Evidence map›Paper›PMID 36928883›Full record

ArticleInternational journal of experimental pathology2023

Clinicopathological features and immunophenotype of Silva pattern system in endocervical adenocarcinoma.

Chao Zeng, Jin-Ke Wu, Xiaofang Lu

Open access · greenAbstract read
In one paragraph

Article in International journal of experimental pathology, 2023. 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
1.5field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Association between Silva pattern-based classification and endocervical adenocarcinoma: a systematic review and meta-analysis.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
    Pooled it
  2. Review
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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

3 authors at 2 institutions in 1 country.

Chao ZengDepartment of Pathology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Jin-Ke WuDepartment of Pathology, Guangdong Medical University, Guangdong, Dongguan, China.ORCID 0000-0003-1478-9244
Xiaofang LuDepartment of Pathology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Sun Yat-sen University · CNGuangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the correlation between Silva pattern system and clinicopathological features of endocervical adenocarcinoma. Moreover, it was to find molecular markers helpful for Silva classification, and thus we also explored the expression levels of invasion, adhesion and proliferation biomarkers in cases of Silva non-invasive and invasive types. The survival based on Silva pattern system was analysed by Kaplan-Meier survival analysis, Log-rank test and  a COX risk proportionality model. Sixty samples were chosen to detect the MMP-2, MMP-9, u-PA, E-cadherin, β-catenin, EGF, TGF-α, HDGF, c-Met and RGN expression by immunohistochemistry. Multivariate analysis showed that pattern A/pattern B/pattern C Silva pattern system provided independent risk factors for prognosis. Our results found the levels of MMP-2, MMP-9 and u-PA were significantly higher in endocervical adenocarcinoma with destructive growth than in the  nondestructive group. The levels of E-cadherin and β-catenin were significantly lower in endocervical adenocarcinoma with destructive growth than in the nondestructive group. The levels of EGF, TGF-α and HDGF were significantly higher in endocervical adenocarcinoma with destructive growth than in the nondestructive group. Compared with 'non-invasive/invasive Silva pattern', this study suggests 'pattern A/pattern B/pattern C Silva pattern' could be a better criteria for predicting the prognosis. Furthermore, the dual-marker combination of 'MMP-2 and u-PA' and 'E-cadherin and β-catenin' is very important in the diagnosis of Silva pattern classification.

Indexed as

AdenocarcinomaUterine Cervical Neoplasmsbeta CateninCadherinsEpidermal Growth FactorFemaleHumansMatrix Metalloproteinase 2Matrix Metalloproteinase 9PrognosisTransforming Growth Factor alphaUrokinase-Type Plasminogen Activatorbeta CateninCadherinsEpidermal Growth FactorMatrix Metalloproteinase 2Matrix Metalloproteinase 9Transforming Growth Factor alphaUrokinase-Type Plasminogen ActivatorEndocervical adenocarcinomaImmunophenotypeSilva pattern system

Identifiers

PMID36928883
PMCPMC10182364
OpenAlexW4327682520

What OpenQuestion holds

Textmetadata
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.