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Title

Clinical factors influencing serum CA125 levels and their implications for diagnosing ovarian tumors

 

Authors

Neha Bharti1, Nisha Jha2, Sanjeev Kumar1,* & Sude Singh3

 

Affiliation

1Department of Biochemistry, ESIC Medical College & Hospital, Bihta, Patna, Bihar, India; 2Department of Biochemistry, Netaji Subhas Medical College & Hospital, Bihta, Patna Bihar, India; 3Department of Biochemistry, Darbhanga Medical College, Darbhanga, Bihar, India; *Corresponding author

 

Email

Neha Bharti - E-mail: drnehabharti22@gmail.com

Nisha Jha - E-mail: drnishajha7@gmail.com

Sanjeev Kumar - E-mail: drsanjeevscb@gmail.com

Sude Singh - E-mail: drsudesingh@gmail.com

 

Article Type

Research Article

 

Date

Received April 1, 2026; Revised April 30, 2026; Accepted April 30, 2026, Published April 30, 2026

 

Abstract

Ovarian tumors remain a major gynaecological health problem and are among the leading causes of cancer-related mortality among women in India. Therefore, it is of interest to evaluate serum CA125 levels in women with ovarian tumors and examine their association with clinical diagnosis and risk factors such as age, body mass index (BMI), smoking, parity, and socioeconomic status. Hence, a total of 100 patients with ovarian tumors (50 benign and 50 malignant) and 50 age-matched healthy controls were included, and serum CA125 levels were measured using ELISA. CA125 levels were significantly higher in malignant tumors (1045.28 ± 281.96 U/ml) compared with benign tumors (186.48 ± 103.20 U/ml) and controls (18.50 ± 12.35 U/ml; p < 0.005), with significant associations observed with increasing age, higher BMI, smoking status, lower parity, and higher socioeconomic status. Thus, the combined diagnostic and risk-stratification value of CA125 with demographic and lifestyles factors help improve early detection and clinical assessment of ovarian tumors.

 

Keywords

CA125, ovarian cancer, biomarker, benign and malignant tumors, diagnostic utility

 

Citation

Bharti et al. Bioinformation 22(4): 2481-2486 (2026)

 

Edited by

Neelam Goyal & Shruti Dabi

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.