Evidence map›Paper›PMID 41402694›Full record

SynthesisClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Recent advances in diagnostic and therapeutic approaches for pulmonary enteric adenocarcinoma.

Ya Guo, Heng Zhang, Bin Zhang, Yunbin Gao, Hui Li, Haibo Zhao, Qing-Qing Yu

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 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

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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

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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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Ya Guo *Department of Oncology, Jining NO.1 People's Hospital, Jining, 272000, People's Republic of China.
Heng Zhang *Radiology Department, Jining NO.1 People's Hospital, Jining, 272000, People's Republic of China.
Bin Zhang *Department of Oncology, Jining NO.1 People's Hospital, Jining, 272000, People's Republic of China.
Yunbin GaoDepartment of Oncology, Jining NO.1 People's Hospital, Jining, 272000, People's Republic of China.
Hui LiDepartment of Oncology, Jining NO.1 People's Hospital, Jining, 272000, People's Republic of China. 13455596668@163.com.
Haibo ZhaoDepartment of Oncology, Jining NO.1 People's Hospital, Jining, 272000, People's Republic of China. zhbys@sina.com.
Qing-Qing YuClinical Research Center, Jining NO.1 People's Hospital, Jining, 272000, People's Republic of China. yuqingqing_lucky@163.com.ORCID http://orcid.org/0000-0001-5695-6747

Funding

Department of Science and Technology of Shandong Province 202301060260Key R&D Program of Jining 2023YXNS051Key R&D Program of Jining 2023YXNS195Sailing Project, Scientific Research Foundation of Jining No.1 People's Hospital 2023-QHM-006
6 · The paper itself

Abstract

Pulmonary enteric adenocarcinoma (PEAC), also known as adenocarcinoma-enteric type of the lung, is a rare variant of non-small cell lung cancer (NSCLC) that shows similar morphological and immunohistochemical (IHC) features to colorectal adenocarcinoma and necessitates gastroenteroscopy to exclude enteric-origin lesions. Moreover, IHC diagnostic criteria for PEAC are more explicitly defined in the 2015 World Health Organization (WHO) Classification of Lung Tumors. When the percentage of tumor cells with enteric differentiation exceeds > 50% of tumor tissue, then at least one enteric differentiation marker [cytokeratin 20 (CK20), tail homologous box (CDX2), mucin 2 (MUC2), and specific AT-sequence binding protein 2 (SATB2)] is detected. This PEAC, an uncommon solid tumor in lung cancer, is characterized by a poor prognosis, pathological and molecular traits, and a unique clinical response in imaging. However, their molecular features and therapeutic biomarkers are still unexplored, and their diagnosis and treatment remain difficult. Thus, systematic review and combined analysis data were obtained from previously published literature.

Indexed as

Adenocarcinoma of LungLung NeoplasmsBiomarkers, TumorHumansPrognosisBiomarkers, TumorDiagnosisLung cancerPulmonary enteric adenocarcinomaTreatment

Identifiers

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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.