Evidence map›Paper›PMID 34791810›Full record

ArticleThoracic cancer2022

Circulating tumor DNA predicts the outcome of chemotherapy in patients with lung cancer.

Min Zhang, Chao Huang, Huan Zhou, Dan Liu, Runze Chen, Xiuhua Li, Ye Cheng, Bing Gao, Jun Chen

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 34 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

9 authors at 2 institutions in 2 countries.

Min Zhang *Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China.ORCID 0000-0003-4506-8212
Chao Huang *Department of Pathology and Forensics, Dalian Medical University, Dalian, China.
Huan Zhou *Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China.
Dan Liu *Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China.
Runze Chen *School of Bioengineering, Dalian University of Technology, Dalian, China.
Xiuhua LiDepartment of Oncology, The Second Hospital of Dalian Medical University, Dalian, China.
Ye ChengDepartment of Oncology, The Third Hospital of Dalian Medical University, Dalian, China.
Bing GaoDepartment of Oncology, The Third Hospital of Dalian Medical University, Dalian, China.
Jun ChenDepartment of Oncology, The Second Hospital of Dalian Medical University, Dalian, China.
Dalian Medical University · CNDalian University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating tumor DNA (ctDNA) has potential as a specific, noninvasive, and cost-effective new biomarker for patients with lung cancer. This study aimed to determine whether plasma ctDNA can be used to predict treatment outcomes in patients with lung cancer.

methodsPre- and in-treatment blood samples were collected from 14 patients with lung cancer receiving chemotherapy. Based on next-generation sequencing technology, we constructed a unique molecular identifier (UMI) library and performed targeted deep sequencing of 72 genes (15 000×). We used dVAF to evaluate the change level and trend of variant allele frequency (VAF).

resultsWe identified MUC16, KMT2D, AMER1, and NTRK1 as the most-frequently mutated genes in ctDNA associated with lung cancer. Furthermore, we showed that the change trend of dVAF in patients with lung cancer undergoing chemotherapy was closely related to the changes in both tumor volume and tumor biomarkers, including CEA, CA125, NSE, and CK (Cytokeratin). Moreover, the ctDNA analysis revealed disease progression of SCLC patients earlier than did computed tomography.

conclusionsThe dynamic detection of plasma ctDNA VAF has the potential value as a biomarker for evaluating the efficacy of chemotherapy in patients with SCLC and advanced NSCLC, and may predict the progression of lung cancer patients earlier than radiography.

Indexed as

AgedBiomarkers, TumorCirculating Tumor DNADisease ProgressionDrug TherapyFemaleHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleMiddle AgedMutationBiomarkers, TumorCirculating Tumor DNAchemotherapycirculating tumor DNAlung cancerunique molecular identifiers

Identifiers

PMID34791810
PMCPMC8720633
OpenAlexW3211951539

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.