ArticleEuropean urology open science2020
In Situ Metabolomics Expands the Spectrum of Renal Tumours Positive on
Article in European urology open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- Machine Learning IntegratingCancers · 2023Article
- CARRoT: R-package for predictive modelling by means of regression, adjusted for multiple regularisation methods.PloS one · 2023Article
- Low-grade oncocytic tumor (LOT) - a new renal entity ready for a prime time: An updated review.Histology and histopathology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDefinite noninvasive characterisation of renal tumours positive on
objectiveTo investigate whether combined DESIGN SETTING AND
participantsA tissue microarray analysis of 33 tumour samples from 28 patients was used to investigate whether their in situ metabolomic status correlates with their features on OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: MALDI MSI data analysis and image generation were facilitated by FlexImaging v. 4.2, while k-means analysis by SCiLS Lab software followed by R-package CARRoT analysis was used for assessing the highest predictive power in the differential of RO versus chRCC. Heatmap-based clustering, sparse partial least-squares discriminant analysis, and volcano plots were created with MetaboAnalyst 3.0. RESULTS AND LIMITATIONS: We identified a discriminatory metabolomic signature for
conclusionsThe current study expands the spectrum of PATIENT SUMMARY: For preoperative evaluation of solid renal tumours,
Indexed as
Identifiers
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Registered trials
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.