Shaojian Gao
National Institutes of Health
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Featured researches published by Shaojian Gao.
Molecular & Cellular Proteomics | 2017
Xu Zhang; Tapan Maity; Manoj Kumar Kashyap; Mukesh Bansal; Abhilash Venugopalan; Sahib Singh; Shivangi Awasthi; Arivusudar Marimuthu; Harrys K.C. Jacob; Natalya Belkina; Stephanie Pitts; Constance Cultraro; Shaojian Gao; Guldal Kirkali; Romi Biswas; Raghothama Chaerkady; Akhilesh Pandey; Udayan Guha
Mutations in the Epidermal growth factor receptor (EGFR) kinase domain, such as the L858R missense mutation and deletions spanning the conserved sequence 747LREA750, are sensitive to tyrosine kinase inhibitors (TKIs). The gatekeeper site residue mutation, T790M accounts for around 60% of acquired resistance to EGFR TKIs. The first generation EGFR TKIs, erlotinib and gefitinib, and the second generation inhibitor, afatinib are FDA approved for initial treatment of EGFR mutated lung adenocarcinoma. The predominant biomarker of EGFR TKI responsiveness is the presence of EGFR TKI-sensitizing mutations. However, 30–40% of patients with EGFR mutations exhibit primary resistance to these TKIs, underscoring the unmet need of identifying additional biomarkers of treatment response. Here, we sought to characterize the dynamics of tyrosine phosphorylation upon EGFR TKI treatment of mutant EGFR-driven human lung adenocarcinoma cell lines with varying sensitivity to EGFR TKIs, erlotinib and afatinib. We employed stable isotope labeling with amino acids in cell culture (SILAC)-based quantitative mass spectrometry to identify and quantify tyrosine phosphorylated peptides. The proportion of tyrosine phosphorylated sites that had reduced phosphorylation upon erlotinib or afatinib treatment correlated with the degree of TKI-sensitivity. Afatinib, an irreversible EGFR TKI, more effectively inhibited tyrosine phosphorylation of a majority of the substrates. The phosphosites with phosphorylation SILAC ratios that correlated with the TKI-sensitivity of the cell lines include sites on kinases, such as EGFR-Y1197 and MAPK7-Y221, and adaptor proteins, such as SHC1-Y349/350, ERRFI1-Y394, GAB1-Y689, STAT5A-Y694, DLG3-Y705, and DAPP1-Y139, suggesting these are potential biomarkers of TKI sensitivity. DAPP1, is a novel target of mutant EGFR signaling and Y-139 is the major site of DAPP1 tyrosine phosphorylation. We also uncovered several off-target effects of these TKIs, such as MST1R-Y1238/Y1239 and MET-Y1252/1253. This study provides unique insight into the TKI-mediated modulation of mutant EGFR signaling, which can be applied to the development of biomarkers of EGFR TKI response.
Cold Spring Harb Mol Case Stud | 2016
Romi Biswas; Shaojian Gao; Constance Cultraro; Tapan Maity; Abhilash Venugopalan; Zied Abdullaev; Alexey K. Shaytan; Corey A. Carter; Anish Thomas; Arun Rajan; Young Song; Stephanie Pitts; Kevin Chen; Sara Bass; Joseph Boland; Ken-ichi Hanada; Jin-Qiu Chen; Paul S. Meltzer; Anna R. Panchenko; James Chih-Hsin Yang; Svetlana Pack; Giuseppe Giaccone; David S. Schrump; Javed Khan; Udayan Guha
We used next-generation sequencing to identify somatic alterations in multiple metastatic sites from an “exceptional responder” lung adenocarcinoma patient during his 7-yr course of ERBB2-directed therapies. The degree of heterogeneity was unprecedented, with ∼1% similarity between somatic alterations of the lung and lymph nodes. One novel translocation, PLAG1-ACTA2, present in both sites, up-regulated ACTA2 expression. ERBB2, the predominant driver oncogene, was amplified in both sites, more pronounced in the lung, and harbored an L869R mutation in the lymph node. Functional studies showed increased proliferation, migration, metastasis, and resistance to ERBB2-directed therapy because of L869R mutation and increased migration because of ACTA2 overexpression. Within the lung, a nonfunctional CDK12, due to a novel G879V mutation, correlated with down-regulation of DNA damage response genes, causing genomic instability, and sensitivity to chemotherapy. We propose a model whereby a subclone metastasized early from the primary site and evolved independently in lymph nodes.
bioRxiv | 2018
Xu Zhang; Khoa Nguyen; Paul A. Rudnick; Nitin Roper; Emily Kawaler; Tapan Maity; Shivangi Awasthi; Shaojian Gao; Romi Biswas; Abhilash Venugopalan; Constance Cultraro; David Fenyö; Udayan Guha
Lung cancer is the leading cause of cancer death both in men and women. Tumor heterogeneity is an impediment to targeted treatment of all cancers, including lung cancer. Here, we sought to characterize changes in tumor proteome and phosphoproteome by longitudinal, prospective collection of tumor tissue of an exceptional responder lung adenocarcinoma patient who survived with metastatic lung adenocarcinoma for more than seven years with HER2-directed therapy in combination with chemotherapy. We employed “Super-SILAC” and TMT labeling strategies to quantify the proteome and phosphoproteome of a lung metastatic site and ten different metastatic progressive lymph nodes collected across a span of seven years, including five lymph nodes procured at autopsy. We identified specific signaling networks enriched in lung compared to the lymph node metastatic sites. We correlated the changes in protein abundance with changes in copy number alteration (CNA) and transcript expression. To further interrogate the mass spectrometry data, patient-specific database was built incorporating all the somatic variants identified by whole genome sequencing (WGS) of genomic DNA from the lung, one lymph node metastatic site and blood. An extensive validation pipeline was built for confirmation of variant peptides. We validated 360 spectra corresponding to 55 germline and 6 somatic variant peptides. Targeted MRM assays demonstrated expression of two novel variant somatic peptides, CDK12-G879V and FASN-R1439Q, with expression in lung and lymph node metastatic sites, respectively. CDK12 G879V mutation likely results in a nonfunctional CDK12 kinase and chemotherapy susceptibility in lung metastatic sites. Knockdown of CDK12 in lung adenocarcinoma cells results in increased chemotherapy sensitivity, explaining the complete resolution of the lung metastatic sites in this patient.
bioRxiv | 2018
Nitin Roper; Shaojian Gao; Tapan Maity; A. Rouf Banday; Xu Zhang; Abhilash Venugopalan; Constance Cultraro; Rajesh Patidar; Sivasish Sindiri; Alexandr Goncearenco; Anna R. Panchenko; Romi Biswas; Anish Thomas; Arun Rajan; Corey A. Carter; David E. Kleiner; Stephen M. Hewitt; Javed Khan; Ludmila Prokunina-Olsson; Udayan Guha
Elucidation of the proteogenomic evolution of metastatic tumors may offer insight into the poor prognosis of patients harboring metastatic disease. We performed whole-exome and transcriptome sequencing, copy number alterations (CNA) and mass spectrometry-based quantitative proteomics of 37 lung adenocarcinoma (LUAD) and thymic carcinoma (TC) metastases obtained by rapid autopsy and found evidence of patient-specific, multi-dimensional heterogeneity. Extreme mutational heterogeneity was evident in a subset of patients whose tumors showed increased APOBEC-signature mutations and expression of APOBEC3 region transcripts compared to patients with lesser mutational heterogeneity. TP53 mutation status was associated with APOBEC hypermutators in our cohort and in three independent LUAD datasets. In a thymic carcinoma patient, extreme heterogeneity and increased APOBEC3AB expression was associated with a high-risk germline APOBEC3AB variant allele. Patients with CNA occurring late in tumor evolution had corresponding changes in gene expression and protein abundance indicating genomic instability as a mechanism of downstream transcriptomic and proteomic heterogeneity between metastases. Across all tumors, proteomic heterogeneity was greater than copy number and transcriptomic heterogeneity. Enrichment of interferon pathways was evident both in the transcriptome and proteome of the tumors enriched for APOBEC mutagenesis despite a heterogeneous immune microenvironment across metastases suggesting a role for the immune microenvironment in the expression of APOBEC transcripts and generation of mutational heterogeneity. The evolving, heterogeneous nature of LUAD and TC, through APOBEC-mutagenesis and CNA illustrate the challenges facing treatment outcomes.
Cancer Research | 2015
Shaojian Gao; Constance Cultraro; Romi Biswas; Corey A. Carter; Tapan Maity; Anish Thomas; Arun Rajan; Paul S. Meltzer; David S. Schrump; Giuseppe Giaccone; Javed Khan; Udayan Guha
Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA Recent large-scale cancer genome sequencing studies have uncovered extensive diverse mutational landscapes in lung cancer patients. Furthermore, tumor heterogeneity has been widely recognized and it has significant clinical implications in selection of targeted treatment strategies as well as treatment response. Using whole genome sequencing, we demonstrate an unprecedented genomic heterogeneity between sequentially acquired lung and lymph node metastatic sites from an African American never-smoker lung adenocarcinoma patient who has survived with metastatic disease for over seven years while being treated with single or combination HER2-directed therapies. We determined that less than 1% of somatic variants were common between the two tumor sites. Copy number variations were more intense in the lung tumor than in the metastatic lymph node. We identified several novel somatic mutations in key cancer genes in both sites. Interestingly, one novel translocation, PLAG1-ACTA2 was highly expressed in both the lung and lymph node metastases resulting in overexpression of ACTA2, which has been suggested to increase the metastatic potential in lung adenocarcinoma. Using ultra deep targeted re-sequencing, we validated all non-synonymous variants, and approximately 80% of those identified in the metastatic lymph node were also present in a second lymph node biopsied two years after the first one. Although this degree of tumor heterogeneity was surprising, somatic variants affected key hallmarks of tumorigenesis in both sites. These findings suggest a model of early metastatic spread and parallel clonal evolution in disparate metastatic sites. Citation Format: Shaojian Gao, Constance Cultraro, Romi BIswas, Corey A. Carter, Tapan K. Maity, Anish Thomas, Arun Rajan, Paul Meltzer, David Schrump, Giuseppe Giaccone, Javed Khan, Udayan Guha. Whole genome sequencing of sequentially acquired lung and lymph node metastatic sites from a never smoker lung adenocarcinoma patient revealed extensive genomic heterogeneity. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4759. doi:10.1158/1538-7445.AM2015-4759
Molecular Cancer Therapeutics | 2018
Paul L. Feingold; Deborah R. Surman; Kate Brown; Yuan Xu; Lucas A. McDuffie; Vivek Shukla; Emily S. Reardon; Daniel R. Crooks; Jane B. Trepel; Sunmin Lee; Min-Jung Lee; Shaojian Gao; Sichuan Xi; Kaitlin C. McLoughlin; Laurence P. Diggs; David G. Beer; Derek J. Nancarrow; Leonard M. Neckers; Jeremy L. Davis; Chuong D. Hoang; Jonathan M. Hernandez; David S. Schrump; R. Taylor Ripley
Cancer Research | 2018
Chul Kim; Nitin Roper; Chuong D. Hoang; Laura Wisch; Maureen Connolly; Hsien-Chao Chou; Jun Wei; Manoj Tyagi; Constance Cultraro; Liqiang Xi; Maryam Waris; Khoa Nguyen; Eva Szabo; Emerson Padiernos; Aparna H. Kesarwala; Shaojian Gao; Seth M. Steinberg; Mark Raffeld; Arun Rajan; Javed Khan; Udayan Guha
Journal of Thoracic Oncology | 2017
N. Roper; Xu Zhang; Tapan Maity; Shaojian Gao; A. Venugopalan; Romi Biswas; Constance Cultraro; Chul Kim; Emerson Padiernos; Arun Rajan; Anish Thomas; Raffit Hassan; D. Kleiner; Stephen M. Hewitt; Javed Khan; Udayan Guha
Journal of Thoracic Oncology | 2017
Romi Biswas; Shaojian Gao; Contance Cultraro; Xu Zhang; Tapan Maity; Corey A. Carter; Anish Thomas; Arun Rajan; Ken-ichi Hanada; Young Song; Zied Abdullaev; Paul S. Meltzer; James Chih-Hsin Yang; Svetlana Pack; Giuseppe Giaccone; Javed Khan; Udayan Guha
Journal of Clinical Oncology | 2017
Nitin Roper; Tapan Maity; Shaojian Gao; Abhilash Venugopalan; Xu Zhang; Romi Biswas; Susan Perry; Constance Cultraro; Chul Kim; Raffit Hassan; Anish Thomas; Arun Rajan; David E. Kleiner; Stephen M. Hewitt; Javed Khan; Udayan Guha