Unraveling autocrine signaling pathways through metabolic fingerprinting in serous ovarian cancer cells

Focusing on defining metabolite-based inter-tumoral heterogeneity in ovarian cancer, we investigated the metabolic diversity of a panel of high-grade serous ovarian carcinoma (HGSOC) cell-lines using a metabolomics platform that interrogate 731 compounds. Metabolic fingerprinting followed by 2-dimensional and 3-dimensional principal component analysis established the heterogeneity of the HGSOC cells by clustering them into five distinct metabolic groups compared to the fallopian tube epithelial cell line control. An overall increase in the metabolites associated with aerobic glycolysis and phospholipid metabolism were observed in the majority of the cancer cells. A preponderant increase in the levels of metabolites involved in trans-sulphuration and glutathione synthesis was also observed. More significantly, subsets of HGSOC cells showed an increase in the levels of 5-Hydroxytryptamine, γ-aminobutyrate, or glutamate. Additionally, 5-hydroxytryptamin synthesis inhibitor as well as antagonists of γ-aminobutyrate and glutamate receptors prohibited the proliferation of HGSOC cells, pointing to their potential roles as oncometabolites and ligands for receptor-mediated autocrine signaling in cancer cells. Consistent with this role, 5-Hydroxytryptamine synthesis inhibitor as well as receptor antagonists of γ-aminobutyrate and Glutamate-receptors inhibited the proliferation of HGSOC cells. These antagonists also inhibited the three-dimensional spheroid growth of TYKNU cells, a representative HGSOC cell-line. These results identify 5-HT, GABA, and Glutamate as putative oncometabolites in ovarian cancer metabolic sub-type and point to them as therapeutic targets in a metabolomic fingerprinting-based therapeutic strategy

Topical rapamycin reduces markers of senescence and aging in human skin: an exploratory, prospective, randomized trial

Aging is a major risk factor for the majority of human diseases, and the development of interventions to reduce the intrinsic rate of aging is expected to reduce the risk for age-related diseases including cardiovascular disease, cancer, and dementia. In the skin, aging manifests itself in photodamage and dermal atrophy, with underlying tissue reduction and impaired barrier function. To determine whether rapamycin, an FDA-approved drug targeting the mechanistic target of rapamycin (mTOR) complex, can reduce senescence and markers of aging in human skin, an exploratory, placebo-controlled, interventional trial was conducted in a clinical dermatology setting. Participants were greater than 40 years of age with evidence of age-related photoaging and dermal volume loss and no major morbidities. Thirty-six participants were enrolled in the study, and nineteen discontinued or were lost to follow-up. A significant (P = 0.008) reduction in p16INK4A protein levels and an increase in collagen VII protein levels (P = 0.0077) were observed among participants at the end of the study. Clinical improvement in skin appearance was noted in multiple participants, and immunohistochemical analysis revealed improvement in histological appearance of skin tissue. Topical rapamycin reduced the expression of the p16INK4A protein consistent with a reduction in cellular senescence. This change was accompanied by relative improvement in clinical appearance of the skin and histological markers of aging and by an increase in collagen VII, which is critical to the integrity of the basement membrane. These results indicate that rapamycin treatment is a potential anti-aging therapy with efficacy in humans. Trial registration ClinicalTrials.gov Identifier: NCT03103893

High Throughput Isolation and Expansion of Circulating Tumor Cells (CTCs) from Non-Small Cell Lung Cancer (NSCLC) Patients for Personalized Treatments

Background: Circulating tumor cells (CTCs) have emerged as important blood-based surrogate markers of primary tumors. Current methods for isolation of lung CTCs mostly rely on biomarker dependent antibody-based capture, missing populations that may be stem-like in nature. Results: We have applied the microfluidic Labyrinth device for high throughput, label-free, size-based isolation of CTCs from non-small cell lung cancer patients (NSCLC). The Labyrinth device was optimized and tested for inertial separation of cancer cells using the human lung cancer cell line H1650. The recovery and purity were \u3e82% and \u3e78%, respectively, operating at a flow rate of 2.5 mL/min. Using the biomarker-independent Labyrinth separation device, heterogeneous CTC populations were isolated from metastatic NSCLC patients (n=21). Heterogeneous CTC populations were detected, including CTCs (PanCK+ and CD45-), CTCs expressing EpCAM or Vimentin, and CTCs expressing both markers representing an EMT-like population of CTCs. Using Labyrinth, we were able to isolate CTCs from 100% of patients with an average yield of 180±168 CTCs/mL. Among the captured CTCs, EpCAM- CTCs were significantly more common than EpCAM+ CTCs (115.7 vs. 39.1 CTCs/mL respectively). Cell clusters of 2 or more CTCs were also observed in 95% of patients; 79% of these clusters were negative for EpCAM expression, whereas 35% expressed Vimentin, suggestive of an EMT phenotype. Recovered CTCs from patients with RET, ROS1 and ALK rearranged tumors showed aberrations matching with the primary tumor for each gene using FISH analysis. We have successfully expanded the recovered CTCs from 2 patients and screened for therapeutic targeting. We have found that TPX-0005 might be effective in these patients and would direct them to a clinical trial using this compound. Conclusion: The label-free Labyrinth device demonstrated the capability of collecting recovered CTCs from the device using a continuous processing technique while in a suspension state. This advantage opens the opportunities not only for CTC expansion off-chip, but also for ex-vivo drug testing to direct patient-specific therapies