Browsing by Author "Jiang, Guanglong"

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    Charcot-Marie-Tooth gene, SBF2, associated with taxaneinduced peripheral neuropathy in African Americans
    (Impact Journals, 2016-12-13) Schneider, Bryan P.; Lai, Dongbing; Shen, Fei; Jiang, Guanglong; Radovich, Milan; Li, Lang; Gardner, Laura; Miller, Kathy D.; O’Neill, Anne; Sparano, Joseph A.; Xue, Gloria; Foroud, Tatiana; Sledge Jr., George W.; Department of Medicine, IU School of Medicine
    PURPOSE: Taxane-induced peripheral neuropathy (TIPN) is one of the most important survivorship issues for cancer patients. African Americans (AA) have previously been shown to have an increased risk for this toxicity. Germline predictive biomarkers were evaluated to help identify a priori which patients might be at extraordinarily high risk for this toxicity. EXPERIMENTAL DESIGN: Whole exome sequencing was performed using germline DNA from 213 AA patients who received a standard dose and schedule of paclitaxel in the adjuvant, randomized phase III breast cancer trial, E5103. Cases were defined as those with either grade 3-4 (n=64) or grade 2-4 (n=151) TIPN and were compared to controls (n=62) that were not reported to have experienced TIPN. We retained for analysis rare variants with a minor allele frequency <3% and which were predicted to be deleterious by protein prediction programs. A gene-based, case-control analysis using SKAT was performed to identify genes that harbored an imbalance of deleterious variants associated with increased risk of TIPN. RESULTS: Five genes had a p-value < 10-4 for grade 3-4 TIPN analysis and three genes had a p-value < 10-4 for the grade 2-4 TIPN analysis. For the grade 3-4 TIPN analysis, SET binding factor 2 (SBF2) was significantly associated with TIPN (p-value=4.35 x10-6). Five variants were predicted to be deleterious in SBF2. Inherited mutations in SBF2 have previously been associated with autosomal recessive, Type 4B2 Charcot-Marie-Tooth (CMT) disease. CONCLUSION: Rare variants in SBF2, a CMT gene, predict an increased risk of TIPN in AA patients receiving paclitaxel.
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    Clinical benefit of a precision medicine based approach for guiding treatment of refractory cancers
    (Impact Journals, 2016-08-30) Radovich, Milan; Kiel, Patrick J.; Nance, Stacy M.; Niland, Erin E.; Parsley, Megan E.; Ferguson, Meagan E.; Jiang, Guanglong; Ammakkanavar, Natraj R.; Einhorn, Lawrence H.; Cheng, Liang; Nassiri, Mehdi; Davidson, Darrell D.; Rushing, Daniel A.; Loehrer, Patrick J.; Pili, Roberto; Hanna, Nasser; Callaghan, J. Thomas; Skaar, Todd C.; Helft, Paul R.; Shahda, Safi; O’Neil, Bert H.; Schneider, Bryan P.; Medicine, School of Medicine
    Patients and methods: Patients with metastatic solid tumors who had progressed on at least one line of standard of care therapy were referred to the Indiana University Health Precision Genomics Program. Tumor samples were submitted for DNA & RNA next-generation sequencing, fluorescence in situ hybridization, and immunohistochemistry for actionable targets. A multi-disciplinary tumor board reviewed all results. For each patient, the ratio of progression-free survival (PFS) of the genomically guided line of therapy divided by the PFS of their prior line was calculated. Patients whose PFS ratio was ≥ 1.3 were deemed to have a meaningful improvement in PFS. Results: From April 2014-October 2015, 168 patients were evaluated and 101 patients achieved adequate clinical follow-up for analysis. 19 of 44 (43.2%) patients treated with genomically guided therapy attained a PFS ratio ≥ 1.3 vs. 3 of 57 (5.3%) treated with non-genomically guided therapy (p < 0.0001). Similarly, overall PFS ratios (irrespective of cutoff) were higher for patients with genomically guided therapy vs non-genomically guided therapy (p = 0.05). Further, patients treated with genomically guided therapy had a superior median PFS compared to those treated with non-genomically guided therapy (86 days vs. 49 days, p = 0.005, H.R. = 0.55, 95% C.I.:0.37-0.84). Conclusion: Patients with refractory metastatic cancer who receive genomically guided therapy have improved PFS ratios and longer median PFS compared to patients who do not receive genomically guided therapy.
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    The Combination of Low Skeletal Muscle Mass and High Tumor Interleukin-6 Associates with Decreased Survival in Clear Cell Renal Cell Carcinoma
    (MDPI, 2020-06-17) Kays, Joshua K.; Koniaris, Leonidas G.; Cooper, Caleb A.; Pili, Roberto; Jiang, Guanglong; Liu, Yunlong; Zimmers, Teresa A.; Medical and Molecular Genetics, School of Medicine
    Clear cell renal carcinoma (ccRCC) is frequently associated with cachexia which is itself associated with decreased survival and quality of life. We examined relationships among body phenotype, tumor gene expression, and survival. Demographic, clinical, computed tomography (CT) scans and tumor RNASeq for 217 ccRCC patients were acquired from the Cancer Imaging Archive and The Cancer Genome Atlas (TCGA). Skeletal muscle and fat masses measured from CT scans and tumor cytokine gene expression were compared with survival by univariate and multivariate analysis. Patients in the lowest skeletal muscle mass (SKM) quartile had significantly shorter overall survival versus the top three SKM quartiles. Patients who fell into the lowest quartiles for visceral adipose mass (VAT) and subcutaneous adipose mass (SCAT) also demonstrated significantly shorter overall survival. Multiple tumor cytokines correlated with mortality, most strongly interleukin-6 (IL-6); high IL-6 expression was associated with significantly decreased survival. The combination of low SKM/high IL-6 was associated with significantly lower overall survival compared to high SKM/low IL-6 expression (26.1 months vs. not reached; p < 0.001) and an increased risk of mortality (HR = 5.95; 95% CI = 2.86–12.38). In conclusion, tumor cytokine expression, body composition, and survival are closely related, with low SKM/high IL-6 expression portending worse prognosis in ccRCC.
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    Comprehensive comparison of molecular portraits between cell lines and tumors in breast cancer
    (BioMed Central, 2016-08-22) Jiang, Guanglong; Zhang, Shijun; Yazdanparast, Aida; Li, Meng; Pawar, Aniruddha Vikram; Liu, Yunlong; Inavolu, Sai Mounika; Cheng, Lijun; Department of Medical and Molecular Genetics, IU School of Medicine
    Background: Proper cell models for breast cancer primary tumors have long been the focal point in the cancer’s research. The genomic comparison between cell lines and tumors can investigate the similarity and dissimilarity and help to select right cell model to mimic tumor tissues to properly evaluate the drug reaction in vitro. In this paper, a comprehensive comparison in copy number variation (CNV), mutation, mRNA expression and protein expression between 68 breast cancer cell lines and 1375 primary breast tumors is conducted and presented. Results: Using whole genome expression arrays, strong correlations were observed between cells and tumors. PAM50 gene expression differentiated them into four major breast cancer subtypes: Luminal A and B, HER2amp, and Basal-like in both cells and tumors partially. Genomic CNVs patterns were observed between tumors and cells across chromosomes in general. High C > T and C > G trans-version rates were observed in both cells and tumors, while the cells had slightly higher somatic mutation rates than tumors. Clustering analysis on protein expression data can reasonably recover the breast cancer subtypes in cell lines and tumors. Although the drug-targeted proteins ER/PR and interesting mTOR/GSK3/TS2/PDK1/ER_P118 cluster had shown the consistent patterns between cells and tumor, low protein-based correlations were observed between cells and tumors. The expression consistency of mRNA verse protein between cell line and tumors reaches 0.7076. These important drug targets in breast cancer, ESR1, PGR, HER2, EGFR and AR have a high similarity in mRNA and protein variation in both tumors and cell lines. GATA3 and RP56KB1 are two promising drug targets for breast cancer. A total score developed from the four correlations among four molecular profiles suggests that cell lines, BT483, T47D and MDAMB453 have the highest similarity with tumors. Conclusions: The integrated data from across these multiple platforms demonstrates the existence of the similarity and dissimilarity of molecular features between breast cancer tumors and cell lines. The cell lines only mirror some but not all of the molecular properties of primary tumors. The study results add more evidence in selecting cell line models for breast cancer research.
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    Computational Analysis of Drought Stress-Associated miRNAs and miRNA Co-Regulation Network in Physcomitrella patens.
    (Elsevier, 2011-04) Wan, Ping; Wu, Jun; Zhou, Yuan; Xiao, Junshu; Feng, Jie; Zhao, Weizhong; Xiang, Shen; Jiang, Guanglong; Chen, Jake Y.; Department of Biohealth Informatics, IU School of Informatics and Computing
    miRNAs are non-coding small RNAs that involve diverse biological processes. Until now, little is known about their roles in plant drought resistance. Physcomitrella patens is highly tolerant to drought; however, it is not clear about the basic biology of the traits that contribute P. patens this important character. In this work, we discovered 16 drought stress-associated miRNA (DsAmR) families in P. patens through computational analysis. Due to the possible discrepancy of expression periods and tissue distributions between potential DsAmRs and their targeting genes, and the existence of false positive results in computational identification, the prediction results should be examined with further experimental validation. We also constructed an miRNA co-regulation network, and identified two network hubs, miR902a-5p and miR414, which may play important roles in regulating drought-resistance traits. We distributed our results through an online database named ppt-miRBase, which can be accessed at http://bioinfor.cnu.edu.cn/ppt_miRBase/index.php. Our methods in finding DsAmR and miRNA co-regulation network showed a new direction for identifying miRNA functions.
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    Discerning the clinical relevance of biomarkers in early stage breast cancer
    (Springer, 2017-07) Ballinger, Tarah J.; Kassem, Nawal; Shen, Fei; Jiang, Guanglong; Smith, Mary Lou; Railey, Elda; Howell, John; White, Carol B.; Schneider, Bryan P.; Department of Medicine, IU School of Medicine
    Purpose Prior data suggest that breast cancer patients accept significant toxicity for small benefit. It is unclear whether personalized estimations of risk or benefit likelihood that could be provided by biomarkers alter treatment decisions in the curative setting. Methods A choice-based conjoint (CBC) survey was conducted in 417 HER2-negative breast cancer patients who received chemotherapy in the curative setting. The survey presented pairs of treatment choices derived from common taxane- and anthracycline-based regimens, varying in degree of benefit by risk of recurrence and in toxicity profile, including peripheral neuropathy (PN) and congestive heart failure (CHF). Hypothetical biomarkers shifting benefit and toxicity risk were modeled to determine whether this knowledge alters choice. Previously identified biomarkers were evaluated using this model. Results Based on CBC analysis, a non-anthracycline regimen was the most preferred. Patients with prior PN had a similar preference for a taxane regimen as those who were PN naïve, but more dramatically shifted preference away from taxanes when PN was described as severe/irreversible. When modeled after hypothetical biomarkers, as the likelihood of PN increased, the preference for taxane-containing regimens decreased; similarly, as the likelihood of CHF increased, the preference for anthracycline regimens decreased. When evaluating validated biomarkers for PN and CHF, this knowledge did alter regimen preference. Conclusions Patients faced with multi-faceted decisions consider personal experience and perceived risk of recurrent disease. Biomarkers providing information on likelihood of toxicity risk do influence treatment choices, and patients may accept reduced benefit when faced with higher risk of toxicity in the curative setting.
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    Fatty acid desaturase 1 gene polymorphisms control human hepatic lipid composition
    (Wiley, 2015-01) Wang, Libo; Athinarayanan, Shaminie; Jiang, Guanglong; Chalasani, Naga; Zhang, Min; Liu, Wanqing; Department of Medical and Molecular Genetics, IU School of Medicine
    Fatty acid desaturase (FADS) genes and their variants have been associated with multiple metabolic phenotypes, including liver enzymes and hepatic fat accumulation, but the detailed mechanism remains unclear. We aimed to delineate the role of FADSs in modulating lipid composition in human liver. We performed a targeted lipidomic analysis of a variety of phospholipids, sphingolipids, and ceramides among 154 human liver tissue samples. The associations between previously genome-wide association studies (GWASs)-identified six FADS single-nucleotide polymorphisms (SNPs), and these lipid levels as well as total hepatic fat content (HFC) were tested. The potential function of these SNPs in regulating transcription of three FADS genes (FADS1, FADS2, and FADS3) in the locus was also investigated. We found that though these SNPs were in high linkage disequilibrium (r(2) > 0.8), the rare alleles of these SNPs were consistently and significantly associated with the accumulation of multiple long-chain fatty acids (LCFAs), with C47H85O13P (C36:4), a phosphatidylinositol (PI), and C43H80O8PN (C38:3), a phosphatidylethanolamine (PE), reached the Bonferroni corrected significance (P < 3 × 10(-4)). Meanwhile, these SNPs were significantly associated with increased ratios between the more saturated and relatively less saturated forms of LCFAs, especially between PEs, PIs, and phosphatidylcholines (PCs; P ≤ 3.5 × 10(-6)). These alleles were also associated with increased total HFC (P < 0.05). Further analyses revealed that these alleles were associated with decreased hepatic expression of FADS1 (P = 0.0018 for rs174556), but not FADS2 or FADS3 (P > 0.05). CONCLUSION: Our findings revealed critical insight into the mechanism underlying FADS1 and its polymorphisms in modulating hepatic lipid deposition by altering gene transcription and controlling lipid composition in human livers.
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    Genome-Wide Association Study for Anthracycline-Induced Congestive Heart Failure
    (American Association for Cancer Research, 2017-01-01) Schneider, Bryan P.; Shen, Fei; Gardner, Laura; Radovich, Milan; Li, Lang; Miller, Kathy D.; Jiang, Guanglong; Lai, Dongbing; O’Neill, Anne; Sparano, Joseph A.; Davidson, Nancy E.; Cameron, David; Gradus-Pizlo, Irmina; Mastouri, Ronald A.; Suter, Thomas M.; Foroud, Tatiana; Sledge, George W., Jr.; Medicine, School of Medicine
    PURPOSE: Anthracycline-induced congestive heart failure (CHF) is a rare but serious toxicity associated with this commonly employed anticancer therapy. The ability to predict which patients might be at increased risk prior to exposure would be valuable to optimally counsel risk-to-benefit ratio for each patient. Herein, we present a genome-wide approach for biomarker discovery with two validation cohorts to predict CHF from adult patients planning to receive anthracycline. EXPERIMENTAL DESIGN: We performed a genome-wide association study in 3,431 patients from the randomized phase III adjuvant breast cancer trial E5103 to identify single nucleotide polymorphism (SNP) genotypes associated with an increased risk of anthracycline-induced CHF. We further attempted candidate validation in two independent phase III adjuvant trials, E1199 and BEATRICE. RESULTS: When evaluating for cardiologist-adjudicated CHF, 11 SNPs had a P value <10-5, of which nine independent chromosomal regions were associated with increased risk. Validation of the top two SNPs in E1199 revealed one SNP rs28714259 that demonstrated a borderline increased CHF risk (P = 0.04, OR = 1.9). rs28714259 was subsequently tested in BEATRICE and was significantly associated with a decreased left ventricular ejection fraction (P = 0.018, OR = 4.2). CONCLUSIONS: rs28714259 represents a validated SNP that is associated with anthracycline-induced CHF in three independent, phase III adjuvant breast cancer clinical trials.
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    Genomic and Epigenomic Signatures in Ovarian Cancer Associated with Resensitization to Platinum Drugs
    (American Association for Cancer Research, 2018-02-01) Fang, Fang; Cardenas, Horacio; Huang, Hao; Jiang, Guanglong; Perkins, Susan M.; Zhang, Chi; Keer, Harold N.; Liu, Yunlong; Nephew, Kenneth P.; Matei, Daniela; Medical and Molecular Genetics, School of Medicine
    DNA methylation aberrations have been implicated in acquired resistance to platinum drugs in ovarian cancer. In this study, we elucidated an epigenetic signature associated with platinum drug resensitization that may offer utility in predicting the outcomes of patients who are coadministered a DNA methyltransferase inhibitor. The ovarian cancer specimens we analyzed were derived from a recent clinical trial that compared the responses of patients with recurrent platinum-resistant ovarian cancer who received carboplatin plus the DNA methyltransferase inhibitor guadecitabine or a standard-of-care chemotherapy regimen selected by the treating physician. Tumor biopsies or malignant ascites were collected from patients before treatment (day 1, cycle 1) or after treatment (after 2 cycles) for epigenomic and transcriptomic profiling using the Infinium HumanMethylation450 BeadChip (HM450). We defined 94 gene promoters that were hypomethylated significantly by guadecitabine, with 1,659 genes differentially expressed in pretreatment versus posttreatment tumors. Pathway analysis revealed that the experimental regimen significantly altered immune reactivation and DNA repair pathways. Progression-free survival correlated with baseline expression levels of 1,155 genes involved in 25 networks. In functional investigations in ovarian cancer cells, engineered upregulation of certain signature genes silenced by promoter methylation (DOK2, miR-193a, and others) restored platinum drug sensitivity. Overall, our findings illuminate how inhibiting DNA methylation can sensitize ovarian cancer cells to platinum drugs, in large part by altering gene expression patterns related to DNA repair and immune activation, with implications for improving the personalized care and survival outcomes of ovarian cancer patients.Significance: Epigenomic targeting may improve therapeutic outcomes in platinum-resistant and recurrent ovarian cancer in part by effects on DNA repair and antitumor immune responses. Cancer Res; 78(3); 631-44. ©2017 AACR.
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    Heterozygous deletion of chromosome 17p renders prostate cancer vulnerable to inhibition of RNA polymerase II
    (Springer Nature, 2018-10-22) Li, Yujing; Liu, Yunhua; Xu, Hanchen; Jiang, Guanglong; Van der Jeught, Kevin; Fang, Yuanzhang; Zhou, Zhuolong; Zhang, Lu; Frieden, Michael; Wang, Lifei; Luo, Zhenhua; Radovich, Milan; Schneider, Bryan P.; Deng, Yibin; Liu, Yunlong; Huang, Kun; He, Bin; Wang, Jin; He, Xiaoming; Zhang, Xinna; Ji, Guang; Lu, Xiongbin; Medical and Molecular Genetics, School of Medicine
    Heterozygous deletion of chromosome 17p (17p) is one of the most frequent genomic events in human cancers. Beyond the tumor suppressor TP53, the POLR2A gene encoding the catalytic subunit of RNA polymerase II (RNAP2) is also included in a ~20-megabase deletion region of 17p in 63% of metastatic castration-resistant prostate cancer (CRPC). Using a focused CRISPR-Cas9 screen, we discovered that heterozygous loss of 17p confers a selective dependence of CRPC cells on the ubiquitin E3 ligase Ring-Box 1 (RBX1). RBX1 activates POLR2A by the K63-linked ubiquitination and thus elevates the RNAP2-mediated mRNA synthesis. Combined inhibition of RNAP2 and RBX1 profoundly suppress the growth of CRPC in a synergistic manner, which potentiates the therapeutic effectivity of the RNAP2 inhibitor, α-amanitin-based antibody drug conjugate (ADC). Given the limited therapeutic options for CRPC, our findings identify RBX1 as a potentially therapeutic target for treating human CRPC harboring heterozygous deletion of 17p.