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Accurate outcome prediction after neo-adjuvant radio-chemotherapy for rectal cancer based on a TCP-based early regression index
BACKGROUND AND PURPOSE: An early tumor regression index (ERI(TCP)) was previously introduced and found to predict pathological response after neo-adjuvant radio-chemotherapy of rectal cancer. ERI(TCP) was tested as a potential biomarker in predicting long-term disease-free survival. MATERIALS AND ME...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617292/ https://www.ncbi.nlm.nih.gov/pubmed/31334366 http://dx.doi.org/10.1016/j.ctro.2019.07.001 |
Sumario: | BACKGROUND AND PURPOSE: An early tumor regression index (ERI(TCP)) was previously introduced and found to predict pathological response after neo-adjuvant radio-chemotherapy of rectal cancer. ERI(TCP) was tested as a potential biomarker in predicting long-term disease-free survival. MATERIALS AND METHODS: Data of 65 patients treated with an early regression-guided adaptive boosting technique (ART) were available. Overall, loco-regional relapse-free and distant metastasis-free survival (OS, LRFS, DMFS) were considered. Patients received 41.4 Gy in 18 fractions (2.3 Gy/fr), including ART concomitant boost on the residual GTV during the last 6 fractions (3 Gy/fr, D(mean): 45.6 Gy). Chemotherapy included oxaliplatin and 5-fluorouracil (5-FU). T2-weighted MRI taken before (MRI(pre)) and at half therapy (MRI(half)) were available and GTVs were contoured (V(pre), V(half)). The parameter ERI(TCP) = −ln[(1 − (V(half)/V(pre)))(Vpre)] was calculated for all patients. Cox regression models were assessed considering several clinical and histological variables. Cox models not including/including ERI(TCP) (CONV_model and REGR_model respectively) were assessed and their discriminative power compared. RESULTS: At a median follow-up of 47 months, OS, LRFS and DMFS were 94%, 95% and 78%. Due to too few events, multivariable analyses focused on DMFS: the resulting CONV_model included pathological complete remission or clinical complete remission followed by surgery refusal (HR: 0.15, p = 0.07) and 5-FU dose >90% (HR: 0.29, p = 0.03) as best predictors, with AUC = 0.75. REGR_model included ERI(TCP) (HR: 1.019, p < 0.0001) and 5-FU dose >90% (HR: 0.18, p = 0.005); AUC was 0.86, significantly higher than CONV_model (p = 0.05). Stratifying patients according to the best cut-off value for ERI(TCP) and to 5-FU dose (> vs <90%) resulted in 47-month DMFS equal to 100%/69%/0% for patients with two/one/zero positive factors respectively (p = 0.0002). ERI(TCP) was also the only variable significantly associated to OS (p = 0.01) and LRFS (p = 0.03). CONCLUSION: ERI(TCP) predicts long-term DMFS after radio-chemotherapy for rectal cancer: an independent impact of the 5-FU dose was also found. This result represents a first step toward application of ERI(TCP) in treatment personalization: additional confirmation on independent cohorts is warranted. |
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