Prognostic Models Incorporating <i>RAS</i> Mutation to Predict Survival in Patients with Colorectal Liver Metastases: A Narrative Review
Recurrence and survival vary widely among patients who undergo curative-intent resection of colorectal liver metastases (CRLM). Prognostic models provide estimated probabilities of these outcomes and allow the effects of multiple potentially interacting variables to be adjusted and assessed simultan...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Cancers |
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| Online Access: | https://www.mdpi.com/2072-6694/14/13/3223 |
| _version_ | 1797480595924713472 |
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| author | Geoffrey Yuet Mun Wong Connie Diakos Mark P. Molloy Thomas J. Hugh |
| author_facet | Geoffrey Yuet Mun Wong Connie Diakos Mark P. Molloy Thomas J. Hugh |
| author_sort | Geoffrey Yuet Mun Wong |
| collection | DOAJ |
| description | Recurrence and survival vary widely among patients who undergo curative-intent resection of colorectal liver metastases (CRLM). Prognostic models provide estimated probabilities of these outcomes and allow the effects of multiple potentially interacting variables to be adjusted and assessed simultaneously. Although many prognostic models based on clinicopathologic factors have been developed since the 1990s to predict survival after resection of CRLM, these models vary in their predictive performance when applied to contemporary cohorts. Rat sarcoma viral oncogene homolog (<i>RAS</i>) mutation status is routinely tested in patients with metastatic colorectal cancer to predict response to anti-epidermal growth factor therapy. In addition, mutations in <i>RAS</i> predict survival and recurrence in patients undergoing hepatectomy for CRLM. Several recent prognostic models have incorporated <i>RAS</i> mutation status as a surrogate of tumor biology and combined revised clinicopathologic variables to improve the prediction of recurrence and survival. This narrative review aims to evaluate the differences between contemporary prognostic models incorporating <i>RAS</i> mutation status and their clinical applicability in patients considered for curative-intent resection of CRLM. |
| first_indexed | 2024-03-09T22:02:20Z |
| format | Article |
| id | doaj.art-2dbb03d8e48b46869886c6ea4865cb3c |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-09T22:02:20Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-2dbb03d8e48b46869886c6ea4865cb3c2023-11-23T19:46:24ZengMDPI AGCancers2072-66942022-06-011413322310.3390/cancers14133223Prognostic Models Incorporating <i>RAS</i> Mutation to Predict Survival in Patients with Colorectal Liver Metastases: A Narrative ReviewGeoffrey Yuet Mun Wong0Connie Diakos1Mark P. Molloy2Thomas J. Hugh3Department of Upper Gastrointestinal Surgery, Royal North Shore Hospital, Sydney, NSW 2065, AustraliaNorthern Clinical School, The University of Sydney, Sydney, NSW 2065, AustraliaBowel Cancer and Biomarker Research Laboratory, Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, AustraliaDepartment of Upper Gastrointestinal Surgery, Royal North Shore Hospital, Sydney, NSW 2065, AustraliaRecurrence and survival vary widely among patients who undergo curative-intent resection of colorectal liver metastases (CRLM). Prognostic models provide estimated probabilities of these outcomes and allow the effects of multiple potentially interacting variables to be adjusted and assessed simultaneously. Although many prognostic models based on clinicopathologic factors have been developed since the 1990s to predict survival after resection of CRLM, these models vary in their predictive performance when applied to contemporary cohorts. Rat sarcoma viral oncogene homolog (<i>RAS</i>) mutation status is routinely tested in patients with metastatic colorectal cancer to predict response to anti-epidermal growth factor therapy. In addition, mutations in <i>RAS</i> predict survival and recurrence in patients undergoing hepatectomy for CRLM. Several recent prognostic models have incorporated <i>RAS</i> mutation status as a surrogate of tumor biology and combined revised clinicopathologic variables to improve the prediction of recurrence and survival. This narrative review aims to evaluate the differences between contemporary prognostic models incorporating <i>RAS</i> mutation status and their clinical applicability in patients considered for curative-intent resection of CRLM.https://www.mdpi.com/2072-6694/14/13/3223<i>RAS</i>colorectal liver metastasesprognosisprediction models |
| spellingShingle | Geoffrey Yuet Mun Wong Connie Diakos Mark P. Molloy Thomas J. Hugh Prognostic Models Incorporating <i>RAS</i> Mutation to Predict Survival in Patients with Colorectal Liver Metastases: A Narrative Review Cancers <i>RAS</i> colorectal liver metastases prognosis prediction models |
| title | Prognostic Models Incorporating <i>RAS</i> Mutation to Predict Survival in Patients with Colorectal Liver Metastases: A Narrative Review |
| title_full | Prognostic Models Incorporating <i>RAS</i> Mutation to Predict Survival in Patients with Colorectal Liver Metastases: A Narrative Review |
| title_fullStr | Prognostic Models Incorporating <i>RAS</i> Mutation to Predict Survival in Patients with Colorectal Liver Metastases: A Narrative Review |
| title_full_unstemmed | Prognostic Models Incorporating <i>RAS</i> Mutation to Predict Survival in Patients with Colorectal Liver Metastases: A Narrative Review |
| title_short | Prognostic Models Incorporating <i>RAS</i> Mutation to Predict Survival in Patients with Colorectal Liver Metastases: A Narrative Review |
| title_sort | prognostic models incorporating i ras i mutation to predict survival in patients with colorectal liver metastases a narrative review |
| topic | <i>RAS</i> colorectal liver metastases prognosis prediction models |
| url | https://www.mdpi.com/2072-6694/14/13/3223 |
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