Evidence map›Paper›PMID 36090475›Full record

ReviewMolecular therapy oncolytics2022

Extracellular vesicle contents as non-invasive biomarkers in ovarian malignancies.

Lindsey A McAlarnen, Prachi Gupta, Reena Singh, Sunila Pradeep, Pradeep Chaluvally-Raghavan

Abstract readReview
In one paragraph

Review in Molecular therapy oncolytics, 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Lindsey A McAlarnenDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Prachi GuptaDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Reena SinghDepartment of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Sunila PradeepDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Pradeep Chaluvally-RaghavanDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer most commonly presents at an advanced stage where survival is approximately 30% compared with >80% if diagnosed and treated before disease spreads. Diagnostic capabilities have progressed from surgical staging via laparotomy to image-guided biopsies and immunohistochemistry staining, along with advances in technology and medicine. Despite improvements in diagnostic capabilities, population-level screening for ovarian cancer is not recommended. Extracellular vesicles (EVs) are 40-150 nm structures formed when the cellular lipid bilayer invaginates. These structures function in cell signaling, immune responses, cancer progression, and establishing the tumor microenvironment. EVs are found in nearly every bodily fluid, including serum, plasma, ascites, urine, and effusion fluid, and contain molecular cargo from their cell of origin. This cargo can be analyzed to yield information about a possible malignancy. In this review we describe how the cargo of EVs has been studied as biomarkers in ovarian cancer. We bring together studies analyzing evidence for various cargos as ovarian cancer biomarkers. Then, we describe the role of EVs in modulation of the tumor microenvironment. This review also summarizes the therapeutic and translational potential of EVs for their optimal utilization as non-invasive biomarkers for novel treatments against cancer.

Indexed as

biomarkersepithelial cancerextracellular vesiclesliquid biopsyovarian cancersolid tumortumor microenvironment

Identifiers

PMID36090475
PMCPMC9420349

What OpenQuestion holds

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Registered trials

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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.