Evidence map›Paper›PMID 35884472›Full record

ArticleCancers2022

A Circulating Risk Score, Based on Combined Expression of Exo-miR-130a-3p and Fibrinopeptide A, as Predictive Biomarker of Relapse in Resectable Non-Small Cell Lung Cancer Patients.

Silvia Marconi, Michela Croce, Giovanna Chiorino, Giovanni Rossi, Francesca Guana, Aldo Profumo, Paola Ostano, Angela Alama, Luca Longo, Giuseppa De Luca and 16 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. EML4-ALK fusion rewires transcriptomic, miRNA, and CAF-associated programs in non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

26 authors at 4 institutions in 1 country.

Silvia MarconiLung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0002-6742-1032
Michela CroceBiotherapies Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0003-4683-4951
Giovanna ChiorinoLaboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, 13900 Biella, Italy.ORCID 0000-0002-9502-6400
Giovanni RossiLung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
Francesca GuanaLaboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, 13900 Biella, Italy.
Aldo ProfumoProteomics and Mass Spectrometry Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0002-3713-3021
Paola OstanoLaboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, 13900 Biella, Italy.
Angela AlamaLung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0002-9726-201X
Luca LongoLung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
Giuseppa De LucaMolecular Diagnostic Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0003-4877-1309
Mariella DonoMolecular Diagnostic Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0003-1280-0278
Maria Giovanna Dal BelloLung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0002-4952-1873
Marco PonassiProteomics and Mass Spectrometry Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
Camillo RosanoProteomics and Mass Spectrometry Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0003-2949-9215
Paolo RomanoProteomics and Mass Spectrometry Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0003-4694-3883
Zita CavalieriLung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
Massimiliano GrassiMedical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0002-4647-3626
Marco TagliamentoDepartment of Internal Medicine and Medical Specialties, University of Genova, 16132 Genova, Italy.ORCID 0000-0001-7461-023X
Lodovica ZulloLung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0002-1659-788X
Consuelo VenturiPathology Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
Chiara DellepianeLung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0001-7836-0338
Luca MastracciPathology Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0003-0193-5281
Elisa BennicelliLung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
Paolo PronzatoMedical Oncology 2 Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
Carlo GenovaDepartment of Internal Medicine and Medical Specialties, University of Genova, 16132 Genova, Italy.
Simona CocoLung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0002-5296-4325
Ospedale Policlinico San Martino · ITFondazione Edo ed Elvo Tempia · ITUniversity of Genoa · ITUniversity of Sassari · IT

Funding

Compagnia di San Paolo 2017-0529Italian Ministry of Health Ricerca Corrente 2022, RRC 2022; 5X1000 funds: 2011, 2016, 2018-2019; CO-2016-02361470
6 · The paper itself

Abstract

To date, the 5-year overall survival rate of 60% for early-stage non-small cell lung cancer (NSCLC) is still unsatisfactory. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on an interconnection between cancer cells and the surrounding tumor microenvironment; hence, circulating molecules may represent promising markers of cancer recurrence. In order to identify a prognostic score, we performed in-depth high-throughput analyses of plasma circulating markers, including exosomal microRNAs (Exo-miR) and peptides, in 67 radically resected NSCLCs. The miRnome profile selected the Exo-miR-130a-3p as the most overexpressed in relapsed patients. Peptidome analysis identified four progressively more degraded forms of fibrinopeptide A (FpA), which were depleted in progressing patients. Notably, stepwise Cox regression analysis selected Exo-miR-130a-3p and the greatest FpA (2-16) to build a score predictive of recurrence, where high-risk patients had 18 months of median disease-free survival. Moreover, in vitro transfections showed that higher levels of miR-130a-3p lead to a deregulation of pathways involved in metastasis and angiogenesis, including the coagulation process and metalloprotease increase which might be linked to FpA reduction. In conclusion, by integrating circulating markers, the identified risk score may help clinicians predict early-stage NSCLC patients who are more likely to relapse after primary surgery.

Indexed as

disease recurrenceearly-stage non-small cell lung cancer (NSCLC)exosome-miRNAfibrinopeptide Aliquid biopsymiR-130a-3ppeptidomeprognostic signaturerisk score

Identifiers

PMID35884472
PMCPMC9317031
OpenAlexW4285390633

What Socratic 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 Socratic graph.