Literature DB >> 31239266

Discovery and Validation of a Serologic Autoantibody Panel for Early Diagnosis of Esophageal Squamous Cell Carcinoma.

Jianbo Pan1, Qing-Zhu Zheng2,3, Yadong Li2,3, Li-Li Yu2,3, Qing-Wei Wu2,3, Jia-Ying Zheng2,3, Xiao-Jie Pan2,4, Bao-Song Xie2,5, Yan-An Wu2,3, Jiang Qian6, Heng Zhu7, Yi Huang8,3,9.   

Abstract

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) accounts for the highest incidence rate worldwide and is responsible for the fourth leading cause of cancer-related death. Currently, serologic biomarkers for early ESCC diagnosis are needed for timely treatment.
METHODS: The performance of a four-autoantibody panel (i.e., anti-TP53, HRAS, CTAG1A, and NSG1) was evaluated by ELISA for the early diagnosis of ESCC with 569 retrospective serum samples. A training set comprising 129 patients with early-stage ESCC, 130 patients with esophageal benign lesion (EBL), and 150 healthy controls (HC) was used to develop an early ESCC predictive model. Data obtained from an independent validation set were used to evaluate and validate the predictive model to distinguish the early ESCC from the controls (EBL+HC). Finally, a multiplexed assay based on the Luminex xMAP technology platform was developed to enable simultaneous detection of the four-autoantibody panel using the validation set.
RESULTS: The four-autoantibody panel significantly discriminated early ESCC cases from the controls with 62.8% sensitivity at 88.9% specificity in the training set and with 58.0% sensitivity at 90.0% specificity in the independent validation set. The results of the multiplexed assay using xMAP technology for early ESCC showed a significant correlation with that of the ELISA assays with 66.0% sensitivity at 90.9% specificity.
CONCLUSIONS: A four-autoantibody panel showed good performance for early ESCC diagnosis with ELISA and could be further developed into a multiplex assay using the Luminex xMAP technology. IMPACT: The four-autoantibody panel could be used for serologic screening for early ESCC. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 31239266     DOI: 10.1158/1055-9965.EPI-18-1269

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  11 in total

1.  Integration of IgA and IgG Autoantigens Improves Performance of Biomarker Panels for Early Diagnosis of Lung Cancer.

Authors:  Jianbo Pan; Lili Yu; Qingwei Wu; Xiaoqing Lin; Shuang Liu; Shaohui Hu; Christian Rosa; Daniel Eichinger; Ignacio Pino; Heng Zhu; Jiang Qian; Yi Huang
Journal:  Mol Cell Proteomics       Date:  2020-01-10       Impact factor: 5.911

2.  Evaluating a Panel of Autoantibodies Against Tumor-Associated Antigens in Human Osteosarcoma.

Authors:  Manli Luo; Songmei Wu; Yan Ma; Hong Liang; Yage Luo; Wentao Gu; Lijuan Fan; Yang Hao; Haiting Li; Linbo Xing
Journal:  Front Genet       Date:  2022-04-25       Impact factor: 4.772

3.  The Combination of IgA and IgG autoantibodies against Transcriptional Intermediary Factor-1γ contributes to the early diagnosis of Lung Cancer.

Authors:  Lili Yu; Xiaoqing Lin; Liangming Zhang; Qingwei Wu; Songgao Zhang; Dunyan Chen; Xiaojie Pan; Yi Huang
Journal:  Int J Med Sci       Date:  2020-06-21       Impact factor: 3.738

4.  Analysis of Differentially Expressed Genes in a Chinese Cohort of Esophageal Squamous Cell Carcinoma.

Authors:  Gang Liu; Yuan Zhao; Huili Chen; Jinru Jia; Xiaomin Cheng; Fengjie Wang; Qiang Ji; Rick F Thorne; Song Chen; Xiaoying Liu
Journal:  J Cancer       Date:  2020-04-06       Impact factor: 4.207

5.  Development of a panel of serum IgG and IgA autoantibodies for early diagnosis of colon cancer.

Authors:  Meihong Chen; Xiaoqing Lin; Liangming Zhang; Lili Yu; Qingwei Wu; Songgao Zhang; Fangqin Xue; Yi Huang
Journal:  Int J Med Sci       Date:  2020-09-25       Impact factor: 3.738

Review 6.  Identifying Novel Biomarkers Ready for Evaluation in Low-Prevalence Populations for the Early Detection of Upper Gastrointestinal Cancers: A Systematic Review.

Authors:  Natalia Calanzani; Paige E Druce; Claudia Snudden; Kristi M Milley; Rachel Boscott; Dawnya Behiyat; Smiji Saji; Javiera Martinez-Gutierrez; Jasmeen Oberoi; Garth Funston; Mike Messenger; Jon Emery; Fiona M Walter
Journal:  Adv Ther       Date:  2020-12-11       Impact factor: 3.845

7.  Analysis of LAGEs Family Gene Signature and Prognostic Relevance in Breast Cancer.

Authors:  Hoang Dang Khoa Ta; Wan-Chun Tang; Nam Nhut Phan; Gangga Anuraga; Sz-Ying Hou; Chung-Chieh Chiao; Yen-Hsi Liu; Yung-Fu Wu; Kuen-Haur Lee; Chih-Yang Wang
Journal:  Diagnostics (Basel)       Date:  2021-04-19

8.  Temporal reproducibility of IgG and IgM autoantibodies in serum from healthy women.

Authors:  T V Clendenen; S Hu; Y Afanasyeva; M Askenazi; K L Koenig; T Hulett; M Liu; S Liu; F Wu; A Zeleniuch-Jacquotte; Y Chen
Journal:  Sci Rep       Date:  2022-04-13       Impact factor: 4.379

9.  Stem signatures associating SOX2 antibody helps to define diagnosis and prognosis prediction with esophageal cancer.

Authors:  Zi-Yang Peng; Qing-Shi Wang; Kai Li; Si-Si Chen; Xiang Li; Guo-Dong Xiao; Shou-Ching Tang; Hong Ren; Zhe Wang; Xin Sun
Journal:  Ann Med       Date:  2022-12       Impact factor: 4.709

10.  Proteome Profiling Uncovers an Autoimmune Response Signature That Reflects Ovarian Cancer Pathogenesis.

Authors:  Makoto Kobayashi; Hiroyuki Katayama; Ehsan Irajizad; Jody V Vykoukal; Johannes F Fahrmann; Deepali L Kundnani; Chuan-Yih Yu; Yining Cai; Fu Chung Hsiao; Wei-Lei Yang; Zhen Lu; Joseph Celestino; James P Long; Kim-Ann Do; Karen H Lu; Jon J Ladd; Nicole Urban; Robert C Bast; Samir M Hanash
Journal:  Cancers (Basel)       Date:  2020-02-19       Impact factor: 6.639

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