Evidence map›Paper›PMID 37200263›Full record

ArticlePloS one2023

Exploring biomarkers and prognostic factors in uterine carcinosarcoma: An insight into L1CAM, CDX2, p53, and MSI status.

Jesse Lopes da Silva, Lucas Zanetti de Albuquerque, Fabiana Resende Rodrigues, Nina Carrossini Bastos, Isabele Avila Small, Elisa Bouret Campos Barroso, Fernando Lopes Cordero, Daniel de Souza Fernandes, Eduardo Paulino, Andreia Cristina de Melo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 1 institution in 1 country.

Jesse Lopes da SilvaDivision of Clinical Research and Technological Development, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.ORCID 0000-0002-0790-9917
Lucas Zanetti de AlbuquerqueDivision of Clinical Research and Technological Development, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
Fabiana Resende RodriguesDivision of Pathology, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.ORCID 0000-0001-5062-1065
Nina Carrossini BastosDivision of Pathology, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
Isabele Avila SmallDivision of Clinical Research and Technological Development, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
Elisa Bouret Campos BarrosoClinical Oncology Section, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
Fernando Lopes CorderoGynecologic Oncology Section, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
Daniel de Souza FernandesGynecologic Oncology Section, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
Eduardo PaulinoClinical Oncology Section, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
Andreia Cristina de MeloDivision of Clinical Research and Technological Development, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
Instituto Nacional de Câncer - INCA · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUterine Carcinosarcomas (UCS) are a rare type of cancer composed of an admixture of high-grade carcinomatous and sarcomatous elements. Clinicopathological prognostic factors in UCS are well established, but studies that approach the impact of biomarkers in this unusual disease are scarce. The study objective was to evaluate the prevalence and prognostic impact of a panel of prominent biomarkers in uterine carcinosarcoma (UCS) using an immunohistochemical characterization with four biomarkers. METHODS AND

findingsThe internal database of a single Brazilian institution was carefully explored to select women diagnosed with UCS who were submitted to surgery and postoperative chemotherapy with carboplatin and paclitaxel between January 2012 and December 2017. Tissue microarrays containing UCS samples were evaluated by immunohistochemistry for L1CAM, CDX2, p53 and microsatellite instability markers. A total of 57 cases were included. The mean age was 65.3 years (standard deviation, SD 7.0). L1CAM was negative (score 0, no staining) in 27 (47.4%) patients. Of L1CAM-positive, 10 (17.5%) showed weak (score 1, <10%), 6 (10.5%) showed moderate (score 2, between 10-50%), and 14 (24.6%) showed strong L1CAM staining (score 3, ≧50%). dMMR occurred in 3 (5.3%) cases. The p53 was aberrantly expressed in 15 (26.3%) tumors. CDX2 was positive in 3 (5.3%) patients. The three-year progression-free survival (PFS) rate in the general population of the study was 21.2% (95% CI: 11.7-38.1) and the three-year overall survival (OS) rate was 29.4% (95% CI: 18.1-47.6). By multivariate analysis, the presence of metastases and CDX2-positive were significantly associated with poorer PFS (p < 0.001 and p = 0.002, respectively) and OS (p < 0.001 and p = 0.009, respectively).

conclusionThe strong influence of CDX2 on prognosis requires further investigation. Biological or molecular variability may have impaired the assessment of the impact of the other markers on survival.

Indexed as

CarcinosarcomaNeural Cell Adhesion Molecule L1Uterine NeoplasmsAgedBiomarkers, TumorCDX2 Transcription FactorFemaleHumansPrognosisRetrospective StudiesTumor Suppressor Protein p53Biomarkers, TumorCDX2 protein, humanCDX2 Transcription FactorNeural Cell Adhesion Molecule L1Tumor Suppressor Protein p53

Identifiers

PMID37200263
PMCPMC10194969
OpenAlexW4377095060

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.