Project description:Colorectal cancer (CRC) is the third most common cancer worldwide and liver metastasis remains the major cause of death in CRC. Extensive genomic analysis provided valuable insight into the pathogenesis and progression of CRC. However, the major proteogenomic characterization of CRC liver metastasis is still unknown. We investigated proteogenomic characterization and performed comprehensive integrative genomic analysis of human colorectal cancer liver metastasis.
Project description:Pathogenic mutations in fumarate hydratase (FH) drive hereditary leiomyomatosis and renal cell cancer (HLRCC) and increase the risk of developing uterine leiomyomas (ULMs). An integrated proteogenomic analysis of ULMs from HLRCC (n=16; FH-mutation confirmed) and non-syndromic (NS) patients (n=12) identified a significantly higher protein:transcript correlation in HLRCC (R=0.35) vs. NS ULMs (R=0.242, MWU p=0.0015). Co-altered proteins and transcripts (228) included antioxidant response element (ARE) target genes, such as thioredoxin reductase 1 (TXNRD1), and correlated with activation of NRF2-mediated oxidative stress response signaling in HLRCC ULMs. We confirm 185 transcripts previously described as altered between HLRCC and NS ULMs, 51 co-altered at the protein level and several elevated in HLRCC ULMs are involved in regulating cellular metabolism and glycolysis signaling. Furthermore, 367 S-(2-succino)cysteine peptides were identified in HLRCC ULMs, of which sixty were significantly elevated in HLRCC vs. NS ULMs (LogFC=1.86, MWU p<0.0001). These results confirm and define novel proteogenomic alterations in uterine leiomyoma tissues collected from HLRCC patients and underscore conserved molecular alterations correlating with inactivation of the FH tumor suppressor gene.
Project description:We report proteogenomic analysis of diffuse gastric cancers (GCs) in young population. Phosphoproteome data elucidated signaling pathways associated with somatic mutations based on mutation-phosphorylation correlations. Moreover, correlations between mRNA and protein abundances provided potential oncogenes and tumor suppressors associated with patient survival. Furthermore, integrated clustering of mRNA, protein, phosphorylation, and N-glycosylation data identified four subtypes of diffuse GCs. Distinguishing these subtypes was possible by proteomic data. Four subtypes were associated with proliferation, immune response, metabolism, and invasion, respectively; and associations of the subtypes with immune- and invasion-related pathways were identified mainly by phosphorylation and N-glycosylation data. Therefore, our proteogenomic analysis provides additional information beyond genomic analyses, which can improve understanding of cancer biology and patient stratification in diffuse GCs.
Project description:Cervical cancer (CACX) is the tumor of the uterine cervix and its primary etiological factor is the infection of high risk human papilloma virus (hrHPV), primarily HPV16 and HPV18. CACX is the third most commonly diagnosed cancer and the fourth leading cause of cancer deaths in women worldwide. In India, CACX accounts for approximately 1,22,844 new cases and 67,477 deaths annually. It is evident that Indian women are getting diagnosed at invasive stages of CACX leading to poor prognosis. Here, we tried to understand the change in the expression profile during the development of the tumor starting from HPV-negative normal samples to invasive CACX samples and try to understand the pathogenesis of cervical carcinoma in Indian patients.
Project description:Cancer of the uterine cervix (CACX) is the third most commonly diagnosed cancer and the fourth leading cause of cancer deaths in women worldwide. In India, CACX accounts for approximately 1,22,844 new cases and 67,477 deaths annually. Previously, we catalogued global copy-number aberrations [GSE76911] and performed gene expression profiling [GSE122697] in CACX. Interestingly, differential change in the expression between normal and tumor tissues of several genes did not correlate with the chromosomal copy-number alteration. This encouraged us to perform genome-wide DNA methylation analysis. Hence, in the current study, we discover the global methylation in cervical tumors at different clinical stages and HPV-negative normal ectocervix along with HPV16-positive cervical squamous cell carcinoma cell line, SiHa.
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:The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in normal and cancer tissue from the uterine cervix. There are a total of 63 samples, 15 samples of normal histology and 48 cervical cancers. The normal cervical samples were from women who underwent a hysterectomy for uterine fibroids. The 48 cervical cancers were from women who were treated at the Innsbruck Medical University between 1990 and 2006.