Evidence map›Paper›PMID 31617002›Full record

ArticleEJNMMI research2019

PSMA expression level predicts differentiated thyroid cancer aggressiveness and patient outcome.

Martina Sollini, Luca di Tommaso, Margarita Kirienko, Chiara Piombo, Marco Erreni, Andrea Gerardo Lania, Paola Anna Erba, Lidija Antunovic, Arturo Chiti

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.7field-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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
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  4. Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
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  5. Potential application of [EJNMMI research · 2024
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  13. Advances in PET imaging of cancer.Nature reviews. Cancer · 2023
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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

9 authors at 2 institutions in 1 country.

Martina SolliniDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy. martina.sollini@cancercenter.humanitas.it.ORCID http://orcid.org/0000-0003-2214-6492
Luca di TommasoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Margarita KirienkoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Chiara PiomboDepartment of Pathology, Humanitas Clinical and Research Center - IRCCS, Rozzano, Italy.
Marco ErreniDepartment of Advanced Optical Microscopy, Humanitas Clinical and Research Center - IRCCS, Rozzano, Italy.
Andrea Gerardo LaniaDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Paola Anna ErbaRegional Center of Nuclear Medicine, University of Pisa, Pisa, Italy.
Lidija AntunovicDepartment of Nuclear Medicine, Humanitas Clinical and Research Center - IRCCS, Rozzano, Italy.
Arturo ChitiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Humanitas University · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate-specific membrane antigen (PSMA) is overexpressed on the endothelial cells of tumor neo-vessels of several solid malignancies, including differentiated thyroid cancer (DTC). We aimed to test the potential role of PSMA as a biomarker for DTC aggressiveness and outcome prediction. We retrospectively screened all patients who underwent thyroidectomy between 1 January 2010 and 31 December 2017 in our institution. Applying the inclusion (histological diagnosis of thyroid cancer and tissue availability) and exclusion criteria (no clinical or follow-up data or diagnosis of medullary thyroid cancer), a cohort of 59 patients was selected. The monoclonal mouse anti-human PSMA antibody was used to stain tissue sections. A 3-point scale was used to score PSMA positivity: 0-5% expression was considered as negative (score 0), 6-50% as moderately positive (score 1), and 51-100% as highly positive (score 2). A cumulative score (0-10%, 11-79%, and 80-100%) was also explored. Univariate and multivariate logistic regression analyses were performed to predict the presence of distant metastases, chosen as endpoint of aggressiveness. The area under the curve (AUC) was calculated. Cox models were built to predict patient outcome in terms of recurrence, iodine refractoriness, and status at last follow-up, which were calculated using the Kaplan-Meier failure function.

resultsAt immunostaining, 12, 25, and 22 patients had scores of 0, 1, and 2, respectively. According to the cumulative score, PSMA expression was ≤ 10% in 17 cases, 11-79% in 31 cases, and ≥ 80% in 11 cases. At multivariate analysis, age, sex, histotype, vascular invasion, T and N parameters, and PSMA positivity were significant predictors of distant metastases. The AUC was 0.92. Recurrence or progression occurred in 19/59 patients. Twelve patients developed radioiodine (RAI) refractoriness, after a median time of 17 months (range 2-32). One patient died of DTC; 46 of the 58 patients alive at last follow-up were disease free. Median DFS was 23 months (range 3-82). The final multivariate model to predict RAI refractoriness included as covariates the stage, high PSMA expression (≥ 80%), and the interaction between moderate PSMA expression (11-79%) and stage.

conclusionsPSMA, a marker of neovasculature formation expressed by DTC, contributes in the prediction of tumor aggressiveness and patient outcome.

Indexed as

BiomarkersDifferentiated thyroid cancerGlutamate carboxypeptidase IITheragnostic

Identifiers

PMID31617002
PMCPMC6794333
OpenAlexW2980584272

What OpenQuestion holds

Textmetadata
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.