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  • American Association for Cancer Research (AACR)  (3)
  • Tong, Pan  (3)
  • 2010-2014  (3)
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  • American Association for Cancer Research (AACR)  (3)
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  • 2010-2014  (3)
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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 74, No. 19_Supplement ( 2014-10-01), p. 1541-1541
    Abstract: Introduction The molecular underpinnings that beget the considerable biological and clinical heterogeneity of lung adenocarcinoma (AC) driven by oncogenic KRAS are poorly characterized. We hypothesized that significantly co-occurring mutations in components of key cellular tumor suppressor pathways are major determinants of signalling diversification downstream of mutant KRAS. Methods We applied un-supervised hierarchical analysis and classical multi-dimensional scaling to determine patterns of somatic (co)-mutations within a curated set of significantly mutated genes (MutSigCV p value & lt;0.001) among 99 KRAS-mutant lung ACs from the TCGA dataset. Independently, we derived expression clusters by applying un-supervised hierarchical analysis to a subset of 68 KRAS-driven lung ACs with available RNASeq data. Non-negative matrix factorization (NMF) was used to determine cluster stability. Results Clustering of KRAS-driven lung ACs based on patterns of somatic mutations revealed six major mutation clades. Five clades could be defined by combinations of somatic mutations in only four genes : KRAS, TP53, STK11/LKB1 and KEAP1, whereas a sixth clade appeared more heterogenous and was associated with a higher overall rate of somatic mutation. Co-mutations in STK11/LKB1 and TP53 accounted for higher branches of the cluster dendrogram and were largely non-overlapping in the context of early-stage disease. Integration of co-mutation analysis with unsupervised hierarchical analysis of RNA Seq differential expression data identified 3 major expression clusters, that were significantly enriched for the KRAS;TP53 (KP), KRAS;LKB1 (KL) and KRAS only (K) somatic mutation clades, as well as sub-clusters characterized by the presence of mutations in KEAP1. On the contrary, the distribution of the main KRAS amino acid substitutions (G12C, G12V and G12D) did not differ significantly between the expression clusters, indicating that co-mutations rather than distinct KRAS codon 12 base substitutions are the major driver of biological heterogeneity within KRAS-mutant lung ACs. Re-analysis of publicly available large scale drug sensitivity data based on the proposed sub-classification revealed novel genotype-specific therapeutic vulnerabilities for the KL and KP subgroups including selective sensitivity of KL AC cell lines to MK-2206 ( a pan-AKT inhibitor), BX-795 (a PDK1 and TBK1/IKKϵ inhibitor) and the type II topoisomerase inhibitor etoposide. Selected hits were subsequently validated using pairs of isogenic cell lines. Conclusions Co-mutations in a small number of key tumor suppressor genes define biologically distinct and therapeutically relevant subgroups of KRAS-driven lung AC. Efforts to target KRAS signalling in the context of specific co-mutations may provide a more rational and personalized approach to therapy for this challenging group of lung cancer patients. Citation Format: Ferdinandos Skoulidis, Kevin R. Coombes, Lixia Diao, Pan Tong, Maria A. Cortez, Uma Giri, Chao Yang, You Hong Fan, John N. Weinstein, Vassiliki Papadimitrakopoulou, John D. Minna, Jing Wang, Lauren A. Byers, John V. Heymach. Co-mutations define major subsets of KRAS-driven lung adenocarcinoma with implications for targeted cancer therapy. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1541. doi:10.1158/1538-7445.AM2014-1541
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2014
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  • 2
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 12, No. 11_Supplement ( 2013-11-01), p. C117-C117
    Abstract: Background: The discovery of driver genes such as EGFR, ALK, and ROS1 in non-small cell lung cancer has led to novel, highly active therapies for a subset of patients. However, the majority of lung adenocarcinomas do not have alterations in established driver oncogenes. Here we used an integrated proteomic and genomic analysis of the Cancer Genome Atlas (TCGA) to identify potential therapeutic targets in oncogene-negative lung adenocarcinomas. Methods: Protein expression was measured by reverse phase protein array in 181 TCGA lung adenocarcinoma tumors. Protein levels were correlated with mutational status by t-test for individual mutations and for oncogene-positive versus negative tumors. A false discovery rate of 0.10 (corresponding p-value ≤0.047) was used for these analyses. Results: Expression of 160 total and phospho-proteins were compared between oncogene-positive and negative tumors using reverse phase protein array (RPPA). Oncogene-positive tumors included those with canonical mutations in KRAS, EGFR, BRAF, ROS1, ALK, RET, MAPK1, HRAS, NRAS, AKT1, MET, or ERBB2. For the two most frequent driver oncogenes, KRAS (n=47) and EGFR (n=27), the top markers expressed in mutated tumors were pRaf/pMAPK/pERK (KRAS mutated) and pEGFR (EGFR mutated) (p & lt;0.0001 for all). In contrast, oncogene-negative tumors had higher levels of protein markers associated with apoptosis, DNA repair, and cell cycle. Among those overexpressed in oncogene-negative tumors, potentially targetable proteins included total and phosphorylated Chk1 (p=0.01 and p & lt;0.0001, respectively), total and pChk2 (p=0.017 and 0.002), and Bim (p & lt;0.0001). Thymidylate synthase, a marker previously associated with pemetrexed resistance, was also more highly expressed in oncogene-negative tumors (p & lt;0.0001). KEAP1, a regulator of oxidative stress response, was the second most commonly mutated gene in oncogene-negative tumors (after TP53). KEAP1 mutated tumors expressed lower protein levels of KEAP1 (p & lt;0.0001) and higher NRF2 (p & lt;0.001) (normally targeted by KEAP1 for degradation), as well as lower levels of pAMPK and pNFKB (P & lt;0.0001 and 0.006, respectively). Finally, KEAP1 mutated tumors were also frequently negative for expression of TTF1 (p=0.001, fisher test), a transcription factor commonly used as a histological marker in the diagnosis of lung adenocarcinoma. In comparison, oncogene-positive tumors (especially EGFR and BRAF mutated adenocarcinomas) expressed high levels of TTF1. Conclusion: Potentially targetable or predictive markers, including Chk1/2, Bim, and thymidylate synthase, were expressed at higher levels in oncogene-negative lung adenocarcinomas. These findings support further investigation of these targets and associated biomarkers and could provide a treatment strategy for patients without established driver mutations such as EGFR, ALK, and ROS1. Citation Information: Mol Cancer Ther 2013;12(11 Suppl):C117. Citation Format: Lixia Diao, Pan Tong, Jing Wang, You-Hong Fan, Yiling Lu, Wenbin Liu, Carmen Behrens, Ignacio I. Wistuba, John V. Heymach, John N. Weinstein, Gordon B. Mills, Lauren A. Byers. An integrated proteomic analysis of lung adenocarcinomas from The Cancer Genome Atlas (TCGA) reveals potential targets for oncogene-negative tumors. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2013 Oct 19-23; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(11 Suppl):Abstract nr C117.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 74, No. 19_Supplement ( 2014-10-01), p. 1040-1040
    Abstract: Background: Epithelial-to-mesenchymal transition (EMT) is a marker of resistance to specific targeted drugs in non-small cell lung cancer (NSCLC), head and neck squamous cell carcinoma (HNSC), and other epithelial cancer and may be associated with poor patient outcomes. Here we performed an integrated molecular analysis in 1934 tumors representing 11 different cancer types in the Cancer Genome Atlas (TCGA) and 1264 representative cell lines to investigate new potential therapeutic targets (PTTs) in mesenchymal tumors. Methods: For each tumor, we correlated the EMT score (based on expression of an EMT gene signature) with mutation status, copy number alterations (CNA), mRNA, miRNA, and protein expression. PTTs expressed in mesenchymal tumors were investigated in vitro using publically available drug sensitivity datasets (DSDs) by correlating IC50s with EMT score. Results: Most cancer types exhibited a range of EMT scores that included both epithelial and mesenchymal tumors, with the exception of kidney clear cell carcinoma (KIRC) (all mesenchymal) and ovarian serous cystadenocarcinoma (OV) (primarily epithelial). Patients with mesenchymal OV and HNSC experienced shorter overall survival (p=0.029 and 0.076, respectively). BAP1 and PP2R1A mutations were more frequent in mesenchymal tumors, independent of primary site (adjusted p value & lt;0.05). Conversely, NSD1 and KEAP1 mutations were more frequent in tumors with low EMT scores (epithelial) (p & lt;0.05). Overall mutation burden and CNAs were not associated with mesenchymal status. A striking association between miR expression and EMT score was observed across most tumor types, including low miR 200 family and high miR 199a and 214 expression in mesenchymal cancers (r & gt;0.3). PTTs commonly expressed in mesenchymal tumors included AXL, PDGFRA/B, MMP2 and DDR2 (r & gt;0.6). Of these, investigation of the DSDs supported in vitro sensitivity of mesenchymal cell lines overall to PDGFR and GSK3 inhibitors, but resistance to drugs targeting ErbB family members, including the dual VEGF/EGFR inhibitor vandetanib (p & lt;0.001) and drugs targeting Her2 and/or EGFR (p & lt;0.001). In contrast, other EMT-associated drug resistance was tissue specific, such as resistance of mesenchymal breast cancer lines to mTOR inhibition (p 0.03). Conclusions: Application of the EMT signature to diverse tumor types identifies highly conserved patterns of gene and miRs expression, including high miR-199a expression in mesenchymal cancers. While mutational landscape and CNAs were most often driven by tumor type, protein expression and drug sensitivity were influenced by a combination of tumor type and EMT status. New associations between drug response and EMT were identified, such as the sensitivity of mesenchymal cancers to PDGFR and GSK3 inhibitors, that warrant further investigation. Citation Format: Pan Tong, Milena P. Mak, Lixia Diao, Jing Wang, Patrick Kwok-Shing Ng, You-hong Fan, William N. William, John V. Heymach, Kevin R. Coombes, Lauren Averett Byers. An integrated analysis of EMT across diverse cancer types identifies new potential therapeutic targets. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1040. doi:10.1158/1538-7445.AM2014-1040
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2014
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    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
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