Evidence map›Paper›PMID 37396515›Full record

ReviewGenes & diseases2023

Circulating and non-circulating proteins and nucleic acids as biomarkers and therapeutic molecules in ovarian cancer.

Kumar Utkarsh, Abhishek Kumar, Aditi, Azhar Khan, Ashima Nayyar, Shabirul Haque, Shams Iqbal

Abstract readReview
In one paragraph

Review in Genes & diseases, 2023. 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
–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

6 citing papers in PubMed.

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

7 authors.

Kumar UtkarshDepartment of Microbiology and Biotechnology, Shoolini University, Solan, Himachal Pradesh 173229, India.
Abhishek KumarDepartment of Microbiology and Biotechnology, Shoolini University, Solan, Himachal Pradesh 173229, India.
AditiDepartment of Microbiology and Biotechnology, Shoolini University, Solan, Himachal Pradesh 173229, India.
Azhar KhanFaculty of Applied Science and Biotechnology, Shoolini University, Solan, Himachal Pradesh 173229, India.
Ashima NayyarTisch Cancer Institute, Icahn School of Medicine, Mt. Sinai, NY 10029, USA.
Shabirul HaqueDepartment of Autoimmune Diseases, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY 11030, USA.
Shams IqbalVascular Interventional Radiology, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is the second most fatal gynecological cancer. For the last decade or so significant use of non-circulating and circulating biomarkers has been highlighted. However, the study of such biomarkers at nanovesicle technology such as exosomes, proteomic and genomics studies could further contribute to better identification of anomalous protein and networks which could act as potential targets for biomarker and immunotherapy development. This review provides an overview of the circulating and non-circulating biomarkers with the aim of addressing the current challenges and potential biomarkers that could lead to early ovarian cancer diagnosis and better management. By means of this review we also lay a hypothesis that characterization of exosomal protein, nucleic acid content from body fluids (serum, plasma, urine, etc.) can decode the secret of disease and potentially improve diagnostic sensitivity which could further lead to more effective screening and early detection of the disease.

Indexed as

BiomarkerCirculating proteinExosomesExtracellular vesiclesOvarian cancerProteomics

Identifiers

PMID37396515
PMCPMC10308119

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.