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Christos Patriotis

National Cancer Institute

ORCID: 0000-0001-6441-776X

Publishes on Ovarian cancer diagnosis and treatment, Radiomics and Machine Learning in Medical Imaging, Gene expression and cancer classification. 84 papers and 3.1k citations.

84Publications
3.1kTotal Citations

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Top publicationsby citations

Ovarian Cancer Biomarker Performance in Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Specimens
Daniel W. Cramer, Robert C. Bast, Christine D. Berg et al.|Cancer Prevention Research|2011
Cited by 296Open Access

Establishing a cancer screening biomarker's intended performance requires "phase III" specimens obtained in asymptomatic individuals before clinical diagnosis rather than "phase II" specimens obtained from symptomatic individuals at diagnosis. We used specimens from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial to evaluate ovarian cancer biomarkers previously assessed in phase II sets. Phase II specimens from 180 ovarian cancer cases and 660 benign disease or general population controls were assembled from four Early Detection Research Network or Ovarian Cancer Specialized Program of Research Excellence sites and used to rank 49 biomarkers. Thirty-five markers, including 6 additional markers from a fifth site, were then evaluated in PLCO proximate specimens from 118 women with ovarian cancer and 474 matched controls. Top markers in phase II specimens included CA125, HE4, transthyretin, CA15.3, and CA72.4 with sensitivity at 95% specificity ranging from 0.73 to 0.40. Except for transthyretin, these markers had similar or better sensitivity when moving to phase III specimens that had been drawn within 6 months of the clinical diagnosis. Performance of all markers declined in phase III specimens more remote than 6 months from diagnosis. Despite many promising new markers for ovarian cancer, CA125 remains the single-best biomarker in the phase II and phase III specimens tested in this study.

A Framework for Evaluating Biomarkers for Early Detection: Validation of Biomarker Panels for Ovarian Cancer
Claire S. Zhu, Paul F. Pinsky, Daniel W. Cramer et al.|Cancer Prevention Research|2011
Cited by 187Open Access

A panel of biomarkers may improve predictive performance over individual markers. Although many biomarker panels have been described for ovarian cancer, few studies used prediagnostic samples to assess the potential of the panels for early detection. We conducted a multisite systematic evaluation of biomarker panels using prediagnostic serum samples from the Prostate, Lung, Colorectal, and Ovarian Cancer (PLCO) screening trial. Using a nested case-control design, levels of 28 biomarkers were measured laboratory-blinded in 118 serum samples obtained before cancer diagnosis and 951 serum samples from matched controls. Five predictive models, each containing 6 to 8 biomarkers, were evaluated according to a predetermined analysis plan. Three sequential analyses were conducted: blinded validation of previously established models (step 1); simultaneous split-sample discovery and validation of models (step 2); and exploratory discovery of new models (step 3). Sensitivity, specificity, sensitivity at 98% specificity, and AUC were computed for the models and CA125 alone among 67 cases diagnosed within one year of blood draw and 476 matched controls. In step 1, one model showed comparable performance to CA125, with sensitivity, specificity, and AUC at 69.2%, 96.6%, and 0.892, respectively. Remaining models had poorer performance than CA125 alone. In step 2, we observed a similar pattern. In step 3, a model derived from all 28 markers failed to show improvement over CA125. Thus, biomarker panels discovered in diagnostic samples may not validate in prediagnostic samples; utilizing prediagnostic samples for discovery may be helpful in developing validated early detection panels.

Tumor progression locus 2 (Tpl-2) encodes a protein kinase involved in the progression of rodent T-cell lymphomas and in T-cell activation.
Christos Patriotis, Antonios M. Makris, S E Bear et al.|Proceedings of the National Academy of Sciences|1993
Cited by 170Open Access

The Tpl-2 locus, cloned by provirus tagging from one of three sublines of the Moloney leukemia virus-induced rat thymoma 2769, defines a gene encoding a protein kinase associated with progression in 22.5% of the tumors. Tpl-2 is expressed primarily in spleen, thymus, liver, and lung. Provirus integration occurs in the last intron of the gene, leading to the expression of a truncated mRNA that terminates in the proviral long terminal repeat and encodes a protein with an altered C-terminal domain. Strong evidence that this genetic change confers growth advantage to affected cell clones was provided by the finding that, during cultivation of all three sublines derived from tumor 2769, cells were selected that harbored independent provirus insertions in the Tpl-2 locus. Exposure of normal rat spleen cells to Con A induces the expression of enhanced levels of Tpl-2 within the first 60 min from the time of exposure suggesting that, in normal splenocytes, Tpl-2 may be involved in the transition from a quiescent to the G1 phase of the cell cycle.