Evidence map›Paper›PMID 39769352›Full record

ArticleInternational journal of molecular sciences2024

Emerging Signatures of Hematological Malignancies from Gene Expression and Transcription Factor-Gene Regulations.

Daniele Dall'Olio, Federico Magnani, Francesco Casadei, Tommaso Matteuzzi, Nico Curti, Alessandra Merlotti, Giorgia Simonetti, Matteo Giovanni Della Porta, Daniel Remondini, Martina Tarozzi and 1 more

Abstract read
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In one paragraph

Article in International journal of molecular sciences, 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. Article
  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

11 authors.

Daniele Dall'OlioDepartment of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.ORCID 0000-0003-0196-6870
Federico MagnaniDepartment of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
Francesco CasadeiIRCCS Istituto delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy.ORCID 0009-0006-0789-546X
Tommaso MatteuzziDepartment of Physics and Astronomy, University of Firenze, 50019 Sesto Fiorentino, Italy.ORCID 0000-0002-1915-9148
Nico CurtiDepartment of Physics and Astronomy, University of Bologna, 40127 Bologna, Italy.ORCID 0000-0001-5802-1195
Alessandra MerlottiDepartment of Physics and Astronomy, University of Bologna, 40127 Bologna, Italy.ORCID 0000-0002-3648-2828
Giorgia SimonettiBiosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0001-6954-969X
Matteo Giovanni Della PortaComprehensive Cancer Center, IRCCS Humanitas Clinical and Research Center and Department of Biomedical Sciences, Humanitas University, 20089 Milan, Italy.
Daniel RemondiniDepartment of Physics and Astronomy, University of Bologna, 40127 Bologna, Italy.ORCID 0000-0003-3185-7456
Martina TarozziDepartment of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.ORCID 0000-0002-4240-0542
Gastone CastellaniDepartment of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.ORCID 0000-0003-4892-925X

Funding

H2020 GenoMed4All 101017549H2020 Harmony Project 116026H2020 Synthema 1101095530Italian Association for Cancer Research 22053Italian Association for Cancer Research 26216Italian Association for Cancer Research 29483PRIN 2017WXR7ZTPRIN 20229B28PE
6 · The paper itself

Abstract

Hematological malignancies are a diverse group of cancers developing in the peripheral blood, the bone marrow or the lymphatic system. Due to their heterogeneity, the identification of novel and advanced molecular signatures is essential for enhancing their characterization and facilitate its translation to new pharmaceutical solutions and eventually to clinical applications. In this study, we collected publicly available microarray data for more than five thousand subjects, across thirteen hematological malignancies. Using PANDA to estimate gene regulatory networks (GRNs), we performed hierarchical clustering and network analysis to explore transcription factor (TF) interactions and their implications on biological pathways. Our findings reveal distinct clustering patterns among leukemias and lymphomas, with notable differences in gene and TF expression profiles. Gene Set Enrichment Analysis (GSEA) identified 57 significantly enriched KEGG pathways, highlighting both common and unique biological processes across HMs. We also identified potential drug targets within these pathways, emphasizing the role of TFs such as

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksHematologic NeoplasmsTranscription FactorsCluster AnalysisGene Expression ProfilingHumansTranscriptomeTranscription Factorsgene regulatory networkshematological cancerstranscriptomics

Identifiers

PMID39769352
PMCPMC11678896

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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.