Evidence map›Paper›PMID 32528971›Full record

ArticleFrontiers in molecular biosciences2020

miR375-3p Distinguishes Low-Grade Neuroendocrine From Non-neuroendocrine Lung Tumors in FFPE Samples.

Simone Detassis, Valerio Del Vescovo, Margherita Grasso, Stefania Masella, Chiara Cantaloni, Luca Cima, Alberto Cavazza, Paolo Graziano, Giulio Rossi, Mattia Barbareschi and 2 more

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

12 authors.

Simone DetassisDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Valerio Del VescovoDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Margherita GrassoDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Stefania MasellaDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Chiara CantaloniDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Luca CimaDivision of Anatomical Pathology, Santa Chiara Hospital, Trento, Italy.
Alberto CavazzaUnit of Surgical Pathology, AUSL/IRCCS, Reggio Emilia, Italy.
Paolo GrazianoUnit of Pathologic Anatomy, Forlanini Hospital, Rome, Italy.
Giulio RossiOperative Unit of Pathological Anatomy, Azienda USL della Romagna, Hospital Santa Maria delle Croci, Ravenna, Italy.
Mattia BarbareschiDivision of Anatomical Pathology, Santa Chiara Hospital, Trento, Italy.
Leonardo RicciDepartment of Physics, University of Trento, Trento, Italy.
Michela Alessandra DentiDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is still one of the leading cause of death worldwide. The clinical variability of lung cancer is high and drives treatment decision. In this context, correct discrimination of pulmonary neuroendocrine tumors is still of critical relevance. The spectrum of neuroendocrine tumors is various, and each type has molecular and phenotypical differences. In order to advance in the discrimination of neuroendocrine from non-neuroendocrine lung tumors, we tested a series of 95 surgically resected and formalin-fixed paraffin embedded lung cancer tissues, and we analyzed the expression of miR205-5p and miR375-3p via TaqMan RT-qPCR. Via a robust mathematical approach, we excluded technical outliers increasing the data reproducibility. We found that miR375-3p levels are higher in low-grade neuroendocrine lung tumor samples compared to non-neuroendocrine lung tumors. However, miR375-3p is not able to distinguish among different types of neuroendocrine lung tumors. In this work, we provide a new molecular marker for distinguishing non-neuroendocrine from low-grade neuroendocrine lung tumors samples establishing an easy miRNA score to be used in clinical settings, enabling the pathologist to classify more accurately lung tumors biopsies, which may be ambiguously cataloged in routine examination.

Indexed as

biomarkerlung cancermicroRNAmiR-375neuroendocrine

Identifiers

PMID32528971
PMCPMC7263060

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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.