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  • American Society of Clinical Oncology (ASCO)  (6)
  • Behrens, Carmen  (6)
  • 2015-2019  (6)
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  • American Society of Clinical Oncology (ASCO)  (6)
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  • 2015-2019  (6)
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Subjects(RVK)
  • 1
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. 8538-8538
    Abstract: 8538 Background: In many types of cancer, infiltration of tumor by immune cells, as a reflection of the immune response against the tumor, is thought to play a critical role in clinical outcome. Tumors, however, tend to evade the immune response as they progress. In this study, we characterize the interplay between immune infiltration and tumor progression and survival in non-small cell lung cancer (NSCLC). Methods: We performed histologic immune profiling and microarray expression analysis on primary tumor specimens from 275 NSCLC patients (PR: PROSPECT trial) as well as RNA-Seq expression analysis on biopsy specimens from 50 patients with advanced NSCLC (B2: BATTLE-2 trial). RNA-Seq data from the TCGA lung cancer project was also analyzed. Immune Infiltration Score (IIS) was computed from the expression data using the Estimate package in R. Immune Suppression Score (ISS) was defined as the difference between the mean of CD3, CD4, CD8, FOXP3, and PD1 counts in the periphery and core of the tumor. Results: Tumor IIS is correlated (all p 〈 0.0005) with tumor immune infiltration as measured by inflammatory cell count on frozen tumor or several immune marker counts in tumor core. IIS is positively associated with survival (p = 0.04) independently of age (p = 0.008) and stage (p = 8e-10). IIS in the top half is associated with higher median survival vs. bottom half (10.2 vs 2.2 months, p 〈 0.0001) in B2. In TCGA lung adenocarcinoma samples, IIS is higher in stage I/II disease vs stage III/IV (p = 0.003). For all immune markers in PR samples, periphery of the tumor on average has higher counts vs tumor core (p 〈 0.0011), and this difference (suppression score) is higher in stage III/IV samples vs stage I/II for CD3, CD4, and CD8 (all p 〈 0.04) and for FOXP3 and PD1 (p 〈 0.1). ISS is negatively associated with survival (p = 0.02) independently of age (p = 0.06) and stage (p 〈 0.0001). Conclusions: As NSCLC tumors progress, immune infiltration in the periphery of the tumor increases while infiltration in the core decreases, reflecting increasing immune suppression. Tumor immune infiltration and suppression, as measured by IIS and ISS, are significant predictors of survival, independently of age and stage.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 5_suppl ( 2018-02-10), p. 140-140
    Abstract: 140 Background: Non-small cell lung cancer (NSCLC) is characterized by a high mutational load. Accordingly, it is also among the tumor types which respond best to immune checkpoint blockade, likely through its ability to enhance the anti-tumor T cell response. However, the lung is constantly exposed to the outside environment, which may result in a continuous state of inflammation targeting pathogens rather than tumor cells. Therefore, a greater understanding of the T cell receptor (TCR) landscape and phenotypes across normal lung and tumor is warranted. Methods: Here, we performed sequencing of the CDR3 variable region of the beta chain of the TCR as well as whole exome sequencing on peripheral blood, normal lung and tumor in 235 NSCLC patients. We further analyzed the immune microenvironment by Cytometry by Time-of-Flight (CyTOF) in 10 NSCLC patients with paired normal lung and tumor. Results: Comparison of the TCR repertoire showed 9% (up to 15%) of T cells were shared between normal lung and tumor, though the most dominant were generally shared (up to 95%). Interestingly, T cell clonality was higher in the normal lung than tumor in almost all patients (89%, p 〈 0.0001) suggesting potential differences in the ongoing immune response in different regions of the lung. A substantial number of non-synonymous exonic mutations (NSEM) were detected in tumors (average = 566 NSEM) but also in the normal lung (average = 156 NSEM), with many shared (up to 45.6%). CyTOF confirmed marked differences in the immune microenvironment, including higher frequency of VISTA+ antigen-presenting cells in the tumor (p = 0.04). Finally, analysis of clinicopathological attributes revealed a greater T cell diversity in the periphery in patients with increased overall survival (OS, p = 0.001), while patients with a more similar normal lung/tumor T cell repertoire showed decreased OS (p = 0.028). Conclusions: These results suggest that a substantial proportion of infiltrating T cells in NSCLC tumors may be lung-resident T cells associated with response to environmental factors. However, normal lung and NSCLC tumors carry T cells of distinct phenotypes, which highlights differences in the ongoing antigenic response within the lung.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 3
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 33, No. 15_suppl ( 2015-05-20), p. 7530-7530
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2015
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 4
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. 8545-8545
    Abstract: 8545 Background: Our previous study has suggested that complex genomic intratumor heterogeneity (gITH) was associated with an increased risk of relapse in patients with localized lung adenocarcinomas (LUAD). We have launched a study to investigate molecular and immune profile ITH of Stage IA NSCLC (a patient population with no optimal biomarker to guide postsurgical therapy) to understand the molecular evolution during early carcinogenesis and to identify biomarkers for early detection and intervention. Here, we report the preliminary analysis on gITH. Methods: We performed multiregion whole exome sequencing on 30 Stage IA LUAD and matched normal lung tissue to a median sequencing depth of 494x. 15 patients have relapsed within 3 years post-surgery (cases) and 15 patients have not relapsed with a minimum of 5-year postsurgical follow up (controls). Cases and controls are 1:1 matched for the key prognostic factors including tumor size, smoking status, age, gender, ethnicity and lobectomy or wedge resection. Shannon diversity index (SDI) was used to quantify ITH in each individual tumor. Kaplan-Meier method was used to evaluate the relationship between ITH and disease-free survival (DFS) as well as overall survival (OS). Results: Consistent with our previous study, 108 of 110 (98.2%) canonical cancer gene mutations were shared events by all regions of individual tumor. Compared to non-relapsed controls, tumors from relapsed cases demonstrated significantly higher degree of ITH (SDI of 1.78 in cases vs 1.58 for controls, p = 0.016). Higher degree of gITH was associated with shorter DFS (p = 0.008) and shorter OS (p = 0.0153). Significantly higher mutation burden was observed in tumors from relapsed patients (median of 10.86 mutations per MB in cases vs 7.45 mutations per MB in controls, p = 0.03). Analysis of gITH on a larger cohort and on predicted neoantigen, methylation, gene expression and immune profiles are in progress. Conclusions: Majority of cancer gene mutations are clonal events during early carcinogenesis of LUAD. Complex gITH may be associated with more aggressive biology and inferior clinical outcome in patients with Stage IA LUAD, therefore, may be evaluated as a potential biomarker.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 5
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. 8570-8570
    Abstract: 8570 Background: Histopathology, largely determined by morphology, plays a critical role in choosing appropriate treatment for lung cancer. The understanding of molecular determination of lung cancer histology is rudimentary. Our recently published data (Zhang, Science, 2014 and Liu, Nature Communications, 2016) have demonstrated that within the same patients with identical genetic background and identical exposure, tumor regions with different morphologic appearances may have very similar genomic profiles while tumors with the same morphology may have distinct genomic landscape. Methods: We collected 12 lung cancers of mixing histology with 2 to 4 histologic components within each tumor. In total, 26 tumor regions including 9 adenocarcinomas, 6 large-cell neuroendocrine carcinoma, 6 small cell carcinomas and 4 squamous cell carcinomas and one poorly differentiated lung carcinoma were microdissected and subjected to whole exome sequencing. Results: A substantial number of identical mutations were shared between different histologic components within the same tumor in all 12 patients. However, the proportion of shared mutations varies in different patients ranging from as little as 4% to as much as 99%. Mutation spectrum is also similar between different histologic components within the same tumors suggesting similar mutational process in place. Identical canonical cancer gene mutations including TP53, KRAS, PIK3CA, SOS1 and STK11 are generally shared between different histologic components within the same tumors. Canonical mutations in FBXW7 and MTHFR were detected in squamous component, but not small-cell component in one patient. Conclusions: Different histologic components of lung cancers of mixing histology are likely derived from the same progenitor cells, but the molecular timing of branch separation of subclones giving rise to different histologic components varies in different tumors. Although genomic aberrations may play a role in a subset of tumors, histologic features may not be determined at genomic level for most lung cancers. Gene expression and methylation analyses from these tumors are underway.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 6
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 15_suppl ( 2018-05-20), p. 8576-8576
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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