Literature DB >> 32691153

Stem signatures associated antibodies yield early diagnosis and precise prognosis predication of patients with non-small cell lung cancer.

Si-Si Chen1, Kai Li1, Jie Wu1, Zi-Yang Peng1, Zhi-Dong Wang1, Ji-Chang Wang2, Chong-Wen Xu3, Cai-Lin Zhu1, Bao-Cheng Li1, Hong Ren1, Shou-Ching Tang4, Xin Sun5.   

Abstract

BACKGROUND: This study was designed to detect patients with early NSCLC with tentatively using the stem signatures associated autoantibodies (AAbs), and to evaluate its latent values in the early diagnosis and precise prognosis prediction.
METHODS: The serum concentrations of selective antibodies were quantitated by enzyme-linked immunosorbent assay (ELISA), and a total of 458 cases were enrolled (training set = 401; validation set = 57). TCGA databases were used to analyze the distinct expressions and prognostic values of related genes. The optimal cut-off values were 11.60 U/ml for P53, 4.90 U/ml for MAGEA1, 3.85 U/ml for SOX2, and 7.05U/ml for PGP9.5.
RESULTS: We found that the stem signatures associated antibodies of MAGEA1, PGP9.5, SOX2, and TP53 exhibited high expressions in NSCLC, negatively correlating with the overall survival (OS) (P < 0.05). In the test groups, the diagnosis sensitivity of P53, PGP9.5, SOX2, and MAGEA1 reached to 21.5%, 39.0%, 50.3%, and 35.0%, respectively, and the specificity reached to 98.7%, 99.4%, 92.2%, and 97.4%. The four candidates' panel gave a sensitivity of 71.8% with a specificity of 89%. In the validation group, the detection of the four antibodies in early diagnosis of NSCLC also exhibited high specificity and sensitivity, further consolidating their potential application.
CONCLUSIONS: The detection regarding stem signatures associated antibodies could be used as effective tools in early NSCLC diagnosis, but not for localized screening of cancers, and their abnormal expression was in accordance with poorer survival.

Entities:  

Keywords:  Early diagnosis; NSCLC; Stem cell signatures; Survival predication

Year:  2020        PMID: 32691153     DOI: 10.1007/s00432-020-03325-4

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  2 in total

1.  Accuracy of FDG-PET/CT and paraneoplastic antibodies in diagnosing cancer in paraneoplastic neurological syndromes.

Authors:  B Vatankulu; S Yilmaz Aksoy; S Asa; S Sager; H B Sayman; M Halac; K Sonmezoglu
Journal:  Rev Esp Med Nucl Imagen Mol       Date:  2015-08-08       Impact factor: 1.359

2.  Evaluation of serum autoantibodies against tumor-associated antigens as biomarkers in lung cancer.

Authors:  Pei Li; Jian-Xiang Shi; Meng-Tao Xing; Li-Ping Dai; Ji-Tian Li; Jian-Ying Zhang
Journal:  Tumour Biol       Date:  2017-10
  2 in total
  5 in total

1.  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

2.  A Panel of Tumor-associated Autoantibodies for the Detection of Early-stage Breast Cancer.

Authors:  Chao-Qun Hong; Xue-Fen Weng; Xu-Chun Huang; Ling-Yu Chu; Lai-Feng Wei; Yi-Wei Lin; Liu-Yi Chen; Can-Tong Liu; Yi-Wei Xu; Yu-Hui Peng
Journal:  J Cancer       Date:  2021-03-05       Impact factor: 4.207

3.  Stimulation of Let-7 Maturation by Metformin Improved the Response to Tyrosine Kinase Inhibitor Therapy in an m6A Dependent Manner.

Authors:  Kai Li; Shan Gao; Lei Ma; Ye Sun; Zi-Yang Peng; Jie Wu; Ning Du; Hong Ren; Shou-Ching Tang; Xin Sun
Journal:  Front Oncol       Date:  2022-01-06       Impact factor: 6.244

4.  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

Review 5.  [Clinical Value of Autoantibody Prognostic Markers in Tumor Immune Checkpoint 
Inhibitor Therapy].

Authors:  Liyuan Dai; Xiaohong Han
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2022-07-20
  5 in total

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