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  • 1
    In: International Journal of Cancer, Wiley, Vol. 142, No. 7 ( 2018-04), p. 1427-1439
    Abstract: What's new? Selecting the best available treatment for individual cancer patients based on their genomic makeup is a core goal of precision medicine, but better approaches are still needed. Using a network‐based approach and in vitro chemotherapy response data coupled with gene and miRNA expression profiles, here the authors identified markers not as individual molecules but as functional groups extracted from the integrated transcription factor and miRNA regulatory network. The network‐based algorithm and accompanying database may help identify novel types of drug resistance markers with better predictive performance and improve the understanding of transcriptional and post‐transcriptional regulation mechanisms involved in drug resistance.
    Type of Medium: Online Resource
    ISSN: 0020-7136 , 1097-0215
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2018
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  • 2
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2021-05-17)
    Abstract: The mechanisms driving therapeutic resistance and poor outcomes of mantle cell lymphoma (MCL) are incompletely understood. We characterize the cellular and molecular heterogeneity within and across patients and delineate the dynamic evolution of tumor and immune cell compartments at single cell resolution in longitudinal specimens from ibrutinib-sensitive patients and non-responders. Temporal activation of multiple cancer hallmark pathways and acquisition of 17q are observed in a refractory MCL. Multi-platform validation is performed at genomic and cellular levels in PDX models and larger patient cohorts. We demonstrate that due to 17q gain, BIRC5/survivin expression is upregulated in resistant MCL tumor cells and targeting BIRC5 results in marked tumor inhibition in preclinical models. In addition, we discover notable differences in the tumor microenvironment including progressive dampening of CD8+ T cells and aberrant cell-to-cell communication networks in refractory MCLs. This study reveals diverse and dynamic tumor and immune programs underlying therapy resistance in MCL.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
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  • 3
    In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 11, No. 10 ( 2021-10-01), p. 2506-2523
    Abstract: Little is known of the geospatial architecture of individual cell populations in lung adenocarcinoma (LUAD) evolution. Here, we perform single-cell RNA sequencing of 186,916 cells from five early-stage LUADs and 14 multiregion normal lung tissues of defined spatial proximities from the tumors. We show that cellular lineages, states, and transcriptomic features geospatially evolve across normal regions to LUADs. LUADs also exhibit pronounced intratumor cell heterogeneity within single sites and transcriptional lineage-plasticity programs. T regulatory cell phenotypes are increased in normal tissues with proximity to LUAD, in contrast to diminished signatures and fractions of cytotoxic CD8+ T cells, antigen-presenting macrophages, and inflammatory dendritic cells. We further find that the LUAD ligand–receptor interactome harbors increased expression of epithelial CD24, which mediates protumor phenotypes. These data provide a spatial atlas of LUAD evolution, and a resource for identification of targets for its treatment. Significance: The geospatial ecosystem of the peripheral lung and early-stage LUAD is not known. Our multiregion single-cell sequencing analyses unravel cell populations, states, and phenotypes in the spatial and ecologic evolution of LUAD from the lung that comprise high-potential targets for early interception. This article is highlighted in the In This Issue feature, p. 2355
    Type of Medium: Online Resource
    ISSN: 2159-8274 , 2159-8290
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 4
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    Springer Science and Business Media LLC ; 2016
    In:  Scientific Reports Vol. 6, No. 1 ( 2016-01-13)
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 6, No. 1 ( 2016-01-13)
    Abstract: miRNAs are key post-transcriptional regulators of many essential biological processes and their dysregulation has been validated in almost all human cancers. Restoring aberrantly expressed miRNAs might be a novel therapeutics. Recently, many studies have demonstrated that small molecular compounds can affect miRNA expression. Thus, prediction of associations between small molecules and miRNAs is important for investigation of miRNA-targeted drugs. Here, we analyzed 39 miRNA-perturbed gene expression profiles and then calculated the similarity of transcription responses between miRNA perturbation and drug treatment to predict drug-miRNA associations. At the significance level of 0.05, we obtained 6501 candidate associations between 1295 small molecules and 25 miRNAs, which included 624 FDA approved drugs. Finally, we constructed the Psmir database to store all potential associations and the related materials. In a word, Psmir served as a valuable resource for dissecting the biological significance in small molecules’ effects on miRNA expression, which will facilitate developing novel potential therapeutic targets or treatments for human cancers. Psmir is supported by all major browsers and is freely available at http://www.bio-bigdata.com/Psmir/ .
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
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  • 5
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    Springer Science and Business Media LLC ; 2016
    In:  Scientific Reports Vol. 6, No. 1 ( 2016-11-02)
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 6, No. 1 ( 2016-11-02)
    Abstract: Adverse drug reactions (ADRs) are responsible for drug failure in clinical trials and affect life quality of patients. The identification of ADRs during the early phases of drug development is an important task. Therefore, predicting potential protein targets eliciting ADRs is essential for understanding the pathogenesis of ADRs. In this study, we proposed a computational algorithm,Integrated Network for Protein-ADR relations (INPADR), to infer potential protein-ADR relations based on an integrated network. First, the integrated network was constructed by connecting the protein-protein interaction network and the ADR similarity network using known protein-ADR relations. Then, candidate protein-ADR relations were further prioritized by performing a random walk with restart on this integrated network. Leave-one-out cross validation was used to evaluate the ability of the INPADR. An AUC of 0.8486 was obtained, which was a significant improvement compared to previous methods. We also applied the INPADR to two ADRs to evaluate its accuracy. The results suggested that the INPADR is capable of finding novel protein-ADR relations. This study provides new insight to our understanding of ADRs. The predicted ADR-related proteins will provide a reference for preclinical safety pharmacology studies and facilitate the identification of ADRs during the early phases of drug development.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
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  • 6
    In: Nature Medicine, Springer Science and Business Media LLC, Vol. 29, No. 6 ( 2023-06), p. 1550-1562
    Type of Medium: Online Resource
    ISSN: 1078-8956 , 1546-170X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
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  • 7
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    Springer Science and Business Media LLC ; 2019
    In:  Journal of Solid State Electrochemistry Vol. 23, No. 6 ( 2019-6), p. 1715-1725
    In: Journal of Solid State Electrochemistry, Springer Science and Business Media LLC, Vol. 23, No. 6 ( 2019-6), p. 1715-1725
    Type of Medium: Online Resource
    ISSN: 1432-8488 , 1433-0768
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
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  • 8
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    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Vol. 83, No. 7_Supplement ( 2023-04-04), p. 1305-1305
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 1305-1305
    Abstract: Metastases from gastric adenocarcinoma (GAC) lead to high morbidity and mortality in the clinic. However, to date, the study of primary tumors with matched metastases from GAC patients has not been conducted, mainly because the collection of such samples in clinics is extremely challenging. To understand the evolution of metastatic cells and their interactions with the tumor microenvironment (TME), we performed paired single-cell transcriptome and immune profiling of primary tumors, matched liver metastases (LM) and/or peritoneal carcinomatosis (PC), adjacent normal, and blood specimens, a total of 68 samples collected from 20 treatment-naïve metastatic GAC patients. Our analysis revealed differentially remodeled TMEs across primary and metastatic sites, in particular, the B, T, and myeloid cells. Relative to normal tissues, the fractions of B lineage cells decreased significantly in primary GACs and were nearly depleted in LMs and PC samples. Consistently, T and B cell clonality decreased significantly in metastatic tumors, and the majority of the top expanded T cell clones were likely non-tumor specific. We discovered divergent evolutionary paths leading to diminished anti-tumor immune responses in the liver and peritoneal TMEs. For example, the Marco_c3 (highly expressed INHBA, SDC2, and CCL20) was highly enriched in LMs, whereas Marco_c1 (highly expressed APOE, APOC1, and C1QC) and proliferative macrophages were uniquely enriched in the peritoneal TME. In addition to TME cells, we defined normal epithelial cell states, quantified, and validated cancer cell state plasticity in paired primaries/metastases, and linked it to site-specific TME architectures. Notably, unlike PC cancer cells that displayed a greater degree of chromosomal instability, most LM cancer cells lost their lineage identity, embracing markedly increased epithelial-to-mesenchymal transition and “mixed” lineage states. Significant correlations between the fractions of TME cell subsets and the abundance of tumor cells in different lineage states were observed, suggesting potential crosstalk between tumor and TME cells. Lastly, we found differential activation of cancer meta-programs and gene co-expression modules (GMs) unique to metastatic tumors. Among them, high expression of GM2 in primary GACs predicts an increased risk of distant metastasis. In summary, this study provides a much needed and detailed understanding of the cellular and molecular basis of the phenotypic diversity of matched primary-metastases from GACs that have clinical implications. The single-cell multi-omics data generated by this study can serve as a valuable resource to the community to advance scientific discoveries. Citation Format: Enyu Dai, Jiang-Jiang Qin, Jibo Wu, Natasha M. Flores, Yanshuo Chu, Ruiping Wang, Minghao Dang, Zhiyuan Xu, Guangchun Han, Xuanye Cao, Can Hu, Jieer Ying, Yian Du, Litao Yang, Xiaoqing Guan, Shaowei Mo, Xiaoyin Lu, Ana Morales Benitez, Rebecca E. Waters, Melissa Pool Pizzi, Namita Shanbhag, Yibo Fan, Fuduan Peng, Andrew Futreal, Shumei Song, Cassian Yee, Pawel K. Mazur, Xiangdong Cheng, Jaffer A. Ajani, Linghua Wang. Cellular and molecular landscape of metastatic gastric cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1305.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 1194-1194
    Abstract: Introduction: Gastric adenocarcinoma (GAC), a global health burden, lacks detail understanding of the evolution-driven cellular/molecular programs that lead to GAC tumorigenesis followed by progression/metastases. How the TME is orchestrated by precancerous lesions, primary GAC, and in metastatic niches, when well understood, may propel us into an entirely new dimension with the hopes of novel therapeutics. However, only a few studies have investigated the immune/stromal subtypes of GAC with the limitation of scope, cohort size, and/or depth or mainly focused on the primary GACs. Here, we present an atlas of transcriptionally diverse TME across the full continuum of GAC by including peripheral blood, normal gastric tissues, premalignant lesions, localized, and metastatic GACs. Methods: We performed a comprehensive single-cell profiling of 68 specimens collected from 43 subjects including a total of 77,392 high-quality cells which revealed 62 unique cell states uncovering varying profiles. We defined alterations in TMEs that underscore initiation of tumorigenesis to eventual progression. Results: We found a striking preponderance of B lineage cells, primarily the IgA+ plasma cells, in TMEs of the precancerous lesions, whereas 3 immunosuppressive myeloid subsets dominated in advanced GACs. Fractions of GZMK+ effector CD8 T cells and progenitor exhausted CD8 T cells gradually increased as GACs progressed to advanced stages. In addition, our analysis revealed extensive stromal remodeling along the GAC continuum, which may have contributed to enhanced angiogenesis and immune suppressive signaling. The observations in the primary tumors could be validated in an independent scRNA-seq dataset. Notably, we uncovered 3 unique TME interactomes and defined 6 cellular environtypes inhabited by 62 TME cell subsets giving GAC to a novel landscape not yet defined. The two distinct environtypes in GAC primaries are validated in three independent large-scale GAC cohorts, giving credence and definition to previously established histopathological variables, genomic/molecular subtypes and clinical outcomes. The analysis of tumor associated stromal cells discovered SDC2 as an exploitable target to pursue. SDC2 was abundant in cancer associated fibroblasts (CAFs), and the abundance is validated in 3 independent single-cell GAC cohorts as well as at the protein level. SDC2 expression was significantly higher in advanced (vs. early) stages and diffuse (vs. intestinal) type of GAC, and SDC2 overexpression was associated with shorter survival in all 5 large-scale GAC cohorts. Lastly, we assessed the functional effects of SDC2 expression in CAFs on tumor growth in vivo in xenograft models and found SDC2 overexpression in CAFs contributes to tumor growth. Conclusion: This study provides an atlas of GAC TMEs from tumorigenesis to advanced GAC that could be further developed for novel therapeutics but also serves as a community resource. Citation Format: Ruiping Wang, Shumei Song, Jiangjiang Qin, Katsuhiro Yoshimura, Fuduan Peng, Yanshuo Chu, Yuan Li, Yibo Fan, Jiankang Jin, Minghao Dang, Enyu Dai, Guangsheng Pei, Guangchun Han, Yating Li, Deyali Chatterjee, Melissa P. Pizzi, Ailing W. Scott, Ghia Tatlonghari, Xinmiao Yan, Matheus Da Silva Sewastjanow, Ahmed Adel Fouad Abdelhakeem, Pawel K. Mazur, Xiangdong Cheng, Jaffer A. Ajani, Linghua Wang. Evolution of immune and stromal cell states during the gastric cancer continuum [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1194.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 6148-6148
    Abstract: Lung adenocarcinoma (LUAD) is the leading cause of cancer-related deaths in lifetime smokers. Relative to recent advances in immunotherapy of advanced-stage LUAD, there are very limited strategies for early immune-based treatment or interception of the malignancy in its primitive stages. This is largely due to a poor understanding of the roles and functional phenotypes of distinct immune cell subsets and how they evolve early in LUAD pathogenesis. For instance, while T cells have been a central focus of cancer immunopathology and immunotherapy, the roles of tumor-infiltrating B and plasma cells (TIBs) in the activity of the adaptive immune response along the pathogenic course of solid tumors such as LUAD are extremely poorly understood. To fill these voids, we conducted pan-cancer single-cell RNA sequencing (scRNA-seq) analysis of TIBs using public and in-house cohorts of & gt;15 cancers and matched normal samples. We found that fractions of TIBs, including plasma cells (PCs), were evidently high in the tumor microenvironment (TME) of LUADs, particularly in smokers. We then performed multi-region paired scRNA-seq and single-cell B cell receptor sequencing (scBCR-seq) of tumors and three matched normal lung (NL) tissue samples with varying spatial proximity from each of the tumors of 16 early-stage LUAD patients. Fractions of TIBs including PCs and memory B cells were immensely increased in the TME of early-stage LUADs compared to uninvolved NL, and conversely, the abundance of naïve B cells was markedly decreased. TIB fractions were progressively increased along the pathologic continuum of NL, premalignant lesions (PMLs), up to invasive LUAD. Consistently, expression of the B cell chemotactic CXCL13 - CXCR5 axis in T cells and TIBs, respectively, was increased in both PMLs and LUADs relative to NL. Simultaneous scBCR-seq revealed markedly reduced clonality of BCR repertoires in LUAD compared to NL. Multi-region NL tissues showed progressively increasing BCR clonotype diversity and immunoglobin somatic hypermutation (SHM) with increasing proximity to tumors. BCR clonality was strikingly lower in smoker LUADs relative to non-smoker tumors as well as progressively attenuated with increasing pathologic stage. TIBs in the LUAD TME were mostly composed of terminally differentiated IgA+ or IgG+ PCs and memory B cells with an immunosuppressive phenotype. To understand how TIBs shape the LUAD TME, we also profiled interactions of TIBs with other TME cell components and identified TIB subsets showing strong co-occurrence patterns with immunosuppressive T cell subsets. By comprehensively defining transcriptional profiles, SHM and antibody repertories, as well as cellular interactions of TIBs at single-cell resolution, our results map out the geospatial landscape of TIBs in early-stage LUAD and provide a valuable resource to leverage targets for innovative immunomodulatory strategies. Citation Format: Dapeng Hao, Guangchun Han, Ansam Sinjab, Lorena Gomez Bolanos, Rossana Lazcano Segura, Enyu Dai, Luisa Maren Solis Soto, Edwin Parra, Jennifer Wargo, Stephen Swisher, Tina Cascone, Boris Sepesi, Junya Fujimoto, Steven Dubinett, Ignacio Wistuba, Christopher Stevenson, Avrum Spira, Humam Kadara, Linghua Wang. Immunogenomic landscape of tumor-infiltrating B and plasma cells in early-stage lung adenocarcinoma [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 6148.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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