Evidence map›Paper›PMID 36185247›Full record

ArticleFrontiers in oncology2022

Comprehensive analyses of genomic features and mutational signatures in adenosquamous carcinoma of the lung.

Hongbiao Wang, Jun Liu, Sujuan Zhu, Kun Miao, Zhifeng Li, Xiaofang Qi, Lujia Huang, Lijie Guo, Yan Wang, Yuyin Cai and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Current Roadmap of Lung Cancer Biology, Genomics and Racial Disparity.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Targeted therapy for rare lung cancers: Status, challenges, and prospects.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Review
  9. Article
  10. 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

11 authors.

Hongbiao WangMedical Oncology Session No.1, Cancer Hospital of Shantou University Medical College, Shantou, China.
Jun LiuDepartment of Thoracic Surgery, The First People's Hospital of Yunnan Province, Kunming, China.
Sujuan ZhuMedical Oncology Session No.1, Cancer Hospital of Shantou University Medical College, Shantou, China.
Kun MiaoDepartment of Medical Oncology, The First People's Hospital of Yunnan Province, Kunming, China.
Zhifeng LiMedical Oncology Session No.1, Cancer Hospital of Shantou University Medical College, Shantou, China.
Xiaofang QiMedical Department, OrigiMed Co., Ltd, Shanghai, China.
Lujia HuangMedical Department, OrigiMed Co., Ltd, Shanghai, China.
Lijie GuoMedical Department, OrigiMed Co., Ltd, Shanghai, China.
Yan WangMedical Department, OrigiMed Co., Ltd, Shanghai, China.
Yuyin CaiDepartment of Thoracic Surgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Yingcheng LinMedical Oncology Session No.1, Cancer Hospital of Shantou University Medical College, Shantou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adenosquamous carcinoma (ASC) of the lung is a relatively rare tumor with strong aggressiveness and poor prognosis. The analysis of mutational signatures is becoming routine in cancer genomics and has implications for pathogenesis, classification, and prognosis. However, the distribution of mutational signatures in ASC patients has not been evaluated. In this study, we sought to reveal the landscape of genomic mutations and mutational signatures in ASC. Next-generation sequencing (NGS) technology was used to retrieve genomic information for 124 ASC patients.

Indexed as

adenosquamous carcinoma of the lungEGFR mutationmutational signaturenext-generation sequencingTMB

Identifiers

PMID36185247
PMCPMC9518956

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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.