Evidence map›Paper›PMID 35154483›Full record

ArticleTheranostics2022

Overcoming resistance to EGFR monotherapy in HNSCC by identification and inhibition of individualized cancer processes.

Maria R Jubran, Daniela Vilenski, Efrat Flashner-Abramson, Efraim Shnaider, Swetha Vasudevan, Ariel M Rubinstein, Amichay Meirovitz, Shay Sharon, David Polak, Nataly Kravchenko-Balasha

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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  10. Multi-omics and machine learning-driven CD8Molecular therapy. Nucleic acids · 2025
    Article
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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

10 authors at 2 institutions in 1 country.

Maria R JubranThe Institute of Biomedical and Oral Research, Hebrew University of Jerusalem, Jerusalem 91120, Israel.
Daniela VilenskiThe Institute of Biomedical and Oral Research, Hebrew University of Jerusalem, Jerusalem 91120, Israel.
Efrat Flashner-AbramsonThe Institute of Biomedical and Oral Research, Hebrew University of Jerusalem, Jerusalem 91120, Israel.
Efraim ShnaiderThe Institute of Biomedical and Oral Research, Hebrew University of Jerusalem, Jerusalem 91120, Israel.
Swetha VasudevanThe Institute of Biomedical and Oral Research, Hebrew University of Jerusalem, Jerusalem 91120, Israel.
Ariel M RubinsteinThe Institute of Biomedical and Oral Research, Hebrew University of Jerusalem, Jerusalem 91120, Israel.
Amichay MeirovitzSharett Institute of Oncology, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.
Shay SharonDepartment of Oral and Maxillofacial Surgery, The Hebrew University and Hadassah Medical Center, Jerusalem, Israel.
David PolakDepartment of Periodontics, Faculty of Dental Medicine, The Hebrew University and Hadassah Medical Center, Jerusalem, Israel.
Nataly Kravchenko-BalashaThe Institute of Biomedical and Oral Research, Hebrew University of Jerusalem, Jerusalem 91120, Israel.
Hebrew University of Jerusalem · ILHadassah Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic strategies for advanced head and neck squamous carcinoma (HNSCC) consist of multimodal treatment, including Epidermal Growth Factor Receptor (EGFR) inhibition, immune-checkpoint inhibition, and radio (chemo) therapy. Although over 90% of HNSCC tumors overexpress EGFR, attempts to replace cytotoxic treatments with anti-EGFR agents have failed due to alternative signaling pathways and inter-tumor heterogeneity.

Indexed as

Antineoplastic AgentsHead and Neck NeoplasmsCell Line, TumorErbB ReceptorsHumansSquamous Cell Carcinoma of Head and NeckAntineoplastic AgentsEGFR protein, humanErbB Receptorshead and neck squamous cell carcinomainformation-theoretic approachpatient-specific signaling signaturesprecision medicinetargeted therapy

Identifiers

PMID35154483
PMCPMC8771558
OpenAlexW4206473456

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.