Evidence map›Paper›PMID 41131040›Full record

ArticleScientific reports2025

Streptococcus pneumoniae infection is associated with matrix metalloproteinase-9 in lung cancer progression and brain metastases.

Lu Gao, Pushpa Dhilipkannah, Feng Jiang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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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. Review
  2. Review
4 · The record

Corrections and comments

  • Update of
    2025
5 · Who and what money

Authors and funding

3 authors.

Lu GaoDepartment of Pathology, University of Maryland School of Medicine, 10 S. Pine St, Baltimore, MD, 21201, USA.
Pushpa DhilipkannahDepartment of Pathology, University of Maryland School of Medicine, 10 S. Pine St, Baltimore, MD, 21201, USA.
Feng JiangDepartment of Pathology, University of Maryland School of Medicine, 10 S. Pine St, Baltimore, MD, 21201, USA. fjiang@som.umaryland.edu.

Funding

Plasma microRNA biomarkers for lung cancer diagnosisUH3CA251139 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Feng Jiang · 2023 to 2026
$882k
NCI NIH HHS UH3 CA251139
6 · The paper itself

Abstract

Tumor progression and metastasis, particularly brain metastases, are major causes of mortality in lung cancer. Emerging evidence indicates that microbial infections can influence tumor biology. We previously identified Streptococcus pneumoniae (SP) as a contributing factor to lung cancer progression. Matrix metalloproteinases (MMPs) are key enzymes involved in extracellular matrix remodeling and have been implicated in promoting metastatic dissemination. This study investigated the association between SP infection, MMP expression, and clinical outcomes in 126 lung cancer tissues. SP DNA levels were quantified using droplet digital PCR, and MMP protein expression was assessed by immunohistochemistry. Elevated SP abundance was significantly correlated with increased MMP-9 expression, advanced tumor stage, presence of brain metastases, and reduced overall survival (P < 0.05), whereas no significant association was observed with MMP-2. Therefore, SP infection is associated with lung cancer progression and metastasis through its correlation with MMP-9-mediated extracellular matrix remodeling. This association highlights a potential therapeutic target for limiting metastatic spread and improving patient outcomes; however, functional studies are required to confirm its mechanistic role in lung tumorigenesis.

Indexed as

Brain NeoplasmsLung NeoplasmsMatrix Metalloproteinase 9Pneumococcal InfectionsStreptococcus pneumoniaeAgedCarcinogenesisCarcinoma, Non-Small-Cell LungCohort StudiesDisease ProgressionDNA, BacterialFemaleHumansLungMaleMatrix Metalloproteinase 2DNA, BacterialMatrix Metalloproteinase 2Matrix Metalloproteinase 9MMP2 protein, humanMMP9 protein, humanBrain metastasesExtracellular matrix remodelingLung cancerMatrix metalloproteinase-9Streptococcus pneumoniae

Identifiers

PMID41131040
PMCPMC12550027

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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.