Evidence map›Paper›PMID 31999390›Full record

ArticleCancer medicine2020

Detection of AXL expression in circulating tumor cells of lung cancer patients using an automated microcavity array system.

Mio Ikeda, Yasuhiro Koh, Shunsuke Teraoka, Koichi Sato, Kuninobu Kanai, Atsushi Hayata, Nahomi Tokudome, Hiroaki Akamatsu, Yuichi Ozawa, Keiichiro Akamatsu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Cancers · 2026
    Article
  2. Review
  3. AXL signaling in cancer: from molecular insights to targeted therapies.Signal transduction and targeted therapy · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
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

15 authors at 2 institutions in 1 country.

Mio IkedaInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Yasuhiro KohInternal Medicine III, Wakayama Medical University, Wakayama, Japan.ORCID 0000-0002-8758-8980
Shunsuke TeraokaInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Koichi SatoInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Kuninobu KanaiInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Atsushi HayataInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Nahomi TokudomeInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Hiroaki AkamatsuInternal Medicine III, Wakayama Medical University, Wakayama, Japan.ORCID 0000-0001-5856-5512
Yuichi OzawaInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Keiichiro AkamatsuInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Katsuya EndoMedical Business Sector, Hitachi Chemical Co., Ltd., Chikusei, Japan.
Masayuki HiguchiMedical Business Sector, Hitachi Chemical Co., Ltd., Chikusei, Japan.
Masanori NakanishiInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Hiroki UedaInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Nobuyuki YamamotoInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Wakayama Medical University · JPHitachi (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninvasive diagnostics using circulating tumor cells (CTCs) are expected to be useful for decision making in precision cancer therapy. AXL, a receptor tyrosine kinase is associated with tumor progression, epithelial-to-mesenchymal transition (EMT), and drug resistance, and is a potential therapeutic target. However, the epithelial markers generally used for CTC detection may be not enough to detect AXL-expressing CTCs due to EMT. Here, we evaluated the detection of AXL-expressing CTCs using the mesenchymal marker vimentin with a microcavity array system. To evaluate the recovery of cancer cells, spike-in experiments were performed using cell lines with varying cytokeratin (CK) or vimentin (VM) expression levels. With high CK and low VM-expressing cell lines, PC-9 and HCC827, the recovery rate of AXL-expressing cancer cells was 1%-17% using either CK or VM as markers. Whereas, with low CK and high VM-expressing cell lines, MDA-MB231 and H1299, it was 52%-75% using CK and 72%-88% using VM as a marker. For clinical evaluation, peripheral blood was collected from 20 non-small cell lung cancer patients and CTCs were detected using CK or VM as markers in parallel. Significantly more AXL-expressing single CTCs were detected in VM-positive than CK-positive CTCs (P < .001). Furthermore, CTC clusters were identified only among VM-positive CTCs in 20% of patients. Patients with one or more prior treatments harbored significantly more VM-positive AXL-expressing CTCs, suggesting the involvement of these CTCs in drug resistance. These results indicate the necessity of integrating mesenchymal markers with CTC detection and this should be further evaluated clinically.

Indexed as

AgedAged, 80 and overAntineoplastic AgentsAxl Receptor Tyrosine KinaseCarcinoma, Non-Small-Cell LungCell Line, TumorCell SeparationDrug Resistance, NeoplasmFeasibility StudiesFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplastic Cells, CirculatingProto-Oncogene ProteinsAntineoplastic AgentsAXL protein, humanAxl Receptor Tyrosine KinaseProto-Oncogene ProteinsReceptor Protein-Tyrosine KinasesVimentinVIM protein, humanAXLcirculating tumor cellsepithelial-to-mesenchymal transitionliquid biopsylung cancer

Identifiers

PMID31999390
PMCPMC7064033
OpenAlexW3004097632

What OpenQuestion holds

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LicenceCC BY
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.