Evidence map›Paper›PMID 38831114›Full record

ArticleNPJ precision oncology2024

Molecular landscape and multi-omic measurements of heterogeneity in fetal adenocarcinoma of the lung.

Li Sun, Wei Guo, Lei Guo, Xiaoxi Chen, Haitao Zhou, Shi Yan, Gang Zhao, Hua Bao, Xue Wu, Yang Shao and 2 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

12 authors.

Li Sun *Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Wei Guo *Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China. guowei@cicams.ac.cn.ORCID http://orcid.org/0000-0001-8302-8292
Lei Guo *Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Xiaoxi ChenGeneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China.
Haitao ZhouDepartment of Thoracic Surgery, Peking University Cancer Hospital and Institute, Beijing, China.
Shi YanDepartment of Thoracic Surgery, Peking University Cancer Hospital and Institute, Beijing, China.
Gang ZhaoDepartment of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Hua BaoGeneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China.ORCID http://orcid.org/0000-0001-5774-8755
Xue WuGeneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China.ORCID http://orcid.org/0000-0002-5567-1325
Yang ShaoGeneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China.
Jianming YingDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China. jmying@cicams.ac.cn.ORCID http://orcid.org/0000-0002-7301-4118
Lin LinDepartment 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, People's Republic of China. doctor.linlin@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fetal adenocarcinoma of the lung (FLAC) is a rare form of lung adenocarcinoma and was divided into high-grade (H-FLAC) and low-grade (L-FLAC) subtypes. Despite the existence of some small case series studies, a comprehensive multi-omics study of FLAC has yet to be undertaken. In this study, we depicted the multi-omics landscapes of this rare lung cancer type by performing multi-regional sampling on 20 FLAC cases. A comparison of multi-omics profiles revealed significant differences between H-FLAC and L-FLAC in a multi-omic landscape. Two subtypes also showed distinct relationships between multi-layer intratumor heterogeneity (ITH). We discovered that a lower genetic ITH was significantly associated with worse recurrence-free survival and overall survival in FLAC patients, whereas higher methylation ITH in H-FLAC patients suggested a short survival. Our findings highlight the complex interplay between genetic and transcriptional heterogeneity in FLAC and suggest that different types of ITH may have distinct implications for patient prognosis.

Identifiers

PMID38831114
PMCPMC11148097

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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.