SwePub - search: WFRF:(Slipsager Anna)

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1.	Slipsager, Anna, et al. (author) Predictive biomarkers in radioresistant rectal cancer : A systematic review 2023 In: Critical reviews in oncology/hematology. - : Elsevier. - 1040-8428 .- 1879-0461. ; 186 Research review (peer-reviewed)abstract Background and aimsThe treatment of locally advanced rectal cancer often consists of neoadjuvant chemoradiotherapy followed by surgery. However, approximately 15% of patients show no response to this neoadjuvant chemoradiotherapy. This systematic review aimed to identify biomarkers of innate radioresistant rectal cancer.MethodThrough a systematic literature search, 125 papers were included and analyzed using ROBINS-I, a Cochrane risk of bias tool for non-randomized studies of interventions. Both statistically significant and nonsignificant biomarkers were identified. Biomarkers mentioned more than once in the results or biomarkers with a low or moderate risk of bias were included as the final results.ResultsThirteen unique biomarkers, three genetic signatures, one specific pathway, and two combinations of two or four biomarkers were identified. In particular, the connection between HMGCS2, COASY, and PI3K-pathway seems promising. Future scientific research should focus on further validating these genetic resistance markers.

Slipsager, Anna, et al. (author)
Predictive biomarkers in radioresistant rectal cancer : A systematic review
2023
In: Critical reviews in oncology/hematology. - : Elsevier. - 1040-8428 .- 1879-0461. ; 186
Research review (peer-reviewed)abstract
- Background and aimsThe treatment of locally advanced rectal cancer often consists of neoadjuvant chemoradiotherapy followed by surgery. However, approximately 15% of patients show no response to this neoadjuvant chemoradiotherapy. This systematic review aimed to identify biomarkers of innate radioresistant rectal cancer.MethodThrough a systematic literature search, 125 papers were included and analyzed using ROBINS-I, a Cochrane risk of bias tool for non-randomized studies of interventions. Both statistically significant and nonsignificant biomarkers were identified. Biomarkers mentioned more than once in the results or biomarkers with a low or moderate risk of bias were included as the final results.ResultsThirteen unique biomarkers, three genetic signatures, one specific pathway, and two combinations of two or four biomarkers were identified. In particular, the connection between HMGCS2, COASY, and PI3K-pathway seems promising. Future scientific research should focus on further validating these genetic resistance markers.

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