Evidence map›Paper›PMID 12189553›Full record

ArticleBritish journal of cancer2002

A model for co-expression pattern analysis of genes implicated in angiogenesis and tumour cell invasion in cervical cancer.

P O Van Trappen, A Ryan, M Carroll, C Lecoeur, L Goff, V G Gyselman, B D Young, D G Lowe, M S Pepper, J H Shepherd and 1 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 75 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. VEGFA isoforms play a vital role in oral cancer progression.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  5. HPV18 E7 induces the over-transcription of eIF4E gene in cervical cancer.Iranian journal of basic medical sciences · 2015
    Article
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  8. Review
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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 at 2 institutions in 1 country.

P O Van TrappenDepartment of Gynaecological Oncology, Cancer Research UK Translational Oncology Laboratory, John Vane Science Centre, Queen Mary University of London, London, UK. p.o.vantrappen@qmul.ac.uk
A Ryan
M Carroll
C Lecoeur
L Goff
V G Gyselman
B D Young
D G Lowe
M S Pepper
J H Shepherd
I J Jacobs
Queen Mary University of London · GBCancer Research UK · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, numerous genes have been identified which are involved in both tumour neovascularisation (angiogenesis) and tumour cell invasion, and most of them are also expressed to some extent under normal physiological conditions. However, little is known about how these genes co-express in these settings. This study was undertaken to quantitate mRNA levels in normal and malignant cervical tissues of nine selected genes (VEGF(121), VEGF(165), VEGF(189), VEGF-C, eIF-4E, b-FGF, TSP-2, MMP-2 and MMP-9) implicated in the above processes using real-time quantitative RT-PCR. In addition, the Spearman's rank correlation was used to determine their co-expression patterns. The transcript levels for the different VEGF-A splice variants (VEGF(121), VEGF(165), VEGF(189)) were at least 10-fold higher in the cancer cases, with the highest levels in the primary tumours demonstrating lympho-vascular space involvement. The lymphangiogenic factor VEGF-C and MMP-9 were upregulated 130- and 80-fold respectively in cervical cancers. The highest levels of VEGF-C mRNA were found in the lymph-node positive group. The transcript levels for b-FGF were similar in normal cervical tissue and early-stage cervical cancer, however, higher levels were found in the cervical cancers with advanced stage disease. Comparing gene transcript levels between recurrent and non-recurrent cervical cancer patients revealed significant differences (P=0.038) in transcript levels for the angiogenesis inhibitor TSP-2, with the highest levels in non-recurrent cases. Co-expression pattern analysis in normal cervical tissue revealed highly significant co-expressions (P<0.0001) between TSP-2 and most other genes analysed (VEGF(121), VEGF(165), VEGF-C, b-FGF and MMP-2). In cervical cancer, TSP-2 appears only to be highly co-expressed with MMP-2 (P<0.0001). In contrast to normal cervical tissue, we found a highly significant co-expression (P<0.0001) between MMP-9 and VEGF(189) in cervical cancer. The combined application of real-time quantitative RT-PCR and Spearman's rank correlation identifies gene transcripts which are simultaneously co-expressed. Our results revealed a significant co-expression between the angiogenesis inhibitor TSP-2 and most other genes analysed in normal cervical tissue. In cervical cancer, we found a strong upregulation of VEGF-C and MMP-9 mRNA, with a highly significant co-expression between MMP-9 and VEGF(189).

Indexed as

Gene Expression Regulation, NeoplasticModels, GeneticCervix UteriEndothelial Growth FactorsEukaryotic Initiation Factor-4EFemaleFibroblast Growth FactorsHumansLymphokinesMatrix Metalloproteinase 2Matrix Metalloproteinase 9Neoplasm InvasivenessNeoplasm ProteinsNeoplasm Recurrence, LocalNeovascularization, PathologicNeovascularization, PhysiologicEndothelial Growth FactorsEukaryotic Initiation Factor-4EFibroblast Growth FactorsLymphokinesMatrix Metalloproteinase 2Matrix Metalloproteinase 9Neoplasm ProteinsPeptide Initiation FactorsProtein IsoformsRNA, MessengerRNA, Ribosomal, 18SVascular Endothelial Growth Factor AVascular Endothelial Growth FactorsVEGFA protein, human

Identifiers

PMID12189553
PMCPMC2376148
OpenAlexW2076401820

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.