Evidence map›Paper›PMID 31532708›Full record

ArticleJournal of global oncology2019

Analysis of Predictive Biomarkers in Patients With Lung Adenocarcinoma From Southern Brazil Reveals a Distinct Profile From Other Regions of the Country.

Tiago F Andreis, Bruno S Correa, Fernanda S Vianna, Fernanda De-Paris, Marina Siebert, Sandra Leistner-Segal, Eriza C Hahn, Jane M Ulbrich, Luis F R Rivero, Francine H De Oliveira and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of global oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Concomitant TP53 mutation in early-stage resected EGFR-mutated non-small cell lung cancer: a narrative approach in a genetically admixed Brazilian cohort.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
    Article
  6. Article
  7. Article
  8. Frequency ofJCO global oncology · 2021
    Article
  9. Article
  10. Simultaneous analysis ofTranslational lung cancer research · 2021
    Article
  11. Prevalence of the BrazilianFrontiers in genetics · 2021
    Article
  12. Testing forOncoTargets and therapy · 2021
    Review
  13. Article
  14. Article
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

13 authors at 3 institutions in 1 country.

Tiago F AndreisUniversidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Bruno S CorreaHospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Fernanda S ViannaUniversidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Fernanda De-ParisHospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Marina SiebertHospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Sandra Leistner-SegalHospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Eriza C HahnUniversidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Jane M UlbrichHospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Luis F R RiveroHospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Francine H De OliveiraHospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Vinícius LorandiHospital Mãe de Deus, Porto Alegre, Brazil.
Patricia Ashton-ProllaUniversidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Gabriel S MacedoHospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Hospital de Clínicas de Porto Alegre · BRUniversidade Federal do Rio Grande do Sul · BRHospital Mãe de Deus · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAdenocarcinoma is the most common histologic subtype of non-small-cell lung cancer, representing 40% of all diagnoses. Several biomarkers are currently used to determine patient eligibility for targeted treatments, including analysis of molecular alterations in MATERIALS AND

methodsThe goal of this study was to investigate the frequency of somatic mutations in the

resultsAnalysis of 619 tumors identified

conclusionTo our knowledge, this is the first study investigating the molecular epidemiology of patients with LUAD from southern Brazil and the largest assessing the frequency of multiple predictive biomarkers for this tumor in the country. The study also reveals a distinct mutation profile compared with data originating from other regions of Brazil.

Indexed as

AdenocarcinomaBiomarkersBrazilHumansLung NeoplasmsRetrospective StudiesBiomarkers

Identifiers

PMID31532708
PMCPMC6872182
OpenAlexW2974009027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.