Evidence map›Paper›PMID 39139989›Full record

ArticlePrecision clinical medicine2024

Computational insights into CRISP3 downregulation in cervical cancer and its cervical lineages pattern.

Ricardo Cesar Cintra, Andrés Galindo Céspedes, Mércia Patrícia Ferreira Conceição, Maiza Vitoria Aguiar Silva Oliveira, Alessandro Buron, Deisiane Rodrigues das Neves, Fabio Alves Moraes, Olinda Maria Gamarra, Daniel Rodrigues de Bastos

Abstract read
In one paragraph

Article in Precision clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Multiple Myeloma: Genetic and Epigenetic Biomarkers with Clinical Potential.International journal of molecular sciences · 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

9 authors.

Ricardo Cesar CintraDepartment of Oncology, Universidade de São Paulo, São Paulo 71.961-540, Brazil.
Andrés Galindo CéspedesClinical Pathology Service, Almanzor Aguinaga Asenjo National Hospital, Chiclayo 14001, Peru.
Mércia Patrícia Ferreira ConceiçãoDepartment of Oncology, Universidade de São Paulo, São Paulo 71.961-540, Brazil.
Maiza Vitoria Aguiar Silva OliveiraUniversidad Privada del Este, Alto Paraná 7000, Paraguay.
Alessandro BuronUniversidad Privada del Este, Alto Paraná 7000, Paraguay.
Deisiane Rodrigues das NevesUniversidad Privada del Este, Alto Paraná 7000, Paraguay.
Fabio Alves MoraesUniversidad Privada del Este, Alto Paraná 7000, Paraguay.
Olinda Maria GamarraUniversidad Privada del Este, Alto Paraná 7000, Paraguay.
Daniel Rodrigues de BastosUniversidad Privada del Este, Alto Paraná 7000, Paraguay.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cysteine-rich secretory protein 3 (CRISP3) emerges as a potential biomarker in the study of many cancers, including cervical cancer (CC). This study aimed to analyze the expression pattern of CRISP3 in CC patients and CC cell lineages, following treatment with the epigenetic drugs: trichostatin A (TSA) and 5-aza-2'-deoxycytidine (5-aza). Methods: The differentially expressed genes identified in GSE63514 were used to construct a protein-protein interaction network. CRISP3 was selected for subsequent analyses. We utilized data from the TCGA and GENT2 projects to evaluate the expression profile and clinical behavior of CRISP3. Additionally, we conducted cell culture experiments to analyze the expression profile of CRISP3 in cells. Results: Low levels of CRISP3 were observed in squamous cell carcinoma (SCC) and human papillomavirus (HPV)16+, along with being associated with worse overall survival (OS). MIR-1229-3p was analyzed, and its high expression was associated with worse prognostic outcomes. In CC-derived cell lines, we observed low levels of CRISP3 in SiHa, followed by SW756, C33A, HeLa, and higher levels in CaSki. All cells were treated with TSA, 5-aza, or both. In all cell lines, treatment with TSA resulted in increased transcription of CRISP3. Conclusion: We identified a significant downregulation of CRISP3 in CC, particularly in cases with HPV16 infection and SCC, which was associated with poorer OS. Preliminary findings suggest that epigenetic treatments with TSA and 5-aza may modulate CRISP3 expression, warranting further research to elucidate its regulatory mechanisms and potential as a prognostic biomarker.

Indexed as

biomarkers in cancercervical cancerCRISP3prognosisuterine cervical carcinoma

Identifiers

PMID39139989
PMCPMC11319933

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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.