Evidence map›Paper›PMID 36668770›Full record

ArticleToxics2022

A UPLC Q-Exactive Orbitrap Mass Spectrometry-Based Metabolomic Study of Serum and Tumor Tissue in Patients with Papillary Thyroid Cancer.

Bo Xu, Wei Gao, Ting Xu, Cuiping Liu, Dan Wu, Wei Tang

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 5 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

6 authors at 2 institutions in 1 country.

Bo XuState Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Wei GaoDepartment of Endocrinology, Nanjing Medical University Affiliated Geriatric Hospital, Nanjing 210024, China.
Ting XuDepartment of Endocrinology, Nanjing Medical University Affiliated Geriatric Hospital, Nanjing 210024, China.
Cuiping LiuBank of Biological Samples, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Dan WuDepartment of Endocrinology, Nanjing Medical University Affiliated Geriatric Hospital, Nanjing 210024, China.
Wei TangDepartment of Endocrinology, Nanjing Medical University Affiliated Geriatric Hospital, Nanjing 210024, China.
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

National Natural Science Foundation of China 81770773Natural Science Foundation of Jiangsu Province BK20211375
6 · The paper itself

Abstract

objectiveTo find the metabolomic characteristics of tumor or para-tumor tissues, and the differences in serums from papillary thyroid cancer (PTC) patients with or without lymph node metastasis.

methodsWe collected serums of PTC patients with/without lymph node metastasis (SN1/SN0), tumor and adjacent tumor tissues of PTC patients with lymph node metastasis (TN1 and PN1), and without lymph node metastasis (TN0 and PN0). Metabolite detection was performed by ultra-high performance liquid chromatography combined with Q-Exactive orbitrap mass spectrometry (UPLC Q-Exactive).

resultsThere were 31, 15, differential metabolites in the comparisons of TN1 and PN1, TN0 and PN0, respectively. Seven uniquely increased metabolites and fourteen uniquely decreased metabolites appeared in the lymph node metastasis (TN1 and PN1) group. Meanwhile, the results indicated that four pathways were co-owned pathways in two comparisons (TN1 and PN1, TN0 and PN0), and four unique pathways presented in the lymph node metastasis (TN1 and PN1) group.

conclusionsCommon or differential metabolites and metabolic pathways were detected in the lymph node metastasis and non-metastatic group, which might provide novel ways for the diagnosis and treatment of PTC.

Indexed as

lymph node metastasismetabolomicspapillary thyroid cancerserumtumor tissue

Identifiers

PMID36668770
PMCPMC9863332
OpenAlexW4313391744

What OpenQuestion holds

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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.