Evidence map›Paper›PMID 34013324›Full record

ArticleBriefings in bioinformatics2021

Identification of genetic variations associated with drug resistance in non-small cell lung cancer patients undergoing systemic treatment.

Ruihan Luo, Chuang Ge, Xiao Xiao, Jing Song, Shiqi Miao, Yongyao Tang, Jiayi Lai, Weiqi Nian, Fangzhou Song, Longke Ran

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 14 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

10 authors at 3 institutions in 1 country.

Ruihan LuoDepartment of Bioinformatics, The Basic Medical School of Chongqing Medical University, China.
Chuang GeClinical Laboratory of Chongqing University Cancer Hospital, China.
Xiao XiaoDepartment of Surgery, The First Affiliated Hospital of Chongqing Medical University, China.
Jing SongMolecular and Tumor Research Center, Chongqing Medical University, China.
Shiqi MiaoMolecular and Tumor Research Center, Chongqing Medical University, China.
Yongyao TangMolecular and Tumor Research Center, Chongqing Medical University, China.
Jiayi LaiDepartment of Bioinformatics, The Basic Medical School of Chongqing Medical University, China.
Weiqi NianPhase 1 Clinical Trial Center of Chongqing University Cancer Hospital, China.
Fangzhou SongMolecular and Tumor Research Center, Chongqing Medical University, China.
Longke RanDepartment of Bioinformatics, The Basic Medical School of Chongqing Medical University, China.
Chongqing Medical University · CNChongqing University · CNFirst Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is characterized by relatively rapid response to systemic treatments yet inevitable resistance and predisposed to distant metastasis. We thus aimed at performing sequencing analysis to determine genomic events and underlying mechanisms concerning drug resistance in NSCLC. We performed targeted sequencing of 40 medication-relevant genes on plasma samples from 98 NSCLC patients and analyzed impact of genetic alterations on clinical presentation as well as response to systemic treatments. Profiling of multi-omics data from 1024 NSCLC tissues in public datasets was carried out for comparison and validation of identified molecular events implicated in resistance. A genetic association of CYP2D6 deletion with drug resistance was identified through circulating tumor DNA (ctDNA) profiling and response assessment. FCGR3A amplification was potentially involved in resistance to EGFR inhibitors. We further verified our findings in tissue samples and focused on potential resistance mechanisms, which uncovered that depleted CYP2D6 affected a set of genes involved in EMT, oncogenic signaling as well as inflammatory pathways. Tumor microenvironment analysis revealed that NSCLC with CYP2D6 loss manifested increased levels of immunomodulatory gene expressions, PD-L1 expression, relatively high mutational burden and lymphocyte infiltration. DNA methylation alterations were also found to be correlated with mRNA expressions and copy numbers of CYP2D6. Finally, MEK inhibitors were identified by CMap as the prospective therapeutic drugs for CYP2D6 deletion. These analyses identified novel resistance mechanisms to systemic NSCLC treatments and had significant implications for the development of new treatment strategies.

Indexed as

Biomarkers, TumorGenetic VariationAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungComputational BiologyDatabases, GeneticDNA Copy Number VariationsDNA MethylationDrug Resistance, NeoplasmEpigenesis, GeneticFemaleGenomicsHumansLung NeoplasmsBiomarkers, Tumordrug targetgenomic alterationNSCLCresistancesystemic treatment

Identifiers

PMID34013324
PMCPMC8574960
OpenAlexW3161321660

What OpenQuestion holds

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Registered trials

None linked

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.