Evidence map›Paper›PMID 29974234›Full record

ArticleJournal of cancer research and clinical oncology2018

Upregulation of insulin-like growth factor II mRNA-binding protein 3 (IMP3) has negative prognostic impact on early invasive (pT1) adenocarcinoma of the esophagus.

Patrick Sven Plum, Dita Ulase, Elfriede Bollschweiler, Seung-Hun Chon, Felix Berlth, Thomas Zander, Hakan Alakus, Arnulf H Hölscher, Christiane J Bruns, Simon Schallenberg and 2 more

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. IGF2BPs as novel mGenes & diseases · 2024
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  2. Article
  3. The Role of mCancers · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Review
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

12 authors.

Patrick Sven PlumDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany. Patrick.Plum@uk-koeln.de.ORCID http://orcid.org/0000-0002-8165-4553
Dita UlaseDepartment of Pathology, Riga Stradins University, Riga, Latvia.
Elfriede BollschweilerDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Seung-Hun ChonDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Felix BerlthDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Thomas ZanderDepartment of Internal Medicine I, University Hospital of Cologne, Cologne, Germany.
Hakan AlakusDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Arnulf H HölscherCenter for Esophageal and Gastric Surgery, AGAPLESION Markus Krankenhaus, Frankfurt, Germany.
Christiane J BrunsDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Simon SchallenbergCenter for Esophageal and Gastric Surgery, AGAPLESION Markus Krankenhaus, Frankfurt, Germany.
Alexander QuaasInstitute of Pathology, University Hospital of Cologne, Cologne, Germany.
Heike LoeserInstitute of Pathology, University Hospital of Cologne, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTherapeutic decisions in esophageal adenocarcinomas (EAC) restricted to mucosa (pT1a) or submucosa (pT1b) depend mainly on classic histomorphology-based criteria like tumor grading or lymphovascular invasion with limited success. There is a strong need for reliable pre-therapeutical biomarker-based evaluation also applicable on endoscopically obtained biopsies.

methodsPatients who underwent esophagectomy due to EAC in a high volume center between 1999 and 2016 were included. Tissue microarrays (TMA) were retrospectively established from the formalin-fixed and paraffin-embedded material of the resected specimens and immunohistochemically stained using a monoclonal primary antibody specific for IMP3. IMP3 staining intensity was scored manually according to a 3-tier-scoring system (negative, weak and strong).

results371 EACs were interpretable for analysis. 109 patients (29%) had early invasive (pT1a/pT1b) and 262 patients (71%) locally advanced EAC (> pT2). 259 EACs (70%) revealed positive immunostaining for IMP3 including 167 strongly and 92 weakly positive. Early EAC had significantly lower IMP3 expression compared to advanced tumor stages (p < 0.0001). IMP3 positive pT1 EAC revealed higher levels of lymph node metastases (LNM) (p = 0.0001) and pT1b tumors showed higher rates of IMP3 positivity compared to pT1a (p = 0.007). Subdividing the submucosa in thirds, there was a significant trend for higher IMP3 expression with deeper tumor infiltration from pT1a to pT1b (sm3) (p = 0.0001). There was an association between IMP3 expression and shortened survival in pT1 EAC (p = 0.038).

conclusionsIMP3 expression correlates with depth of tumor infiltration, rate of LNM and is associated with worse outcome. Thus, IMP3 might be useful for therapeutic decisions in early-invasive EAC.

Indexed as

AdenocarcinomaAgedBiomarkers, TumorEsophageal NeoplasmsEsophagectomyEsophagusFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoplasm GradingPrognosisRetrospective StudiesRNA-Binding ProteinsRNA, MessengerBiomarkers, TumorIGF2BP3 protein, humanRNA-Binding ProteinsRNA, MessengerEsophageal adenocarcinoma (EAC)Immunohistochemistry (IHC)IMP3PrognosisT1 esophageal cancerTissue microarray (TMA)

Identifiers

PMID29974234
PMCPMC11813270

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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.