Evidence map›Paper›PMID 36071523›Full record

ReviewMolecular cancer2022

Targeting RNA N

Wei Li, Yi Hao, Xingda Zhang, Shouping Xu, Da Pang

Open access · goldAbstract readReview
In one paragraph

Review in Molecular cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. The Role of MClinical reviews in allergy & immunology · 2025
    Review
  9. Review
  10. Article
  11. The Role of mRNA Modifications in Bone Diseases.International journal of biological sciences · 2025
    Review
  12. Review
  13. Review
  14. RNA NNature reviews. Urology · 2024
    Review
  15. Article
  16. Review
  17. Non-coding RNA-Mediated N6-Methyladenosine (mNon-coding RNA research · 2024
    Review
  18. Review
  19. Article
  20. 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

5 authors at 3 institutions in 1 country.

Wei LiHarbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China.
Yi HaoHarbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China.
Xingda ZhangHarbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China.
Shouping XuHarbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China. Shoupingxu@hrbmu.edu.cn.
Da PangHarbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China. pangda@ems.hrbmu.edu.cn.
Harbin Medical University · CNHeilongjiang Academy of Sciences · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy, especially immune checkpoint inhibitors (ICIs), has revolutionized the treatment of many types of cancer, particularly advanced-stage cancers. Nevertheless, although a subset of patients experiences dramatic and long-term disease regression in response to ICIs, most patients do not benefit from these treatments. Some may even experience cancer progression. Immune escape by tumor cells may be a key reason for this low response rate. N

Indexed as

NeoplasmsTumor EscapeAdenosineHumansImmunotherapyRNAAdenosineN-methyladenosineRNAcancerImmunotherapyN6-methyladenosine (m6A)TumorTumor immune escape (TIE)

Identifiers

PMID36071523
PMCPMC9454167
OpenAlexW4294991709

What OpenQuestion 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 OpenQuestion graph.