Project description:Genome-wide DNA methylation profiling of normal and lung adenocarcinoma fresh tissue samples. The Illumina Infinium MethylationEPIC BeadChip (850K) was used to obtain DNA methylation profiles across 860,000 CpGs in fresh tissue of lung adenocarcinoma and adjacent histological normal lung tissue samples. Samples included 30 paired tumor-normal driver gene-negative lung adenocarcinoma tissues and 35 paired tumor-normal EGFR-mutation positive lung adenocarcinoma tissues.
Project description:Current clinical therapy of non-small cell lung cancer depends on histo-pathological classification. This approach poorly predicts clinical outcome for individual patients. Proteogenomic characterization analysis holds promise to improve clinical stratification, thus paving the way for individualized therapy. We investigated proteogenomic characterization and performed comprehensive integrative genomic analysis of human large cell lung cancer. Here we analyzed proteomes of 29 paired normal lung tissues and large cell lung cancer, identified significantly deregulated proteins associated with large cell lung cancer.
Project description:Cancer is predominantly a somatic disease. A mutant allele found in cancer cell genome is considered somatic when it is absent in paired normal genome and dbSNP, the most comprehensive public SNP database. However, dbSNP inadequately represents several non-Caucasian populations including that from the Indian subcontinent, posing a limitation in cancer genomic analyses of data from these populations. We present TMC-SNPdb, as the first open source freely accessible (through ANNOVAR), flexible and upgradable SNP database from whole exome data of 62 normal samples derived from cancer patients of Indian origin, representing 114,309 unique germline variants. TMC-SNPdb is presented with a companion subtraction tool that can be executed with command line option or an easy-to-use graphical user interface (GUI) with the ability to deplete additional Indian population specific SNPs over and above that possible with dbSNP and 1000 Genomes databases. Using an institutional generated whole exome data set of 132 samples of Indian origin, we demonstrate that TMC-SNPdb reduced 42%, 33% and 28% false positive somatic events post dbSNP depletion in Indian origin tongue, gallbladder, and cervical cancer samples, respectively. Beyond cancer somatic analyses, we anticipate utility of TMC-SNPdb in several Mendelian germline diseases.
Project description:Intrahepatic cholangiocarcinoma (iCCA) is a fatal bile duct cancer with dismal prognosis and limited therapeutic options. By performing RNA- and exome sequencing analyses we have discovered a novel fusion event, FGFR2-PPHLN1 (16%), and damaging mutations in the ARAF oncogene (11%). Methods: mRNA and gDNA were exctracted from fresh frozen tumor tissues and corresponding normal tissue (n=8 pairs) from patients with iCCA who underwent surgical resection. RNA-seq was performed using Illumina HiSeq 2500 System with 100 nucleotide single-end reads. One sample and its paired non-tumoral tissue were eliminated from the subsequent analysis because of bad RNa quality. The same 8 paired tumors were also analyzed by whole-exome seq. Submitter confirms there are no patient privacy concerns with these data. This dataset is part of the TransQST collection.
Project description:The total protein expression level of 11 paired human normal, human lung cancer samples and correspoding mouse xenograft samples were analyzed by LC-MS/MS. These protein expression data were than compared with corresponding DNA copy number changes and mRNA expression level changes among these samples.
