Evidence map›Paper›PMID 34268116›Full record

ArticleFrontiers in oncology2021

Radiogenomic Analysis of Papillary Thyroid Carcinoma for Prediction of Cervical Lymph Node Metastasis: A Preliminary Study.

Yuyang Tong, Peixuan Sun, Juanjuan Yong, Hongbo Zhang, Yunxia Huang, Yi Guo, Jinhua Yu, Shichong Zhou, Yulong Wang, Yu Wang and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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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 7 institutions in 3 countries.

Yuyang TongDepartment of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, China.
Peixuan SunDiagnostic Imaging Center, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Juanjuan YongDepartment of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Hongbo ZhangPharmaceutical Sciences Laboratory, Åbo Akademi University, Turku, Finland.
Yunxia HuangDepartment of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, China.
Yi GuoDepartment of Electronic Engineering, Fudan University and Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, Shanghai, China.
Jinhua YuDepartment of Electronic Engineering, Fudan University and Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, Shanghai, China.
Shichong ZhouDepartment of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, China.
Yulong WangDepartment of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yu WangDepartment of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Qinghai JiDepartment of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yuanyuan WangDepartment of Electronic Engineering, Fudan University and Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, Shanghai, China.
Cai ChangDepartment of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University · CNFudan University Shanghai Cancer Center · CNShanghai Children's Medical Center · CNShanghai Medical College of Fudan University · CNSun Yat-sen University · CNThe Ohio State University · USUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPapillary thyroid carcinoma (PTC) is characterized by frequent metastases to cervical lymph nodes (CLNs), and the presence of lymph node metastasis at diagnosis has a significant impact on the surgical approach. Therefore, we established a radiomic signature to predict the CLN status of PTC patients using preoperative thyroid ultrasound, and investigated the association between the radiomic features and underlying molecular characteristics of PTC tumors.

methodsIn total, 270 patients were enrolled in this prospective study, and radiomic features were extracted according to multiple guidelines. A radiomic signature was built with selected features in the training cohort and validated in the validation cohort. The total protein extracted from tumor samples was analyzed with LC/MS and iTRAQ technology. Gene modules acquired by clustering were chosen for their diagnostic significance. A radiogenomic map linking radiomic features to gene modules was constructed with the Spearman correlation matrix. Genes in modules related to metastasis were extracted for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, and a protein-protein interaction (PPI) network was built to identify the hub genes in the modules. Finally, the screened hub genes were validated by immunohistochemistry analysis.

resultsThe radiomic signature showed good performance for predicting CLN status in training and validation cohorts, with area under curve of 0.873 and 0.831 respectively. A radiogenomic map was created with nine significant correlations between radiomic features and gene modules, and two of them had higher correlation coefficient. Among these, MEmeganta representing the upregulation of telomere maintenance

conclusionsThe radiomic signature proposed here has the potential to noninvasively predict the CLN status in PTC patients. Merging imaging phenotypes with genomic data could allow noninvasive identification of the molecular properties of PTC tumors, which might support clinical decision making and personalized management.

Indexed as

cervical lymph node metastasispapillary thyroid carcinomaradiogenomicradiomicsultrasound

Identifiers

PMID34268116
PMCPMC8276635
OpenAlexW3178819185

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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.