scholarly journals Copy-number variants in patients with a strong family history of pancreatic cancer

2007 ◽  
Vol 6 (10) ◽  
pp. 1592-1599 ◽  
Author(s):  
Robert Lucito ◽  
Shubha Suresh ◽  
Kimberly Walter ◽  
Akhilesh Pandey ◽  
B. Lakshmi ◽  
...  
2012 ◽  
Vol 18 (16) ◽  
pp. 4303-4312 ◽  
Author(s):  
Seung-Mo Hong ◽  
Audrey Vincent ◽  
Mitsuro Kanda ◽  
Julie Leclerc ◽  
Noriyuki Omura ◽  
...  

Pancreas ◽  
2009 ◽  
Vol 38 (5) ◽  
pp. e137-e150 ◽  
Author(s):  
William M. Steinberg ◽  
Jamie S. Barkin ◽  
Edward L. Bradley ◽  
Eugene DiMagno ◽  
Peter Layer ◽  
...  

Genes ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 430
Author(s):  
Steven R. Bentley ◽  
Ilaria Guella ◽  
Holly E. Sherman ◽  
Hannah M. Neuendorf ◽  
Alex M. Sykes ◽  
...  

Parkinson’s disease (PD) is typically sporadic; however, multi-incident families provide a powerful platform to discover novel genetic forms of disease. Their identification supports deciphering molecular processes leading to disease and may inform of new therapeutic targets. The LRRK2 p.G2019S mutation causes PD in 42.5–68% of carriers by the age of 80 years. We hypothesise similarly intermediately penetrant mutations may present in multi-incident families with a generally strong family history of disease. We have analysed six multiplex families for missense variants using whole exome sequencing to find 32 rare heterozygous mutations shared amongst affected members. Included in these mutations was the KCNJ15 p.R28C variant, identified in five affected members of the same family, two elderly unaffected members of the same family, and two unrelated PD cases. Additionally, the SIPA1L1 p.R236Q variant was identified in three related affected members and an unrelated familial case. While the evidence presented here is not sufficient to assign causality to these rare variants, it does provide novel candidates for hypothesis testing in other modestly sized families with a strong family history. Future analysis will include characterisation of functional consequences and assessment of carriers in other familial cases.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16240-e16240
Author(s):  
Viola Barucca ◽  
Andrea Petricca Mancuso ◽  
Salvatore De Marco ◽  
Daniela Iacono ◽  
Carmelilia De Bernardo ◽  
...  

e16240 Background: Germline pathogenetic mutations in BRCA1/2 genes are described in pancreatic cancer patients (PCP) in about 5–9% of cases. The purpose of this study was to determine their relevance in an unselected consecutive cohort of PCP describing family and clinical history. Methods: Patients (pts) were recruited at a single cancer center from September 2019 to October 2020. Participants provided blood for DNA analysis; cancer family history and treatment records were reviewed; DNA was analyzed by Next Generation Sequencing and multiplex ligation-dependent probe amplification for germline variants in BRCA1/2 Results: 69 pts were included, 61 (88,4%) with locally advanced and metastatic pancreatic cancer received first line chemotherapy and 38 (62%) were full eligible for BRCA analysis; 8 out of 69 pts were BRCA screened even if in adjuvant setting, 10 patients are still under evaluation. Out of the 38 first line screened PCP germline BRCA mutations were found in 9 (19%): 4 pts (8,7%) with pathogenetic BRCA-2 variants (subgroup 1 – S1) and 5 pts (10,8%) with variants of unknown significances (VUSs), i.e. c.5339T>C and c.5096G>A in BRCA1 (subgroup 2 – S2). Samples from 29 pts were established as BRCA wild-type (subgroup 3 – S3). Pathogenetic BRCA-2 variants were observed in 2 male and 2 female (median age, 61.5 years, range 48-69), 3 out 4 without family history of breast, ovarian and pancreatic cancer, one patient (pt) had ovarian cancer family history. All pts had a negative personal history of others cancers. All S1 pts received FOLFIRINOX regimen achieving one complete response, 2 partials responses and 1 disease progression with RECIST criteria. The S2 included 2 male and 3 female (median age, 61 years, range 45-70) 2 with family history of pancreatic cancer, no pt had personal history of others cancers; 2 pts had stable disease and 3 disease progression receiving platinum-based regimen (4 pts) and gemcitabine/nabpaclitaxel (1 pt), respectively. Platinum responders were observed only in the well known pathogenetic BRCA-2 variants group with twice a median progression-free survival (PFS, months -ms-) as compared to the one observed in VUSs group. (>6 C.I. 95% 2- >12 ms; vs 3 ms, 95% C.I. 3-12 ms). S3 included 9 male and 20 female, (median age, 66 years, range 42-78); 5 pts had family history of pancreatic or breast cancer, 5 pts had a personal history of other cancers (breast and thyroid). In this group,16 pts received a platinum based regimen and 12 pts have been treated without platinum based regimen. Conclusions: Our results suggest that: 1) BRCA pathogenetic mutations rate (8,7%) is in line with literature data and seems not to be related with family or personal history, and to be associated with a better outcome; 2) No BRCA mutations were detected in patients over 70 years. 3) VUSs subgroup do not seem to benefit from platinum-regimen.


2016 ◽  
Vol 26 (4) ◽  
pp. 806-813 ◽  
Author(s):  
Aimee L. Lucas ◽  
Adam Tarlecki ◽  
Kellie Van Beck ◽  
Casey Lipton ◽  
Arindam RoyChoudhury ◽  
...  

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Kodai Abe ◽  
Arisa Ueki ◽  
Yusaku Urakawa ◽  
Minoru Kitago ◽  
Tomoko Yoshihama ◽  
...  

Abstract Background Family history is one of the risk factors for pancreatic cancer. It is suggested that patients with pancreatic cancer who have a familial history harbor germline pathogenic variants of BRCA1 and/or BRCA2 (BRCA1/2), PALB2, or ATM. Recently, some germline variants of familial pancreatic cancers (FPCs), including PALB2, have been detected. Several countries, including Japan, perform screening workups and genetic analysis for pancreatic cancers. We have been carrying out active surveillance for FPC through epidemiological surveys, imaging analyses, and genetic analysis. Case presentation Here, we present the case of a female patient harboring pathogenic variants of PALB2 and NBN, with a family history of multiple pancreatic cancer in her younger brother, her aunt, and her father. Moreover, her father harbored a PALB2 pathogenic variant and her daughter harbored the same NBN pathogenic variant. Given the PALB2 and NBN variants, we designed surveillance strategies for the pancreas, breast, and ovary. Conclusions Further studies are required to develop strategies for managing FPCs to facilitate prompt diagnosis before their progression.


2021 ◽  
pp. canprevres.0161.2021
Author(s):  
Bryson W Katona ◽  
Jessica M Long ◽  
Nuzhat A Ahmad ◽  
Sara Attalla ◽  
Angela R Bradbury ◽  
...  

Diagnostics ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 169
Author(s):  
Matsubayashi ◽  
Kiyozumi ◽  
Ishiwatari ◽  
Uesaka ◽  
Kikuyama ◽  
...  

A family history of pancreatic cancer (PC) is a risk factor of PC, and risk levels increase as affected families grow in number and/or develop PC at younger ages. Familial pancreatic cancer (FPC) is defined as a client having at least two PC cases in a first degree relatives. In the narrow sense, FPC does not include some inherited cancer syndromes that are known to increase the risks of PC, such as Peutz–Jeghers syndrome (PJS), hereditary pancreatitis (HP), hereditary breast ovarian cancer syndrome (HBOC), and so on. FPC accounts for 5%–10% of total PC diagnoses and is marked by several features in genetic, epidemiological, and clinicopathological findings that are similar to or distinct from conventional PC. Recent advances in genetic medicine have led to an increased ability to identify germline variants of cancer-associated genes. To date, high-risk individuals (HRIs) in many developed countries, including FPC kindreds and inherited cancer syndromes, are screened clinically to detect and treat early-stage PC. This article highlights the concept of FPC and the most recent data on its detection.


BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Olivia Moran ◽  
Andrea Eisen ◽  
Rochelle Demsky ◽  
Kristina Blackmore ◽  
Julia A. Knight ◽  
...  

Abstract Background Mammographic density is one of the strongest risk factors for breast cancer. In the general population, mammographic density can be modified by various exposures; whether this is true for women a strong family history is not known. Thus, we evaluated the association between reproductive, hormonal, and lifestyle risk factors and mammographic density among women with a strong family history of breast cancer but no BRCA1 or BRCA2 mutation. Methods We included 97 premenopausal and 59 postmenopausal women (age range: 27-68 years). Risk factor data was extracted from the research questionnaire closest in time to the mammogram performed nearest to enrollment. The Cumulus software was used to measure percent density, dense area, and non-dense area for each mammogram. Multivariate generalized linear models were used to evaluate the relationships between breast cancer risk factors and measures of mammographic density, adjusting for relevant covariates. Results Among premenopausal women, those who had two live births had a mean percent density of 28.8% vs. 41.6% among women who had one live birth (P=0.04). Women with a high body weight had a lower mean percent density compared to women with a low body weight among premenopausal (17.6% vs. 33.2%; P=0.0006) and postmenopausal women (8.7% vs. 14.7%; P=0.04). Among premenopausal women, those who smoked for 14 years or longer had a lower mean dense area compared to women who smoked for a shorter duration (25.3cm2 vs. 53.1cm2; P=0.002). Among postmenopausal women, former smokers had a higher mean percent density (19.5% vs. 10.8%; P=0.003) and dense area (26.9% vs. 16.4%; P=0.01) compared to never smokers. After applying the Bonferroni correction, the association between body weight and percent density among premenopausal women remained statistically significant. Conclusions In this cohort of women with a strong family history of breast cancer, body weight was associated with mammographic density. These findings suggest that mammographic density may explain the underlying relationship between some of these risk factors and breast cancer risk, and lend support for the inclusion of mammographic density into risk prediction models.


Sign in / Sign up

Export Citation Format

Share Document