Evidence map›Paper›PMID 29522282›Full record

ArticleCancer medicine2018

Development and validation of an individualized diagnostic signature in thyroid cancer.

Li-Ou Han, Xin-Yu Li, Ming-Ming Cao, Yan Cao, Li-Hong Zhou

Abstract read
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Article
  8. The Architecture of a Precision Oncology Platform.Advances in experimental medicine and biology · 2022
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  9. From bulk, single-cell to spatial RNA sequencing.International journal of oral science · 2021
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  14. High incidence ofTherapeutic advances in medical oncology · 2020
    Article
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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.

Li-Ou HanDepartment of Thyroid Surgery, the First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Xin-Yu LiDepartment of Endocrinology, the First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Ming-Ming CaoDepartment of Endocrinology, the First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Yan CaoDepartment of Endocrinology, the First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Li-Hong ZhouDepartment of Endocrinology, the First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.ORCID 0000-0003-3374-5861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New molecular signatures are needed to improve the diagnosis of thyroid cancer (TC) and avoid unnecessary surgeries. In this study, we aimed to develop a robust and individualized diagnostic signature in TC. Gene expression profiles of tumor and nontumor samples were from 13 microarray datasets of Gene Expression Omnibus (GEO) database and one RNA-sequencing dataset of The Cancer Genome Atlas (TCGA). A total of 1246 samples were divided into a training set (N = 435), a test set (N = 247), and one independent validation set (N = 564). In the training set, 115 most frequent differentially expressed genes (DEGs) among the included datasets were used to construct 6555 gene pairs, and 19 significant pairs were detected to further construct the diagnostic signature by a penalized generalized linear model. The signature showed a good diagnostic ability for TC in the training set (area under receiver operating characteristic curve (AUC) = 0.976), test set (AUC = 0.960), and TCGA dataset (AUC = 0.979). Subgroup analyses showed consistent results when considering the type of nontumor samples and microarray platforms. When compared with two existing molecular signatures in the diagnosis of thyroid nodules, the signature (AUC = 0.933) also showed a higher diagnostic ability (AUC = 0.886 for a 7-gene signature and AUC = 0.892 for a 10-gene signature). In conclusion, our study developed and validated an individualized diagnostic signature in TC. Large-scale prospective studies were needed to further validate its diagnostic ability.

Indexed as

Biomarkers, TumorPrecision MedicineComputational BiologyDatabases, GeneticGene Expression ProfilingHumansReproducibility of ResultsROC CurveThyroid NeoplasmsTranscriptomeBiomarkers, TumorDiagnosticindividualizedsignaturethyroid cancer

Identifiers

PMID29522282
PMCPMC5911625

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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.