Evidence map›Paper›PMID 18349847›Full record

ArticleBritish journal of cancer2008

Gene expression reveals two distinct groups of anal carcinomas with clinical implications.

O Bruland, O Fluge, H Immervoll, L Balteskard, Mp Myklebust, A Skarstein, O Dahl

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. The effect of dose escalation for large squamous cell carcinomas of the anal canal.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Targeting the RB-pathway in cancer therapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2010
    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

7 authors at 3 institutions in 1 country.

O BrulandCenter of Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen 5021, Norway. ove.bruland@helse-bergen.no
O Fluge
H Immervoll
L Balteskard
Mp Myklebust
A Skarstein
O Dahl
Haukeland University Hospital · NOUniversity of Bergen · NOUniversity Hospital of North Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human papillomavirus (HPV) is a major aetiological agent in anal carcinomas. We here present a study of global gene expression using microarray hybridisation in a collection of anal carcinoma biopsies. Quantitative PCR was used to verify expression of selected genes. All biopsies contained integrated DNA of human papillomavirus subtype 16 (HPV16) and expressed HPV16 E7 mRNA. No other subspecies of HPV were detected in these 13 biopsies as assessed by PCR amplification and DNA sequencing. Unsupervised cluster analysis, based on global mRNA expression, divided the tumour biopsies into two distinct groups. Cluster analysis based on a number of high-risk HPV and/or E2F-regulated genes reproduced this biopsy grouping, suggesting that integrated HPV16 substantially influenced global gene expression in approximately half the biopsies studied. The levels of HPV16 E7 mRNA were significantly different between the two groups, but with considerable overlap. Thus, influence on global gene expression could not be absolutely ascribed to the expression level of HPV16. To investigate whether this distinction in gene expression had prognostic impact, we studied protein expression in an independent cohort of 55 anal carcinomas not included in the microarray study of two differentially expressed candidate genes, minichromosome maintenance complex component 7 (MCM7) and cyclin-dependent kinase inhibitor 2A (CDKN2A or p16). HPV status was assessed by in situ hybridisation. There was a significant association between in situ staining for HPV E7 mRNA and immunostaining for CDKN2A (p16) and MCM7 protein. CDKN2A (p16) mRNA was found significantly differentially expressed between the two tumour groups. However, cluster analysis on genes directly regulated by CDKN2A (p16) could not reproduce this split of biopsies into two groups, suggesting that the transcriptional regulatory activity of CDKN2A in these biopsies is inhibited. Furthermore, protein expression of CDKN2A (p16) could not be associated with survival. MCM7 is directly regulated by E2F and induced by HPV, and its mRNA was found differentially expressed between the two tumour groups. High level of MCM7 protein was found to be associated with both improved relapse-free survival (RFS, P=0.02) and cancer-specific survival (CSS, P=0.03) in anal cancer patients treated with radiation with or without additional chemotherapy.

Indexed as

Anus NeoplasmsCell Cycle ProteinsDNA-Binding ProteinsGene ExpressionGenes, p16Human papillomavirus 16HumansIn Situ HybridizationMinichromosome Maintenance Complex Component 7Nuclear ProteinsOligonucleotide Array Sequence AnalysisOncogene Proteins, ViralPapillomavirus E7 ProteinsProtein Array AnalysisRNA, MessengerViral LoadCell Cycle ProteinsDNA-Binding ProteinsMCM7 protein, humanMinichromosome Maintenance Complex Component 7Nuclear Proteinsoncogene protein E7, Human papillomavirus type 16Oncogene Proteins, ViralPapillomavirus E7 ProteinsRNA, Messenger

Identifiers

PMID18349847
PMCPMC2359638
OpenAlexW2061952505

What OpenQuestion holds

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LicenceCC BY
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.