Evidence map›Paper›PMID 29088743›Full record

ArticleOncotarget2017

Sachiko Arai, Kenji Kita, Azusa Tanimoto, Shinji Takeuchi, Koji Fukuda, Hiroshi Sato, Seiji Yano

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Development and Characterization of a Patient-DerivedJTO clinical and research reports · 2026
    Article
  2. Clinicopathologic characteristics and diagnostic methods ofTranslational lung cancer research · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. AcquiredJCO precision oncology · 2018
    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

7 authors at 1 institution in 1 country.

Sachiko AraiDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Kenji KitaDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Azusa TanimotoDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Shinji TakeuchiDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Koji FukudaDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Hiroshi SatoDivision of Molecular Virology and Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Seiji YanoDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Kanazawa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rearranged during transfection (RET) fusion-positive non-small cell lung cancer (NSCLC) accounts for approximately 1-2% of all NSCLCs. To date, RET fusions that involve at least six fusion partners in NSCLC, such as KIF5B, CCDC6, NCOA4, TRIM33, CLIP1, and ERC1, have been identified. Recent clinical trials for RET fusion-positive NSCLC using vandetanib or cabozantinib demonstrated positive clinical response and considerable differential activities for RET inhibitors among fusion partners. Alectinib, an approved ALK inhibitor, is reported to inhibit KIF5B-RET and CCDC6-RET. However, the activity of alectinib with respect to RET with other fusion partners is unknown. In the present study, we investigated the effects of alectinib on NCOA4-RET fusion-positive tumor cells

Indexed as

alectiniblung cancerNCOA4-RETpleural carcinomatosisRET fusion

Identifiers

PMID29088743
PMCPMC5650298
OpenAlexW2615567263

What OpenQuestion holds

Textmetadata
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.