Medical Examination and Clinical Diagnosis

Relationship between multi⁃omics combined detection and clinicopathological characteristics, neoadjuvant chemotherapy effect of breast cancer

  • Fen LIU ,
  • Hui ZHAO ,
  • Limin. GUO
Expand
  • *.Department of Pathology,the Fourth Clinical College,Xinxiang Central Hospital/Xinxiang Medical College,Xinxiang 453000,He′nan,China

Received date: 2024-09-06

  Online published: 2024-12-23

Abstract

Objective To assess the levels of peripheral blood markers including carbohydrate antigen 15-3 (CA15-3), carbohydrate antigen 125 (CA125), carcinoembryonic antigen (CEA), cytokeratin-18 (CK18), and neutrophil-to-lymphocyte count ratio (NLR) in breast cancer patients, investigate their correlation with clinicopathological characteristics, and evaluate the impact of neoadjuvant chemotherapy. Methods The clinical data of 187 patients with breast cancer who underwent neoadjuvant chemotherapy at our hospital between January 2020 and December 2023 were retrospectively analyzed. Based on the evaluation criteria for solid tumor response after 8 cycles of chemotherapy, the patients were divided into two groups: an effective group (n = 84) and an ineffective group (n = 103). The levels of CA15-3, CA125, CEA, CK18, and NLR in the peripheral blood of breast cancer patients before neoadjuvant chemotherapy were measured. Furthermore, a comparison was made between the levels of CA15-3, CA125, CEA, CK18, and NLR in the peripheral blood among breast cancer patients with different clinicopathological characteristics. Additionally, a comparison was conducted between the levels of CA15-3, CA125, CEA, CK18,and NLR in the peripheral blood as well as clinical data between the effective group and ineffective group. Univariate and multivariate logistic regression analyses were employed to examine the factors influencing the ineffectiveness of neoadjuvant chemotherapy in breast cancer patients. Additionally, a receiver operating characteristic (ROC) curve was constructed to assess the predictive efficacy of peripheral blood markers including CA15-3, CA125, CEA, CK18, and NLR on the response to neoadjuvant chemotherapy in breast cancer patients. Results The levels of CA15-3, CA125, CEA, CK18, and NLR in the peripheral blood of breast cancer patients with T3~T4 stage, N1~N3 stage, and human epidermal growth factor receptor-2 (HER-2) positivity were significantly elevated compared to those in breast cancer patients with T2 stage, N0 stage, and HER-2 negativity (P < 0.05). The levels of CA15-3, CA125, CEA, CK18, and NLR in the peripheral blood were found to be higher in the ineffective group than in the effective group (P < 0.05). Moreover, a higher proportion of patients in the ineffective group exhibited T3~T4 stage tumors along with N1~N3 lymph node involvement. Additionally observed were histological grade of low differentiation as well as positive progesterone receptor and estrogen receptor expression. Furthermore high expression of tumor proliferation antigen was more prevalent among patients classified under the ineffective group. (P < 0.05). Elevated peripheral blood CA15-3, CA125, CEA, CK18 and NLR levels, T3~T4 stage, N1~N3 stage, low differentiation, and ER positive were identified as significant risk factors for neoadjuvant chemotherapy in breast cancer patients (P < 0.05). The predictive performance of peripheral blood CA15-3, CA125, CEA, CK18 and NLR in assessing the efficacy of neoadjuvant chemotherapy yielded a sensitivity of 96.43%, specificity of 82.52%, and an area under the curve (AUC) value of 0.956. Furthermore, combined prediction demonstrated higher sensitivity and AUC compared to individual predictors (P < 0.05), while maintaining similar specificity levels. Conclusions The levels of CA15-3, CA125, CEA, CK18 and NLR in peripheral blood are closely associated with the clinicopathological characteristics of breast cancer patients and can impact the efficacy of neoadjuvant chemotherapy. These biomarkers have potential for predicting response to neoadjuvant chemotherapy in breast cancer patients, with improved accuracy when used in combination.

Cite this article

Fen LIU , Hui ZHAO , Limin. GUO . Relationship between multi⁃omics combined detection and clinicopathological characteristics, neoadjuvant chemotherapy effect of breast cancer[J]. The Journal of Practical Medicine, 2024 , 40(24) : 3539 -3546 . DOI: 10.3969/j.issn.1006-5725.2024.24.017

References

1 TAO X, LI T, GANDOMKAR Z,et al. Incidence, mortality, survival, and disease burden of breast cancer in China compared to other developed countries[J]. Asia Pac J Clin Oncol,2023,19(6): 645-654. doi:10.1111/ajco.13958
2 肖晶晶,黄美玲,延常姣,等. Her-2阳性乳腺癌新辅助化疗联合靶向治疗获得病理完全缓解的影响因素[J]. 实用医学杂志,2022,38(5): 542-546.
3 SHIEN T, IWATA H. Adjuvant and neoadjuvant therapy for breast cancer[J]. Jpn J Clin Oncol,2020,50(3): 225-229. doi:10.1093/jjco/hyz213
4 武兵,朱慧,沙德厚,等. DWI联合血清糖类抗原153、125及癌胚抗原诊断乳腺癌的价值研究[J]. 医学影像学杂志,2021,31(8):1326-1329,1346.
5 EL-SHARKAWY A, ATEF S, ABDEL-MAJEED A,et al. Circulating tumor cells in breast cancer: A step toward precision medicine for real-time monitoring of metastasis[J]. Asian Pac J Cancer Prev,2023,24(5): 1725-1730. doi:10.31557/apjcp.2023.24.5.1725
6 师锐赞,牛亚楠,高宇,等. 细胞角蛋白18下调增加非肌肉肌球蛋白ⅡA表达促进乳腺癌转移[J]. 中国药理学通报,2022,38(6): 861-865.
7 MOON G,NOH H, CHO I J,et al. Prediction of late recurrence in patients with breast cancer: elevated neutrophil to lymphocyte ratio (NLR) at 5 years after diagnosis and late recurrence[J]. Breast Cancer,2020,27(1): 54-61. doi:10.1007/s12282-019-00994-z
8 INOUE Y, FUJISHIMA M,ONO M,et al. Clinical significance of the neutrophil-to-lymphocyte ratio in oligometastatic breast cancer[J]. Breast Cancer Res Treat,2022,196(2): 341-348. doi:10.1007/s10549-022-06726-w
9 中国乳腺癌新辅助治疗专家组. 中国乳腺癌新辅助治疗专家共识(2019年版)[J]. 中国癌症杂志,2019,29(5): 390-400.
10 LIAN W, LIU C, GU B,et al. The early prediction of pathological response to neoadjuvant chemotherapy and prognosis: Comparison of PET Response Criteria in Solid Tumors and European Organization for Research and Treatment of Cancer criteria in breast cancer[J]. Nucl Med Commun,2020,41(3):280-287. doi:10.1097/mnm.0000000000001145
11 包兆康,程家乐,俞士尤. 乳腺癌患者中肿瘤异常糖链蛋白的表达情况及与新辅助化疗疗效的关系[J]. 癌症进展,2020,18(8):835-837.
12 高建朝,王思思,张志生,等. miR-206、miR-125、miR-21在乳腺癌新辅助化疗疗效和预后评估中的价值[J]. 检验医学,2023,38(11):1062-1068.
13 庄赵为,袁武梅,任作东,等. 乳腺癌患者外周血中颗粒酶B和穿孔素的表达及意义[J]. 实用医学杂志,2023,39(22): 2872-2877.
14 SEBER E S, IRIAGAC Y, CAVDAR E,et al. Efficacy of neoadjuvant chemotherapy in lobular and rare subtypes of breast cancer[J]. J Coll Physicians Surg Pak,2024,34(1): 37-41. doi:10.29271/jcpsp.2024.01.37
15 李彦魁,杨文涛,吴茜. 不同病理分期乳腺癌患者免疫功能、肿瘤标志物及炎症因子的变化分析[J]. 海南医学院学报,2019,25(7): 515-518.
16 赵跃,吴凤云,袁淑环,等. 术前NLR、PLR、SII与乳腺癌临床病理特征的关系[J]. 中国现代普通外科进展,2021,24(2): 151-154.
17 JAIN M, INGOLE S D, DESHMUKH R S,et al. CEA, CA 15-3, and miRNA expression as potential biomarkers in canine mammary tumors[J]. Chromosome Res,2021,29(2): 175-188.
18 ASSAD D X, MASCARENHAS E C P, NORMANDO A G C,et al. Correlation between salivary and serum CA15-3 concentrations in patients with breast cancer[J]. Mol Clin Oncol,2020,13(2): 155-161. doi:10.3892/mco.2020.2062
19 KALVALA J, PARKS R M, ABDI J,et al. Assessment of the androgen receptor in older women with primary breast cancer: Association with a panel of biomarkers and breast cancer specific survival[J]. Adv Ther,2023,40(6): 2820-2835. doi:10.1007/s12325-023-02504-2
20 HENDAWY S R, MANSOUR M, HAMED M,et al. Serum cytokeratin 18 as a potential early marker for chemotherapy response in breast cancer patients: A prospective study[J]. Asian Pac J Cancer Prev,2023,24(3): 969-975. doi:10.31557/apjcp.2023.24.3.969
21 XIANG Y, ZHANG N, LEI H,et al. Neutrophil-to-lymphocyte ratio is a negative prognostic biomarker for luminal A breast cancer[J]. Gland Surg,2023,12(3):415-425. doi:10.21037/gs-23-80
22 MANGINSTAR C, OLEY M H, OLEY M C,et al. Correlation analysis of HIF-1α and Ca15-3 in response to neoadjuvant chemotherapy in locally advanced breast cancer: A cohort study in Indonesia[J]. Breast Dis,2022,41(1): 481-487. doi:10.3233/bd-229004
23 FAZILAT-PANAH D, VAKILI AHRARI ROUDI S, KERAMATI A,et al. Changes in cytokeratin 18 during neoadjuvant chemotherapy of breast cancer: A prospective study[J]. Iran J Pathol,2020,15(2): 117-126. doi:10.30699/ijp.2020.116238.2261
24 VON AU A, SHENCORU S, UHLMANN L,et al. Predictive value of neutrophil-to-lymphocyte-ratio in neoadjuvant-treated patients with breast cancer[J]. Arch Gynecol Obstet,2023,307(4): 1105-1113. doi:10.1007/s00404-022-06726-7
25 DING F, CHEN RY, HOU J,et al. Efficacy and prognostic factors of neoadjuvant chemotherapy for triple-negative breast cancer[J]. World J Clin Cases,2022,10(12): 3698-3708. doi:10.12998/wjcc.v10.i12.3698
26 MüLLER C, SCHMIDT G, JUHASZ-B?SS I,et al. Influences on pathologic complete response in breast cancer patients after neoadjuvant chemotherapy[J]. Arch Gynecol Obstet,2021,304(4): 1065-1071. doi:10.1007/s00404-021-06018-6
Outlines

/