Evidence map›Paper›PMID 33030666›Full record

ArticleEndocrine2021

Combined molecular and mathematical analysis of long noncoding RNAs expression in fine needle aspiration biopsies as novel tool for early diagnosis of thyroid cancer.

C Possieri, P Locantore, C Salis, L Bacci, A Aiello, G Fadda, C De Crea, M Raffaelli, R Bellantone, C Grassi and 4 more

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 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  11. lncRNA PVT1: a novel oncogene in multiple cancers.Cellular & molecular biology letters · 2022
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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

14 authors at 5 institutions in 1 country.

C PossieriCNR-IASI, Rome, Italy.
P LocantoreFondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy.
C SalisUniversità Cattolica del Sacro Cuore, Rome, Italy.
L BacciUniversità Cattolica del Sacro Cuore, Rome, Italy.
A AielloCNR-IASI, Rome, Italy.
G FaddaFondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy.
C De CreaFondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy.
M RaffaelliFondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy.
R BellantoneFondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy.
C GrassiFondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy.
L StrigariPoliclinico S. Orsola, Bologna, Italy.
A FarsettiCNR-IASI, Rome, Italy. antonella.farsetti@cnr.it.
A Pontecorvi *Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy.
S Nanni *Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy. simona.nanni@unicatt.it.
Istituti di Ricovero e Cura a Carattere Scientifico · ITAgostino Gemelli University Polyclinic · ITIstituto di Analisi dei Sistemi ed Informatica Antonio Ruberti · ITUniversità Cattolica del Sacro Cuore · ITPoliclinico S.Orsola-Malpighi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn presence of indeterminate lesions by fine needle aspiration (FNA), thyroid cancer cannot always be easily diagnosed by conventional cytology. As a consequence, unnecessary removal of thyroid gland is performed in patients without cancer based on the lack of optimized diagnostic criteria. Aim of this study is identifying a molecular profile based on long noncoding RNAs (lncRNAs) expression capable to discriminate between benign and malignant nodules.

methodsPatients were subjected to surgery (n = 19) for cytologic suspicious thyroid nodules or to FNA biopsy (n = 135) for thyroid nodules suspicious at ultrasound. Three thyroid-specific genes (TG, TPO, and NIS), six cancer-associated lncRNAs (MALAT1, NEAT1, HOTAIR, H19, PVT1, MEG3), and two housekeeping genes (GAPDH and P0) were analyzed using Droplet Digital PCR (ddPCR).

resultsBased on higher co-expression in malignant (n = 11) but not in benign (n = 8) nodules after surgery, MALAT1, PVT1 and HOTAIR were selected as putative cancer biomarkers to analyze 135 FNA samples. Cytological and histopathological data from a subset of FNA patients (n = 34) were used to define a predictive algorithm based on a Naïve Bayes classifier using co-expression of MALAT1, PVT1, HOTAIR, and cytological class. This classifier exhibited a significant separation capability between malignant and benign nodules (P < 0.0001) as well as both rule in and rule out test potential with an accuracy of 94.12% and a negative predictive value (NPV) of 100% and a positive predictive value (PPV) of 91.67%.

conclusionsddPCR analysis of selected lncRNAs in FNA biopsies appears a suitable molecular tool with the potential of improving diagnostic accuracy.

Indexed as

RNA, Long NoncodingThyroid NeoplasmsThyroid NoduleBayes TheoremBiopsy, Fine-NeedleEarly Detection of CancerHumansSensitivity and SpecificityRNA, Long NoncodingCancer biomarkersddPCRDiagnosisFNAsNaive BayesThyroid cancer

Identifiers

PMID33030666
PMCPMC8159833
OpenAlexW3092511688

What OpenQuestion holds

Textmetadata
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.