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Donkena, Krishna Vanaja

Mayo Clinic

Mayo Clinic

Citations 10

Whole Blood mRNA Expression-Based Prognosis of Metastatic Renal Cell Carcinoma
Giridhar, Karthik V. , Sosa, Carlos, Sanhueza, Cristobal T., Dalpiaz, Candace Lee, Costello, Brian A. , Pitot, Henry C., Dronca, Roxana , Ertz, Donna, Cheville, John C. , Donkena, Krishna Vanaja, Sosa, Carlos P., Hillman, David W. , Sanhueza, Cristobal, Dalpiaz, Candace L, Quevedo, Fernando J, Dronca, Roxana S., Kohli, Manish , Giridhar, Karthik V , Quevedo, Fernando

International Journal of Molecular Sciences | November 3, 2017 | Volume: 18 | Issue: 11 | Pages: 2326

10.3390/ijms18112326 Get It

The Memorial Sloan Kettering Cancer Center (MSKCC) prognostic score is based on clinical parameters. We analyzed whole blood mRNA expression in metastatic clear cell renal cell carcinoma (mCCRCC) patients and compared it to the MSKCC score for predicting overall survival. In a discovery set of 19 patients with mRCC, we performed whole transcriptome RNA sequencing and selected eighteen candidate genes for further evaluation based on associations with overall survival and statistical significance. In an independent validation of set of 47 patients with mCCRCC, transcript expression of the 18 candidate genes were quantified using a customized NanoString probeset. Cox regression multivariate analysis confirmed that two of the candidate genes were significantly associated with overall survival. Higher expression of BAG1 [hazard ratio (HR) of 0.14, p < 0.0001, 95% confidence interval (CI) 0.04–0.36] and NOP56 (HR 0.13, p < 0.0001, 95% CI 0.05–0.34) were associated with better prognosis. A prognostic model incorporating expression of BAG1 and NOP56 into the MSKCC score improved prognostication significantly over a model using the MSKCC prognostic score only (p < 0.0001). Prognostic value of using whole blood mRNA gene profiling in mCCRCC is feasible and should be prospectively confirmed in larger studies.
Whole blood mRNA expression for prognosis of metastatic clear cell renal carcinoma (mCCRCC).
Sosa, Carlos, Dalpiaz, Candace Lee, Costello, Brian A. , Pitot, Henry C., Dronca, Roxana , Ertz, Donna, Cheville, John C. , Donkena, Krishna Vanaja, Giridhar, Karthik V. , Hillman, David W. , Quevedo, Fernando , Kohli, Manish

Journal of Clinical Oncology | March 29, 2017 | Volume: 35 | Issue: 6_suppl | Pages: 500-500

10.1200/jco.2017.35.6_suppl.500 Get It

500 Background: The Memorial Sloan Kettering Cancer Center (MSKCC) prognostic score is based on clinical parameters and has several limitations. We analyzed whole blood mRNA expression in mCCRCC patients (pts) and compared it to MSKCC for predicting overall survival (OS). Methods: A prospective collection of whole blood in PAXgene RNA tubes from mCCRCC pts was performed between 2011 and 2015 with uniform processing. A discovery set (DS) of 19 randomly selected pt samples was used to generate whole transcriptome RNA sequencing and signatures describing differential gene expression patterns associated with OS. We calculated the fragment per kilobase of transcript per million (FPKM) of each transcript and gene to identify correlations between the differentially expressed genes and MSKCC score. Candidate genes were selected based on statistical significance (p<0.05) and associations with OS. In an independent validation set (VS) of 47 pts with mCCRCC, we used the nCounter Analysis System (NanoString Technologies, Seattle, WA, USA) to quantify gene transcript expression selected from the DS. Cox regression and Kaplan-Meier analysis were used for association of candidate mRNAs in the VS with OS (time of metastatic recurrence to death or last follow-up). We compared our gene signature to the MSKCC prognostic score for poor versus good survival. Results: In the DS, at a median follow-up of 4.13 years (yrs) (range: 1.3-4.5), 11 patients had died. We identified eighteen genes in the DS with statistically significant differential gene expression patterns and ability to discriminate patient OS. In the VS at a median follow-up of 4.9 yrs (range: 0.1-11.3), twenty-five patients had died. We confirmed two of the eighteen selected genes that had strong prognostic significance: BAG1 [hazard ratio (HR) 0.31, p=0.007] and NOP56 [HR 0.28, p=0.004]. Comparing OS between good and poor outcome groups for these 2 scores, our two-gene panel had higher prognostic ability (HR 20.07, p <0.0001) than the MSKCC prognostic score (HR 3.19, p 0.04). Conclusions: Prognostic value of using whole blood mRNA gene profiling in mCCRCC is feasible and should be prospectively confirmed in larger studies.
Preclinical Evaluation of the Supercritical Extract of Azadirachta Indica (Neem) Leaves In Vitro and In Vivo on Inh
Bergen, H. Robert, Cheville, John C. , Karnes, R. Jeffrey , Cao, Hong , Tindall, Donald J., McNiven, Mark A. , Donkena, Krishna Vanaja, Wu, Qiang , Kohli, Manish , Young, Charles Y.F.

Molecular Cancer Therapeutics | March 28, 2014 | Volume: 13 | Issue: 5 | Pages: 1067-1077

10.1158/1535-7163.mct-13-0699 Get It

Abstract Azadirachta indica, commonly known as neem, has gained worldwide prominence because of its medical properties, namely antitumor, antiviral, anti-inflammatory, antihyperglycemic, antifungal, and antibacterial activities. Despite these promising results, gaps remain in our understanding of the molecular mechanism of action of neem compounds and their potential for use in clinical trials. We investigated supercritical extract of neem leaves (SENL) for the following: molecular targets in vitro, in vivo efficacy to inhibit tumor growth, and bioactive compounds that exert antitumor activity. Treatment of LNCaP-luc2 prostate cancer cells with SENL suppressed dihydrotestosterone-induced androgen receptor and prostate-specific antigen levels. SENL inhibited integrin β1, calreticulin, and focal adhesion kinase activation in LNCaP-luc2 and PC3 prostate cancer cells. Oral administration of SENL significantly reduced LNCaP-luc2 xenograft tumor growth in mice with the formation of hyalinized fibrous tumor tissue, reduction in the prostate-specific antigen, and increase in AKR1C2 levels. To identify the active anticancer compounds, we fractionated SENL by high-pressure liquid chromatography and evaluated 16 peaks for cytotoxic activity. Four of the 16 peaks exhibited significant cytotoxic activity against prostate cancer cells. Mass spectrometry of the isolated peaks suggested the compounds with cytotoxic activity were nimbandiol, nimbolide, 2′,3′-dihydronimbolide, and 28-deoxonimbolide. Analysis of tumor tissue and plasma samples from mice treated with SENL indicated 28-deoxonimbolide and nimbolide as the bioactive compounds. Overall, our data revealed the bioactive compounds in SENL and suggested that the anticancer activity could be mediated through alteration in androgen receptor and calreticulin levels in prostate cancer. Mol Cancer Ther; 13(5); 1067–77. ©2014 AACR.
Abstract 2318: Azadirachta indica leaf extract attenuates angiogenesis in endothelial cells
Mahapatra, Saswati , Tindall, Donald J., Donkena, Krishna Vanaja, Young, Charles Y.F.

Cancer Research | August 9, 2012 | Volume: 72 | Issue: 8_Supplement | Pages: 2318-2318

10.1158/1538-7445.am2012-2318 Get It

Abstract Azadirachta indica (common name: neem) leaves have been found to possess immunomodulatory, anti-inflammatory and anti-carcinogenic properties. Neem leaves contain multiple bioactive compounds that could target multiple signaling pathways dysregulated in cancer. The present study evaluates anti-angiogenic potential of ethanol extract of neem leaves (EENL) in human umbilical vein endothelial cells (HUVECs). Treatment of HUVECs with EENL inhibited VEGF induced angiogenic response, assessed by the formation of tubes in vitro and the formation of vascular structure in the angioreactor in vivo. The in vitro proliferation, invasion and migration of HUVECs were suppressed with EENL. Nuclear fragmentation and abnormally small mitochondria with dilated cristae were observed in EENL treated HUVECs by transmission electron microscopy. Genome-wide mRNA expression profiling after treatment with EENL revealed differentially regulated genes. Expression changes for the 30 up-regulated and 30 down-regulated genes were validated by quantitative real-time polymerase chain reaction. Additionally, increase in the expression of HMOX1, ATF3 and EGR1 proteins were determined by immunoblotting. Analysis of the compounds in the EENL by mass spectrometry with mobile phase containing sodium acetate suggests the presence of nimbolide, 2′, 3′-dehydrosalannol, 6-desacetyl nimbinene and nimolinone. We further confirmed antiproliferative activity of nimbolide and 2′, 3′-dehydrosalannol in HUVECs. Our results suggest that EENL by regulating the genes involved in cellular development and cell death functions could control cell proliferation, attenuate the stimulatory effects of VEGF and exert antiangiogenic effects. EENL treatment could have a potential therapeutic role during cancer progression. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2318. doi:1538-7445.AM2012-2318
Abstract 109: DNA methylation profiling associated with recurrence of prostate cancer
Donkena, Krishna Vanaja, Klee, Eric W. , Klee, George G., Tindall, Donald J., Blute, Michael L., Young, Charles Y.F.

Cancer Research | June 27, 2012 | Volume: 71 | Issue: 8_Supplement | Pages: 109-109

10.1158/1538-7445.am2011-109 Get It

Abstract DNA methylation profiles could signify the risk of prostate cancer and predict the progression of cancer before the appearance of clinical symptoms. Specific CpG sites methylation of genes identified in our study could be used to improve the sensitivity and specificity for early diagnosis and to predict the risk of prostate cancer recurrence. To identify methylation changes associated with prostate cancer, we measured gene methylation using the Infinium Human Methylation27 bead chips. Tissue DNA isolation and bisulfite conversion was done using ZR Genomic DNA kit and EZ methylation kit. The methylation27 microarrays was used to analyze methylation of 27,578 CpG sites of 14,495 genes in 198 tumor tissues and 40 matched normal tissues. Methylation data was processed using the Genome Studio software, differentially methylated genes identified using one-way analysis of variance, and correction for multiple testing done using the false discovery rate q-value. To identify putative diagnostic and prognostic biomarkers we performed four subgroup comparisons: tumor vs. matched normal, recurrent tumors vs. non-recurrent tumors, clinical recurrence vs. biochemical recurrence, and systemic recurrence vs. local recurrence. Clinicopathological and molecular features including patient preoperative PSA levels, Gelason score, TNM stage, GPSM, recurrence type, were also evaluated for subgroup discrimination. Discriminative subgroup candidate methlyation markers were selected using a p value &lt;0.05 and a mean difference between two contrast groups &gt;0.05. Between the tumor and matched normal tissue samples, 164 CpG sites representing 147 genes were identified as significantly differentially methylated (p&lt;9.99E-25, fold change&gt;2.0). Between recurrent tumor and non-recurrent tumor tissues there were 78 CpG sites representing 75 genes that were significantly differentially methylated (p &lt;0.002, fold change &gt;1.5). Between clinically recurrent and biochemically recurrent tumors, 16 CpG sites representing 16 genes were significantly differentially methylated (p &lt;0.05, fold change &gt;1.5). Between systemic recurrent and local recurrent tumors there were 73 CpG sites representing 68 genes that were significantly differentially methylated (p &lt;0.01, fold change &gt;1.5) Our analysis revealed differential methylation of the genes, implicating their role in prostate cancer development and progression. We demonstrated that the hypermethylation of genes could be used as a sensitive molecular tool in detection of prostate tumorigenesis and prediction of tumor progression. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 109. doi:10.1158/1538-7445.AM2011-109
Global Methylation Profiling for Risk Prediction of Prostate Cancer
Mahapatra, Saswati , Klee, Eric W. , Sun, Zhifu , Jiménez, Rafael E. , Klee, George G., Tindall, Donald J., Donkena, Krishna Vanaja, Young, Charles Y.F. , Sun, Zhifu

Clinical Cancer Research | May 15, 2012 | Volume: 18 | Issue: 10 | Pages: 2882-2895

10.1158/1078-0432.ccr-11-2090 Get It

Abstract Purpose: The aim of this study was to investigate the promoter hypermethylation as diagnostic markers to detect malignant prostate cells and as prognostic markers to predict the clinical recurrence of prostate cancer. Experimental Design: DNA was isolated from prostate cancer and normal adjacent tissues. After bisulfite conversion, methylation of 14,495 genes was evaluated using the Methylation27 microarrays in 238 prostate tissues. We analyzed methylation profiles in four different groups: (i) tumor (n = 198) versus matched normal tissues (n = 40), (ii) recurrence (n = 123) versus nonrecurrence (n = 75), (iii) clinical recurrence (n = 80) versus biochemical recurrence (n = 43), and (iv) systemic recurrence (n = 36) versus local recurrence (n = 44). Group 1, 2, 3, and 4 genes signifying biomarkers for diagnosis, prediction of recurrence, clinical recurrence, and systemic progression were determined. Univariate and multivariate analyses were conducted to predict risk of recurrence. We validated the methylation of genes in 20 independent tissues representing each group by pyrosequencing. Results: Microarray analysis revealed significant methylation of genes in four different groups of prostate cancer tissues. The sensitivity and specificity of methylation for 25 genes from 1, 2, and 4 groups and 7 from group 3 were shown. Validation of genes by pyrosequencing from group 1 (GSTP1, HIF3A, HAAO, and RARβ), group 2 (CRIP1, FLNC, RASGRF2, RUNX3, and HS3ST2), group 3 (PHLDA3, RASGRF2, and TNFRSF10D), and group 4 (BCL11B, POU3F3, and RASGRF2) confirmed the microarray results. Conclusions: Our study provides a global assessment of DNA methylation in prostate cancer and identifies the significance of genes as diagnostic and progression biomarkers of prostate cancer. Clin Cancer Res; 18(10); 2882–95. ©2012 AACR.
Antiangiogenic Effects and Therapeutic Targets ofAzadirachta indicaLeaf Extract in Endothelial Cells
Mahapatra, Saswati , Karnes, R. Jeffrey , Klee, Eric W. , Tindall, Donald J., Donkena, Krishna Vanaja, Young, Charles Y.F. , Kohli, Manish , Holmes, Michael W.R.

Evidence-Based Complementary and Alternative Medicine | February 22, 2012 | Volume: 2012 | Issue: No issue available | Pages: 1-14

10.1155/2012/303019 Get It

Azadirachta indica(common name: neem) leaves have been found to possess immunomodulatory, anti-inflammatory and anti-carcinogenic properties. The present study evaluates anti-angiogenic potential of ethanol extract of neem leaves (EENL) in human umbilical vein endothelial cells (HUVECs). Treatment of HUVECs with EENL inhibited VEGF induced angiogenic responsein vitroandin vivo. Thein vitroproliferation, invasion and migration of HUVECs were suppressed with EENL. Nuclear fragmentation and abnormally small mitochondria with dilated cristae were observed in EENL treated HUVECs by transmission electron microscopy. Genome-wide mRNA expression profiling after treatment with EENL revealed differentially regulated genes. Expression changes of the genes were validated by quantitative real-time polymerase chain reaction. Additionally, increase in the expression of HMOX1, ATF3 and EGR1 proteins were determined by immunoblotting. Analysis of the compounds in the EENL by mass spectrometry suggests the presence of nimbolide, 2′,3′-dehydrosalannol, 6-desacetyl nimbinene and nimolinone. We further confirmed antiproliferative activity of nimbolide and 2′,3′-dehydrosalannol in HUVECs. Our results suggest that EENL by regulating the genes involved in cellular development and cell death functions could control cell proliferation, attenuate the stimulatory effects of VEGF and exert antiangiogenic effects. EENL treatment could have a potential therapeutic role during cancer progression.
Vitamin D, Sunlight and Prostate Cancer Risk
Donkena, Krishna Vanaja, Young, Charles Y.F.

Advances in Preventive Medicine | June 8, 2011 | Volume: 2011 | Issue: No issue available | Pages: 1-13

10.4061/2011/281863 Get It

Prostate cancer is the second common cancer in men worldwide. The prevention of prostate cancer remains a challenge to researchers and clinicians. Here, we review the relationship of vitamin D and sunlight to prostate cancer risk. Ultraviolet radiation of the sunlight is the main stimulator for vitamin D production in humans. Vitamin D's antiprostate cancer activities may be involved in the actions through the pathways mediated by vitamin D metabolites, vitamin D metabolizing enzymes, vitamin D receptor (VDR), and VDR-regulated genes. Although laboratory studies including the use of animal models have shown that vitamin D has antiprostate cancer properties, whether it can effectively prevent the development and/or progression of prostate cancer in humans remains to be inconclusive and an intensively studied subject. This review will provide up-to-date information regarding the recent outcomes of laboratory and epidemiology studies on the effects of vitamin D on prostate cancer prevention.
Abstract 4950: Correlation of methylation status with expression levels of the genes in prostate cancer
Klee, Eric W. , Blute, Michael L., Young, Charles YF, Tindall, Donald J., Klee, George G., Donkena, Krishna Vanaja

Cancer Research | February 25, 2011 | Volume: 70 | Issue: 8_Supplement | Pages: 4950-4950

10.1158/1538-7445.am10-4950 Get It

Abstract DNA methylation abnormalities, either gain or loss of methylation in promoters or other regulatory regions, contribute to tumorigenesis by altering the activity of tumor suppressor or oncogenes. To identify the molecular alterations in prostate cancer, we have profiled gene methylation using Infinium Human Methylation27 bead chips in benign prostate tissue, primary prostate tumor tissue from patients who developed metastasis within 5 years of prostatectomy, and serum from patients who developed metastasis. Tissue DNA isolation and bisulfite conversion was done using ZR Genomic DNA kit and EZ methylation kit. Serum DNA isolation and bisulfite conversion was done using ZR serum DNA kit and EZ methylation kit. Methylation data was processed using the Beadstudio average normalization algorithm and differentially methylated genes identified using a two-group T-test p-value &lt; 0.05. To evaluate the impact of methylation on mRNA expression levels, we isolated RNA from LCM-derived epithelial cells of 124 patients using Picopure RNA isolation kit and measured expression using HG-U133+2 microarrays. The gene expression data was preprocessed using GCRMA background correction, FASTLO normalization, affinities-only PM correction, and median polish summarization, and differential gene expression was defined by a two-group T-test p-value &lt; 0.05, a log2 fold change &gt; 1, and a maximum average expression value &gt; log2 7. Comparison of the methylation and gene expression data identified 321 differentially expressed Affymetrix probesets which mapped to genes differentially methylated genes; 272 with differential methylation in the prostate cancer tissue and 97 with differential methylation in the prostate cancer serum. In general, we expected a complementary effect between gene methylation and expression, with hyper-methylation driving decreased expression, and hypo-methylation driving increased expression. This was seen in the prostate cancer tissue methylation data, where 228/272 (84%) probesets possessed this methylation-expression complementarity; 212/238 hyper-methylated genes and 16/34 hypo-methylated genes. The effect was not as strong in the prostate cancer serum methylation data, where 30/97 (31%) probesets displayed the methylation-expression complementarity; 19/79 hyper-methylated genes and 11/18 hypo-methylated genes. Overall, our results revealed a significant correlation of the DNA methylation with the down regulation in the mRNA expression levels of the genes, which could play potential roles in prostate cancer progression. Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4950.
Vitamins and Prostate Cancer Risk
Donkena, Krishna Vanaja, Karnes, R. Jeffrey , Young, Charles Y.F.

Molecules | March 14, 2010 | Volume: 15 | Issue: 3 | Pages: 1762-1783

10.3390/molecules15031762 Get It

Prostate cancer (PC) is the second most common cancer in men worldwide. Its prevention and treatment remain a challenge to clinicians. Here we review the relationship of vitamins to PC risk. Many vitamins and related chemicals, including vitamin A, retinoids, several B vitamins, vitamin C, vitamin D and vitamin E have shown their anti-cancer activities as anti-oxidants, activators of transcription factors or factors influencing epigenetic events. Although laboratory tests including the use of animal models showed these vitamins may have anti-PC properties, whether they can effectively prevent the development and/or progression of PC in humans remains to be intensively studied subjects. This review will provide up-to-date information regarding the recent outcomes of laboratory, epidemiology and/or clinical trials on the effects of vitamins on PC prevention and/or treatment.