Evidence map›Paper›PMID 29749483›Full record

ArticleOncology reports2018

Integrated bioinformatics analysis reveals that the expression of cathepsin S is associated with lymph node metastasis and poor prognosis in papillary thyroid cancer.

Juan Tan, Xiaoxiao Qian, Bin Song, Xiumin An, Tingting Cai, Zhihua Zuo, Dafa Ding, Yibing Lu, Hong Li

Open access · bronzeAbstract 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 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.6field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  4. Are cathepsins a risk factor for papillary thyroid carcinoma? A bidirectional two-sample mendelian randomization analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
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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

9 authors at 3 institutions in 1 country.

Juan TanDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China.
Xiaoxiao QianDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China.
Bin SongDepartment of Endocrinology, Clinical Medical College of Yangzhou University, Yangzhou, Jiangsu 225001, P.R. China.
Xiumin AnDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China.
Tingting CaiDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China.
Zhihua ZuoDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China.
Dafa DingDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China.
Yibing LuDepartment of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China.
Hong LiMedical Examination Center, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu 223300, P.R. China.
Second Affiliated Hospital of Nanjing Medical University · CNNanjing Medical University · CNYangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis of the majority of patients with papillary thyroid cancer (PTC) is excellent, although there are patients who experience disease recurrence and progression. The aim of the present study was to identify potential prognostic risk markers in PTC. Differentially expressed genes (DEGs), identified from four Genome Expression Omnibus cohorts were subjected to functional enrichment analyses with Gene Ontology terms and the Kyoto Encyclopedia of Genes and Genome pathways. Hub genes, filtered from cytoHubba, were validated using the The Cancer Genome Atlas (TCGA) cohort, and their associations with clinicopathological features and prognosis were analyzed. A total of 277 DEGs were identified following data preprocessing. DEGs were primarily enriched in 'small cell lung cancer', 'ECM-receptor interaction', 'pathways in cancer'and 'tyrosine metabolism'. Hub genes [APOE, cathepsin S (CTSS), insulin receptor substrate 1 (IRS1), KIT, LGALS3, RUNX2 and TGFBR1] were extracted from cytoHubba. Their expression in the TCGA cohort was consistent with that in the GEO cohorts. CTSS (P=0.006) and IRS1 (P=0.005) were associated with disease‑free survival, as determined using the Kaplan-Meier analysis. CTSS was an independent risk factor for poor disease‑free survival (HR, 2.649; 95% CI, 1.095-6.409; P=0.031). Patients with high expression of CTSS exhibited different histological types (increased tall-cell subtype and reduced follicular subtype; P<0.001), more frequent lymph node metastasis (P<0.001) and advanced tumor-node-metastasis stages (P=0.049) compared with the low-expression group. High expression of CTSS was independently associated with lymph node metastasis (OR, 2.015; 95% CI, 1.225-3.315; P=0.006). Therefore, CTSS may serve as a predictive risk marker for the progression and prognosis of PTC.

Indexed as

PrognosisAgedCarcinoma, PapillaryCathepsinsComputational BiologyDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLymphatic MetastasisLymph NodesMaleMiddle AgedNeoplasm Recurrence, LocalThyroid Cancer, Papillarycathepsin SCathepsins

Identifiers

PMID29749483
PMCPMC6059735
OpenAlexW2801208697

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.