Evidence map›Paper›PMID 39199663›Full record

ArticleCancers2024

The Personalized Inherited Signature Predisposing to Non-Small-Cell Lung Cancer in Non-Smokers.

Viola Bianca Serio, Diletta Rosati, Debora Maffeo, Angela Rina, Marco Ghisalberti, Cristiana Bellan, Ottavia Spiga, Francesca Mari, Maria Palmieri, Elisa Frullanti

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

10 authors.

Viola Bianca SerioCancer Genomics & Systems Biology Laboratory, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-4566-6124
Diletta RosatiCancer Genomics & Systems Biology Laboratory, University of Siena, 53100 Siena, Italy.
Debora MaffeoCancer Genomics & Systems Biology Laboratory, University of Siena, 53100 Siena, Italy.ORCID 0009-0006-0549-4953
Angela RinaMed Biotech Hub and Competence Centre, Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0009-0009-6469-2564
Marco GhisalbertiThoracic Surgery Unit, Azienda Ospedaliera Universitaria Senese, 53100 Siena, Italy.ORCID 0000-0001-9424-7511
Cristiana BellanDepartment of Medical Biotechnology, Section of Pathology, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-6119-9007
Ottavia SpigaDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-0263-7107
Francesca MariMed Biotech Hub and Competence Centre, Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-1992-1654
Maria PalmieriCancer Genomics & Systems Biology Laboratory, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-3014-1552
Elisa FrullantiCancer Genomics & Systems Biology Laboratory, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-5634-031X

Funding

NextGenerationEU of PNRR "Piano Nazionale di Ripresa e Resilienza" Missione 4 Componente 2 - M4C2a - Project THE - Tuscany Health Ecosystem - SPOKE 6 CUP B63C22000680007
6 · The paper itself

Abstract

Lung cancer (LC) continues to be an important public health problem, being the most common form of cancer and a major cause of cancer deaths worldwide. Despite the great bulk of research to identify genetic susceptibility genes by genome-wide association studies, only few loci associated to nicotine dependence have been consistently replicated. Our previously published study in few phenotypically discordant sib-pairs identified a combination of germline truncating mutations in known cancer susceptibility genes in never-smoker early-onset LC patients, which does not present in their healthy sib. These results firstly demonstrated the presence of an oligogenic combination of disrupted cancer-predisposing genes in non-smokers patients, giving experimental support to a model of a "private genetic epidemiology". Here, we used a combination of whole-exome and RNA sequencing coupled with a discordant sib's model in a novel cohort of pairs of never-smokers early-onset LC patients and in their healthy sibs used as controls. We selected rare germline variants predicted as deleterious by CADD and SVM bioinformatics tools and absent in the healthy sib. Overall, we identified an average of 200 variants per patient, about 10 of which in cancer-predisposing genes. In most of them, RNA sequencing data reinforced the pathogenic role of the identified variants showing: (i) downregulation in LC tissue (indicating a "second hit" in tumor suppressor genes); (ii) upregulation in cancer tissue (likely oncogene); and (iii) downregulation in both normal and cancer tissue (indicating transcript instability). The combination of the two techniques demonstrates that each patient has an average of six (with a range from four to eight) private mutations with a functional effect in tumor-predisposing genes. The presence of a unique combination of disrupting events in the affected subjects may explain the absence of the familial clustering of non-small-cell lung cancer. In conclusion, these findings indicate that each patient has his/her own "predisposing signature" to cancer development and suggest the use of personalized therapeutic strategies in lung cancer.

Indexed as

germline variantslung cancer susceptibilitynext-generation sequencingoligogenic modelwhole-exome sequencing

Identifiers

PMID39199663
PMCPMC11352340

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.