Evidence map›Paper›PMID 20182873›Full record

ArticleCancer immunology, immunotherapy : CII2010

Serum IgG against Candida predict survival in patients with metastatic renal cell carcinoma.

Reinhold Ramoner, Andrea Rahm, Claudia E Falkensammer, Nicolai Leonhartsberger, Martin Thurnher

Erratum issuedAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Reinhold RamonerImmunotherapy Unit, Department of Urology, Innsbruck Medical University, Innrain 66a, 6020, Innsbruck, Austria.
Andrea Rahm
Claudia E Falkensammer
Nicolai Leonhartsberger
Martin Thurnher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimIn contrast to hematologic malignancies, little is known about the role of fungi in the development and progression of solid tumors. This prompted us to analyze and correlate serum levels of different fungal IgG with survival of patients with metastatic renal cell carcinoma. PATIENTS AND

methodsSerum IgG to Candida sp., Saccharomyces cerevisiae and Aspergillus fumigatus were measured in a cross-sectional study in 64 patients with advanced disease. Univariate and multivariate analyses were chosen to study serum IgG as prognostic indicators.

resultsMedian follow-up was 29.0 months (range 0.3-122). Median overall survival of patients, which tested negative for Candida IgG, was significantly increased (median not reached, >29 months) compared with Candida IgG positive patients (17.8 months, P = 0.002). Median survival of Saccharomyces IgG negative patients was 33.1 months as opposed to 19.4 months in Saccharomyces IgG positive patients, although this difference was not significant (P = 0.281). No difference in overall survival was found between Aspergillus IgG positive patients (28.0 months) and Aspergillus IgG negative patients (29.1 months) (P = 0.181). Cox backward-stepwise regression confirmed Candida IgG as the strongest predictor of survival in metastatic renal cell carcinoma patients (risk ratio 3.27, P = 0.001, [95% CI 1.86-5.73]).

conclusionOur findings suggest that IgG antibodies directed against yeast fungi and particularly against Candida but not against mold fungi have prognostic relevance.

Indexed as

AgedAntibodies, FungalAntigens, FungalBiomarkers, TumorCandidaDisease ProgressionFemaleFollow-Up StudiesFungal ProteinsHumansImmunoglobulin GKidney NeoplasmsMaleMiddle AgedNeoplasm MetastasisNeoplasm StagingAntibodies, FungalAntigens, FungalBiomarkers, TumorFungal ProteinsImmunoglobulin G

Identifiers

PMID20182873
PMCPMC11031116

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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.