Evidence map›Paper›PMID 37854156›Full record

ArticleTranslational lung cancer research2023

HSP90 expression is associated with outcome in pulmonary carcinoid tumor patients.

Jenni Niinimäki, Harri Sihto, Johanna Arola, Tiina Vesterinen

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 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
0.8field-weighted citation impact, top 27% 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, 5 citations in OpenAlex.

  1. Review
  2. Proteomics Reveals the Response Mechanism of Embryonic Bovine Lung Cells toInternational journal of molecular sciences · 2025
    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

4 authors at 1 institution in 1 country.

Jenni NiinimäkiDepartment of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Harri SihtoDepartment of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Johanna Arola *HUS Diagnostic Center, HUSLAB, Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Tiina Vesterinen *HUS Diagnostic Center, HUSLAB, Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Helsinki University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary carcinoids (PCs) are rare tumors that account for <2% of all lung cancer cases. Patients who undergo resection for PC tumors generally have a favorable prognosis, but there is a risk for late recurrence and distant metastasis. The objective of this study was to identify biomarkers for PC tumors using RNA sequencing and immunohistochemistry. Methods: A total of 128 formalin-fixed, paraffin-embedded PC tumor samples from patients surgically treated at Helsinki University Hospital between 1990 and 2013 were analyzed in the study. RNA sequencing was first used to detect genes with higher expression in specific histological subtypes and metastatic and nonmetastatic tumors than in adjacent lung tissue. The diagnostic potential of the biomarkers was assessed using immunohistochemistry. Results: Through gene expression analysis, Conclusions: This study confirms that HSP90 has a prognostic role in PC tumors and that inhibition of HSP90 may possess therapeutic potential in the management of PC tumor patients in the future.

Indexed as

gene expressionheat-shock protein 90 (HSP90)immunohistochemistryPulmonary carcinoids (PC)

Identifiers

PMID37854156
PMCPMC10579826
OpenAlexW4387061406

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.