heritable pathogenic variants is a valuable component of individualized clinical management. Using principles of Mendelian genetics, Bayesian probability theory, and variant-specific knowledge, Mendelian models derive the probability of carrying a pathogenic variant and developing cancer in the future, based on family history. Existing Mendelian models are widely employed, but are generally limited to specific genes and syndromes. However, the upsurge of multigene panel germline testing has spurred the discovery of many new gene-cancer associations that are not presently accounted for in these models. We have developed PanelPRO, a flexible, efficient Mendelian risk prediction framework that can incorporate an arbitrary number of genes and cancers, overcoming the computational challenges that arise because of the increased model complexity. We implement an 11-gene, 11-cancer model, the largest Mendelian model created thus far, based on this framework. Using simulations and a clinical cohort with germline panel testing data, we evaluate model performance, validate the reverse-compatibility of our approach with existing Mendelian models, and illustrate its usage. Our implementation is freely available for research use in the PanelPRO R package.
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Affiliation(s)
- Jane W. Liang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gregory E. Idos
- Center for Precision Medicine, City of Hope, Duarte, CA, USA
| | - Christine Hong
- Center for Precision Medicine, City of Hope, Duarte, CA, USA
| | | | - Giovanni Parmigiani
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
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26
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Abstract
The traditional approach of one-size-fits-all for colorectal cancer has been replaced by personalized interventions to an individual's unique genetic, molecular, and environmental profile, seeking to identify high-risk individuals who would benefit from individualized screening and surveillance. This change in approach is due, in part, to emerging technologies, such as next-generation DNA sequencing.
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27
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Lynch Syndrome: From Carcinogenesis to Prevention Interventions. Cancers (Basel) 2022; 14:cancers14174102. [PMID: 36077639 PMCID: PMC9454739 DOI: 10.3390/cancers14174102] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/23/2022] [Accepted: 08/23/2022] [Indexed: 11/25/2022] Open
Abstract
Simple Summary Promoting proper preventive interventions to reduce morbidity and mortality is one of the most important challenges pertaining to inherited conditions. Lynch syndrome (LS) is an inherited disorder that predisposes to several kinds of tumor and is responsible for a relevant proportion of human colorectal and endometrial cancers. Recent knowledge has allowed for a better understanding of the genetic cause, pathogenesis, underlying immunological mechanisms, epidemiological distribution, and prevalence of this disease. This opens up unpredictable perspectives of translating such knowledge into validated programs for prevention and surveillance, in order to reduce the health impact of this disease through medical interventions before cancer development. In our review, we summarize the updated guidelines of the screening, surveillance, and risk-reducing strategies for LS patients. Moreover, we present novel opportunities in the treatment and prevention of LS patients through harnessing the immune system using immunocheckpoint inhibitors and vaccines. Abstract Lynch syndrome (LS) is the most common inherited disorder responsible for an increased risk of developing cancers at different sites, most frequently in the gastrointestinal and genitourinary tracts, caused by a germline pathogenic variant affecting the DNA mismatch repair system. Surveillance and risk-reducing procedures are currently available and warranted for LS patients, depending on underlying germline mutation, and are focused on relevant targets for early cancer diagnosis or primary prevention. Although pharmacological approaches for preventing LS-associated cancer development were started many years ago, to date, aspirin remains the most studied drug intervention and the only one suggested by the main surveillance guidelines, despite the conflicting findings. Furthermore, we also note that remarkable advances in anticancer drug discovery have given a significant boost to the application of novel immunological strategies such as immunocheckpoint inhibitors and vaccines, not only for cancer treatment, but also in a preventive setting. In this review, we outline the clinical, biologic, genetic, and morphological features of LS as well as the recent three-pathways carcinogenesis model. Furthermore, we provide an update on the dedicated screening, surveillance, and risk-reducing strategies for LS patients and describe emerging opportunities of harnessing the immune system.
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28
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Kabbage M, Ben Aissa-Haj J, Othman H, Jaballah-Gabteni A, Laarayedh S, Elouej S, Medhioub M, Kettiti HT, Khsiba A, Mahmoudi M, BelFekih H, Maaloul A, Touinsi H, Hamzaoui L, Chelbi E, Abdelhak S, Boubaker MS, Azzouz MM. A Rare MSH2 Variant as a Candidate Marker for Lynch Syndrome II Screening in Tunisia: A Case of Diffuse Gastric Carcinoma. Genes (Basel) 2022; 13:genes13081355. [PMID: 36011265 PMCID: PMC9407052 DOI: 10.3390/genes13081355] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/17/2022] [Accepted: 07/21/2022] [Indexed: 12/24/2022] Open
Abstract
Several syndromic forms of digestive cancers are known to predispose to early-onset gastric tumors such as Hereditary Diffuse Gastric Cancer (HDGC) and Lynch Syndrome (LS). LSII is an extracolonic cancer syndrome characterized by a tumor spectrum including gastric cancer (GC). In the current work, our main aim was to identify the mutational spectrum underlying the genetic predisposition to diffuse gastric tumors occurring in a Tunisian family suspected of both HDGC and LS II syndromes. We selected the index case “JI-021”, which was a woman diagnosed with a Diffuse Gastric Carcinoma and fulfilling the international guidelines for both HDGC and LSII syndromes. For DNA repair, a custom panel targeting 87 candidate genes recovering the four DNA repair pathways was used. Structural bioinformatics analysis was conducted to predict the effect of the revealed variants on the functional properties of the proteins. DNA repair genes panel screening identified two variants: a rare MSH2 c.728G>A classified as a variant with uncertain significance (VUS) and a novel FANCD2 variant c.1879G>T. The structural prediction model of the MSH2 variant and electrostatic potential calculation showed for the first time that MSH2 c.728G>A is likely pathogenic and is involved in the MSH2-MLH1 complex stability. It appears to affect the MSH2-MLH1 complex as well as DNA-complex stability. The c.1879G>T FANCD2 variant was predicted to destabilize the protein structure. Our results showed that the MSH2 p.R243Q variant is likely pathogenic and is involved in the MSH2-MLH1 complex stability, and molecular modeling analysis highlights a putative impact on the binding with MLH1 by disrupting the electrostatic potential, suggesting the revision of its status from VUS to likely pathogenic. This variant seems to be a shared variant in the Mediterranean region. These findings emphasize the importance of testing DNA repair genes for patients diagnosed with diffuse GC with suspicion of LSII and colorectal cancer allowing better clinical surveillance for more personalized medicine.
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Affiliation(s)
- Maria Kabbage
- Department of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis 1002, Tunisia; (J.B.A.-H.); (A.J.-G.); (S.L.); (H.T.K.); (A.M.); (M.S.B.)
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
- Correspondence:
| | - Jihenne Ben Aissa-Haj
- Department of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis 1002, Tunisia; (J.B.A.-H.); (A.J.-G.); (S.L.); (H.T.K.); (A.M.); (M.S.B.)
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
| | - Houcemeddine Othman
- Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg 2000, South Africa;
| | - Amira Jaballah-Gabteni
- Department of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis 1002, Tunisia; (J.B.A.-H.); (A.J.-G.); (S.L.); (H.T.K.); (A.M.); (M.S.B.)
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
| | - Sarra Laarayedh
- Department of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis 1002, Tunisia; (J.B.A.-H.); (A.J.-G.); (S.L.); (H.T.K.); (A.M.); (M.S.B.)
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
| | - Sahar Elouej
- Marseille Medical Genetics, Aix Marseille University, INSERM, 13007 Marseille, France;
| | - Mouna Medhioub
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul 8000, Tunisia
| | - Haifa Tounsi Kettiti
- Department of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis 1002, Tunisia; (J.B.A.-H.); (A.J.-G.); (S.L.); (H.T.K.); (A.M.); (M.S.B.)
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
| | - Amal Khsiba
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul 8000, Tunisia
| | - Moufida Mahmoudi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul 8000, Tunisia
| | - Houda BelFekih
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
- Department of Oncology, Mohamed Tahar Maamouri Hospital, Nabeul 8000, Tunisia
| | - Afifa Maaloul
- Department of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis 1002, Tunisia; (J.B.A.-H.); (A.J.-G.); (S.L.); (H.T.K.); (A.M.); (M.S.B.)
| | - Hassen Touinsi
- Department of Surgery, Mohamed Tahar Maamouri Hospital, Nabeul 8000, Tunisia;
| | - Lamine Hamzaoui
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul 8000, Tunisia
| | - Emna Chelbi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
- Department of Pathology, Mohamed Tahar Maamouri Hospital, Nabeul 8000, Tunisia
| | - Sonia Abdelhak
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
| | - Mohamed Samir Boubaker
- Department of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis 1002, Tunisia; (J.B.A.-H.); (A.J.-G.); (S.L.); (H.T.K.); (A.M.); (M.S.B.)
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
| | - Mohamed Mousaddak Azzouz
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis EL Manar University, Tunis 1002, Tunisia; (M.M.); (A.K.); (M.M.); (H.B.); (L.H.); (E.C.); (S.A.); (M.M.A.)
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul 8000, Tunisia
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Crain PR, Zepp JM, Gille S, Jenkins L, Kauffman TL, Shuster E, Goddard KAB, Wilfond BS, Hunter JE. Identifying patients with Lynch syndrome using a universal tumor screening program in an integrated healthcare system. Hered Cancer Clin Pract 2022; 20:17. [PMID: 35436948 PMCID: PMC9014602 DOI: 10.1186/s13053-022-00217-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 03/01/2022] [Indexed: 11/15/2022] Open
Abstract
INTRODUCTION Lynch syndrome (LS) is associated with an increased risk of colorectal (CRC) and endometrial (EC) cancers. Universal tumor screening (UTS) of all individuals diagnosed with CRC and EC is recommended to increase identification of LS. Kaiser Permanente Northwest (KPNW) implemented a UTS program for LS among individuals newly diagnosed with CRC in January 2016 and EC in November 2016. UTS at KPNW begins with immunohistochemistry (IHC) of tumor tissue to determine loss of mismatch repair proteins associated with LS (MLH1, MSH2, MSH6, and PMS2)., IHC showing loss of MLH1 is followed by reflex testing (automatic testing) to detect the presence of the BRAF V600E variant (in cases of CRC) and MLH1 promoter hypermethylation to rule out likely sporadic cases. MATERIALS AND METHODS Individuals newly diagnosed with CRC and EC were identified between the initiation of the respective UTS programs and July 2018. Electronic medical records were reviewed to extract patient data related to UTS, including IHC and reflex testing results, date of referrals to the genetics department, and results of germline genetic testing for LS. RESULTS 313 out of 362 individuals diagnosed with CRC and 61 out of 64 individuals diagnosed with EC who were eligible were screened by IHC for LS. Most (47/52 or 90%, including 46/49 CRC and 1/3 EC) individuals that were not screened by IHC only had a biopsy sample available. Fourteen individuals (3.7% overall, including 13/313 CRC and 1/61 EC) received an abnormal result after reflex testing and were referred for genetic counseling. Of these, 10 individuals (71% overall, including 9/13 CRC and 1/1 EC) underwent germline genetic testing for LS. Five individuals diagnosed with CRC were found to have pathogenic variants. in PMS2 (n = 3), MLH1 (n = 1), and MSH6 (n = 1). No pathogenic variants were identified in individuals diagnosed with EC. CONCLUSIONS UTS identified individuals at risk for LS. Most individuals who screened positive for LS had follow-up germline genetic testing for LS. The consistent use of biopsy samples is an opportunity to improve UTS.
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Affiliation(s)
- Philip R Crain
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Jamilyn M Zepp
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Sara Gille
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Lindsay Jenkins
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Tia L Kauffman
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Elizabeth Shuster
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Katrina A B Goddard
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics, Department of Pediatrics, Seattle Children's Research Institute and Hospital, University of Washington School of Medicine, Seattle, WA, USA
| | - Jessica Ezzell Hunter
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
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Mangas-Sanjuan C, Jover R. Familial colorectal cancer. Best Pract Res Clin Gastroenterol 2022; 58-59:101798. [PMID: 35988967 DOI: 10.1016/j.bpg.2022.101798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 02/01/2022] [Accepted: 03/08/2022] [Indexed: 01/31/2023]
Abstract
The introduction of average-risk colorectal cancer (CRC) screening programs means that many subjects with family history of CRC and without well-described inherited syndromes can benefit from these public health policies. Therefore, the definition of which individuals should be named under the umbrella of the term "familial CRC" should be reconsidered to include only those who are outside of the protection of population-based screening and need to be moved towards a more intensive surveillance strategy. Two subgroups have been reported as having a high enough CRC risk to be included within the term "familial risk of CRC": individuals who have ≥1 first degree relative (FDR) with CRC diagnosed at age <50 years, and those who have ≥2 FDRs with CRC. Colonoscopy-based screening starting at age 40 years is proposed as the most accepted recommendation for these individuals. Finally, the evolution of Lynch syndrome screening from clinical criteria to tumor tissue analysis and new tools for screening pathogenic gene mutations associated with cancer susceptibility in individuals with early-onset CRC might help to reduce misclassification of familial CRC.
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Affiliation(s)
- Carolina Mangas-Sanjuan
- Servicio de Medicina Digestiva, Hospital General Universitario de Alicante, Instituto de Investigación Biomédica ISABIAL, Universidad Miguel Hernández, Alicante, Spain
| | - Rodrigo Jover
- Servicio de Medicina Digestiva, Hospital General Universitario de Alicante, Instituto de Investigación Biomédica ISABIAL, Universidad Miguel Hernández, Alicante, Spain.
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Rolf BA, Schneider JL, Amendola LM, Davis JV, Mittendorf KF, Schmidt MA, Jarvik GP, Wilfond BS, Goddard KAB, Hunter JE. Barriers to family history knowledge and family communication among LGBTQ+ individuals in the context of hereditary cancer risk assessment. J Genet Couns 2022; 31:230-241. [PMID: 34302314 PMCID: PMC8783924 DOI: 10.1002/jgc4.1476] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 06/15/2021] [Accepted: 06/26/2021] [Indexed: 02/03/2023]
Abstract
Openness about identity as lesbian, gay, bisexual, transgender, queer, and other sexual orientations and gender identities (LGBTQ+) may cause strain on relationships between family members, which could lead to limited knowledge of cancer family history and reduced communication with family members. As a result, members of the LGBTQ+ community may have more difficulty accessing genetic counseling services for inherited cancer risk. We applied a mixed-methods approach to explore potential barriers to knowledge of cancer family history and family communication among participants of the Cancer Health Assessments Reaching Many (CHARM) study who self-identified as LGBTQ+. We assessed perceptions of family functioning and communication of genetic test results to family members using survey tools and supplemented these data with 20 in-depth interviews to further assess participant perspectives and experiences. LGBTQ+ participants were more likely to report unhealthy family functioning on the survey tool, and some interviewees endorsed that openness about their LGBTQ+ identity led to strained family relationships and reduced communication about their family history of cancer. Overall, this study identified barriers that may be faced by members of the LGBTQ+ community which could limit their ability to access genetic counseling services for inherited cancer risk.
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Affiliation(s)
- Bradley A. Rolf
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | | | - Laura M. Amendola
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - James V. Davis
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR
| | - Kathleen F. Mittendorf
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR
| | - Mark A. Schmidt
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR
| | - Gail P. Jarvik
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Benjamin S. Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Hospital and Research Institute, Seattle, WA,Department of Pediatrics, University of Washington School of Medicine, Seattle, WA
| | - Katrina A. B. Goddard
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR
| | - Jessica Ezzell Hunter
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR
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Basen-Engquist K, Raber M, Strong LL, Schembre S, Li L, Arun B, Lu K, You N, Vilar E, Lynch P, Fares S, Peterson SK. Optimization of an mHealth lifestyle intervention for families with hereditary cancer syndromes: Study protocol for a multiphase optimization strategy feasibility study. Contemp Clin Trials 2022; 113:106662. [PMID: 34971795 DOI: 10.1016/j.cct.2021.106662] [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: 07/23/2021] [Revised: 12/19/2021] [Accepted: 12/20/2021] [Indexed: 11/03/2022]
Abstract
BACKGROUND Individuals at increased hereditary risk of cancer are an important target for health promotion and cancer prevention interventions. Health-4-Families uses the Multiphase Optimization STrategy (MOST) framework and is designed to pilot digital delivery strategies for a distance-based, 16-week intervention to promote weight management, healthy diet, and increased physical activity among individuals with BRCA1/BRCA2 or DNA mismatch repair (MMR) pathogenic germline variants. This communication describes participant recruitment and the design of the Health-4-Families pilot study. METHODS Health-4-Families is a full-factorial (16 condition) randomized pilot study of four lifestyle intervention components: social networking, telephone or email coaching, text messaging, and self-monitoring. The primary outcome was feasibility and satisfaction with these study components. Participants with pathogenic germline variants were identified via clinic surveillance lists and advocacy organizations and were invited to participate with family members. All participants had to report meeting at least one of the following criteria: (1) having a BMI ≥ 25 kg/m2, (2) consuming <5 servings of fruit and vegetables per day, or (3) getting <150 min of moderate-to-vigorous intensity activity per week. RESULTS The majority of screened potential participants with pathogenic variants (83%) were eligible; 86% of those eligible provided informed consent and 79% (n = 104) completed baseline. A total of 206 family members were nominated by study participants and 49% (n = 102) completed baseline. DISCUSSION Recruitment data suggest that individuals with pathogenic germline variants, who are at increased risk for hereditary cancers, are motivated to participate in digital lifestyle interventions. This recruitment success highlights the importance of identifying and prioritizing effective and efficient intervention components for hereditary cancer families. We intend to use the outcomes of our pilot study to inform a fully-powered factorial study for this community.
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Affiliation(s)
- Karen Basen-Engquist
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.
| | - Margaret Raber
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America; Department of Pediatrics-Nutrition, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, United States of America
| | - Larkin L Strong
- Department of Health Disparities Research, The University of Texas MD Anderson Cancer Center, TX, United States of America
| | - Susan Schembre
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America; Department of Family and Community Medicine, University of Arizona College of Medicine-Tucson, Tucson, AZ, United States of America
| | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America
| | - Banu Arun
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America
| | - Karen Lu
- Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America
| | - Nancy You
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America
| | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America
| | - Patrick Lynch
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America
| | - Sara Fares
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America
| | - Susan K Peterson
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America
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Holter S, Hall MJ, Hampel H, Jasperson K, Kupfer SS, Larsen Haidle J, Mork ME, Palaniapppan S, Senter L, Stoffel EM, Weissman SM, Yurgelun MB. Risk assessment and genetic counseling for Lynch syndrome - Practice resource of the National Society of Genetic Counselors and the Collaborative Group of the Americas on Inherited Gastrointestinal Cancer. J Genet Couns 2022; 31:568-583. [PMID: 35001450 DOI: 10.1002/jgc4.1546] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 12/17/2021] [Accepted: 12/18/2021] [Indexed: 12/13/2022]
Abstract
Identifying individuals who have Lynch syndrome involves a complex diagnostic workup that includes taking a detailed family history and a combination of various tests such as immunohistochemistry and/or molecular which may be germline and/or somatic. The National Society of Genetic Counselors and the Collaborative Group of the Americas on Inherited Gastrointestinal Cancer have come together to publish this practice resource for the evaluation of Lynch syndrome. The purpose of this practice resource was to provide guidance and a testing algorithm for Lynch syndrome as well as recommendations on when to offer testing. This practice resource does not replace a consultation with a genetics professional. This practice resource includes explanations in support of this and a summary of background data. While this practice resource is not intended to serve as a review of Lynch syndrome, it includes a discussion of background information and cites a number of key publications which should be reviewed for a more in-depth understanding. This practice resource is intended for genetic counselors, geneticists, gastroenterologists, surgeons, medical oncologists, obstetricians and gynecologists, nurses, and other healthcare providers who evaluate patients for Lynch syndrome.
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Affiliation(s)
- Spring Holter
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Michael J Hall
- Department of Clinical Genetics, Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | | | - Sonia S Kupfer
- Section of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago, Chicago, Illinois, USA
| | | | - Maureen E Mork
- Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Leigha Senter
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Elena M Stoffel
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Scott M Weissman
- Chicago Genetic Consultants, LLC, Northbrook, Illinois, USA
- Genome Medical, South San Francisco, California, USA
| | - Matthew B Yurgelun
- Dana-Farber Cancer Institute, Harvard Medical School, and Brigham and Women's Hospital, Boston, Massachusetts, USA
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Abstract
Lynch syndrome (LS) is an autosomal dominant hereditary cancer syndrome caused by pathogenic germline variants (PGV) in any of the 4 DNA mismatch repair (MMR) genes, MLH1, MSH2, MSH6, and PMS2, or deletions in EPCAM. LS leads to an increased risk of intestinal and extraintestinal cancers, of which colorectal and endometrial cancers are the most common. Individuals at risk for LS can be identified by using clinical criteria, prediction models, and universal tumor testing. Understanding each of these tools, including limitations and mimics of LS, is essential to the early identification of at-risk individuals.
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Affiliation(s)
- Jennifer K Maratt
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, 1101 West Tenth Street, Indianapolis, IN 46202, USA; Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, IN, USA; Regenstrief Institute, Inc, Indianapolis, IN, USA.
| | - Elena Stoffel
- Division of Gastroenterology, Department of Internal Medicine, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA; Rogel Cancer Center, Ann Arbor, MI, USA
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A risk prediction tool for individuals with a family history of breast, ovarian, or pancreatic cancer: BRCAPANCPRO. Br J Cancer 2021; 125:1712-1717. [PMID: 34703010 DOI: 10.1038/s41416-021-01580-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 09/07/2021] [Accepted: 10/04/2021] [Indexed: 12/20/2022] Open
Abstract
INTRODUCTION Identifying families with an underlying inherited cancer predisposition is a major goal of cancer prevention efforts. Mendelian risk models have been developed to better predict the risk associated with a pathogenic variant of developing breast/ovarian cancer (with BRCAPRO) and the risk of developing pancreatic cancer (PANCPRO). Given that pathogenic variants involving BRCA2 and BRCA1 predispose to all three of these cancers, we developed a joint risk model to capture shared susceptibility. METHODS We expanded the existing framework for PANCPRO and BRCAPRO to jointly model risk of pancreatic, breast, and ovarian cancer and validated this new model, BRCAPANCPRO on three data sets each reflecting the common target populations. RESULTS BRCAPANCPRO outperformed the prior BRCAPRO and PANCPRO models and yielded good discrimination for differentiating BRCA1 and BRCA2 carriers from non-carriers (AUCs 0.79, 95% CI: 0.73-0.84 and 0.70, 95% CI: 0.60-0.80) in families seen in high-risk clinics and pancreatic cancer family registries, respectively. In addition, BRCAPANCPRO was reasonably well calibrated for predicting future risk of pancreatic cancer (observed-to-expected (O/E) ratio = 0.81 [0.69, 0.94]). DISCUSSION The BRCAPANCPRO model provides improved risk assessment over our previous risk models, particularly for pedigrees with a co-occurrence of pancreatic cancer and breast and/or ovarian cancer.
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36
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Abstract
A new software package provides more accurate cancer risk prediction profiles and has the ability to integrate more genes and cancer types in the future.
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Yamashita K, Fukushima H, Teramoto M, Okita K, Ishikawa A, Sakurai A, Akagi K, Nakase H. Interval between the First Cancer and the Genetic Diagnosis in Lynch Syndrome Probands. Intern Med 2021; 60:2719-2724. [PMID: 33746161 PMCID: PMC8479221 DOI: 10.2169/internalmedicine.6603-20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Objective Little is known about the time from developing a first cancer to confirming the presence of a mismatch repair (MMR) gene mutation for Lynch syndrome (LS) probands. Methods This was a retrospective single center study. LS probands, who have an MMR gene mutation that was confirmed first in a pedigree and thereafter developed at least one cancer, were included in this study. Results There were 21 LS probands who had developed at least one cancer; 6 with MLH1 mutations, 9 with MSH2 mutations, 4 with MSH6 mutations, and 2 with EPCAM deletions. The median ages at the first cancer and the genetic diagnosis were 47 (34-71) and 62 (38-84) years old, respectively. The mean interval between the first cancer and the genetic diagnosis was 11.0 (0-25) years, and 20 years or longer interval was required for the 5 probands. Six (28.6%) probands were older than 70 years, and 3 (14.3%) were in their 80s when they were diagnosed to have LS. The genetic diagnosis was confirmed at the first, second, third, and fourth cancer or later in 5, 5, 6, and 5 probands, respectively. Of the 16 cancers examined, 2 (12.5%) were microsatellite stable (MSS), both of whom had germline MSH6 mutations. All 17 LS probands who developed colorectal cancer met the revised Bethesda guidelines at the genetic diagnosis, but only 7 of 11 (63.6%) met them at the first cancer. Twelve out of 21 (57.1%) met the revised Amsterdam criteria. Conclusion It took 11 years for the LS probands from the first cancer to the diagnostic confirmation by genetic tests. A quarter of the probands were in their 70s or 80s at genetic diagnosis.
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Affiliation(s)
- Kentaro Yamashita
- Department of Gastroenterology and Hepatology, Sapporo Medical University, Japan
| | - Hisayo Fukushima
- Department of Medical Genetics, Sapporo Medical University, Japan
| | - Mizue Teramoto
- Department of Obstetrics and Gynecology, Sapporo Medical University, Japan
| | - Kenji Okita
- Department of Surgery, Surgical Oncology and Science, Sapporo Medical University, Japan
| | - Aki Ishikawa
- Department of Medical Genetics, Sapporo Medical University, Japan
| | - Akihiro Sakurai
- Department of Medical Genetics, Sapporo Medical University, Japan
| | - Kiwamu Akagi
- Division of Molecular Diagnosis and Cancer Prevention, Saitama Cancer Center, Japan
| | - Hiroshi Nakase
- Department of Gastroenterology and Hepatology, Sapporo Medical University, Japan
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Lee G, Liang JW, Zhang Q, Huang T, Choirat C, Parmigani G, Braun D. Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPRO. eLife 2021; 10:68699. [PMID: 34406119 PMCID: PMC8478415 DOI: 10.7554/elife.68699] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 08/16/2021] [Indexed: 01/01/2023] Open
Abstract
Identifying individuals who are at high risk of cancer due to inherited germline mutations is critical for effective implementation of personalized prevention strategies. Most existing models focus on a few specific syndromes; however, recent evidence from multi-gene panel testing shows that many syndromes are overlapping, motivating the development of models that incorporate family history on several cancers and predict mutations for a comprehensive panel of genes. We present PanelPRO, a new, open-source R package providing a fast, flexible back-end for multi-gene, multi-cancer risk modeling with pedigree data. It includes a customizable database with default parameter values estimated from published studies and allows users to select any combinations of genes and cancers for their models, including well-established single syndrome BayesMendel models (BRCAPRO and MMRPRO). This leads to more accurate risk predictions and ultimately has a high impact on prevention strategies for cancer and clinical decision making. The package is available for download for research purposes at https://projects.iq.harvard.edu/bayesmendel/panelpro.
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Affiliation(s)
- Gavin Lee
- Swiss Data Science Center, ETH Zürich and EPFL, Lausanne, Switzerland
| | - Jane W Liang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, United States.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, United States
| | - Qing Zhang
- Broad Institute of MIT and Harvard, Cambridge, United States
| | - Theodore Huang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, United States.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, United States
| | - Christine Choirat
- Swiss Data Science Center, ETH Zürich and EPFL, Lausanne, Switzerland
| | - Giovanni Parmigani
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, United States.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, United States
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, United States.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, United States
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Choi YY, Shin SJ, Lee JE, Madlensky L, Lee ST, Park JS, Jo JH, Kim H, Nachmanson D, Xu X, Noh SH, Cheong JH, Harismendy O. Prevalence of cancer susceptibility variants in patients with multiple Lynch syndrome related cancers. Sci Rep 2021; 11:14807. [PMID: 34285288 PMCID: PMC8292343 DOI: 10.1038/s41598-021-94292-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 07/05/2021] [Indexed: 12/30/2022] Open
Abstract
Along with early-onset cancers, multiple primary cancers (MPCs) are likely resulting from increased genetic susceptibility; however, the associated predisposition genes or prevalence of the pathogenic variants genes in MPC patients are often unknown. We screened 71 patients with MPC of the stomach, colorectal, and endometrium, sequencing 65 cancer predisposition genes. A subset of 19 patients with early-onset MPC of stomach and colorectum were further evaluated for variants in cancer related genes using both normal and tumor whole exome sequencing. Among 71 patients with MPCs, variants classified to be pathogenic were observed in 15 (21.1%) patients and affected Lynch Syndrome (LS) genes: MLH1 (n = 10), MSH6 (n = 2), PMS2 (n = 2), and MSH2 (n = 1). All carriers had tumors with high microsatellite instability and 13 of them (86.7%) were early-onset, consistent with LS. In 19 patients with early-onset MPCs, loss of function (LoF) variants in RECQL5 were more prevalent in non-LS MPC than in matched sporadic cancer patients (OR = 31.6, 2.73–1700.6, p = 0.001). Additionally, there were high-confidence LoF variants at FANCG and CASP8 in two patients accompanied by somatic loss of heterozygosity in tumor, respectively. The results suggest that genetic screening should be considered for synchronous cancers and metachronous MPCs of the LS tumor spectrum, particularly in early-onset. Susceptibility variants in non-LS genes for MPC patients may exist, but evidence for their role is more elusive than for LS patients.
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Affiliation(s)
- Yoon Young Choi
- Department of Surgery, CHA University School of Medicine, Pocheon-si, Korea.,Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu,, Seoul, 120-752, Korea.,Yonsei Biomedical Research Institute, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea
| | - Su-Jin Shin
- Department of Pathology, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea
| | - Jae Eun Lee
- Yonsei Biomedical Research Institute, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea
| | - Lisa Madlensky
- Moores Cancer Center and Division of Biomedical Informatics Department of Medicine, University of California San Diego School of Medicine, 3855 Health Sciences Dr, La Jolla, CA, 92037, USA.,Department of Family Medicine and Public Health, University of California San Diego School of Medicine, San Diego, CA, USA
| | - Seung-Tae Lee
- Hereditary Cancer Clinic, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.,Department of Laboratory Medicine, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea
| | - Ji Soo Park
- Hereditary Cancer Clinic, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.,Department of Medicine, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea
| | - Jeong-Hyeon Jo
- Department of Pathology, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea
| | - Hyunki Kim
- Department of Pathology, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea
| | - Daniela Nachmanson
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego School of Medicine, San Diego, USA
| | - Xiaojun Xu
- Moores Cancer Center and Division of Biomedical Informatics Department of Medicine, University of California San Diego School of Medicine, 3855 Health Sciences Dr, La Jolla, CA, 92037, USA
| | - Sung Hoon Noh
- Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu,, Seoul, 120-752, Korea
| | - Jae-Ho Cheong
- Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu,, Seoul, 120-752, Korea. .,Yonsei Biomedical Research Institute, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.
| | - Olivier Harismendy
- Moores Cancer Center and Division of Biomedical Informatics Department of Medicine, University of California San Diego School of Medicine, 3855 Health Sciences Dr, La Jolla, CA, 92037, USA. .,Department of Medicine, University of California San Diego School of Medicine, San Diego, CA, USA.
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40
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Yang M, Li D, Jiang W, Zhu L, Ju H, Sun Y, Shan Y, Yang C, Dong J, Wang L, Wu B, Qiu M, Yin X, Wang X, Xiong B, Yan W, Liu T, Liu C, Mao X, Ding K, Zhang S, Zheng S, Xu D, Ding P, Yuan Y. Development and external validation of a novel nomogram for screening Chinese Lynch syndrome: based on a multicenter, population study. Ther Adv Med Oncol 2021; 13:17588359211023290. [PMID: 34178123 PMCID: PMC8207298 DOI: 10.1177/17588359211023290] [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: 11/16/2020] [Accepted: 05/19/2021] [Indexed: 02/05/2023] Open
Abstract
Background This multicenter study aimed to reveal the genetic spectrum of colorectal cancer (CRC) with deficient mismatch repair (dMMR) and build a screening model for Lynch syndrome (LS). Methods Through the immunohistochemical (IHC) screening of mismatch repair protein results in postoperative CRC patients, 311 dMMR cases, whose germline and somatic variants were detected using the ColonCore panel, were collected. Univariate and multivariate logistic regression analysis was performed on the clinical characteristics of these dMMR individuals, and a clinical nomogram, incorporating statistically significant factors identified using multivariate logistic regression analysis, was constructed to predict the probability of LS. The model was validated externally by an independent cohort. Results In total, 311 CRC patients with IHC dMMR included 95 identified MMR germline variant (LS) cases and 216 cases without pathogenic or likely pathogenic variants in MMR genes (non-Lynch-associated dMMR). Of the 95 individuals, approximately 51.6%, 28.4%, 14.7%, and 5.3% cases carried germline MLH1, MSH2, MSH6, and PMS2 pathogenic or likely pathogenic variants, respectively. A novel nomogram was then built to predict the probability of LS for CRC patients with dMMR intuitively. The receiver operating characteristic (ROC) curve informed that this nomogram-based screening model could identify LS with a higher specificity and sensitivity with an area under curve (AUC) of 0.87 than current screening criteria based on family history. In the external validation cohort, the AUC of the ROC curve reached 0.804, inferring the screening model's universal applicability. We recommend that dMMR-CRC patients with a probability of LS greater than 0.435 should receive a further germline sequencing. Conclusion This novel screening model based on the clinical characteristic differences between LS and non-Lynch-associated dMMR may assist clinicians to preliminarily screen LS and refer susceptible patients to experienced specialists.
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Affiliation(s)
- Mengyuan Yang
- Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dan Li
- Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wu Jiang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Lizhen Zhu
- Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Haixing Ju
- Department of Colorectal Surgery, Zhejiang Cancer Hospital, Hangzhou, China
| | - Yan Sun
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Yuqiang Shan
- Department of General Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chunkang Yang
- Department of Gastrointestinal Surgical Oncology, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Jian Dong
- Department of Colorectal Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming, China
| | - Lin Wang
- Department of Medical Oncology, 81st Hospital Affiliated to Nanjing University of Chinese Medicine, Nanjing, China
| | - Baoping Wu
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Meng Qiu
- Department of Medical Oncology, Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, China
| | - Xianli Yin
- Department of Gastroenterology and Urology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Xicheng Wang
- Department of Gastrointestinal Oncology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Bin Xiong
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Wei Yan
- Department of Pathology, The First Affiliated Hospital of Air Force Medical University, Xian, China
| | - Tao Liu
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Chenglin Liu
- Department of Bioinformatics, Burning Rock Biotech, Guangzhou, China
| | - Xinru Mao
- Medical Department, Burning Rock Biotech, Guangzhou, China
| | - Kefeng Ding
- Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Suzhan Zhang
- Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shu Zheng
- Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dong Xu
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China
| | - Peirong Ding
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ying Yuan
- Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China
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Park MS, Weissman SM, Postula KJV, Williams CS, Mauer CB, O'Neill SM. Utilization of breast cancer risk prediction models by cancer genetic counselors in clinical practice predominantly in the United States. J Genet Couns 2021; 30:1737-1747. [PMID: 34076301 DOI: 10.1002/jgc4.1442] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 05/03/2021] [Accepted: 05/04/2021] [Indexed: 01/07/2023]
Abstract
Risk assessment in cancer genetic counseling is essential in identifying individuals at high risk for developing breast cancer to recommend appropriate screening and management options. Historically, many breast cancer risk prediction models were developed to calculate an individual's risk to develop breast cancer or to carry a pathogenic variant in the BRCA1 or BRCA2 genes. However, how or when genetic counselors use these models in clinical settings is currently unknown. We explored genetic counselors' breast cancer risk model usage patterns including frequency of use, reasons for using or not using models, and change in usage since the adoption of multi-gene panel testing. An online survey was developed and sent to members of the National Society of Genetic Counselors; board-certified genetic counselors whose practice included cancer genetic counseling were eligible to participate in the study. The response rate was estimated at 23% (243/1,058), and respondents were predominantly working in the United States. The results showed that 93% of all respondents use at least one breast cancer risk prediction model in their clinical practice. Among the six risk models selected for the study, the Tyrer-Cuzick (IBIS) model was used most frequently (95%), and the BOADICEA model was used least (40%). Determining increased or decreased surveillance and breast MRI eligibility were the two most common reasons for most model usage, while time consumption and difficulty in navigation were the two most common reasons for not using models. This study provides insight into perceived benefits and limitations of risk models in clinical use in the United States, which may be useful information for software developers, genetic counseling program curriculum developers, and currently practicing cancer genetic counselors.
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Affiliation(s)
- Min Seon Park
- Northwestern Medical Group, Chicago, IL, USA.,Northwestern University Feinberg School of Medicine Graduate Program in Genetic Counseling, Chicago, IL, USA
| | | | | | - Carmen S Williams
- Northwestern Medical Group, Chicago, IL, USA.,Northwestern University Feinberg School of Medicine Graduate Program in Genetic Counseling, Chicago, IL, USA
| | | | - Suzanne M O'Neill
- Northwestern University Feinberg School of Medicine Graduate Program in Genetic Counseling, Chicago, IL, USA
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Kedar I, Walsh L, Levi GR, Lieberman S, Shtaya AA, Nathan SN, Lagovsky I, Tomashov-Matar R, Goldenberg M, Basel-Salmon L, Katz L, Aleme O, Peretz TY, Hubert A, Rothstein D, Castellvi-Bel S, Walsh T, King MC, Pritchard CC, Levi Z, Half E, Laish I, Goldberg Y. A novel founder MSH2 deletion in Ethiopian Jews is mainly associated with early-onset colorectal cancer. Fam Cancer 2021; 21:181-188. [PMID: 33837488 DOI: 10.1007/s10689-021-00249-x] [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: 12/04/2020] [Accepted: 03/29/2021] [Indexed: 11/27/2022]
Abstract
Lynch syndrome is an inherited cancer predisposition syndrome caused by germline defects in any of the mismatch repair (MMR) genes. Diagnosis of carriers makes precision prevention, early detection, and tailored treatment possible. Herein we report a novel founder deletion of 18,758 bp, mediated by Alu repeats on both sides, detected in Ethiopian Jews. The deletion, which encompasses exon 9-10 of the MSH2 coding sequence, is associated mainly with early-onset MSH2/MSH6-deficient colorectal cancer (CRC) and liposarcoma. Testing of 35 members of 5 seemingly unrelated families of Ethiopian origin yielded 10/21 (48%) carriers, of whom 9 had CRC. Age at first tumor diagnosis ranged from 16 to 89 years. Carriers from the oldest generations were diagnosed after age 45 years (mean 57), and carriers from the younger generation were diagnosed before age 45 years (mean 30). Awareness of this founder deletion is important to improve patient diagnosis, institute surveillance from an early age, and refer patients for genetic counseling addressing the risk of bi-allelic constitutional MMR deficiency syndrome.
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Affiliation(s)
- I Kedar
- The Raphael Recanati Genetics Institute, Rabin Medical Center - Beilinson Hospital, 39 Jabotinsky St., 4941492, Petach Tikva, Israel
| | - L Walsh
- Departments of Medicine and Genome Sciences, University of Washington, Seattle, WA, USA
| | - G Reznick Levi
- The Genetics Institute, Rambam Health Care Campus, Haifa, Israel
| | - S Lieberman
- Medical Genetics Institute, Shaare Zedek Medical Center, Jerusalem, Israel
| | - A Abu Shtaya
- Department of Internal Medicine, Carmel Medical Center, Haifa, Israel
| | - S Naftaly Nathan
- The Raphael Recanati Genetics Institute, Rabin Medical Center - Beilinson Hospital, 39 Jabotinsky St., 4941492, Petach Tikva, Israel
| | - I Lagovsky
- The Raphael Recanati Genetics Institute, Rabin Medical Center - Beilinson Hospital, 39 Jabotinsky St., 4941492, Petach Tikva, Israel
| | - R Tomashov-Matar
- The Raphael Recanati Genetics Institute, Rabin Medical Center - Beilinson Hospital, 39 Jabotinsky St., 4941492, Petach Tikva, Israel
| | - M Goldenberg
- The Raphael Recanati Genetics Institute, Rabin Medical Center - Beilinson Hospital, 39 Jabotinsky St., 4941492, Petach Tikva, Israel
| | - L Basel-Salmon
- The Raphael Recanati Genetics Institute, Rabin Medical Center - Beilinson Hospital, 39 Jabotinsky St., 4941492, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - L Katz
- Department of Gastroenterology and Hepatology, Hadassah Medical Center, Jerusalem, Israel
| | - O Aleme
- Genetics Institute, Emek Medical Center, Afula, Israel
| | - T Yablonski Peretz
- Sharett Institute of Oncology, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - A Hubert
- Gastrointestinal Cancer Center, Sharett Institute of Oncology, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | | | - S Castellvi-Bel
- Gastroenterology Department, Institut D'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, Barcelona, Spain
| | - T Walsh
- Departments of Medicine and Genome Sciences, University of Washington, Seattle, WA, USA
| | - M C King
- Departments of Medicine and Genome Sciences, University of Washington, Seattle, WA, USA
| | - C C Pritchard
- Department of Laboratory Medicine, University of Washington, Seattle, WA, USA
| | - Z Levi
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Division of Gastroenterology, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
| | - E Half
- Department of Gastroenterology, Rambam Health Care Campus, Haifa, Israel
| | - I Laish
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Gastroenterology Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Y Goldberg
- The Raphael Recanati Genetics Institute, Rabin Medical Center - Beilinson Hospital, 39 Jabotinsky St., 4941492, Petach Tikva, Israel.
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
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Kartal K, Guan Z, Tang R, Griffin M, Wang Y, Braun D, Klein AP, Hughes KS. Familial pancreatic cancer: who should be considered for genetic testing? Ir J Med Sci 2021; 191:641-650. [PMID: 33733397 DOI: 10.1007/s11845-021-02572-9] [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: 01/31/2021] [Accepted: 02/26/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Determining how many female patients who underwent breast imaging meet the eligibility criteria for genetic testing for familial pancreatic cancer (FPC). METHODS A total of 42,904 patients seen at the Newton-Wellesley Hospital between 2007 and 2009 were retrospectively reviewed. The first four categories were based on pancreatic cancer-associated syndromes: (1) hereditary breast and ovarian cancer (HBOC), (2) Lynch syndrome (LS), (3) familial atypical multiple mole melanoma (FAMMM), and (4) family history of FPC (FH-FPC). PancPRO (5) and MelaPRO (6) categories were based on risk scores from Mendelian risk prediction tool. RESULTS Exactly 4445 of 42,904 patients were found to be in at least one of the six risk categories. About 5.7% of patients were classified as being at high risk for HBOC, 2.3% as being at high risk for LS, 0.1% as being at high risk for FAMMM, 0.1% as being at high risk for FH-FPC, 2.7% as being at high risk based on PancPRO, and 0.2% as being at high risk based on MelaPRO. CONCLUSION About 10.4% of the female patients were classified as being at high risk for FPC. This finding emphasizes the importance of applying criteria to the general population, in order to ensure that individuals with high risk are identified early.
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Affiliation(s)
- Kinyas Kartal
- Division of Surgical Oncology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA. .,Department of General Surgery, Koc University Hospital, Istanbul, Turkey.
| | - Zoe Guan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Rong Tang
- Division of Surgical Oncology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Molly Griffin
- Division of Surgical Oncology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA.,University of Massachusetts Medical School, Worcester, MA, USA
| | - Yan Wang
- Division of Surgical Oncology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA.,Department of Breast Surgery, Shanghai Cancer Hospital, Fudan University, Shanghai, China
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alison P Klein
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins Medical Institution, Baltimore, MD, USA
| | - Kevin S Hughes
- Division of Surgical Oncology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
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Diagnosis of Lynch Syndrome and Strategies to Distinguish Lynch-Related Tumors from Sporadic MSI/dMMR Tumors. Cancers (Basel) 2021; 13:cancers13030467. [PMID: 33530449 PMCID: PMC7865821 DOI: 10.3390/cancers13030467] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/19/2021] [Accepted: 01/22/2021] [Indexed: 02/07/2023] Open
Abstract
Simple Summary Microsatellite instability (MSI) is a hallmark of Lynch syndrome (LS)-related tumors but is not specific, as most of MSI/mismatch repair-deficient (dMMR) tumors are sporadic. Therefore, the identification of MSI/dMMR requires additional diagnostic tools to identify LS. In this review, we address the hallmarks of LS and present recent advances in diagnostic and screening strategies to identify LS patients. We also discuss the pitfalls associated with current strategies, which should be taken into account in order to improve the diagnosis of LS. Abstract Microsatellite instability (MSI) is a hallmark of Lynch syndrome (LS)-related tumors but is not specific to it, as approximately 80% of MSI/mismatch repair-deficient (dMMR) tumors are sporadic. Methods leading to the diagnosis of LS have considerably evolved in recent years and so have tumoral tests for LS screening and for the discrimination of LS-related to MSI-sporadic tumors. In this review, we address the hallmarks of LS, including the clinical, histopathological, and molecular features. We present recent advances in diagnostic and screening strategies to identify LS patients. We also discuss the pitfalls associated with the current strategies, which should be taken into account to improve the diagnosis of LS and avoid inappropriate clinical management.
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Outtaleb FZ, Alami A, Serbati N, Benchakroun N, Bouchbika Z, Jouhadi H, Tawfiq N, Sahraoui S, Benider A, Dehbi H. Lynch syndrome or hereditary non polyposis colorectal cancer (HNPCC) in a moroccan family: Case report. Ann Med Surg (Lond) 2021; 62:123-126. [PMID: 33520207 PMCID: PMC7819804 DOI: 10.1016/j.amsu.2021.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/05/2021] [Accepted: 01/08/2021] [Indexed: 12/02/2022] Open
Abstract
Introduction and importance Colorectal cancer is a major global health problem. In 5% of cases, a genetic predisposition to cancer's syndrome is the etiology, such as Lynch syndrome. The population prevalence of Lynch syndrome has been estimated at 1/440. The objectives of this study are to show the interest of the oncogenetic consultation in the management of patients with suspicion of Lynch syndrome. Case presentation It is a 70-year-old patient with a family history of different neoplasms. The patient has also been followed for an adenocarcinoma of the colon. An oncogenetic consultation was indicated, which led to the diagnosis of Lynch syndrome, according to the Amsterdam II criteria. A study of the MisMatch Repair genes was requested, to allow a pre-symptomatic diagnosis of apparented subjects at risk, and thus to also allow monitoring and early diagnosis of neoplasms or prophylactic measures. Discussion Lynch syndrome is one of the most common cancer susceptibility syndromes. A constitutional deleterious mutation in one of the DNA MisMatch Repair genes, is responsible for nearly 70% of cases of this syndrome. The oncogenetic consultation and the identification of the genetics cause, makes it possible to set up specific monitoring and to offer a pre-symptomatic test to all major relatives of the index case. Conclusion This medical observation shows the benefit of the oncogenetic consultation, if a genetic predisposition to cancer's syndrome is suspected. The diagnostic of this predisposition and monitoring of the propositus and his exposed, like in Lynch syndrome will help in the early management of cancers, specially colorectal cancer and endometrial adenocarcinoma. Lynch syndrome in a moroccan family: A case report: It shows the interest of a oncogenetic consultation if we suspect a hereditary predisposition to cancers. And the necessity of the surveillance of the propositus and his exposed relatives, to make possible an early management of cancers.
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Affiliation(s)
- F Z Outtaleb
- Laboratory of Medical Genetics, Ibn Rochd University Hospital of Casablanca, Morocco
| | - A Alami
- Mohamed VI Oncology Center, Ibn Rochd University Hospital of Casablanca, Morocco
| | - N Serbati
- Laboratory of Medical Genetics, Ibn Rochd University Hospital of Casablanca, Morocco
| | - N Benchakroun
- Mohamed VI Oncology Center, Ibn Rochd University Hospital of Casablanca, Morocco
| | - Z Bouchbika
- Mohamed VI Oncology Center, Ibn Rochd University Hospital of Casablanca, Morocco
| | - H Jouhadi
- Mohamed VI Oncology Center, Ibn Rochd University Hospital of Casablanca, Morocco
| | - N Tawfiq
- Mohamed VI Oncology Center, Ibn Rochd University Hospital of Casablanca, Morocco
| | - S Sahraoui
- Mohamed VI Oncology Center, Ibn Rochd University Hospital of Casablanca, Morocco
| | - A Benider
- Mohamed VI Oncology Center, Ibn Rochd University Hospital of Casablanca, Morocco
| | - H Dehbi
- Laboratory of Medical Genetics, Ibn Rochd University Hospital of Casablanca, Morocco.,Cellular and Molecular Pathology Laboratory, Casablanca Faculty of Medicine and Pharmacy, Hassan II University, Morocco
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Ryan NAJ, McMahon RFT, Ramchander NC, Seif MW, Evans DG, Crosbie EJ. Lynch syndrome for the gynaecologist. THE OBSTETRICIAN & GYNAECOLOGIST : THE JOURNAL FOR CONTINUING PROFESSIONAL DEVELOPMENT FROM THE ROYAL COLLEGE OF OBSTETRICIANS & GYNAECOLOGISTS 2021; 23:9-20. [PMID: 33679238 PMCID: PMC7898635 DOI: 10.1111/tog.12706] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 04/20/2020] [Indexed: 02/06/2023]
Abstract
KEY CONTENT Lynch syndrome is an autosomal dominant condition closely associated with colorectal, endometrial and ovarian cancer.Women with Lynch syndrome are at increased risk of both endometrial and ovarian cancer and should be offered personalised counselling regarding family planning, red flag symptoms and risk-reducing strategies.Surveillance for gynaecological cancer in women with Lynch syndrome remains controversial; more robust data are needed to determine its effectiveness.Universal testing for Lynch syndrome in endometrial cancer is being adopted by centres across Europe and is now recommended by the National Institute for Health and Care Excellence; thus, gynaecologists must become familiar with testing strategies and their results.Testing strategies involve risk stratification of cancers based on phenotypical features and definitive germline testing. LEARNING OBJECTIVES To define the pathogenesis of Lynch syndrome and its associated gynaecological cancers.To understand the testing strategies for Lynch syndrome in women with gynaecological cancer.To learn how best to counsel women with Lynch syndrome regarding gynaecological cancer and risk-reducing strategies to enable informed decision-making. ETHICAL ISSUES Offering gynaecological surveillance despite a lack of robust evidence for its clinical effectiveness may falsely reassure women and delay risk-reducing hysterectomy.Genetic testing may yield variants of unknown significance with ill-defined clinical implications, which can lead to confusion and anxiety.Genetic testing has implications not only for the individual, but also for the whole family, so expert counselling is crucial.
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Affiliation(s)
- Neil AJ Ryan
- Obstetrics and Gynaecology Specialty Registrar and Honorary Clinical LecturerCentre for Academic Women’s HealthUniversity of BristolBristolUK
| | - Raymond FT McMahon
- Consultant Histopathologist and Emeritus Professor of Medical EducationDepartment of HistopathologyManchester University NHS Foundation TrustManchester Academic Health Science CentreManchesterUK
| | - Neal C Ramchander
- Foundation Programme DoctorDivision of Cancer SciencesFaculty of Biology, Medicine and HealthUniversity of ManchesterSt Mary's HospitalManchesterUK
| | - Mourad W Seif
- Consultant Gynaecologist and Honorary Senior LecturerDivision of GynaecologySt Mary’s HospitalManchester University NHS Foundation TrustManchester Academic Health Science CentreManchesterUK
| | - D Gareth Evans
- Professor of Medical Genetics and Cancer Epidemiology and Honorary Consultant in Medical GeneticsDivision of Evolution and Genomic MedicineUniversity of ManchesterSt Mary's HospitalManchesterUK
| | - Emma J Crosbie
- Professor of Gynaecology Oncology and Honorary Consultant Gynaecological OncologistDivision of Cancer SciencesFaculty of Biology, Medicine and HealthUniversity of ManchesterSt Mary's HospitalManchesterUK
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Yamamoto G, Miyabe I, Tanaka K, Kakuta M, Watanabe M, Kawakami S, Ishida H, Akagi K. SVA retrotransposon insertion in exon of MMR genes results in aberrant RNA splicing and causes Lynch syndrome. Eur J Hum Genet 2020; 29:680-686. [PMID: 33293698 DOI: 10.1038/s41431-020-00779-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 10/30/2020] [Accepted: 11/17/2020] [Indexed: 11/10/2022] Open
Abstract
Lynch syndrome is an autosomal dominant hereditary cancer syndrome in which many cancers develop, the main one being colorectal cancer. Germline pathogenic variants in one of four mismatch repair (MMR) genes are known to be causative of this disease. Accurate diagnosis using genetic testing can greatly benefit the health of those affected. Recently, owing to the improvement of sequence techniques, complicated variants affecting the functions of MMR genes were discovered. In this study, we analyzed insertions of a retrotransposon-like sequence in exon 5 of the MSH6 gene and exon 3 of the MSH2 gene found in Japanese families suspected of having Lynch syndrome. Both of these insertions induced aberrant splicing, and these variants were successfully identified by mRNA sequencing or visual observation of mapping results, although a standard DNA-seq analysis pipeline failed to detect them. The insertion sequences were ~2.5 kbp in length and were found to have the structure of an SVA retrotransposon (SVA). One SVA sequence was not present in the hg19 or hg38 reference genome, but was in a Japanese-specific reference sequence (JRGv2). Our study illustrates the difficulties of identifying SVA insertions in disease genes, and that the possibility of polymorphic insertions should be considered when analyzing mobile elements.
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Affiliation(s)
- Gou Yamamoto
- Department of Molecular Diagnosis and Cancer Prevention, Saitama Cancer Center, 780 Komuro, Ina-machi, Kitaadachi-gun, Saitama, 362-0806, Japan
| | - Izumi Miyabe
- Department of Molecular Diagnosis and Cancer Prevention, Saitama Cancer Center, 780 Komuro, Ina-machi, Kitaadachi-gun, Saitama, 362-0806, Japan
| | - Keisuke Tanaka
- Department of Molecular Diagnosis and Cancer Prevention, Saitama Cancer Center, 780 Komuro, Ina-machi, Kitaadachi-gun, Saitama, 362-0806, Japan
| | - Miho Kakuta
- Department of Molecular Diagnosis and Cancer Prevention, Saitama Cancer Center, 780 Komuro, Ina-machi, Kitaadachi-gun, Saitama, 362-0806, Japan
| | - Motoko Watanabe
- Department of Clinical Genetics, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Satoru Kawakami
- Department of Urology, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan
| | - Hideyuki Ishida
- Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan
| | - Kiwamu Akagi
- Department of Molecular Diagnosis and Cancer Prevention, Saitama Cancer Center, 780 Komuro, Ina-machi, Kitaadachi-gun, Saitama, 362-0806, Japan.
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Is tumor testing efficiency for Lynch syndrome different in rectal and colon cancer? Dig Liver Dis 2020; 52:1503-1511. [PMID: 32620519 DOI: 10.1016/j.dld.2020.06.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 06/01/2020] [Accepted: 06/02/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Tumor testing utility in Lynch syndrome (LS) diagnosis is established. AIMS Analyze the differences between tumor testing efficiency in rectal (RC) and colon cancer (CC). METHODS We performed immunohistochemistry (IHC) for MisMatch Repair (MMR) proteins (IHC-MMR) and MicroSatellite Instability analysis (MSI) on 482 unselected primary tumors: 320 CCs and 162 RCs. Samples had proficient-IHC, deficient-IHC or borderline-IHC ("patchy" expression). MSI-H borderline-IHC tumors were considered as likely MMR-deficient. Germline testing was offered to MMR-deficient patients without BRAF mutation or MLH1 promoter hypermetilation (MLH1-Hy). RESULTS We identified 51/482 (10.6%) MMR-defective tumors. Multivariable analysis demonstrated a significant correlation between tumor testing results with histotype, lymph-node involvement and tumor location. In particular, RC showed a lower MMR-deficiency rate than CC (p<0.0001). Interestingly, MLH1 loss was detected in 0% RCs and 76.1% CCs, with 80% of them showing BRAF mutation/MLH1-Hy. A germline variant was detected in 12 out of 18 patients (mutation detection rate of 66.7%). CONCLUSION Tumor testing results showed molecular differences between CCs and RCs, in terms of MMR proteins expression, and presence of BRAF mutation/MLH1-Hy. MSH6 variants were the most frequent ones (50%). Although young age at diagnosis was associated with mutation detection (p = 0.045), 33.3% of LS patients were >50 years.
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Rosenblum RE, Ang C, Suckiel SA, Soper ER, Sigireddi MR, Cullina S, Belbin GM, Lucas AL, Kenny EE, Abul-Husn NS. Lynch Syndrome-Associated Variants and Cancer Rates in an Ancestrally Diverse Biobank. JCO Precis Oncol 2020; 4:PO.20.00290. [PMID: 33283134 PMCID: PMC7713527 DOI: 10.1200/po.20.00290] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/16/2020] [Indexed: 12/22/2022] Open
Abstract
PURPOSE Limited data are available on the prevalence and clinical impact of Lynch syndrome (LS)-associated genomic variants in non-European ancestry populations. We identified and characterized individuals harboring LS-associated variants in the ancestrally diverse BioMe Biobank in New York City. PATIENTS AND METHODS Exome sequence data from 30,223 adult BioMe participants were evaluated for pathogenic, likely pathogenic, and predicted loss-of-function variants in MLH1, MSH2, MSH6, and PMS2. Survey and electronic health record data from variant-positive individuals were reviewed for personal and family cancer histories. RESULTS We identified 70 individuals (0.2%) harboring LS-associated variants in MLH1 (n = 12; 17%), MSH2 (n = 13; 19%), MSH6 (n = 16; 23%), and PMS2 (n = 29; 41%). The overall prevalence was 1 in 432, with higher prevalence among individuals of self-reported African ancestry (1 in 299) than among Hispanic/Latinx (1 in 654) or European (1 in 518) ancestries. Thirteen variant-positive individuals (19%) had a personal history, and 19 (27%) had a family history of an LS-related cancer. LS-related cancer rates were highest in individuals with MSH6 variants (31%) and lowest in those with PMS2 variants (7%). LS-associated variants were associated with increased risk of colorectal (odds ratio [OR], 5.0; P = .02) and endometrial (OR, 30.1; P = 8.5 × 10-9) cancers in BioMe. Only 2 variant-positive individuals (3%) had a documented diagnosis of LS. CONCLUSION We found a higher prevalence of LS-associated variants among individuals of African ancestry in New York City. Although cancer risk is significantly increased among variant-positive individuals, the majority do not harbor a clinical diagnosis of LS, suggesting underrecognition of this disease.
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Affiliation(s)
- Rachel E. Rosenblum
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Celina Ang
- Division of Hematology and Medical Oncology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Sabrina A. Suckiel
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Emily R. Soper
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Meenakshi R. Sigireddi
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Sinead Cullina
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Gillian M. Belbin
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Aimee L. Lucas
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Eimear E. Kenny
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Noura S. Abul-Husn
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
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50
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Yang Y, Hong C, Liang JW, Gruber S, Parmigiani G, Idos G, Braun D. A likelihood-based approach to assessing frequency of pathogenicity among variants of unknown significance in susceptibility genes. Stat Med 2020; 40:593-606. [PMID: 33120437 DOI: 10.1002/sim.8791] [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: 10/20/2019] [Revised: 08/24/2020] [Accepted: 10/12/2020] [Indexed: 11/12/2022]
Abstract
Commercialized multigene panel testing brings unprecedented opportunities to understand germline genetic contributions to hereditary cancers. Most genetic testing companies classify the pathogenicity of variants as pathogenic, benign, or variants of unknown significance (VUSs). The unknown pathogenicity of VUSs poses serious challenges to clinical decision-making. This study aims to assess the frequency of VUSs that are likely pathogenic in disease-susceptibility genes. Using estimates of probands' probability of having a pathogenic mutation (ie, the carrier score) based on a family history probabilistic risk prediction model, we assume the carrier score distribution for probands with VUSs is a mixture of the carrier score distribution for probands with positive results and the carrier score distribution for probands with negative results. Under this mixture model, we propose a likelihood-based approach to assess the frequency of pathogenicity among probands with VUSs, while accounting for the existence of possible pathogenic mutations on genes not tested. We conducted simulations to assess the performance of the approach and show that under various settings, the approach performs well with very little bias in the estimated proportion of VUSs that are likely pathogenic. We also estimate the positive predictive value across the entire range of carrier scores. We apply our approach to the USC-Stanford Hereditary Cancer Panel Testing cohort, and estimate the proportion of probands that have VUSs in BRCA1/2 that are likely pathogenic to be 10.12% [95%CI: 0%, 43.04%]. This approach will enable clinicians to target high-risk patients who have VUSs, allowing for early prevention interventions.
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Affiliation(s)
- Yunqi Yang
- Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, USA
| | - Christine Hong
- Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Jane W Liang
- City of Hope National Medical Cente, Duarte, California, USA.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Stephen Gruber
- Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Giovanni Parmigiani
- City of Hope National Medical Cente, Duarte, California, USA.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Gregory Idos
- Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Danielle Braun
- City of Hope National Medical Cente, Duarte, California, USA.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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