Evidence map›Paper›PMID 34445353›Full record

ArticleInternational journal of molecular sciences2021

Expression of Cancer Stem Cell Markers EpCAM and CD90 Is Correlated with Anti- and Pro-Oncogenic EphA2 Signaling in Hepatocellular Carcinoma.

Nobuhiko Asakura, Naotoshi Nakamura, Atsushi Muroi, Yosui Nojima, Taro Yamashita, Shuichi Kaneko, Kazuki Ikeda, Naohiko Koshikawa, Takashi Suzuki

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-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

17 citing papers in PubMed, 22 citations in OpenAlex.

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  13. Targeting cancer stem cell plasticity in triple-negative breast cancer.Exploration of targeted anti-tumor therapy · 2023
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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

9 authors at 4 institutions in 1 country.

Nobuhiko AsakuraCenter for Mathematical Modeling and Data Science, Osaka University, Osaka 580-8531, Japan.ORCID 0000-0003-3735-6409
Naotoshi NakamuraCenter for Mathematical Modeling and Data Science, Osaka University, Osaka 580-8531, Japan.
Atsushi MuroiKanagawa Cancer Center Research Institute, Yokohama 241-8515, Japan.
Yosui NojimaCenter for Mathematical Modeling and Data Science, Osaka University, Osaka 580-8531, Japan.ORCID 0000-0002-6821-0093
Taro YamashitaDepartment of General Medicine, Kanazawa University Hospital, Kanazawa 920-8641, Japan.ORCID 0000-0002-3383-9131
Shuichi KanekoDepartment of Gastroenterology, Kanazawa University Hospital, Kanazawa 920-8641, Japan.
Kazuki IkedaDepartment of Life Science and Technology, Tokyo Institute of Technology, Yokohama 226-8501, Japan.
Naohiko KoshikawaKanagawa Cancer Center Research Institute, Yokohama 241-8515, Japan.
Takashi SuzukiCenter for Mathematical Modeling and Data Science, Osaka University, Osaka 580-8531, Japan.
The University of Osaka · JPKanazawa University Hospital · JPTokyo Institute of Technology · JPKanagawa Prefectural Hospital Organization · JP

Funding

Japan Agency for Medical Research and Development 20ae0101075hJapan Agency for Medical Research and Development 20fk0210049hJapan Society for the Promotion of Science 17H06329
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the third leading cause of cancer death worldwide. Additionally, the efficacy of targeted molecular therapies with multiple tyrosine kinase inhibitors is limited. In this study, we focused on the cellular signaling pathways common to diverse HCC cells and used quantitative reverse phase protein array (RPPA) and statistical analyses to elucidate the molecular mechanisms determining its malignancy. We examined the heterogeneity of 17 liver cancer cell lines by performing cluster analysis of their expression of CD90 and EpCAM cancer stem cell markers. Gaussian mixture model clustering identified three dominant clusters: CD90-positive and EpCAM-negative (CD90+), EpCAM-positive and CD90-negative (EpCAM+) and EpCAM-negative and CD90-negative (Neutral). A multivariate analysis by partial least squares revealed that the former two cell populations showed distinct patterns of protein expression and phosphorylation in the EGFR and EphA2 signaling pathways. The CD90+ cells exhibited higher abundance of AKT, EphA2 and its phosphorylated form at Ser

Indexed as

Biomarkers, TumorCarcinogenesisCarcinoma, HepatocellularCell Line, TumorEpithelial Cell Adhesion MoleculeHep G2 CellsHumansLiver NeoplasmsNeoplastic Stem CellsReceptor, EphA2Signal TransductionThy-1 AntigensBiomarkers, TumorEPCAM protein, humanEPHA2 protein, humanEpithelial Cell Adhesion MoleculeReceptor, EphA2Thy-1 AntigensAKTCD90EpCAMEphA2hepatocellular carcinomaliver cancer stem cellsreverse phase protein array

Identifiers

PMID34445353
PMCPMC8395527
OpenAlexW3190598238

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.