Classification of bladder cancer based on immune cell infiltration and construction of a risk prediction model for prognosis
OBJECTIVES: To classify bladder cancer based on immune cell infiltration score and to construct a prognosis assessment model of patients with bladder cancer.
METHODS: The transcriptome data and clinical data of breast cancer patients were obtained from the The Cancer Genome Atlas (TCGA) database. Single sample gene set enrichment analysis was used to calculate the infiltration scores of 16 immune cells. The classification of breast cancer patients was achieved by unsupervised clustering, and the sensitivity of patients with different types to immunotherapy and chemotherapy was analyzed. The key modules significantly related to the infiltration of key immune cells were identified by weighted correlation network analysis (WGCNA), and the key genes in the modules were identified. A risk scoring model and a nomogram for prognosis assessment of bladder cancer patients were constructed and verified.
RESULTS: B cells, mast cells, neutrophils, T helper cells and tumor infiltrating lymphocytes were determined to be the key immune cells of bladder cancer. The patients were clustered into two groups (Cluster 1 ´ and Custer 2) based on immune cell infiltration scores. Compared with patients with Cluster 1 ´, patients with Cluster 2 were more likely to benefit from immunotherapy (P<0.05), and patients with Cluster 2 were more sensitive to Enbeaten, Docetaxel, Cyclopamine, and Akadixin (P<0.05). 35 genes related to key immune cells were screened out by WGCNA and 4 genes (GPR171, HOXB3, HOXB5 and HOXB6) related to the prognosis of bladder cancer were further screened by LASSO Cox regression. The areas under the ROC curve (AUC) of the bladder cancer prognosis risk scoring model based on these 4 genes to predict the 1-, 3- and 5-year survival of patients were 0.735, 0.765 and 0.799, respectively. The nomogram constructed by combining risk score and clinical parameters has high accuracy in predicting the 1-, 3-, and 5-year overall survival of bladder cancer patients.
CONCLUSIONS: According to the immune cell infiltration score, bladder cancer patients can be classified. Furthermore, bladder cancer prognosis risk scoring model and nomogram based on key immune cell-related genes have high accuracy in predicting the prognosis of bladder cancer patients.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:53 |
|---|---|
| Enthalten in: |
Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences - 53(2023), 1 vom: 24. Dez., Seite 47-57 |
| Sprache: |
Englisch |
|---|
| Weiterer Titel: |
基于免疫细胞浸润评分实现膀胱癌分型及预后风险评估 |
|---|
| Beteiligte Personen: |
Yin, Guicao [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Bladder cancer |
|---|
| Anmerkungen: |
Date Completed 04.03.2024 Date Revised 20.03.2024 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.3724/zdxbyxb-2023-0343 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM367200538 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM367200538 | ||
| 003 | DE-627 | ||
| 005 | 20240320233945.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240117s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.3724/zdxbyxb-2023-0343 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1337.xml |
| 035 | |a (DE-627)NLM367200538 | ||
| 035 | |a (NLM)38229504 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Yin, Guicao |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Classification of bladder cancer based on immune cell infiltration and construction of a risk prediction model for prognosis |
| 246 | 3 | 3 | |a 基于免疫细胞浸润评分实现膀胱癌分型及预后风险评估 |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 04.03.2024 | ||
| 500 | |a Date Revised 20.03.2024 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a OBJECTIVES: To classify bladder cancer based on immune cell infiltration score and to construct a prognosis assessment model of patients with bladder cancer | ||
| 520 | |a METHODS: The transcriptome data and clinical data of breast cancer patients were obtained from the The Cancer Genome Atlas (TCGA) database. Single sample gene set enrichment analysis was used to calculate the infiltration scores of 16 immune cells. The classification of breast cancer patients was achieved by unsupervised clustering, and the sensitivity of patients with different types to immunotherapy and chemotherapy was analyzed. The key modules significantly related to the infiltration of key immune cells were identified by weighted correlation network analysis (WGCNA), and the key genes in the modules were identified. A risk scoring model and a nomogram for prognosis assessment of bladder cancer patients were constructed and verified | ||
| 520 | |a RESULTS: B cells, mast cells, neutrophils, T helper cells and tumor infiltrating lymphocytes were determined to be the key immune cells of bladder cancer. The patients were clustered into two groups (Cluster 1 ´ and Custer 2) based on immune cell infiltration scores. Compared with patients with Cluster 1 ´, patients with Cluster 2 were more likely to benefit from immunotherapy (P<0.05), and patients with Cluster 2 were more sensitive to Enbeaten, Docetaxel, Cyclopamine, and Akadixin (P<0.05). 35 genes related to key immune cells were screened out by WGCNA and 4 genes (GPR171, HOXB3, HOXB5 and HOXB6) related to the prognosis of bladder cancer were further screened by LASSO Cox regression. The areas under the ROC curve (AUC) of the bladder cancer prognosis risk scoring model based on these 4 genes to predict the 1-, 3- and 5-year survival of patients were 0.735, 0.765 and 0.799, respectively. The nomogram constructed by combining risk score and clinical parameters has high accuracy in predicting the 1-, 3-, and 5-year overall survival of bladder cancer patients | ||
| 520 | |a CONCLUSIONS: According to the immune cell infiltration score, bladder cancer patients can be classified. Furthermore, bladder cancer prognosis risk scoring model and nomogram based on key immune cell-related genes have high accuracy in predicting the prognosis of bladder cancer patients | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Bladder cancer | |
| 650 | 4 | |a Immune infiltration | |
| 650 | 4 | |a Immunotherapy | |
| 650 | 4 | |a Nomogram | |
| 650 | 4 | |a Prognostic model | |
| 700 | 1 | |a Zheng, Shengqi |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Wei |e verfasserin |4 aut | |
| 700 | 1 | |a Dong, Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Qi, Lezhong |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Yifan |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences |d 2002 |g 53(2023), 1 vom: 24. Dez., Seite 47-57 |w (DE-627)NLM123207037 |x 1008-9292 |7 nnns |
| 773 | 1 | 8 | |g volume:53 |g year:2023 |g number:1 |g day:24 |g month:12 |g pages:47-57 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.3724/zdxbyxb-2023-0343 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 53 |j 2023 |e 1 |b 24 |c 12 |h 47-57 | ||