Evidence map›Paper›PMID 38606495›Full record

ReviewInternational journal of molecular medicine2024

Promising predictive molecular biomarkers for cervical cancer (Review).

Marcela Lizano, Adela Carrillo-García, Erick De La Cruz-Hernández, Leonardo Josué Castro-Muñoz, Adriana Contreras-Paredes

Abstract readReview
In one paragraph

Review in International journal of molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Co-assembled structures of FeTranslational cancer research · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Exploring the Anticancer Activity ofLife (Basel, Switzerland) · 2025
    Article
  20. 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.

Marcela LizanoUnidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, Universidad Nacional Autónoma de México, Mexico City 14080, Mexico.
Adela Carrillo-GarcíaUnidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, Universidad Nacional Autónoma de México, Mexico City 14080, Mexico.
Erick De La Cruz-HernándezLaboratorio de Investigación en Enfermedades Metabólicas e Infecciosas, División Académica Multidisciplinaria de Comalcalco, Universidad Juárez Autónoma de Tabasco, Ranchería Sur Cuarta Sección, Comalcalco City, Tabasco 86650, Mexico.
Leonardo Josué Castro-MuñozThe Wistar Institute, Philadelphia, PA 19104, USA.
Adriana Contreras-ParedesUnidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, Universidad Nacional Autónoma de México, Mexico City 14080, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer (CC) constitutes a serious public health problem. Vaccination and screening programs have notably reduced the incidence of CC worldwide by >80%; however, the mortality rate in low‑income countries remains high. The staging of CC is a determining factor in therapeutic strategies: The clinical management of early stages of CC includes surgery and/or radiotherapy, whereas radiotherapy and/or concurrent chemotherapy are the recommended therapeutic strategies for locally advanced CC. The histopathological characteristics of tumors can effectively serve as prognostic markers of radiotherapy response; however, the efficacy rate of radiotherapy may significantly differ among cancer patients. Failure of radiotherapy is commonly associated with a higher risk of recurrence, persistence and metastasis; therefore, radioresistance remains the most important and unresolved clinical problem. This condition highlights the importance of precision medicine in searching for possible predictive biomarkers to timely identify patients at risk of treatment response failure and provide tailored therapeutic strategies according to genetic and epigenetic characteristics. The present review aimed to summarize the evidence that supports the role of several proteins, methylation markers and non‑coding RNAs as potential predictive biomarkers for CC.

Indexed as

Uterine Cervical NeoplasmsBiomarkersFemaleHumansBiomarkerscervical cancerDNA methylationnon‑coding RNAspredictive biomarkerstreatment

Identifiers

PMID38606495
PMCPMC11090266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.