Evidence map›Paper›PMID 34267805›Full record

ReviewEcancermedicalscience2021

Clinical significance of microRNA-200 and let-7 families expression assessment in patients with ovarian cancer.

Severyn Ferneza, Markiyan Fetsych, Roman Shuliak, Halyna Makukh, Natalia Volodko, Roman Yarema, Taras Fetsych

Open access · goldAbstract readReview
In one paragraph

Review in Ecancermedicalscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

7 authors at 3 institutions in 1 country.

Severyn FernezaDepartment of Oncology and Radiology FPGE, Danylo Halytsky Lviv National Medical University, Hasheka 2A str., Lviv 79000, Ukraine.
Markiyan FetsychDepartment of Oncology and Radiology FPGE, Danylo Halytsky Lviv National Medical University, Hasheka 2A str., Lviv 79000, Ukraine.
Roman ShuliakDepartment of Microinvasive Surgery, Lviv State Regional Oncology Treatment and Diagnostic Center, Hasheka 2A str., Lviv 79000, Ukraine.
Halyna MakukhInstitute of Hereditary Pathology, National Academy of Medical Sciences of Ukraine, Lviv 79000, Ukraine.
Natalia VolodkoDepartment of Oncology and Radiology FPGE, Danylo Halytsky Lviv National Medical University, Hasheka 2A str., Lviv 79000, Ukraine.
Roman YaremaDepartment of Oncology and Radiology FPGE, Danylo Halytsky Lviv National Medical University, Hasheka 2A str., Lviv 79000, Ukraine.
Taras FetsychDepartment of Oncology and Radiology FPGE, Danylo Halytsky Lviv National Medical University, Hasheka 2A str., Lviv 79000, Ukraine.
Danylo Halytsky Lviv National Medical University · UAKyiv City Clinical Oncology Center · UANational Academy of Medical Sciences of Ukraine · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) represents the most lethal malignancy in gynaecologic oncology practice and shows a high recurrence rate due to its early chemoresistance to first-line chemotherapy. Yet, timely selection of the correct treatment strategy is likely to prolong a patient's survival. MicroRNAs (miRNAs) are a class of short non-coding RNAs responsible for the expression of 30%-60% of human genes. In numerous studies, miRNAs have been used to provide the overall prognosis for patients and analyse the process's prevalence and responses to chemotherapy. In particular, miRNAs as markers for predicting the sensitivity of OC to platinum- and taxane-based chemotherapeutics can significantly improve the treatment efficacy. This article highlights two families of miRNAs: miR-200 and let-7, which are promising for further research on OC and its chemosensitivity.

Indexed as

biomarkersmicroRNAovarian cancer

Identifiers

PMID34267805
PMCPMC8241451
OpenAlexW3172013300

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.