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  • American Association for Cancer Research (AACR)  (14)
  • Wang, Liang  (14)
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  • American Association for Cancer Research (AACR)  (14)
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  • 1
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2020
    In:  Clinical Cancer Research Vol. 26, No. 14 ( 2020-07-15), p. 3760-3770
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 26, No. 14 ( 2020-07-15), p. 3760-3770
    Abstract: Adults with T-cell lymphoblastic lymphoma (T-LBL) generally benefit from treatment with acute lymphoblastic leukemia (ALL)-like regimens, but approximately 40% will relapse after such treatment. We evaluated the value of CpG methylation in predicting relapse for adults with T-LBL treated with ALL-like regimens. Experimental Design: A total of 549 adults with T-LBL from 27 medical centers were included in the analysis. Using the Illumina Methylation 850K Beadchip, 44 relapse-related CpGs were identified from 49 T-LBL samples by two algorithms: least absolute shrinkage and selector operation (LASSO) and support vector machine–recursive feature elimination (SVM-RFE). We built a four-CpG classifier using LASSO Cox regression based on association between the methylation level of CpGs and relapse-free survival in the training cohort (n = 160). The four-CpG classifier was validated in the internal testing cohort (n = 68) and independent validation cohort (n = 321). Results: The four-CpG–based classifier discriminated patients with T-LBL at high risk of relapse in the training cohort from those at low risk (P & lt; 0.001). This classifier also showed good predictive value in the internal testing cohort (P & lt; 0.001) and the independent validation cohort (P & lt; 0.001). A nomogram incorporating five independent prognostic factors including the CpG-based classifier, lactate dehydrogenase levels, Eastern Cooperative Oncology Group performance status, central nervous system involvement, and NOTCH1/FBXW7 status showed a significantly higher predictive accuracy than each single variable. Stratification into different subgroups by the nomogram helped identify the subset of patients who most benefited from more intensive chemotherapy and/or sequential hematopoietic stem cell transplantation. Conclusions: Our four-CpG–based classifier could predict disease relapse in patients with T-LBL, and could be used to guide treatment decision.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 2
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2015
    In:  Clinical Cancer Research Vol. 22, No. 6 ( 2015-03-15), p. 1531-1544
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 22, No. 6 ( 2015-03-15), p. 1531-1544
    Abstract: Flightless I (FLII), member of the gelsolin superfamily of actin-remodeling proteins, functions as a transcriptional coregulator. We aim to evaluate a tumor-suppressive function of FLII in regulating androgen receptor (AR) in prostate cancer progression. Experimental Design: We examined FLII protein and mRNA expression in clinical prostate cancer specimens by immunohistochemistry. Kaplan–Meier analysis was conducted to evaluate the difference in disease–overall survival associated with the expression levels of FLII and AR. Prostate cancer cells stably expressing FLII or shRNA knockdown were used for functional analyses. Immunoprecipitation, Luciferase reporter, and immunofluorescence staining assays were performed to examine the functional interaction between FLII and AR. Results: Our analysis of the expression levels of FLII in a clinical gene expression array dataset showed that the expression of FLII was positively correlated with the overall survival of prostate cancer patients exhibiting high levels of AR expression. Examination of protein and mRNA levels of FLII showed a significant decrease of FLII expression in human prostate cancers. AR and FLII formed a complex in a ligand-dependent manner through the ligand-binding domain (LBD) of AR. Subsequently, we observed a competitive binding to AR between FLII and the ligand. FLII inhibited AR transactivation and decreased AR nuclear localization. Furthermore, FLII contributed to castration-sensitive and castration-resistant prostate cancer cell growth through AR-dependent signaling, and reintroduction of FLII in prostate cancer cells sensitized the cells to bicalutamide and enzalutamide treatment. Conclusions: FLII plays a tumor-suppressive role and serves as a crucial determinant of resistance of prostate cancer to endocrine therapies. Clin Cancer Res; 22(6); 1531–44. ©2015 AACR.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 3
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 28, No. 13 ( 2022-07-01), p. 2970-2970
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 789-789
    Abstract: Small cell carcinomas of the lung, bladder, and prostate share similar transcription patterns and drug sensitivities. Due to their high cellular plasticity, these cancers often escape treatment through a trans-differentiation from adenocarcinoma to the neuroendocrine state. We previously developed a pan small cell cancer in vitro/in vivo model named PARCB that can recapitulate this transition from primary patient tissues. To understand which transcription factors may be important in this transition, we conducted bulk and single cell RNA sequencing over time. We identified a developmental trajectory that is shared among all samples and is defined by stage-specific transcription factors. We plan to interrogate the role that these transcription factors play in the PARCB transformation assay. We performed ATAC sequencing to investigate how these transcription factors regulate these transitional states. Our study will provide a basic understanding of the transcriptional changes that occur during neuroendocrine differentiation and provide new potential therapeutic targets for small cell cancers. Citation Format: Chia-Chun Chen, Kai Song, Wendy Tran, Matthew Obusan, Tyler Sugimoto, Katherine Sheu, Donghui Cheng, Grigor Varuzhanyan, Liang Wang, Lisa Ta, Zhiyuan Mao, Nathanael Bangayan, Jung-Wook Park, Thomas Graerber, Owen Witte. Elucidating transcriptional dynamics in neuroendocrine differentiation of advanced prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 789.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 5
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Research Vol. 80, No. 16_Supplement ( 2020-08-15), p. 3587-3587
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 3587-3587
    Abstract: Introduction: NRF2/KEAP1 copy number variations and somatic mutations lead to NRF2 activation in a variety of human cancers. Though NRF2 plays a role in activating KEAP1 expression in turn, exact mechanisms and clinical implications remain unknown. Methods: We examined expression correlation between NRF2 and KEAP1 in RNA profiling databases (cBioportal, GEO) with focus on lung cancer. We performed qPCR and western blotting to measure KEAP1 mRNA and protein alterations during NRF2 activator or knockdown treatments. We also queried ENCODE and SRA for ChIP-seq datasets to identify NRF2 binding within KEAP1 promoters in human cells. To demonstrate the regulatory role of NRF2 binding on KEAP1 expression, we applied luciferase reporter assay and CRISPR editing to assess the ARE-related KEAP1 promoter activity and endogenous mRNA abundance change. To determine specimen-level implication of the feedback pattern, we tested gene expression ratio for predicting NRF2/KEAP1 copy number variations and somatic mutations. Results: RNA profiling datasets analysis showed that mRNA expression of KEAP1 was consistently in positive correlation with NRF2 in multiple primary squamous cell cancers, including LUSC (Pearson r=0.50, p & lt;1e-15), ESCA: squamous (r=0.49, p=7.1e-7), HNSC (r=0.33, p=5e-15), and CESC: squamous (r=0.2, p=0.0014). The positive correlations were consistent across all squamous cell lung cancer datasets (Pooled r=0.5, p & lt;1e-15, n=1409), but not in lung adenocarcinoma (Pooled r=0.06, p=0.11, n=2428). To determine regulatory role of NRF2 on KEAP1, we first treated multiple lung cell lines with NRF2 activator and observed significantly increased KEAP1 mRNA and protein levels. Correspondingly, we observed KEAP1 reduction in NRF2 knockdown A549 cells. ChIP-seq dataset analysis revealed highly consistent and variable NRF2 occupancy in KEAP1 promoter regions. This occupancy was drastically increased in lymphocytes and Bease2B cells after NRF2 activation. We then deleted NRF2 binding site in KEAP1 promoter and observed significant reduction of baseline and inducible luciferase activity. The ARE deletion in H292 genome reduced KEAP1 mRNA expression and increased NRF2 downstream gene expression. In one ARE homozygous deletion clone, we observed an elimination of inducible KEAP1 mRNA expression. To see if the feedback pattern can be applied to predict per-sample NRF2 signaling disruption, we calculated gene expression ratios of NRF2/KEAP1 and TXN (NRF2 target gene) /KEAP1. We found significant associations of increased TXN/KEAP1 ratio with KEAP1 deletion, and decreased NRF2/KEAP1 ratio with somatic mutation. From this result, we further developed a linear regression model that can reliably predict functional mutations in NRF2 pathway. Conclusion: NRF2-driven KEAP1 transcription suggested a calibrated NRF2 signaling transduction. Novel cancer prevention and therapy targeting NRF2 signaling will benefit from understanding this unique pattern. Citation Format: Yijun Tian, Qian Liu, Shengnan Yu, Qian Chu, Yuan Chen, Kongming Wu, Liang Wang. NRF2-driven KEAP1 transcription in human lung cancers [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3587.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 70, No. 8_Supplement ( 2010-04-15), p. LB-186-LB-186
    Abstract: 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 LB-186.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 71, No. 8_Supplement ( 2011-04-15), p. 4704-4704
    Abstract: Phospholipase C epsilon (PLCε or PLC∈ 1) is a phosphoinositide-specific enzyme phospholipase C that converts phosphatidylinositol 4,5-biphosphate to two intracellular second messengers, diacylglycerol and inositol 1,4,5-trisphosphate, which regulate protein kinase C activity and calcium mobilization, respectively. These responses are involved in the regulation of cell growth, differentiation and oncogenesis. However, the involvement of PLCε in human carcinogenesis, particularly in esophageal cancer, was not been recognized until a susceptible SNP (rs2274223: A5780G:His1927Arg) was recently identified in a large genome-wide association study (GWAS). This SNP, located within exon 26 and C2 domain of the PLCε gene at chromosome 10q23, leads to a nonsynonymous alteration from CAC (A allele, encoding histidine) to CGC (G allele, encoding arginine), which was associated with an increased risk of both squamous cell carcinoma and esophagus-cardia gastric adenocarcinoma. In the current report, we demonstrate that the presence of the G allele (AG or GG) at this locus leads to increased PLCε mRNA and protein expression in human esophageal cancer tissues and in human esophageal cancer cell lines. The present of G allele also leads o a higher enzyme activity in esophageal cancer cells in vitro. Quantitative analysis of the C2 domain sequences revealed that A:G allelic imbalance is strongly associated with esophageal malignancy. Moreover, the analysis of 10,614 non-cancer subjects from high- and low-risk areas of China demonstrated that the presence of the G allele is strongly associated with moderate to severe esophagitis in the subjects from the high-risk areas of China: 77% of the severe esophagitis individuals in high-risk areas had AG/GG genotypes vs. only 37% of these subjects in low-risk areas (OR 6.03 with 95% CI 1.59-22.9 vs. OR 0.74 with 95% CI 0.33-1.64; p=0.008). These data suggest that the interaction of potential environmental factors with PLCε, particularly in individuals with AG or GG allele, not only exists in high-risk areas for esophageal cancer development in China, but also correlates with the severity of esophagitis. In conclusion, PLCε is likely to play a pivotal role in esophageal carcinogenesis: the presence of the 5780G allele may not only predict a high risk of future esophageal cancer development, but may also participate in esophageal cancer growth and progression by upregulating levels of PLCε mRNA, protein, and enzyme activity, ultimately leading to augmentation of the inflammatory process in esophageal epithelium. Thus, the 5780G allele in PLCε may constitute a promising biomarker for esophageal squamous carcinoma risk stratification, early detection, and progression prediction. 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 4704. doi:10.1158/1538-7445.AM2011-4704
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2011
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 2733-2733
    Abstract: Background: Circulating cell-free DNA (cfDNA) analysis is emerging as a less invasive approach to assessing tumor genomic alterations in cancer patients. Although high concordance has been reported between tumor tissue NGS and cfDNA in studies investigating specific genetic alterations, the fidelity of cfDNA to tumor tissue DNA in the global genomic scale is largely unknown. In a correlative study of a prospective clinical trial (NCT# 01953640) conducted in mCRPC stage patients treated with abiraterone acetate/prednisone (A/P), we evaluated correlation of genomic CNA in tumor DNA obtained from biopsy of metastatic lesions and matched plasma cfDNA. Methods: mCRPC patients (pts) underwent two image-guided core biopsies of metastases prior to initiation of A/P (visit 1, V1) and 12 weeks after treatment (visit 2, V2). At both time points plasma was obtained at the time of the core biopsies and cfDNA was extracted using DNA Blood Mini Kit (Qiagen, Valencia, CA). High coverage (for tumor tissue) and low coverage (for cfDNA) whole genome sequencing reads were first mapped to the human genome hg19. Read counts (RC) from the mapped sequence files were then binned into 1Mb windows. The RC ratio in each genomic bin was calculated by comparing tumor tissue DNA to lymphocyte gDNA derived from the same patient, and was further log2 transformed, corrected for GC content, and normalized by CGHnormaliter. The fully normalized log2 ratios data was subjected to segmentation using DNAcopy algorithm. Results: Between 05/2013 and 09/2015, 92 patients (pts) were enrolled of which tissue and plasma NGS data both visits was available for 18 pts. The correlation of CNAs between tumor tissue and its cfDNA counterpart ranges from 0.013 to 0.83 for V1 samples, and -0.05 to 0.9 for V2 samples. The decreased correlation in some pairs of samples is largely due to low tumor content and heterogeneity in the cfDNA. Although there is a wide range of correlation, commonly shared CNAs were identified in multiple chromosomal regions, including loss in 8p, gain in 8q and chromosome 5 and X. On the other hand, several genomic regions show inconsistent CNAs between tumor tissue and cfDNA among 15 pairs of samples in which cfDNA have large tumor content. These include: loss in 6q, 1p, 2p, 9q, 11q, 13p, 15p, 20p and gain in 8q and 10p in cfDNA but not in tumor tissue; marked loss in chromosome 22 and gain in p arm of X chromosome in tumor tissue but much less evident in cfDNA. Conclusion: High concordance of CNAs between cfDNA and tumor tissue DNA can be achieved given sufficient tumor content of cfDNA. However, more CNAs can be identified in cfDNA than its tumor tissue counterpart. Our result suggests that cfDNA NGS is a useful tool to investigate clonal evolution associated with cancer progression. Citation Format: Chiang-Ching Huang, Meijun Du, Liguo Wang, Yen-chen Lin, Hua Huang, Liewei Wang, Liang Wang, Manish Kohli. Comparison of copy number aberrations (CNAs) between plasma cell free DNA (cfDNA) and tissue DNA in metastatic castrate resistant prostate cancer (mCRPC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2733. doi:10.1158/1538-7445.AM2017-2733
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 13 ( 2013-07-01), p. 4028-4038
    Abstract: To identify the genetic factors that influence overall survival in never smokers who have non–small cell lung carcinoma (NSCLC), we conducted a consistency meta-analysis study using genome-wide association approaches for overall survival in 327 never smoker patients with NSCLC from The University of Texas MD Anderson Cancer Center (Houston, TX) and 293 cases from the Mayo Clinic (Rochester, MN). We then conducted a two-pronged validation of the top 25 variants that included additional validation in 1,256 patients with NSCLC from Taiwan and assessment of expression quantitative trait loci (eQTL) and differential expression of genes surrounding the top loci in 70 tumors and matched normal tissues. A total of 94 loci were significant for overall survival in both MD Anderson and Mayo studies in the consistency meta-analysis phase, with the top 25 variants reaching a P value of 10−6. Two variants of these 25 were also significant in the Taiwanese population: rs6901416 [HR, 1.44; 95% confidence interval (CI), 1.01–2.06] and rs10766739 (HR, 1.23; 95%CI, 1.00–1.51). These loci resulted in a reduction of median survival time of at least eight and five months in three populations, respectively. An additional six variants (rs4237904, rs7976914, rs4970833, rs954785, rs485411, and rs10906104) were validated through eQTL analysis that identified significant correlations with expression levels of six genes (LEMD3, TMBIM, ATXN7L2, SHE, ITIH2, and NUDT5, respectively) in normal lung tissue. These genes were also significantly differentially expressed between the tumor and normal lung tissue. These findings identify several novel, candidate prognostic markers for NSCLC in never smokers, with eQTL analysis suggesting a potential biologic mechanism for a subset of these observed associations. Cancer Res; 73(13); 4028–38. ©2013 AACR.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 2438-2438
    Abstract: Many aggressive epithelial cancers do not carry targetable driver mutations (Mendiratta et al. 2021, NCI-MATCH Clinical trial NCT02465060). Commonly altered signaling pathways highlight the propensity for tumors to depend on such pathways for growth and survival where genomic alterations may not be required for pathway activation. The Raf family kinases are crucial mediators of the Ras/Raf/MEK/ERK (MAPK) cascade, which has been shown to be upregulated in a subset of metastatic cancers and are mutated in many epithelial cancers. A recent study suggests non-mutated C-Raf can drive metastasis to the lungs, bone, and various other tissues (Faltermeir et al. 2016). Though the mechanism of C-Raf driven metastasis is likely through MAPK activation, C-Raf has been demonstrated to possess MAPK independent roles that may also contribute to this phenotype. In this study, we explored various C-Raf functions as drivers of metastasis in an intracardiac mouse model system. Using a series of Raf knock-out cell lines and mutants targeting functional residues in C-Raf, we demonstrated that C-Raf dimerization is necessary to drive metastasis. We further showed that the metastasis-promoting activity of C-Raf is dependent on co-expression of its family member, B-Raf, for an accelerated metastatic phenotype. However, overexpression of a kinase-dead C-Raf mutant was still able to produce metastases albeit with lower efficiency, suggesting C-Raf possesses non-kinase dependent functions that also contributed to metastasis. Together, these results point to the importance of Raf non-canonical roles in oncogenic processes that may be unappreciated in metastatic disease. Citation Format: Lisa H. Ta, Janai R. Carr-Ascher, Weixian Deng, Brandon L. Tsai, Wendy Tran, Donny Gun, Donghui Cheng, Jihui Sha, Yeonjoo Hwang, John W. Phillips, Matthew B. Obusan, Nathanael J. Bangayan, Miyako Noguchi, Zhiyuan Mao, Chia-Chun Chen, Liang Wang, Grigor Varuzhanyan, John D. Gordon, James W. Wohlschlegel, Owen N. Witte. Determining the role of non-mutated C-Raf kinase in metastatic disease [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2438.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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