[{"id":450,"title":"A combinatorial approach towards treating cancer through Cisplatin","sha":"f1f40bd0249316dd9110fd9efcd4b83f","user_id":null,"state":"published","body":"Cisplatin is an effective chemotherapeutic drug against a vast variety of cancers. It is a cytotoxic drug that kills cancer cells by forming DNA adducts, thereby damaging the DNA leading to apoptosis. However, the clinical use of cisplatin is limited by severe side effects in healthy tissues with nephrotoxicity being the major issue (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756417/). The side effects are mainly due to the accumulation of cisplatin in kidney, especially when the drug is transported through organic cation transporter II expressed in the basolateral membrane of proximal tubule cells. This induces p53 which activate PUMAα (pro-apoptotic protein) in renal tubular cells which leads to renal failure due to apoptosis (https://www.hindawi.com/journals/scientifica/2012/473829/).\r\n\r\nHowever, this can be prevented by pre-treatment with QiShenYiQi pills (QSYQ), a compound in Chinese medicine which significantly decreases histological damage and cisplatin-induced increase in plasma urea levels and creatinine levels (https://www.researchgate.net/publication/321989615_QiShenYiQi_Pills_a_Compound_Chinese_Medicine_Prevented_Cisplatin_Induced_Acute_Kidney_Injury_via_Regulating_Mitochondrial_Function). Thereby we propose, a combinatorial treatment approach towards cancer through cisplatin and QSYQ, where the later can decrease the cisplatin-induced nephrotoxicity and enhance the clinical use of cisplatin chemotherapy without any side effects.\r\n","created_at":"2018-04-01T12:52:18.156Z","updated_at":"2018-04-05T06:00:49.706Z","zenodo_id":1212226,"doi":"https://doi.org/10.5281/zenodo.1212226","subject":null,"tags":["cancer research","side-effects","cisplatin","combinatorial approach"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":"AKJAS.md","attachment_content_type":"application/octet-stream","attachment_file_size":1478,"attachment_updated_at":"2018-04-01T13:02:29.198Z"},{"id":167,"title":"Systems analysis of cancer progression","sha":"7729ba2f30fb037e20e43181d6110842","user_id":479,"state":"published","body":"It is well-known that the stage of the cancer at diagnosis is significantly correlated with the survival odds of the patient, and the chances of survival fall off rapidly with the progression of cancer. Despite this, few efforts address the mechanisms of progression of the disease. Here we suggest a meta-analysis methodology for studying the progression of cancer. Cancer genome data annotated by stage and site is collected in [DriverDB] (http://ngs.ym.edu.tw/driverdb). Given the cancer of interest, the genome data for the cancer could be interrogated *stage-wise* for driver genes, which are then used to seed the construction of specialised gene networks representative of each stage of cancer. By comparative analysis of these gene networks across stages, the enrichment of genes (‘hubs’) for each stage could be statistically assessed. By subsequently validating against [Cancer Gene Census] (http://www.sanger.ac.uk/cosmic/census), we could then obtain novel stage-specific genes implicated in the progression of the cancer under study. The stage-specific gene networks could be further interrogated for driver subnetworks and pathways involved in the pathogenesis of cancer progression. Useful methods to cross-validate the results include ontology analyses with tools like [BiNGO] (http://www.psb.ugent.be/cbd/papers/BiNGO/). Such approaches to study cancer progression would yield biomarkers and drug targets helpful in improving response rates to therapy. ","created_at":"2015-05-29T09:41:35.202Z","updated_at":"2015-05-30T06:00:27.983Z","zenodo_id":30930,"doi":"http://dx.doi.org/10.5281/zenodo.18140","subject":null,"tags":["cancer research","stage of cancer","meta-analysis","systems","networks","progression of disease"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null}]