Evidence map›Paper›PMID 15682484›Full record

ArticleWorld journal of gastroenterology2005

Clinical significance of matrix metalloproteinase-9 expression in esophageal squamous cell carcinoma.

Zhen-Dong Gu, Ke-Neng Chen, Ming Li, Jin Gu, Ji-You Li

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Can MMP-9 be a Prognosticator Marker for Oral Squamous Cell Carcinoma?Journal of clinical and diagnostic research : JCDR · 2016
    Article
  3. Silencing of CXCR2 and CXCR7 protects against esophageal cancer.American journal of translational research · 2016
    Article
  4. Review
  5. Article
  6. 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 at 1 institution in 1 country.

Zhen-Dong GuDepartment of Thoracic Surgery, Peking University School of Oncology, Beijing Cancer Hospital, Beijing 100036, China.
Ke-Neng Chen
Ming Li
Jin Gu
Ji-You Li
Peking University Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the expression of matrix metalloproteinase-9 (MMP-9) and its clinical significance in esophageal squamous cell carcinoma (ESCC).

methodsThe expression of MMP-9 in 208 cases of ESCC was detected by immunohistochemistry (IHC) and its clinical significance in ESCC especially the relationship with the clinicopathological parameters was analyzed.

resultsThe percentage of positive cases for MMP-9 detected by IHC was 49.0%. MMP-9 was mainly expressed in the cytoplasm of cancer cells especially in the invasive front. Only weak expression was detected in the stromal cells and no expression in non-cancerous mucosa. The expression of MMP-9 was positively correlated with poorer differentiation (P = 0.001<0.01), existence of vessel permeation (P = 0.027<0.05) and lymph node metastasis (P = 0.027<0.05).

conclusionThe expression of MMP-9 correlates with the cancer cell differentiation, vessel permeation and lymph node metastasis. It may be a novel biomarker for the diagnosis and treatment of ESCC.

Indexed as

Biomarkers, TumorAdultAgedCarcinoma, Squamous CellCell DifferentiationEsophageal NeoplasmsFemaleGene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMaleMatrix Metalloproteinase 9Middle AgedPrognosisBiomarkers, TumorMatrix Metalloproteinase 9

Identifiers

PMID15682484
PMCPMC4250600
OpenAlexW2041849800

What OpenQuestion holds

Textmetadata
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.