Evidence map›Paper›PMID 29901149›Full record

ArticleOncology reports2018

Diagnostic value and lymph node metastasis prediction of a custom‑made panel (thyroline) in thyroid cancer.

Zunfu Ke, Yihao Liu, Yunjian Zhang, Jie Li, Ming Kuang, Sui Peng, Jinyu Liang, Shuang Yu, Lei Su, Lili Chen and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Clinical Implications and Application of Molecular Testing in the Diagnosis and Management of Thyroid Nodules in the Chinese Population.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Observational
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  7. [Research progress on the relationship between the Raf murine sarcoma viral oncogene homolog B gene mutation and lymph node metastasis of papillary thyroid carcinoma].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    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

15 authors at 2 institutions in 2 countries.

Zunfu KeDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Yihao LiuDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Yunjian ZhangDepartment of Breast and Thyroid Surgery, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Jie LiDepartment of Breast and Thyroid Surgery, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Ming KuangCancer Center, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Sui PengClinical Trial Unit, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Jinyu LiangDepartment of Ultrasound, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Shuang YuDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Lei SuDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Lili ChenDepartment of Pathology, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Cong SunDepartment of Pathology, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Bin LiClinical Trial Unit, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Jessica CaoFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.
Weiming LvDepartment of Breast and Thyroid Surgery, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Haipeng XiaoDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Sun Yat-sen University · CNUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiation of benign and malignant thyroid nodules is crucial for clinical management. Here, we explored the efficacy of next‑generation sequencing (NGS) in predicting the classification of benign and malignant thyroid nodules and lymph node metastasis status, and simultaneously compared the results with ultrasound (US). Thyroline was designed to detect 15 target gene mutations and 2 fusions in 98 formalin‑fixed, paraffin‑embedded (FFPE) tissues, including those from 82 thyroid cancer (TC) patients and 16 patients with benign nodules. BRAF mutations were found in 57.69% of the papillary thyroid cancer (PTC) cases, while RET mutations were detected among all the medullary thyroid cancer (MTC) cases. Multiple mutations were positive but none showed dominance in anaplastic thyroid cancer (ATC) and follicular thyroid cancer (FTC). The sensitivity and specificity of NGS prediction in differentiation of benign and malignant thyroid nodules were 79.27 and 93.75%, respectively, and the positive predictive value (PPV) and negative predictive value (NPV) were 98.48 and 46.88%, respectively. The sens-itivity and specificity of US were 76.83 and 6.25%, respectively, and the PPV and NPV were 80.77 and 5.00%, respectively. The area under curve (AUC) of NGS and US were 0.865 and 0.415, respectively. A total of 27 patients had ≥1 metastases to lymph nodes, 19 of which carried mutations, including BRAF, RET, NRAS, PIK3CA, TP53, CTNNB1 and PTEN. However, there was no correlation between the variant allele frequency of specific gene mutations and the number of metastatic lymph nodes. In conclusion, the prediction value of NGS was higher than the US‑based Thyroid Imaging Reporting and Data System (TI‑RADS). NGS is valuable for the accurate differentiation of benign and malignant thyroid nodules, and pathological subtypes in FFPE samples. The findings of the present study may pave the way for the application of NGS in analyzing fine‑needle aspiration (FNA) biopsy samples.

Indexed as

Biopsy, Fine-NeedleCell DifferentiationFemaleGene FrequencyHigh-Throughput Nucleotide SequencingHumansLymphatic MetastasisLymph NodesMaleMiddle AgedMutationThyroid GlandThyroid NeoplasmsThyroid Nodule

Identifiers

PMID29901149
PMCPMC6072293
OpenAlexW2808399236

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.