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  • American Association for Cancer Research (AACR)  (3)
  • Cheng, Lijun  (3)
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  • American Association for Cancer Research (AACR)  (3)
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  • 1
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2022
    In:  Cancer Research Vol. 82, No. 12_Supplement ( 2022-06-15), p. LB131-LB131
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. LB131-LB131
    Abstract: Triple-negative breast cancer (TNBC) accounts for 15-20% of cases yet disproportional accounts for 35% of breast cancer deaths. Chemotherapy remains the first-line treatment for TNBC. Despite the great research efforts, above half of TNBC patients have developed drug resistance after chemotherapies. Thus, the study of chemo-resistance and identification of novel targets are critical to improving TNBC treatment. In our study, we compared genomic profiles between TNBC cell lines and patients' samples and selected the most representative one, MDA-MB-231,for TNBC chemotherapy-poor responders. Then, Genome-wide CRISPR-Cas9 screen and RNAseq were performed in MDA-MB-231 to identify potential synthetic lethal targets to Cisplatin/Doxorubicin. To identify cell lines that correspond to poor responder patients, we selected genomic profiles of 17 good responders, 36 poor responders, and 21 TNBC cell lines from GEO database. We used Hierarchical clustering analysis, Spearman's rank correlation, and GSEA analysis to determine the representative cell lines in gene expression level and pathway level. With the results from our analysis, MDA-MB-231 is most representative among 21 TNBC cell lines. To identify essential genes and pathways for cell survival under Cisplatin/Doxorubicin treatment, we performed genome-wide CRISPR-Cas9 knockout screens in MDA-MB-231 and introduced CRISPR library TKOV3 into cells by lentivirus. After puromycin selection, the surviving cells were treated with Cisplatin/Doxorubicin for 21 days and sgRNAs were sequenced at ~80 million reads per sample to achieve a 600x coverage over the TKOV3 library. To accurate the CRISPR-Cas9 screen results and capture the transcriptomic changes during the Cisplatin/Doxorubicin treatment, we performed RNAseq from MDA-MD-231 after treating in same drug conditions matched with the CRISPR screen. By the MAGeCK algorithm, we generated the list of candidate genes that can form a synthetic lethal partnership with Cisplatin/Doxorubicin. Our negative selection screen confirmed that loss of essential genes from DNA damage repair and regulation of DNA replication pathways, such as BCL2L1, ATM, CDC25B, NBN, sensitizes cells to Cisplatin/Doxorubicin, which has been reported in DNA damage drug synthetic lethal studies. Meanwhile, our analysis also revealed hundreds of unrecognized genes involved in the G2/M DNA damage checkpoint, AMPK signaling pathway, mTOR signaling pathway, and Hsp90-mediated pathways. In addition, the pathways related to transcriptomic response to Cisplatin/Doxorubicin from RNAseq data show many differences with essential pathways shown in the CRISPR screen, which proposed a complex regulation system in cell response to DNA damage drug. In general, Genome-wide CRISPR-Cas9 screen along with transcriptome RNAseq is efficient to identify essential genes that have potential synthetic lethal interaction with Cisplatin/Doxorubicin. This provides new opportunities for combination therapies in TNBC chemo-resistant patients. Citation Format: Shuai Shao, Shan Tang, Xue Wu, Yue Zhao, Huo Yang, Lijun Cheng, Lang Li. Genome-wide CRISPR-Cas9 screen parallel with transcriptome RNAseq to identify synthetic lethal drug targets to cisplatin/doxorubicin in triple-negative breast 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 LB131.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Research Vol. 80, No. 16_Supplement ( 2020-08-15), p. 549-549
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 549-549
    Abstract: As monotherapy, Poly (ADP-ribose) polymerase inhibitors (PARPi) have achieved remarkable success in treating tumors with germline BRCA1/2 mutation due to the synthetic lethality in DNA damage response. The efficacy of PARPi in combination with other therapeutic agents is still under investigation. However, BRCA mutant tumors constitute only 5-10% of total breast cancer diagnoses. Therefore, to extend the benefit of PARPi beyond BRCA mutant tumors, it is imperative to identify other genetic determinants that also contribute to PARPi sensitivity. Such knowledge also provides valuable insight into the development of combination therapies involving PARPi. To identify genes and pathways that are essential for cell survival under PARPi treatment, we performed genome-wide CRISPR-Cas9 knockout screens in a BRCA-functional, triple-negative breast cancer cell line MDA-MB-231 treated with talazoparib at a low dose (IC20, 20nM). Toronto CRISPR human knockout library TKOV3 was introduced into cells using lentivirus at MOI of 0.3~0.4. After puromycin selection, the surviving cells were treated with talazoparib or DMSO for 20 days before harvesting. The sgRNAs were sequenced at ~30 million reads per sample to achieve a 300x coverage over the TKOV3 library. To increase the accuracy of the CRISPR-Cas9 screen result, and to capture the transcriptomic changes during a relative long-term PARPi treatment as used in the screening process, we also did RNAseq profiling in MDA-MD-231 cells cultured in the conditions matched with the CRISPR-Cas9 screen. Using mRNA level as a filter to remove non-expressed genes, we were able to generate a list of candidate genes that have the potential to form synthetic lethal partnership with talazoparib. Our negative selection screen confirmed that loss of key components of DNA damage repair and DNA replication pathways such as ATM, RNASEH2C, ESCO2, EME1, and several components of Fanconi Anemia (FA) core complex sensitizes cells to talazoparib, as has been reported in similar screens using other PARP inhibitors. Meanwhile, our analysis also revealed several previously unrecognized partner genes involved in subcellular trafficking, RNA splicing, and microRNA biogenesis. In addition, the RNAseq profile depicted a transcriptomic response to long-term talazoparib treatment that has many distinctions from the essential pathways shown in the CRISPR-Cas9 screen, suggesting a complex, multi-layer regulation system in cell response to PARP inhibition. Our study identified a set of genes that have potential synthetic lethal interaction with PARPi. The status of these genes can be used to identify subset of triple-negative breast cancer patients who could potentially benefit from PARPi treatment. Strategies targeting these genes represent new opportunities for PARPi combination therapies. Citation Format: Xue Wu, Yue Zhao, Xiaoyu Xie, Xiaoling Xuei, Yunlong Liu, Lijun Cheng, Lang Li. Genome-wide CRISPR-Cas9 screen and RNAseq analysis identify new candidate synthetic lethality partners to PARP inhibitor in triple-negative 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 549.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
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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. 830-830
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 830-830
    Abstract: Introduction: Genome-wide CRISPR-Cas9 based loss-of-function screens can be used to find essential genes for proliferation and survival of cancer cells. While recent studies have focused on establishing reference sets of essential and non-essential genes, correcting copy number effect and characterizing off-target effect, it lacks in-depth studies of the effects of gene abundance and sgRNAs that targeting multi-genomic loci. To fill this gap timely, we here present a bioinformatics workflow to reduce false positives in CRISPR-Cas9 screens. Description: Gastric adenocarcinoma cell line AGS was infected with CRISPR knockout library (TKOv3) at a multiplicity of infection of 0.3~0.4. We used the cells right after puromycin selection as the baseline sample, and the cells cultured for 14 days or 20 days as the negative selection samples. The sgRNA inserts were amplified by PCR and the corresponding libraries were sequenced on NextSeq 500 with a single-end 75 bp run, followed by analysis by MAGeCK. The read counts of sgRNAs were normalized by non-essential genes to reduce false positives. The RNA-seq data and copy number data were obtained by CCLE portal. To characterize sgRNAs targeting multiple-genomic loci, Bowtie was used to align sgRNA to the reference human genome (GRCh38) with no mismatch, and only the alignments followed by NGG PAM site were remained for downstream analysis. Summary: Integration of RNA-seq data with CRISPR negative screen results showed that the selection signal was noisy for the lowly expressed genes. The fraction of selected essential genes (overall FDR & lt;0.05, absolute value of beta score & gt;1) was as low as 0.11% among the genes with the bottom 10% expression level, while 27% among the genes with the top 10% expression level. After filtering out the lowly expressed genes ( & lt;0.06 RPKM), the selected essential genes had an FDR much closer to 0. Out of the 40 essential genes selected without filtering out lowly expressed genes, none of them was reported oncogenes in literature. To study the influences of multiple alignments of sgRNAs, we only considered the ones with perfect alignments (i.e., no mismatch) so that we can prevent it from being confounding with off-target effects caused by mismatch tolerance. Log fold changes in read counts were calculated for each sgRNA between a later time point (day 14 or 20) vs. baseline (day 0). The median log fold change significantly decreased as a function of the number of perfect alignments (p = 0.0001, Jonckheere trend test). This supports the hypothesis that a sgRNA aligned to several DNA targets will introduce multiple double stranded cuts, and thus will result in biased essentiality scores. Conclusions: Filtering out lowly-expressed genes prior to CRISPR screen data analysis can reduce false positives. In addition, multiple-target sgRNAs can lead to false positives but the effect needs further analysis in a case by case manner. Citation Format: Yue Zhao, Xue Wu, Yuru Wang, Kin Fai Au, Lijun Cheng, Lang Li. New bioinformatics workflow of genome-wide CRISPR-Cas9 knockout screens [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 830.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
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