Sanghoon Lee

Geraniol inhibits prostate cancer growth by targeting cell cycle and apoptosis pathways

The progression of prostate cancer is associated with escape from cell cycle arrest and apoptosis under androgen-depleted conditions. Here, we found that geraniol, a naturally occurring monoterpene, induces cell cycle arrest and apoptosis in cultured cells and tumor grafted mice using PC-3 prostate cancer cells. Geraniol modulated the expression of various cell cycle regulators and Bcl-2 family proteins in PC-3 cells in vitro and in vivo. Furthermore, we showed that the combination of sub-optimal doses of geraniol and docetaxel noticeably suppresses prostate cancer growth in cultured cells and tumor xenograft mice. Therefore, our findings provide insight into unraveling the mechanisms underlying escape from cell cycle arrest and apoptosis and developing therapeutic strategies against prostate cancer.

Geraniol induces cooperative interaction of apoptosis and autophagy to elicit cell death in PC-3 prostate cancer cells

Geraniol, an acyclic dietary monoterpene, suppresses prostate cancer growth and enhances docetaxel chemosensitivity in cultured cell or xenograft tumor models. However, the mechanisms of the geraniol action against prostate cancer are largely unknown. In this study, we investigated the cellular and molecular mechanisms of geraniol-induced cell death in PC-3 prostate cancer cells. Among the examined structurally and functionally similar monoterpenes, geraniol potently induced apoptosis and autophagy. Although independent processes, apoptosis and autophagy acted as cooperative partners to elicit geraniol-induced cell death in PC-3 cells. At a molecular level, geraniol inhibited AKT signaling and activated AMPK signaling, resulting in mTOR inhibition. Combined treatment of AKT inhibitor and AMPK activator markedly suppressed cell growth compared to either treatment alone. Our findings provide insight into future investigations that are aimed at elucidating the role of apoptosis and autophagy in prostate cancer therapy and at developing anticancer strategies co-targeting AKT and AMPK.

Global Analysis of Plasma Lipids Identifies Liver-Derived Acylcarnitines as a Fuel Source for Brown Fat Thermogenesis

Cold-induced thermogenesis is an energy-demanding process that protects endotherms against a reduction in ambient temperature. Using non-targeted liquid chromatography-mass spectrometry-based lipidomics, we identified elevated levels of plasma acylcarnitines in response to the cold. We found that the liver undergoes a metabolic switch to provide fuel for brown fat thermogenesis by producing acylcarnitines. Cold stimulates white adipocytes to release free fatty acids that activate the nuclear receptor HNF4α, which is required for acylcarnitine production in the liver and adaptive thermogenesis. Once in circulation, acylcarnitines are transported to brown adipose tissue, while uptake into white adipose tissue and liver is blocked. Finally, a bolus of L-carnitine or palmitoylcarnitine rescues the cold sensitivity seen with aging. Our data highlight an elegant mechanism whereby white adipose tissue provides long-chain fatty acids for hepatic carnitilation to generate plasma acylcarnitines as a fuel source for peripheral tissues in mice.

Icilin inhibits E2F1-mediated cell cycle regulatory programs in prostate cancer.

Aberrant expression of cell cycle regulators have been implicated in prostate cancer development and progression. Therefore, understanding transcriptional networks controlling the cell cycle remain a challenge in the development of prostate cancer treatment. In this study, we found that icilin, a super-cooling agent, down-regulated the expression of cell cycle signature genes and caused G1 arrest in PC-3 prostate cancer cells. With reverse-engineering and an unbiased interrogation of a prostate cancer-specific regulatory network, master regulator analysis discovered that icilin affected cell cycle-related transcriptional modules and identified E2F1 transcription factor as a target master regulator of icilin. Experimental analyses confirmed that icilin reduced the activity and expression levels of E2F1. These results demonstrated that icilin inactivates a small regulatory module controlling the cell cycle in prostate cancer cells. Our study might provide insight into the development of cell cycle-targeted cancer therapeutics.

Menthol induces cell-cycle arrest in PC-3 cells by down-regulating G2/M genes, including polo-like kinase 1.

Menthol, a naturally occurring monoterpene, is used in foods, cosmetic products, and topical therapeutic preparations. It also exerts cytotoxic activity against several cancer cell types, including prostate cancer cells. However, little is known about the mechanism of menthol action against prostate cancer cells. In this study, we investigated the effect of menthol on the gene expression profile of PC-3 prostate cancer cells using DNA microarray analyses. Gene set enrichment analysis revealed that menthol primarily affects the expression of cell cycle-related genes. Subsequent experimental analyses validated that menthol induces G2/M arrest. Particularly, menthol markedly down-regulated polo-like kinase 1 (PLK1), a key regulator of G2/M phase progression and inhibited its downstream signaling. Our computational analyses and experimental validation provide a basis for future investigations that are aimed at elucidating the action of menthol on cell cycle control in prostate cancer cells.

Geraniol suppresses prostate cancer growth through down‐regulation of E2F8

Geraniol, an acyclic dietary monoterpene, has been found to suppress cancer survival and growth. However, the molecular mechanism underlying the antitumor action of geraniol has not been investigated at the genome‐wide level. In this study, we analyzed the microarray data obtained from geraniol‐treated prostate cancer cells. Geraniol potently altered a gene expression profile and primarily down‐regulated cell cycle‐related gene signatures, compared to linalool, another structurally similar monoterpene that induces no apparent phenotypic changes. Master regulator analysis using the prostate cancer‐specific regulatory interactome identified that the transcription factor E2F8 as a specific target molecule regulates geraniol‐specific cell cycle signatures. Subsequent experiments confirmed that geraniol down‐regulated E2F8 expression and the knockdown of E2F8 was sufficient to suppress cell growth by inducing G2/M arrest. Epidemiological analysis showed that E2F8 is up‐regulated in metastatic prostate cancer and associated with poor prognosis. These results indicate that E2F8 is a crucial transcription regulator controlling cell cycle and survival in prostate cancer cells. Therefore, our study provides insight into the role of E2F8 in prostate cancer biology and therapeutics.

TGFβ1 induces stress fiber formation through upregulation of TRPC6 in vascular smooth muscle cells.

Aberrant transforming growth factor β1 (TGFβ1) signaling plays a crucial role in the pathogenesis of vascular fibrosis. On the other hand, deregulated transient receptor potential canonical 6 (TRPC6) channel expression shows impaired vascular physiology and wound healing. However, it has little been known about the functional association between TGFβ1 and TRPC6 in vascular smooth muscle cells (VSMCs). In this study, we analyzed the microarray data obtained from TGFβ1-treated A7r5 VSMCs. We found that TGFβ1 specifically elevates the expression level of TRPC6 mainly through Smad-dependent canonical pathway. The siRNA against TRPC6 abolished TGFβ1-induced molecular and cellular phenotype changes, including myosin light chain phosphorylation, actin stress fiber formation, and cell migration. These results demonstrate that TRPC6 is an important component of TGFβ1 signaling pathway in VSMCs. Therefore, our findings provide a basis for future investigation aimed at developing novel therapeutic strategies for treatment of vascular fibrosis.

Gene expression profile comparison in the penile tissue of diabetes and cavernous nerve injury-induced erectile dysfunction rat model

Purpose To investigate the effects of cavernous nerve injury (CNI) on gene expression profiles in the cavernosal tissue of a CNI-induced erectile dysfunction (ED) model and to provide a basis for future investigations to discover potential target genes for ED treatment. Materials and Methods Young adult rats were divided randomly into 2 groups: sham operation and bilateral CN resection. At 12 weeks after CNI we measured erectile responses and performed microarray experiments and gene set enrichment analysis to reveal gene signatures that were enriched in the CNI-induced ED model. Alterations in gene signatures were compared with those in the diabetes-induced ED model. The diabetic-induced ED data is taken from GSE2457. Results The mean ratio of intracavernosal pressure/blood pressure for the CNI group (0.54±0.4 cmH2O) was significantly lower than that in the sham operation group (0.73±0.8 cmH2O, p<0.05). Supervised and unsupervised clustering analysis showed that the diabetes- and CNI-induced ED cavernous tissues had different gene expression profiles from normal cavernous tissues. We identified 46 genes that were upregulated and 77 genes that were downregulated in both the CNI- and diabetes-induced ED models. Conclusions Our genome-wide and computational studies provide the groundwork for understanding complex mechanisms and molecular signature changes in ED.

Robust meta-analysis shows that glioma transcriptional subtyping complements traditional approaches

BackgroundGliomas traditionally have been sub-classified based on histopathological observations. However, this approach is subject to inter-observer variability, and histopathological features may not reflect the biological mechanisms that drive tumor growth. High-throughput transcriptional profiling has shown promise in objectively and reproducibly identifying glioma subtypes. Most prior studies have typically used only modest sample sizes and have sometimes overlooked important data-processing steps to ensure sample quality and to evaluate the robustness of quantitative findings. The purpose of our study was to define robust glioma subtypes by applying rigorous preprocessing and validation steps to 1,952 microarray samples aggregated from 16 prior studies. This data set is the most comprehensive collection of glioma microarray samples compiled to date.Methods and resultsWe evaluated each sample for quality-control issues, corrected for probe-composition biases, and adjusted for intra- and inter-study batch effects. Using a training/testing validation design that simulates a “bench-to-bedside process,” we identified six transcriptional subtypes that contained a heterogeneous mix of histopathological subtypes and tumor grades. Similar to prior studies, age, survival and treatment patterns differed significantly across the transcriptional subtypes. However, due to our large sample size, we also observed that within a given histopathological subtype, our transcriptional subtypes provided additional prognostic value. Lastly, we used a pathway-based approach to elucidate the biological mechanisms associated with each subtype.ConclusionsOur findings provide clinical and biological insights that may not be apparent with alternative approaches or smaller data sets, and our approach serves as an example for meta-analyses that can be applied to other complex diseases.

Altitudinal range-size distribution of breeding birds and environmental factors for the determination of species richness: An empirical test of altitudinal Rapoport’s rule and rescue effect on a local scale

Range-size distributions are important for understanding species richness patterns and led to the development of the controversial Rapoport’s rule and Rapoport-rescue effect. This study aimed to understand the relationship between species richness and range-size distribution in relation to environmental factors. The present study tested the following: (1) altitudinal Rapoport’s rule, (2) climatic and ambient energy hypotheses, (3) non-directional rescue effect, and (4) effect of environmental factors on range-size group. Altitudinal species range-size distribution increased with increasing altitude and showed a negative relationship with climatic variables and habitat heterogeneity, and a positive relationship with primary productivity. These results support the altitudinal Rapoport’s rule and climatic hypothesis; however, they do not fully support the ambient energy hypothesis. Results from testing the non-directional rescue effect showed that the inflow intensity of species from both directions (high and low elevations) affected species richness. And we found that the 2nd and 3rd quartile species distribution were the main cause of a mid-peak of species richness and the non-directional rescue effect. Additionally, the 2nd quartile species richness was highly related to minimum temperature and possessed thermal specialist species features, and the 3rd quartile species richness was highly related to habitat heterogeneity and primary productivity. Although altitudinal range-size distribution results were similar to the altitudinal Rapoport’s rule, the mid-peak pattern of species richness could not be explained by the Rapoport’s-rescue effect; however, the non-directional rescue effect could explain a mid-peak pattern of species richness.