Evidence map›Paper›PMID 41691186›Full record

ArticleBMC cancer2026

An evaluation model of chemotherapy efficacy in breast cancer based on combined serum CA15-3, CEA, and CYFRA 21 - 1.

Junya Zhang, Chun Dai, Shouchao Wang, Yu Chen, Kun Wang

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Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Junya Zhang *Department of Breast and Thyroid Surgery, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, China.
Chun Dai *Department of General Surgery, The People's Hospital of Yangzhong City, Yangzhong, Jiangsu, 212200, China.
Shouchao WangDepartment of Breast and Thyroid Surgery, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, China.
Yu ChenDepartment of Breast and Thyroid Surgery, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, China.
Kun WangDepartment of Breast and Thyroid Surgery, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, China. kunwangdoctor@163.com.

Funding

he Doctoral Scientific Startup fund jdfyRC2024010the Key Research and Development Project of Zhenjiang SH2016030
6 · The paper itself

Abstract

BACKGROUND AND

aimBreast cancer remains one of the most prevalent malignancies in women worldwide, and chemotherapy plays a crucial role in systemic treatment. However, accurate assessment of therapeutic efficacy remains a clinical challenge. Traditional radiographic evaluation is time-consuming and sometimes limited in reflecting biological response. Serum tumor markers, including carbohydrate antigen 15 − 3 (CA15-3), carcinoembryonic antigen (CEA), and cytokeratin fragment 21 − 1 (CYFRA 21 − 1), have been reported to correlate with tumor burden and treatment response. This study aimed to construct a retrospective evaluation model based on combined serum CA15-3, CEA, and CYFRA 21 − 1 for predicting chemotherapy efficacy in breast cancer patients.

methodsA total of 352 breast cancer patients who received standardized chemotherapy between January 2020 and December 2024 were retrospectively enrolled. Serum levels of CA15-3, CEA, and CYFRA 21 − 1 were collected at baseline and after two cycles of chemotherapy. The associations between tumor marker dynamics and clinical response (complete response, partial response, stable disease, progressive disease) were analyzed using logistic regression. A composite evaluation model (CCC model) was developed, and receiver operating characteristic (ROC) curves were applied to assess its discriminative performance compared with single markers.

resultsAmong the 352 patients, 198 (56.3%) achieved an objective response (CR + PR), while 154 (43.7%) had non-response (SD + PD). Post-chemotherapy levels of CA15-3, CEA, and CYFRA 21 − 1 were significantly lower in the response group compared with the non-response group (all P < 0.001). Logistic regression revealed that decreases in CA15-3 (OR = 1.046, 95% CI: 1.018–1.075, P < 0.001), CEA (OR = 1.037, 95% CI: 1.012–1.064, P = 0.002), and CYFRA 21 − 1 (OR = 1.059, 95% CI: 1.022–1.097, P = 0.001) were independent predictors of chemotherapy efficacy. The CCC model integrating the three markers achieved an area under the ROC curve (AUC) of 0.921 (95% CI: 0.894–0.949), which was superior to single markers (CA15-3: 0.812, CEA: 0.773, CYFRA 21 − 1: 0.756).

conclusionsThe combined serum tumor marker model (CA15-3, CEA, and CYFRA 21 − 1) provides a robust, simple, and cost-effective method for retrospective evaluation of chemotherapy efficacy in breast cancer patients. This CCC model can serve as a valuable adjunct to imaging modalities, enabling more precise treatment monitoring and potentially guiding timely therapeutic adjustments.

Indexed as

Antigens, NeoplasmAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCarcinoembryonic AntigenKeratin-19Mucin-1AdultAgedFemaleHumansMiddle AgedRetrospective StudiesROC CurveTreatment Outcomeantigen CYFRA21.1Antigens, NeoplasmBiomarkers, TumorCarcinoembryonic AntigenKeratin-19Mucin-1Breast cancerCA15-3CEAChemotherapyCYFRA 21 − 1Predictive modelSerum markers

Identifiers

PMID41691186
PMCPMC13011538

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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.