Integrated genomic analysis reveals mutated ELF3 as a potential gallbladder cancer vaccine candidate
NATURE COMMUNICATIONS
Authors: Pandey, Akhilesh; Stawiski, Eric W.; Durinck, Steffen; Gowda, Harsha; Goldstein, Leonard D.; Barbhuiya, Mustafa A.; Schroeder, Markus S.; Sreenivasamurthy, Sreelakshmi K.; Kim, Sun-Whe; Phalke, Sameer; Suryamohan, Kushal; Lee, Kayla; Chakraborty, Papia; Kode, Vasumathi; Shi, Xiaoshan; Chatterjee, Aditi; Datta, Keshava; Khan, Aafaque A.; Subbannayya, Tejaswini; Wang, Jing; Chaudhuri, Subhra; Gupta, Sanjiv; Shrivastav, Braj Raj; Jaiswal, Bijay S.; Poojary, Satish S.; Bhunia, Shushruta; Garcia, Patricia; Bizama, Carolina; Rosa, Lorena; Kwon, Wooil; Kim, Hongbeom; Han, Youngmin; Yadav, Thakur Deen; Ramprasad, Vedam L.; Chaudhuri, Amitabha; Modrusan, Zora; Roa, Juan Carlos; Tiwari, Pramod Kumar; Jang, Jin-Young; Seshagiri, Somasekar
Abstract
Gallbladder cancer (GBC) is an aggressive gastrointestinal malignancy with no approved targeted therapy. Here, we analyze exomes (n=160), transcriptomes (n=115), and low pass whole genomes (n=146) from 167 gallbladder cancers (GBCs) from patients in Korea, India and Chile. In addition, we also sequence samples from 39 GBC high-risk patients and detect evidence of early cancer-related genomic lesions. Among the several significantly mutated genes not previously linked to GBC are ETS domain genes ELF3 and EHF, CTNNB1, APC, NSD1, KAT8, STK11 and NFE2L2. A majority of ELF3 alterations are frame-shift mutations that result in several cancer-specific neoantigens that activate T-cells indicating that they are cancer vaccine candidates. In addition, we identify recurrent alterations in KEAP1/NFE2L2 and WNT pathway in GBC. Taken together, these define multiple targetable therapeutic interventions opportunities for GBC treatment and management. Gallbladder cancer incidence shows characteristic geographic patterns. Here the authors perform a genomic analysis of gallbladder cancers in patients from countries with high incidence (South Korea, India and Chile) and identify ELF3 and other significantly mutated genes not previously associated with gallbladder cancer.
Hotspot Mutations Detectable by Next-generation Sequencing in Exhaled Breath Condensates from Patients with Lung Cancer
ANTICANCER RESEARCH
Authors: Youssef, Omar; Knuuttila, Aija; Piirila, Paivi; Bohling, Tom; Sarhadi, Virinder; Knuutila, Sakari
Abstract
Background: Genetic alterations occurring in lung cancer are the basis for defining molecular subtypes and essential for targeted therapies. Exhaled breath condensate (EBC) is a form of non-invasive sample that, amongst components, contains DNA from pulmonary tissue. Nextgeneration sequencing (NGS) was herein used to analyze mutations in EBC from patients with lung cancer. Materials and Methods: EBC was collected from 26 patients with cancer and 20 healthy controls. Amplicon-based sequencing using Ion Ampliseq Colon and Lung Cancer gene panel v2 was applied. Results: The sequencing was successful in 17 patients and 20 controls. EBC from patients revealed 39 hotspot mutations occurring in: adenomatous polyposis coli (APC), v-raf murine sarcoma viral oncogene homolog B (BRAE), discoidin domain receptor tyrosine kinase 2 (DDR2), epidermal growth factor receptor (EGFR), erb-b2 receptor tyrosine kinase 4 (ERBB4), F-box and WD repeat domain containing 7 (FBXW7), fibroblast growth factor receptor 1 (FGER1), FGFR3 (fibroblast growth factor receptor 3), Kirsten rat sarcoma viral oncogene homolog (KRAS), mitogen-activated protein kinase kinase 1 (MAP2K1), met proto-oncogene (MET), neuroblastoma RAS viral (v-ras) oncogene homolog (NRAS), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), phosphatase and tensin homolog (PTEN), ret proto-oncogene (RET), SMAD family member 4 (SMAD4), serine/threonine kinase 11 (STK11), and tumorprotein p53 (TP53) genes. EBC from controls revealed 35 hotspot mutations. The average mutant allele fraction was higher in patients than controls. Conclusion: NGS can identify mutations in EBCs from patients with lung cancer. This could provide a promising non-invasive method for the assessment of gene mutations in lung cancer.