Evidence map›Paper›PMID 42505417›Full record

ReviewCells2026

Necroptosis: The Regulation Between EGFR and TNFR in Cancer.

Jin Gyeom Kim, Wook Jin

Abstract readReview
In one paragraph

Review in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jin Gyeom KimLaboratory of Molecular Disease and Cell Regulation, Department of Biochemistry, School of Medicine, Gachon University, Incheon 21999, Republic of Korea.
Wook JinLaboratory of Molecular Disease and Cell Regulation, Department of Biochemistry, School of Medicine, Gachon University, Incheon 21999, Republic of Korea.ORCID 0000-0002-4961-9475

Funding

Gachon University GCU-202300620001National Research Foundation of Korea RS-2025-19623004National Research Foundation of Korea RS-2026-25468672
6 · The paper itself

Abstract

Most cancers are fatal and remain challenging to cure due to changes in tumorigenesis and therapeutic resistance. Despite significant advancements in cancer therapy, a substantial proportion of malignancies exhibit resistance to conventional therapies, driven primarily by cancer plasticity and the emergence of multidrug resistance. Recent cancer treatments include cytotoxic chemotherapy, molecular targeted therapy, and immune checkpoint inhibitors. A major hallmark of cancer cells is their ability to develop sophisticated evasion mechanisms that bypass programmed cell death when exposed to anti-cancer drugs. In addition, malignant cells evade the efficacy of anti-cancer drugs by altering cell proliferation, survival, and metastasis. To suppress oncogenic characteristics, necroptosis-based therapies have attracted substantial attention, as they can inhibit tumorigenesis and improve treatment outcomes across many cancer types. Furthermore, an increasing body of research focuses on suppressing tumorigenesis by targeting receptors that are overexpressed in cancer cells. In this review, we elucidate how tumorigenesis is inhibited by regulating the epidermal growth factor receptor (EGFR)-tumor necrosis factor receptor (TNFR) signaling pathway in necroptosis. By delineating the underlying mechanisms of these receptors, we propose that the induction of necroptosis via EGFR and TNFR represents an innovative paradigm for targeted therapy, offering a strategy to enhance clinical outcomes in treatment-resistant cancers.

Indexed as

ErbB ReceptorsNecroptosisNeoplasmsReceptors, Tumor Necrosis FactorAnimalsHumansSignal TransductionEGFR protein, humanErbB ReceptorsReceptors, Tumor Necrosis Factorbreast cancerEGFRnecroptosisTNFR

Identifiers

PMID42505417
PMCPMC13407132

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Registered trials

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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.