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Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC
BACKGROUND: To evaluate the prognostic value of DNAJB6, KIAA1522, and p-mTOR expression for colorectal cancer (CRC) and to develop effective prognostic models for CRC patients. METHODS: The expression of DNAJB6, KIAA1522, and p-mTOR (Ser2448) was detected using immunohistochemistry in 329 CRC specim...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803855/ https://www.ncbi.nlm.nih.gov/pubmed/36571988 http://dx.doi.org/10.1016/j.tranon.2022.101609 |
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author | Jiang, Yu-Juan Zhang, Tong-Tong Zhu, Yi-Qing Cai, Hong-Qing Chang, Chen Hao, Jia-Jie Cai, Yan Wang, Ming-Rong Liang, Jian-Wei Zhang, Yu |
author_facet | Jiang, Yu-Juan Zhang, Tong-Tong Zhu, Yi-Qing Cai, Hong-Qing Chang, Chen Hao, Jia-Jie Cai, Yan Wang, Ming-Rong Liang, Jian-Wei Zhang, Yu |
author_sort | Jiang, Yu-Juan |
collection | PubMed |
description | BACKGROUND: To evaluate the prognostic value of DNAJB6, KIAA1522, and p-mTOR expression for colorectal cancer (CRC) and to develop effective prognostic models for CRC patients. METHODS: The expression of DNAJB6, KIAA1522, and p-mTOR (Ser2448) was detected using immunohistochemistry in 329 CRC specimens. The prognostic values of the three proteins in the training cohort were assessed using Kaplan-Meier curves and univariate and multivariate Cox proportional hazards models. Prediction nomogram models integrating the three proteins and TNM stage were constructed. Subsequently, calibration curves, receiver operating characteristic (ROC) curves, the concordance index (C-index), and decision curve analysis (DCA) were used to evaluate the performance of the nomograms in the training and validation cohorts. RESULTS: The three proteins DNAJB6, KIAA1522, and p-mTOR were significantly overexpressed in CRC tissues (each P < 0.01), and their expression was an independent prognostic factor for overall survival (OS) and disease-free survival (DFS) (each P < 0.05). The area under the ROC curves (AUC) and C-index values were approximately 0.7. Additionally, the calibration curves showed that the predicted values and the actual values fit well. Furthermore, DCA curves indicated that the clinical value of the nomogram models was higher than that of TNM stage. Overall, the novel prediction models have good discriminability, sensitivity, specificity and clinical utility. CONCLUSION: The nomograms containing DNAJB6, KIAA1522, and p-mTOR may be promising models for predicting postoperative survival in CRC. |
format | Online Article Text |
id | pubmed-9803855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98038552023-01-09 Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC Jiang, Yu-Juan Zhang, Tong-Tong Zhu, Yi-Qing Cai, Hong-Qing Chang, Chen Hao, Jia-Jie Cai, Yan Wang, Ming-Rong Liang, Jian-Wei Zhang, Yu Transl Oncol Original Research BACKGROUND: To evaluate the prognostic value of DNAJB6, KIAA1522, and p-mTOR expression for colorectal cancer (CRC) and to develop effective prognostic models for CRC patients. METHODS: The expression of DNAJB6, KIAA1522, and p-mTOR (Ser2448) was detected using immunohistochemistry in 329 CRC specimens. The prognostic values of the three proteins in the training cohort were assessed using Kaplan-Meier curves and univariate and multivariate Cox proportional hazards models. Prediction nomogram models integrating the three proteins and TNM stage were constructed. Subsequently, calibration curves, receiver operating characteristic (ROC) curves, the concordance index (C-index), and decision curve analysis (DCA) were used to evaluate the performance of the nomograms in the training and validation cohorts. RESULTS: The three proteins DNAJB6, KIAA1522, and p-mTOR were significantly overexpressed in CRC tissues (each P < 0.01), and their expression was an independent prognostic factor for overall survival (OS) and disease-free survival (DFS) (each P < 0.05). The area under the ROC curves (AUC) and C-index values were approximately 0.7. Additionally, the calibration curves showed that the predicted values and the actual values fit well. Furthermore, DCA curves indicated that the clinical value of the nomogram models was higher than that of TNM stage. Overall, the novel prediction models have good discriminability, sensitivity, specificity and clinical utility. CONCLUSION: The nomograms containing DNAJB6, KIAA1522, and p-mTOR may be promising models for predicting postoperative survival in CRC. Neoplasia Press 2022-12-24 /pmc/articles/PMC9803855/ /pubmed/36571988 http://dx.doi.org/10.1016/j.tranon.2022.101609 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Jiang, Yu-Juan Zhang, Tong-Tong Zhu, Yi-Qing Cai, Hong-Qing Chang, Chen Hao, Jia-Jie Cai, Yan Wang, Ming-Rong Liang, Jian-Wei Zhang, Yu Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC |
title | Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC |
title_full | Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC |
title_fullStr | Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC |
title_full_unstemmed | Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC |
title_short | Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC |
title_sort | development of novel dnajb6-kiaa1522-p-mtor three-protein prognostic prediction models for crc |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803855/ https://www.ncbi.nlm.nih.gov/pubmed/36571988 http://dx.doi.org/10.1016/j.tranon.2022.101609 |
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