Evidence map›Paper›PMID 39702350›Full record

ReviewCancer cell international2024

Cuproptosis: a promising new target for breast cancer therapy.

Qianqian Jiang, Fei Tong, Yun Xu, Cheng Liu, Qiaoping Xu

Abstract readReview
In one paragraph

Review in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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.

Qianqian Jiang *Department of Pharmacy, Traditional Chinese Medicine Hospital of Changshan, Quzhou, 324200, P.R. China.
Fei Tong *Department of Pharmacy, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510280, P.R. China.
Yun Xu *Department of Pharmacy, Zhejiang Medical&Health Group Hangzhou Hospital, Hangzhou, Zhejiang, 310022, China.
Cheng LiuDepartment of Pharmacy, The Secend People's Hospital Of Jiande, Hangzhou, 311604, P.R. China.
Qiaoping XuDepartment of Clinical Pharmacology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Cancer Center, Afliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, 310006, China. 850218802@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the leading cause of cancer-related mortality among women globally, affecting approximately one-quarter of all female cancer patients and accounting for one-sixth of cancer-related deaths in women. Despite significant advancements in diagnostic and therapeutic approaches, breast cancer treatment remains challenging due to issues such as recurrence and metastasis. Recently, a novel form of regulated cell death, termed cuproptosis, has been identified. This process disrupts mitochondrial respiration by targeting the copper-dependent cellular pathways. The role of cuproptosis has been extensively investigated in various therapeutic contexts, including chemotherapy, immunotherapy, radiotherapy, and nanotherapy, with the development of novel drugs significantly improving clinical outcomes. This article aims to further elucidate the connection between cuproptosis and breast cancer, focusing on its therapeutic targets, signaling pathways, and potential biomarkers that could enhance treatment strategies. These insights may offer new opportunities for improved patient care and outcomes in breast cancer therapy.

Indexed as

Breast cancerCuproptosisImmunotherapyMetastasisMolecular mechanisms

Identifiers

PMID39702350
PMCPMC11661134

What OpenQuestion holds

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LicenceCC BY
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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.