Evidence map›Paper›PMID 29703178›Full record

ArticleBMC cancer2018

Extra-capsular growth of lymph node metastasis correlates with poor prognosis and high SOX9 expression in gastric cancer.

Helena Link, Martin Angele, Miriam Schüller, Petra Ganschow, Lena Machetanz, Markus Guba, Jens Werner, Thomas Kirchner, Jens Neumann

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 2 institutions in 1 country.

Helena LinkInstitute of Pathology, Faculty of Medicine, LMU Munich, Thalkirchner Straße 36, 80337, Munich, Germany.
Martin AngeleDepartment of General, Visceral, Transplantation, Vascular and Thoracic Surgery, Medical Center of the University of Munich, Munich, Germany.
Miriam SchüllerDepartment of General, Visceral, Transplantation, Vascular and Thoracic Surgery, Medical Center of the University of Munich, Munich, Germany.
Petra GanschowDepartment of General, Visceral, Transplantation, Vascular and Thoracic Surgery, Medical Center of the University of Munich, Munich, Germany.
Lena MachetanzDepartment of General, Visceral, Transplantation, Vascular and Thoracic Surgery, Medical Center of the University of Munich, Munich, Germany.
Markus GubaDepartment of General, Visceral, Transplantation, Vascular and Thoracic Surgery, Medical Center of the University of Munich, Munich, Germany.
Jens WernerDepartment of General, Visceral, Transplantation, Vascular and Thoracic Surgery, Medical Center of the University of Munich, Munich, Germany.
Thomas KirchnerInstitute of Pathology, Faculty of Medicine, LMU Munich, Thalkirchner Straße 36, 80337, Munich, Germany.
Jens NeumannInstitute of Pathology, Faculty of Medicine, LMU Munich, Thalkirchner Straße 36, 80337, Munich, Germany. jens.neumann@med.uni-muenchen.de.ORCID 0000-0001-9200-441X
LMU Klinikum · DEGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtra-capsular growth (ECG) describes the extension of neoplastic cells beyond the lymph node capsule. Aim of this study was to investigate the prognostic value of ECG and its association with a stem cell like phenotype indicated by expression of the transcription factor SOX9 in gastric cancer.

methodsBy histological evaluation, 199 patients with nodal positive gastric cancer or adeoncarcinoma of the esophageal-gastric junction (AEG) were divided into two groups according to the presence (ECG) or absence (ICG) of extracapsular growth in at least one nodal metastasis. Of these, 194 patients were stained for SOX9 and SOX2 using immunohistochemistry. Seventeen nodal negative patients (pT3/4, pN0, pM0) served as controls.

resultsSeventy-three patients (36.7%) showed ECG. ECG was associated with lower overall survival (p < 0.0001), advanced pT- (p = 0.03) and pN- category (p < 0.0001) and lymphovascular invasion (p = 0.014). In multivariate analysis, ECG was found to be an independent prognostic factor (HR = 2.1; 95% CI 1.7-3.4; p = 0.001). SOX9 expression correlated significantly with ECG (96% SOX9 high in ECG patients vs. 79% SOX9 high in patients with ICG; p = 0.002). Controls showed significantly reduced SOX9 expression compared to nodal positive carcinomas (59% vs. 85% high SOX9 expression; p = 0.006). No significant correlation of ECG and SOX2 (59% SOX2 negative in ECG patients vs. 64% in patients with ICG, p = 0.48) could be obtained.

conclusionsPatients with ECG exhibit poorer prognosis and ECG was found to be an independent prognostic factor. Thus, ECG turns out to be a morphological biomarker for a more aggressive phenotype in gastric cancer. This is supported by the fact that ECG correlates with the expression of SOX9, which has been described in the context of pro-oncogenic properties of tumours. However, the fact that SOX2 failed to show significant results indicate that ECG is not associated with a distinct cancer stem cell phenotype in gastric cancer.

Indexed as

AgedAged, 80 and overFemaleGene ExpressionHumansImmunohistochemistryKaplan-Meier EstimateLymph NodesMaleMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisSOX9 Transcription FactorSOXB1 Transcription FactorsStomach NeoplasmsSOX9 Transcription FactorSOXB1 Transcription FactorsECGExtranodal extensionGastric cancerLymph node metastasisPrognosisSOX9

Identifiers

PMID29703178
PMCPMC5924497
OpenAlexW2801862024

What OpenQuestion holds

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LicenceCC BY
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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.