Evidence map›Paper›PMID 40724602›Full record

ReviewLife (Basel, Switzerland)2025

Prognostic Significance of the Comprehensive Biomarker Analysis in Colorectal Cancer.

Vera Potievskaya, Elizaveta Tyukanova, Marina Sekacheva, Zaki Fashafsha, Anastasia Fatyanova, Mikhail Potievskiy, Elena Kononova, Anna Kholstinina, Ekatherina Polishchuk, Peter Shegai and 1 more

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2025. 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. STAT3 Inhibition to Treat Ulcerative Colitis-Associated Colorectal Cancer.International journal of molecular sciences · 2025
    Article
  3. 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

11 authors.

Vera PotievskayaRussian Medical Academy of Postgraduate Education of Federal Scientific and Clinical Center for Specialized Medical Assistance and Medical Technologies of the Federal Medical Biological Agency, Volokolamskoye Shosse, 91, 125371 Moscow, Russia.
Elizaveta TyukanovaOncology Department of Antitumor Drug Therapy, Sechenov University Clinical Hospital No.4, I.M. Sechenov First Moscow State Medical University, Str. Dovatora, 15, Bldg. 2, 119048 Moscow, Russia.ORCID 0000-0002-6315-1290
Marina SekachevaWorld-Class Reserch Centre «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), Str. Bolshaya Pirogovskaya, 6, Bldg. 1, 119991 Moscow, Russia.
Zaki FashafshaP. Hertsen Moscow Oncology Research Institute-Branch or the Federal State Budgetary Institution "National Medical Research Radiological Centre" of the Ministry of Health of the Russian Federation, 2nd Botkinsky Proezd, 3, 125284 Moscow, Russia.ORCID 0000-0001-5473-3101
Anastasia FatyanovaOncology Department of Antitumor Drug Therapy, Sechenov University Clinical Hospital No.4, I.M. Sechenov First Moscow State Medical University, Str. Dovatora, 15, Bldg. 2, 119048 Moscow, Russia.
Mikhail PotievskiyFederal State Budgetary Institution "National Medical Research Radiological Centre" of the Ministry of Health of the Russian Federation, 4, Koroleva Street, 249036 Obninsk, Russia.
Elena KononovaP. Hertsen Moscow Oncology Research Institute-Branch or the Federal State Budgetary Institution "National Medical Research Radiological Centre" of the Ministry of Health of the Russian Federation, 2nd Botkinsky Proezd, 3, 125284 Moscow, Russia.
Anna KholstininaOncology Department of Antitumor Drug Therapy, Sechenov University Clinical Hospital No.4, I.M. Sechenov First Moscow State Medical University, Str. Dovatora, 15, Bldg. 2, 119048 Moscow, Russia.
Ekatherina PolishchukOncology Department of Antitumor Drug Therapy, Sechenov University Clinical Hospital No.4, I.M. Sechenov First Moscow State Medical University, Str. Dovatora, 15, Bldg. 2, 119048 Moscow, Russia.
Peter ShegaiFederal State Budgetary Institution "National Medical Research Radiological Centre" of the Ministry of Health of the Russian Federation, 4, Koroleva Street, 249036 Obninsk, Russia.
Andrey KaprinFederal State Budgetary Institution "National Medical Research Radiological Centre" of the Ministry of Health of the Russian Federation, 4, Koroleva Street, 249036 Obninsk, Russia.

Funding

Russian Science Foundation 25-24-20176
6 · The paper itself

Abstract

Colorectal carcinoma remains one of the primary contributors to cancer deaths; however, it is also considered a preventable type of cancer, because the prognosis of the disease is directly dependent on its timely detection. Developing accurate risk prediction models for colorectal cancer is crucial for identifying individuals at both low and high risk, as risk stratification determines the need for additional interventions, which carry their own risks. The development of new non-invasive diagnostic methods based on biomaterial analysis, alongside standard diagnostic techniques such as colonoscopy with biopsy, computed tomography scanning, and magnetic resonance imaging, can address multiple objectives: improving screening accuracy, providing a comprehensive assessment of minimal residual disease, identifying patients at a high risk of colorectal cancer, and evaluating the effectiveness of ongoing treatments. The lack of sensitive diagnostic methods drives contemporary research toward the discovery of new tools for detecting tumor cells, particularly through the examination of biological materials, including blood, exhaled air, and tumor tissue itself. In this article, we analyze current studies regarding biomarkers in colorectal cancer and prognostic significance.

Indexed as

circulating tumor DNAcolorectal cancergenomicsliquid biopsymetabolomicsviolate organic compounds

Identifiers

PMID40724602
PMCPMC12298377

What Socratic 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 Socratic graph.