Evidence map›Paper›PMID 30203147›Full record

ArticleJournal of cancer research and clinical oncology2018

Correlation of genomic alterations between tumor tissue and circulating tumor DNA by next-generation sequencing.

Ya-Sian Chang, Hsin-Yuan Fang, Yao-Ching Hung, Tao-Wei Ke, Chieh-Min Chang, Ting-Yuan Liu, Yu-Chia Chen, Dy-San Chao, Hsi-Yuan Huang, Jan-Gowth Chang

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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 2 institutions in 1 country.

Ya-Sian ChangEpigenome Research Center, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan, Republic of China. d6781@mail.cmuh.org.tw.
Hsin-Yuan FangDepartment of Thoracic Surgery, China Medical University Hospital, Taichung, Taiwan, Republic of China.
Yao-Ching HungDepartment of Obstetrics and Gynecology, China Medical University Hospital, Taichung, Taiwan, Republic of China.
Tao-Wei KeDepartment of Colorectal Surgery, China Medical University Hospital, Taichung, Taiwan, Republic of China.
Chieh-Min ChangDepartment of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan, Republic of China.
Ting-Yuan LiuCenter for Precision Medicine, China Medical University Hospital, Taichung, Taiwan, Republic of China.
Yu-Chia ChenCenter for Precision Medicine, China Medical University Hospital, Taichung, Taiwan, Republic of China.
Dy-San ChaoDepartment of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan, Republic of China.
Hsi-Yuan HuangDepartment of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan, Republic of China.
Jan-Gowth ChangEpigenome Research Center, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan, Republic of China.ORCID http://orcid.org/0000-0003-0375-1427
China Medical University · TWAsia University · TW

Funding

China Medical University Hospital (TW) DMR107-100Taiwan Ministry of Health and Welfare Clinical Trial Center MOHW107-TDU-B-212-123004
6 · The paper itself

Abstract

purposeAnalysis of circulating tumor DNA (ctDNA) offers an unbiased and noninvasive way to assess the genetic profiles of tumors. This study aimed to analyze mutations in ctDNA and their correlation with tissue mutations in patients with a variety of cancers.

methodsWe included 21 cancer patients treated with surgical resection for whom we collected paired tissue and plasma samples. Next-generation sequencing (NGS) of all exons was performed in a targeted human comprehensive cancer panel consisting of 275 genes.

resultsSix patients had at least one mutation that was concordant between tissue and ctDNA sequencing. Among all mutations (n = 35) detected by tissue and blood sequencing, 20% (n = 7) were concordant at the gene level. Tissue and ctDNA sequencing identified driver mutations in 66.67% and 47.62% of the tested samples, respectively. Tissue and ctDNA NGS detected actionable alterations in 57.14% and 33.33% of patients, respectively. When somatic alterations identified by each test were combined, the total proportion of patients with actionable mutations increased to 71.43%. Moreover, variants of unknown significance that were judged likely pathogenic had a higher percentage in ctDNA exclusively. Across six representative genes (PIK3CA, CTNNB1, AKT1, KRAS, TP53, and MET), the sensitivity and specificity of detection using mutations in tissue sample as a reference were 25 and 96.74%, respectively.

conclusionsThis study indicates that tissue NGS and ctDNA NGS are complementary rather than exclusive approaches; these data support the idea that ctDNA is a promising tool to interrogate cancer genetics.

Indexed as

MutationAdultAgedBiomarkers, TumorCirculating Tumor DNAFemaleGenome, HumanHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedNeoplasmsReproducibility of ResultsSensitivity and SpecificityBiomarkers, TumorCirculating Tumor DNAActionable mutationsCtDNADriver mutationsNGS

Identifiers

PMID30203147
PMCPMC11813330
OpenAlexW2891277491

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.