Importance of Local Ablative Therapies for Lung Metastases in Patients With Colorectal Cancer

Radioimmunotherapy in colorectal cancer treatment: present and future

Colorectal cancer (CRC) is a deadly form of cancer worldwide. Patients with locally advanced rectal cancer and metastatic CRC have a poor long-term prognosis, and rational and effective treatment remains a major challenge. Common treatments include multi-modal combinations of surgery, radiotherapy, and chemotherapy; however, recurrence and metastasis rates remain high. The combination of radiotherapy and immunotherapy (radioimmunotherapy [RIT]) may offer new solutions to this problem, but its prospects remain uncertain. This review aimed to summarize the current applications of radiotherapy and immunotherapy, elaborate on the underlying mechanisms, and systematically review the preliminary results of RIT-related clinical trials for CRC. Studies have identified several key predictors of RIT efficacy. Summarily, rational RIT regimens can improve the outcomes of some patients with CRC, but current study designs have limitations. Further studies on RIT should focus on including larger sample sizes and optimizing the combination therapy regimen based on underlying influencing factors.

A comparison of two disease burden assessment methods (3D volume versus the number of lesions) for prognostication of survival in metastatic melanoma: implications for the characterization of oligometastatic disease

BACKGROUND

Oligometastatic disease (OMD), generally defined by the presence of ≤5 metastatic lesions, represents an intermediate state between localized and widespread metastatic disease. This study aimed to question the conventional definition of OMD and assessed the significance of the total volume and loci of metastases in characterizing OMD using an unselected metastatic melanoma cohort.

METHODS

We identified 86 consecutive patients with metastatic melanoma who received pembrolizumab monotherapy during 2015‒2020. We retrospectively contoured the gross tumor volumes of all metastatic lesions on baseline and follow-up imaging. The number, total volume, and loci information of metastases was collected. The primary endpoint was overall survival (OS). Density histogram plot was used for tumor characteristics description, and classification analysis using the decision tree and random forest methods was performed to determine the optimal combination of prognostic factors in the clinical setting.

RESULTS

Total 2,728 gross tumor volumes were delineated. On baseline imaging, the median number and total volume of metastases was 7 (interquartile range [IQR], 3‒17) and 28.4 cc (IQR, 8.4‒88.78), respectively. The lymph node was the most common metastatic site (n=46, 54%), followed by the lungs (n=32, 37%), liver (n=23, 27%), and bones (n=21, 24%). Two-year OS rates of patients with 1‒5, 6‒10, 11‒20, and >20 metastases were 58%, 47%, 31%, and 14%, respectively, and ≤10, 11‒30, 31‒130, and >130 cc of metastatic volume were 64%, 43%, 33%, and 25%, respectively. K-adaptive partitioning revealed that the optimal cutoff was 20 and 37.9 cc. Decision tree and random forest analyses revealed that volume and loci (brain and liver metastases) were the most important factors (Harrell's C-index, 0.78).

CONCLUSIONS

The OMD state could represent a continuous spectrum of disease burden instead of a binary phenomenon. We propose integrating the volumetric and spatial information of metastases into the characterization of OMD and the stratification tool of clinical trials in the metastatic setting, although external validation studies are needed.