Evidence map›Paper›PMID 39068989›Full record

ArticleThe Journal of molecular diagnostics : JMD2024

Comparative Analysis of Gene Expression Analysis Methods for RNA in Situ Hybridization Images.

Valeria Ariotta, Eros Azzalini, Vincenzo Canzonieri, Sampsa Hautaniemi, Serena Bonin

Abstract readComparative Study
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2024. 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
–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. Self-Assembling Short Peptide Carriers for Gene Delivery.International journal of molecular sciences · 2026
    Review
  2. 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

5 authors.

Valeria AriottaResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Eros AzzaliniDepartment of Medical Sciences, University of Trieste, Trieste, Italy.
Vincenzo CanzonieriDepartment of Medical Sciences, University of Trieste, Trieste, Italy; Pathology Unit, Centro di Riferimento Oncologico IRCCS, Aviano-National Cancer Institute, Pordenone, Italy.
Sampsa HautaniemiResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Serena BoninDepartment of Medical Sciences, University of Trieste, Trieste, Italy. Electronic address: sbonin@units.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression analysis is pivotal in cancer research and clinical practice. Although traditional methods lack spatial context, RNA in situ hybridization (RNA-ISH) is a powerful technique that retains spatial tissue information. Here, RNAscope score, RT-droplet digital PCR, and automated QuantISH and QuPath were used for quantifying RNA-ISH expression values from formalin-fixed, paraffin-embedded samples. The methods were compared using high-grade serous ovarian carcinoma samples, focusing on CCNE1, WFDC2, and PPIB genes. The findings demonstrate good concordance between automated methods and RNAscope, with RT-droplet digital PCR showing less concordance. Additionally, QuantISH exhibits robust performance, even for low-expressed genes like CCNE1, showcasing its modular design and enhancing accessibility as a viable alternative for gene expression analysis.

Indexed as

Gene Expression ProfilingIn Situ HybridizationOvarian NeoplasmsCyclin EFemaleHumansRNACyclin ERNA

Identifiers

PMID39068989
PMCPMC11702285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.