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  • 1
    In: Journal for ImmunoTherapy of Cancer, BMJ, Vol. 4, No. S1 ( 2016-11)
    Type of Medium: Online Resource
    ISSN: 2051-1426
    Language: English
    Publisher: BMJ
    Publication Date: 2016
    detail.hit.zdb_id: 2719863-7
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  • 2
    In: Journal of the National Cancer Institute, Oxford University Press (OUP), Vol. 107, No. 11 ( 2015-11), p. djv247-
    Type of Medium: Online Resource
    ISSN: 0027-8874 , 1460-2105
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2015
    detail.hit.zdb_id: 2992-0
    detail.hit.zdb_id: 1465951-7
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  • 3
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 7, No. 1 ( 2016-06-15)
    Abstract: Colorectal cancer (CRC) is a highly heterogeneous disease, for which prognosis has been relegated to clinicopathologic staging for decades. There is a need to stratify subpopulations of CRC on a molecular basis to better predict outcome and assign therapies. Here we report targeted exome-sequencing of 1,321 cancer-related genes on 468 tumour specimens, which identified a subset of 17 genes that best classify CRC, with APC playing a central role in predicting overall survival. APC may assume 0, 1 or 2 truncating mutations, each with a striking differential impact on survival. Tumours lacking any APC mutation carry a worse prognosis than single APC mutation tumours; however, two APC mutation tumours with mutant KRAS and TP53 confer the poorest survival among all the subgroups examined. Our study demonstrates a prognostic role for APC and suggests that sequencing of APC may have clinical utility in the routine staging and potential therapeutic assignment for CRC.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 2553671-0
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  • 4
    Online Resource
    Online Resource
    American Society for Microbiology ; 2007
    In:  Journal of Virology Vol. 81, No. 12 ( 2007-06-15), p. 6389-6401
    In: Journal of Virology, American Society for Microbiology, Vol. 81, No. 12 ( 2007-06-15), p. 6389-6401
    Abstract: Epstein-Barr virus (EBV) escapes host immunity by the reversible and epigenetic silencing of immunogenic viral genes. We previously presented evidence that a dynamic chromatin domain, which we have referred to as the latency control region (LCR), contributes to the reversible repression of EBNA2 and LMP1 gene transcription. We now explore the protein-DNA interaction profiles for a few known regulatory factors and histone modifications that regulate LCR structure and activity. A chromatin immunoprecipitation assay combined with real-time PCR analysis was used to analyze protein-DNA interactions at ∼500-bp intervals across the first 60,000 bp of the EBV genome. We compared the binding patterns of EBNA1 with those of the origin recognition complex protein ORC2, the chromatin boundary factor CTCF, the linker histone H1, and several histone modifications. We analyzed three EBV-positive cell lines (MutuI, Raji, and LCL3459) with distinct transcription patterns reflecting different latency types. Our findings suggest that histone modification patterns within the LCR are complex but reflect differences in each latency type. The most striking finding was the identification of CTCF sites immediately upstream of the Qp, Cp, and EBER transcription initiation regions in all three cell types. In transient assays, CTCF facilitated EBNA1-dependent transcription activation of Cp, suggesting that CTCF coordinates interactions between different chromatin domains. We also found that histone H3 methyl K4 clustered with CTCF and EBNA1 at sites of active transcription or DNA replication initiation. Our findings support a model where CTCF delineates multiple domains within the LCR and regulates interactions between these domains that correlate with changes in gene expression.
    Type of Medium: Online Resource
    ISSN: 0022-538X , 1098-5514
    Language: English
    Publisher: American Society for Microbiology
    Publication Date: 2007
    detail.hit.zdb_id: 1495529-5
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  • 5
    In: Blood, American Society of Hematology, Vol. 107, No. 8 ( 2006-04-15), p. 3189-3196
    Abstract: We previously identified a small number of genes using cDNA arrays that accurately diagnosed patients with Sézary Syndrome (SS), the erythrodermic and leukemic form of cutaneous T-cell lymphoma (CTCL). We now report the development of a quantitative real-time polymerase chain reaction (qRT-PCR) assay that uses expression values for just 5 of those genes: STAT4, GATA-3, PLS3, CD1D, and TRAIL. qRT-PCR data from peripheral blood mononuclear cells (PBMCs) accurately classified 88% of 17 patients with high blood tumor burden and 100% of 12 healthy controls in the training set using Fisher linear discriminant analysis (FLDA). The same 5 genes were then assayed on 56 new samples from 49 SS patients with blood tumor burdens of 5% to 99% and 69 samples from 65 new healthy controls. The average accuracy over 1000 resamplings was 90% using FLDA and 88% using support vector machine (SVM). We also tested the classifier on 14 samples from patients with CTCL with no detectable peripheral involvement and 3 patients with atopic dermatitis with severe erythroderma. The accuracy was 100% in identifying these samples as non-SS patients. These results are the first to demonstrate that gene expression profiling by quantitative PCR on a selected number of critical genes can be employed to molecularly diagnosis SS.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2006
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 6
    In: BMC Cancer, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2022-03-10)
    Abstract: Over half of colorectal cancers (CRCs) are hard-wired to RAS/RAF/MEK/ERK pathway oncogenic signaling. However, the promise of targeted therapeutic inhibitors, has been tempered by disappointing clinical activity, likely due to complex resistance mechanisms that are not well understood. This study aims to investigate MEK inhibitor-associated resistance signaling and identify subpopulation(s) of CRC patients who may be sensitive to biomarker-driven drug combination(s). Methods We classified 2250 primary and metastatic human CRC tumors by consensus molecular subtypes (CMS). For each tumor, we generated multiple gene expression signature scores measuring MEK pathway activation, MEKi “bypass” resistance, SRC activation, dasatinib sensitivity, EMT, PC1, Hu-Lgr5-ISC, Hu-EphB2-ISC, Hu-Late TA, Hu-Proliferation, and WNT activity. We carried out correlation, survival and other bioinformatic analyses. Validation analyses were performed in two independent publicly available CRC tumor datasets ( n  = 585 and n  = 677) and a CRC cell line dataset ( n  = 154). Results Here we report a central role of SRC in mediating “bypass”-resistance to MEK inhibition (MEKi), primarily in cancer stem cells (CSCs). Our integrated and comprehensive gene expression signature analyses in 2250 CRC tumors reveal that MEKi-resistance is strikingly-correlated with SRC activation (Spearman P   〈  10 –320 ), which is similarly associated with EMT (epithelial to mesenchymal transition), regional metastasis and disease recurrence with poor prognosis. Deeper analysis shows that both MEKi-resistance and SRC activation are preferentially associated with a mesenchymal CSC phenotype. This association is validated in additional independent CRC tumor and cell lines datasets. The CMS classification analysis demonstrates the strikingly-distinct associations of CMS1-4 subtypes with the MEKi-resistance and SRC activation. Importantly, MEKi + SRCi sensitivities are predicted to occur predominantly in the KRAS mutant, mesenchymal CSC-like CMS4 CRCs. Conclusions Large human tumor gene expression datasets representing CRC heterogeneity can provide deep biological insights heretofore not possible with cell line models, suggesting novel repurposed drug combinations. We identified SRC as a common targetable node–-an Achilles’ heel–-in MEKi-targeted therapy-associated resistance in mesenchymal stem-like CRCs, which may help development of a biomarker-driven drug combination (MEKi + SRCi) to treat problematic subpopulations of CRC.
    Type of Medium: Online Resource
    ISSN: 1471-2407
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2041352-X
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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. 5789-5789
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 5789-5789
    Abstract: Left-sided colorectal cancer (CRC) tumors have been reported to be more favorably associated with better survival than right-sided tumors. A molecular basis of the laterality of prognosis, however, is still poorly understood. We have recently developed a multi-gene mutation classification system from targeted exome sequencing of 1,321 cancer-related genes on 468 CRC tumor specimens (Schell et al, Nat Commun, 2016). We found that among 17 significantly mutated genes, four (BRAF, APC, KRAS, TP53) demonstrated pairwise, statistically significant, correlations, with APC-partnering mutations playing a central role in predicting overall survival. APC might assume 0, 1, or 2 identified truncating mutations, each with a striking differential impact on survival. Tumors lacking any APC mutation carried a worse prognosis than single mutation tumors, but the triply-mutated tumors (APC, KRAS, TP53) with two APC mutations conferred substantially worse survival. Thus, we hypothesized that APC-partnering mutations might also have a significant role in the sidedness effect on CRC outcome. We carried out various Left (L) vs Right (R) survival analyses on 464 tumors that had the primary tumor location data. When individual driver mutations (BRAF, APC, KRAS, TP53) were analyzed separately, although a statistically significant association with overall survival was seen in left-sided tumors for APC mutations and BRAF (V600E) for all patients and for MSS patients, no significant survival difference was observed when each of four driver mutations was (left vs right) compared. However, when APC-partnering mutations (i.e. APC WT; APC only; APC/KRAS; APC/TP53; APC/KRAS/TP53) were analyzed, left-sided APC/KRAS tumors were found to be associated with dramatically better survival than their right-sided counterparts (HR=0.37 (0.17-0.82), logrank p=0.0078 for all patients; HR=0.059 (0.021-0.162), logrank p=0.0001 for MSS patients). Analysis of APC hit mutation (0-hit, 1-hit, 2-hit) groups reveals that left-sided APC 2-hit tumors had significantly better survival than right-sided counterparts in all patients and MSS patients. However, surprisingly, we also identified that several mutation subgroups conferred better survival in right-sided tumors than left-sided tumors. For example, APC-only mutation tumors were associated with better survival than their left-sided counterparts (logrank p=0.030) in MSS patients (n=403); Right-sided all wild-type (BRAF, APC, KRAS, TP53) tumors conferred much better survival (HR=0.12 (0.038-0.368), logrank p=0.0135) in APC WT tumors (n=35). In conclusion, our findings identified a novel role of APC-partnering mutation subgroups associated with the sidedness effect, suggesting that routine clinical APC and TP53 mutation assessment, in addition to BRAF and KRAS, may refine and improve predicting outcomes in left vs right-sided CRC patients. Citation Format: Mingli Yang, Michael Schell, Andrey Loboda, Michael Nebozhyn, W. Jack Pledger, Timothy Yeatman. A novel role of APC-partnering mutations in the sidedness of colorectal cancer survival [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 5789.
    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
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  • 8
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2016
    In:  Cancer Research Vol. 76, No. 14_Supplement ( 2016-07-15), p. 3175-3175
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 3175-3175
    Abstract: The epithelial-mesenchymal transition (EMT) has been well-recognized as an important mechanism promoting cancer cell invasion and “stemness”, metastasis and therapeutic resistance. Various types of cancers with high-EMT (mesenchymal-like) features have been correlated with poorer survival. For example, recently, an international consortium (Guinney et al, Nature Medicine, 2015) has coalesced six independent classification systems of colorectal cancers into four consensus molecular subtypes (CMSs), among which only CMS4 (mesenchymal, 23%) was associated with worse overall survival and worse relapse free survival. Here we report an analysis of 458 colorectal tumors that identified a subpopulation (n = 31, 6.8%) of mesenchymal-like colorectal cancers with unique molecular features. Surprisingly, these tumors were significantly associated with better survival. All samples underwent targeted exome sequencing of 1,321 cancer-related genes, global gene expression profiling and microsatellite instability (MSI) analysis, and were evaluated for the Kaplan-Meier survival and various additional correlation analyses. We explored gene expression signatures to measure EMT, RAS/MAPK, growth factor signaling, and mucinous characteristics. While we recently found that colorectal tumors with wild-type APC (n = 151, 33.0%) were associated with worse outcome, we identified a mucinous subpopulation of these tumors (n = 31, 20.7%) which were associated with better overall survival (p = 0.004). This subpopulation of wt APC tumors were mesenchymal-like, as indicated by its significantly higher mRNA expression of the mesenchymal marker VIM (p = 0.0001) along with a robustly higher EMT signature scores (p & lt;0.0001). This is in contrast to another mucinous colorectal subpopulation, MSI tumors that are epithelial-like, also with a good survival. Moreover, unlike hyper-mutated MSI tumors, the subpopulation identified appears to be correlated with the least-mutated tumors that lack common drivers (e.g. TP53, KRAS and BRAF). Compared to other wt APC tumors, this subpopulation had lower mRNA expression of a number of “canonical” Wnt/beta-catenin targeted genes including MYC (p = 0.009), MET (p & lt;0.0001), CDKN2A (p = 0.03), LGR5 (p = 0.0015), HNF1A (p = 0.003), and SOX9 (p = 0.01), while expression of other targeted genes TCF4 (p & lt;0.0001), TNC (p = 0.04) and NOTCH2 (p = 0.0006) were upregulated. Furthermore, these tumors were also characterized by attenuated activation of RAS/MAPK and growth factor-mediated signaling. Taken together, we have identified a specific subpopulation of colorectal cancers with distinct biological and prognostic features, indicating that a “fine-tune” classification of colorectal cancers is necessary to improve resolution of appropriate therapy. Citation Format: Mingli Yang, Michael J. Schell, Michael V. Nebozhyn, Andrey Loboda, Timothy J. Yeatman. Identification of a unique subpopulation of mesenchymal-like colorectal cancers associated with better survival. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3175.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 9
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 21, No. 3 ( 2022-03-01), p. 427-439
    Abstract: Targeting the programmed death 1/programmed death ligand 1 (PD-1/PD-L1) pathway with immunotherapy has revolutionized the treatment of many cancers. Somatic tumor mutational burden (TMB) and T-cell–inflamed gene expression profile (GEP) are clinically validated pan-tumor genomic biomarkers that can predict responsiveness to anti-PD-1/PD-L1 monotherapy in many tumor types. We analyzed the association between these biomarkers and the efficacy of PD-1 inhibitor in 11 commonly used preclinical syngeneic tumor mouse models using murinized rat anti-mouse PD-1 DX400 antibody muDX400, a surrogate for pembrolizumab. Response to muDX400 treatment was broadly classified into three categories: highly responsive, partially responsive, and intrinsically resistant to therapy. Molecular and cellular profiling validated differences in immune cell infiltration and activation in the tumor microenvironment of muDX400-responsive tumors. Baseline and on-treatment genomic analysis showed an association between TMB, murine T-cell–inflamed gene expression profile (murine-GEP), and response to muDX400 treatment. We extended our analysis to investigate a canonical set of cancer and immune biology-related gene signatures, including signatures of angiogenesis, myeloid-derived suppressor cells, and stromal/epithelial-to-mesenchymal transition/TGFβ biology previously shown to be inversely associated with the clinical efficacy of immune checkpoint blockade. Finally, we evaluated the association between murine-GEP and preclinical efficacy with standard-of-care chemotherapy or antiangiogenic agents that previously demonstrated promising clinical activity, in combination with muDX400. Our profiling studies begin to elucidate the underlying biological mechanisms of response and resistance to PD-1/PD-L1 blockade represented by these models, thereby providing insight into which models are most appropriate for the evaluation of orthogonal combination strategies.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 2062135-8
    SSG: 12
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  • 10
    In: Neuro-Oncology, Oxford University Press (OUP), Vol. 20, No. 4 ( 2018-03-27), p. 546-556
    Type of Medium: Online Resource
    ISSN: 1522-8517 , 1523-5866
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2018
    detail.hit.zdb_id: 2094060-9
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