Evidence map›Paper›PMID 42676823›Full record

ReviewFrontiers in oncology2026

Multi-omics integration in malignant pleural mesothelioma: from molecular evolution and immune ecosystems to precision therapy.

Hongmei Li, Kunzhong Zhou, Ruiting Xu, Weifang Wang, Tingting Song, Yonghong Zhou, Jing Ren, Zhiyong Wang, Yiteng Liang, Yilin Chen and 6 more

Abstract readReview
In one paragraph

Review in Frontiers in 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

16 authors.

Hongmei Li *Department of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Kunzhong Zhou *Department of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Ruiting XuDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Weifang WangDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Tingting SongDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Yonghong ZhouDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Jing RenDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Zhiyong WangPuer Central Hospital, Simao District People's Hospital, Puer, China.
Yiteng LiangDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Yilin ChenDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Saurav PoudelDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Junxuan YuDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Rui LinDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Ke YinDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.
Shengjie YangDepartment of Thoracic Surgery, The People's Hospital of Chu Xiong Yi Autonomous Prefecture, Chu Xiong, China.
Li ZhuangDepartment of Rehabilitation and Palliative Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant pleural mesothelioma (MPM) exhibits substantial molecular and cell-state heterogeneity, together with marked spatial variation in its immune and stromal microenvironment. Histological classification and individual biomarkers alone cannot adequately explain its evolution or heterogeneous treatment responses. This review critically integrates genomic, epigenomic, transcriptomic, single-cell, and spatial omics evidence along a conceptual continuum encompassing tumor-intrinsic molecular evolution, microenvironmental ecosystem remodeling, candidate stratification, and precision therapy. Current evidence indicates that alterations involving

Indexed as

immune ecosystem stratificationmalignant pleural mesotheliomamulti-omicsprecision therapysingle-cell sequencingspatial omicstumor microenvironment

Identifiers

PMID42676823
PMCPMC13527837

What Socratic 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 Socratic graph.