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Unique Immune Gene Expression Patterns in Bronchoalveolar Lavage and Tumor Adjacent Non-Neoplastic Lung Tissue in Non-Small Cell Lung Cancer

Overview of attention for article published in Frontiers in immunology, February 2018
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Title
Unique Immune Gene Expression Patterns in Bronchoalveolar Lavage and Tumor Adjacent Non-Neoplastic Lung Tissue in Non-Small Cell Lung Cancer
Published in
Frontiers in immunology, February 2018
DOI 10.3389/fimmu.2018.00232
Pubmed ID
Authors

Chih-Hsi Scott Kuo, Chien-Ying Liu, Stelios Pavlidis, Yu-Lun Lo, Yen-Wen Wang, Chih-Hung Chen, How-Wen Ko, Fu-Tsai Chung, Tin-Yu Lin, Tsai-Yu Wang, Kang-Yun Lee, Yi-Ke Guo, Tzu-Hao Wang, Cheng-Ta Yang

Abstract

The immune cells in the local environments surrounding non-small cell lung cancer (NSCLC) implicate the balance of pro- and antitumor immunity; however, their transcriptomic profiles remain poorly understood. A transcriptomic microarray study of bronchoalveolar lavage (BAL) cells harvested from tumor-bearing lung segments was performed in a discovery group. The findings were validated (1) in published microarray datasets, (2) in an independent group by RT-qPCR, and (3) in non-diseased and tumor adjacent non-neoplastic lung tissue by immunohistochemistry and in BAL cell lysates by immunoblotting. The differential expression of 129 genes was identified in the discovery group. These genes revealed functional enrichment in Fc gamma receptor-dependent phagocytosis and circulating immunoglobulin complex among others. Microarray datasets analysis (n = 607) showed that gene expression of BAL cells of tumor-bearing lung segment was also the unique transcriptomic profile of tumor adjacent non-neoplastic lung of early stage NSCLC and a significantly gradient increase of immunoglobulin genes' expression for non-diseased lungs, tumor adjacent non-neoplastic lungs, and tumors was identified (ANOVA,p < 2 × 10-16). A 53-gene signature was determined with significant correlation with inhibitory checkpointPDCD1(r = 0.59,p = 0.0078) among others, where the nine top genes includingIGJandIGKCwere RT-qPCR validated with high diagnostic performance (AUC: 0.920, 95% CI: 0.831-0.985,p = 2.98 × 10-7). Increased staining and expression of IGKC revealed by immunohistochemistry and immunoblotting in tumor adjacent non-neoplastic lung tissues (Wilcoxon signed-rank test,p < 0.001) and in BAL cell lysates (p < 0.01) of NSCLC, respectively, were noted. The BAL cells of tumor-bearing lung segments and tumor adjacent non-neoplastic lung tissues present a unique gene expression characterized by IGKC in relation to inhibitory checkpoints. Further study of humoral immune responses to NSCLC is warranted.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Doctoral Student 2 11%
Researcher 2 11%
Professor > Associate Professor 2 11%
Student > Master 2 11%
Other 4 21%
Unknown 3 16%
Readers by discipline Count As %
Medicine and Dentistry 7 37%
Biochemistry, Genetics and Molecular Biology 3 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Neuroscience 1 5%
Unknown 6 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 March 2018.
All research outputs
#16,606,298
of 25,411,814 outputs
Outputs from Frontiers in immunology
#18,183
of 31,614 outputs
Outputs of similar age
#271,949
of 454,545 outputs
Outputs of similar age from Frontiers in immunology
#449
of 664 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,614 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 454,545 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 664 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.