Evidence map›Paper›PMID 35534835›Full record

ArticleBMC medicine2022

Reliability analysis of exonic-breakpoint fusions identified by DNA sequencing for predicting the efficacy of targeted therapy in non-small cell lung cancer.

Weihua Li, Rui Wan, Lei Guo, Geyun Chang, Dong Jiang, Lin Meng, Jianming Ying

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 22 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

7 authors at 2 institutions in 1 country.

Weihua Li *Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuan Nanli, Beijing, 100021, China. liweihua@cicams.ac.cn.
Rui Wan *Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lei GuoDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuan Nanli, Beijing, 100021, China.
Geyun ChangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dong JiangBeijing Novogene Bioinformatics Technology Co., Ltd., Beijing, China.
Lin MengBeijing Novogene Bioinformatics Technology Co., Ltd., Beijing, China.
Jianming YingDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuan Nanli, Beijing, 100021, China. jmying@cicams.ac.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNNovogene Bioinformatics Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiverse genomic breakpoints of fusions that localize to intronic, exonic, or intergenic regions have been identified by DNA next-generation sequencing (NGS), but the role of exonic breakpoints remains elusive. We investigated whether exonic-breakpoint fusions could predict matched targeted therapy efficacy in non-small cell lung cancer (NSCLC).

methodsNSCLC samples were analyzed by DNA NGS, RNA NGS, immunohistochemistry (IHC), and fluorescence in situ hybridization.

resultsUsing DNA NGS, kinase fusions were identified in 685 of 7148 (9.6%) NSCLCs, with 74 harboring exonic-breakpoint fusions, mostly anaplastic lymphoma kinase (ALK) fusions. RNA NGS and IHC revealed that 11 of 55 (20%) exonic-breakpoint fusions generated no aberrant transcript/protein, possibly due to open reading frame disruption or different gene transcriptional orientations. Four cases of genomic-positive but RNA/protein-negative fusions were treated with matched targeted therapy, but progressive disease developed within 2 months. Nevertheless, 44 of 55 (80%) exonic-breakpoint fusions produced chimeric transcripts/proteins, possibly owing to various alternative splicing patterns, including exon skipping, alternative splice site selection, and intron retention. Most of these genomic- and RNA/protein-positive fusion cases showed a clinical response to matched targeted therapy. Particularly, there were no differences in objective response rate (P = 0.714) or median progression-free survival (P = 0.500) between intronic-breakpoint (n = 56) and exonic-breakpoint ALK fusion subtypes (n = 11) among ALK RNA/protein-validated patients who received first-line crizotinib.

conclusionsExonic-breakpoint fusions may generate in-frame fusion transcripts/proteins or not, and thus are unreliable for predicting the efficacy of targeted therapy, which highlights the necessity of implementing RNA or protein assays for functional validation in exonic-breakpoint fusion cases.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsDNAExonsHigh-Throughput Nucleotide SequencingHumansIn Situ Hybridization, FluorescenceOncogene Proteins, FusionReproducibility of ResultsRNASequence Analysis, DNADNAOncogene Proteins, FusionRNAAlternative splicingDNA sequencingExonic-breakpoint fusionNon-small cell lung cancerTargeted therapy

Identifiers

PMID35534835
PMCPMC9087946
OpenAlexW4229441886

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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.