Evidence map›Paper›PMID 42896973›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2026

[Prognostic Models and Clinical Translation Prospects of Lung Cancer 
Based on Novel Cell Death Modes].

Linjie Sun, Yunkai You, Ying Zhang, Xintong Jiang, Shuyang Xie, Pingyu Wang

Abstract readReviewEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 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

6 authors.

Linjie SunShandong Medical and Pharmaceutical University, Yantai 264003, China.
Yunkai YouShandong Medical and Pharmaceutical University, Yantai 264003, China.
Ying ZhangShandong Medical and Pharmaceutical University, Yantai 264003, China.
Xintong JiangShandong Medical and Pharmaceutical University, Yantai 264003, China.
Shuyang XieShandong Medical and Pharmaceutical University, Yantai 264003, China.
Pingyu WangShandong Medical and Pharmaceutical University, Yantai 264003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the malignant tumors with high incidence and mortality worldwide, lung cancer features high heterogeneity and therapeutic resistance, which severely impair the prognosis of patients with lung cancer. In recent years, novel cell death modes such as ferroptosis, cuproptosis, disulfidptosis and necrosis by sodium overload have become research hotspots in oncology. Focusing on these four forms of cell death, this review systematically clarifies their roles in lung cancer initiation and progression, regulation of the tumor microenvironment, and therapeutic resistance; summarizes related prognostic biomarkers and representative prognostic models; and discusses the crosstalk among multiple cell death pathways and advances in clinical translation. This review aims to provide a reference for improving prognostic assessment in lung cancer, elucidating mechanisms of therapeutic resistance, and developing novel antitumor strategies.

Indexed as

Cell DeathLung NeoplasmsTranslational Research, BiomedicalAnimalsCuproptosisDisulfidptosisFerroptosisHumansPrognosisCuproptosisDisulfidptosisFerroptosisLung neoplasmsNecrosis by sodium overloadPrognostic model

Identifiers

PMID42896973
PMCPMC13688437

What OpenQuestion holds

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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.