AI Article Synopsis

  • The study aimed to predict survival outcomes in advanced hepatocellular carcinoma (HCC) patients after failing first-line sorafenib treatment, using DCE-MRI biomarkers from two phase II trials with 74 participants.
  • Patients underwent DCE-MRI scans to measure changes in their largest tumor, with results indicating that reductions in certain DCE-MRI parameters (ΔPeak and ΔAUC) at days 3 and 14 were linked to better progression-free survival (PFS) and overall survival (OS).
  • The overall treatment response was low, but those with high reductions in DCE-MRI biomarker values at specific time points showed significantly improved survival outcomes, highlighting the potential of these imaging markers in assessing treatment efficacy.

Article Abstract

In this paper, our main objective was to predict survival outcomes using DCE-MRI biomarkers in patients with advanced hepatocellular carcinoma (HCC) after progression from 1st-line sorafenib treatment in two prospective phase II trials. This study included 74 participants (men/women = 64/10, mean age 60 ± 11.8 years) with advanced HCC who received 2nd-line targeted therapy ( = 41 with lenalidomide in one clinical trial; = 33 with axitinib in another clinical trial) after sorafenib failure from two prospective phase II studies. Among them, all patients underwent DCE-MRI at baseline, and on days 3 and 14 of treatment. The relative changes (Δ) in the DCE-MRI parameters, including ΔPeak, ΔAUC, and ΔK, were derived from the largest hepatic tumor. The treatment response was evaluated using the Response Evaluation Criteria in Solid Tumors (RECIST 1.1). The Cox model was used to investigate the associations of the clinical variables and DCE-MRI biomarkers with progression-free survival (PFS) and overall survival (OS). The objective response rate (ORR) was 10.8% (8/74) and the disease control rate (DCR) was 58.1% (43/74). The median PFS and OS values were 1.9 and 7.8 months, respectively. On day 3 (D3), participants with high reductions in ΔPeak_D3 (hazard ratio (HR) 0.4, 95% confidence interval (CI) 0.17-0.93, = 0.017) or ΔAUC_D3 (HR 0.51, 95% CI 0.25-1.04, = 0.043) were associated with better PFS. On day 14, participants with high reductions in ΔPeak_D14 (HR 0.51, 95% CI 0.26-1.01, = 0.032), ΔAUC_D14 (HR 0.54, 95% CI 0.33-0.9, = 0.009), or ΔK_D14 (HR 0.26, 95% CI 0.12-0.56, < 0.001) had a higher PFS than those with lower reduction values. In addition, high reductions in ΔAUC_D14 (HR 0.53, 95% CI 0.32-0.9, = 0.016) or ΔK_D14 (HR 0.47, 95% CI 0.23-0.98, = 0.038) were associated with a better OS. Among the clinical variables, ORR was associated with both PFS ( = 0.001) and OS ( = 0.005). DCR was associated with PFS ( = 0.002), but not OS ( = 0.089). Cox multivariable analysis revealed that ΔK_D14 ( = 0.002) remained an independent predictor of PFS after controlling for ORR and DCR. An early reduction in tumor perfusion detected by DCE-MRI biomarkers, especially on day 14, may predict favorable survival outcomes in participants with HCC receiving 2nd-line targeted therapy after sorafenib failure.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508238PMC
http://dx.doi.org/10.3390/cancers13194962DOI Listing

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