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3 citation(s) found for "Yan, Ping".

Identification of a Blood-Based Protein Biomarker Panel for Lung Cancer Detection
El‐Khoury, Victoria , Schritz, Anna , Lesur, Antoine , Sertamo, Katriina, Bernardin, François , Pétritis, Konstantinos , Pirrotte, Patrick , Selinsky, Cheryl , Zhang, Haizhen , Kennedy, Jacob J. , Lin, Chenwei , Lee, Lik Wee , Yan, Ping , Tran, Nhan L. , Inge, Landon J. , Chalabi, Khaled, Decker, G. Anton , Bjerkvig, Rolf , Paulovich, Amanda G. , Berchem, Guy , Kim, Yeoun Jin , Bernardin, François , Petritis, Konstantinos , Berchem, Guy , Tran, Nhan L , Kim, Sang‐Yoon , Whiteaker, Jeffrey R.

Cancers | June 19, 2020 | Volume: 12 | Issue: 6 | Pages: 1629

10.3390/cancers12061629 | PMID 32575471 Get It

Lung cancer is the deadliest cancer worldwide, mainly due to its advanced stage at the time of diagnosis. A non-invasive method for its early detection remains mandatory to improve patients’ survival. Plasma levels of 351 proteins were quantified by Liquid Chromatography-Parallel Reaction Monitoring (LC-PRM)-based mass spectrometry in 128 lung cancer patients and 93 healthy donors. Bootstrap sampling and least absolute shrinkage and selection operator (LASSO) penalization were used to find the best protein combination for outcome prediction. The PanelomiX platform was used to select the optimal biomarker thresholds. The panel was validated in 48 patients and 49 healthy volunteers. A 6-protein panel clearly distinguished lung cancer from healthy individuals. The panel displayed excellent performance: area under the receiver operating characteristic curve (AUC) = 0.999, positive predictive value (PPV) = 0.992, negative predictive value (NPV) = 0.989, specificity = 0.989 and sensitivity = 0.992. The panel detected lung cancer independently of the disease stage. The 6-protein panel and other sub-combinations displayed excellent results in the validation dataset. In conclusion, we identified a blood-based 6-protein panel as a diagnostic tool in lung cancer. Used as a routine test for high- and average-risk individuals, it may complement currently adopted techniques in lung cancer screening.
Targeted sequencing of established and candidate colorectal cancer genes in the Colon Cancer Family Registry Cohort
(CCFR), Colon Cancer Family Registry, Rosty, Christophe , Lindor, Noralane M. , Gruber, Stephen B. , Buchanan, Daniel D. , Raskin, Leon , (CCFR), Colon Cancer Family Registry, Guo, Yan Ping , Du, Liping , Clendenning, Mark , Buchanan, Daniel D , Rosty, Christophe

Oncotarget | June 21, 2017 | Volume: 8 | Issue: 55 | Pages: 93450-93463

10.18632/oncotarget.18596 | PMID 29212164 Get It

RNA Sequencing Identifies Transcriptionally Viable Gene Fusions in Esophageal Adenocarcinomas
Blum, Andrew E., Venkitachalam, Srividya , Kieber-Emmons, Ann Marie, Ravi, Lakshmeswari, Chandar, Apoorva K., Iyer, Prasad G. , Wang, Jean S. , Shaheen, Nicholas J. , Barnholtz‐Sloan, Jill S. , Markowitz, Sanford D. , Willis, Joseph , Shyr, Yu , Chak, Amitabh , Varadan, Vinay , Guda, Kishore , Guo, Yan Ping , Canto, Marcia Irene , Willis, Joseph E , Barnholtz-Sloan, Jill S

Cancer Research | August 8, 2016 | Volume: 76 | Issue: 19 | Pages: 5628-5633

10.1158/0008-5472.can-16-0979 | PMID 27503924 Get It

Abstract Esophageal adenocarcinoma is a deadly cancer with increasing incidence in the United States, but mechanisms underlying pathogenesis are still mostly elusive. In addressing this question, we assessed gene fusion landscapes by comprehensive RNA sequencing (RNAseq) of 55 pretreatment esophageal adenocarcinoma and 49 nonmalignant biopsy tissues from patients undergoing endoscopy for Barrett's esophagus. In this cohort, we identified 21 novel candidate esophageal adenocarcinoma–associated fusions occurring in 3.33% to 11.67% of esophageal adenocarcinomas. Two candidate fusions were selected for validation by PCR and Sanger sequencing in an independent set of pretreatment esophageal adenocarcinoma (N = 115) and nonmalignant (N = 183) biopsy tissues. In particular, we observed RPS6KB1–VMP1 gene fusion as a recurrent event occurring in approximately 10% of esophageal adenocarcinoma cases. Notably, esophageal adenocarcinoma cases harboring RPS6KB1–VMP1 fusions exhibited significantly poorer overall survival as compared with fusion-negative cases. Mechanistic investigations established that the RPS6KB1–VMP1 transcript coded for a fusion protein, which significantly enhanced the growth rate of nondysplastic Barrett's esophagus cells. Compared with the wild-type VMP1 protein, which mediates normal cellular autophagy, RPS6KB1–VMP1 fusion exhibited aberrant subcellular localization and was relatively ineffective in triggering autophagy. Overall, our findings identified RPS6KB1–VMP1 as a genetic fusion that promotes esophageal adenocarcinoma by modulating autophagy-related processes, offering new insights into the molecular pathogenesis of esophageal adenocarcinomas. Cancer Res; 76(19); 5628–33. ©2016 AACR.