Evidence mapPaperPMID 40201313Full record

ArticleCancer drug resistance (Alhambra, Calif.)2025

Circular RNAs modulate cancer drug resistance: advances and challenges.

Jinghan Hua, Zhe Wang, Xiaoxun Cheng, Jiaojiao Dai, Ping Zhao

Abstract read
In one paragraph

Article in Cancer drug resistance (Alhambra, Calif.), 2025. 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. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. 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

5 authors.

Jinghan HuaThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China.
Zhe WangInstitute of Clinical Pharmacology, Anhui Medical University, Hefei 230000, Anhui, China.
Xiaoxun ChengInstitute of Clinical Pharmacology, Anhui Medical University, Hefei 230000, Anhui, China.
Jiaojiao DaiInstitute of Clinical Pharmacology, Anhui Medical University, Hefei 230000, Anhui, China.
Ping ZhaoThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acquired drug resistance is a main factor contributing to cancer therapy failure and high cancer mortality, highlighting the necessity to develop novel intervention targets. Circular RNAs (circRNAs), an abundant class of RNA molecules with a closed loop structure, possess characteristics including high stability, which provide unique advantages in clinical application. Growing evidence indicates that aberrantly expressed circRNAs are associated with resistance against various cancer treatments, including targeted therapy, chemotherapy, radiotherapy, and immunotherapy. Therefore, targeting these aberrant circRNAs may offer a strategy to improve the efficiency of cancer therapy. Herein, we present a summary of the most recently studied circRNAs and their regulatory roles on cancer drug resistance. With the advances in artificial intelligence (AI)-based bioinformatics algorithms, circRNAs could emerge as promising biomarkers and intervention targets in cancer therapy.

Indexed as

AI-based bioinformatics algorithmsbiomarkerscancer therapyCircRNAsDrug resistance

Identifiers

PMID40201313
PMCPMC11977347

What Socratic holds

Textmetadata
LicenceCC BY
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.