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Featured researches published by Kelly D. Gonzalez.


Journal of Clinical Oncology | 2008

Beyond Li Fraumeni Syndrome: Clinical Characteristics of Families With p53 Germline Mutations

Kelly D. Gonzalez; Katie Noltner; Carolyn H. Buzin; Dongqing Gu; Cindy Y. Wen-Fong; Vu Q. Nguyen; Jennifer H. Han; Katrina Lowstuter; Jeffrey Longmate; Steve S. Sommer; Jeffrey N. Weitzel

PURPOSE A clinical testing cohort was used to gain a broader understanding of the spectrum of tumors associated with germline p53 mutations to aid clinicians in identifying high-risk families. PATIENTS AND METHODS Full sequencing of the coding exons (2 to 11) and associated splice junctions of the p53 gene was performed on 525 consecutive patients whose blood samples were submitted for diagnostic testing. Clinical features of p53 germline carriers in this cohort were characterized, clinical referral schemes based on reported p53-associated family phenotypes were evaluated, and practical mutation prevalence tables were generated. RESULTS Mutations were identified in 91 (17%) of 525 patients submitted for testing. All families with a p53 mutation had at least one family member with a sarcoma, breast, brain, or adrenocortical carcinoma (ACC). Every individual with a choroid plexus tumor (eight of eight) and 14 of 21 individuals with a childhood ACC had a mutation regardless of family history. Based on reported personal and family history, 95% of patients (71 of 75) with a mutation met either classic Li Fraumeni syndrome (LFS) or Chompret criteria. A simplified prevalence table provides a concise summary of individual and family characteristics associated with p53 mutations. CONCLUSION This is, to our knowledge, the largest single report of diagnostic testing for germline p53 mutations, yielding practical mutation prevalence tables and suggesting clinical utility of classic LFS and Chompret criteria for identifying a subset of cancer-prone families with p53 germline mutations, with important implications for diagnosis and management.


Journal of Medical Genetics | 2009

High frequency of de novo mutations in Li-Fraumeni syndrome

Kelly D. Gonzalez; Carolyn H. Buzin; Katie Noltner; Dongqing Gu; Wenyan Li; David Malkin; Steve S. Sommer

Background: Li–Fraumeni syndrome is an autosomal dominant cancer predisposition syndrome caused by germline mutations in the TP53 gene. The frequency of germline de novo TP53 mutations is largely unknown; few unequivocal de novo mutations have been reported. Methods and results: Of 341 patients with early onset cancer sent for clinical testing to a national reference laboratory, 75 patients had TP53 germline mutations. Five (7%) de novo mutations were identified, as well as an additional 10 TP53 germline mutations likely to be de novo by family history. The frequency of de novo TP53 mutations in this patient sample is at least 7% and may be as high as 20%. Conclusions: The possibility that de novo germline TP53 mutations are relatively common has implications for testing and the identification of potential Li–Fraumeni syndrome in patients with little or no family history of cancer.


Proceedings of the National Academy of Sciences of the United States of America | 2007

Evidence for mutation showers

Jicheng Wang; Kelly D. Gonzalez; William A. Scaringe; Kimberly Tsai; Ning Liu; Dongqing Gu; Wenyan Li; Kathleen A. Hill; Steve S. Sommer

Mutants in the Big Blue transgenic mouse system show spontaneous clustered multiple mutations with unexpectedly high frequency, consistent with chronocoordinate events. We tested the prediction that the multiple mutations seen within the lacI mutation target sometimes occur in the context of chronocoordinate multiple mutations spanning multiple kilobases (mutation showers). Additional sequencing of mutants was performed in regions immediately flanking the lacI region (total of 10.7 kb). Nineteen additional mutations were found outside the lacI region (“ectomutations”) from 10 mutants containing two or more lacI mutations, whereas only one ectomutation was found in 130 mutants with a single mutation (P < 0.0001). The mutation showers had an average of approximately one mutation per 3 kb. Four mutants showed closely spaced double mutations in the new sequence, and analysis of the spacing between these mutations revealed significant clustering (P = 0.0098). To determine the extent of the mutation showers, regions (8.5 kb total) remote from the lacI region (≈16–17 kb away) were sequenced. Only two additional ectomutations were found in these remote regions, consistent with mutation showers that generally do not extend more than ≈30 kb. We conclude that mutation showers exist and that they constitute at least 0.2% and possibly 1% or more of mutational events observed in this system. The existence of mutation showers has implications for oncogenesis and evolution, raising the possibilities of “cancer in an instant” and “introns as sponges to reduce the deleterious impact of mutation showers.”


Current protocols in human genetics | 2008

p53 Testing for Li‐Fraumeni and Li‐Fraumeni‐Like Syndromes

Kelly D. Gonzalez; Cindy Fong; Carolyn H. Buzin; Steve S. Sommer; Juan-Sebastian Saldivar

Li‐Fraumeni Syndrome (LFS; OMIM #151623) is an autosomal dominant cancer predisposition syndrome characterized by early onset tumors including sarcomas, breast cancer, leukemia, brain tumors, and adrenocortical carcinoma. Li‐Fraumeni syndrome is primarily attributed to germline mutations in the p53 tumor suppressor gene, which encodes tumor protein 53. In addition to germline p53 mutations, the p53 gene is the most commonly mutated gene in human cancers, with as much as 50% of tumors containing somatic p53 mutations. This unit provides a protocol to perform germline mutation analysis of the p53 gene. The protocol includes steps for amplification and sequencing of the entire coding region of the p53 gene (exons 2 to 11). The protocol was designed for detecting germline alterations from DNA extracted from blood; however, with some additional optimization, it could also be used to detect somatic mutations in DNA extracted from tumors. Curr. Protoc. Hum. Genet. 57:10.10.1‐10.10.11.


Human Mutation | 2007

Database of Somatic Mutations in EGFR With Analyses Revealing Indel Hotspots But No Smoking- Associated Signature

Dongqing Gu; William A. Scaringe; Kai Li; Juan-Sebastian Saldivar; Kathleen A. Hill; Zhenbin Chen; Kelly D. Gonzalez; Steve S. Sommer


Journal of Genetic Counseling | 2006

If We Build It … Will They Come? – Establishing a Cancer Genetics Services Clinic for an Underserved Predominantly Latina Cohort

Charite Ricker; Veronica I. Lagos; Nancy Feldman; Susan Hiyama; Sue Fuentes; Visanth Kumar; Kelly D. Gonzalez; Melanie R. Palomares; Kathleen R. Blazer; Katrina Lowstuter; Deborah J. MacDonald; Jeffrey N. Weitzel


Environmental and Molecular Mutagenesis | 2005

Tissue‐specific time courses of spontaneous mutation frequency and deviations in mutation pattern are observed in middle to late adulthood in Big Blue mice

Kathleen A. Hill; Asanga Halangoda; Petra W. Heinmoeller; Kelly D. Gonzalez; Chaniga Chitaphan; Jeffrey Longmate; William A. Scaringe; Ji-Cheng Wang; Steve S. Sommer


Human Mutation | 2007

Somatic microindels: analysis in mouse soma and comparison with the human germline†‡

Kelly D. Gonzalez; Kathleen A. Hill; Kai Li; Wenyan Li; William A. Scaringe; Ji-Cheng Wang; Dongqing Gu; Steve S. Sommer


Human Molecular Genetics | 2008

Somatic microindels in human cancer: the insertions are highly error-prone and derive from nearby but not adjacent sense and antisense templates

William A. Scaringe; Kai Li; Dongqing Gu; Kelly D. Gonzalez; Zhenbin Chen; Kathleen A. Hill; Steve S. Sommer


Human Mutation | 2006

Preferential occurrence of 1-2 microindels.

Kathleen A. Hill; Kelly D. Gonzalez; William A. Scaringe; Ji-Cheng Wang; Steve S. Sommer

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Steve S. Sommer

City of Hope National Medical Center

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William A. Scaringe

City of Hope National Medical Center

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Dongqing Gu

City of Hope National Medical Center

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Kathleen A. Hill

City of Hope National Medical Center

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Carolyn H. Buzin

City of Hope National Medical Center

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Ji-Cheng Wang

City of Hope National Medical Center

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Wenyan Li

City of Hope National Medical Center

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Jeffrey N. Weitzel

City of Hope National Medical Center

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Kai Li

City of Hope National Medical Center

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Jeffrey Longmate

City of Hope National Medical Center

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