Identification of biomarkers for tumor regression grade in esophageal squamous cell carcinoma patients after neoadjuvant chemoradiotherapy.

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2025-01-17 eCollection Date: 2024-01-01 DOI:10.3389/fonc.2024.1426592
Zhifu Chen, Yan Wang, Jun Chen, Zijun Xu, Tingjuan Zhang, Lu Sun, Lihua Zhu, Liben Xu, Chaoyang Wu, Zhiyuan Qiu, Dianjun Wang, Ting Wu
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Abstract

Background: Esophageal cancer is a highly invasive malignancy. Neoadjuvant chemoradiotherapy not only increases the rate of complete resection but also improves the median survival. However, a sensitive biomarker is urgently needed in clinical practice.

Methods: 60 esophageal squamous cell carcinoma (ESCC) patients undergoing neoadjuvant chemoradiotherapy (NCRT) were enrolled at the People's Hospital Affiliated to Jiangsu University. Patients were grouped according to tumor regression grade (TRG) criteria from the College of American Pathologists (CAP). The correlation between TRG groups, clinicopathologic characteristics, and prognosis was analyzed. Differential gene expression analysis was performed on ESCC patients before and after NCRT using the public database (GSE43519). MMP9, NFIX, and GPR56 were identified as candidate genes, and their expression and correlation with prognosis were evaluated by immunohistochemical analysis.

Results: Among 60 ESCC patients who underwent surgery after NCRT, the pathological complete response (pCR) rate was 35.0% (21/60), and the major pathological response (MPR) rate was 60.0% (36/60). Poor tumor differentiation and neural or vascular invasion were associated with inadequate tumor regression grade and were independent factors influencing TRG. ESCC patients were divided into effective (TRG 0 + 1) and ineffective (TRG 2 + 3) groups. Higher TRG was significantly associated with shorter overall survival (OS). Our study also identified TRG as an independent prognostic factor through univariate and multivariate Cox regression analyses (P < 0.05). The differentially expressed genes GPR56, MMP9, and NFIX selected from the GSE43519 dataset were significantly downregulated after NCRT (P < 0.001). Immunohistochemistry showed that GPR56 was highly expressed in ESCC, while it was negatively expressed in paracancerous tissues. There was a significant difference in expression between cancerous and paracancerous tissues. GPR56 expression was consistent with the public dataset, and patients with high GPR56 expression had significantly shorter OS (P < 0.05). In addition, patients with inadequate MPR and high GPR56 expression had shorter OS (P < 0.05).

Conclusions: The findings suggest that TRG serves as an independent prognostic factor for ESCC following NCRT. High GPR56 expression is found to be associated with a poor prognosis of ESCC. Downregulation of GPR56 suggests a potential significant predictive value in conjunction with MPR analysis.

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食管鳞状细胞癌患者新辅助放化疗后肿瘤消退等级的生物标志物鉴定。
背景:食管癌是一种高度侵袭性的恶性肿瘤。新辅助放化疗不仅提高了全切率,而且提高了中位生存期。然而,临床迫切需要一种敏感的生物标志物。方法:选择江苏大学附属人民医院接受新辅助放化疗的食管鳞癌(ESCC)患者60例。根据美国病理学家学会(CAP)的肿瘤消退等级(TRG)标准对患者进行分组。分析TRG组与临床病理特征及预后的相关性。使用公共数据库(GSE43519)对ESCC患者NCRT前后的差异基因表达进行分析。将MMP9、NFIX和GPR56作为候选基因,通过免疫组化分析评估其表达及与预后的相关性。结果:60例ESCC患者NCRT术后手术,病理完全缓解(pCR)率为35.0%(21/60),主要病理缓解(MPR)率为60.0%(36/60)。肿瘤分化差和神经或血管侵犯与肿瘤消退程度不充分相关,是影响TRG的独立因素。ESCC患者分为有效组(TRG 0 + 1)和无效组(TRG 2 + 3)。较高的TRG与较短的总生存期(OS)显著相关。我们的研究还通过单因素和多因素Cox回归分析发现TRG是一个独立的预后因素(P < 0.05)。从GSE43519数据集中选择的差异表达基因GPR56、MMP9和NFIX在NCRT后显著下调(P < 0.001)。免疫组化结果显示GPR56在ESCC中高表达,而在癌旁组织中呈负表达。在癌组织和癌旁组织中表达有显著差异。GPR56表达与公共数据一致,GPR56高表达患者的OS显著缩短(P < 0.05)。此外,MPR不足和GPR56高表达的患者OS较短(P < 0.05)。结论:研究结果提示TRG是NCRT后ESCC的独立预后因素。GPR56高表达与ESCC预后不良相关。GPR56的下调与MPR分析相结合,具有潜在的重要预测价值。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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