Evidence map›Paper›PMID 37496997›Full record

ReviewInternational journal of biological sciences2023

Emerging Pharmacotherapeutic Strategies to Overcome Undruggable Proteins in Cancer.

Yuqing Lu, Yuewen Yang, Guanghao Zhu, Hairong Zeng, Yiming Fan, Fujia Guo, Dongshu Xu, Boya Wang, Dapeng Chen, Guangbo Ge

Open access · goldAbstract readReview
In one paragraph

Review in International journal of biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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  9. Review
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  11. Article
  12. [Targeting chimera technology: A new tool for undruggable in breast cancer].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  13. Targeted Degradation Technologies Utilizing Autophagy.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Review
  16. Review
  17. Article
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  19. Review
  20. The Proteomic Analysis of Cancer-Related Alterations in the Human Unfoldome.International journal of molecular sciences · 2024
    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

10 authors at 2 institutions in 1 country.

Yuqing LuDalian Medical University, 116044 Dalian City, Liaoning Province, China.
Yuewen YangDalian Medical University, 116044 Dalian City, Liaoning Province, China.
Guanghao ZhuShanghai University of Traditional Chinese Medicine, 201203 Shanghai City, China.
Hairong ZengShanghai University of Traditional Chinese Medicine, 201203 Shanghai City, China.
Yiming FanDalian Harmony Medical Testing Laboratory Co., Ltd, 116620 Dalian City, Liaoning Province, China.
Fujia GuoDalian Medical University, 116044 Dalian City, Liaoning Province, China.
Dongshu XuDalian Medical University, 116044 Dalian City, Liaoning Province, China.
Boya WangDalian Medical University, 116044 Dalian City, Liaoning Province, China.
Dapeng ChenDalian Medical University, 116044 Dalian City, Liaoning Province, China.
Guangbo GeShanghai University of Traditional Chinese Medicine, 201203 Shanghai City, China.
Dalian Medical University · CNShanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted therapies in cancer treatment can improve

Indexed as

Artificial IntelligenceNeoplasmsDrug DiscoveryHumansProteinsProteolysisProteinsCancerIntrinsically disordered proteinProtein-protein interactionProteolysis targeting chimeraTargeted protein degradationUndruggable target

Identifiers

PMID37496997
PMCPMC10367563
OpenAlexW4383270596

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.