Evidence map›Paper›PMID 32575424›Full record

ArticleCancers2020

Molecular and Genomic Profiling of Lung Cancer in the Era of Precision Medicine: A Position Paper from the Italian Association of Thoracic Oncology (AIOT).

Nicola Normanno, Massimo Barberis, Filippo De Marinis, Cesare Gridelli, On The Behalf Of The Aiot Expert Panel

Open access · goldAbstract read
In one paragraph

Article in Cancers, 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
1.4field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Nicola NormannoCell Biology and Biotherapy Unit, Istituto Nazionale Tumori, "Fondazione G. Pascale"-IRCCS, 80131 Napoli, Italy.
Massimo BarberisDepartment of Pathology, European Institute of Oncology, 20141 Milan, Italy.ORCID 0000-0002-0943-4804
Filippo De MarinisDivision of Thoracic Oncology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.ORCID 0000-0002-1118-5536
Cesare GridelliDivision of Medical Oncology, "S. G. Moscati" Hospital, 83100 Avellino, Italy.
On The Behalf Of The Aiot Expert Panel
European Institute of Oncology · ITAzienda Ospedaliera S.Giuseppe Moscati · ITIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · IT

Funding

Bristol-Myers Squibb not availableRoche not available
6 · The paper itself

Abstract

The identification of the optimal cancer treatment has become progressively more intricate for non-small-cell lung cancer (NSCLC) patients due to the multitude of options available. The testing of biomarkers to predict clinical responses to therapies is pivotal to stratify the patients based on the molecular features of their tumors. The number of actionable genetic alterations to be tested is increasing together with the comprehension of the molecular mechanisms underlying tumor growth and development. The possibility of using next generation sequencing-based approaches enhanced the acquisition of genetic data with potential clinical usefulness, and favored the integration of precision medicine in clinical practice. The availability of targeted sequencing panels that cover genetic alterations in hundreds of genes allows the performance of a comprehensive genomic profiling (CGP) of lung tumors. However, different issues still need to be solved, from the tissue needed for next generation sequencing analysis, to the choice of the test and its interpretation in the clinical context. This position paper from the Italian Association of Thoracic Oncology (AIOT) summarizes the results of a discussion from a Precision Medicine Panel meeting on the challenges to bringing CGP and, therefore, precision medicine into the daily clinical practice.

Indexed as

biomarkersclinical practicecomprehensive genomic profilingnon-small-cell lung cancerprecision medicine

Identifiers

PMID32575424
PMCPMC7352587
OpenAlexW3035877426

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.