Serum tumor markers: potential indicators for occult lymph node metastasis in clinical T1 − 2N0M0 small cell lung cancer patients

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
Xu Jiang, Meng-Wen Liu, Lei Miao, Jiu-Ming Jiang, Lin Yang, Meng Li, Li Zhang
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引用次数: 0

Abstract

In their letter-to-the-editor entitled “Letter to the Editor: Incidence rate of occult lymph node metastasis in clinical T1 − 2N0M0 small cell lung cancer patients and radiomic prediction based on contrast-enhanced CT imaging: a multicenter study”, Prof. Chen et al. provided insightful comments and suggestions on our original study. We appreciate the authors’ feedback and have conducted a preliminary exploration of the predictive value of serum tumor markers (TMs) for occult lymph node metastasis (OLM) in clinical T1 − 2N0M0 (cT1 − 2N0M0) small cell lung cancer (SCLC) patients. The results indicate that neuron-specific enolase (NSE), carbohydrate antigen 125 (CA125), and squamous cell carcinoma antigen (SCC) have potential predictive value for detecting OLM in cT1 − 2N0M0 SCLC patients. Additionally, further exploration and confirmation through prospective, large-scale studies with robust external validation are needed.
血清肿瘤标志物:临床 T1 - 2N0M0 小细胞肺癌患者隐匿性淋巴结转移的潜在指标
在题为 "致编辑的信:临床T1 - 2N0M0小细胞肺癌患者隐匿性淋巴结转移发生率及基于对比增强CT成像的放射学预测:一项多中心研究 "的编辑信中,陈教授等对我们的原始研究提出了独到的意见和建议。我们非常感谢作者的反馈意见,并初步探讨了血清肿瘤标志物(TMs)对临床T1 - 2N0M0(cT1 - 2N0M0)小细胞肺癌(SCLC)患者隐匿性淋巴结转移(OLM)的预测价值。结果表明,神经元特异性烯醇化酶(NSE)、碳水化合物抗原125(CA125)和鳞状细胞癌抗原(SCC)对检测cT1 - 2N0M0 SCLC患者的淋巴结转移具有潜在的预测价值。此外,还需要通过前瞻性的大规模研究和强有力的外部验证来进一步探索和确认。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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