Evidence map›Paper›PMID 30426295›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2019

Combined detection of serum autoantibodies as diagnostic biomarkers in esophagogastric junction adenocarcinoma.

Yi-Wei Xu, Hao Chen, Hai-Peng Guo, Shi-Han Yang, Yu-Hao Luo, Can-Tong Liu, Xin-Yi Huang, Xue-Miao Tang, Chao-Qun Hong, En-Min Li and 2 more

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In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
4.3field-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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  7. Targeted Hsp70 fluorescence molecular endoscopy detects dysplasia in Barrett's esophagus.European journal of nuclear medicine and molecular imaging · 2022
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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

12 authors at 6 institutions in 1 country.

Yi-Wei XuDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, People's Republic of China.
Hao ChenState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Hai-Peng GuoDepartment of Head and Neck Surgery, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, People's Republic of China.
Shi-Han YangDepartment of Dermatology and Venereology, Shantou Central Hospital, Shantou, 515041, People's Republic of China.
Yu-Hao LuoDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, People's Republic of China.
Can-Tong LiuDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, People's Republic of China.
Xin-Yi HuangThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, 515041, People's Republic of China.
Xue-Miao TangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Chao-Qun HongDepartment of Oncological Laboratory Research, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, People's Republic of China.
En-Min LiGuangdong Esophageal Cancer Research Institute, Shantou University Medical College, Shantou, 515041, People's Republic of China. nmli@stu.edu.cn.
Li-Yan XuGuangdong Esophageal Cancer Research Institute, Shantou University Medical College, Shantou, 515041, People's Republic of China. lyxu@stu.edu.cn.
Yu-Hui PengDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, People's Republic of China. pengyuhui666@163.com.
Shantou University Medical College · CNShantou University · CNCancer Hospital of Shantou University Medical College · CNShantou Central Hospital · CNSun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe previously found that autoantibodies against a panel of six tumor-associated antigens (p53, NY-ESO-1, MMP-7, Hsp70, PRDX6 and Bmi-1) may aid in early detection of esophageal squamous cell carcinoma. Here we aimed to evaluate the diagnostic value of this autoantibody panel in esophagogastric junction adenocarcinoma (EJA) patients.

methodsSerum autoantibody levels were measured by enzyme-linked immunosorbent assay in a training cohort and a validation cohort. We used receiver-operating characteristics (ROC) to calculate diagnostic accuracy.

resultsWe recruited 169 normal controls and 122 EJA patients to the training cohort, and 80 normal controls and 70 EJA patients to the validation cohort. Detection of the autoantibody panel demonstrated an area under the curve (AUC) of 0.818, sensitivity 59.0% and specificity 90.5% in training cohort, and AUC 0.815, sensitivity 61.4% and specificity 90.0% in validation cohort in the diagnosis of EJA. Measurement of the autoantibody panel could distinguish early stage EJA patients from normal controls (AUC 0.786 and 0.786, sensitivity 50.0% and 56.0%, and specificity 90.5% and 90.0%, for training and validation cohorts, respectively). Moreover, a restricted panel consisting of autoantibodies against p53, NY-ESO-1 and Bmi-1 exhibited similar diagnostic performance for EJA (AUC 0.814 and 0.823, sensitivity 53.5% and 60.0%, and specificity 90.5% and 93.7%, for training and validation cohorts, respectively) and early stage EJA (AUC 0.744 and 0.773, sensitivity 55.6% and 52.0%, and specificity 90.5% and 93.7%, for training and validation cohorts, respectively).

conclusionsAutoantibodies against an optimized TAA panel as serum biomarkers appear to help identify the present of early stage EJA.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overAutoantibodiesBiomarkers, TumorCarcinoma, Squamous CellCase-Control StudiesEarly Detection of CancerEsophageal NeoplasmsFemaleFollow-Up StudiesHumansLymphatic MetastasisMaleMiddle AgedAutoantibodiesBiomarkers, TumorAutoantibodyDiagnosisEsophagogastric junction adenocarcinomaTumor-associated antigen

Identifiers

PMID30426295
PMCPMC6476828
OpenAlexW2901576856

What OpenQuestion holds

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LicenceCC BY
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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.