Dysregulated Cholesterol Metabolism with Anomalous PI3K/Akt/mTOR pathway Predicts Poor Carboplatin Response in High Grade Serous Ovarian Cancer
MAHAPATRA, E.; SAHA, A.; NAG, N.; GOPE, A.; THAKUR, D.; VERNEKAR, M.; CHAKRABARTI, J.; BASU, M.; PAL, A.; SENGUPTA, S.; MUKHERJEE, S.
Show abstract
Rapidly escalating High-Grade Serous Ovarian Cancer (HGSOC) incidences, relapse, and mortalities result from failed carboplatin therapy. In this regard, reprogrammed cholesterol metabolism arising from deregulated PI3K/Akt/mTOR signaling aggravates HGSOCs to evade carboplatin. Therefore, we designed a pilot study to ascertain their clinical relevance in determining the carboplatin response of HGSOC tumors. Non-NACT HGSOC (n=31) subjects were classified into optimum, borderline, and high cohorts based on blood cholesterol levels which positively correlated with their relative tissue cholesterol content. TCGA database showed that mutations in specific PI3K/Akt/mTOR candidates including cholesterol metabolism regulators (SREBP1, SREBP2, SRB-1, STAR, HMGCR) and prosurvival effectors (Akt, mTOR, p70S6K, P38MAPK, HIF-1, COX2, VEGF) are characteristic to HGSOCs. We discerned dysregulations (expressions/activity) in SREBP2, SRB-1, STAR, and HMGCR along with Akt/pAktThr308, mTOR/pmTORSer2448, p70S6K, P38MAPK, HIF-1, COX2, and VEGF proteins within high cohort. Herein, poorly differentiated tumors with escalated HMGCR activity overproduced cholesterol thereby rigidifying their cell membranes to restrain Pt-DNA adduct retention. With a carboplatin IC50 of 5.23{micro}M, high cohort tumors generated lesser drug-induced ROS and espoused unaltered mitochondrial-membrane depolarization and DNA damage profiles. These parameters were moderately altered in the borderline-HGSOC cohort possessing relatively less rigid membranes and a lower carboplatin IC50 of 2.78{micro}M. Accordingly, borderline and high cohorts were respectively denoted as intermediate responder and non-responder of carboplatin. On the contrary, the cholesterol-deficient optimum cohort (IC50-1.59{micro}M) with fluid membranes was a carboplatin responder group. Our study established the candidature of abnormal cholesterol and PI3K/Akt/mTOR (protein-level) statuses as predictive markers to screen HGSOCs for carboplatin responses before therapy.
Matching journals
The top 13 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pan-cancer analysis of pyrimidine metabolism reveals signaling pathways connections with chemoresistance role 95%
- Imipridones inhibit tumor growth and improve survival in an orthotopic liver metastasis mouse model of human uveal melanoma 94%
- Bypassing cisplatin resistance in Nrf2 hyperactivated head and neck cancer through effective PI3Kinase targeting 93%
Similar papers in this journal
- The MEK1/2 pathway as a therapeutic target in high-grade serous ovarian carcinoma 96%
- Neutrophil extracellular trap formation correlates with improved overall survival in ovarian cancer 95%
- Synthetic lethality screening identifies FDA-approved drugs that overcome ATP7B-mediated tolerance of tumor cells to cisplatin 94%
Similar papers in this journal
- CRISPR targeting of FOXL2 c.402C>G mutation reduces malignant phenotype in granulosa tumor cells and identifies anti-tumoral compounds 95%
- RASSF1A independence and early Galectin-1 upregulation in PIK3CA induced hepatocarcinogenesis: new therapeutic venues 95%
- Comparative membrane lipidomics of hepatocellular carcinoma cells reveals diacylglycerol and ceramide as key regulators of Wnt/β-catenin signaling and tumor growth 94%
Similar papers in this journal
- Novel kinome profiling technology reveals drug treatment is patient and 2D/3D model dependent in GBM 95%
- BNIP3 upregulation characterizes cancer cell subpopulation with increased fitness and proliferation 94%
- ERK3/MAPK6 promotes triple-negative breast cancer progression through collective migration and EMT plasticity 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.