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I-IIIA期肺鳞状细胞癌中不同类型的肿瘤微血管及其临床意义。

Different types of tumor microvessels in stage I-IIIA squamous cell lung cancer and their clinical significance.

作者信息

Senchukova Marina A, Kalinin Evgeniy A, Volchenko Nadezhda N

机构信息

Department of Oncology, Orenburg State Medical University, Orenburg 460000, Russia.

Department of Thoracic Surgery, Orenburg Regional Cancer Clinic, Orenburg 460021, Russia.

出版信息

World J Clin Oncol. 2024 May 24;15(5):614-634. doi: 10.5306/wjco.v15.i5.614.

DOI:10.5306/wjco.v15.i5.614
PMID:38835849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11145955/
Abstract

BACKGROUND

Lung cancer (LC) is the leading cause of morbidity and mortality among malignant neoplasms. Improving the diagnosis and treatment of LC remains an urgent task of modern oncology. Previously, we established that in gastric, breast and cervical cancer, tumor microvessels (MVs) differ in morphology and have different prognostic significance. The connection between different types of tumor MVs and the progression of LC is not well understood.

AIM

To evaluate the morphological features and clinical significance of tumor MVs in lung squamous cell carcinoma (LUSC).

METHODS

A single-center retrospective cohort study examined medical records and archival paraffin blocks of 62 and 180 patients with stage I-IIIA LUSC in the training and main cohorts, respectively. All patients underwent radical surgery (R0) at the Orenburg Regional Cancer Clinic from May/20/2009 to December/14/2021. Tumor sections were routinely processed, and routine Mayer's hematoxylin and eosin staining and immunohistochemical staining for cluster of differentiation 34 (CD34), podoplanin, Snail and hypoxia-inducible factor-1 alpha were performed. The morphological features of different types of tumor MVs, tumor parenchyma and stroma were studied according to clinicopathological characteristics and LUSC prognosis. Statistical analysis was performed using Statistica 10.0 software. Univariate and multivariate logistic regression analyses were performed to identify potential risk factors for LUSC metastasis to regional lymph nodes (RLNs) and disease recurrence. Receiver operating characteristic curves were constructed to discriminate between patients with and without metastases in RLNs and those with and without disease recurrence. The effectiveness of the predictive models was assessed by the area under the curve. Survival was analyzed using the Kaplan-Meier method. The log-rank test was used to compare survival curves between patient subgroups. A value of < 0.05 was considered to indicate statistical significance.

RESULTS

Depending on the morphology, we classified tumor vessels into the following types: normal MVs, dilated capillaries (DCs), atypical DCs, DCs with weak expression of CD34, "contact-type" DCs, structures with partial endothelial linings, capillaries in the tumor solid component and lymphatic vessels in lymphoid and polymorphocellular infiltrates. We also evaluated the presence of loose, fine fibrous connective tissue (LFFCT) and retraction clefts in the tumor stroma, tumor spread into the alveolar air spaces (AASs) and fragmentation of the tumor solid component. According to multivariate analysis, the independent predictors of LUSC metastasis in RLNs were central tumor location ( < 0.00001), the presence of retraction clefts ( = 0.003), capillaries in the tumor solid component ( = 0.023) and fragmentation in the tumor solid component ( = 0.009), whereas the independent predictors of LUSC recurrence were tumor grade 3 (G3) ( = 0.001), stage N2 ( = 0.016), the presence of LFFCT in the tumor stroma ( < 0.00001), fragmentation of the tumor solid component ( = 0.0001), and the absence of tumor spread through the AASs ( = 0.0083).

CONCLUSION

The results obtained confirm the correctness of our previously proposed classification of different types of tumor vessels and may contribute to improving the diagnosis and treatment of LUSC.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5978/11145955/499dddffbe8d/WJCO-15-614-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5978/11145955/b04da700b1c9/WJCO-15-614-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5978/11145955/499dddffbe8d/WJCO-15-614-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5978/11145955/b04da700b1c9/WJCO-15-614-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5978/11145955/a01bb7ba2cf8/WJCO-15-614-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5978/11145955/1042804d2850/WJCO-15-614-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5978/11145955/499dddffbe8d/WJCO-15-614-g005.jpg
摘要

背景

肺癌(LC)是恶性肿瘤中发病和死亡的主要原因。改善肺癌的诊断和治疗仍然是现代肿瘤学的一项紧迫任务。此前,我们已确定在胃癌、乳腺癌和宫颈癌中,肿瘤微血管(MVs)在形态上存在差异且具有不同的预后意义。不同类型的肿瘤微血管与肺癌进展之间的联系尚未完全明确。

目的

评估肺鳞状细胞癌(LUSC)中肿瘤微血管的形态特征及临床意义。

方法

一项单中心回顾性队列研究分别检查了训练队列和主要队列中62例和180例I-IIIA期LUSC患者的病历和存档石蜡块。所有患者于2009年5月20日至2021年12月14日在奥伦堡地区癌症诊所接受了根治性手术(R0)。对肿瘤切片进行常规处理,并进行常规的迈耶苏木精和伊红染色以及针对分化簇34(CD34)、血小板内皮细胞黏附分子、Snail和缺氧诱导因子-1α的免疫组织化学染色。根据临床病理特征和LUSC预后研究不同类型肿瘤微血管、肿瘤实质和间质的形态特征。使用Statistica 10.0软件进行统计分析。进行单因素和多因素逻辑回归分析以确定LUSC转移至区域淋巴结(RLNs)和疾病复发的潜在危险因素。构建受试者工作特征曲线以区分有无RLNs转移以及有无疾病复发的患者。通过曲线下面积评估预测模型的有效性。使用Kaplan-Meier方法分析生存率。采用对数秩检验比较患者亚组之间的生存曲线。P<0.05被认为具有统计学意义。

结果

根据形态,我们将肿瘤血管分为以下类型:正常微血管、扩张毛细血管(DCs)、非典型DCs、CD34表达较弱的DCs、“接触型”DCs、部分有内皮衬里的结构、肿瘤实体成分中的毛细血管以及淋巴样和多形细胞浸润中的淋巴管。我们还评估了肿瘤间质中疏松、细纤维结缔组织(LFFCT)和退缩裂隙的存在情况、肿瘤向肺泡气腔(AASs)的扩散以及肿瘤实体成分的破碎情况。根据多因素分析,LUSC转移至RLNs的独立预测因素为肿瘤中央位置(P<0.00001)、存在退缩裂隙(P = 0.003)、肿瘤实体成分中的毛细血管(P = 0.023)和肿瘤实体成分的破碎(P = 0.009),而LUSC复发的独立预测因素为肿瘤3级(G3)(P = 0.001)、N2期(P = 0.016)、肿瘤间质中存在LFFCT(P<0.00001)、肿瘤实体成分的破碎(P = 0.0001)以及肿瘤未通过AASs扩散(P = 0.0083)。

结论

所得结果证实了我们之前提出的不同类型肿瘤血管分类的正确性,并可能有助于改善LUSC的诊断和治疗。

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