Evidence map›Paper›PMID 29262566›Full record

ArticleOncotarget2017

Characterization of epithelial-mesenchymal transition intermediate/hybrid phenotypes associated to resistance to EGFR inhibitors in non-small cell lung cancer cell lines.

Valentina Fustaino, Dario Presutti, Teresa Colombo, Beatrice Cardinali, Giuliana Papoff, Rossella Brandi, Paola Bertolazzi, Giovanni Felici, Giovina Ruberti

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 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  5. Metastasis Models: Thermodynamics and Complexity.Methods in molecular biology (Clifton, N.J.) · 2024
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  15. Partial EMT in Squamous Cell Carcinoma: A Snapshot.International journal of biological sciences · 2021
    Review
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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.

Valentina FustainoInstitute of Cell Biology and Neurobiology, National Research Council (IBCN-CNR), Monterotondo, Rome, Italy.
Dario PresuttiInstitute of Cell Biology and Neurobiology, National Research Council (IBCN-CNR), Monterotondo, Rome, Italy.
Teresa ColomboInstitute for Systems Analysis and Computer Science "Antonio Ruberti" National Research Council, (IASI-CNR), Rome, Italy.
Beatrice CardinaliInstitute of Cell Biology and Neurobiology, National Research Council (IBCN-CNR), Monterotondo, Rome, Italy.
Giuliana PapoffInstitute of Cell Biology and Neurobiology, National Research Council (IBCN-CNR), Monterotondo, Rome, Italy.
Rossella BrandiGenomics facility of the European Brain Research Institute, "Rita Levi-Montalcini" (EBRI), Rome, Italy.
Paola BertolazziSYSBIO Center for Systems Biology, Milan, Italy.
Giovanni FeliciInstitute for Systems Analysis and Computer Science "Antonio Ruberti" National Research Council, (IASI-CNR), Rome, Italy.
Giovina RubertiInstitute of Cell Biology and Neurobiology, National Research Council (IBCN-CNR), Monterotondo, Rome, Italy.
National Research Council · ITInstitute of Cell Biology and Neurobiology · ITEuropean Brain Research Institute · ITIstituto di Analisi dei Sistemi ed Informatica Antonio Ruberti · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence points to a key role played by epithelial-mesenchymal transition (EMT) in cancer progression and drug resistance. In this study, we used

Indexed as

EGFREMT intermediate/hybrid phenotypeerlotinibmicroarray dataNSCLC

Identifiers

PMID29262566
PMCPMC5732732
OpenAlexW2757188258

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.