Evidence map›Paper›PMID 42883693›Full record

ArticleInternational journal of molecular sciences2026

MYC-SNHG7-miR-34a-5p Feedback Loop Orchestrates GSDMD-Dependent Pyroptosis in Hepatocellular Carcinoma.

Houemakou Rimaud Djidonou, Laís de Carvalho Gonçalves, Djorkaeff O Fontinele, Daner A Silveira, Marialva Sinigaglia, Joao Paulo M S Lima, José Carlos M Mombach, Shantanu Gupta

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Houemakou Rimaud DjidonouBioinformatics Multidisciplinary Environment-BioME-Digital Metropole Institute, Federal University of Rio Grande do Norte, Natal 59076-550, RN, Brazil.ORCID 0009-0006-3338-2799
Laís de Carvalho GonçalvesBioinformatics Multidisciplinary Environment-BioME-Digital Metropole Institute, Federal University of Rio Grande do Norte, Natal 59076-550, RN, Brazil.ORCID 0009-0000-5423-592X
Djorkaeff O FontineleBioinformatics Multidisciplinary Environment-BioME-Digital Metropole Institute, Federal University of Rio Grande do Norte, Natal 59076-550, RN, Brazil.ORCID 0009-0007-1901-9173
Daner A SilveiraChildren's Cancer Institute, Porto Alegre 90620-110, RS, Brazil.ORCID 0000-0003-0621-8345
Marialva SinigagliaChildren's Cancer Institute, Porto Alegre 90620-110, RS, Brazil.ORCID 0000-0002-8324-6860
Joao Paulo M S LimaBioinformatics Multidisciplinary Environment-BioME-Digital Metropole Institute, Federal University of Rio Grande do Norte, Natal 59076-550, RN, Brazil.ORCID 0000-0002-6113-8834
José Carlos M MombachDepartamento de Física, Universidade Federal de Santa Maria, Santa Maria 97105-900, RS, Brazil.ORCID 0000-0002-6602-3905
Shantanu GuptaBioinformatics Multidisciplinary Environment-BioME-Digital Metropole Institute, Federal University of Rio Grande do Norte, Natal 59076-550, RN, Brazil.ORCID 0000-0001-7110-6564

Funding

Brazilian Federal Agency for Support and Evaluation of Graduate Education Finance Code 001Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul 24/2552-0000722-9National Council for Scientific and Technological Development 150960/2022-0National Council for Scientific and Technological Development 152985/2024-7National Council for Scientific and Technological Development 309817/2021-8National Council for Scientific and Technological Development 420548/2025-4
6 · The paper itself

Abstract

Pyroptosis is an immunogenic form of regulated cell death mediated by NLRP3 inflammasome activation, caspase-1, and gasdermin D. Unlike apoptosis, pyroptosis promotes anti-tumor immunity through IL-1β and IL-18 release, making it a promising therapeutic target in hepatocellular carcinoma (HCC). Although the SNHG7/miR-34a/SIRT1 axis has been experimentally linked to NLRP3-dependent pyroptosis, whether it functions as a systems-level regulatory module coordinating the balance between drug resistance and multiple cell-fate outcomes remains unknown. To address this question, we developed a network medicine framework using a Boolean network model integrating drug resistance, senescence, apoptosis, and pyroptosis pathways in HCC. The model was constructed from experimentally validated molecular interactions and independently validated using gain- and loss-of-function perturbation studies that were not used during model construction, demonstrating strong agreement with experimental observations. Our analysis identified a previously unreported MYC-SNHG7-miR-34a double-negative feedback loop, establishing miR-34a as a central regulatory hub controlling cell-fate decisions. Perturbation analysis predicted that SNHG7 inhibition shifts cells from drug resistance toward pyroptosis, identifying restoration of miR-34a activity as a potential strategy to induce immunogenic cell death. These findings provide a systems-level framework for therapeutic targeting of the MYC-SNHG7-miR-34a axis in HCC.

Indexed as

Carcinoma, HepatocellularIntracellular Signaling Peptides and ProteinsLiver NeoplasmsMicroRNAsPhosphate-Binding ProteinsProto-Oncogene Proteins c-mycPyroptosisRNA, Long NoncodingCell Line, TumorDrug Resistance, NeoplasmFeedback, PhysiologicalGasderminsGene Expression Regulation, NeoplasticHumansGasderminsGSDMD protein, humanIntracellular Signaling Peptides and ProteinsMicroRNAsMIRN34 microRNA, humanMYC protein, humanPhosphate-Binding ProteinsProto-Oncogene Proteins c-mycRNA, Long NoncodingBoolean network modelingdrug resistanceGSDMDhepatocellular carcinomamiR-34a-5pMYCpyroptosisSNHG7

Identifiers

PMID42883693
PMCPMC13665239

What OpenQuestion holds

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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.