Evidence map›Paper›PMID 36028467›Full record

ArticleCancer science2022

Plasma exosomal DOK3 reflects immunological states in lung tumor and predicts prognosis of gefitinib treatment.

Ryosuke Ochiai, Kentaro Hayashi, Hiroshi Yamamoto, Risa Fujii, Naomi Saichi, Hiroki Shinchi, Tsuyoshi Ishida, Takeshi Honda, Tetsuo Shimizu, Noriyuki Matsutani and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 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
1.1field-weighted citation impact, top 22% 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, 8 citations in OpenAlex.

  1. Review
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  5. 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

13 authors at 4 institutions in 1 country.

Ryosuke OchiaiDivision of Medical Oncology, Department of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Kentaro HayashiDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, Tokyo, Japan.
Hiroshi YamamotoDepartment of Respiratory Medicine, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8907-3166
Risa FujiiCancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
Naomi SaichiCancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
Hiroki ShinchiCancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
Tsuyoshi IshidaDepartment of Pathology, Teikyo University School of Medicine, Tokyo, Japan.
Takeshi HondaDivision of Medical Oncology, Department of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Tetsuo ShimizuDivision of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, Tokyo, Japan.
Noriyuki MatsutaniDepartment of Surgery, Teikyo University Mizonokuchi Hospital, Kanagawa, Japan.
Nobuhiko SekiDivision of Medical Oncology, Department of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Masafumi KawamuraDepartment of Surgery, Teikyo University School of Medicine, Tokyo, Japan.
Koji UedaCancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9066-4959
Teikyo University · JPJapanese Foundation For Cancer Research · JPNihon University · JPTokyo Metropolitan Geriatric Hospital · JP

Funding

Nippon Boehringer Ingelheim Co., Ltd.
6 · The paper itself

Abstract

To identify liquid biomarkers that predict clinical outcomes of epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI), we enrolled patients with EGFR gene mutation-positive non-small-cell lung cancer who were intended to receive gefitinib treatment. Using plasma samples obtained prior to gefitinib treatment from 12 enrolled patients, we performed comprehensive proteomic analysis of plasma exosomes to explore proteins correlating with tumor reduction rate (TRR), progression-free survival (PFS), or overall survival (OS). Of the detected 1769 proteins, 119, 130, or 119 proteins demonstrated a strong correlation (|r| > 0.5) with TRR, PFS, or OS, respectively. Interestingly, 34 (29%), 41 (32%), or 27 (23%) of them, respectively, were functionally involved in the regulation of the immune response. CD8α chain was consistently listed as a molecule positively correlated with PFS and OS, suggesting that the long-lasting effects of gefitinib may be due to the antitumor effects of CD8

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungGefitinibLung NeoplasmsAdaptor Proteins, Signal TransducingCD8-Positive T-LymphocytesErbB ReceptorsExosomesHumansMutationPrognosisProtein Kinase InhibitorsProteomicsQuinazolinesAdaptor Proteins, Signal TransducingAntineoplastic AgentsDOK3 protein, humanErbB ReceptorsGefitinibProtein Kinase InhibitorsQuinazolinesDOK3exosomegefitinibnon-small-cell lung cancerproteomics

Identifiers

PMID36028467
PMCPMC9633313
OpenAlexW4292113147

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.