Personalized Medicine-Current and Emerging Predictive and Prognostic Biomarkers in Colorectal Cancer

被引:40
作者
Koulis, Christine [1 ]
Yap, Raymond [1 ]
Engel, Rebekah [1 ,2 ,3 ]
Jarde, Thierry [2 ,3 ,4 ]
Wilkins, Simon [1 ,5 ]
Solon, Gemma [1 ]
Shapiro, Jeremy D. [6 ]
Abud, Helen [2 ,3 ]
McMurrick, Paul [1 ]
机构
[1] Cabrini Monash Univ, Cabrini Hlth, Dept Surg, Malvern, Vic 3144, Australia
[2] Monash Univ, Dept Anat & Dev Biol, Clayton, Vic 3800, Australia
[3] Monash Univ, Monash Biomed Discovery Inst, Stem Cells & Dev Program, Clayton, Vic 3800, Australia
[4] Hudson Inst Med Res, Ctr Canc Res, Clayton, Vic 3168, Australia
[5] Monash Univ, Dept Epidemiol & Prevent Med, Melbourne, Vic 3000, Australia
[6] Cabrini Hlth, Cabrini Haematol & Oncol Ctr, Malvern, Vic 3144, Australia
关键词
biomarkers; colorectal cancer; predictive; prognostic; organoid; consensus molecular subtypes; ISLAND METHYLATOR PHENOTYPE; ADVANCED RECTAL-CANCER; MISMATCH REPAIR DEFICIENCY; GROWTH-FACTOR RECEPTOR; COLON-CANCER; STEM-CELLS; RAS MUTATIONS; BRAF MUTATION; MICROSATELLITE INSTABILITY; THYMIDYLATE SYNTHASE;
D O I
10.3390/cancers12040812
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Colorectal cancer (CRC) is the third most common cancer diagnosed worldwide and is heterogeneous both morphologically and molecularly. In an era of personalized medicine, the greatest challenge is to predict individual response to therapy and distinguish patients likely to be cured with surgical resection of tumors and systemic therapy from those resistant or non-responsive to treatment. Patients would avoid futile treatments, including clinical trial regimes and ultimately this would prevent under- and over-treatment and reduce unnecessary adverse side effects. In this review, the potential of specific biomarkers will be explored to address two key questions-1) Can the prognosis of patients that will fare well or poorly be determined beyond currently recognized prognostic indicators? and 2) Can an individual patient's response to therapy be predicted and those who will most likely benefit from treatment/s be identified? Identifying and validating key prognostic and predictive biomarkers and an understanding of the underlying mechanisms of drug resistance and toxicity in CRC are important steps in order to personalize treatment. This review addresses recent data on biological prognostic and predictive biomarkers in CRC. In addition, patient cohorts most likely to benefit from currently available systemic treatments and/or targeted therapies are discussed in this review.
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页数:27
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