Evidence map›Paper›PMID 21735353›Full record

ArticleJournal of cancer research and clinical oncology2011

Validation of cofilin-1 as a biomarker in non-small cell lung cancer: application of quantitative method in a retrospective cohort.

Carolina B Müller, Rafael L S de Barros, Mauro A A Castro, Fernanda M Lopes, Rosalva T Meurer, Adriana Roehe, Guilherme Mazzini, Jane Maria Ulbrich-Kulczynski, Felipe Dal-Pizzol, Marilda C Fernandes and 3 more

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of cancer research and clinical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.9field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  4. Discovery of Two Novel Immunoepitopes and Development of a Peptide-based Sarcoidosis Immunoassay.American journal of respiratory and critical care medicine · 2024
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  9. Study ofJournal of gastrointestinal oncology · 2018
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  11. Cofilin-2 Acts as a Marker for Predicting Radiotherapy Response and Is a Potential Therapeutic Target in Nasopharyngeal Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  12. Article
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  16. High cofilin-1 levels correlate with cisplatin resistance in lung adenocarcinomas.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
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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

13 authors at 6 institutions in 1 country.

Carolina B MüllerDepartment of Biochemistry, ICBS/Federal University of Rio Grande do Sul (UFRGS), 2600 Ramiro Barcelos St., Porto Alegre, 90035-003, Brazil.
Rafael L S de Barros
Mauro A A Castro
Fernanda M Lopes
Rosalva T Meurer
Adriana Roehe
Guilherme Mazzini
Jane Maria Ulbrich-Kulczynski
Felipe Dal-Pizzol
Marilda C Fernandes
José C F Moreira
Léder L Xavier
Fábio Klamt
Universidade Federal do Rio Grande do Sul · BRHospital de Clínicas de Porto Alegre · BRNational Institute on Population Medical Genetics · BRPontifícia Universidade Católica do Rio Grande do Sul · BRUniversidade do Extremo Sul Catarinense · BRUniversidade Federal de Ciências da Saúde de Porto Alegre · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCofilin is a cytoskeletal protein whose overexpression has been associated with aggressiveness in several types of malignancies. Here, we established and optimized a simple semi-quantitative immunohistochemistry (SQ-IHC) method for cofilin quantification in tumor biopsies, and applied it in a retrospective cohort of NSCLC patients aiming at validating the use of cofilin-1 as a prognostic biomarker.

methodsThe SQ-IHC method for cofilin-1 quantification was established and applied in a NSCLC cohort. An archival collection of biopsies from 50 patients with clinicopathological information and 5 years follow-up was accessed. Association between cofilin-1 immunocontent and clinical outcome was assessed using standard Kaplan-Meier mortality curves and the log-rank test. To evaluate the robustness of our findings, three different partitional clustering strategies were used to stratify patients into two groups according to the biomarker expression level (hierarchical clustering, Kmeans and median cutoff).

resultsIn all the three different partitional clustering we used, survival analysis showed that patient with high cofilin-1 immunocontent had a lower overall survival rate (P < 0.05), and could be used to discriminate between good and bad prognosis. No other correlation was found when the variables age, sex or histological type were tested in association with patients outcome or with cofilin immunocontent.

conclusionsOur method showed good sensitivity/specificity to indicate the outcome of patients according to their cofilin immunocontent in biological samples. Its application in a retrospective cohort and the results presented here are an important step toward the validation process of cofilin-1 as a prognostic biomarker.

Indexed as

AgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCofilin 1Cohort StudiesEvaluation Studies as TopicFemaleFollow-Up StudiesHumansImmunohistochemistryLung NeoplasmsMaleMiddle AgedPrognosisRetrospective StudiesSensitivity and SpecificityBiomarkers, TumorCFL1 protein, humanCofilin 1

Identifiers

PMID21735353
PMCPMC11828135
OpenAlexW1999749157

What OpenQuestion holds

Textmetadata
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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.