宫颈癌免疫图谱中的淋巴管浸润和肿瘤相关巨噬细胞分析

IF 2.7 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY OncoTargets and therapy Pub Date : 2024-11-20 eCollection Date: 2024-01-01 DOI:10.2147/OTT.S468484
Liming Guan, Xuexiang Xu, Junhao Xu, Gang Xu, Yunzhu Zhang, Haitao Xia
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引用次数: 0

摘要

背景:淋巴管浸润(LVI)状态的准确检测可指导宫颈癌手术范围的准确确定,但LVI会降低患者的总生存率(OS),且不易通过苏木精-伊红(H&E)染色检测出来。肿瘤相关巨噬细胞(TAMs)在这一过程中的作用尚未明确:方法:早期宫颈癌患者接受碳纳米粒子前哨淋巴结造影、开腹盆腔淋巴结清扫术和根治性子宫切除术。切除的标本采用超声造影、双重免疫组化(IHC)染色、流式细胞术和 Western 印迹分析法进行分析。从基因表达总库(Gene Expression Omnibus)中获取并分析了宫颈癌的单细胞数据:结果:与 H&E 染色相比,碳纳米粒子绘图、超声成像和双重 IHC 染色的整合提高了肿瘤 LVI 的检测率(41.8% [41/98] vs. 20.4% [20/98],P=0.046)。当血管浸润灶的数量大于两个时,与OS呈负相关(PPP=0.0024),加之在Western印迹分析中,肿瘤LVI阳性组的MMP2、SPARC和GNLY蛋白表达较高,患者的OS相应下降。单细胞数据显示,M1:M2比例显著下降,同时M2 TAM相关基因表达较高。M1 TAM的免疫监视和抗免疫逃逸评分明显高于M2 TAM。GO和KEGG分析表明,从癌前病变到宫颈癌,M2 TAM的活性都在增加:结合不同方法可准确判断肿瘤的 LVI 状态,指导精确的手术范围,改善宫颈癌患者的预后。宫颈癌中M2 TAM活性增加,形成了免疫抑制环境,TAM相关基因可能是判断宫颈癌LVI的良好标记物,并可作为免疫治疗的潜在靶点。
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Analysis of Lymphovascular Infiltration and Tumor-Associated Macrophages in Cervical Cancer Immunoescape.

Background: Exact detection of lymphovascular infiltration (LVI) status can guide accurate surgical operation scope in cervical cancer, but LVI reduces the overall survival (OS) of patients and is not easily detected by hematoxylin-eosin (H&E) staining. The role of tumor-associated macrophages (TAMs) in this process is not well defined.

Methods: Early-stage cervical cancer patients received carbon nanoparticles for sentinel lymph-node mapping, laparotomy pelvic lymph-node dissection, and radical hysterectomy. The excised specimens were analyzed using ultrastaging, double immunohistochemical (IHC) staining, flow cytometry, and Western blot analysis. Single-cell data from the Gene Expression Omnibus for cervical cancer were obtained and analyzed.

Results: The integration of carbon nanoparticle mapping, ultrastaging, and double IHC staining enhanced the detection of tumor LVI over H&E staining (41.8% [41/98] vs. 20.4% [20/98], P=0.046). When the number of vascular invasion foci was greater than two, there was a negative correlation with OS (P<0.05). More M2 TAMs emerged surrounding the tumor vasculature labeled by double IHC staining, accompanied by a higher M2:M1 ratio detected with flow cytometry (P<0.05). M2 TAM numbers were positively correlation with the degree of tumor LVI (P=0.0024), combined with higher protein expression of MMP2, SPARC, and GNLY in the tumor LVI-positive group on Western blot analysis, and the OS of the patients decreased accordingly. Single-cell data showed that the M1:M2 ratio decreased significantly, accompanied by higher M2 TAM-related gene expression. Immunosurveillance and anti-immunoescape scores for M1 were obviously higher than for M2 TAMs. GO and KEGG analysis showed M2 TAM activity increased from precancerous lesions to cervical cancer.

Conclusion: Combining different methods may accurately determine tumor LVI status, guide exact surgical operation scope, and improve cervical cancer patient outcomes. M2 TAM activity increased in cervical cancer, forming an immunosuppressive environment, TAM-related genes could be good markers in determining cervical cancer LVI and serve as potential targets for immunotherapy.

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来源期刊
OncoTargets and therapy
OncoTargets and therapy BIOTECHNOLOGY & APPLIED MICROBIOLOGY-ONCOLOGY
CiteScore
9.70
自引率
0.00%
发文量
221
审稿时长
1 months
期刊介绍: OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer. The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype. Specific topics covered by the journal include: -Novel therapeutic targets and innovative agents -Novel therapeutic regimens for improved benefit and/or decreased side effects -Early stage clinical trials Further considerations when submitting to OncoTargets and Therapy: -Studies containing in vivo animal model data will be considered favorably. -Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines. -Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples. -Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Single nucleotide polymorphism (SNP) studies will not be considered.
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