Evidence map›Paper›PMID 42958443›Full record

ReviewExperimental hematology & oncology2026

HER2 in solid tumors: microenvironment features and multifaceted advances from mechanisms to clinical translation.

Tianqi Zhang, Cong Tan, Hui Sun, Wenchao Gu, Wenfeng Wang, Midie Xu, Weiqi Sheng

Abstract readReview
In one paragraph

Review in Experimental hematology & oncology, 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

7 authors.

Tianqi Zhang *Department of Pathology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Cong Tan *Department of Pathology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Hui SunDepartment of Pathology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China.
Wenchao GuDepartment of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Wenfeng WangDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China. wangwenfeng1011@163.com.
Midie XuDepartment of Pathology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China. xumd27202003@sina.com.
Weiqi ShengDepartment of Pathology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China. shengweiqi2006@163.com.

Funding

National Natural Science Foundation of China 82473011National Natural Science Foundation of China 82573096
6 · The paper itself

Abstract

Human epidermal growth factor receptor 2 (HER2) is a well-established oncogenic driver in multiple solid tumors, most prominently in breast and gastric cancers. Beyond gene amplification-driven signaling through canonical PI3K/AKT and RAS/MAPK pathways, emerging evidence reveals that HER2 functions within a highly dynamic and context-dependent tumor ecosystem. Interactions between HER2-positive tumor cells and immune and stromal compartments actively shape the tumor microenvironment, contributing to immune evasion, therapeutic resistance and disease progression. A central challenge in the clinical management of HER2-altered cancers is pronounced spatial and temporal heterogeneity, which undermines both diagnostic accuracy and the durability of targeted therapies. In response, advances in multi-omics profiling, liquid biopsy technologies and artificial intelligence-assisted analytics are redefining HER2 assessment, shifting it from static tissue-based classification towards dynamic, minimally invasive monitoring. In parallel, the therapeutic landscape has evolved from single-agent HER2 blockade to rational combination strategies. In particular, antibody-drug conjugates have emerged as a transformative modality, extending the therapeutic reach of HER2 targeting beyond traditional indications and offering new opportunities to overcome heterogeneity and drug resistance. This review synthesizes current insights into the molecular and microenvironmental biology of HER2-altered solid tumors and discusses how these advances are reshaping next-generation precision oncology.

Indexed as

Artificial intelligenceCombination therapyHER2HeterogeneityTumor microenvironment

Identifiers

PMID42958443
PMCPMC13718142

What OpenQuestion holds

Textmetadata
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.