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  • American Association for Cancer Research (AACR)  (4)
  • 1
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 26, No. 3 ( 2017-03-01), p. 420-424
    Abstract: Background: The precise mechanism by which the immune system is adversely affected in cancer patients remains poorly understood, but the accumulation of immunosuppressive/protumorigenic myeloid-derived suppressor cells (MDSCs) is thought to be a prominent mechanism contributing to immunologic tolerance of malignant cells in epithelial ovarian cancer (EOC). To this end, we hypothesized genetic variation in MDSC pathway genes would be associated with survival after EOC diagnoses. Methods: We measured the hazard of death due to EOC within 10 years of diagnosis, overall and by invasive subtype, attributable to SNPs in 24 genes relevant in the MDSC pathway in 10,751 women diagnosed with invasive EOC. Versatile Gene-based Association Study and the admixture likelihood method were used to test gene and pathway associations with survival. Results: We did not identify individual SNPs that were significantly associated with survival after correction for multiple testing (P & lt; 3.5 × 10−5), nor did we identify significant associations between the MDSC pathway overall, or the 24 individual genes and EOC survival. Conclusions: In this well-powered analysis, we observed no evidence that inherited variations in MDSC-associated SNPs, individual genes, or the collective genetic pathway contributed to EOC survival outcomes. Impact: Common inherited variation in genes relevant to MDSCs was not associated with survival in women diagnosed with invasive EOC. Cancer Epidemiol Biomarkers Prev; 26(3); 420–4. ©2016 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 9_Supplement ( 2015-05-01), p. S4-02-S4-02
    Abstract: Background: Messenger RNA (mRNA) is the target of a series of post-transcriptional modifications that can affect its structure and stability, one of the most relevant being RNA editing. The most common form of RNA editing in humans is of the A-to-I type and is catalyzed by the adenosine deaminase acting on RNA (ADAR) family of enzymes. Currently, little is known about how RNA editing operates in cancer. The main objectives of this study were to investigate and characterize the extent of A-to-I RNA editing in breast cancer (BC) and to define the principles governing the editing process in this as well as other cancers. Material and Methods: The exome and transcriptome of 58 BC samples representing the four main known subtypes, namely TN, HER2+, luminal A and luminal B, and 10 matched normal samples were sequenced using the Illumina platform. For the same series, gene expression and copy number profiles were obtained using the Affymetrix platform. RNA-DNA single nucleotide differences (RDDs) were called using a pipeline in line with the most updated bioinformatics tools and validated in an independent cohort of 15 BC samples and breast cell lines. Results: Overall, we detected 16,027 RDDs present in one or more samples, with all possible base changes represented. Among these, 560 RDDs were located in Alu regions and were all of the A-to-I type consistent with the notion that A-to-I editing occurs predominantly in forward-facing Alu forming double stranded RNA duplexes processed by ADAR. We found that the same sites were edited in normal and tumor breast tissues. However, the editing frequency was significantly higher in tumors compared to matched normal breast tissues. Moreover, high editing frequencies were observed in samples in which more editing sites were detectable and/or in which ADAR expression was high. We identified two key factors that independently determine ADAR expression and therefore A-to-I RNA editing in breast and the majority of other human cancers: 1) the type-I interferon response in tumors and 2) gains in ADAR copy number. The mean editing frequency was found to be significantly correlated with the expression of STAT1 and other type I interferon target genes, both in our patient series, in a large pool of BC datasets and a panel of normal and breast cancer cell lines treated with interferon (IFN) α, β, or γ for 1, 2 and 5 days in vitro. Moreover, the association between editing and STAT1 expression or ADAR amplification was validated in 19 additional cancer types obtained from the TCGA dataset. Conclusions: Our work, which represents the largest survey so far on RNA editing in BC, shows that A-to-I editing is a pervasive and well-controlled phenomenon in cancer that can drive aberrant transcriptome expression in breast and potentially the vast majority of cancers. Moreover, it suggests that the immune response can profoundly impact the transcriptome sequence in tumor cells and thereby influence the internal mechanisms governing their behavior. Citation Format: Debora Fumagalli, David Gacquer, Françoise Rothé, Anne Lefort, Frederick Libert, David N Brown, Naima Kheddoumi, Adam Shlien, Tomasz Konopka, Roberto Salgado, Denis Larsimont, Kornelia Polyak, Karen Willard-Gallo, Christine Desmedt, Martine Piccart, Marc Abramowicz, Peter J Campbell, Vincent Detours, Christos Sotiriou. Principles governing A-to-I RNA editing in breast cancer transcriptome [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr S4-02.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 3
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Research Vol. 80, No. 16_Supplement ( 2020-08-15), p. 1320-1320
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 1320-1320
    Abstract: Somatic mutation calling from bulk DNA sequencing is a complex problem susceptible to elevated false positive rates. High mapping quality is considered an important feature of reliable variant calls. At the resolution of short reads, ~10% of the genome displays high sequence similarity with at least one other genomic region and is assigned low mapping quality by alignment algorithms. These low-mapping-quality regions represent recurrent blind spots for mutation callers, which discard many of the variants they harbor, overlooking true biological variation. Here, we developed a pipeline to call substitutions in the low-mapping-quality genome. We used a published thesaurus approach to annotate the variant positions with their high-similarity links. We trained a classifier to emulate high-quality consensus calls made in unique regions using 20 features unrelated to mapping quality, reaching ~95% accuracy in those regions. In an independent sample more than 90% of the thesaurus calls were validated through linked-read sequencing. We then applied the classifier to all candidate substitutions of 2,658 cancer whole genomes from the PCAWG/ICGC consortium including variants falling in low-mapability regions. We retrieve hidden thesaurus variants genome-wide in ~6% of the genome, including genic, coding, and promoter regions. Thesaurus calls are directly proportional in numbers to somatic calls falling in the low-mapping-quality genome and share a similar trinucleotide context spectrum. Rescuing these mutations reveal hidden signal in known cancer genes, including PIK3CA, and excess of mutations genome-wide in promoter, untranslated, and coding regions of many other genes. We also find potential excess of non-synonymous mutations, including in genes from the TRIM and POTE families, having been previously implicated in multiple cancer types. Altogether, we developed a pipeline to call somatic substitutions in the low-mapping-quality genome and uncovered hidden somatic changes along the genomes of human cancers. In the future, this pipeline could be extended to indels and structural variants, and applied to the study of de novo germline variants. Citation Format: Maxime Tarabichi, Jonas Demeulemeester, Annelien Verfaillie, Peter Van Loo, Tomasz Konopka. The landscape of somatic substitutions in the repetitive genome across cancer types [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 1320.
    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
    Location Call Number Limitation Availability
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  • 4
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 30, No. 1 ( 2021-01-01), p. 217-228
    Abstract: Accumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers. Methods: Using LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data. Results: Genetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10−5). We found seven loci associated with risk for both cancers (PBonferroni & lt; 2.4 × 10−9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P & lt; 5 × 10−7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation. Conclusions: Using cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis. Impact: Our research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
    Location Call Number Limitation Availability
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