Evidence map›Paper›PMID 31341411›Full record

ReviewInternational journal of medical sciences2019

Molecular heterogeneity in lung cancer: from mechanisms of origin to clinical implications.

Federica Zito Marino, Roberto Bianco, Marina Accardo, Andrea Ronchi, Immacolata Cozzolino, Floriana Morgillo, Giulio Rossi, Renato Franco

Abstract readReview
In one paragraph

Review in International journal of medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 4 pooled it
–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

113 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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53 more citing papers are in PubMed but not listed here.

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

8 authors.

Federica Zito MarinoPathology Unit, University of Campania "L. Vanvitelli", Naples, Italy.
Roberto BiancoDepartment of Clinical Medicine and Surgery, Oncology Division, University of Naples Federico II, Naples, Italy.
Marina AccardoPathology Unit, University of Campania "L. Vanvitelli", Naples, Italy.
Andrea RonchiPathology Unit, University of Campania "L. Vanvitelli", Naples, Italy.
Immacolata CozzolinoPathology Unit, University of Campania "L. Vanvitelli", Naples, Italy.
Floriana MorgilloMedical Oncology, Department of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Giulio RossiPathology Unit, Hospital S. Maria delle Croci, Azienda Romagna, Ravenna, Italy.
Renato FrancoPathology Unit, University of Campania "L. Vanvitelli", Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular heterogeneity is a frequent event in cancer responsible of several critical issues in diagnosis and treatment of oncologic patients. Lung tumours are characterized by high degree of molecular heterogeneity associated to different mechanisms of origin including genetic, epigenetic and non-genetic source. In this review, we provide an overview of recognized mechanisms underlying molecular heterogeneity in lung cancer, including epigenetic mechanisms, mutant allele specific imbalance, genomic instability, chromosomal aberrations, tumor mutational burden, somatic mutations. We focus on the role of spatial and temporal molecular heterogeneity involved in therapeutic implications in lung cancer patients.

Indexed as

Biomarkers, TumorChromosome AberrationsDNA Copy Number VariationsEpigenesis, GeneticGenetic HeterogeneityGenetic Predisposition to DiseaseGenomic InstabilityHumansLung NeoplasmsMutationPrecision MedicineBiomarkers, Tumordriver mutationslung cancermolecular heterogeneitytherapy

Identifiers

PMID31341411
PMCPMC6643125

What OpenQuestion holds

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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.