Evidence map›Paper›PMID 29719593›Full record

ArticleOncotarget2018

Whole exome sequencing identifies mTOR and KEAP1 as potential targets for radiosensitization of HNSCC cells refractory to EGFR and β1 integrin inhibition.

Erik Klapproth, Ellen Dickreuter, Falk Zakrzewski, Michael Seifert, Andreas Petzold, Andreas Dahl, Evelin Schröck, Barbara Klink, Nils Cordes

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. 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
2.0field-weighted citation impact, top 13% 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, 19 citations in OpenAlex.

  1. Article
  2. Beyond DNA damage: 3D tumor models and the integrin mechanobiology of radioresistance.Journal of experimental & clinical cancer research : CR · 2026
    Review
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  7. Review
  8. mTOR Signaling Components in Tumor Mechanobiology.International journal of molecular sciences · 2022
    Review
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  10. Article
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  13. 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.

Erik KlapprothOncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany.
Ellen DickreuterOncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany.
Falk ZakrzewskiGerman Cancer Consortium (DKTK), Dresden 01307, Germany.
Michael SeifertInstitute for Medical Informatics and Biometry (IMB), Technische Universität Dresden, Dresden 01307, Germany.
Andreas PetzoldDeep Sequencing Group, BIOTEChnology Center, Technische Universität Dresden, Dresden 01307, Germany.
Andreas DahlDeep Sequencing Group, BIOTEChnology Center, Technische Universität Dresden, Dresden 01307, Germany.
Evelin SchröckGerman Cancer Consortium (DKTK), Dresden 01307, Germany.
Barbara KlinkGerman Cancer Consortium (DKTK), Dresden 01307, Germany.
Nils CordesOncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany.
Technische Universität Dresden · DENational Center for Tumor Diseases · DEOncoRay · DEDeutschen Konsortium für Translationale Krebsforschung · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrinsic and acquired resistances are major obstacles in cancer therapy. Genetic characterization is commonly used to identify predictive or prognostic biomarker signatures and potential cancer targets in samples from therapy-naïve patients. By far less common are such investigations to identify specific, predictive and/or prognostic gene signatures in patients or cancer cells refractory to a specific molecular-targeted intervention. This, however, might have a great value to foster the development of tailored, personalized cancer therapy. Based on our identification of a differential radiosensitization by single and combined β1 integrin (AIIB2) and EGFR (Cetuximab) targeting in more physiological, three-dimensional head and neck squamous cell carcinoma (HNSCC) cell cultures, we performed comparative whole exome sequencing, phosphoproteome analyses and RNAi knockdown screens in responder and non-responder cell lines. We found a higher rate of gene mutations with putative protein-changing characteristics in non-responders and different mutational profiles of responders and non-responders. These profiles allow stratification of HNSCC patients and identification of potential targets to address treatment resistance. Consecutively, pharmacological inhibition of mTOR and KEAP1 effectively diminished non-responder insusceptibility to β1 integrin and EGFR targeting for radiosensitization. Our data pinpoint the added value of genetic biomarker identification after selection for cancer subgroup responsiveness to targeted therapies.

Indexed as

beta1 integrinEGFRExomeHNSCCionizing radiation

Identifiers

PMID29719593
PMCPMC5915060
OpenAlexW2794284882

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.