Evidence map›Paper›PMID 31285870›Full record

ArticleJournal of thoracic disease2019

Circular RNA profiling identified as a biomarker for predicting the efficacy of Gefitinib therapy for non-small cell lung cancer.

Yu-Tao Liu, Xiao-Hong Han, Pu-Yuan Xing, Xing-Sheng Hu, Xue-Zhi Hao, Yan Wang, Jun-Ling Li, Zhi-Shang Zhang, Zhi-Hao Yang, Yuan-Kai Shi

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
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

30 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Circular RNAs as biomarkers for lung cancer.Non-coding RNA research · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Circular RNA in cancer development and immune regulation.Journal of cellular and molecular medicine · 2022
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  12. Article
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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

10 authors at 2 institutions in 1 country.

Yu-Tao LiuDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China.
Xiao-Hong HanDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China.
Pu-Yuan XingDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China.
Xing-Sheng HuDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China.
Xue-Zhi HaoDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China.
Yan WangDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China.
Jun-Ling LiDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China.
Zhi-Shang ZhangDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China.
Zhi-Hao YangBeijing CapitalBio Technology Company, Beijing 101111, China.
Yuan-Kai ShiDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100021, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing VDJBio (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) have become important treatment options for non-small cell lung cancer (NSCLC) patients with EGFR sensitive mutation. However, the detection of EGFR driver mutation is impeded by the lack of adequate tumor tissues, histopathological type, long detection period, and the heterogeneity of a tumor. Therefore, it is necessary to develop a more convenient method to guide the clinical use of EGFR-TKI. Circular RNAs (circRNAs) are characterized as a closed structure with covalently joined ends resistant to exonucleases may be a potential biomarker. In the present study, we aimed to screen circRNAs that may be associated with the efficacy of EGFR-TKI.

methodsThe expression of circRNAs sequenced by circular microarray in plasma samples between gefitinib effective and ineffective groups were compared. RT-qPCR further validated the results in an independent cohort. Kaplan-Meier curves were used to analyze the association between circRNA and progression-free survival (PFS) of NSCLC patients treated with gefitinib.

resultsIn total, 52 NSCLC patients treated with gefitinib were included for analysis. 1,377 circRNAs were differentially expressed in gefitinib effective and ineffective groups, among which 989 circRNAs were up-regulated, and 388 circRNAs were down-regulated in the effective group. Furthermore, two differentially expressed circRNAs, hsa_circ_0109320 and hsa_circ_0134501, were validated by RT-qPCR in an independent cohort of 38 gefitinib-treated NSCLC patients. Elevated hsa_circ_0109320 was associated with longer PFS in gefitinib-treated NSCLC patients.

conclusionsTaken together, hsa_circ_0109320 may be a potential biomarker for the efficacy of EGFR-TKI in NSCLC patients. This provides a new molecular typing method for individualized precision treatment.

Indexed as

circular RNA (circRNA)epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI)Non-small cell lung cancer (NSCLC)predictive biomarker

Identifiers

PMID31285870
PMCPMC6588778
OpenAlexW2947903346

What OpenQuestion holds

Textmetadata
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.