22 research outputs found
Prognostic factors for ampullary adenocarcinomas: tumor stage, tumor histology, tumor location, immunohistochemistry and microsatellite instability
Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification
Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
Abstract The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared to information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known non-pathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification. This article is protected by copyright. All rights reserved.Peer reviewe
Prognostic factors for ampullary adenocarcinomas: tumor stage, tumor histology, tumor location, immunohistochemistry and microsatellite instability
Prognostic factors for ampullary carcinomas (ACs) are poorly defined. Fifty three resected ACs were analyzed for CDX2, MUC1, MUC5AC, MUC6, MUC2, and for mismatch repair proteins (hMLH1, hMSH2, PMS2, hMSH6) using immunohistochemistry. Microsatellite instability (MSI) status was evaluated by fluorescently labeled PCR using an automated sequencer. Univariate and multivariate analysis was performed for clinicopathological, immunohistochemical and molecular parameters. CDX2 was found in 32 out of 53 (60%) ACs with a significantly higher frequency among intestinal ACs compared with biliopancreatic (BP) ACs. The MUC1, MUC5AC, MUC6, MUC2 apomucins were expressed in 75, 43, 39, and 28% of ACs, respectively, with a significantly higher coexpression of MUC1/MUC5AC in BP ACs. MSI and loss of expression of hMLH1/PMS2 or hMSH2/hMSH6 proteins were observed only in intestinal ACs. Factors significantly correlated with improved survival in the univariate analysis were: low stage, absence of lymph nodes metastases, negative surgical margins (R0 status), and presence of MSI. In the multivariate analysis, stage was the only independent prognostic factor of survival. We conclude that stage is the only independent prognostic factor of survival in the multivariate analysis, whereas histological criteria and the immunohistochemical expression of apomucins and CDX2 are helpful in the classification and understanding of the histogenesis of ACs
Disruption of the APC gene by t(5;7) translocation in a Turcot family
Turcot syndrome (TS) refers to the combination of colorectal polyps and primary tumours of the central nervous system. TS is a heterogeneous genetic condition due to APC and/or mismatch repair germline mutations. When APC is involved the vast majority of mutations are truncating, but in approximately 20%-30% of patients with familial polyposis no germline mutation can be found. A 30-year-old Caucasian woman with a positive pedigree for TS was referred to our Genetic Counselling Service. She was negative for APC and MUTYH but showed a reciprocal balanced translocation t(5;7)(q22;p15) at chromosome analysis. FISH analysis using specific BAC probes demonstrated that 5q22 breakpoint disrupted the APC gene. Transcript analysis by MLPA and digital PCR revealed that the cytogenetic rearrangement involving the 3' end of the APC gene caused a defective expression of a truncated transcript. This result allowed cytogenetic analysis to be offered to all the other family members and segregation analysis clearly demonstrated that all the carriers were affected, whereas non-carriers did not have the polyposis. A cytogenetic approach permitted the identification of the mutation-causing disease in this family, and the segregation analysis together with the transcript study supported the pathogenetic role of this mutation. Karyotype analysis was used as a predictive test in all members of this family. This family suggests that clinically positive TS and FAP cases, which test negative with standard molecular analysis, could be easily and cost-effectively resolved by a classical and molecular cytogenetic approach
Two Cases of Carcinosarcomas of the Ovary Involved in Hereditary Cancer Syndromes
Ovarian carcinosarcomas (OCS), also known as malignant mixed mesodermal/M\ufcllerian tumors, are rare neoplasms (1%-4% of all malignant ovarian tumors) composed of high-grade malignant epithelial and mesenchymal elements. OCS occurs in older women. It is associated with a poor outcome and is usually not involved in inherited cancer syndromes. We present 2 cases of OCS; one arising in a patient with a pathogenetic BRCA1 mutation and the other in a woman affected by Lynch Syndrome (LS) carrying a MSH6 germline mutation. To the best of our knowledge, this is the first time that this second type of case has been reported. In this study, we investigated somatic impairment of the wild-type BRCA1 and MSH6 alleles in the OCS of these 2 patients. We also explored in both OCS, the occurrence of TP53 loss of function, which is a genetic alteration known to occur in BRCA-linked ovarian tumorigenesis but not in LS tumors. Moreover, we also provide further data about the histogenesis of OCS
A cost analysis of inherited colorectal cancer care in Varese Province
Aim: Little scientific evidence is available on the costs of targeted genetic testing and surveillance programmes for the identification of hereditary colorectal cancers (HCRC). The present study is a cost analysis of an intensive surveillance programme with and without the use of genetic testing, carried out in a province of northern Italy. Additionally, cancer care using an intensive surveillance programme for gene carrier subjects was compared to cancer care in subjects not selected for genetic testing who followed unselective clinical surveillance. Methods: A model based on epidemiological factors was developed to estimate the incidence of gene carriers for Lynch Syndrome. A hypothetical cohort of 98 healthy people with a high cancer risk (due to being carriers of a pathogenetic MMR mutation) was followed over a period of ten years. To evaluate the economic burden of using genetic testing, a cost analysis was performed. Results: Despite genetic testing causing an initial increase in costs, their use within an intensive surveillance programme generated a saving of 24%, thanks to a better selection of individuals at high risk of colorectal cancers (CRC). This resulted in reduced resource consumption and in an overall saving of 36%, when considering the treatment of patients developing a genetic cancer, as compared to an unselective clinical surveillance. Conclusions: Identification of HCRC led to surveillance that is more effective and could prevent premature death of patients affected by the most common hereditary forms of CRC. This, in the long-term, could result in an overall reduction of cancer care costs