Evidence map›Paper›PMID 34345533›Full record

ArticleOncoimmunology2021

Comprehensive analyses reveal TKI-induced remodeling of the tumor immune microenvironment in EGFR/ALK-positive non-small-cell lung cancer.

Yisheng Fang, Yuanyuan Wang, Dongqiang Zeng, Shimeng Zhi, Tingting Shu, Na Huang, Siting Zheng, Jianhua Wu, Yantan Liu, Genjie Huang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
9.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 72 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Yisheng FangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yuanyuan WangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Dongqiang ZengDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Shimeng ZhiDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Tingting ShuDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Na HuangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Siting ZhengDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Jianhua WuDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yantan LiuDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Genjie HuangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yichen XueDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Jianping BinDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yulin LiaoDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Min ShiDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Wangjun LiaoDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.ORCID 0000-0002-1364-8442
Nanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tyrosine kinase inhibitors (TKI) play a pivotal role in the treatment of non-small-cell lung cancer (NSCLC) with mutations in epidermal growth factor receptor (EGFR) and rearrangements in anaplastic lymphoma kinase (ALK). However, the influences of TKIs on the tumor immune microenvironment (TIM), especially dynamic changes of responders, have not yet been fully elucidated. Therefore, RNA sequencing and whole-exome sequencing were performed on EGFR/ALK-positive NSCLC samples before and after TKI treatment. In combination with neoantigen and mutational-load estimations, xCell and single-sample gene set enrichment analysis (ssGSEA) were used to assess tumor immune-cell infiltration and activity. Furthermore, weighted-gene correlation network analysis and the bottleneck method were used to identify the hub genes that affected treatment-related immune responses. We found that TKI treatment remodeled the TIM in treatment-responsive samples. Profound increases in the rate of anti-tumor cell infiltration and cytotoxicity was observed following TKI treatment, while antigen presentation was limited in ALK-rearranged samples. However, no significant change in anti-tumor cell infiltration or cytotoxicity was found between pre-treatment and post-progression samples. Subsequently, we found that neurofilament heavy (NEFH) mutations were enriched in samples after TKI treatment and were associated with reduced neutrophil infiltration. The cytotoxicity of EGFR-mutant NSCLCs with co-driver TP53 mutation and ALK-rearranged samples with wild-type TP53 seems to be more easily induced by TKI. Finally, the immune-associated score generated by hub genes was positively correlated with immune infiltration, immune activation, and a favorable prognosis. In conclusion, the dynamic changes in the TIM provide clues to drug selection and timing for TKI-immunotherapy combinations.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAnaplastic Lymphoma KinaseErbB ReceptorsHumansProtein Kinase InhibitorsTumor MicroenvironmentAnaplastic Lymphoma KinaseEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsALK rearrangementEGFR mutationnon-small-cell lung cancerTumor immune microenvironmenttyrosine kinase inhibitors

Identifiers

PMID34345533
PMCPMC8288040
OpenAlexW3183247032

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.