Literature DB >> 29609043

Evaluation of HE4 and TTR for diagnosis of ovarian cancer: Comparison with CA-125.

Xin Zheng1, Shulin Chen1, Linfang Li1, Xiaohua Liu1, Xiaomin Liu1, Shuqin Dai1, Peng Zhang2, Huaiwu Lu3, Zhongqiu Lin3, Yuefei Yu4, Guorong Li5.   

Abstract

OBJECTIVE: Serum human epididymis protein 4 (HE4) and transthyretin (TTR) are new markers for ovarian cancer. We compared HE4 and TTR with the gold marker CA-125 for the diagnosis of ovarian cancer patients.
METHODS: One hundred and thirty serum samples from benign ovarian tumor and 400 serum samples from healthy women were used to set up the cut-off. One hundred and twenty-six serum samples from ovarian cancer patients before operation were collected to test the diagnostic value of these ELISA assays. The sensitivity, positive predictive value (PPV) and ROC curves were used to evaluate the diagnostic value.
RESULTS: For CA-125, the sensitivity and PPV were respectively 64.29% and 53.57% for stage I-II cancer patients, and respectively 91.43% and 88.57% for stage III-IV cancer patients. For HE4, the sensitivity and PPV were respectively 46.4% and 43.3% for stage I-II cancer patients, and respectively 88.6% and 49.2% for stage III-IV cancer patients. For TTR, the sensitivity and PPV were respectively 78.6% and 68.8% for stage I-II cancer patients, and respectively 82.9% and 74.3% for stage III-IV cancer patients. For CA125, the ROC was respectively 0.7941 and 0.9520 for stage I-II patients and stage III-IV patients. For HE4, the diagnostic value of ROC was 0.7071 for stage I-II cancer patients and 0.9250 for stage III-IV cancer patients. For TTR, the diagnostic value of ROC was 0.9112 for stage I-II cancer patients and 0.9322 for stage III-IV cancer patients.
CONCLUSION: Our results support that TTR is an efficient serum marker for the diagnosis of early stage ovarian cancer patients.
Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  CA-125; Diagnosis; HE4; Ovarian cancer; Sandwich ELISA; TTR

Mesh:

Substances:

Year:  2018        PMID: 29609043     DOI: 10.1016/j.jogoh.2018.03.010

Source DB:  PubMed          Journal:  J Gynecol Obstet Hum Reprod        ISSN: 2468-7847


  10 in total

Review 1.  The role of transthyretin in cell biology: impact on human pathophysiology.

Authors:  Joana Magalhães; Márcia Almeida Liz; Jessica Eira
Journal:  Cell Mol Life Sci       Date:  2021-07-23       Impact factor: 9.261

2.  ST3Gal3 confers paclitaxel‑mediated chemoresistance in ovarian cancer cells by attenuating caspase‑8/3 signaling.

Authors:  Xian Zhang; Xinying Yang; Ming Chen; Shaolie Zheng; Jinyuan Li; Shaoqiang Lin; Xiaoyu Wang
Journal:  Mol Med Rep       Date:  2019-09-26       Impact factor: 2.952

Review 3.  Epigenetic Biomarkers in the Management of Ovarian Cancer: Current Prospectives.

Authors:  Alka Singh; Sameer Gupta; Manisha Sachan
Journal:  Front Cell Dev Biol       Date:  2019-09-19

Review 4.  Prediction of the treatment response in ovarian cancer: a ctDNA approach.

Authors:  Mina Sharbatoghli; Somayeh Vafaei; Hamidreza Aboulkheyr Es; Mohsen Asadi-Lari; Mehdi Totonchi; Zahra Madjd
Journal:  J Ovarian Res       Date:  2020-10-19       Impact factor: 4.234

Review 5.  Gold Nanoparticles Based Optical Biosensors for Cancer Biomarker Proteins: A Review of the Current Practices.

Authors:  Jinghua Tai; Shuang Fan; Siqi Ding; Lishen Ren
Journal:  Front Bioeng Biotechnol       Date:  2022-04-26

6.  Multiple biomarkers are more accurate than a combination of carbohydrate antigen 125 and human epididymis protein 4 for ovarian cancer screening.

Authors:  Kyung Nam Kang; Eun Young Koh; Ji Young Jang; Chul Woo Kim
Journal:  Obstet Gynecol Sci       Date:  2022-04-21

Review 7.  Molecular Biomarkers for the Early Detection of Ovarian Cancer.

Authors:  Ruiqian Zhang; Michelle K Y Siu; Hextan Y S Ngan; Karen K L Chan
Journal:  Int J Mol Sci       Date:  2022-10-10       Impact factor: 6.208

8.  Biomarkers and Strategies for Early Detection of Ovarian Cancer.

Authors:  Robert C Bast; Zhen Lu; Chae Young Han; Karen H Lu; Karen S Anderson; Charles W Drescher; Steven J Skates
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-10-13       Impact factor: 4.254

Review 9.  New Predictive Biomarkers for Ovarian Cancer.

Authors:  Ghofraan Abdulsalam Atallah; Nor Haslinda Abd Aziz; Chew Kah Teik; Mohamad Nasir Shafiee; Nirmala Chandralega Kampan
Journal:  Diagnostics (Basel)       Date:  2021-03-07

10.  A Quest for New Cancer Diagnosis, Prognosis and Prediction Biomarkers and Their Use in Biosensors Development.

Authors:  Eda G Ramirez-Valles; Alicia Rodríguez-Pulido; Marcelo Barraza-Salas; Isaac Martínez-Velis; Iván Meneses-Morales; Víctor M Ayala-García; Carlos A Alba-Fierro
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.