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The third month follow-up MR images are practically not informative and might lead to unnecessary intervention; sixth month follow-up MR images are a crucial point and they may predict tumor behavior.

Therefore, the immunohistochemical status of RB1, p53 and RB1CC1 may predict tumor progression and the clinical prognosis of breast cancer patients[20].

Therefore, it may predict tumor response to DNA damage-inducing chemotherapy such as with EC.

Univariate and multivariate Cox proportional hazard regression analyses were used to analyze factors that may predict tumor recurrence.

Human epidermal growth factor receptor 2 (HER2)/neu, topoisomerase II alpha (TOP2A), and polysomy 17 may predict tumor responsiveness to doxorubicin (DOX) therapy.

However, with increasing understanding that factors other than tumor size may predict tumor phenotype, there is a need to revisit the optimal criteria for predicting post-transplant recurrence.

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Therefore, markers of clotting may preoperatively predict tumor progression and prognosis in GBC patients.

This fibroblast CSR or "wound-response signature" is recapitulated in human carcinomas and may help predict tumor progression [ 37].

Consequently, MCM2 and MCM3 may help to predict tumor behavior.

This study by use of tumor-bearing mice and cultured cancer cells suggested that imaging of the radiation-inducible TIP-1 translocation onto the cancer cell surface may predict the tumor responsiveness to radiation in a time-efficient manner and thus tailor radiotherapy of cancer.

We hypothesize that these 31 genes may be used to predict tumor progression after surgery.

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