切换至 "中华医学电子期刊资源库"

中华肺部疾病杂志(电子版) ›› 2026, Vol. 19 ›› Issue (05) : 737 -744. doi: 10.3877/cma.j.issn.1674-6902.2026.05.004

论著

基于TCGA数据库慢性阻塞性肺疾病合并肺癌患者差异基因筛选及PI3K/AKT信号通路机制分析
王家瑞1, 罗芮1, 毕周奎1, 廖晨1, 徐智1, 李亚斐2, 白莉1,†()   
  1. 1400037 重庆,陆军(第三)军医大学第二附属医院呼吸与危重症医学中心
    2400030 重庆,陆军(第三)军医大学流行病学教研室
  • 收稿日期:2026-04-28 出版日期:2026-10-25
  • 通信作者: 白莉
  • 基金资助:
    重庆市科卫联合医学科研重点项目(2022ZDXM023); 新桥医院临床专项基金(2024F042)

Screening of differentially expressed genes and mechanism analysis of the PI3K/AKT signaling pathway in lung cancer patients complicated with chronic obstructive pulmonary disease based on TCGA database

Jiarui Wang1, Rui Luo1, Zhoukui Bi1, Chen Liao1, Zhi Xu1, Yafei Li2, Li Bai1,†()   

  1. 1Respiratory and Critical Care Medicine Center, Xinqiao Hospital, Second Affiliated Hospital, Army Medical University, Chongqing 400030, China
    2Department of Epidemiology, Army Medical University, Chongqing 400030, China
  • Received:2026-04-28 Published:2026-10-25
  • Corresponding author: Li Bai
引用本文:

王家瑞, 罗芮, 毕周奎, 廖晨, 徐智, 李亚斐, 白莉. 基于TCGA数据库慢性阻塞性肺疾病合并肺癌患者差异基因筛选及PI3K/AKT信号通路机制分析[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(05): 737-744.

Jiarui Wang, Rui Luo, Zhoukui Bi, Chen Liao, Zhi Xu, Yafei Li, Li Bai. Screening of differentially expressed genes and mechanism analysis of the PI3K/AKT signaling pathway in lung cancer patients complicated with chronic obstructive pulmonary disease based on TCGA database[J/OL]. Chinese Journal of Lung Diseases(Electronic Edition), 2026, 19(05): 737-744.

目的

解析慢性阻塞性肺疾病(chronic obstructive pulmonary disease, COPD)合并肺癌共病患者的分子特征与核心通路,为共病精准诊疗提供理论依据。

方法

从癌症基因组图谱数据库(the cancer genome atlas, TCGA)获取肺腺癌(lung adenocarcinoma, LUAD)和肺鳞癌(lung squamous cell carcinoma, LUSC)患者共375例基因表达数据及临床信息,筛选肺癌合并COPD 65例为合并COPD组,肺癌未合并COPD 310例为未合并COPD组。采用TPM标准化并log2(TPM+1)转换,Limma算法(FDR<0.05)筛选差异表达基因(DEG);行GO/KEGG富集分析;查询DEG在IRIS、ImmPort、Immunome、InnateDB、Reactome 5个免疫数据库中的收录及重叠情况。

结果

两组年龄、性别、种族、肿瘤分期、其他癌症史差异无统计学意义;吸烟史和病理类型差异有统计学意义(P<0.05)。生存分析合并COPD组50例、未合并COPD组286例,剔除极端值(≤0 d)25例,删失比17.33%;调整性别、吸烟史、既往恶性肿瘤史和年龄前后,COPD状态与肺癌患者生存率无显著关联(调整前:HR=1.069,P=0.826;调整后:HR=0.826,P=0.560),总生存期无显著差异(P=0.5598);375例中未合并COPD组死亡42例(13.55%),合并COPD组死亡15例(23.08%),P=0.052,呈边缘统计学趋势。DEG筛选出140个差异转录本。KEGG富集显示:显著富集于5条通路(P<0.05),包括PI3K/AKT信号通路(9个基因)、黏着斑(7个)、细胞外基质-受体相互作用(5个)、人乳头瘤病毒感染(9个)、肌细胞骨架(8个);FGF1单独特异富集于PI3K/AKT信号通路;PDGFC富集于黏着斑与PI3K/AKT信号通路2条通路;PDGFRB富集于人乳头瘤病毒感染、黏着斑与PI3K/AKT信号通路3条通路;PDGFC、PDGFRB、LAMB2、ITGA10、COL6A2、COL9A2、COMP共7个基因同时富集于黏着斑与PI3K/AKT信号通路。GO富集显示:BP层面无显著富集差异;CC层面显著富集于细胞外基质(P=1.3×10-6)、含胶原细胞外基质(P=2.6×10-6)、细胞外区域(P=2.0×10-4,富集25个DEG,包括CCL17、PDGFC);MF层面显著富集于胶原结合(P=2.6×10-5)、细胞外基质结构组成(P=3.2×10-5)。免疫数据库验证:去重后共收录46个DEG;CCL17同时被IRIS、ImmPort、Immunome、InnateDB 4个数据库收录;ETS1被3个数据库收录;LITAF、PDGFRB、ENTPD1各被3个数据库收录;C1QTFN1被2个数据库收录;40个基因仅被单一数据库收录。FGF1在合并COPD组中显著下调;PDGFC/PDGFRB显著高表达;CCL17差异表达(logFC=-0.7862,P=0.0014)。

结论

PI3K/AKT信号通路及FGF1、PDGFC/PDGFRB、CCL17可能是COPD合并肺癌发生发展的潜在关键靶点,可为共病精准诊疗提供新思路。

Objective

To elucidate the molecular characteristics and core pathways of chronic obstructive pulmonary disease(COPD) in lung cancer patients, thereby providing a theoretical basis for precision diagnosis and treatment of this comorbidity.

Methods

Gene expression data and clinical information were obtained from The Cancer Genome Atlas (TCGA) database for a total of 375 patients with lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Of these, 65 patients with lung cancer and comorbid COPD constituted the COPD-comorbid group, and 310 patients with lung cancer without COPD constituted the non-COPD group. differentially expressed genes (DEGs) were identified using the Limma algorithm (FDR<0.05) after TPM normalization and log transformation. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were then performed to identify biological pathways related to COPD, and the inclusion of the DEGs in, and their overlap across, five immunological databases (IRIS, ImmPort, Immunome, InnateDB, and Reactome) were used to distinguish immunological-related DEGs.

Results

No statistically significant differences were observed between the two groups in age, sex, race, tumor stage, or history of other cancers, whereas smoking history and pathological type differed significantly (P<0.05). Survival analysis included 50 patients in the COPD-comorbid group and 286 patients in the non-COPD group; after exclusion of 25 patients with extreme values (≤0 d), the censoring rate was 17.33%. Both before and after adjustment for sex, smoking history, history of prior malignancy, and age, COPD status was not significantly associated with survival in patients with lung cancer (unadjusted: HR=1.069, P=0.826; adjusted: HR=0.826, P=0.560), and overall survival did not differ significantly (P=0.5598). Among the 375 patients, 42 deaths (13.55%) occurred in the non-COPD group and 15 deaths (23.08%) in the COPD-comorbid group (P=0.052), indicating a borderline statistical trend. DEG screening identified 140 differentially expressed transcripts. KEGG enrichment analysis showed significant enrichment in five pathways (P<0.05), namely the PI3K/AKT signaling pathway (9 genes), focal adhesion (7 genes), extracellular matrix (ECM)-receptor interaction (5 genes), human papillomavirus infection (9 genes), and regulation of the actin cytoskeleton (8 genes). FGF1 was uniquely and specifically enriched in the PI3K/AKT signaling pathway; PDGFC was enriched in two pathways, focal adhesion and the PI3K/AKT signaling pathway; PDGFRB was enriched in three pathways, human papillomavirus infection, focal adhesion, and the PI3K/AKT signaling pathway; and a total of seven genes-PDGFC, PDGFRB, LAMB2, ITGA10, COL6A2, COL9A2, and COMP -were simultaneously enriched in both focal adhesion and the PI3K/AKT signaling pathway. GO enrichment analysis showed no significant enrichment at the biological process (BP) level; at the cellular component (CC) level, significant enrichment was observed in the extracellular matrix (P=1.3×10-6), collagen-containing extracellular matrix (P=2.6×10-6), and extracellular region (P=2.0×10-4, with 25 DEGs enriched, including CCL17 and PDGFC); and at the molecular function (MF) level, significant enrichment was observed in collagen binding (P=2.6×10-5) and extracellular matrix structural constituent (P=3.2×10-5). By checking immunological databases, a total of 46 DEGs were recorded: CCL17 was simultaneously recorded in four databases (IRIS, ImmPort, Immunome, and InnateDB); ETS1 was recorded in three databases; LITAF, PDGFRB, and ENTPD1 were each recorded in three databases; C1QTFN1 was recorded in two databases; and 40 genes were recorded in only a single database. FGF1 was significantly downregulated in the COPD-comorbid group; PDGFC/PDGFRB were significantly overexpressed; and CCL17 was differentially expressed (log2FC=-0.7862, P=0.0014).

Conclusion

The PI3K/AKT signaling pathway, together with FGF1, PDGFC/PDGFRB, and CCL17, may represent potential key targets in the development and progression of COPD comorbid with lung cancer, offering new insights for the precision diagnosis and treatment of this comorbidity.

图1 研究对象筛选流程图注:TCGA为癌症基因组图谱数据库;LAUD为肺腺癌;LUSC为肺鳞癌;COPD为慢性阻塞性肺疾病;LC为肺癌;Yes/No为是/否
表1 两组患者基线资料结果比较
表2 差异表达基因GO/KEGG富集分析结果
图2 差异表达基因与KEGG通路的富集关联热图注:深蓝色方块表示基因富集于该通路,浅灰色方块表示未富集。hsa04820为肌细胞细胞骨架;hsa04512为细胞外基质-受体相互作用;hsa04510为黏着斑;hsa05165为人乳头瘤病毒感染;hsa04151为PI3K-Akt信号通路。LMOD1为平滑肌蛋白1;FBN1为原纤维蛋白1;BGN为双糖链蛋白聚糖;TPM1为原肌球蛋白1;NOTCH4为Notch受体4;FZD8为卷曲蛋白受体8;FGF1为成纤维细胞生长因子1;PDGFC为血小板衍生生长因子C;TSC2为TSC复合体亚基2;PDGFRB为血小板衍生生长因子受体β;LAMB2为层粘连蛋白亚基β2;ITGA10为整合素亚基α10;COL6A2为Ⅳ型胶原α2链;COL9A2为Ⅸ型胶原α2链;COMP为软骨寡聚基质蛋白
图3 差异表达基因细胞组分(CC)富集热图注:深蓝色方块表示基因富集于该细胞组分,浅灰色方块表示未富集。GO:0031012为细胞外基质;GO:0062023为含胶原细胞外基质;GO:0005576为细胞外区域。SCT为分泌素;C1QTNF1为C1q和肿瘤坏死因子相关蛋白1;ST3GAL2为β-半乳糖苷α-2,3-唾液酸转移酶2;CCL17为C-C基序趋化因子配体17;PDGFC为血小板衍生生长因子C;ENPP1为外核苷酸焦磷酸酶/磷酸二酯酶1;NXPH3为神经外嗜蛋白3;VSTM2L为V-set和跨膜结构域蛋白2样;NOTCH4为Notch受体4;PKDCC为胞质蛋白激酶结构域蛋白;FBLN7为腓骨蛋白7;ADAMTS7为含血小板反应蛋白1型基序7的ADAM金属肽酶;FGF1为成纤维细胞生长因子1;LAMB2为层粘连蛋白亚基β2;COL9A2为Ⅸ型胶原α2链;IGFBP7为胰岛素样生长因子结合蛋白7;AEBP1为AE绑定蛋白1;LOXL1为赖氨酰氧化酶样蛋白1;ADAMTS10为含血小板反应蛋白1型基序10的ADAM金属肽酶;COL6A2为Ⅵ型胶原α2链;TGM2为转谷氨酰胺酶2;LTBP2为潜在转化生长因子β结合蛋白2;FBN1为原纤维蛋白1;COMP为软骨寡聚基质蛋白;BGN为双糖链蛋白聚糖
表3 差异表达基因在免疫数据库中收录与重叠情况
1
Xu J, Zeng Q, Li S, et al. Inflammation mechanism and research progress of COPD[J]. Front Immunol, 2024, 15: 1404615.
2
陈典,隆寰宇,褚岚和,等. 2026年GOLD慢性阻塞性肺疾病诊断、治疗、管理及预防全球策略更新要点解读[J].中国全科医学,2026, 29(21): 2913-2932.
3
Chen D, Long HY, Zhang CX, et al. Interpretation of key updates in the 2025 GOLD Global Strategy for the Diagnosis, Treatment, Management and Prevention of Chronic Obstructive Pulmonary Disease[J]. Chin Gen Pract, 2025, 28(16): 1937-1949.
4
Safiri S, Carson-Chahhoud K, Noori M, et al. Burden of chronic obstructive pulmonary disease and its attributable risk factors in 204 countries and territories, 1990-2019: results from the Global Burden of Disease Study 2019[J]. BMJ, 2022, 378: e069679.
5
Thawanaphong S, Nair P. Contemporary concise review 2024: chronic obstructive pulmonary disease[J]. Respirology, 2025, 30(7): 574-586.
6
田昊,赵彦程,胡洁,等. 肺癌合并慢性阻塞性肺疾病的免疫治疗研究进展 [J]. 中华结核和呼吸杂志,2024, 47 (1): 70-74.
7
高瞻,唐莎莎,秦蘅,等. 慢性阻塞性肺疾病合并肺癌的临床特征及危险因素分析[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(5): 685-690.
8
白莹,马娟,吕欣,等. 慢性阻塞性肺疾病合并肺癌临床特征分析[J/OL]. 中华肺部疾病杂志(电子版), 2021, 14(3): 265-271.
9
Liao K, Yang D, Jin L, et al. Bidirectional mendelian randomization and single-cell sequencing reveal T cell-mediated causal links between COPD and lung adenocarcinoma[J]. Int J Surg, 2025, doi:10.1097/JS9.0000000000002448
10
赵延辉,陈少康,翟丽维,等. RNA-seq数据差异表达分析流程比较[J]. 中国农业大学学报,2023, 28(6): 153-159.
11
Abbas AR, Baldwin D, Ma Y, et al. Immune response in silico (IRIS):immune-specific genes identified from a compendium of microarray expression data[J]. Genes Immun, 2005, 6(4): 319-331.
12
胡拯涌,周伟,王安然,等. 免疫学数据库和分析门户ImmPort建设经验与启示[J]. 医学信息学杂志,2024, 45(8): 20-27.
13
Korb M, Rust AG, Thorsson V, et al. The Innate Immune Database (IIDB)[J]. BMC Immunol, 2008, 9: 7.
14
Milacic M, Beavers D, Conley P, et al. The Reactome Pathway Knowledgebase 2024[J]. Nucl Acids Res, 2024, 52(D1): D672-D678.
15
Wang Z, Cao W, You Z, et al. Factors influencing the prevalence and death rate of COPD: a pan-database ecological study covering 201 countries and regions from 1990 to 2021[J]. E Clin Med, 2025, 86: 103347.
16
Sabour Ryan, Bharucha Mahnur, Gandhi Rhea, et al. Reliability of electronic medical record to assess patient's eligibility for lung cancer screening[J]. J Am Coll Radiol, 2025, 22(12): 1500-1509.
17
Prochazka Michaela, Hall Per, Granath Fredrik, Set al. Validation of smoking history in cancer patients[J]. Acta Oncologica, 2008, 47: 1004-1008.
18
Zou X, Jia M, Wang X, et al. Changing epidemic of lung cancer & tobacco and situation of tobacco control in China[J]. Zhongguo Fei Ai Za Zhi, 2017, 20(8): 505-510.
19
毕周奎,单亦凡,张文静,等. 合并慢性阻塞性肺疾病对晚期非小细胞肺癌患者免疫治疗的影响[J]. 陆军军医大学学报,2023, 45(11): 1189-1196.
20
Stark A-K, Sriskantharajah S, Hessel EM, et al. PI3K inhibitors in inflammation, autoimmunity and cancer[J]. Curr Opin Pharmacol, 2015, 23: 82-91.
21
Heller S, Glaeske S, Gluske K, et al. Pan-PI3K inhibition with copanlisib overcomes Treg- and M2-TAM-mediated immune suppression and promotes anti-tumor immune responses[J]. Clin Exp Med, 2023, 23: 5445-5461.
22
Zhu X, Li Y, Liu H, et al. FN1 from cancer-associated fibroblasts orchestrates pancreatic cancer metastasis via integrin-PI3K/AKT signaling[J]. Front Oncol, 2025, 15: 1595523.
23
Sotty J, Garçon G, Denayer F-O, et al. Toxicological effects of ambient fine (PM2.5-0.18) and ultrafine (PM0.18) particles in healthy and diseased 3D organotypic mucociliary-phenotype models[J]. Environ Res, 2019, 177: 108538.
24
Wu D, Yang BY, Chen JS, et al. Upregulation of long non-coding RNA RAB1A-2 induces FGF1 expression worsening lung cancer prognosis[J]. Cancer Lett, 2018, 436: 108-116.
25
De Torres JP, Marín JM, Casanova C, et al. Lung cancer in patients with chronic obstructive pulmonary disease: incidence and predicting factors[J]. Am J Respir Crit Care Med, 2011, 184(10): 1133-1140.
26
Akiyama T, Yasuda T, Uchihara T, et al. Stromal reprogramming through dual PDGFRα/β blockade boosts the efficacy of anti-PD-1 immunotherapy in fibrotic tumors[J]. Cancer Res, 2023, 83(5): 753-770.
27
Krabbe J, Steffens KM, Drießen S, et al. Lung cancer risk and occupational pulmonary fibrosis: systematic review and meta-analysis[J]. Eur Respir Rev, 2024, 33(171): 230224.
28
Machida H, Inoue S, Shibata Y, et al. Thymus and activation-regulated chemokine (TARC/CCL17) predicts decline of pulmonary function in patients with chronic obstructive pulmonary disease[J]. Allergol Int, 2021, 70(1): 81-88.
29
Machida H, Inoue S, Igarashi A, et al. Role of CC chemokine ligand 17 in mouse models of chronic obstructive pulmonary disease[J]. Am J Respir Cell Mol Biol, 2022, 66(4): 428-438.
30
Xu H, Wang J, Al-Nusaif M, et al. CCL2 promotes metastasis and epithelial-mesenchymal transition of non-small cell lung cancer via PI3K/Akt/mTOR and autophagy pathways[J]. Cell Prolif, 2024, 57(3): e13560.
[1] 沈树娜, 沈婕, 林元, 邓森灵, 郑华玲. miR-383靶向调控sFlt-1介导PI3K/Akt信号通路在子痫前期发生中的作用机制[J/OL]. 中华妇幼临床医学杂志(电子版), 2026, 22(04): 344-353.
[2] 李亚春, 李满. 磷脂酰肌醇-3激酶/蛋白激酶B信号通路在骨骼肌损伤修复中的研究进展[J/OL]. 中华损伤与修复杂志(电子版), 2026, 21(04): 315-319.
[3] 吴皎卿, 石进涛, 胡玉萍, 蒲嘉泽, 张长文, 李甜甜, 张莹, 卞春安, 陈豪, 杨玉春. 术前睡眠监测参数及血清NfL与慢性阻塞性肺疾病合并肺癌患者术后谵妄的相关性分析[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(04): 651-656.
[4] 陶俊, 黄敏洁, 陈香, 曹磊, 徐俊伟. 炎性复合指标对慢性阻塞性肺疾病并发心房颤动风险的预测价值[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(04): 657-662.
[5] 乔山青, 张凤凯, 方剑, 张宏江, 薛瑞. 艾司氯胺酮联合胸腔镜引导胸椎旁阻滞对肺癌肺叶切除术后恢复与镇痛药物用量的影响[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(04): 663-669.
[6] 张静文, 马静, 杨轲, 贺晶, 王萍. 全程系统化肺康复管理在肺癌合并COPD患者单孔胸腔镜肺叶切除术中的应用研究[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(04): 680-683.
[7] 何冬雪, 吴红梅, 李建洁, 王爽. 可穿戴设备在慢性阻塞性肺疾病患者全程规范化管理中的应用现状与研究进展[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(04): 691-695.
[8] 凌煜滢, 杜丽. 慢性阻塞性肺疾病合并肝纤维化的研究进展[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(04): 701-704.
[9] 陈典刚, 王欣欣, 黄露, 刘博. 基于单细胞RNA测序整合分析揭示肺腺癌肿瘤细胞恶性增殖的转录调控网络分析[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(04): 542-551.
[10] 王亚林, 曹东, 黄轶民, 陈应柱, 陈慧, 朱慕云. 老年慢性阻塞性肺疾病患者一氧化碳弥散与肺通气功能的相关性研究[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(04): 645-650.
[11] 石磊, 周香, 徐晓波, 宫付玉, 郑兰兰, 王航, 孙金浩, 房文盈. 慢性阻塞性肺疾病前期患者急性加重及再住院风险因素分析[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(03): 365-370.
[12] 徐唯, 谈宇, 丁正燕, 闵凌峰, 许文景. 基于生物信息学分析慢性阻塞性肺疾病并发心肌梗死机制及潜在治疗药物筛选研究[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(03): 371-378.
[13] 贺静, 孙雅, 徐艳霞, 冯媛, 胡瑞. ENR指数预测老年慢性阻塞性肺疾病急性加重期患者无创机械通气疗效临床研究[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(03): 379-385.
[14] 张璐, 王颖, 钱航, 刘雪萍, 代芬. 心肺交互呼吸康复训练用于主动脉夹层合并慢性阻塞性肺疾病患者术后康复随机对照研究[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(03): 386-391.
[15] 黑若萱, 李思敏, 刘丽, 陈延伟, 李自越. 肺良性结节及肺癌患者外周血T淋巴细胞PD-1及CD28表达特征分析[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(03): 418-423.
阅读次数
全文


摘要


AI
小
编
AI小编
你好!我是《中华医学电子期刊资源库》AI小编,有什么可以帮您的吗?