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FAM83A 表达水平升高预示肺腺癌患者临床预后不良。

Elevated FAM83A expression predicts poorer clincal outcome in lung adenocarcinoma.

机构信息

Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of University of Science and Technology of China, Hefei, Anhui, China.

出版信息

Cancer Biomark. 2019;26(3):367-373. doi: 10.3233/CBM-190520.


DOI:10.3233/CBM-190520
PMID:31594212
Abstract

BACKGROUND: Family with sequence similarity 83 member A (FAM83A) can promote tumor cell proliferation and facilitate epidermal growth factor tyrosine kinase inhibitor resistance in some malignant tumors, but its role in lung cancer has not been directly explored. OBJECTIVE: We investigated FAM83A expression in lung adenocarcinoma (LUAD) and its significance in clinicopathologic characteristics and prognosis of the disease. PATIENTS AND METHODS: We analyzed the mRNA expression of FAM83A in LUAD and normal (or adjacent) lung tissues from Oncomine database firstly. Then, we detected FAM83A protein expression in five paired fresh LUAD and adjacent lung tissue specimens from patients in our hospital by Western blotting. In addtion, FAM83A expression in 86 paraffin-embedded archived LUAD samples was evaluated by Immunohistochemistry, and the correlations between FAM83A expression and clinicopathologic characteristics and prognosis of the patients were analyzed. RESULTS: Oncomine data analysis manifested that FAM83A mRNA expression was increased in LUAD. Western blotting revealed higher FAM83A expression in fresh LUAD tissues than in the adjacent lung tissues (P= 0.036). Immunohistochemistry analysis on 86 paraffin samples further demonstrated that the LUAD tissue had higher FAM83A expression than adjacent lung tissue (P< 0.001). The correlation analysis revealed that advanced stage tumors (stage III-IV) had higher FAM83A expression than early stage tumors (stage I-II) (P= 0.004). High FAM83A expression was significantly associated with lymphnode involvement and clinical staging (P= 0.008 and 0.008 respectively). Univariate and multivariate Cox regression analysis manifested that FAM83A expression was an independent predictive factor for poor survival. Kaplan-Meier survival curves showed that patients with higher FAM83A expression had shorter overall survival than those with lower FAM83A expressions (P= 0.002). CONCLUSION: FAM83A is upregulated in advanced LUAD and is related to unfavorible prognosis. FAM83A might be a novel diagnostic and prognositic biomarker for LUAD.

摘要

背景:家族序列相似性 83 成员 A(FAM83A)可促进某些恶性肿瘤中的肿瘤细胞增殖并促进表皮生长因子酪氨酸激酶抑制剂耐药,但它在肺癌中的作用尚未被直接探索。

目的:我们研究了 FAM83A 在肺腺癌(LUAD)中的表达及其在疾病的临床病理特征和预后中的意义。

患者和方法:我们首先通过 Oncomine 数据库分析了 FAM83A 在 LUAD 和正常(或相邻)肺组织中的 mRNA 表达。然后,我们通过 Western blot 检测了来自我院的五对新鲜 LUAD 和相邻肺组织标本中 FAM83A 蛋白的表达。此外,通过免疫组织化学评估了 86 例石蜡包埋存档 LUAD 样本中 FAM83A 的表达,并分析了 FAM83A 表达与患者临床病理特征和预后的相关性。

结果:Oncomine 数据分析显示,FAM83A mRNA 在 LUAD 中表达增加。Western blot 显示新鲜 LUAD 组织中 FAM83A 表达高于相邻肺组织(P=0.036)。对 86 例石蜡样本的免疫组织化学分析进一步表明,LUAD 组织中 FAM83A 的表达高于相邻肺组织(P<0.001)。相关性分析显示,晚期肿瘤(III-IV 期)的 FAM83A 表达高于早期肿瘤(I-II 期)(P=0.004)。高 FAM83A 表达与淋巴结受累和临床分期显著相关(P=0.008 和 0.008)。单因素和多因素 Cox 回归分析表明,FAM83A 表达是不良预后的独立预测因素。Kaplan-Meier 生存曲线显示,FAM83A 表达较高的患者总生存期短于 FAM83A 表达较低的患者(P=0.002)。

结论:FAM83A 在晚期 LUAD 中上调,并与不良预后相关。FAM83A 可能是 LUAD 的一种新的诊断和预后生物标志物。

相似文献

[1]
Elevated FAM83A expression predicts poorer clincal outcome in lung adenocarcinoma.

Cancer Biomark. 2019

[2]
Overexpression of Family with Sequence Similarity 83, Member A (FAM83A) Predicts Poor Clinical Outcomes in Lung Adenocarcinoma.

Med Sci Monit. 2019-6-8

[3]
FAM83A drives PD-L1 expression via ERK signaling and FAM83A/PD-L1 co-expression correlates with poor prognosis in lung adenocarcinoma.

Int J Clin Oncol. 2020-5-19

[4]
Is a Prognosis Signature and Potential Oncogene of Lung Adenocarcinoma.

DNA Cell Biol. 2020-4-13

[5]
Overexpression of CENPF is associated with progression and poor prognosis of lung adenocarcinoma.

Int J Med Sci. 2021

[6]
Increased expression of TTC21A in lung adenocarcinoma infers favorable prognosis and high immune infiltrating level.

Int Immunopharmacol. 2019-12-5

[7]
Elevated PHD2 expression might serve as a valuable biomarker of poor prognosis in lung adenocarcinoma, but no lung squamous cell carcinoma.

Eur Rev Med Pharmacol Sci. 2018-12

[8]
Overexpression of FAM83A Is Associated with Poor Prognosis of Lung Adenocarcinoma.

J Oncol. 2022-10-5

[9]
The High Expression of PTPRH Is Associated with Poor Prognosis of Human Lung Adenocarcinoma.

Comput Math Methods Med. 2021

[10]
Prognostic value of SEC61G in lung adenocarcinoma: a comprehensive study based on bioinformatics and in vitro validation.

BMC Cancer. 2021-11-13

引用本文的文献

[1]
The complex role and molecular mechanism of family with sequence similarity genes in cancer: a comprehensive review.

Discov Oncol. 2025-7-30

[2]
Single-Cell Transcriptomic Profiling Reveals KRAS/TP53-Driven Neutrophil Reprogramming in Luad: A Multi-Gene Prognostic Model and Therapeutic Targeting of RHOV.

Oncol Res. 2025-5-29

[3]
A Novel DNA Repair-Gene Model to Predict Responses to Immunotherapy and Prognosis in Patients With EGFR-Mutant Non-Small Cell Lung Cancer.

Thorac Cancer. 2025-2

[4]
Family with sequence similarity 83, member A (FAM83A) inhibits ferroptosis via the Wnt/β-catenin pathway in lung squamous cell cancer.

Cell Death Discov. 2024-7-20

[5]
Diagnostic value of immune-related biomarker FAM83A in differentiating malignant from benign pleural effusion in lung adenocarcinoma.

Discov Oncol. 2024-6-24

[6]
High-risk histological subtype-related FAM83A hijacked FOXM1 transcriptional regulation to promote malignant progression in lung adenocarcinoma.

PeerJ. 2023

[7]
Machine-learning and combined analysis of single-cell and bulk-RNA sequencing identified a DC gene signature to predict prognosis and immunotherapy response for patients with lung adenocarcinoma.

J Cancer Res Clin Oncol. 2023-11

[8]
A Comprehensive Analysis of the Effects of Key Mitophagy Genes on the Progression and Prognosis of Lung Adenocarcinoma.

Cancers (Basel). 2022-12-22

[9]
Establishment of lung adenocarcinoma classification and risk model based on necroptosis-related genes.

Front Genet. 2022-11-14

[10]
Machine learning and BP neural network revealed abnormal B cell infiltration predicts the survival of lung cancer patients.

Front Oncol. 2022-10-11

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