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Dive into the research topics where Lesley McGuffog is active.

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Featured researches published by Lesley McGuffog.


Nature Genetics | 2002

Low-penetrance susceptibility to breast cancer due to CHEK2*1100delC in noncarriers of BRCA1 or BRCA2 mutations

Hanne Meijers-Heijboer; Ans van den Ouweland; J.G.M. Klijn; Marijke Wasielewski; Anja de Snoo; Rogier A. Oldenburg; Antoinette Hollestelle; Mark M. J. Houben; Ellen Crepin; Monique van Veghel-Plandsoen; Fons Elstrodt; Cornelia van Duijn; C.C.M. Bartels; Carel Meijers; Mieke Schutte; Lesley McGuffog; Deborah Thompson; Douglas F. Easton; Nayanta Sodha; Sheila Seal; Rita Barfoot; Jon Mangion; Jenny Chang-Claude; Diana Eccles; Rosalind Eeles; D. Gareth Evans; Richard S. Houlston; Victoria Murday; Steven A. Narod; Tamara Peretz

Mutations in BRCA1 and BRCA2 confer a high risk of breast and ovarian cancer, but account for only a small fraction of breast cancer susceptibility. To find additional genes conferring susceptibility to breast cancer, we analyzed CHEK2 (also known as CHK2), which encodes a cell-cycle checkpoint kinase that is implicated in DNA repair processes involving BRCA1 and p53 (refs 3,4,5). We show that CHEK2*1100delC, a truncating variant that abrogates the kinase activity, has a frequency of 1.1% in healthy individuals. However, this variant is present in 5.1% of individuals with breast cancer from 718 families that do not carry mutations in BRCA1 or BRCA2 (P = 0.00000003), including 13.5% of individuals from families with male breast cancer (P = 0.00015). We estimate that the CHEK2*1100delC variant results in an approximately twofold increase of breast cancer risk in women and a tenfold increase of risk in men. By contrast, the variant confers no increased cancer risk in carriers of BRCA1 or BRCA2 mutations. This suggests that the biological mechanisms underlying the elevated risk of breast cancer in CHEK2 mutation carriers are already subverted in carriers of BRCA1 or BRCA2 mutations, which is consistent with participation of the encoded proteins in the same pathway.Mutations in BRCA1 and BRCA2 confer a high risk of breast and ovarian cancer1, but account for only a small fraction of breast cancer susceptibility1,2. To find additional genes conferring susceptibility to breast cancer, we analyzed CHEK2 (also known as CHK2), which encodes a cell-cycle checkpoint kinase that is implicated in DNA repair processes involving BRCA1 and p53 (refs 3,4,5). We show that CHEK2*1100delC, a truncating variant that abrogates the kinase activity6, has a frequency of 1.1% in healthy individuals. However, this variant is present in 5.1% of individuals with breast cancer from 718 families that do not carry mutations in BRCA1 or BRCA2 (P = 0.00000003), including 13.5% of individuals from families with male breast cancer (P = 0.00015). We estimate that the CHEK2*1100delC variant results in an approximately twofold increase of breast cancer risk in women and a tenfold increase of risk in men. By contrast, the variant confers no increased cancer risk in carriers of BRCA1 or BRCA2 mutations. This suggests that the biological mechanisms underlying the elevated risk of breast cancer in CHEK2 mutation carriers are already subverted in carriers of BRCA1 or BRCA2 mutations, which is consistent with participation of the encoded proteins in the same pathway.


Nature Genetics | 2007

PALB2, which encodes a BRCA2-interacting protein, is a breast cancer susceptibility gene

Nazneen Rahman; Sheila Seal; Deborah Thompson; Patrick Kelly; Anthony Renwick; Anna Elliott; Sarah Reid; Katarina Spanova; Rita Barfoot; Tasnim Chagtai; Hiran Jayatilake; Lesley McGuffog; Sandra Hanks; D. Gareth Evans; Diana Eccles; Douglas F. Easton; Michael R. Stratton

PALB2 interacts with BRCA2, and biallelic mutations in PALB2 (also known as FANCN), similar to biallelic BRCA2 mutations, cause Fanconi anemia. We identified monoallelic truncating PALB2 mutations in 10/923 individuals with familial breast cancer compared with 0/1,084 controls (P = 0.0004) and show that such mutations confer a 2.3-fold higher risk of breast cancer (95% confidence interval (c.i.) = 1.4–3.9, P = 0.0025). The results show that PALB2 is a breast cancer susceptibility gene and further demonstrate the close relationship of the Fanconi anemia–DNA repair pathway and breast cancer predisposition.


Journal of Clinical Oncology | 2002

The Pathology of Familial Breast Cancer: Predictive Value of Immunohistochemical Markers Estrogen Receptor, Progesterone Receptor, HER-2, and p53 in Patients With Mutations in BRCA1 and BRCA2

Sunil R. Lakhani; Marc J. van de Vijver; Jocelyne Jacquemier; T. J. Anderson; Peter Osin; Lesley McGuffog; Douglas F. Easton

PURPOSE The morphologic and molecular phenotype of breast cancers may help identify patients who are likely to carry germline mutations in BRCA1 and BRCA2. This study evaluates the immunohistochemical profiles of tumors arising in patients with mutations in these genes. MATERIALS AND METHODS Samples of breast cancers obtained from the International Breast Cancer Linkage Consortium were characterized morphologically and immunohistochemically using antibodies to estrogen receptor, progesterone receptor, HER-2 (c-erbB-2 oncogene), and p53 protein. RESULTS Breast cancers in patients with BRCA1 germline mutations are more often negative for estrogen receptor, progesterone receptor, and HER-2, and are more likely to be positive for p53 protein compared with controls. In contrast, BRCA2 tumors do not show a significant difference in the expression of any of these proteins compared with controls. CONCLUSION BRCA1 has a distinctive morphology and immunohistochemical phenotype. The combined morphologic and immunohistochemical data can be used to predict the risk of a young patient harboring a germline mutation in BRCA1. The BRCA2 phenotype is currently not well defined.


Nature Genetics | 2006

Truncating mutations in the Fanconi anemia J gene BRIP1 are low-penetrance breast cancer susceptibility alleles

Sheila Seal; Deborah Thompson; Anthony Renwick; Anna Elliott; Patrick Kelly; Rita Barfoot; Tasnim Chagtai; Hiran Jayatilake; Munaza Ahmed; Katarina Spanova; Bernard North; Lesley McGuffog; D. Gareth Evans; Diana Eccles; Douglas F. Easton; Michael R. Stratton; Nazneen Rahman

We identified constitutional truncating mutations of the BRCA1-interacting helicase BRIP1 in 9/1,212 individuals with breast cancer from BRCA1/BRCA2 mutation–negative families but in only 2/2,081 controls (P = 0.0030), and we estimate that BRIP1 mutations confer a relative risk of breast cancer of 2.0 (95% confidence interval = 1.2–3.2, P = 0.012). Biallelic BRIP1 mutations were recently shown to cause Fanconi anemia complementation group J. Thus, inactivating truncating mutations of BRIP1, similar to those in BRCA2, cause Fanconi anemia in biallelic carriers and confer susceptibility to breast cancer in monoallelic carriers.


Nature Genetics | 2006

ATM mutations that cause ataxia-telangiectasia are breast cancer susceptibility alleles

Anthony Renwick; Deborah Thompson; Sheila Seal; Patrick Kelly; Tasnim Chagtai; Munaza Ahmed; Bernard North; Hiran Jayatilake; Rita Barfoot; Katarina Spanova; Lesley McGuffog; D. Gareth Evans; Diana Eccles; Douglas F. Easton; Michael R. Stratton; Nazneen Rahman

We screened individuals from 443 familial breast cancer pedigrees and 521 controls for ATM sequence variants and identified 12 mutations in affected individuals and two in controls (P = 0.0047). The results demonstrate that ATM mutations that cause ataxia-telangiectasia in biallelic carriers are breast cancer susceptibility alleles in monoallelic carriers, with an estimated relative risk of 2.37 (95% confidence interval (c.i.) = 1.51–3.78, P = 0.0003). There was no evidence that other classes of ATM variant confer a risk of breast cancer.


JAMA | 2012

Association between BRCA1 and BRCA2 mutations and survival in women with invasive epithelial ovarian cancer

Kelly L. Bolton; Georgia Chenevix-Trench; Cindy Goh; Siegal Sadetzki; Susan J. Ramus; Beth Y. Karlan; Diether Lambrechts; Evelyn Despierre; Daniel Barrowdale; Lesley McGuffog; Sue Healey; Douglas F. Easton; Olga M. Sinilnikova; Javier Benitez; María J. García; Susan L. Neuhausen; Mitchell H. Gail; Patricia Hartge; Susan Peock; Debra Frost; D. Gareth Evans; Rosalind Eeles; Andrew K. Godwin; Mary B. Daly; Ava Kwong; Edmond S K Ma; Conxi Lázaro; Ignacio Blanco; Marco Montagna; Emma D'Andrea

CONTEXT Approximately 10% of women with invasive epithelial ovarian cancer (EOC) carry deleterious germline mutations in BRCA1 or BRCA2. A recent article suggested that BRCA2-related EOC was associated with an improved prognosis, but the effect of BRCA1 remains unclear. OBJECTIVE To characterize the survival of BRCA carriers with EOC compared with noncarriers and to determine whether BRCA1 and BRCA2 carriers show similar survival patterns. DESIGN, SETTING, AND PARTICIPANTS A pooled analysis of 26 observational studies on the survival of women with ovarian cancer, which included data from 1213 EOC cases with pathogenic germline mutations in BRCA1 (n = 909) or BRCA2 (n = 304) and from 2666 noncarriers recruited and followed up at variable times between 1987 and 2010 (the median year of diagnosis was 1998). MAIN OUTCOME MEASURE Five-year overall mortality. RESULTS The 5-year overall survival was 36% (95% CI, 34%-38%) for noncarriers, 44% (95% CI, 40%-48%) for BRCA1 carriers, and 52% (95% CI, 46%-58%) for BRCA2 carriers. After adjusting for study and year of diagnosis, BRCA1 and BRCA2 mutation carriers showed a more favorable survival than noncarriers (for BRCA1: hazard ratio [HR], 0.78; 95% CI, 0.68-0.89; P < .001; and for BRCA2: HR, 0.61; 95% CI, 0.50-0.76; P < .001). These survival differences remained after additional adjustment for stage, grade, histology, and age at diagnosis (for BRCA1: HR, 0.73; 95% CI, 0.64-0.84; P < .001; and for BRCA2: HR, 0.49; 95% CI, 0.39-0.61; P < .001). The BRCA1 HR estimate was significantly different from the HR estimated in the adjusted model (P for heterogeneity = .003). CONCLUSION Among patients with invasive EOC, having a germline mutation in BRCA1 or BRCA2 was associated with improved 5-year overall survival. BRCA2 carriers had the best prognosis.


Clinical Cancer Research | 2004

Pathology of Ovarian Cancers in BRCA1 and BRCA2 Carriers

Sunil R. Lakhani; Sanjiv Manek; Frédérique Penault-Llorca; Adrienne M. Flanagan; Laurent Arnout; Samantha Merrett; Lesley McGuffog; Dawn Steele; Peter Devilee; J.G.M. Klijn; Hanne Meijers-Heijboer; Paolo Radice; Silvana Pilotti; Heli Nevanlinna; Ralf Bützow; Hagay Sobol; Jocylyne Jacquemier; Dominique Stoppa Lyonet; Susan L. Neuhausen; Barbara L. Weber; Teresa Wagner; Robert Winqvist; Yves-Jean Bignon; Franco Monti; Fernando Schmitt; Gilbert M. Lenoir; Susanne Seitz; Ute Hamman; Paul Pharoah; Geoff Lane

Purpose: Germline mutations in the BRCA1 and BRCA2 genes confer increased susceptibility to ovarian cancer. There is evidence that tumors in carriers may exhibit a distinct distribution of pathological features, but previous studies on the pathology of such tumors have been small. Our aim was to evaluate the morphologies and immunophenotypes in a large cohort of patients with familial ovarian cancer. Experimental Design: We performed a systematic review of ovarian tumors from 178 BRCA1 mutation carriers, 29 BRCA2 mutation carriers, and 235 controls with a similar age distribution. Tumors were evaluated by four pathologists blinded to mutation status. Both morphological features and immunochemical staining for p53 and HER2 were evaluated. Results: Tumors in BRCA1 mutation carriers were more likely than tumors in age-matched controls to be invasive serous adenocarcinomas (odds ratio, 1.84; 95% confidence interval, 1.21–2.79) and unlikely to be borderline or mucinous tumors. Tumors in BRCA1 carriers were of higher grade (P < 0.0001), had a higher percentage solid component (P = 0.001), and were more likely to stain strongly for p53 (P = 0.018). The distribution of pathological features in BRCA2 carriers was similar to that in BRCA1 carriers. Conclusions: Use of pathological features can substantially improve the targeting of predictive genetic testing. Results also suggest that BRCA1 and BRCA2 tumors are relatively aggressive and may be expected to have poor prognosis, although this may be treatment dependent.


JAMA | 2017

Risks of breast, ovarian, and contralateral breast cancer for BRCA1 and BRCA2 mutation carriers

Karoline B. Kuchenbaecker; John L. Hopper; Daniel R. Barnes; Kelly-Anne Phillips; T.M. Mooij; Marie-José Roos-Blom; Sarah Jervis; Flora E. van Leeuwen; Roger L. Milne; Nadine Andrieu; David E. Goldgar; Mary Beth Terry; Matti A. Rookus; Douglas F. Easton; Antonis C. Antoniou; Lesley McGuffog; D. Gareth Evans; Daniel Barrowdale; Debra Frost; Julian Adlard; Kai-Ren Ong; Louise Izatt; Marc Tischkowitz; Ros Eeles; Rosemarie Davidson; Shirley Hodgson; Steve Ellis; Catherine Noguès; Christine Lasset; Dominique Stoppa-Lyonnet

Importance The clinical management of BRCA1 and BRCA2 mutation carriers requires accurate, prospective cancer risk estimates. Objectives To estimate age-specific risks of breast, ovarian, and contralateral breast cancer for mutation carriers and to evaluate risk modification by family cancer history and mutation location. Design, Setting, and Participants Prospective cohort study of 6036 BRCA1 and 3820 BRCA2 female carriers (5046 unaffected and 4810 with breast or ovarian cancer or both at baseline) recruited in 1997-2011 through the International BRCA1/2 Carrier Cohort Study, the Breast Cancer Family Registry and the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer, with ascertainment through family clinics (94%) and population-based studies (6%). The majority were from large national studies in the United Kingdom (EMBRACE), the Netherlands (HEBON), and France (GENEPSO). Follow-up ended December 2013; median follow-up was 5 years. Exposures BRCA1/2 mutations, family cancer history, and mutation location. Main Outcomes and Measures Annual incidences, standardized incidence ratios, and cumulative risks of breast, ovarian, and contralateral breast cancer. Results Among 3886 women (median age, 38 years; interquartile range [IQR], 30-46 years) eligible for the breast cancer analysis, 5066 women (median age, 38 years; IQR, 31-47 years) eligible for the ovarian cancer analysis, and 2213 women (median age, 47 years; IQR, 40-55 years) eligible for the contralateral breast cancer analysis, 426 were diagnosed with breast cancer, 109 with ovarian cancer, and 245 with contralateral breast cancer during follow-up. The cumulative breast cancer risk to age 80 years was 72% (95% CI, 65%-79%) for BRCA1 and 69% (95% CI, 61%-77%) for BRCA2 carriers. Breast cancer incidences increased rapidly in early adulthood until ages 30 to 40 years for BRCA1 and until ages 40 to 50 years for BRCA2 carriers, then remained at a similar, constant incidence (20-30 per 1000 person-years) until age 80 years. The cumulative ovarian cancer risk to age 80 years was 44% (95% CI, 36%-53%) for BRCA1 and 17% (95% CI, 11%-25%) for BRCA2 carriers. For contralateral breast cancer, the cumulative risk 20 years after breast cancer diagnosis was 40% (95% CI, 35%-45%) for BRCA1 and 26% (95% CI, 20%-33%) for BRCA2 carriers (hazard ratio [HR] for comparing BRCA2 vs BRCA1, 0.62; 95% CI, 0.47-0.82; P=.001 for difference). Breast cancer risk increased with increasing number of first- and second-degree relatives diagnosed as having breast cancer for both BRCA1 (HR for ≥2 vs 0 affected relatives, 1.99; 95% CI, 1.41-2.82; P<.001 for trend) and BRCA2 carriers (HR, 1.91; 95% CI, 1.08-3.37; P=.02 for trend). Breast cancer risk was higher if mutations were located outside vs within the regions bounded by positions c.2282-c.4071 in BRCA1 (HR, 1.46; 95% CI, 1.11-1.93; P=.007) and c.2831-c.6401 in BRCA2 (HR, 1.93; 95% CI, 1.36-2.74; P<.001). Conclusions and Relevance These findings provide estimates of cancer risk based on BRCA1 and BRCA2 mutation carrier status using prospective data collection and demonstrate the potential importance of family history and mutation location in risk assessment.


Genes, Chromosomes and Cancer | 2006

A genome wide linkage search for breast cancer susceptibility genes.

Paula Smith; Lesley McGuffog; Douglas F. Easton; Graham J. Mann; Gulietta M. Pupo; Beth Newman; Georgia Chenevix-Trench; Csilla Szabo; Melissa C. Southey; Helene Renard; Fabrice Odefrey; Henry T. Lynch; Dominique Stoppa-Lyonnet; Fergus J. Couch; John L. Hopper; Graham G. Giles; Margaret McCredie; Saundra S. Buys; Irene L. Andrulis; Ruby T. Senie; David E. Goldgar; Rogier A. Oldenburg; Karin Kroeze-Jansema; Jaennelle Kraan; Hanne Meijers-Heijboer; J.G.M. Klijn; Christi J. van Asperen; Inge van Leeuwen; Hans F. A. Vasen; Cees J. Cornelisse

Mutations in known breast cancer susceptibility genes account for a minority of the familial aggregation of the disease. To search for further breast cancer susceptibility genes, we performed a combined analysis of four genome‐wide linkage screens, which included a total of 149 multiple case breast cancer families. All families included at least three cases of breast cancer diagnosed below age 60 years, at least one of whom had been tested and found not to carry a BRCA1 or BRCA2 mutation. Evidence for linkage was assessed using parametric linkage analysis, assuming both a dominant and a recessive mode of inheritance, and using nonparametric methods. The highest LOD score obtained in any analysis of the combined data was 1.80 under the dominant model, in a region on chromosome 4 close to marker D4S392. Three further LOD scores over 1 were identified in the parametric analyses and two in the nonparametric analyses. A maximum LOD score of 2.40 was found on chromosome arm 2p in families with four or more cases of breast cancer diagnosed below age 50 years. The number of linkage peaks did not differ from the number expected by chance. These results suggest regions that may harbor novel breast cancer susceptibility genes. They also indicate that no single gene is likely to account for a large fraction of the familial aggregation of breast cancer that is not due to mutations in BRCA1 or BRCA2.


Genetic Epidemiology | 2011

A risk prediction algorithm based on family history and common genetic variants: application to prostate cancer with potential clinical impact.

Robert J. MacInnis; Antonis C. Antoniou; Rosalind Eeles; Gianluca Severi; Ali Amin Al Olama; Lesley McGuffog; Zsofia Kote-Jarai; Michelle Guy; Lynne T. O'Brien; Amanda L. Hall; Rosemary A. Wilkinson; Emma J. Sawyer; Audrey Ardern-Jones; David P. Dearnaley; A. Horwich; Vincent Khoo; Chris Parker; Robert Huddart; Nicholas Van As; Margaret McCredie; Dallas R. English; Graham G. Giles; John L. Hopper; Douglas F. Easton

Genome wide association studies have identified several single nucleotide polymorphisms (SNPs) that are independently associated with small increments in risk of prostate cancer, opening up the possibility for using such variants in risk prediction. Using segregation analysis of population‐based samples of 4,390 families of prostate cancer patients from the UK and Australia, and assuming all familial aggregation has genetic causes, we previously found that the best model for the genetic susceptibility to prostate cancer was a mixed model of inheritance that included both a recessive major gene component and a polygenic component (P) that represents the effect of a large number of genetic variants each of small effect, where . Based on published studies of 26 SNPs that are currently known to be associated with prostate cancer, we have extended our model to incorporate these SNPs by decomposing the polygenic component into two parts: a polygenic component due to the known susceptibility SNPs, , and the residual polygenic component due to the postulated but as yet unknown genetic variants, . The resulting algorithm can be used for predicting the probability of developing prostate cancer in the future based on both SNP profiles and explicit family history information. This approach can be applied to other diseases for which population‐based family data and established risk variants exist. Genet. Epidemiol. 2011.

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Dive into the Lesley McGuffog's collaboration.

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Debra Frost

University of Cambridge

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Diana Eccles

University of Southampton

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Susan Peock

University of Cambridge

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Amanda B. Spurdle

QIMR Berghofer Medical Research Institute

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Georgia Chenevix-Trench

QIMR Berghofer Medical Research Institute

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Rosalind Eeles

Institute of Cancer Research

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Sheila Seal

Institute of Cancer Research

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