Evidence map›Paper›PMID 35496046›Full record

ArticleBioMed research international2022

Understanding the Correlation between Metabolic Regulator SIRT1 and Exosomes with CA-125 in Ovarian Cancer: A Clinicopathological Study.

Sraddhya Roy, Ananya Das, Manisha Vernekar, Syamsundar Mandal, Nabanita Chatterjee

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Delivery of SIRT1 by cancer-associated adipocyte-derived extracellular vesicles regulates immune response and tumorigenesis of ovarian cancer cells.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 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

5 authors at 1 institution in 1 country.

Sraddhya RoyDepartment of Receptor Biology and Tumor Metastasis, Chittaranjan National Cancer Institute, Kolkata, India.
Ananya DasDepartment of Receptor Biology and Tumor Metastasis, Chittaranjan National Cancer Institute, Kolkata, India.
Manisha VernekarDepartment of Gynaecological Oncology, Chittaranjan Cancer Hospital, Kolkata, India.
Syamsundar MandalDepartment of Epidemiology and Biostatistics, Chittaranjan National Cancer Institute, Kolkata, India.
Nabanita ChatterjeeDepartment of Receptor Biology and Tumor Metastasis, Chittaranjan National Cancer Institute, Kolkata, India.ORCID https://orcid.org/0000-0002-4025-9426
Chittaranjan National Cancer Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ovarian cancer (OvCa), the deadliest gynaecological malignancy, is associated with poor prognosis and high mortality rate. Ovarian cancer has been related with CA-125 and metabolic reprogramming by SIRT1 leading to metastasis with the involvement of exosomes. Methods: Clinicopathological data of OvCa patients were collected to perform the analysis. Patients' samples were collected during surgery for immunohistochemistry and flow cytometric analysis of SIRT1, HIF-1 Results: CA-125, a vital diagnostic marker, has shown significant correlation with body mass index (BMI) ( Conclusion: Clinicopathological parameters like BMI, degree of dissemination, and ascites level along with CA-125 can be prognostic factors for the disease. Levels of CA-125 can depict the metabolic and metastatic factors. Thus, by targeting SIRT1 and assessing exosomal concentrations to overcome metastasis and glycogen deposition, individualized treatment strategy could be designed. In-depth studies are still required.

Indexed as

ExosomesOvarian NeoplasmsAscitesCA-125 AntigenCarcinoma, Ovarian EpithelialFemaleGlycogenHumansKi-67 AntigenMucinsPrognosisSirtuin 1CA-125 AntigenGlycogenKi-67 AntigenMucinsSIRT1 protein, humanSirtuin 1

Identifiers

PMID35496046
PMCPMC9053760
OpenAlexW4224292428

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.