Negative impact of leukoaraiosis on the incidence of brain metastases in patients with lung cancer

[First-line immunotherapy in non-small cell lung cancer diagnosed with brain metastases]

INTRODUCTION

Up to 30% patients newly diagnosed with advanced non-small cell lung cancer (NSCLC) present with brain metastases. In the absence of oncogenic addiction, first-line immunotherapy, alone or in combination with chemotherapy, is the current standard of care. This review aims to synthesize the available data regarding the efficacy of immunotherapy in these patients, and to discuss the possibility of its being coordinated with local treatments such as radiotherapy.

STATE OF THE ART

NSCLC patients with brain metastases appear to have survival benefits with immunotherapy similar to those of NSCLC patients without brain metastases. However, this finding is based on mainly prospective studies having included highly selected patients with pre-treated and stable brain metastases. Several retrospective studies and two prospective single-arm studies have confirmed the intracranial efficacy of immunotherapy, either alone or in combination with chemotherapy.

PERSPECTIVES

The indications and optimal timing for cerebral radiotherapy remain subjects of debate. To date, there exists no randomized study assessing the addition of brain radiotherapy to first-line immunotherapy. That said, a recent meta-analysis showed increased intracerebral response when radiotherapy complemented immunotherapy.

CONCLUSIONS

For NSCLC patients with brain metastases, the available data suggest a clear benefit of first-line immunotherapy, whether alone or combined with chemotherapy. However, most of these data are drawn from retrospective, non-randomized studies with small sample sizes.

Computational markers for personalized prediction of outcomes in non-small cell lung cancer patients with brain metastases

Intracranial progression after curative treatment of early-stage non-small cell lung cancer (NSCLC) occurs from 10 to 50% and is difficult to manage, given the heterogeneity of clinical presentations and the variability of treatments available. The objective of this study was to develop a mechanistic model of intracranial progression to predict survival following a first brain metastasis (BM) event occurring at a time [Formula: see text]. Data included early-stage NSCLC patients treated with a curative intent who had a BM as the first and single relapse site (N = 31). We propose a mechanistic mathematical model able to derive computational markers from primary tumor and BM data at [Formula: see text] and estimate the amount and sizes of (visible and invisible) BMs, as well as their future behavior. These two key computational markers are [Formula: see text], the proliferation rate of a single tumor cell; and [Formula: see text], the per day, per cell, probability to metastasize. The predictive value of these individual computational biomarkers was evaluated. The model was able to correctly describe the number and size of metastases at [Formula: see text] for 20 patients. Parameters [Formula: see text] and [Formula: see text] were significantly associated with overall survival (OS) (HR 1.65 (1.07-2.53) p = 0.0029 and HR 1.95 (1.31-2.91) p = 0.0109, respectively). Adding the computational markers to the clinical ones significantly improved the predictive value of OS (c-index increased from 0.585 (95% CI 0.569-0.602) to 0.713 (95% CI 0.700-0.726), p < 0.0001). We demonstrated that our model was applicable to brain oligoprogressive patients in NSCLC and that the resulting computational markers had predictive potential. This may help lung cancer physicians to guide and personalize the management of NSCLC patients with intracranial oligoprogression.

Propensity for different vascular distributions and cerebral edema of intraparenchymal brain metastases from different primary cancers

PURPOSE

This study seeks to ascertain whether different primary tumor types have a propensity for brain metastases (BMs) in different cerebral vascular territories and cerebral edema.

METHODS

Consecutive adult patients who underwent surgical resection of a BM at a tertiary care institution between 2001 and 2011 were retrospectively reviewed. Only patients with the most common primary cancers (lung, breast, skin-melanoma, colon, and kidney) were included. Preoperative MRIs were reviewed to classify all tumors by cerebral vascular territory (anterior cerebral artery-ACA, lenticulostriate, middle cerebral artery-MCA, posterior cerebral artery-PCA, posterior fossa, and watershed), and T2-weighted FLAIR widths were measured. Chi square analyses were performed to determine differences in cerebral vascular distribution by primary tumor type, and one-way ANOVA analyses were performed to determine FLAIR signal differences.

RESULTS

669 tumors from 388 patients were classified from lung (n = 316 BMs), breast (n = 144), melanoma (n = 119), renal (n = 47), and colon (n = 43). BMs from breast cancer were less likely to be located in PCA territory (n = 18 [13%]; χ² = 6.10, p = 0.01). BMs from melanoma were less likely to be located in cerebellar territory (n = 11 [9%]; χ² = 14.1, p < 0.001), and more likely to be located in lateral (n = 5 [4%]; χ² = 4.56, p = 0.03) and medial lenticulostriate territories (n = 2 [2%]; χ² = 6.93, p = 0.009). BMs from breast and melanoma had shorter T2-FLAIR widths, with an average [IQR] of 47.2 [19.6-69.2] mm (p = 0.01) and 41.2 [14.4-62.7] mm (p = 0.002) respectively. Conversely, BMs from renal cancer had longer T2-FLAIR widths (64.2 [43.6-80.8] mm, p = 0.002).

CONCLUSIONS

These findings suggest that different primary tumor types could have propensities for different cerebral vascular territories and cerebral edema.