Evidence map›Paper›PMID 39844176›Full record

ArticleWorld journal of surgical oncology2025

Gene mutation, clinical characteristics and pathology in resectable lung adenocarcinoma.

Ji'an Zou, Wei Han, Yan Hu, Chao Zeng, Jina Li, Weixuan Lei, Jieming Cao, Quanming Fei, Mengqi Shao, Junqi Yi and 4 more

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

14 authors.

Ji'an ZouDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Wei HanDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Yan HuDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Chao ZengDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Jina LiDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Weixuan LeiDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Jieming CaoDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Quanming FeiDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Mengqi ShaoDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Junqi YiDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Zeyu ChengDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Li WangDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Fang WuDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Wenliang LiuDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China. liuwenliang@csu.edu.cn.

Funding

National Natural Science Foundation of China 82172879Natural Science Foundation of Hunan Province for Distinguished Young Scholars 2022JJ10096
6 · The paper itself

Abstract

objectiveWith the wide use of CT scan in clinical practice, more lung cancer was diagnosed in resectable stage. Pathological examination and genetic testing have become a routine procedure for lung adenocarcinoma following radical resection. This study analyzed special pathological components and gene mutations to explore their relationship with clinical characteristics and overall survival.

methodsClinical, pathological, and gene mutation data from 1,118 patients were collected. All patients underwent surgery at the Department of Thoracic Surgery, the Second Xiangya Hospital of Central South University. Patients were grouped based on pathological components and gene mutations. Differences in clinical features and overall survival were analyzed as well.

resultsPatients with mucinous, neuroendocrine, and poor-differentiated components were presented with more prognostic risk factors, including pleural invasion, carcinothrombosis, STAS, and advanced stages, along with varying frequencies of gene mutations. These factors significantly shortened overall survival. ALK and KRAS mutations were also associated with risk factors such as solid nodules, pleural invasion, STAS, and later stages. However, a significant reduction in overall survival was observed only in patients with the KRAS mutation. Relationship between gene mutations and pathological components still requires further investigation.

conclusionSpecial pathological components (mucinous, neuroendocrine, and poor-differentiated) and gene mutations had an influence on biological behavior of tumors, resulting in different clinical characteristics and prognosis.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorLung NeoplasmsMutationAdultAgedAged, 80 and overAnaplastic Lymphoma KinaseFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm StagingPrognosisProto-Oncogene Proteins p21(ras)ALK protein, humanAnaplastic Lymphoma KinaseBiomarkers, TumorKRAS protein, humanProto-Oncogene Proteins p21(ras)Computed topographyGene mutationLung adenocarcinomaPathologySurgery

Identifiers

PMID39844176
PMCPMC11752792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.