Expression differences and clinical significance of PD-L1 in lung cancer patients with different histological types and differentiation degrees.

IF 3.5 3区 医学 Q2 PATHOLOGY
Xincheng Zhou, Shuang Ao, Yanan Guo, Jing Jin
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引用次数: 0

Abstract

Objective: To investigate the expression differences of PD-L1 in non-small cell lung cancer (NSCLC) patients with different histological types and differentiation degrees.

Methods: A retrospective analysis was conducted on the clinical data of 538 NSCLC patients diagnosed at Ningbo Pathological Diagnosis Center (6 small cell lung cancer cases were excluded due to limited sample size). PD-L1 expression was detected by immunohistochemistry (clone 22C3) and evaluated by tumor proportion score (TPS). Univariate chi-square test and multivariate Logistic regression analysis were used to analyze the associations between PD-L1 expression and clinical pathological factors (gender, age, histological type, differentiation degree).

Results: PD-L1 expression showed significant gender-based differences (P = 0.000), with a higher positivity rate in male patients. No significant difference was found in PD-L1 expression among different age groups (P = 0.708). Multivariate Logistic regression analysis confirmed that histological type (OR = 2.135, 95%CI:1.526-2.990, P = 0.000) and differentiation degree (OR = 0.412, 95%CI:0.298-0.569, P = 0.000) were independent influencing factors of PD-L1 high expression in NSCLC patients. The proportion of adenocarcinoma (ADC) patients with negative PD-L1 expression was significantly higher than that of squamous cell carcinoma (SCC) patients (32.45% vs. 19.92%, P = 0.000), while the high expression rate of SCC was significantly higher than that of ADC (30.08% vs. 19.21%, P = 0.000). The negative expression rate of PD-L1 in well-differentiated tumors was the highest (45.71%, P = 0.000), and the high expression rate in poorly differentiated tumors was the highest (35.98%, P = 0.000). Among well-differentiated patients with negative PD-L1 expression, the proportion of ADC was significantly higher than that of SCC (61.11% vs. 29.41%, P = 0.023); among well-differentiated patients with low PD-L1 expression, the proportion of SCC was higher than that of ADC (52.94% vs. 38.89%, P = 0.037).

Conclusion: PD-L1 expression in NSCLC is significantly correlated with histological type and differentiation degree, which are independent influencing factors of PD-L1 high expression. SCC and poorly differentiated tumors have higher PD-L1 expression levels, suggesting that these patients may have better responsiveness to PD-1/PD-L1 inhibitor immunotherapy. The study provides more precise pathological evidence for personalized immunotherapy strategies in NSCLC patients.

PD-L1在不同组织学分型及分化程度肺癌患者中的表达差异及临床意义
目的:探讨PD-L1在不同组织学类型和分化程度的非小细胞肺癌(NSCLC)患者中的表达差异。方法:回顾性分析宁波市病理诊断中心确诊的538例非小细胞肺癌患者的临床资料(因样本量有限,排除6例小细胞肺癌)。免疫组化(克隆22C3)检测PD-L1表达,肿瘤比例评分(TPS)评价PD-L1表达。采用单因素卡方检验和多因素Logistic回归分析PD-L1表达与临床病理因素(性别、年龄、组织学类型、分化程度)的关系。结果:PD-L1的表达存在显著的性别差异(P = 0.000),男性患者的阳性率较高。不同年龄组PD-L1表达差异无统计学意义(P = 0.708)。多因素Logistic回归分析证实,组织学类型(OR = 2.135, 95%CI:1.526 ~ 2.990, P = 0.000)和分化程度(OR = 0.412, 95%CI:0.298 ~ 0.569, P = 0.000)是NSCLC患者PD-L1高表达的独立影响因素。腺癌(ADC)患者PD-L1阴性表达比例显著高于鳞状细胞癌(SCC)患者(32.45% vs. 19.92%, P = 0.000), SCC高表达率显著高于ADC (30.08% vs. 19.21%, P = 0.000)。PD-L1在高分化肿瘤中阴性表达率最高(45.71%,P = 0.000),在低分化肿瘤中高表达率最高(35.98%,P = 0.000)。在PD-L1表达阴性的高分化患者中,ADC比例显著高于SCC (61.11% vs 29.41%, P = 0.023);在PD-L1低表达的高分化患者中,SCC的比例高于ADC(52.94%比38.89%,P = 0.037)。结论:非小细胞肺癌中PD-L1表达与组织学类型、分化程度显著相关,是PD-L1高表达的独立影响因素。SCC和低分化肿瘤的PD-L1表达水平较高,提示这些患者可能对PD-1/PD-L1抑制剂免疫治疗有更好的反应性。该研究为非小细胞肺癌患者的个性化免疫治疗策略提供了更精确的病理依据。
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来源期刊
Diagnostic Pathology
Diagnostic Pathology 医学-病理学
CiteScore
4.60
自引率
0.00%
发文量
93
审稿时长
1 months
期刊介绍: Diagnostic Pathology is an open access, peer-reviewed, online journal that considers research in surgical and clinical pathology, immunology, and biology, with a special focus on cutting-edge approaches in diagnostic pathology and tissue-based therapy. The journal covers all aspects of surgical pathology, including classic diagnostic pathology, prognosis-related diagnosis (tumor stages, prognosis markers, such as MIB-percentage, hormone receptors, etc.), and therapy-related findings. The journal also focuses on the technological aspects of pathology, including molecular biology techniques, morphometry aspects (stereology, DNA analysis, syntactic structure analysis), communication aspects (telecommunication, virtual microscopy, virtual pathology institutions, etc.), and electronic education and quality assurance (for example interactive publication, on-line references with automated updating, etc.).
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