Evidence map›Paper›PMID 30110953›Full record

ArticleCancers2018

Assessment of the Mutational Status of NSCLC Using Hypermetabolic Circulating Tumor Cells.

Matteo Turetta, Michela Bulfoni, Giulia Brisotto, Gianpiero Fasola, Andrea Zanello, Eva Biscontin, Laura Mariuzzi, Agostino Steffan, Carla Di Loreto, Daniela Cesselli and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  13. Strategies to overcome acquired resistance to EGFR TKI in the treatment of non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019
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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

11 authors at 4 institutions in 1 country.

Matteo TurettaDepartment of Medicine, University of Udine, P.le Kolbe 4, 33100 Udine, Italy. matteo.turetta@uniud.it.ORCID 0000-0001-6446-6764
Michela BulfoniDepartment of Medicine, University of Udine, P.le Kolbe 4, 33100 Udine, Italy. michela.bulfoni@uniud.it.
Giulia BrisottoImmunopathology and Cancer Biomarkers, C.R.O. Aviano National Cancer Institute IRCCS, via F. Gallini 2, 33081 Aviano (PN), Italy. gbrisotto@cro.it.ORCID 0000-0001-5514-7032
Gianpiero FasolaUdine Academic Hospital, P.le Santa Maria della Misericordia 15, 33100 Udine, Italy. gianpiero.fasola@asuiud.sanita.fvg.it.
Andrea ZanelloDepartment of Medicine, University of Udine, P.le Kolbe 4, 33100 Udine, Italy. zanello.andrea@spes.uniud.it.
Eva BiscontinImmunopathology and Cancer Biomarkers, C.R.O. Aviano National Cancer Institute IRCCS, via F. Gallini 2, 33081 Aviano (PN), Italy. eva.biscontin@gmail.com.
Laura MariuzziDepartment of Medicine, University of Udine, P.le Kolbe 4, 33100 Udine, Italy. laura.mariuzzi@uniud.it.
Agostino SteffanImmunopathology and Cancer Biomarkers, C.R.O. Aviano National Cancer Institute IRCCS, via F. Gallini 2, 33081 Aviano (PN), Italy. asteffan@cro.it.
Carla Di LoretoDepartment of Medicine, University of Udine, P.le Kolbe 4, 33100 Udine, Italy. carla.diloreto@uniud.it.
Daniela CesselliDepartment of Medicine, University of Udine, P.le Kolbe 4, 33100 Udine, Italy. daniela.cesselli@uniud.it.
Fabio Del BenDepartment of Medicine, University of Udine, P.le Kolbe 4, 33100 Udine, Italy. fabio.delben@cro.it.ORCID 0000-0002-1880-0669
University of Udine · ITCentro di Riferimento Oncologico · ITOspedale Santa Maria della Misericordia di Udine · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular characterization is currently a key step in NSCLC therapy selection. Circulating tumor cells (CTC) are excellent candidates for downstream analysis, but technology is still lagging behind. In this work, we show that the mutational status of NSCLC can be assessed on hypermetabolic CTC, detected by their increased glucose uptake. We validated the method in 30 Stage IV NSCLC patients: peripheral blood samples were incubated with a fluorescent glucose analog (2-NBDG) and analyzed by flow cytometry. Cells with the highest glucose uptake were sorted out. EGFR and KRAS mutations were detected by ddPCR. In sorted cells, mutated DNA was found in 85% of patients, finding an exact match with primary tumor in 70% of cases. Interestingly, in two patients multiple KRAS mutations were detected. Two patients displayed different mutations with respect to the primary tumor, and in two out of the four patients with a wild type primary tumor, new mutations were highlighted: EGFR p.746_750del and KRAS p.G12V. Hypermetabolic CTC can be enriched without the need of dedicated equipment and their mutational status can successfully be assessed by ddPCR. Finally, the finding of new mutations supports the possibility of probing tumor heterogeneity.

Indexed as

CTCglucose uptakeliquid biopsymetabolismnon-small cell lung cancer

Identifiers

PMID30110953
PMCPMC6115779
OpenAlexW2887646154

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.