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  • 1
    In: British Journal of Cancer, Springer Science and Business Media LLC, Vol. 127, No. 3 ( 2022-08-01), p. 569-576
    Type of Medium: Online Resource
    ISSN: 0007-0920 , 1532-1827
    RVK:
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
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  • 2
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-09-09)
    Abstract: Tumor extracellular matrix has been associated with drug resistance and immune suppression. Here, proteomic and RNA profiling reveal increased collagen levels in lung tumors resistant to PD-1/PD-L1 blockade. Additionally, elevated collagen correlates with decreased total CD8 + T cells and increased exhausted CD8 + T cell subpopulations in murine and human lung tumors. Collagen-induced T cell exhaustion occurs through the receptor LAIR1, which is upregulated following CD18 interaction with collagen, and induces T cell exhaustion through SHP-1. Reduction in tumor collagen deposition through LOXL2 suppression increases T cell infiltration, diminishes exhausted T cells, and abrogates resistance to anti-PD-L1. Abrogating LAIR1 immunosuppression through LAIR2 overexpression or SHP-1 inhibition sensitizes resistant lung tumors to anti-PD-1. Clinically, increased collagen, LAIR1, and TIM-3 expression in melanoma patients treated with PD-1 blockade predict poorer survival and response. Our study identifies collagen and LAIR1 as potential markers for immunotherapy resistance and validates multiple promising therapeutic combinations.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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  • 3
    In: Journal of Food Protection, Elsevier BV, Vol. 78, No. 3 ( 2015-03), p. 525-530
    Type of Medium: Online Resource
    ISSN: 0362-028X
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2015
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    SSG: 21
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 5443-5443
    Abstract: Introduction: Atypical adenomatous hyperplasia (AAH) is the only recognized preneoplasia of lung adenocarcinoma, which can progress to adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and eventually to invasive adenocarcinoma (ADC). A more complete understanding of the early carcinogenesis of lung cancer is critical for lung cancer early detection and interception. However, studying these lung cancer precursors is challenging because these lesions are often insufficient for molecular and immune profiling. Artificial intelligence (AI)-based studies on H & E histopathology images, termed pathomics, have achieved substantial progress in revealing heterogeneous phenotypic characteristics of various cancers. However, pathomics on lung precancerous progression and their correlation with genomic features remain underexplored. Methods: We curated FFPE H & E slides from two ethnic groups, including the Caucasian cohort containing 46 lesions with 170 regions of interest (ROI) (74 AAH, 10 AIS, 21 MIA, and 65 ADC) and the Asian cohort containing 128 lesions with 369 ROIs (59 AAH, 84 AIS, 77 MIA, and 149 ADC). We adopted the expert-in-the-loop strategy to develop a deep learning pipeline to segment and annotate the cells within ROI into three categories: epithelial, lymphocyte, and other. Next, we measured the ratio and density of epithelial cells and lymphocytes inside each ROI as pathomics features. Finally, we interrogated ROI-level features and examined their correlation with molecular and immune features in the Asian cohort. Results: We observed a progressive increase in the ratio and density of epithelial cells and a progressive decrease in the ratio and density of lymphocytes defined by the AI model from AAH to AIS, MIA, and ADC, consistent with the same trends defined by T cell receptor (TCR) sequencing and multiplex immunofluorescence (mIF). When correlating pathomics features with molecular/immune features, the epithelial cell ratio exhibited prominent positive correlations with the frequency of allelic imbalance (rho=0.588, p=4.71e-13) and nonsynonymous mutation burden (rho=0.453, p=1.03e-7). In contrast, the lymphocyte ratio showed a notable negative correlation with copy number variation burden (rho=-0.412, p=1.61e-6). Conclusion: Employing AI tools to analyze HE images of lung precancerous lesions, we revealed that molecular and immune evolution during early lung carcinogenesis is consistent with the results from complicated, time-consuming, and expensive molecular/immune profiling, which requires a large number of tissue specimens, highlighting the potential of pathomics in the study of cancer biology, particularly in diseases having limited tissue specimens. Citation Format: Pingjun Chen, Frank Rojas, Xin Hu, Junya Fujimoto, Alejandra Serrano, Bo Zhu, Lingzhi Hong, Rukhmini Bandyopadhyay, Muhammad Aminu, Maliazurina B. Saad, Morteza Salehjahromi, Sheeba J. Sujit, Neda Kalhor, Harvey I. Pass, Andre L. Moreira, Ignacio I. Wistuba, Don L. Gibbons, John V. Heymach, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu. Pathomics reveals the molecular and immune evolution from lung preneoplasia to invasive adenocarcinoma. [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 5443.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 5
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 1827-1827
    Abstract: Approximately 15% of all patients with non-small cell lung cancer (NSCLC) and nearly 35% of Asian patients with NSCLC harbor activating mutations within the epidermal growth factor receptor (EGFR). Although these patients are initially highly sensitive to first or second generation EGFR tyrosine kinase inhibitors (TKIs) including erlotinib or third-generation inhibitors including osimertinib, EGFR TKI-refractory disease inevitably emerges. While therapeutic strategies to target resistant disease that emerges though secondary EGFR mutations or MET amplification have been developed, there remains a void of therapeutic options for patients where resistance occurs through EGFR-independent mechanism such as epithelial to mesenchymal transition (EMT) or transformation to small cell lung cancer (SCLC). To identify cell surface proteins that could be targeted by antibody-based or adoptive cell therapy approaches we interrogated RNAseq data from EGFR mutant NSCLC cell lines (HCC827 and HCC4006) and their associated EGFR TKI resistant variants previously shown to have developed resistance through EMT and filtered gene expression data to include only genes which transcribed proteins localized to the cell surface. We identified CD70 as a being highly upregulated in EGFR TKI resistant cells (p = 7.2e-42). Given that CD70 expression is highly restricted and only transiently expressed on immune cells, CD70 was selected as a top candidate cell surface protein for targeting studies. Western blotting and flow cytometry analysis confirmed CD70 protein levels to be highly upregulated in EGFR TKI resistant cells that had undergone EMT but not in cells harboring secondary EGFR mutations or MET amplifications. We also observed CD70 upregulation in osimertinib-treated drug tolerant persister cells, indicating that CD70 upregulation is an early event in the evolution of TKI resistance. Moreover, patient-derived models of acquired EGFR TKI resistance also exhibited CD70 positivity. Our data also indicated that in EGFR mutant NSCLC cells, CD70 could be upregulated through decreased CD70 promoter methylation as well as by the EMT regulators, transforming growth factor-β (TGF-β) and ZEB1, both of which were upregulated in TKI resistant cells. In EGFR TKI resistant cells, CD70 knockdown impaired cell viability and invasiveness, and stimulation of CD70 using the exogenous binding partner CD27 resulted in activation of AKT and MAPK, pathways known to be re-activated with acquired TKI resistance. CD70-targeting approaches including anti-CD70 antibody drug conjugates (ADCs) and CD70-targeting CAR T cell and CAR NK cells showed promising in vitro and in vivo activity against CD70 positive tumor cells and in osimertinib drug-tolerant persister cells. These results identify CD70 as a novel therapeutic target for EGFR mutant tumors with acquired EGFR TKI resistance that merits further investigation in the clinic. Citation Format: Monique B. Nilsson, Yan Yang, Sonia Patel, Simon Heeke, Xiuning Le, Thiru Aruguman, Jacqulyne Robichaux, Xiaoxing Yu, Alissa Poteete, Xiaoyang Ren, Lixia Diao, Li Shen, Qi Wang, Fahao Zhang, Leticia Campos Clemente, Luisa Solis Soto, Chunhua Shi, Hai Tran, Jason Bock, Jing Wang, Ignacio I. Wistuba, John D. Minna, John V. Heymach. CD70 is a novel therapeutic target for EGFR mutant NSCLC with acquired, EMT-associated EGFR TKI resistance [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 1827.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 4525-4525
    Abstract: Neuroendocrine carcinomas (NECs) are clinically aggressive carcinomas commonly arising from the respiratory and gastrointestinal tracts, typically categorized as large-cell neuroendocrine carcinomas (LCNECs) or small cell carcinomas (most commonly small cell lung cancer (SCLC)). Clinically, pulmonary LCNECs (pLCNECs) mirror the course common to SCLC - initial response followed by rapid and insurmountable resistance to one-size-fits-all approaches. Recently, SCLC has been subdivided into four subtypes with unique vulnerabilities, three of which are defined by the transcription factors ASCL1, NEUROD1, and POU2F3, while a fourth group exhibits an inflamed signature. We hypothesize that pLCNEC may be similarly classified into molecularly distinct subsets with unique therapeutic vulnerabilities - a fundamental step toward personalized medicine. We applied our SCLC 1300 gene signature to pLCNEC patient tumors and, as in SCLC, found three distinct subtypes determined by differential expression of ASCL1, NEUROD1, and POU2F3, but with a unique fourth subtype marked by expression of the transcription factor YAP1. Unlike in treatment-naïve SCLC, where YAP1 is absent, YAP1 expression clearly defines pLCNEC as two, roughly equal subsets with the YAP1-low tumors encompassing tumors expressing the other three transcription factors. Conversely, YAP1-high pLCNEC is more mesenchymal and inflamed, and less neuroendocrine (NE), reminiscent of inflamed SCLC. Additionally, YAP1-high status is associated with smoking exposure (P & lt;0.001, FC=81), high frequency of CDKN2A homozygous deletion and SMARCA4 mutations, as well as intact RB1. These features are distinct from SCLC, wherein transcriptional subtypes lack distinct genomic characteristics. Consistent with CDKN2A deletion, YAP1-high pLCNEC cell lines have increased sensitivity to MEK1 and CDK4/6 inhibition. We also demonstrate that RB1 loss downregulates YAP1 expression, which may account for the absence of YAP1 in treatment-naïve SCLC due to ubiquitous loss of RB1. In contrast to treatment-naïve SCLC, where our group and others have been unable to detect YAP1, single-cell RNAseq analysis of biopsies from patients with relapsed SCLC identified emerging YAP1-positive cancer cell populations, which are similarly associated with increased EMT, immune cell infiltration (CD8+ T-cells), and loss of NE gene expression. This suggests that the ability for cancer cells to acquire YAP1 expression and, perhaps, pLCNEC-like features, may be a resistance mechanism in relapsed SCLC, contributing to the abundant intratumoral heterogeneity and highlighting potential vulnerabilities to overcome resistance. In summary, YAP1 may be a predictive biomarker of intact RB1 and response to cellular and checkpoint immunotherapy and MEK1/CDK4/6 inhibition in pLCNEC and relapsed SCLC. Citation Format: C. Allison Stewart, Lixia Diao, Yuanxin Xi, Runsheng Wang, Kavya Ramkumar, B. Leticia Rodriguez, Benjamin B. Morris, Li Shen, Bingnan Zhang, Yan Yang, Azusa Tanimoto, Veronica Y. Novegil, Luisa M. Solis Soto, Pedro F. Simoes da Rocha, Natalie Vokes, Don L. Gibbons, Michael Frumovitz, Junya Fujimoto, Jing Wang, Bonnie Glisson, Lauren A. Byers, Carl M. Gay. YAP1 in relapsed pulmonary high-grade neuroendocrine carcinomas (NEC) is associated with CDKN2A loss, intact RB1, EMT and therapeutic vulnerability to MEK1 and CDK4/6 inhibition. [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 4525.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 6513-6513
    Abstract: Introduction: An improved understanding of early lung carcinogenesis may facilitate development of novel diagnostic, screening, and prevention strategies to decrease lung cancer mortality. We have previously led a series of studies on the molecular and immune landscape of lung adenocarcinoma (LUAD) precursors. However, resected human specimens only provide molecular snapshots. Here, we sought to establish and characterize human-relevant murine lung precancer models to depict molecular evolution during early lung carcinogenesis and to provide novel insights for lung cancer interception. Methods: We have established 3 genetically engineered mouse models (GEMMs) (K: KrasLSL-G12D/+, KP: KrasLSL-G12D/+/Trp53R172H/+, KL: KrasLSL-G12D/+/Lkb1fl/fl) and 2 carcinogen-induced models (CITMs) (UWT: Urethane in wild type mice, URG: Urethane in Rag2−/− mice). Lung tissues were serially collected at multiple time points after induction and subjected to whole exome sequencing (WES), single cell RNA sequencing (scRNA-seq), spatial transcriptomics (Visium), and imaging mass cytometry (IMC). Results: Pathological review of specimens from 252 mice revealed normal lung, precancers and LUAD at different timepoints mirroring the evolution of human LUAD. Overall, the tumor burden was significantly higher in GEMMs than CITMs (p & lt;0.05). Tumor mutation burden progressively increased with progression from precancers to LUADs across all models. scRNA-seq demonstrated a progressive decrease of CD4+ T cell, CD8+ T cell, NK cell, and B cell infiltration in all models except the B/T cell-deficient WRG model; and a progressive increase of neutrophils (in KL model) and macrophages (in K, KP, UWT and URG models) along with progression of precancers. These findings were confirmed by spatial Visium and IMC profiling. Infiltration of T cells, B cells and NK cells inside tumors was not different between GEMMs (K, KP, KL) and CITMs (UWT). However, UWT showed significantly higher density of immune cells at the peritumor regions (P & lt;0.05). Compared to the immune-competent UWT model, the B/T-cell deficient URG model showed similar progression and tumor burden at early phases, but rapid progression and larger tumor burden in the later phases. URG had no mature B/T cells but significantly higher NK cell infiltration than UWT (p & lt;0.05). Conclusion: We have established 5 murine carcinogen-dependent and -independent precancer models, morphologically resembling human LUAD and its precursors. Although progressive immunosuppression along with progression of lung precancers is universal across all models, the evolution patterns and the molecular/immune features underlying immunosuppression vary in different models, particularly between CITMs and GEMMs. These models may be valuable assets for studying early lung carcinogenesis and lung cancer interception. Citation Format: Bo Zhu, Jian-Rong Li, Hong Chen, Pingjun Chen, Junya Fujimoto, Yanhua Tian, Muhammad Aminu, Chenyang Li, Lingzhi Hong, Alexandre Reuben, Edwin Roger Parra Cuentas, Ou Shi, Monique Nilsson, Alissa Poteete, Shawna Hubert, Khaja Khan, Wei Lu, Daniel Kraushaar, Xingzhi Song, Jianhua Zhang, Don Gibbons, Luisa Solis Soto, Ignacio Wistuba, Jia Wu, John Heymach, Chao Cheng, Jianjun Zhang. Single cell and spatial profiling reveal molecular and immune evolution from precancers to invasive lung adenocarcinomas in genetic and carcinogen-induced mouse models. [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 6513.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 2658-2658
    Abstract: Introduction Gallbladder adenocarcinoma (GBC) is a relatively rare malignancy with high mortality rate due to late stage discovery. At advanced-stages, there are limited treatment options, and most patients develop resistance to chemotherapy. Adapting the recent major advances in cancer immunotherapy specifically to GBC will require a deep understanding of the immune landscape. Our aim is to characterize Immune Checkpoint markers (IC), Tumor infiltrating Lymphocytes (TILs), and Myeloid cells (MCs), and associate them with cancer genomic alterations, clinic-pathological information, and patient survival. Methods We selected formalin-fixed and paraffin-embedded tumor tissues from surgically resected primary GBC (n=97 patients) without neoadjuvant therapy to construct a tissue microarray. Tumor samples were collected from two institutions (MD Anderson Cancer Center (MDACC), USA, n=53; Sotero del Rio Hospital (SRH), Chile, n=44). We performed immunohistochemistry with the following biomarkers: IC (PD-1, PD-L1, LAG-3, TIM-3, B7-H3, B7-H4, VISTA, ICOS, OX-40, IDO1), TILs (CD3, CD4, CD8, CD45RO, CD57, GZB, FOXP-3, CD20), and MCs (CD68, CD11b, CD14). The evaluation of PD-L1, B7-H3, B7-H4, and IDO1 was performed in malignant cells and scored as percentage of positive cells. The TILs and IC were scored as cell densities (n/mm2) using digital image analysis. Tumors were classified in 4 types based on PD-L1 expression and CD8 densities (cut-off median): I (PD-L1+/CD8high), II (PD-L1-/CD8low), III (PD-L1+/CD8low), and IV (PD-L1-/CD8high). Next Generation sequencing platform T200 was used to access genomic alterations in a subset of cases (n=58). Results Expression of PD-L1, B7-H3, B7-H4, and IDO1 (cutoff ≥1%) was 4, 12, 7, and 22 % respectively. From all tumors, 49% were type IV, 47% type II, 3% type I, and 1% type III. Comparing MDACC and SRH cohort, densities of CD3, CD4, TIM3, and PD-1 were higher in tumors from SRH (p & lt;0.001) while CD68 was higher in tumors from MDACC (p & lt;0.001). Higher CD57 was observed in pT1/pT2 tumors compared to pT3/pT4 (pT, pathological T) (p=0.003). Lower densities of VISTA (p =0.005 Long rank test) (cut-off: top quartile) correlated with higher overall survival rates in SRH cohort. The most frequent genomic alterations were (%): mutation in TP53 (38), SMAD4 (10), KRAS (10), ARID2 (9), BRCA2 (5); and amplifications in CCNE1 (14), ERRB2 (12) and MDM2/CDK4 (7). Mutations in ARID1A/ARID2/PBRM1 pathway had lower TIM3 densities (p=0.004), mutations in BRAF/KRAS had lower CD3, PD1 and ICOS densities (p=0.048; 0.004 and 0.0001 respectively), and mutations on PTEN/PI3KCA had lower CD68 densities (p=0.033). Amplifications of CCNE1 and ERBB2 had lower densities of OX40 (p=0.013; 0.029 respectively). Conclusions We characterize the immunological landscape of gallbladder adenocarcinoma. Most tumors were immune ignorant or tolerant (Type II or IV). Different genomic alterations may have distinct immune patterns. Citation Format: Fernando Cintra Lopes Carapeto, Luisa Maren Solis Soto, Wai Chin Foo, Wei Lu, Eduardo A. Vinuela Fawaz, Miguel A. Villaseca, Eduardo Alberto Vega Pizarro, Juan C. Araya, Ignacio I. Wistuba, Javle Milind, Pant Shubham, Lawrence Kwong. Immunological and mutational landscape of gallbladder adenocarcinoma [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 2658.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 9
    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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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 71, No. 8_Supplement ( 2011-04-15), p. 392-392
    Abstract: Background: CXCR2 plays an important role in inflammation, and stimulation of CXCR2-expressing endothelial cells by ELR+ CXC chemokines promotes angiogenesis. Our goal was to study the expression of CXCR2 by tumor cells and its impact on prognosis in NSCLC. Material and Methods: CXCR2 expression was determined using immunohistochemistry and a large set of tissue microarray including 458 NSCLC. The association between cytoplasmic CXCR2 (cCXCR2) expression in tumor cells and clinico-pathological factors as well as survival was analyzed. Distribution of CXCR2 and its ligands (IL8, CXCL1, CXCL2, CXCL3, CXCL5, CXCL6 and CXCL7) gene expression was studied using publicly available gene expression profiles from 52 NSCLC cell lines (GSE4824) and 444 lung adenocarcinomas (adc) (NCI Director's Challenge). To summarize the effect of CXCR2/CXCR2 ligands biological axis, Principal Component Analysis (PCA) and unsupervised hierarchical clustering were performed using CXCR2 and its ligands gene expression in both cell lines and lung adc. The first Principal Component (PC1) was correlated (Pearson) with the whole genome in 52 NSCLC cell lines. All genes were ranked according to their correlation with PC1, and used for Gene Set Enrichment Analysis (GSEA) “pre-ranked” analysis. Results: Using the median of expression to dichotomize the patients in a high versus low expression group, 238 (52.1%) tumors expressed high cCXCR2. No association was observed with gender, race, smoking habits, histology, and stage. High cCXCR2 was associated with overall survival (Hazard ratio (HR) 1.5696; confidence interval (CI)=1.176-2.096, p-value=0.002) and recurrence-free survival (HR 1.321; CI=1.027-1.698, p-value=0.030) in a univariate Cox proportional hazards (CPH) model. High cCXCR2 remained significant for overall in a multicovariate CPH after adjusting for age, gender, histology, stage, neoadjuvant chemotherapy for overall survival (HR 1.465; CI=1.088-1.972, p-value=0.012) and a trend was observed for recurrence-free survival (HR 1.261; CI=0.973-1.633, p-value=0.080). Gene expression distribution of CXCR2 and its ligands were strikingly similar in cell lines and lung adc. In both cases, hierarchical clustering showed a cluster mostly driven by CXCR2, CXCL5, and CXCL7, representing 20% of the samples. PC1 accounted for 48.25 and 46.15% of the variation of the PCA in cell lines and lung adc respectively. KRAS and NFKB oncogenic pathways were the top 2 gene sets associated with PC1. Using the median as a cutoff, PC1 was associated with a worse overall survival in 444 lung adc (Log-rank P=0.006). Conclusion: cCXCR2 expression in NSCLC tumor cells is frequent and associated with an adverse outcome. CXCR2/CXCR2 ligands biological axis may be associated with an activation of KRAS and NFKB pathways, and a poor prognosis in lung adc. Funding Source: Department of Defense-VITAL. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 392. doi:10.1158/1538-7445.AM2011-392
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2011
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