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Zhong X, Peng J, Shu Z, Song Q, Li D. Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning. Cancer Imaging 2023; 23:88. [PMID: 37723592 PMCID: PMC10507842 DOI: 10.1186/s40644-023-00607-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 09/05/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND The current study aimed to construct and validate a magnetic resonance imaging (MRI)-based radiomics nomogram to predict tumor protein p53 gene status in rectal cancer patients using machine learning. METHODS Clinical and imaging data from 300 rectal cancer patients who underwent radical resections were included in this study, and a total of 166 patients with p53 mutations according to pathology reports were included in these patients. These patients were allocated to the training (n = 210) or validation (n = 90) cohorts (7:3 ratio) according to the examination time. Using the training data set, the radiomic features of primary tumor lesions from T2-weighted images (T2WI) of each patient were analyzed by dimensionality reduction. Multivariate logistic regression was used to screen predictive features, which were combined with a radiomics model to construct a nomogram to predict p53 gene status. The accuracy and reliability of the nomograms were assessed in both training and validation data sets using receiver operating characteristic (ROC) curves. RESULTS Using the radiomics model with the training and validation cohorts, the diagnostic efficacies were 0.828 and 0.795, the sensitivities were 0.825 and 0.891, and the specificities were 0.722 and 0.659, respectively. Using the nomogram with the training and validation data sets, the diagnostic efficacies were 0.86 and 0.847, the sensitivities were 0.758 and 0.869, and the specificities were 0.833 and 0.75, respectively. CONCLUSIONS The radiomics nomogram based on machine learning was able to predict p53 gene status and facilitate preoperative molecular-based pathological diagnoses.
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Affiliation(s)
- Xia Zhong
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Jiaxuan Peng
- Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Zhenyu Shu
- Cancer Center, Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Qiaowei Song
- Cancer Center, Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Dongxue Li
- Cancer Center, Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
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Predictive and Prognostic Value of Oncogene Mutations and Microsatellite Instability in Locally-Advanced Rectal Cancer Treated with Neoadjuvant Radiation-Based Therapy: A Systematic Review and Meta-Analysis. Cancers (Basel) 2023; 15:cancers15051469. [PMID: 36900260 PMCID: PMC10001009 DOI: 10.3390/cancers15051469] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 02/17/2023] [Accepted: 02/22/2023] [Indexed: 03/02/2023] Open
Abstract
Markers of pathological complete response (pCR) to preoperative radiation-based therapy in locally advanced rectal cancer (LARC) are strongly needed. This meta-analysis aimed at elucidating the predictive/prognostic role of tumor markers in LARC. We systematically reviewed the impact of RAS, TP53, BRAF, PIK3CA, and SMAD4 mutations and MSI status on response (pCR, downstaging) and prognosis (risk of recurrence, survival) in LARC according to PRISMA guidelines and the PICO model. PubMed, Cochrane Library, and Web of Science Core Collection were systematically searched to identify relevant studies published before October 2022. KRAS mutations were significantly associated with the risk of not achieving pCR after preoperative treatment (summary OR = 1.80, 95% CI: 1.23-2.64). This association was even more significant in patients not receiving cetuximab (summary OR = 2.17, 95% CI: 1.41-3.33) than in patients receiving cetuximab (summary OR = 0.89, 95% CI: 0.39-20.05). MSI status was not associated with pCR (summary OR = 0.80, 95% CI: 0.41-1.57). No effect of KRAS mutation or MSI status on downstaging was detected. Meta-analysis of survival outcomes was not possible due to the large heterogeneity among studies in endpoint assessment. The minimum number of eligible studies to assess the predictive/prognostic role of TP53, BRAF, PIK3CA, and SMAD4 mutations was not reached. KRAS mutation, but not MSI status, proved to be a detrimental marker for response to preoperative radiation-based therapy in LARC. Translating this finding into the clinic could improve the management of LARC patients. More data are needed to clarify the clinical impact of TP53, BRAF, PIK3CA, and SMAD4 mutations.
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Cham TC, Chen X, Honaramooz A. Current progress, challenges, and future prospects of testis organoids†. Biol Reprod 2021; 104:942-961. [PMID: 33550399 DOI: 10.1093/biolre/ioab014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/24/2020] [Accepted: 01/26/2021] [Indexed: 12/29/2022] Open
Abstract
Spermatogenic failure is believed to be a major cause of male infertility. The establishment of a testis organoid model would facilitate the study of such pathological mechanisms and open the possibility of male fertility preservation. Because of the complex structures and cellular events occurring within the testis, the establishment of a compartmentalized testis organoid with a complete spermatogenic cycle remains a challenge in all species. Since the late 20th century, a great variety of scaffold-based and scaffold-free testis cell culture systems have been established to recapitulate de novo testis organogenesis and in vitro spermatogenesis. The utilization of the hydrogel scaffolds provides a 3D microenvironment for testis cell growth and development, facilitating the reconstruction of de novo testis tissue-like structures and spermatogenic differentiation. Using a combination of different strategies, including the use of various scaffolding biomaterials, the incorporation of the living cells with high self-assembling capacity, and the integration of the advanced fabrication techniques, a scaffold-based testis organoid with a compartmentalized structure that supports in vitro spermatogenesis may be achieved. This article briefly reviews the current progress in the development of scaffold-based testis organoids while focusing on the scaffolding biomaterials (hydrogels), cell sources, and scaffolding approaches. Key challenges in current organoid studies are also discussed along with recommendations for future research.
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Affiliation(s)
- Tat-Chuan Cham
- Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N 5B4, Canada
| | - Xiongbiao Chen
- Department of Mechanical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Ali Honaramooz
- Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N 5B4, Canada
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Liu H, Wei R, Li C, Zhao Z, Guan X, Yang M, Liu Z, Wang X, Jiang Z. BMI May Be a Prognostic Factor for Local Advanced Rectal Cancer Patients Treated with Long-Term Neoadjuvant Chemoradiotherapy. Cancer Manag Res 2020; 12:10321-10332. [PMID: 33116887 PMCID: PMC7586017 DOI: 10.2147/cmar.s268928] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 09/15/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE This study aims to develop feasible nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) of the local advanced rectal cancer (LARC) patients who were treated with neoadjuvant chemoradiotherapy (nCRT) and operation. METHODS A total of 243 LARC patients undergoing nCRT followed by total mesorectal excision (TME) were enrolled. Preoperative clinical features and postoperative pathological characteristics were collected. A Cox regression analysis was performed, and Cox-based nomograms were developed to predict the OS and CSS. We assessed the predictive performance of the nomogram with concordance index and calibration plots. RESULTS A total of 243 patients were included with a median follow-up period of 46 months (range from 9 to 86 months). Cox regression analysis showed that low BMI (BMI < 18.5, HR= 21.739, P < 0.05), high level of preoperative CA19-9 (HR = 3.369, P = 0.036), high ypStage (HR = 19.768, P < 0.001), positive neural invasion (HR = 4.218, P = 0.026) and no adjuvant chemotherapy (HR = 5.495, P < 0.001) were independent predictors of poor OS. Age ≥70 (HR = 2.284, P <0.001), low BMI (BMI < 18.5, HR = 3.906, P < 0.05), positive preoperative CA19-9 (HR = 1.920, P = 0.012), high ypStage (HR = 5.147, P <0.001) and positive neural invasion (HR = 2.873, P = 0.022) were independent predictors of poor CSS. The predictive nomograms were developed to predict the OS and CSS with a C-index of 0.837 and 0.760. Good statistical performance on internal validation was shown by calibration plots. CONCLUSION In conclusion, this study demonstrated that BMI was an independent prognostic factor for OS and CSS in LARC patients treated with nCRT followed TME. A nomogram incorporating BMI, neural invasion, pre-CA19-9, ypStage, age, and adjuvant chemotherapy could be helpful to predict the OS and CSS.
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Affiliation(s)
- Hengchang Liu
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100021, People’s Republic of China
| | - Ran Wei
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100021, People’s Republic of China
| | - Chunxiang Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100021, People’s Republic of China
| | - Zhixun Zhao
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100021, People’s Republic of China
| | - Xu Guan
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100021, People’s Republic of China
| | - Ming Yang
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100021, People’s Republic of China
| | - Zheng Liu
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100021, People’s Republic of China
| | - Xishan Wang
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100021, People’s Republic of China
| | - Zheng Jiang
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100021, People’s Republic of China
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Yuan Y, Li L, Cheng Q, Diao F, Zeng Q, Yang X, Wu Y, Zhang H, Huang M, Chen J, Zhou Q, Zhu Y, Hua R, Tian J, Wang X, Zhou Z, Hao J, Yu J, Hua D, Liu J, Guo X, Zhou Q, Sha J. In vitro testicular organogenesis from human fetal gonads produces fertilization-competent spermatids. Cell Res 2020; 30:244-255. [PMID: 32086476 DOI: 10.1038/s41422-020-0283-z] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 02/03/2020] [Indexed: 01/18/2023] Open
Abstract
Unlike most organs that mature during the fetal period, the male reproductive system reaches maturity only at puberty with the commencement of spermatogenesis. Robust modelling of human testicular organogenesis in vitro would facilitate research into mechanisms of and factors affecting human spermatogenic failure and male fertility preservation in prepubertal tumor patients. Here, we report successful recapitulation of human testicular organogenesis in vitro from fetal gonadal ridge. Our model displayed the formation of mature seminiferous epithelium and self-renewing spermatogonia. Remarkably, in vitro-derived haploid spermatids have undergone meiotic recombination, and showed increased genetic diversity as indicated by genetic analysis. Moreover, these spermatids were able to fertilize oocytes and support subsequent blastocyst formation. The in vitro testicular organogenesis system described here will play an important role in elucidating the regulation of human testis development and maintaining male fertility in prepubertal cancer patients.
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Affiliation(s)
- Yan Yuan
- Human Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, 214062, Wuxi, Jiangsu, China.,State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Laihua Li
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Qing Cheng
- State Key Laboratory of Reproductive Medicine, Women's Hospital of Nanjing Medical University, Nanjing Medical University, 210029, Nanjing, Jiangsu, China
| | - Feiyang Diao
- State Key Laboratory of Reproductive Medicine, Clinical Center of Reproductive Medicine, First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, 210029, Nanjing, Jiangsu, China
| | - Qiao Zeng
- State Key Laboratory of Reproductive Medicine, Clinical Center of Reproductive Medicine, First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, 210029, Nanjing, Jiangsu, China
| | - Xiaoyu Yang
- State Key Laboratory of Reproductive Medicine, Clinical Center of Reproductive Medicine, First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, 210029, Nanjing, Jiangsu, China
| | - Yibo Wu
- Human Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, 214062, Wuxi, Jiangsu, China
| | - Hao Zhang
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Mingqian Huang
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Junqing Chen
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Quan Zhou
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Yunfei Zhu
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Rong Hua
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Jianyu Tian
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Xin Wang
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Zuomin Zhou
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Jie Hao
- State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
| | - Jinjin Yu
- Human Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, 214062, Wuxi, Jiangsu, China
| | - Dong Hua
- Human Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, 214062, Wuxi, Jiangsu, China
| | - Jiayin Liu
- State Key Laboratory of Reproductive Medicine, Clinical Center of Reproductive Medicine, First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, 210029, Nanjing, Jiangsu, China
| | - Xuejiang Guo
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China.
| | - Qi Zhou
- State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.
| | - Jiahao Sha
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, 211166, Nanjing, Jiangsu, China. .,State Key Laboratory of Reproductive Medicine, Women's Hospital of Nanjing Medical University, Nanjing Medical University, 210029, Nanjing, Jiangsu, China.
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