表现为磨玻璃结节的肺腺癌的自然病程、病理特性与 Ki-67 表达之间的相关性

IF 2.9 2区 医学 Q2 ONCOLOGY
Cancer Medicine Pub Date : 2024-11-05 DOI:10.1002/cam4.70390
Shaohui Huang, Huanhuan Zhou, Chenchen Lin, Ziqi Wang, Lijun Shen, Ya Sun, Meihui Wei, Zhiwei Xu, Xiaoju Zhang
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引用次数: 0

摘要

背景:随着肺癌筛查的日益普及,磨玻璃结节(GGN)的检出率也在上升。然而,GGN 的自然病程及其与病理特征的关系仍不清楚。根据 GGN 的生长情况来区分浸润性病灶和浸润前病灶可改善临床干预时机。Ki-67是一种增殖标记物,在评估肿瘤恶性程度方面具有重要价值。本研究分析了GGN生长、病理和Ki-67表达之间的关联,以期为早期肺癌的治疗提供新的见解:我们回顾性评估了 183 个至少有两次术前 CT 扫描的 GGN。比较了浸润性腺癌(IAC)组与 IAC 前组的结节位置、类型、自然病程和体积倍增时间(VDT)。我们还评估了 Ki-67 表达的差异,并将 VDT 与 Ki-67 水平相关联:IAC组和IAC前组在性别、结节位置、吸烟史和随访时间上没有差异,而年龄在两组之间存在统计学差异。在 183 个结节中,52 个出现生长,主要病理类型为 IAC,这些 IAC 在结节类型上表现出更多的 PSN,而 IAC 组在结节类型、结节生长和 VDT 上的差异比 IAC 前组更显著。不同Ki-67表达组的病理类型和VDT也存在差异,Ki-67表达随着VDT的降低而逐渐增加:结论:以 GGNs 为表现形式的肺腺癌(LUAD)在不同病理亚型中表现出不同的自然病程。VDT可有效区分这些生长特征,其中IAC的VDT较短。VDT与Ki-67表达之间的显着相关性表明,将这些参数结合起来可为了解LUAD的生物学行为和侵袭性提供有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Correlation Between the Natural Course, Pathologic Properties With Ki-67 Expression in Lung Adenocarcinoma Presenting as Ground-Glass Nodules

The Correlation Between the Natural Course, Pathologic Properties With Ki-67 Expression in Lung Adenocarcinoma Presenting as Ground-Glass Nodules

Background

With the increasing use of lung cancer screening, the detection of ground glass nodules (GGNs) has risen. However, the natural course of GGNs and their relationship to pathologic features remains unclear. Differentiating between invasive and pre-invasive lesions based on GGN growth may improve clinical intervention timing. Ki-67, a proliferation marker, holds value in assessing tumor malignancy. This study analyzes the association between GGN growth, pathology, and Ki-67 expression to provide new insights into early-stage lung cancer management.

Methods

We retrospectively evaluated 183 GGNs with at least two preoperative CT scans. Nodule location, type, natural course, and volume doubling time (VDT) were compared between invasive adenocarcinoma (IAC) and pre-IAC groups. We also assessed differences in Ki-67 expression and correlated VDT with Ki-67 levels.

Results

A total of 183 nodules were finally included; gender, nodule location, smoking history, and duration of follow-up did not differ between the IAC group and the pre-IAC group, whereas age was statistically different between the two groups. Of the 183 nodules, 52 showed growth and the predominant pathologic type was IAC, these IACs showed more PSN in nodule type, while the IAC group showed more significant differences in nodule type, nodules growth, and VDT than the pre-IAC group. There were also differences in pathologic type and VDT between different Ki-67 expression groups, and Ki-67 expression gradually increased as VDT decreased.

Conclusion

Lung adenocarcinoma (LUAD) presenting as GGNs exhibit distinct natural courses among pathologic subtypes. VDT effectively distinguishes these growth characteristics, with IACs showing shorter VDT. The significant correlation between VDT and Ki-67 expression suggests that combining these parameters may provide valuable insights into the biological behavior and invasiveness of LUAD.

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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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