Evidence map›Paper›PMID 32915437›Full record

ArticleEndocrine2021

Using The Cancer Genome Atlas data to refine the 8th edition of the American Joint Committee on Cancer staging for papillary thyroid carcinoma.

Anello Marcello Poma, Elisabetta Macerola, Liborio Torregrossa, Rossella Elisei, Ferruccio Santini, Fulvio Basolo

Open access · hybridAbstract read
In one paragraph

Article in Endocrine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Advances in Detecting Low Prevalence SomaticFrontiers in endocrinology · 2021
    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

6 authors at 2 institutions in 1 country.

Anello Marcello PomaDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Via Savi 10, 56126, Pisa, Italy.
Elisabetta MacerolaDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Via Savi 10, 56126, Pisa, Italy.
Liborio TorregrossaDepartment of Laboratory Medicine, Section of Pathology, University Hospital of Pisa, Via Roma 57, 56126, Pisa, Italy.
Rossella EliseiDepartment of Clinical and Experimental Medicine, Unit of Endocrinology, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Ferruccio SantiniDepartment of Clinical and Experimental Medicine, Unit of Endocrinology, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Fulvio BasoloDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Via Savi 10, 56126, Pisa, Italy. fulvio.basolo@med.unipi.it.
University of Pisa · ITAzienda Ospedaliera Universitaria Pisana · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe 8th edition of the American Joint Committee on Cancer (AJCC) staging led to a significant downstaging of well differentiated thyroid cancer patients. However, some patients who had been downstaged still experienced death. By using data from the thyroid cancer dataset of The Cancer Genome Atlas (TCGA), we aimed to find molecular features that could improve survival prediction.

methodsTCGA data were downloaded from cBioPortal. Restaging of cases was performed according to the pathological reports.

resultsOut of 496 cases, 204 (41.1%) were downstaged, and the proportion of deaths increased in stages III and IV. TERT promoter mutations were no longer enriched in stage IV only, but significantly redistributed also in stages II and III. TERT mutation was the only alteration predictive of poor survival; however, in this series it was not independent from the AJCC staging. Five proteins (4E-BP1_pT70, Chk1_pS345, Snail, STAT5 alpha and PAI-1) were significantly associated with survival, and their use as a panel refined the risk stratification independently from the AJCC staging, with a hazard ratio for a positive result of 21.2 (95%CI 3.7-122.2, P = 0.0006).

conclusionsIn the TCGA series, the proportion of deaths is in line with the expected survival of the latest AJCC staging, with a neat separation of risk among stages. Nevertheless, the use of protein expression can be useful in refining the stratification. Finally, after the restaging, a considerable number of tumors with TERT mutations will be allocated in lower stages; hence, dedicated studies should define the prognostic usefulness of these mutations in low-stage diseases.

Indexed as

Thyroid NeoplasmsHumansNeoplasm StagingPrognosisProportional Hazards ModelsRetrospective StudiesThyroid Cancer, PapillaryUnited StatesAJCC stagingOutcomePapillary Thyroid CarcinomaPrognosisPTCTCGA data

Identifiers

PMID32915437
PMCPMC8087602
OpenAlexW3084970498

What OpenQuestion holds

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LicenceCC BY
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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.