1
|
Durhuus JA, Galanakis M, Maltesen T, Therkildsen C, Rosthøj S, Klarskov LL, Lautrup CK, Andersen O, Nilbert MC. A registry-based study on universal screening for defective mismatch repair in colorectal cancer in Denmark highlights disparities in screening uptake and counselling referrals. Transl Oncol 2024; 46:102013. [PMID: 38824875 PMCID: PMC11170276 DOI: 10.1016/j.tranon.2024.102013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 05/15/2024] [Accepted: 05/27/2024] [Indexed: 06/04/2024] Open
Abstract
Universal screening for defective mismatch repair (dMMR) in colorectal cancer utilizes immunohistochemical staining for MLH1, MSH2, MSH6 and PSM2. Additionally, BRAF V600E mutations status and MLH1 hypermethylation should be performed to distinguish germline and somatic dMMR alterations. A decade of Danish population-based registries has been analysed regarding screening uptake, detection rate and referral to genetic counselling. MMR testing was performed in 71·8% (N = 34,664) of newly diagnosed colorectal cancers with an increasing trend to 88·8% coverage in the study's final year. The likelihood of undergoing MMR testing was reduced in males with 2% (95% CI 0·4-2·7, p = 0·008), with 4·1% in patients above age 70 years (95% CI 1·5-6·6, p = 0·003) compared in patients below age 51 years, with 16·3% in rectal cancers (95% CI 15·1-17·6, p < 0·001) and 1·4% left-sided colon cancers (95% CI 0·1-1·7, p = 0·03) compared to right-sided colon cancers. Tumour stage II and III increased the likelihood of being tested, with 3·7% for stage II (95% CI 2·2-5·6, p < 0·001) and 3·3% for stage III tumours (95% CI 1·8-4·8, p < 0·001) compared to stage I tumours, whereas the likelihood for stage IV tumours is reduced by 35·7% (95% CI 34·2-37·2, p < 0·001). Test rates significantly differed between the Danish health care regions. dMMR was identified in 15·1% (95% CI 14·8-15·6, p < 0·001) cases with somatic MMR inactivation in 6·7% of the cases. 8·3% tumours showed hereditary dMMR expression patterns, and 20·0% of those were referred to genetic counselling. Despite the high uptake rates, we found disparities between patient groups and missed opportunities for genetic diagnostics.
Collapse
Affiliation(s)
- Jon Ambæk Durhuus
- Department of Clinical Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegårds Allé 30, Copenhagen 2630, Denmark; Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.
| | - Michael Galanakis
- Danish Cancer Institute, Statistics and Data Analysis, Copenhagen, Denmark
| | - Thomas Maltesen
- Danish Cancer Institute, Statistics and Data Analysis, Copenhagen, Denmark
| | - Christina Therkildsen
- The Danish HNPCC Register, Gastro Unit, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Susanne Rosthøj
- Danish Cancer Institute, Statistics and Data Analysis, Copenhagen, Denmark
| | - Louise Laurberg Klarskov
- Department of Pathology, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Ove Andersen
- Department of Clinical Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegårds Allé 30, Copenhagen 2630, Denmark
| | - Mef Christina Nilbert
- Department of Clinical Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegårds Allé 30, Copenhagen 2630, Denmark; Institute of Clinical Sciences, Division of Oncology and Pathology, Lund University, Sweden
| |
Collapse
|
2
|
Jiang Z, Yan L, Deng S, Gu J, Qin L, Mao F, Xue Y, Cai W, Nie X, Liu H, Shang F, Tao K, Wang J, Wu K, Cao Y, Cai K. Development and Interpretation of a Clinicopathological-Based Model for the Identification of Microsatellite Instability in Colorectal Cancer. DISEASE MARKERS 2023; 2023:5178750. [PMID: 36860582 PMCID: PMC9969972 DOI: 10.1155/2023/5178750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 01/05/2023] [Accepted: 01/28/2023] [Indexed: 02/20/2023]
Abstract
Chemotherapy is not recommended for patients with deficient mismatch repair (dMMR) in colorectal cancer (CRC); therefore, assessing the status of MMR is crucial for the selection of subsequent treatment. This study is aimed at building predictive models to accurately and rapidly identify dMMR. A retrospective analysis was performed at Wuhan Union Hospital between May 2017 and December 2019 based on the clinicopathological data of patients with CRC. The variables were subjected to collinearity, least absolute shrinkage and selection operator (LASSO) regression, and random forest (RF) feature screening analyses. Four sets of machine learning models (extreme gradient boosting (XGBoost), support vector machine (SVM), naive Bayes (NB), and RF) and a conventional logistic regression (LR) model were built for model training and testing. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive performance of the developed models. In total, 2279 patients were included in the study and were randomly divided into either the training or test group. Twelve clinicopathological features were incorporated into the development of the predictive models. The area under curve (AUC) values of the five predictive models were 0.8055 for XGBoost, 0.8174 for SVM, 0.7424 for NB, 8584 for RF, and 0.7835 for LR (Delong test, P value < 0.05). The results showed that the RF model exhibited the best recognition ability and outperformed the conventional LR method in identifying dMMR and proficient MMR (pMMR). Our predictive models based on routine clinicopathological data can significantly improve the diagnostic performance of dMMR and pMMR. The four machine learning models outperformed the conventional LR model.
Collapse
Affiliation(s)
- Zhenxing Jiang
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Lizhao Yan
- Department of Hand Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Shenghe Deng
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Junnan Gu
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Le Qin
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
- Department of General Surgery, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang 832008, China
| | - Fuwei Mao
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Yifan Xue
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Wentai Cai
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Xiu Nie
- Department of Pathology, Union Hospital, Tongji Medical, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Hongli Liu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Fumei Shang
- Department of Medical Oncology, Nanyang Central Hospital, Nanyang, Henan, China
| | - Kaixiong Tao
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Jiliang Wang
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Ke Wu
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Yinghao Cao
- Department of Digestive Surgical Oncology, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Kailin Cai
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| |
Collapse
|
3
|
Chaudhari VS, Hole KC, Issa AM. Evaluating the quality of the economic evidence in colorectal cancer genomics studies. Per Med 2022; 19:361-375. [PMID: 35786999 DOI: 10.2217/pme-2021-0006] [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: 11/21/2022]
Abstract
The increase in the use of genome-based screening and diagnostic tests adds to the overall costs of oncologic care for colorectal cancer. This, in turn, has resulted in an increase in published economic analyses. Aim: To perform a systematic literature review of the available economic evidence evaluating the value of genomic testing for colorectal cancer and appraise the quality of the economic studies conducted to date. Methods: A systematic review of the literature for economic studies of colorectal cancer genomics from January 2006 through October 2020, and evaluation of study quality using the Quality of Health Economic Studies (QHES) instrument was conducted. The validated QHES was then applied to a final set of articles that met eligibility criteria. Results: Our search of the literature initially yielded 12,859 records. A final set of 49 articles met our inclusion criteria. The QHES score ranged from 24 to 100, with an average score of 82. Most of the studies (n = 40, 82%) scored above 75 and were considered of good quality. Conclusion: Our analysis revealed that most of the economic analyses of colorectal cancer genomic molecular diagnostics in the literature may be of good quality. There is, however, some variation in methodological rigor between the articles.
Collapse
Affiliation(s)
- Vivek S Chaudhari
- Personalized Precision Medicine & Targeted Therapeutics, Springfield, PA 19064, USA.,Health Policy, University of the Sciences, Philadelphia, PA 19104, USA
| | - Kanchan C Hole
- Personalized Precision Medicine & Targeted Therapeutics, Springfield, PA 19064, USA
| | - Amalia M Issa
- Personalized Precision Medicine & Targeted Therapeutics, Springfield, PA 19064, USA.,Health Policy, University of the Sciences, Philadelphia, PA 19104, USA.,Pharmaceutical Sciences, University of the Sciences, Philadelphia, PA 19104, USA.,Family Medicine, McGill University, Montreal, QC, H3S 1Z1, Canada
| |
Collapse
|
4
|
Alblas M, Peterse EFP, Du M, Zauber AG, Steyerberg EW, van Leeuwen N, Lansdorp-Vogelaar I. Cost-effectiveness of prophylactic hysterectomy in first-degree female relatives with Lynch syndrome of patients diagnosed with colorectal cancer in the United States: a microsimulation study. Cancer Med 2021; 10:6835-6844. [PMID: 34510779 PMCID: PMC8495276 DOI: 10.1002/cam4.4080] [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: 11/14/2020] [Revised: 04/15/2021] [Accepted: 05/28/2021] [Indexed: 12/16/2022] Open
Abstract
Background To evaluate the cost‐effectiveness of prophylactic hysterectomy (PH) in women with Lynch syndrome (LS). Methods We developed a microsimulation model incorporating the natural history for the development of hyperplasia with and without atypia into endometrial cancer (EC) based on the MISCAN‐framework. We simulated women identified as first‐degree relatives (FDR) with LS of colorectal cancer patients after universal testing for LS. We estimated costs and benefits of offering this cohort PH, accounting for reduced quality of life after PH and for having EC. Three minimum ages (30/35/40) and three maximum ages (70/75/80) were compared to no PH. Results In the absence of PH, the estimated number of EC cases was 300 per 1,000 women with LS. Total associated costs for treatment of EC were $5.9 million. Offering PH to FDRs aged 40–80 years was considered optimal. This strategy reduced the number of endometrial cancer cases to 5.4 (−98%), resulting in 516 quality‐adjusted life years (QALY) gained and increasing the costs (treatment of endometrial cancer and PH) to $15.0 million (+154%) per 1,000 women. PH from earlier ages was more costly and resulted in fewer QALYs, although this finding was sensitive to disutility for PH. Conclusions Offering PH to 40‐ to 80‐year‐old women with LS is expected to add 0.5 QALY per person at acceptable costs. Women may decide to have PH at a younger age, depending on their individual disutility for PH and premature menopause.
Collapse
Affiliation(s)
- Maaike Alblas
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Elisabeth F P Peterse
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands.,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Mengmeng Du
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ann G Zauber
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ewout W Steyerberg
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Nikki van Leeuwen
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Iris Lansdorp-Vogelaar
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| |
Collapse
|
5
|
Cost-Effectiveness of Colorectal Cancer Genetic Testing. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18168330. [PMID: 34444091 PMCID: PMC8394708 DOI: 10.3390/ijerph18168330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/30/2021] [Accepted: 08/03/2021] [Indexed: 12/24/2022]
Abstract
Colorectal cancer (CRC) remains the second leading cause of cancer-related deaths worldwide. Approximately 3–5% of CRCs are associated with hereditary cancer syndromes. Individuals who harbor germline mutations are at an increased risk of developing early onset CRC, as well as extracolonic tumors. Genetic testing can identify genes that cause these syndromes. Early detection could facilitate the initiation of targeted prevention strategies and surveillance for CRC patients and their families. The aim of this study was to determine the cost-effectiveness of CRC genetic testing. We utilized a cross-sectional design to determine the cost-effectiveness of CRC genetic testing as compared to the usual screening method (iFOBT) from the provider’s perspective. Data on costs and health-related quality of life (HRQoL) of 200 CRC patients from three specialist general hospitals were collected. A mixed-methods approach of activity-based costing, top-down costing, and extracted information from a clinical pathway was used to estimate provider costs. Patients and family members’ HRQoL were measured using the EQ-5D-5L questionnaire. Data from the Malaysian Study on Cancer Survival (MySCan) were used to calculate patient survival. Cost-effectiveness was measured as cost per life-year (LY) and cost per quality-adjusted life-year (QALY). The provider cost for CRC genetic testing was high as compared to that for the current screening method. The current practice for screening is cost-saving as compared to genetic testing. Using a 10-year survival analysis, the estimated number of LYs gained for CRC patients through genetic testing was 0.92 years, and the number of QALYs gained was 1.53 years. The cost per LY gained and cost per QALY gained were calculated. The incremental cost-effectiveness ratio (ICER) showed that genetic testing dominates iFOBT testing. CRC genetic testing is cost-effective and could be considered as routine CRC screening for clinical practice.
Collapse
|
6
|
Cao Y, Peng T, Li H, Yang M, Wu L, Zhou Z, Zhang X, Han S, Bao H, Cai K, Zhao N. Development and validation of MMR prediction model based on simplified clinicopathological features and serum tumour markers. EBioMedicine 2020; 61:103060. [PMID: 33096478 PMCID: PMC7578682 DOI: 10.1016/j.ebiom.2020.103060] [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: 06/01/2020] [Revised: 09/09/2020] [Accepted: 09/24/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Although simplified clinicopathological features and serum tumour markers (STMs) were reported to be associated with the status of mismatch repair (MMR) in colorectal cancer (CRC) patients, their predictive value alone or in combination for MMR status remains unknown. METHODS A retrospective analysis of 3274 participants with MMR testing and STMs measurements from two institutions was conducted. The prediction model was developed in the primary cohort that consisted of 1964 participants. Best subset regression was applied to select the most useful predictors from the primary dataset. The performance of the nomogram was evaluated with respect to its calibration, discrimination, and clinical usefulness. External validation was performed in an independent validation cohort of 1310 consecutive CRC patients. FINDINGS Among the ten simplified clinicopathological features, seven variables were selected as the best subset of risk factors to develop pathology-based model, including age, tumour diameters, histology, tumour location, perineural invasion, the number of sampled lymph nodes (LNs) and positive LNs. The model showed good calibration and discrimination, with an AUC of 0.756 (95% CI, 0.722 to 0.789) in the primary cohort and 0.754 (95% CI, 0.715 to 0.793) in the validation cohort. After the addition of CEA and CA 72-4, the performance of pathology-based model was significantly improved in in both the primary cohort (AUC: 0.805 (0.774-0.835) vs. 0.756 (0.722-0.789), P < 0.001) and validation cohort (AUC: 0.796 (0.758-0.835) vs. 0.754 (0.715-0.793), P < 0.001). The results of decision curve analysis revealed that using our models to predict the status of MMR would add more benefit than either the detect-all-patients scheme or the detect-none scheme. INTERPRETATION The models based on simplified clinicopathological features alone or in combination with STMs can be conveniently used to facilitate the postoperative individualized prediction of MMR status in CRC patients.
Collapse
Affiliation(s)
- Yinghao Cao
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road No. 1277, Wuhan, Hubei 430022, China
| | - Tao Peng
- Department of Pancreatic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Han Li
- Department of Gastrointestinal Colorectal Surgery, China-Japan Union Hospital of Jilin University, Changchun 130000, China
| | - Ming Yang
- Department of Pathology, Union Hospital, Tongji Medical, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Liang Wu
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road No. 1277, Wuhan, Hubei 430022, China
| | - Zili Zhou
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road No. 1277, Wuhan, Hubei 430022, China
| | - Xudan Zhang
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road No. 1277, Wuhan, Hubei 430022, China
| | - Shengbo Han
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road No. 1277, Wuhan, Hubei 430022, China
| | - Haijun Bao
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road No. 1277, Wuhan, Hubei 430022, China
| | - Kailin Cai
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road No. 1277, Wuhan, Hubei 430022, China.
| | - Ning Zhao
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road No. 1277, Wuhan, Hubei 430022, China.
| |
Collapse
|
7
|
Bläker H, Haupt S, Morak M, Holinski-Feder E, Arnold A, Horst D, Sieber-Frank J, Seidler F, von Winterfeld M, Alwers E, Chang-Claude J, Brenner H, Roth W, Engel C, Löffler M, Möslein G, Schackert HK, Weitz J, Perne C, Aretz S, Hüneburg R, Schmiegel W, Vangala D, Rahner N, Steinke-Lange V, Heuveline V, von Knebel Doeberitz M, Ahadova A, Hoffmeister M, Kloor M. Age-dependent performance of BRAF mutation testing in Lynch syndrome diagnostics. Int J Cancer 2020; 147:2801-2810. [PMID: 32875553 DOI: 10.1002/ijc.33273] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 07/17/2020] [Accepted: 08/03/2020] [Indexed: 12/11/2022]
Abstract
BRAF V600E mutations have been reported as a marker of sporadic microsatellite instability (MSI) colorectal cancer (CRC). Current international diagnostic guidelines recommend BRAF mutation testing in MSI CRC patients to predict low risk of Lynch syndrome (LS). We evaluated the age-specific performance of BRAF testing in LS diagnostics. We systematically compared the prevalence of BRAF mutations in LS-associated CRCs and unselected MSI CRCs in different age groups as available from published studies, databases and population-based patient cohorts. Sensitivity/specificity analysis of BRAF testing for exclusion of LS and cost calculations were performed. Among 969 MSI CRCs from LS carriers in the literature and German HNPCC Consortium, 15 (1.6%) harbored BRAF mutations. Six of seven LS patients with BRAF-mutant CRC and reported age were <50 years. Among 339 of 756 (44.8%) of BRAF mutations detected in unselected MSI CRC, only 2 of 339 (0.6%) BRAF mutations were detected in patients <50 years. The inclusion of BRAF testing led to high risk of missing LS patients and increased costs at age <50 years. BRAF testing in patients <50 years carries a high risk of missing a hereditary cancer predisposition and is cost-inefficient. We suggest direct referral of MSI CRC patients <50 years to genetic counseling without BRAF testing.
Collapse
Affiliation(s)
- Hendrik Bläker
- Department of General Pathology, Institute of Pathology, University Hospital Leipzig, Leipzig, Germany
| | - Saskia Haupt
- Engineering Mathematics and Computing Lab (EMCL), Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
| | - Monika Morak
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Munich, Germany.,Medical Genetics Center, Munich, Germany
| | - Elke Holinski-Feder
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Munich, Germany.,Medical Genetics Center, Munich, Germany
| | - Alexander Arnold
- Department of General Pathology, Institute of Pathology, Charite Berlin, Berlin, Germany
| | - David Horst
- Department of General Pathology, Institute of Pathology, Charite Berlin, Berlin, Germany
| | - Julia Sieber-Frank
- Department of Applied Tumor Biology, University Hospital Heidelberg, Cooperation Unit Applied Tumor Biology, German Cancer research Center (DKFZ), and Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg, Heidelberg, Germany
| | - Florian Seidler
- Department of Applied Tumor Biology, University Hospital Heidelberg, Cooperation Unit Applied Tumor Biology, German Cancer research Center (DKFZ), and Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg, Heidelberg, Germany
| | - Moritz von Winterfeld
- Department of General Pathology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Elizabeth Alwers
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ) Heidelberg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, Unit of Genetic Epidemiology, German Cancer Research Center (DKFZ) Heidelberg, Hiedelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ) Heidelberg, Germany.,Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT) Heidelberg, Germany.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wilfried Roth
- Institute of Pathology, University Hospital Mainz, Mainz, Germany
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Markus Löffler
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Gabriela Möslein
- Center for Hereditary Tumors, Helios University Hospital Wuppertal, University of Witten/Herdecke, Wuppertal, Germany
| | - Hans-Konrad Schackert
- Department of Surgery, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Jürgen Weitz
- Department of Surgery, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Claudia Perne
- Institute of Human Genetics, University of Bonn, Bonn, Germany.,Center for Hereditary Tumor Syndromes, University Hospital Bonn, Bonn, Germany
| | - Stefan Aretz
- Institute of Human Genetics, University of Bonn, Bonn, Germany.,Center for Hereditary Tumor Syndromes, University Hospital Bonn, Bonn, Germany
| | - Robert Hüneburg
- Center for Hereditary Tumor Syndromes, University Hospital Bonn, Bonn, Germany
| | - Wolff Schmiegel
- Department of Medicine, Knappschaftskrankenhaus, Ruhr-University Bochum, Bochum, Germany
| | - Deepak Vangala
- Department of Medicine, Knappschaftskrankenhaus, Ruhr-University Bochum, Bochum, Germany
| | - Nils Rahner
- Medical Faculty, Institute of Human Genetics, Heinrich-Heine University, Düsseldorf, Germany
| | - Verena Steinke-Lange
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Munich, Germany.,Medical Genetics Center, Munich, Germany
| | - Vincent Heuveline
- Engineering Mathematics and Computing Lab (EMCL), Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
| | - Magnus von Knebel Doeberitz
- Department of Applied Tumor Biology, University Hospital Heidelberg, Cooperation Unit Applied Tumor Biology, German Cancer research Center (DKFZ), and Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg, Heidelberg, Germany
| | - Aysel Ahadova
- Department of Applied Tumor Biology, University Hospital Heidelberg, Cooperation Unit Applied Tumor Biology, German Cancer research Center (DKFZ), and Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg, Heidelberg, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ) Heidelberg, Germany
| | - Matthias Kloor
- Department of Applied Tumor Biology, University Hospital Heidelberg, Cooperation Unit Applied Tumor Biology, German Cancer research Center (DKFZ), and Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg, Heidelberg, Germany
| | | |
Collapse
|
8
|
Kang YJ, Killen J, Caruana M, Simms K, Taylor N, Frayling IM, Snowsill T, Huxley N, Coupe VM, Hughes S, Freeman V, Boussioutas A, Trainer AH, Ward RL, Mitchell G, Macrae FA, Canfell K. The predicted impact and cost-effectiveness of systematic testing of people with incident colorectal cancer for Lynch syndrome. Med J Aust 2019; 212:72-81. [PMID: 31595523 PMCID: PMC7027559 DOI: 10.5694/mja2.50356] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 06/01/2019] [Indexed: 01/13/2023]
Abstract
OBJECTIVES To evaluate the health impact and cost-effectiveness of systematic testing for Lynch syndrome (LS) in people with incident colorectal cancer (CRC) in Australia. DESIGN, SETTING, PARTICIPANTS We investigated the impact of LS testing strategies in a micro-simulation model (Policy1-Lynch), explicitly modelling the cost of testing all patients diagnosed with incident CRC during 2017, with detailed modelling of outcomes for patients identified as LS carriers (probands) and their at-risk relatives throughout their lifetimes. For people with confirmed LS, we modelled ongoing colonoscopic surveillance. MAIN OUTCOME MEASURES Cost-effectiveness of six universal tumour testing strategies (testing for DNA mismatch repair deficiencies) and of universal germline gene panel testing of patients with incident CRC; impact on cost-effectiveness of restricting testing by age at CRC diagnosis (all ages, under 50/60/70 years) and of colonoscopic surveillance interval (one, two years). RESULTS The cost-effectiveness ratio of universal tumour testing strategies (annual colonoscopic surveillance, no testing age limit) compared with no testing ranged from $28 915 to $31 904/life-year saved (LYS) (indicative willingness-to-pay threshold: $30 000-$50 000/LYS). These strategies could avert 184-189 CRC deaths with an additional 30 597-31 084 colonoscopies over the lifetimes of 1000 patients with incident CRC with LS and 1420 confirmed LS carrier relatives (164-166 additional colonoscopies/death averted). The most cost-effective strategy was immunohistochemistry and BRAF V600E testing (incremental cost-effectiveness ratio [ICER], $28 915/LYS). Universal germline gene panel testing was not cost-effective compared with universal tumour testing strategies (ICER, $2.4 million/LYS). Immunohistochemistry and BRAF V600E testing was cost-effective at all age limits when paired with 2-yearly colonoscopic surveillance (ICER, $11 525-$32 153/LYS), and required 4778-15 860 additional colonoscopies to avert 46-181 CRC deaths (88-103 additional colonoscopies/death averted). CONCLUSIONS Universal tumour testing strategies for guiding germline genetic testing of people with incident CRC for LS in Australia are likely to be cost-effective compared with no testing. Universal germline gene panel testing would not currently be cost-effective.
Collapse
Affiliation(s)
- Yoon-Jung Kang
- Cancer Research Division, Cancer Council New South Wales, Sydney, NSW
| | - James Killen
- Cancer Research Division, Cancer Council New South Wales, Sydney, NSW
| | - Michael Caruana
- Cancer Research Division, Cancer Council New South Wales, Sydney, NSW
| | - Kate Simms
- Cancer Research Division, Cancer Council New South Wales, Sydney, NSW
| | - Natalie Taylor
- Cancer Research Division, Cancer Council New South Wales, Sydney, NSW
| | - Ian M Frayling
- Institute of Medical Genetics, University Hospital of Wales, Cardiff, United Kingdom.,Institute of Cancer and Genetics, Cardiff University, Cardiff, United Kingdom
| | | | - Nicola Huxley
- Centre for Health Economics, Monash Business School, Monash University, Melbourne, VIC
| | - Veerle Mh Coupe
- Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Suzanne Hughes
- Cancer Research Division, Cancer Council New South Wales, Sydney, NSW
| | - Victoria Freeman
- Cancer Research Division, Cancer Council New South Wales, Sydney, NSW
| | - Alex Boussioutas
- University of Melbourne, Melbourne, VIC.,Royal Melbourne Hospital, Melbourne, VIC
| | - Alison H Trainer
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Institute, Melbourne, VIC
| | - Robyn L Ward
- University of Sydney, Sydney, NSW.,University of New South Wales, Sydney, NSW
| | - Gillian Mitchell
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Institute, Melbourne, VIC
| | | | - Karen Canfell
- Cancer Research Division, Cancer Council New South Wales, Sydney, NSW.,University of Sydney, Sydney, NSW.,University of New South Wales, Sydney, NSW
| |
Collapse
|
9
|
Yozu M, Kumarasinghe MP, Brown IS, Gill AJ, Rosty C. Australasian Gastrointestinal Pathology Society (AGPS) consensus guidelines for universal defective mismatch repair testing in colorectal carcinoma. Pathology 2019; 51:233-239. [DOI: 10.1016/j.pathol.2018.11.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2018] [Revised: 11/18/2018] [Accepted: 11/25/2018] [Indexed: 01/28/2023]
|
10
|
Cohen SA, Pritchard CC, Jarvik GP. Lynch Syndrome: From Screening to Diagnosis to Treatment in the Era of Modern Molecular Oncology. Annu Rev Genomics Hum Genet 2019; 20:293-307. [PMID: 30848956 DOI: 10.1146/annurev-genom-083118-015406] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Lynch syndrome is a hereditary cancer predisposition syndrome caused by germline alterations in the mismatch repair genes and is the most common etiology of hereditary colorectal cancer. While Lynch syndrome was initially defined by the clinical Amsterdam criteria, these criteria lack the sensitivity needed for clinical utility. This review covers the evolution of screening for Lynch syndrome from the use of tumor microsatellite instability and/or somatic alterations in mismatch repair protein expression by immunohistochemistry to the newest methods using next-generation sequencing. Additionally, it discusses the clinical implications of the diagnosis of Lynch syndrome as it affects cancer therapeutics and the role of screening in noncolorectal Lynch-associated cancers. As molecular oncology continues to evolve, it is crucial to remain current on the increasing complexity of Lynch syndrome diagnostics and treatment options.
Collapse
Affiliation(s)
- Stacey A Cohen
- Division of Oncology, University of Washington, Seattle, Washington 98109, USA; .,Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Colin C Pritchard
- Department of Laboratory Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington 98195, USA.,Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| |
Collapse
|