Evidence map›Paper›PMID 39831223›Full record

ArticleJournal of thoracic disease2024

Circular RNA

Zhexue Hao, Fenlan Feng, Qi Wang, Yucong Wang, Jin Li, Jinkun Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of thoracic disease, 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. Article
  3. 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

6 authors.

Zhexue Hao *Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Fenlan Feng *The Key Laboratory of Advanced Interdisciplinary Studies, The State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Qi Wang *The Key Laboratory of Advanced Interdisciplinary Studies, The State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yucong WangDepartment of Laboratory Medicine, The First Affiliated Hospital of USTC, The RNA Institute, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China (USTC), Hefei, China.
Jin LiThe Key Laboratory of Advanced Interdisciplinary Studies, The State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jinkun HuangDepartment of Urology, Guangdong Provincial Key Laboratory of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tyrosine kinase inhibitors (TKIs) are the first-line therapy for patients with non-small cell lung cancer (NSCLC) with sensitized mutations in the epidermal growth factor receptor ( Methods: In this study, we identified differentially expressed genes through RNA sequencing from three tumor samples obtained from patients with poor postoperative TKI treatment outcomes. Validation was performed using quantitative real-time polymerase chain reaction (qRT-PCR) and cell function experiments. We further constructed a competing endogenous RNA (ceRNA) network and performed Gene Ontology (GO) analysis to explore the underlying mechanisms of circRNA. Results: Conclusions: circ

Indexed as

circular RNA (circRNA)competing endogenous RNA network (ceRNA network)lung adenocarcinoma (LUAD)SPECC1 circular RNA (circSPECC1)Tyrosine kinase inhibitor resistance (TKI resistance)

Identifiers

PMID39831223
PMCPMC11740053

What Socratic 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 Socratic graph.