Evidence map›Paper›PMID 35571392›Full record

ArticleAnnals of translational medicine2022

The utility of sputum supernatant as an alternative liquid biopsy specimen for next-generation sequencing-based somatic variation profiling.

Ling Qin, Ting Guo, Huaping Yang, Pengbo Deng, Qihua Gu, Chi Liu, Mengping Wu, Analyn Lizaso, Bing Li, Sa Zhang and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Liquid biopsy in lung cancer.Breathe (Sheffield, England) · 2025
    Review
  5. 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

12 authors at 3 institutions in 1 country.

Ling QinDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.
Ting GuoDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.
Huaping YangDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.
Pengbo DengDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.
Qihua GuDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.
Chi LiuDepartment of Physiology, Xiangya School of Medicine, Central South University, Changsha, China.
Mengping WuDepartment of Physiology, Xiangya School of Medicine, Central South University, Changsha, China.
Analyn LizasoBurning Rock Biotech, Guangzhou, China.
Bing LiBurning Rock Biotech, Guangzhou, China.
Sa ZhangBurning Rock Biotech, Guangzhou, China.
Zhiqiu ChenBurning Rock Biotech, Guangzhou, China.
Chengping HuDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.
Central South University · CNBurning Rock Biotech (China) · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Comprehensive genomic profiling has become standard clinical practice in the management of advanced lung cancer. In addition to tissue and plasma, other body fluids are also being actively explored as alternative sources of tumor DNA. This study investigated the utility of induced sputum obtained from patients with non-small-cell lung cancer (NSCLC) for somatic variation profiling. Methods: Our study included 41 treatment-naïve patients diagnosed with locally advanced to advanced NSCLC between October 2018 and June 2019. Capture-based targeted sequencing was performed on matched tumor, plasma, and induced sputum samples of 41 patients using a 168-gene panel. We analyzed the somatic variations detected from each sample type and the concordance of variations detected between matched samples. The concordance rate was defined as the proportion of the total number of variations detected from one sample type relative to the reference sample type. Results: Comparative analysis on the somatic variation detection using matched tumor samples as a reference revealed detection rates of 76.9% for plasma, 72.4% for sputum-supernatant, and 65.7% for sputum-sediment samples. Plasma, sputum-supernatant, and sputum-sediment achieved positive predictive values of 73.3%, 80.4%, and 55.6% and sensitivities of 50.0%, 36.9%, 31.3%, respectively, relative to tumor samples for 168 genes. Sputum-supernatants had significantly higher concordance rates relative to matched tumor samples (69.2% Conclusions: Our study demonstrated that supernatant fraction from induced sputum is a better sampling source than its sediment and performs comparably to plasma samples. Induced sputum from NSCLC patients could serve as an alternative media for next-generation sequencing (NGS)-based somatic variation profiling.

Indexed as

alternative specimenmolecular testingnon-small-cell lung cancer (NSCLC)Sputumtumor DNA

Identifiers

PMID35571392
PMCPMC9096409
OpenAlexW4225001627

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.