Clara Bodelon

Dr. Clara Bodelon

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 June 2016 in International Journal of Cancer
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Journal Article
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CBClara Bodelon
Clara Bodelon
MUMichael E. Untereiner
Michael E. Untereiner
MMMitchell J. Machiela
Mitchell J. Machiela
SVSvetlana Vinokurova
Svetlana Vinokurova
NWNicolas Wentzensen
Nicolas Wentzensen
Persistent infection with carcinogenic human papillomaviruses (HPV) causes the majority of anogenital cancers and a subset of head and neck cancers. The HPV genome is frequently found integrated into the host genome of invasive cancers. The mechanisms of how it may promote disease progression are not well understood. Thoroughly characterizing integration events can provide insights into HPV carcinogenesis. Individual studies have reported limited number of integration sites in cell lines and human samples. We performed a systematic review of published integration sites in HPV‐related cancers and conducted a pooled analysis to formally test for integration hotspots and genomic features enriched in integration events using data from the Encyclopedia of DNA Elements (ENCODE). Over 1,500 integration sites were reported in the literature, of which 90.8% (N = 1,407) were in human tissues. We found 10 cytobands enriched for integration events, three previously reported ones (3q28, 8q24.21 and 13q22.1) and seven additional ones (2q22.3, 3p14.2, 8q24.22, 14q24.1, 17p11.1, 17q23.1 and 17q23.2). Cervical infections with HPV18 were more likely to have breakpoints in 8q24.21 (p = 7.68 × 10−4) than those with HPV16. Overall, integration sites were more likely to be in gene regions than expected by chance (p = 6.93 × 10−9). They were also significantly closer to CpG regions, fragile sites, transcriptionally active regions and enhancers. Few integration events occurred within 50 Kb of known cervical cancer driver genes. This suggests that HPV integrates in accessible regions of the genome, preferentially genes and enhancers, which may affect the expression of target genes.

27 November 2023 in Nature Medicine
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MAMohamed Amgad
Mohamed Amgad
JHJames M. Hodge
James M. Hodge
MEMaha A. T. Elsebaie
Maha A. T. Elsebaie
CBClara Bodelon
Clara Bodelon
SPSamantha Puvanesarajah
Samantha Puvanesarajah
LCLee A. D. Cooper
Lee A. D. Cooper

22 April 2021 in Science
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MYMeredith Yeager
Meredith Yeager
MMMitchell J. Machiela
Mitchell J. Machiela
PKPrachi Kothiyal
Prachi Kothiyal
Michael DeanMichael Dean
Michael Dean
CBClara Bodelon
Clara Bodelon
SCStephen J. Chanock
Stephen J. Chanock
Genomics of radiation-induced damage: The potential adverse effects of exposures to radioactivity from nuclear accidents can include acute consequences such as radiation sickness, as well as long-term sequelae such as increased risk of cancer. There have been a few studies examining transgenerational risks of radiation exposure but the results have been inconclusive. Morton et al. analyzed papillary thyroid tumors, normal thyroid tissue, and blood from hundreds of survivors of the Chernobyl nuclear accident and compared them against those of unexposed patients. The findings offer insight into the process of radiation-induced carcinogenesis and characteristic patterns of DNA damage associated with environmental radiation exposure. In a separate study, Yeager et al. analyzed the genomes of 130 children and parents from families in which one or both parents had experienced gonadal radiation exposure related to the Chernobyl accident and the children were conceived between 1987 and 2002. Reassuringly, the authors did not find an increase in new germline mutations in this population. Science , this issue p. eabg2538 , p. 725

17 June 2020 in Clinical Cancer Research
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ATAline Talhouk
Aline Talhouk
Joshy GeorgeJoshy George
Joshy George
CWChen Wang
Chen Wang
TBTimothy Budden
Timothy Budden
TTTuan Zea Tan
Tuan Zea Tan
MAMichael S. Anglesio
Michael S. Anglesio
Purpose: Gene expression–based molecular subtypes of high-grade serous tubo-ovarian cancer (HGSOC), demonstrated across multiple studies, may provide improved stratification for molecularly targeted trials. However, evaluation of clinical utility has been hindered by nonstandardized methods, which are not applicable in a clinical setting. We sought to generate a clinical grade minimal gene set assay for classification of individual tumor specimens into HGSOC subtypes and confirm previously reported subtype-associated features. Experimental Design: Adopting two independent approaches, we derived and internally validated algorithms for subtype prediction using published gene expression data from 1,650 tumors. We applied resulting models to NanoString data on 3,829 HGSOCs from the Ovarian Tumor Tissue Analysis consortium. We further developed, confirmed, and validated a reduced, minimal gene set predictor, with methods suitable for a single-patient setting. Results: Gene expression data were used to derive the predictor of high-grade serous ovarian carcinoma molecular subtype (PrOTYPE) assay. We established a de facto standard as a consensus of two parallel approaches. PrOTYPE subtypes are significantly associated with age, stage, residual disease, tumor-infiltrating lymphocytes, and outcome. The locked-down clinical grade PrOTYPE test includes a model with 55 genes that predicted gene expression subtype with >95% accuracy that was maintained in all analytic and biological validations. Conclusions: We validated the PrOTYPE assay following the Institute of Medicine guidelines for the development of omics-based tests. This fully defined and locked-down clinical grade assay will enable trial design with molecular subtype stratification and allow for objective assessment of the predictive value of HGSOC molecular subtypes in precision medicine applications. See related commentary by McMullen et al., p. 5271

8 May 2024 in JNCI: Journal of the National Cancer Institute
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JVJacqueline B Vo
Jacqueline B Vo
CRCody Ramin
Cody Ramin
LVLene H S Veiga
Lene H S Veiga
CBCarolyn Brandt
Carolyn Brandt
RCRochelle E Curtis
Rochelle E Curtis
AGAmy Berrington de González
Amy Berrington de González
Although breast cancer survivors are at risk for cardiovascular disease (CVD) from treatment late effects, evidence to inform long-term and age-specific cardiovascular surveillance recommendations is lacking. We conducted a retrospective cohort study of 10 211 women diagnosed with first primary unilateral breast cancer in Kaiser Permanente Washington or Colorado (aged 20 years and older, survived ≥1 year). We estimated multivariable adjusted hazard ratios (HRs) for associations between initial chemotherapy regimen type (anthracycline and/or trastuzumab, other chemotherapies, no chemotherapy [referent]) and CVD risk, adjusted for patient characteristics, other treatments, and CVD risk factors. Cumulative incidence was calculated considering competing events. After 5.79 median years, 14.67% of women developed CVD (cardiomyopathy and/or heart failure [HF], ischemic heart disease, stroke). Women treated with anthracyclines and/or trastuzumab had a higher risk of CVD compared with no chemotherapy (adjusted HR = 1.53, 95% confidence interval [CI] = 1.31 to 1.79), persisting at least 5 years postdiagnosis (adjusted HR5-<10 years = 1.85, 95% CI = 1.44 to 2.39; adjusted HR≥10 years = 1.83, 95% CI = 1.34 to 2.49). Cardiomyopathy and/or HF risks were elevated among women treated with anthracyclines and/or trastuzumab compared with no chemotherapy, especially for those aged younger than 65 years (adjusted HR20-54years = 2.97, 95% CI = 1.72 to 5.12; adjusted HR55-64years = 2.21, 95% CI = 1.52 to 3.21), differing for older women (adjusted HR≥65 years = 1.32, 95% CI = 0.97 to 1.78), and at least 5 years postdiagnosis (adjusted HR5-<10years = 1.89, 95% CI = 1.35 to 2.64; adjusted HR≥10 years = 2.21, 95% CI = 1.52 to 3.20). Anthracyclines and/or trastuzumab receipt was associated with increased ischemic heart disease risks after 5 or more years (adjusted HR5-<10years = 1.51, 95% CI = 1.06 to 2.14; adjusted HR≥10 years = 1.86, 95% CI = 1.18 to 2.93) with no clear age effects, and stroke risk (adjusted HR = 1.33, 95% CI = 1.05 to 1.69), which did not vary by time or age. There was some evidence of long-term cardiomyopathy and/or HF and ischemic heart disease risks with other chemotherapies. Among women aged younger than 65 treated with anthracyclines and/or trastuzumab, up to 16% developed CVD by 10 years (20-54 years = 6.91%; 55-64 years = 16.00%), driven by cardiomyopathy and/or HF (20-54 years = 3.90%; 55-64 years = 9.78%). We found increased long-term risks of cardiomyopathy and/or HF and ischemic heart disease among breast cancer survivors treated with anthracyclines and/or trastuzumab and increased cardiomyopathy and/or HF risk among women aged younger than 65 years.

1 October 2019 in Clinical Cancer Research
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Journal Article
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CBClara Bodelon
Clara Bodelon
JKJ. Keith Killian
J. Keith Killian
JSJoshua N. Sampson
Joshua N. Sampson
WAWilliam F. Anderson
William F. Anderson
RMRayna Matsuno
Rayna Matsuno
NWNicolas Wentzensen
Nicolas Wentzensen
Purpose: Ovarian cancer is a heterogeneous disease that can be divided into multiple subtypes with variable etiology, pathogenesis, and prognosis. We analyzed DNA methylation profiling data to identify biologic subgroups of ovarian cancer and study their relationship with histologic subtypes, copy number variation, RNA expression data, and outcomes. Experimental Design: A total of 162 paraffin-embedded ovarian epithelial tumor tissues, including the five major epithelial ovarian tumor subtypes (high- and low-grade serous, endometrioid, mucinous, and clear cell) and tumors of low malignant potential were selected from two different sources: The Polish Ovarian Cancer study, and the Surveillance, Epidemiology, and End Results Residual Tissue Repository (SEER RTR). Analyses were restricted to Caucasian women. Methylation profiling was conducted using the Illumina 450K methylation array. For 45 tumors array copy number data were available. NanoString gene expression data for 39 genes were available for 61 high-grade serous carcinomas (HGSC). Results: Consensus nonnegative matrix factorization clustering of the 1,000 most variable CpG sites showed four major clusters among all epithelial ovarian cancers. We observed statistically significant differences in survival (log-rank test, P = 9.1 × 10−7) and genomic instability across these clusters. Within HGSC, clustering showed three subgroups with survival differences (log-rank test, P = 0.002). Comparing models with and without methylation subgroups in addition to previously identified gene expression subtypes suggested that the methylation subgroups added significant survival information (P = 0.007). Conclusions: DNA methylation profiling of ovarian cancer identified novel molecular subgroups that had significant survival difference and provided insights into the molecular underpinnings of ovarian cancer. See related commentary by Ishak et al., p. 5729