Evidence map›Paper›PMID 42472831›Full record

ReviewSignal transduction and targeted therapy2026

Tumor evolution: signaling pathways, molecular mechanisms and therapeutic targets.

Kun-Yu Zhang, Xiu-Zhi Zhu, Yu-Xin Yan, Xiao-Han Ying, Jian Zhang, Zhong-Hua Wang

Abstract readReview
In one paragraph

Review in Signal transduction and targeted therapy, 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.

Kun-Yu Zhang *Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiu-Zhi Zhu *Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yu-Xin Yan *Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiao-Han YingDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Jian ZhangDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID http://orcid.org/0009-0008-7807-3492
Zhong-Hua WangDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China. zhonghuawang95@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is one of the leading causes of global morbidity and mortality and is characterized by its high heterogeneity, genomic instability and adaptive plasticity. Applying Darwin's theory of evolution, the concept of tumor evolution has improved our understanding of the biological behavior of advanced cancer, while technological limitations have long left how to dynamically characterize the evolutionary process unsolved. In recent years, the development of high-throughput sequencing, single-cell and spatial omics, lineage tracing, computational modeling, and noninvasive biopsy technology has helped explain tumor heterogeneity and track the evolutionary trajectory of tumors, which has attracted widespread attention in tumor evolution. Here, we discuss the models and drivers of tumor evolution, focusing on how cancer cells adapt and evolve under multidimensional selective pressure, including the intracellular, extracellular, and exogenous levels. We further summarize key signaling pathways and molecular mechanisms involved in genomic instability, epigenetic regulation, metabolic reprogramming, tumor microenvironment remodeling, immune escape and therapy-induced selection. In addition, emerging therapeutic strategies guided by tumor evolution are also discussed, emphasizing that the identification of key genetic and epigenetic targets, together with dynamic monitoring of clonal changes, is crucial for overcoming treatment resistance and improving patient outcomes. By systematically summarizing the signaling pathways and molecular mechanisms underlying tumor evolution, this review aims to provide new targets and conceptual frameworks for promoting precision treatment strategies in oncology in the future.

Indexed as

Epigenesis, GeneticNeoplasmsSignal TransductionTumor MicroenvironmentAnimalsGenomic InstabilityHumans

Identifiers

PMID42472831
PMCPMC13381973

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.