Evidence map›Paper›PMID 29388012›Full record

ArticleVirchows Archiv : an international journal of pathology2018

Large sporadic thyroid medullary carcinomas: predictive factors for lymph node involvement.

Sébastien Aubert, Amandine Berdelou, Viviane Gnemmi, Hélène Behal, Robert Caiazzo, Michèle D'herbomez, Pascal Pigny, Jean Louis Wemeau, Bruno Carnaille, Florence Renaud and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2018. 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
2.3field-weighted citation impact, top 11% 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, 37 citations in OpenAlex.

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  18. [Extent of resection in intrathyroidal medullary thyroid cancer].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2020
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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

15 authors at 4 institutions in 1 country.

Sébastien AubertInstitut de Pathologie, Centre de Biologie Pathologie, CHRU de Lille, 59037, Lille, France. sebastien.aubert@chru-lille.fr.ORCID http://orcid.org/0000-0002-2913-012X
Amandine BerdelouService de Cancérologie endocrinienne, IGR, 94805, Villejuif, Paris, France.
Viviane GnemmiInstitut de Pathologie, Centre de Biologie Pathologie, CHRU de Lille, 59037, Lille, France.
Hélène BehalUnité de Biostatistiques - Pôle de Santé Publique, CHRU de Lille, 59037, Lille, France.
Robert CaiazzoFaculté de Médecine, Université de Lille, 59045, Lille, France.
Michèle D'herbomezInstitut de Biochimie, Centre de Biologie Pathologie Génétique, CHRU de Lille, 59037, Lille, France.
Pascal PignyFaculté de Médecine, Université de Lille, 59045, Lille, France.
Jean Louis WemeauFaculté de Médecine, Université de Lille, 59045, Lille, France.
Bruno CarnailleFaculté de Médecine, Université de Lille, 59045, Lille, France.
Florence RenaudInstitut de Pathologie, Centre de Biologie Pathologie, CHRU de Lille, 59037, Lille, France.
Brigitte BouchindhommeInstitut de Pathologie, Centre de Biologie Pathologie, CHRU de Lille, 59037, Lille, France.
Emmanuelle LeteurtreInstitut de Pathologie, Centre de Biologie Pathologie, CHRU de Lille, 59037, Lille, France.
Michael PerraisFaculté de Médecine, Université de Lille, 59045, Lille, France.
François PattouFaculté de Médecine, Université de Lille, 59045, Lille, France.
Christine Do CaoService d'Endocrinologie, Hôpital Huriez, CHRU de Lille, 59037, Lille, France.
Inserm · FRCentre Hospitalier Universitaire de Lille · FRUniversité de Lille · FRLaboratoire d'études sur les monothéismes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymph node involvement (LNI) is one of the most important prognostic factors for poor survival in medullary thyroid carcinoma (MTC). At diagnosis, LNI is found in over 50% of sporadic MTCs, and especially in large tumours. Cervical lymph node dissection is therefore mandatory during MTC surgery. However, some large tumours (responsible for high preoperative basal calcitonin levels) are found to lack LNI, and can be cured definitely. Preoperative detection of these particular tumours might spare patients from undergoing extensive cervical dissection. The objective of the present retrospective study of a series of large sporadic MTCs was to identify clinical, biological and pathological factors that were predictive of LNI. Consecutive cases of large, sporadic MTCs (measuring at least 1 cm in diameter) were retrieved and reviewed. The levels of several mature microRNAs (miRs) in paraffin-embedded samples were assessed using qPCR. Of the 54 MTCs, 26 had LNI and 28 were pN0. Relative to pN0 patients, patients with LNI had a significant higher preoperative basal calcitonin level (p = 0.0074) and a greater prevalence of infiltrative margins (p < 0.0001), lymphovascular invasion (p = 0.0004), extrathyroidal extension (p < 0.0001), a higher pT stage (p = 0.0003) and more abundant desmoplastic stroma (p = 0.0006). Tumour expression levels of miR-21 (p = 0.0008) and miR-183 (p = 0.0096) were higher in the LNI group. The abundance of desmoplastic stroma (p = 0.007) and the miR-21 expression level (p = 0.0026) were independent prognostic factors for LNI. The abundance of desmoplastic stroma and high levels of miR-21 expression were strong indicators of LNI, and may thus help the surgeon to choose the extent of cervical lymph node dissection for large, sporadic MTCs with no preoperatively obvious LNI.

Indexed as

AdultAgedCarcinoma, MedullaryCarcinoma, NeuroendocrineFemaleHumansLymphatic MetastasisLymph Node ExcisionLymph NodesMaleMiddle AgedRetrospective StudiesThyroid GlandThyroid NeoplasmsCarcinomaDesmoplasiaMedullaryMicroRNANodeThyroid

Identifiers

PMID29388012
OpenAlexW2786135476

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.