Evidence map›Paper›PMID 18985036›Full record

ArticleBritish journal of cancer2008

Human thyroid tumours, the puzzling lessons from E7 and RET/PTC3 transgenic mice.

L Jin, A Burniat, J-E Dumont, F Miot, B Corvilain, B Franc

Erratum issuedAbstract 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. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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.

  1. Cells · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Modeling thyroid cancer in the mouse.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2009
    Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

6 authors.

L JinInstitut de Recherche Interdisciplinaire (IRIBHM), Faculté de Médecine, Université Libre de Bruxelles (ULB), Campus Erasme, Route de Lennik 808, B 1070 Bruxelles, Belgique. lingjin@ulb.ac.be
A Burniat
J-E Dumont
F Miot
B Corvilain
B Franc

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human rearranged RET/PTC3 (papillary thyroid carcinoma) proto-oncogene and high-risk human papillomavirus (HPV) type 16 E7 oncogene induces in the mouse a neoplastic transformation of thyroid follicular cells. We present a detailed immuno-histological study (170 mouse thyroids: RET/PTC3, E7, wild type, 2- to 10-month-old) with cell cycle proliferation and signalling pathway indicators. The characteristics of both models are different. There is an 'oncogene dependent' cellular signature, maintained at all studied ages in the E7 model, less in the RET/PTC3 model. During tumour development a large heterogeneity occurred in the Tg-RET/PTC3 model within a same tumour or within a same thyroid lobe. The Tg-E7 model was less heterogeneous, with a dominant goitrous pattern. The solid tumour already described in the RET/PTC3 models associated with cribriform patterns, suggested 'PTC spindle cell changes' as in humans PTC rather than the equivalent of the solid human PTC. Proliferation and apoptosis in the two thyroid models are related to the causal oncogene rather than reflect a general tumorigenic process. The thyroids of RET/PTC3 mice appeared as a partial and transient model of human PTCs, whereas the Tg-E7 mice do not belong to the usual PTC type.

Indexed as

Disease Models, AnimalAdenocarcinoma, PapillaryAnimalsCell CycleCell ProliferationGene ExpressionGene Expression ProfilingHumansImmunohistochemistryMiceMice, TransgenicPapillomavirus E7 ProteinsProto-Oncogene MasProto-Oncogene Proteins c-retSignal TransductionThyroid NeoplasmsMAS1 protein, humanPapillomavirus E7 ProteinsProto-Oncogene MasProto-Oncogene Proteins c-ret

Identifiers

PMID18985036
PMCPMC2600679

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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.