|
|
Correlation between histogram analysis parameters derived from DCE-MRI and the expression of PD-L1 in triple-negative breast cancer#br# |
LI Ji PENG Fei WANG Shuo |
Magnetic Resonance Chamber, Tangshan People’s Hospital, Hebei Province, Tangshan 063000, China |
|
|
Abstract Objective To explore the correlation between dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) multi-function histogram parameters (Ktrans, Kep, Ve) and the expression of programmed death ligand 1 (PD-L1) in triple-negative breast cancer. Methods A collection of 52 patients with triple-negative breast cancer who were pathologically confirmed in the Tangshan People’s Hospital, Hebei Province from December 2019 to June 2020. Before surgery or before puncture, DCE-MRI was performed to calculate the histogram parameters of the MRI multi-function parameters (Ktrans, Kep, Ve) of the patient’s lesions, and the positive expression of PD-L1 in each lesion was detected by immunohistochemistry. The expression of PD-L1 was detected by two scoring methods: tumor positive cell score (TPS) and immune cell score (IC). According to the expression of PD-L1, they were divided into negative group and positive group, and the significance of each histogram quantitative parameter and the positive expression of PD-L1 in breast cancer was evaluated. Results In the TPS scoring system for triple-negative breast cancer, the positive expression rate of PD-L1 was 21.15%, and in the IC scoring system, the positive expression rate of PD-L1 was 40.38%. In the IC score group, the mean Ktrans, Ktrans P50, and Ktrans P75 values of the PD-L1 positive group were higher than those of the negative group (P < 0.05). The mean Kep, Kep P25, and Kep P50 values of the PD-L1 positive group were higher than those of the negative group (P < 0.05). In the TPS scoring group, the PD-L1 scoring status was compared in various functional parameters of MRI, and the difference was not statistically significant (P > 0.05). Conclusion In the IC score group, PD-L1 positive triple-negative breast cancer patients have higher Ktrans and Kep. Therefore, MRI multifunctional parameters may be an effective imaging index for pre-evaluating whether patients with triple-negative breast cancer can be immunotherapy.
|
|
|
|
|
[1] Bianchini G,Balko JM,Mayer IA,et al. Triple-negative breast cancer:challenges and opportunities of a heterogeneous disease [J]. Nat Rev Clin Oncol,2016,13(11):674-690.
[2] 陶海云,屈中玉,吴艳林,等.免疫治疗相关蛋白PD-1/PD-L1在三阴乳腺癌中的表达及临床意义[J].癌症进展,2019,17(2):173-182.
[3] Brockhoff G,Seitz S,Weber F,et al. The presence of PD-1 positive tumor infiltrating lymphocytes in triple negative breast cancers is associated with a favorable outcome of disease [J]. Oncotarget,2017,9(5):6201-6212.
[4] 张佳琪,贾红燕.PD-1/PD-L1抑制剂在乳腺癌中的研究进展[J].中国普外基础与临床杂志,2017,19(5):409-413.
[5] Gillies RJ,Kinahan PE,Hricak H. Radiomics:images are more than pictures,they are data [J]. Radiology,2016,278(2):563-577.
[6] 高雅,许永生,冯雯,等.动态增强MRI定量参数及其直方图在乳腺癌中的研究进展[J].中国介入影像与治疗学,2021,18(3):183-186.
[7] Lehmann BD,Jovanovi■ B,Chen X,et al. Refinement of triple-negative breast cancer molecular subtypes:implications for neoadjuvant chemotherapy selection [J]. PLoS One,2016,11(6):e0157368.
[8] Parvathareddy SK,Siraj AK,Ahmed SO,et al. PD-L1 Protein Expression in Middle Eastern Breast Cancer Predicts Favorable Outcome in Triple-Negative Breast Cancer [J]. Cells,2021,10(2):229.
[9] Salgado R,Denkert C,Demaria S,et al. The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014 [J]. Ann Oncol,2015,26(2):259-271.
[10] Mittendorf EA,Philips AV,Meric-Bernstam F,et al. PD-L1 expression in triple-nagative breast cancer [J]. Cancer Immunol Res,2014,2(4):361-370.
[11] 杨芳,陈晓品.PD-1/PD-L1在三阴乳腺癌中的研究进展[J].现代肿瘤医学,2017,25(15):2511-2514.
[12] 金吕程,韩桂燕,董晓彤,等.PD-L1表达与CD8阳性T细胞在乳腺癌中相关性探讨[J].诊断病理学杂志,2020,27(12):899-903.
[13] Schmid P,Adams S,Rugo HS,et al. Atezolizumab and nab-paclitaxel in advanced triple-negative breast cancer [J]. N Engl J Med,2018,379(22):2108-2121.
[14] Li K,Hongqi T. Development of small- molecule immune checkpoint inhibitors of PD-1/PD-L1 as a new therapeutic strategy for tumour immunotherapy [J]. JDrug Target,2019,27(3):244-256.
[15] 张艳珍,胡蝶,郑瑞,等.PD-1及其配体PD-L1与乳腺癌的研究进展[J].沈阳医学院学报,2021,23(2):177-181.
[16] Khalifa F,Soliman A,El-Baz A,et al. Models and methods for analyzing DCE-MRI:a review [J]. Med Phys,2014, 41(12):124301.
[17] 王洁,唐文伟,田忠甫,等.乳腺癌DCE-MRI参数及ADC与病理分子预后标记物的相关性分析[J].磁共振成像,2021,12(3):76-79.
[18] 黄亚男,赵振华,毛海佳,等.不同病理类型肺癌磁共振定量灌注直方图参数、表观扩散系数与Ki-67相关性分析[J].中华医学杂志,2019,99(21):1645-1650.
[19] Meyer HJ,Hhn AK,Surov A. Associations between histogram analysis parameters derived from dynamic contrast enhanced MRI and PD L1-expression in head and neck squamous cell carcinomas. A preliminary study [J]. Man Reson Imaging,2020,72,117-121.
[20] Li L,Kai W,Sun X,et al. Parameters of dynamic contrast-enhanced MRI as imaging markers for angiognersis and proliferation in human breast cancer [J]. Med Sci Monit,2015,21:376-382
[21] 尚海龙,杨玲,沈海林,等.3.0T MR多定量参数与乳腺癌预后因子Ki-67相关性研究[J].影像诊断与介入放射学,2017,26(5):383-387.
[22] 范晓杰,王心然,岳萌,等.PD-L1在三阴乳腺癌组织中表达及其与脉管生成的关系[J].中国肿瘤生物治疗杂志,2019,26(11):1229-1234.
[23] Stanton SE,Adams S,Disis ML. Variation in the incidence and magnitude of tumor-infiltrating lymphocytes in breast cancer subtypes:a systematic review [J]. JAMA Oncol,2016,2(10):1354-1360.
[24] Ahn SG,Kim SK,Shepherd JH,et al. Clinical and genomic assessment of PD-L1 SP142 expression in triple-negative breast cancer [J]. Breast Cancer Res Treat,2021, 188(1):165-178.
[25] 任殿泉,冯立文,乌仁高娃.PD-L1和miR-34a在三阴乳腺癌中的表达及相关性研究[J].诊断病理学杂志,2020,27(1):38-41. |
|
|
|