1.Integrating Transcriptomics and 3D Organoids to Investigate Mechanism of Periplaneta americana Extract Against Lung Adenocarcinoma
Qiong MA ; Chunxia HUANG ; Jiawei HE ; Yuting BAI ; Xingyue LIU ; Yuxuan XIONG ; Yang ZHONG ; Hengzhou LAI ; Yuling JIANG ; Xueke LI ; Qian WANG ; Yifeng REN ; Xi FU ; Funeng GENG ; Taoqing WU ; Ping XIAO ; Fengming YOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):124-132
ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract(PAE) against human-derived lung adenocarcinoma organoids(LUAD-PDOs) and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid(Nor-PDOs) models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8(CCK-8) assay. Experimental groups included the model group(LUAD-PDOs), normal group, model administration group(LUAD-PDOs+PAE), and normal administration group(Nor-PDOs+PAE). Hematoxylin-eosin(HE) staining was used to observe the pathological structures of PDOs, immunohistochemistry(IHC) was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7(CK-7) and Napsin A, TUNEL staining was applied to detect cell apoptosis. RNA sequencing(RNA-Seq) was conducted to identify differentially expressed genes(DEGs), followed by Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes(KEGG), and Gene Set Enrichment Analysis(GSEA), alongside protein-protein interaction(PPI) network analysis to screen core mechanisms. Finally, key targets were validated by integrating external database analysis with immunofluorescence(IF). ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures, whereas LUAD-PDOs displayed dense, solid structures. CCK-8 and TUNEL assays revealed that, compared with the model group, PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells, while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention(347 up-regulated and 372 down-regulated)(P<0.05). GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism, including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway(P<0.05). PPI network analysis indicated that breast cancer type 1 susceptibility protein(BRCA1) and checkpoint kinase 1(CHEK1) were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention(P<0.05). Furthermore, survival analysis based on The Cancer Genome Atlas(TCGA) database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD(P<0.05). ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis, its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway, with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.
2.Expression of Apelin in prostate cancer tissue and its correlation with clinical prognosis
Wei HUA ; Weide ZHONG ; Minyao JIANG ; Ming XI ; Song WAN ; Funeng JIANG ; Yueping WAN
Chinese Journal of Primary Medicine and Pharmacy 2018;25(12):1545-1548
Objective To detecte the expression of Apelin ( APLN) in prostate cancer tissue and to investi-gate its correlation with prognosis of prostate cancer .Methods Collect prostate cancer patients in Department of Urology of Huadu District People's Hospital for 2014 -2016 years in Guangzhou .The expression of APLN was detected by real-time fluorescence quantitative polymerase chain reaction ( qRT-PCR) in 20 prostate cancer tissues and 20 adjacent normal tissues.The difference between the two groups was compared .And 104 samples of primary prostate cancer and 28 samples of benign paracancerous tissues from the Taylor database were selected to analyze its relationship with the clinical features and prognosis of the patients .Results Compared with the benign paracancerous tissue(7.26 ±0.03),APLN was up-regulated in the prostate cancer tissue (7.62 ±0.42)(t=3.824,P<0.001). The up-regulation of APLN was associated with pathological stage (t=2.942,P=0.003),metastasis(t=3.022, P<0.001),Gleason score (t =2.399,P =0.031),the biochemical recurrence -free survival(t =2.533,P =0.001 ) ,and the biochemical recurrence -free survival of the patients with higher expression of APLN was shorter than that of the patients with lower expression of APLN(χ2 =6.268,P=0.012).Conclusion The abnormal expres-sion of APLN may be associated with tumor formation and malignant progression of prostate cancer .High expression of APLN can predict the biochemical recurrence -free survival in patients with prostate cancer .
3.Construction of prostate cancer diagnosis model based on high throughput sequencing data
Funeng JIANG ; Xin ZHANG ; Chao CHEN ; Zhaodong HAN ; Yongding WU ; Weide ZHONG ; Yuxiang LIANG
Chinese Journal of Urology 2017;38(z1):61-63
Objective We used the dataset base on high throughput sequencing data to construct a diagnosis model by ANN and GA.Methods We screened the Taylor_prostate datasets from GEO according to,then we used the GA to screen the datas further. Finally we used the ANN to analyze the datas and construct a diagnosis model. To validate the model,we used 10-folds crossvalidation as the inner validation and the datas from Grasso dataset( GPL6480 and GPL6848) were used as the outter validation.Results We got 5 genes ACADL,ACTG2, CACNA2D1,PCP4 and SPARCL1.And we used spss to get the AUC of the model which is 94.62.The result of validation is good.Conclusion The performance of the model is good because the AUC is larger than 0.5.
4.Expression and analysis of SOX9 in urinary bladder carcinoma
Song WAN ; Ming XI ; Wei HUA ; Zhaochang ZENG ; Yuanling LIU ; Yulin ZHOU ; Funeng JIANG ; Yiaoping WAN
Journal of Navy Medicine 2017;38(4):310-312
Objective To detect the expression of SOX9 in urinary bladder carcinoma and explore its possible role in the occurrence and development of urinary bladder carcinoma.Methods Pathological samples of 80 patients who received surgery due to urinary bladder carcinoma in the Urinary Surgery Department of Huadou People'S Hospital were collected for the study.Carcinoma tissues from 60 cases were used as the research group,and benign tissues from another 20 cases were used as the control group.The expressions level of SOX9 were detected in the research subjects of the 2 groups by using immunohistochemistry (IHC) and Western blot (WB).Results Positive immunostainings of SOX9 were observed in the nucleus of carcinoma cells,while the SOX9 positive immunostainings in benign tissues could be noticed in the cytoplasm and nucleus of the surrounding gland epithelial cells.The expression level of SOX9 in bladder carcinoma was higher as compared with that of the benign tissue surrounding carcinoma,and the expression level of SOX9 in bladder carcinoma was higher than that of the benign tissues surrounding carcinoma.Statistical significance could be seen in the expression level of SOX9,when comparisons were made between carcinoma tissue and non-carcinoma tissue(P < 0.001).However,clinical pathological grading seemed to have no association with age and gender(P > 0.05).Conclusion The expression level of SOX9 elevated in bladder carcinoma,and significant differences could be seen in the expressed levels of carcinoma and benign tissues,which might be a potential biomarker in the diagnosis of bladder carcinoma.
5.The value of retinoblastoma binding protein 4 in the diagnosis of prostate cancer
Jun ZOU ; Funeng JIANG ; Zhaodong HAN ; Yanru CHEN ; Yongding WU ; Weide ZHONG
Chinese Journal of Urology 2016;37(9):703-706
Objective To explore the value of retinoblastoma binding protein 4 ( RBBP4 ) in diagnosing prostate cancer ( PCa).Methods From January 2015 to December 2015, the prostate tissue after prostatectomy were collected and the differentially expressed degree of RBBP4 protein was analyzed in PCa and adjacent tissues by 2D-DIGE technology.The RBBP4 score of prostate tissue chip which contains 3 normal prostate tissues, 7 cancer adjacent normal prostate tissues, 50 adenocarcinoma and 20 hyperplasia tissue was checked by immunohistochemistry( IHC).In 50 patients with PCa, 4 cases were less than 60 years old and 46 cases were more than 60 years.In those patients, the Gleason scores were less than 7 scores in 18 cases, and more than 7 scores in 30 cases.22 cases were confirmed less than Ⅱ stage, and 28 cases were confirmed more than Ⅲ stage.Finally, the RBBP4 IHC score and the clinic-pathological parameters such as age, Gleason score and clinical stage of PCa patients were analyzed together.Results We found that the protein of RBBP4 increased by 2.15 times in PCa tissues compared to adjacent tissues by using 2D-DIGE technology( P=0.008).The expression of RBBP4 was higher than that in benign tissues by IHC ( F=43.972,P=0.000).And the expression of RBBP4 was positive correlation with Gleason score( t=5.589, P=0.000) and clinical stage(t=5.620,P=0.000), but was negative correlation with age(t=1.125,P=0.266).Conclusions The detection of RBBP4 can help to separate PCa from benign tissues.The overexpression of RBBP4 might result in the rapid growth of malignant cells.It may have certain value in determine the clinical staging and pathological grading of PCa.
6.Expression and significance of glutathione S-transferase mu 3 in prostate cancer
Jianguo ZHU ; Weihong CHEN ; Shuxiong XU ; Yuanlin WANG ; Zhaolin SUN ; Huichan HE ; Funeng JIANG ; Weide ZHONG
Chinese Journal of Urology 2014;(7):511-513
Objective To explore the role and clinical significance of GSTM 3 ( glutathione S-trans-ferase mu 3) expression in prostate cancer (PCa). Methods We had used the two-dimensional fluores-cence difference gel electrophoresis ( 2D-DIGE) and mass spectral analysis to further verify the microarray data of mRNA expression profiling discovered .GSTM3 mRNA level was detected by Rael-time Quantitative PCR ( RT-QPCR) in 28 pairs of prostate cancer tissue and benign tissue .The relationship of GSTM 3 level with the serum PSA level and the clinical feature of PCa were analyzed . Results In 2D-DIGE study, we found that the expression of GSTM 3 protein in adjacent tissues was significantly higher than that in PCa tis-sues (P<0.05).RT-QPCR results showed that GSTM3 in adjacent tissues (8.12±0.51) was significantly higher than that in PCa tissues (7.18±0.54) (P<0.05).There was no significant difference of GSTM3 ex-pression in different serum PSA packets ( P>0.05) and prostate cancer clinical pathological parameters ( P>0.05). Conclusions GSTM3 expression is down-regulated in PCa tissues, and we may identify PCa by detecting the GSTM 3 expression .

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