Evidence map›Paper›PMID 36167530›Full record

ArticleBMC cancer2022

Liquid biopsy using ascitic fluid and pleural effusion supernatants for genomic profiling in gastrointestinal and lung cancers.

Huita Wu, Haonan Ji, Wenhui Yang, Min Zhang, Yifang Guo, Bangkai Li, Jiayin Wang, Rongrong Chen, Yuan Chen, Xin Wang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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 7 institutions in 1 country.

Huita Wu *Department of Oncology, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
Haonan Ji *Department of Oncology, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
Wenhui Yang *Shanxi Bethune Hospital, Taiyuan, China.
Min Zhang *School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Yifang GuoDepartment of Oncology and Hematology, Xiamen Haicang Hospital, Xiamen, 361026, Fujian, China.
Bangkai LiEmergency Department (Outpatient Chemotherapy Center), The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, Kunming, 650118, Yunnan, China.
Jiayin WangSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Rongrong ChenGeneplus-Beijing, Beijing, China.
Yuan ChenDepartment of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. chenyuan008@163.com.
Xin WangDepartment of Oncology, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China. szzj1997@163.com.
Xi'an Jiaotong University · CNZhongshan Hospital of Xiamen University · CNFujian Medical University · CNHuazhong University of Science and Technology · CNKunming Medical University · CNShanxi Academy of Medical Sciences · CNXiamen Chang Gung Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrecision medicine highlights the importance of incorporating molecular genetic testing into standard clinical care. Next-generation sequencing can detect cancer-specific gene mutations, and molecular-targeted drugs can be designed to be effective for one or more specific gene mutations. For patients with special site metastases, it is particularly important to use appropriate samples for genetic profiling. This study aimed to determine whether genomic profiling using ASC and PE is effective in detecting genetic mutations.

methodsTissues, plasma, ascites (ASC) supernatants, and pleural effusion (PE) samples from gastrointestinal cancer patients with peritoneal metastasis and lung cancer patients with pleural metastasis were collected for comprehensive genomic profiling. The samples were subjected to next-generation sequencing using a panel of 59 or 1021 cancer-relevant genes panel.

resultsA total of 156 tissues, 188 plasma samples, 45 ASC supernatants, and 1 PE samples from 304 gastrointestinal cancer patients and 446 PE supernatants, 122 tissues, 389 plasma samples, and 45 PE sediments from 407 lung cancer patients were analyzed. The MSAF was significantly higher in ASC and PE supernatant than that in plasma ctDNA (50.00% vs. 3.00%, p < 0.0001 and 28.5% vs. 1.30%, p < 0.0001, respectively). The ASC supernatant had a higher actionable mutation rate and more actionable alterations than the plasma ctDNA in 26 paired samples. The PE supernatant had a higher total actionable mutation rate than plasma (80.3% vs. 48.4%, p < 0.05). The PE supernatant had a higher frequency of uncommon variations than the plasma regardless of distant organ metastasis.

conclusionASC and PE supernatants could be better alternative samples when tumor tissues are not available, especially in patients with only peritoneal or pleural metastases.

Indexed as

Circulating Tumor DNAGastrointestinal NeoplasmsLung NeoplasmsPleural EffusionAscitic FluidGenomicsHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyMutationCirculating Tumor DNAAscitesNext generation sequencingPeritoneal metastasisPleural effusionPleural metastasis

Identifiers

PMID36167530
PMCPMC9513868
OpenAlexW4297313099

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.