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  • 1
    In: Carcinogenesis, Oxford University Press (OUP), Vol. 43, No. 1 ( 2022-02-11), p. 12-20
    Abstract: We have previously identified a genetic variant, rs34331122 in the 22q11.21 locus, as being associated with breast cancer risk in a genome-wide association study. This novel variant is located in the intronic region of the T-box transcription factor 1 (TBX1) gene. Cis-expression quantitative trait loci analysis showed that expression of TBX1 was regulated by the rs34331122 variant. In the current study, we investigated biological functions and potential molecular mechanisms of TBX1 in breast cancer. We found that TBX1 expression was significantly higher in breast cancer tumor tissues than adjacent normal breast tissues and increased with tumor stage (P & lt; 0.05). We further knocked-down TBX1 gene expression in three breast cancer cell lines, MDA-MB-231, MCF-7 and T47D, using small interfering RNAs and examined consequential changes on cell oncogenicity and gene expression. TBX1 knock-down significantly inhibited breast cancer cell proliferation, colony formation, migration and invasion. RNA sequencing and flow cytometry analysis revealed that TBX1 knock-down in breast cancer cells induced cell cycle arrest in the G1 phase through disrupting expression of genes involved in the cell cycle pathway. Furthermore, survival analysis using the online Kaplan–Meier Plotter suggested that higher TBX1 expression was associated with worse outcomes in breast cancer patients, especially for estrogen receptor-positive breast cancer, with HRs (95% CIs) for overall survival (OS) and distant metastasis free survival (DMFS) of 1.5 (1.05–2.15) and 1.55 (1.10–2.18), respectively. In conclusion, our results suggest that the TBX1 gene may act as a putative oncogene of breast cancer through regulating expressions of cell cycle-related genes.
    Type of Medium: Online Resource
    ISSN: 0143-3334 , 1460-2180
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
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  • 2
    In: Cancers, MDPI AG, Vol. 13, No. 9 ( 2021-04-23), p. 2037-
    Abstract: We previously identified a locus at 21q22.3, tagged by the single nucleotide polymorphism (SNP) rs35418111, being associated with breast cancer risk at a genome-wide significance level; however, the underlying causal functional variants and gene(s) responsible for this association are unknown. We performed functional genomic analyses to identify potential functional variants and target genes that may mediate this association. Functional annotation for SNPs in high linkage disequilibrium (LD, r2 〉 0.8) with rs35418111 in Asians showed evidence of promoter and/or enhancer activities, including rs35418111, rs2078203, rs8134832, rs57385578, and rs8126917. These five variants were assessed for interactions with nuclear proteins by electrophoretic mobility shift assays. Our results showed that the risk alleles for rs2078203 and rs35418111 altered DNA-protein interaction patterns. Cis-expression quantitative loci (cis-eQTL) analysis, using data from the Genotype-Tissue Expression database (GTEx) European-ancestry female normal breast tissue, indicated that the risk allele of rs35418111 was associated with a decreased expression of the YBEY gene, a relatively uncharacterized endoribonuclease in humans. We investigated the biological effects of YBEY on breast cancer cell lines by transient knock-down of YBEY expression in MCF-7, T47D, and MDA-MB-231 cell lines. Knockdown of YBEY mRNA in breast cancer cell lines consistently decreased cell proliferation, colony formation, and migration/invasion, regardless of estrogen receptor status. We performed RNA sequencing in MDA-MB-231 cells transfected with siRNA targeting YBEY and subsequent gene set enrichment analysis to identify gene networks associated with YBEY knockdown. These data indicated YBEY was involved in networks associated with inflammation and metabolism. Finally, we showed trends in YBEY expression patterns in breast tissues from The Cancer Genome Atlas (TCGA); early-stage breast cancers had elevated YBEY expression compared with normal tissue, but significantly decreased expression in late-stage disease. Our study provides evidence of a significant role for the human YBEY gene in breast cancer pathogenesis and the association between the rs35418111/21q22.3 locus and breast cancer risk, which may be mediated through functional SNPs, rs35418111 and rs2078203, that regulate expression of YBEY.
    Type of Medium: Online Resource
    ISSN: 2072-6694
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
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  • 3
    In: The American Journal of Human Genetics, Elsevier BV, Vol. 109, No. 12 ( 2022-12), p. 2185-2195
    Type of Medium: Online Resource
    ISSN: 0002-9297
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 1473813-2
    SSG: 12
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  • 4
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Research Vol. 80, No. 16_Supplement ( 2020-08-15), p. 4626-4626
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 4626-4626
    Abstract: We have previously identified a genetic variant, rs34331122 in the 22q11.21 locus, to be associated with breast cancer risk in genome-wide association studies. This SNP is located in the intronic region of the T-box transcription factor 1 (TBX1) gene. TBX1 is a member of the T-box transcription factor gene family, which plays important roles in embryogenesis and organogenesis. Previous studies have indicated that TBX1 exerted potential tumor suppressor functions in mouse skin tumors and human thyroid cancer. However, the biological functions and molecular mechanisms of TBX1 in breast cancer remain largely unknown. In this study, we investigated whether the association of the 22q11.21 locus with breast cancer risk was mediated by the TBX1 gene. Using The Cancer Genome Atlas (TCGA) data, we found that TBX1 expression was significantly upregulated in breast cancer tissues compared to adjacent normal breast tissues. To investigate the biological functions of the TBX1 gene in breast cancer, we knock-downed TBX1 gene expression using siRNAs in MDA-MB-231, MCF-7 and T47D breast cancer cell lines. Our results showed that knocking down TBX1 expression significantly inhibited breast cancer cell proliferation, migration and invasion. We further performed RNA sequencing in both TBX1 knocked-down and control MDA-MB-231 cells. Our differential gene expression and gene set enrichment analyses showed that knocked-down TBX1 expression significantly downregulated cell cycle-related genes, including CDC6, CDK6, DHFR, CIT, ORAI1 and TOP2A (P & lt; 10−30). These six downregulated genes in TBX1 knocked-downed MDA-MB-231 cells were further confirmed by quantitative real-time PCR (qPCR). Furthermore, using the JASPAR database to predict TBX1 binding motif, we found that TBX1 may bind to the promoter regions of these six genes. In summary, our results suggest that TBX1 acts as a potential oncogene in breast cancer through regulating the expression of cell cycle-related genes, and the associations between genetic variants in the 22q11.21 locus and breast cancer risk may be mediated through altered expression of the TBX1 gene. Citation Format: Shuya Huang, Xiang Shu, Jie Wu, Jifeng Wang, Xingyi Guo, Jie Ping, Joshua A. Bauer, Jirong Long, Xiao-Ou Shu, Wei Zheng, Qiuyin Cai. TBX1 functions as a potential oncogene in breast cancer [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 4626.
    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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  • 5
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2018
    In:  Breast Cancer Research and Treatment Vol. 171, No. 1 ( 2018-8), p. 199-207
    In: Breast Cancer Research and Treatment, Springer Science and Business Media LLC, Vol. 171, No. 1 ( 2018-8), p. 199-207
    Type of Medium: Online Resource
    ISSN: 0167-6806 , 1573-7217
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
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  • 6
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2015
    In:  Breast Cancer Research and Treatment Vol. 152, No. 1 ( 2015-7), p. 183-191
    In: Breast Cancer Research and Treatment, Springer Science and Business Media LLC, Vol. 152, No. 1 ( 2015-7), p. 183-191
    Type of Medium: Online Resource
    ISSN: 0167-6806 , 1573-7217
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2015
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  • 7
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Research Vol. 80, No. 16_Supplement ( 2020-08-15), p. 50-50
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 50-50
    Abstract: Background: African American (AA) women suffer from higher incidence of some forms of breast cancer and higher overall mortality than European American (EA) women. Methods: To investigate the biological basis for the racial difference in breast cancer, we compared gene expression profiles in breast cancer tissues using RNA sequencing data derived from 260 AA and 155 EA women who are participants of the Southern Community Cohort Study (SCCS) and were diagnosed with breast cancer during the cohort follow-up. Genes differentially expressed between AA and EA breast cancer patients were identified using linear regression models thresholded at false discovery rate (FDR) & lt; 0.01. Covariates adjusted in the analysis include age at diagnosis, PAM50 subtypes, TNM stages, probabilistic estimation of expression residuals (PEER) factors, and test batch. Penalized logistic regression via ridge regularization was used to avoid overfitting and overcome the potential problem of multicollinearity by shrinking the model coefficients in building the race-specific gene expression signature. Gene expression and clinical data of 180 AA and 838 EA breast cancer patients from the Cancer Genome Atlas (TCGA) were used for external validation of the gene signature. Penalized Cox regression via elastic net was used to identify a subset of the race-differentiated genes that are associated with breast cancer survival. Results: We identified 59 genes (54 protein-coding genes and 5 long intergenic non-coding RNAs) that were differentially expressed between EA and AA with an FDR adjusted p-value & lt; 0.01. The top three identified genes were IL20A (OMIM 605620), MARCO (OMIM 604870), and BTN3A1 (OMIM 613593), all involved in immune-related pathways. All 59 genes were included in constructing the race-differentiated gene signature. A subset of 30 racial-differentiated genes were found significantly associated with overall breast cancer survival. We externally validated our 59-gene signature by fitting the model to TCGA data and evaluated the prediction performance of the gene signature in terms of both discrimination and calibration. The C-statistic was 0.81, indicating high discriminative ability in distinguishing AA and EA breast cancer patients. The Brier score, which measures disagreement between the observed outcome and a prediction, was 0.064, indicating high reliability and prediction accuracy. Conclusion: These findings provide insights into the biological differences in tumors and the survival disparity between AA and EA breast cancer patients. Citation Format: Jie Ping, Xingyi Guo, Fei Ye, Jirong Long, Loren Lipworth, Qiuyin Cai, William J. Blot, Xiao-ou Shu, Wei Zheng. Differences in gene-expression profiles in breast cancer between African and European-ancestry women [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 50.
    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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    detail.hit.zdb_id: 1432-1
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  • 8
    In: Human Genetics, Springer Science and Business Media LLC, Vol. 140, No. 10 ( 2021-10), p. 1449-1457
    Type of Medium: Online Resource
    ISSN: 0340-6717 , 1432-1203
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 1459188-1
    SSG: 12
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  • 9
    In: Genetics in Medicine, Elsevier BV, Vol. 24, No. 7 ( 2022-07), p. 1468-1475
    Type of Medium: Online Resource
    ISSN: 1098-3600
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2063504-7
    SSG: 12
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 28-28
    Abstract: Background: To date, most genome-wide association studies (GWAS) of breast cancer have been conducted only among women of Asian and European ancestry. It is difficult to generalize results from those studies to women of African ancestry (AA). We conducted a large genetic association study of breast cancer in women of AA by analyzing both genetic and transcriptomic data. Methods: This collaborative study included 11,073 cases and 11,095 controls of AA who were participants in more than 15 studies conducted in the U.S. and Africa. Genotyping data were harmonized and imputed using the 1000 Genomes Project database as the reference. Imputed genotypes were used for GWAS to identify novel genetic risk loci for breast cancer. To search for susceptibility genes, we conducted a transcriptome-wide association study (TWAS), in which gene expression prediction models were built using genetic and tumor tissue RNA sequencing data from ~400 AA patients and used to impute expression levels of genes across the transcriptome for association analyses in all cases and controls included in the GWAS mentioned above. Results: We identified five loci (5p15.33, 5q31.3, 10q26.13, 18q12.1, and 19p13.11) associated with breast cancer risk at P & lt; 5 × 10−8, including a novel locus at 5q31.3 (allelic odds ratio, OR = 1.18, 95% CI = 1.11-1.25, P = 4.65 × 10−8, nearby gene, ARHGAP26). This locus was also identified in association with estrogen receptor (ER) positive breast cancer at P & lt; 5 × 10−8. Analyses stratified by ER status replicated known loci associated specifically with ER-positive (10q26.13) or ER-negative (2q14.2, 2p11.2, 5p15.33) breast cancer at P & lt; 5 × 10−8. Of the 165 lead risk SNPs reported from previous breast cancer GWAS, 35 SNPs were replicated with the same association direction at P & lt; 0.05. We constructed a polygenic risk score using these 35 replicated SNPs and the lead risk SNP at the novel locus and estimated the AUC to be 0.575. Of the 7,592 genes tested in the TWAS, we identified one gene, AC091053.1, with an association at a Bonferroni-corrected threshold of 6.64 × 10−6 (0.05/7,592). AC091053.1 is a long non-coding RNA gene at locus 11p15.4, where no risk variants have been identified in any previous breast cancer GWAS. AC091053.1 is located in the region of protein coding gene DENND2B, which acts as a regulator of MAPK1/ERK2 kinase and reduces the tumorigenic phenotype in cells. The gene AC091053.1 was associated with ER-positive breast cancer with P = 4.11 × 10−5 and ER-negative breast cancer with P = 0.032. Conclusions: Our study, the largest genetic study conducted to date in AA, identified novel breast cancer risk loci at 5q31.3 and 11p15.4 (AC091053.1) among women of AA and replicated & gt;30 associations reported in previous studies. Studies with a larger sample size are needed to further investigate genetic variants and genes associated with breast cancer risk in AA women. Citation Format: Guochong Jia, Jie Ping, Yaohua Yang, Maureen Sanderson, Qiuyin Cai, Xingyi Guo, William J. Blot, Bingshan Li, Elisa V. Bandera, Manjeet K. Bolla, Montserrat García-Closas, Douglas F. Easton, Mary K. Fadden, Jian Gu, Dezheng Huo, Esther M. John, Kathryn L. Lunetta, Olufunmilayo I. Olopade, Xiang Shu, Melissa A. Troester, Song Yao, Breast Cancer Association Consortium, Andrew F. Olshan, Christine B. Ambrosone, Christopher A. Haiman, Jirong Long, Julie R. Palmer, Wei Zheng. Integrating genomic and transcriptomic data to identify genetic loci associated with breast cancer risk in women of African ancestry [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 28.
    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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    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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