Evidence map›Paper›PMID 35782973›Full record

ReviewGenes & diseases2022

Revisiting chemoresistance in ovarian cancer: Mechanism, biomarkers, and precision medicine.

Chong Guo, Chaoying Song, Jiali Zhang, Yisong Gao, Yuying Qi, Zongyao Zhao, Chengfu Yuan

Abstract readReview
In one paragraph

Review in Genes & diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. The biological roles of CD47 in ovarian cancer progression.Cancer immunology, immunotherapy : CII · 2024
    Review
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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

7 authors.

Chong GuoCollege of Medical Science, China Three Gorges University, Yichang, Hubei 443002, PR China.
Chaoying SongCollege of Medical Science, China Three Gorges University, Yichang, Hubei 443002, PR China.
Jiali ZhangCollege of Medical Science, China Three Gorges University, Yichang, Hubei 443002, PR China.
Yisong GaoCollege of Medical Science, China Three Gorges University, Yichang, Hubei 443002, PR China.
Yuying QiCollege of Medical Science, China Three Gorges University, Yichang, Hubei 443002, PR China.
Zongyao ZhaoCollege of Medical Science, China Three Gorges University, Yichang, Hubei 443002, PR China.
Chengfu YuanCollege of Medical Science, China Three Gorges University, Yichang, Hubei 443002, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the gynecological cancers, ovarian cancer is the most lethal. Its therapeutic options include a combination of chemotherapy with platinum-based compounds and cytoreductive surgery. Most ovarian cancer patients exhibit an initial response to platinum-based therapy, however, platinum resistance has led to up to 80% of this responsive cohort becoming refractory. Ovarian cancer recurrence and drug resistance to current chemotherapeutic options is a global challenge. Chemo-resistance is a complex phenomenon that involves multiple genes and signal transduction pathways. Therefore, it is important to elucidate on the underlying molecular mechanisms involved in chemo-resistance. This inform decisions regarding therapeutic management and help in the identification of novel and effective drug targets. Studies have documented the individual biomarkers of platinum-resistance in ovarian cancer that are potential therapeutic targets. This review summarizes the molecular mechanisms of platinum resistance in ovarian cancer, novel drug targets, and clinical outcomes.

Indexed as

Clinical outcomesMechanismsMolecular biomarkersOvarian cancerPlatinum resistance

Identifiers

PMID35782973
PMCPMC9243319

What OpenQuestion holds

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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.