Evidence map›Paper›PMID 42511800›Full record

ArticleInternational journal of molecular sciences2026

Systems Biology and Experimental Validation Enable Discovery of MMP9-Centered Networks, Anticancer Activity, and Pharmacodynamic Signature in Non-Small Cell Lung Cancer.

Zainab Ahmed Rashid, Rima Hajjo, Dima A Sabbah, Kamal Sweidan, Shriefa Almutairi, Sanaa K Bardaweel

Abstract read
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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.

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Zainab Ahmed RashidDepartment of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman 11942, Jordan.
Rima HajjoDepartment of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman 11733, Jordan.ORCID 0000-0002-7090-5425
Dima A SabbahDepartment of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman 11733, Jordan.ORCID 0000-0003-1428-5097
Kamal SweidanDepartment of Chemistry, The University of Jordan, Amman 11942, Jordan.
Shriefa AlmutairiDepartment of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman 11942, Jordan.ORCID 0000-0002-0695-5014
Sanaa K BardaweelDepartment of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman 11942, Jordan.ORCID 0000-0002-4823-0708

Funding

Al-Zaytoonah University of Jordan 2023-2022/17/50Al-Zaytoonah University of Jordan 2025-2024/06/29University of Jordan 2566University of Jordan 2759
6 · The paper itself

Abstract

Matrix metalloproteinase-9 (MMP9) is involved in extracellular matrix remodeling, inflammation, and metastasis, and its overexpression is associated with poor prognosis in lung cancer. However, the systems-level effects of MMP9 inhibition remain incompletely understood. We combined systems biology with experimental validation to characterize MMP9-centered signaling in non-small cell lung cancer (NSCLC) and identify downstream pharmacodynamic biomarkers. Network and pathway analyses revealed extracellular matrix- and inflammation-related interaction modules and prioritized an

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungLung NeoplasmsMatrix Metalloproteinase 9Systems BiologyA549 CellsApoptosisCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansSignal TransductionAntineoplastic AgentsMatrix Metalloproteinase 9MMP9 protein, humanapoptosisextracellular matrix remodelingmatrix metalloproteinase-9 (MMP9) inhibitorsnon-small cell lung cancer (NSCLC)pharmacodynamic biomarkersystems biology

Identifiers

PMID42511800
PMCPMC13410491

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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.