Evidence map›Paper›PMID 42105078›Full record

ArticleMolecular biomedicine2026

Molecular characteristics, clonal relatedness and surgical outcomes of pulmonary mixed invasive mucinous and non-mucinous adenocarcinoma: a retrospective cohort study.

Xinyi Shi, Yang Wang, Nan Yao, Bowen Xue, Lei Guo, Liming Xu, Changbin Zhu, Guiping Qin, Jianming Ying, Yutao Liu and 1 more

Abstract read
In one paragraph

Article in Molecular biomedicine, 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

11 authors.

Xinyi Shi *Department of Pathology, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yang Wang *Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Nan Yao *Department of Pathology, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Bowen Xue *Department of Pathology, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lei Guo *Department of Pathology, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Liming XuAmoy Diagnostics Co., Ltd., Xiamen, China.
Changbin ZhuAmoy Diagnostics Co., Ltd., Xiamen, China.
Guiping QinDepartment of Pathology, Liangxiang Hospital of Beijing Fangshan District, Beijing, China. 1164125929@qq.com.
Jianming YingDepartment of Pathology, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. jmying@cicams.ac.cn.
Yutao LiuDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. liuyutao@cicams.ac.cn.
Weihua LiDepartment of Pathology, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. liweihua@cicams.ac.cn.ORCID http://orcid.org/0009-0006-2163-3335

Funding

Beijing Natural Science Foundation of the People's Republic of China 7252122Beijing Xisike Clinical Oncology Research Foundation Y-HS202402-0021National High Level Hospital Clinical Research Funding 2025-LYZX-R-B03
6 · The paper itself

Abstract

Mixed invasive mucinous adenocarcinoma and non-mucinous adenocarcinoma (mixed IMA/NMA) is a rare subtype of lung adenocarcinoma (LUAD) with limited available data. This study aimed to comprehensively analyze the characteristics of this rare entity. A total of 738 surgical cases were enrolled, including 349 pure invasive mucinous adenocarcinoma (IMA), 61 mixed IMA/NMA and 328 pure non-mucinous adenocarcinoma (NMA) cases. Using amplification refractory mutation system, immunohistochemistry, and DNA-/RNA-based next-generation sequencing (DNA and RNA NGS), distinct molecular features were identified in mixed IMA/NMA cases compared with IMA and NMA cases, particularly in EGFR, KRAS, and ALK alterations and PD-L1 expression status. Paired analysis of the IMA and NMA components within mixed IMA/NMA cases using DNA and RNA NGS revealed one to three shared genomic alterations between the two components in the same tumor. However, significant differences were observed in the levels of cancer-associated fibroblasts, protumor cytokines, MHC-II, coactivation molecules, T cells, and effector cells between the components. Similarly, multiplex immunofluorescence assay demonstrated that immune cell infiltration, including CD4

Indexed as

Adenocarcinoma, MucinousAdenocarcinoma of LungLung NeoplasmsAgedBiomarkers, TumorFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationNeoplasm InvasivenessRetrospective StudiesTreatment OutcomeBiomarkers, TumorClonal relatednessDriver alterationsMixed invasive mucinous and non-mucinous adenocarcinomasSurgical outcomesTumor heterogeneityTumor microenvironment

Identifiers

PMID42105078
PMCPMC13157374

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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.