Evidence map›Paper›PMID 28223509›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

High-throughput screening of rare metabolically active tumor cells in pleural effusion and peripheral blood of lung cancer patients.

Yin Tang, Zhuo Wang, Ziming Li, Jungwoo Kim, Yuliang Deng, Yan Li, James R Heath, Wei Wei, Shun Lu, Qihui Shi

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 76 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Yin TangKey Laboratory of Systems Biomedicine (Ministry of Education), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Zhuo WangKey Laboratory of Systems Biomedicine (Ministry of Education), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Ziming LiShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai, 200030, China.
Jungwoo KimNanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA 91125.
Yuliang DengKey Laboratory of Systems Biomedicine (Ministry of Education), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yan LiShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai, 200071, China.
James R HeathNanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA 91125.
Wei WeiNanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA 91125; weiwei@mednet.ucla.edu lushun@csco.org.cn qihuishi@sjtu.edu.cn.
Shun LuShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai, 200030, China; weiwei@mednet.ucla.edu lushun@csco.org.cn qihuishi@sjtu.edu.cn.
Qihui ShiKey Laboratory of Systems Biomedicine (Ministry of Education), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China; weiwei@mednet.ucla.edu lushun@csco.org.cn qihuishi@sjtu.edu.cn.
Shanghai Jiao Tong University · CNUniversity of California, Los Angeles · USCalifornia Institute of Technology · USShanghai Chest Hospital · CNShanghai Traditional Chinese Medicine Hospital · CN

Funding

Repurposing of cancer therapeutics for treatment of patients with COVID-19 diseaseU54CA199090 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI HEATH, JAMES R., RIBAS, ANTONI · 2015 to 2020
$11.4M
NCI NIH HHS U54 CA199090
6 · The paper itself

Abstract

Malignant pleural effusion (MPE), the presence of malignant cells in pleural fluid, is often the first sign of many cancers and occurs in patients with metastatic malignancies. Accurate detection of tumor cells in pleural fluid is crucial because the presence of MPE denotes an advanced stage of disease and directs a switch in clinical managements. Cytology, as a traditional diagnostic tool, has limited sensitivity especially when tumor cells are not abundant, and may be confounded by reactive mesothelial cells in the pleural fluid. We describe a highly sensitive approach for rapid detection of metabolically active tumor cells in MPE via exploiting the altered glucose metabolism of tumor cells relative to benign cells. Metabolically active tumor cells with high glucose uptake, as evaluated by a fluorescent glucose analog (2-NBDG), are identified by high-throughput fluorescence screening within a chip containing 200,000 addressable microwells and collected for malignancy confirmation via single-cell sequencing. We demonstrate the utility of this approach through analyzing MPE from a cohort of lung cancer patients. Most candidate tumor cells identified are confirmed to harbor the same driver oncogenes as their primary lesions. In some patients, emergence of secondary mutations that mediate acquired resistance to ongoing targeted therapies is also detected before resistance is manifested in the clinical imaging. The detection scheme can be extended to analyze peripheral blood samples. Our approach may serve as a valuable complement to cytology in MPE diagnosis, helping identify the driver oncogenes and resistance-leading mutations for targeted therapies.

Indexed as

4-Chloro-7-nitrobenzofurazanA549 CellsAntigens, NeoplasmBiomarkers, TumorCarcinoembryonic AntigenCell Line, TumorDeoxyglucoseDiagnosis, DifferentialGlucoseHigh-Throughput Screening AssaysHumansLeukocytesLung NeoplasmsPleural EffusionPleural Effusion, MalignantPositron-Emission Tomography2-(N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino)-2-deoxyglucose4-Chloro-7-nitrobenzofurazanAntigens, NeoplasmBiomarkers, TumorCarcinoembryonic AntigenDeoxyglucoseGlucoseCTCdiagnosisglucose uptakelung cancerpleural effusion

Identifiers

PMID28223509
PMCPMC5347549
OpenAlexW2590054727

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.