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Bhat, Mohd Younis

Mayo Clinic

Institute of Bioinformatics

Citations 2

Profiling Kinase Activities for Precision Oncology in Diffuse Gastric Cancer
Singh, Smrita , Parthasarathi, Kaushik , Bhat, Mohd Younis, Gopal, Champaka, Sharma, Jyoti , Pandey, Akhilesh , Pandey, Akhilesh , Parthasarathi, K.T. Shreya

OMICS: A Journal of Integrative Biology | January 25, 2024 | Volume: 28 | Issue: 2 | Pages: 76-89

10.1089/omi.2023.0173 Get It

Gastric cancer (GC) remains a leading cause of cancer-related mortality globally. This is due to the fact that majority of the cases of GC are diagnosed at an advanced stage when the treatment options are limited and prognosis is poor. The diffuse subtype of gastric cancer (DGC) under Lauren's classification is more aggressive and usually occurs in younger patients than the intestinal subtype. The concept of personalized medicine is leading to the identification of multiple biomarkers in a large variety of cancers using different combinations of omics technologies. Proteomic changes including post-translational modifications are crucial in oncogenesis. We analyzed the phosphoproteome of DGC by using paired fresh frozen tumor and adjacent normal tissue from five patients diagnosed with DGC. We found proteins involved in the epithelial-to-mesenchymal transition (EMT), c-MYC pathway, and semaphorin pathways to be differentially phosphorylated in DGC tissues. We identified three kinases, namely, bromodomain adjacent to the zinc finger domain 1B ( BAZ1B ), WNK lysine-deficient protein kinase 1 ( WNK1 ), and myosin light-chain kinase ( MLCK ) to be hyperphosphorylated, and one kinase, AP2-associated protein kinase 1 ( AAK1 ), to be hypophosphorylated. LMNA hyperphosphorylation at serine 392 (S392) was demonstrated in DGC using immunohistochemistry. Importantly, we have detected heparin-binding growth factor ( HDGF ), heat shock protein 90 ( HSP90 ), and FTH1 as potential therapeutic targets in DGC, as drugs targeting these proteins are currently under investigation in clinical trials. Although these new findings need to be replicated in larger study samples, they advance our understanding of signaling alterations in DGC, which could lead to potentially novel actionable targets in GC.
Proteomic Signatures of Diffuse and Intestinal Subtypes of Gastric Cancer
Singh, Smrita , Bhat, Mohd Younis, Sathe, Gajanan , Gopal, Champaka, Sharma, Jyoti , Madugundu, Anil K. , Joshi, Neha , Pandey, Akhilesh , Pandey, Akhilesh , Pandey, Akhilesh , Singh, Smrita , Joshi, Neha S , Sathe, Gajanan

Cancers | November 28, 2021 | Volume: 13 | Issue: 23 | Pages: 5930

10.3390/cancers13235930 Get It

Gastric cancer is a leading cause of death from cancer globally. Gastric cancer is classified into intestinal, diffuse and indeterminate subtypes based on histology according to the Laurén classification. The intestinal and diffuse subtypes, although different in histology, demographics and outcomes, are still treated in the same fashion. This study was designed to discover proteomic signatures of diffuse and intestinal subtypes. Mass spectrometry-based proteomics using tandem mass tags (TMT)-based multiplexed analysis was used to identify proteins in tumor tissues from patients with diffuse or intestinal gastric cancer with adjacent normal tissue control. A total of 7448 or 4846 proteins were identified from intestinal or diffuse subtype, respectively. This quantitative mass spectrometric analysis defined a proteomic signature of differential expression across the two subtypes, which included gremlin1 (GREM1), bcl-2-associated athanogene 2 (BAG2), olfactomedin 4 (OLFM4), thyroid hormone receptor interacting protein 6 (TRIP6) and melanoma-associated antigen 9 (MAGE-A9) proteins. Although GREM1, BAG2, OLFM4, TRIP6 and MAGE-A9 have all been previously implicated in tumor progression and metastasis, they have not been linked to intestinal or diffuse subtypes of gastric cancer. Using immunohistochemical labelling of a tissue microarray comprising of 124 cases of gastric cancer, we validated the proteomic signature obtained by mass spectrometry in the discovery cohort. Our findings should help investigate the pathogenesis of these gastric cancer subtypes and potentially lead to strategies for early diagnosis and treatment.