Advances and Challenges in Prognosis Prediction Systems for Non-metastatic Colorectal Cancer
Colorectal cancer is one of the most common malignancies in the world, and patients without distant metastasis have a better prognosis. As some patients in this group are still at high risk of recurrence, accurate prognosis prediction and further treatment are the keys to improve the clinical cure r...
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| Format: | Article |
| Language: | zho |
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Magazine House of Cancer Research on Prevention and Treatment
2020-12-01
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| Series: | Zhongliu Fangzhi Yanjiu |
| Subjects: | |
| Online Access: | http://html.rhhz.net/ZLFZYJ/html/8578.2020.20.0608.htm |
| _version_ | 1818379941796904960 |
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| author | KONG Xiangxing LI Jun |
| author_facet | KONG Xiangxing LI Jun |
| author_sort | KONG Xiangxing |
| collection | DOAJ |
| description | Colorectal cancer is one of the most common malignancies in the world, and patients without distant metastasis have a better prognosis. As some patients in this group are still at high risk of recurrence, accurate prognosis prediction and further treatment are the keys to improve the clinical cure rate of colorectal cancer. TNM staging, a widely used prognostic system in clinical practice, has some limitations: the system only includes three indicators, and uses a simple linear method to classify patients, while ignoring the objectivity of prognosis as a complex nonlinear phenomenon. At the same time, the system has never integrated or improved the newly discovered prognostic indicators, like clinical information, pathological information, molecular markers and immune markers. We speculate the above information may be used as supplementary factors to combine with the traditional prognosis prediction system, so as to improve the accuracy of prognosis assessment. This article systematically reviews the research progress in this field and proposes a possible way to build a new generation of prognosis prediction system for non-metastatic colorectal cancer. |
| first_indexed | 2024-12-14T02:10:47Z |
| format | Article |
| id | doaj.art-f23c97698bf0489d8163593ea6222ddd |
| institution | Directory Open Access Journal |
| issn | 1000-8578 1000-8578 |
| language | zho |
| last_indexed | 2024-12-14T02:10:47Z |
| publishDate | 2020-12-01 |
| publisher | Magazine House of Cancer Research on Prevention and Treatment |
| record_format | Article |
| series | Zhongliu Fangzhi Yanjiu |
| spelling | doaj.art-f23c97698bf0489d8163593ea6222ddd2022-12-21T23:20:46ZzhoMagazine House of Cancer Research on Prevention and TreatmentZhongliu Fangzhi Yanjiu1000-85781000-85782020-12-01471291992410.3971/j.issn.1000-8578.2020.20.06088578.2020.20.0608Advances and Challenges in Prognosis Prediction Systems for Non-metastatic Colorectal CancerKONG Xiangxing0LI Jun1Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, ChinaDepartment of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, ChinaColorectal cancer is one of the most common malignancies in the world, and patients without distant metastasis have a better prognosis. As some patients in this group are still at high risk of recurrence, accurate prognosis prediction and further treatment are the keys to improve the clinical cure rate of colorectal cancer. TNM staging, a widely used prognostic system in clinical practice, has some limitations: the system only includes three indicators, and uses a simple linear method to classify patients, while ignoring the objectivity of prognosis as a complex nonlinear phenomenon. At the same time, the system has never integrated or improved the newly discovered prognostic indicators, like clinical information, pathological information, molecular markers and immune markers. We speculate the above information may be used as supplementary factors to combine with the traditional prognosis prediction system, so as to improve the accuracy of prognosis assessment. This article systematically reviews the research progress in this field and proposes a possible way to build a new generation of prognosis prediction system for non-metastatic colorectal cancer.http://html.rhhz.net/ZLFZYJ/html/8578.2020.20.0608.htmcolorectal cancernon-metastasisprognosisprediction |
| spellingShingle | KONG Xiangxing LI Jun Advances and Challenges in Prognosis Prediction Systems for Non-metastatic Colorectal Cancer Zhongliu Fangzhi Yanjiu colorectal cancer non-metastasis prognosis prediction |
| title | Advances and Challenges in Prognosis Prediction Systems for Non-metastatic Colorectal Cancer |
| title_full | Advances and Challenges in Prognosis Prediction Systems for Non-metastatic Colorectal Cancer |
| title_fullStr | Advances and Challenges in Prognosis Prediction Systems for Non-metastatic Colorectal Cancer |
| title_full_unstemmed | Advances and Challenges in Prognosis Prediction Systems for Non-metastatic Colorectal Cancer |
| title_short | Advances and Challenges in Prognosis Prediction Systems for Non-metastatic Colorectal Cancer |
| title_sort | advances and challenges in prognosis prediction systems for non metastatic colorectal cancer |
| topic | colorectal cancer non-metastasis prognosis prediction |
| url | http://html.rhhz.net/ZLFZYJ/html/8578.2020.20.0608.htm |
| work_keys_str_mv | AT kongxiangxing advancesandchallengesinprognosispredictionsystemsfornonmetastaticcolorectalcancer AT lijun advancesandchallengesinprognosispredictionsystemsfornonmetastaticcolorectalcancer |