Local Treatment Strategies for Brain Metastases of Colorectal Cancer

Brain metastases (BM) from colorectal cancer (CRC) are a rare event, reported in less than 3% of patients with CRC. This course is associated with a dismal prognosis, and treatment of these patients remains challenging. The rarity of the event complicates research into both the effectiveness of local treatment methods and long-term oncological outcomes. Published studies are largely limited to single-center series with non-representative small patient cohorts, making it difficult to assess the reasons for such unsatisfactory treatment results. Despite its rarity, there is growing evidence that the incidence of BM from CRC is increasing. Although direct epidemiological data are limited, many experts believe the detection rate has risen over the past quarter-century. This trend is likely multifactorial, attributed to advances in neuroimaging techniques and improved life expectancy due to the evolution of systemic therapy strategies. However, this increase in detection has not translated into improved outcomes. Central nervous system (CNS) involvement in CRC remains associated with a dismal prognosis; median overall survival from the time of progression ranges from 2 to 5 months and has not substantially improved over recent decades. The aggressive disease course and the unmet clinical need for effective therapeutic strategies highlight the importance of large-scale, real-world data. The primary objective of this study is to evaluate, in a large multi-institutional real-world cohort, the effectiveness of the following local treatment modalities for CRC BM: 1. Neurosurgical resection (NRS): * En-bloc resection (EBR) * Total piecemeal resection (TPR) * Subtotal (SPR) or partial piecemeal resection (PPR) * Extent of resection unknown 2. Radiotherapy (RT): * Stereotactic radiosurgery (SRS) * Staged stereotactic radiosurgery (stSRS) * Stereotactic radiotherapy (hypofractionated) (SRT) * Whole-brain radiotherapy (WBRT) 3. Combined local treatment modalities: * NRS with postoperative WBRT * NRS with postoperative SRT/SRS * Preoperative SRS followed by NRS * Combination radiotherapy (SRS and WBRT, SRT and WBRT, SRS and SRT) 4. No local treatment Investigators from a multi-institutional consortium of 15 major cancer centers across Russia and Belarus have initiated a collaborative effort to create, to the best of our knowledge, the largest and most comprehensive retrospective dataset of patients with CRC BM described to date. This dataset will pool clinical, pathological, and treatment-related data from patients diagnosed over the past quarter-century (2000-2025). Data to be collected for each patient will include: 1. Demographics and Baseline Characteristics * Sex (male/female) * Age at primary cancer diagnosis (years, median with range) * Age at BM diagnosis (years, median with range) 2. Primary Tumor Characteristics * TNM classification (T, N, M categories with subcategories, including X when unknown) * Disease stage at initial diagnosis (I-II, III, IV, unknown) * History of primary tumor resection (yes/no/unknown) * Primary tumor sidedness: * Right-sided (cecum, ascending colon, hepatic flexure, transverse colon) * Left-sided (splenic flexure, descending colon, sigmoid colon, rectosigmoid junction, rectum) * Unknown * Primary tumor location (cecum, ascending colon, hepatic flexure, transverse colon, splenic flexure, descending colon, sigmoid colon, rectosigmoid junction, rectum, multiple tumors of colon, unknown) 3. Extracranial Disease Burden: * At initial cancer diagnosis: * Number of extracranial organ sites involved (1, 2, ≥ 3, unknown) * Location of extracranial metastases (liver, lung, peritoneum, bone, adrenal glands, soft tissues, distant lymph nodes, other; with specification of exclusive vs. combined involvement) * At the time of BM diagnosis: * Presence of extracranial metastases (yes/no/unknown) * Number of extracranial organ sites involved (1, 2, ≥ 3, unknown) * Location of extracranial metastases (liver, lung, peritoneum, bone, adrenal glands, soft tissues, distant lymph nodes, other; with specification of exclusive vs. combined involvement; including "brain-exclusive" disease) * Activity of extracranial disease (stable, progressing, brain-exclusive, unknown) 4. Intracranial Tumor Characteristics * Number of BM at diagnosis (median with range; categorized as solitary vs. ≥ 2) * Location relative to the tentorium (supratentorial, infratentorial, both) * For solitary BM: specific localization (frontal, temporal, parietal, occipital lobe; cerebellum; left/right hemisphere; unknown) * Cumulative intracranial tumor volume (CITV) (cm³, median with range; categorized into clinically relevant volume groups) * Largest intracranial tumor volume (LITV) (cm³, median with range; categorized into clinically relevant volume groups) * Maximum diameter of the largest intracranial tumor (cm, median with range; categorized into clinically relevant diameter groups) * Radiological features (present/absent/unknown): Perifocal edema, Mass effect, Dislocation syndrome, Ventricular compression (lateral, III, IV), Brainstem compression, Intratumoral hemorrhage, Intratumoral necrosis, Leptomeningeal disease (LMD), Occlusive hydrocephalus, Bone destruction, Cerebellar tonsil herniation 5. Clinical Presentation * Timing of BM diagnosis: * Synchronous (within 60 days of primary tumor diagnosis or as initial presentation) * Metachronous (\> 60 days after primary tumor diagnosis) * Unknown * Neurological symptoms at BM diagnosis (symptomatic, asymptomatic, unknown) * Presence of neurological deficit at BM diagnosis (yes/no/unknown) * Neurological syndromes at BM diagnosis (global cerebral symptoms (headache, nausea, vomiting, dizziness), aphasic, dysarthric, pyramidal, sensory, extrapyramidal, cerebellar/vestibulo-ataxic, bulbar, pseudobulbar, paroxysmal, cognitive, brainstem, visual, meningeal, occlusive, behavioral, unknown) * ECOG performance status at BM diagnosis (0-1, 2-3, unknown) 6. Molecular Profile (where available) * Primary tumor: \- RAS status (mutant/wild-type/unknown; specify codon if available) \- BRAF status (mutant/wild-type/unknown; specify mutation if available) * dMMR/MSI status (MSI/MSS/unknown) * HER2 status (positive/negative/unknown) * Brain metastases: \- RAS status (mutant/wild-type/unknown; specify codon if available) \- BRAF status (mutant/wild-type/unknown; specify mutation if available) * dMMR/MSI status (MSI/MSS/unknown) * HER2 status (positive/negative/unknown) 7. Treatment-Related Data ◾ Lines of systemic therapy prior to BM diagnosis (number; categorized as 0, 1, 2, 3, 4, ≥ 5, unknown) * Lines of systemic therapy after first local treatment (number) * First local treatment modality (see detailed list below) * Number of local treatments per patient (median with range) * For radiotherapy: * Radiation therapy device (Leksell Gamma Knife, Accuray CyberKnife, Varian TrueBeam/Novalis Tx, non-stereotactic linac, other) * Biologically effective dose (BED) (Gy, median with range) * Equivalent dose (EQD2) (Gy, median with range) 8. Institutional and Period Data * Institution type (federal center, reference center, regional center) * Treatment period (by year of primary cancer diagnosis): \- 2000-2010 * 2011-2020 * 2021-2025 Primary Endpoints: 1. Overall Survival (OS): Defined as the time from the date of brain metastasis (BM) diagnosis to the date of death from any cause or last follow-up (censored). 2. Time to Intracranial Progression (TTIP): Defined as the time from the date of initial colorectal cancer (CRC) diagnosis to the date of first BM detection. Based on this interval, patients will be categorized into two groups: \- Synchronous BM: BM diagnosed either prior to or within 2 months (≤ 60 days) of the primary tumor diagnosis. \- Metachronous BM: BM diagnosed more than 2 months (\> 60 days) after the primary tumor diagnosis. 3. Central Nervous System Progression-Free Survival (CNS-PFS): Defined as the time from the date of first local treatment for BM to the date of subsequent intracranial progression or last instrumental follow-up (censored). Subsequent intracranial progression includes: * Continued growth of the treated lesion (≤ 6 months thereof); * Local recurrence of the treated lesion (\> 6 months thereof); * Development of new distant intracranial lesions. Secondary Endpoints: 1. Overall Survival from Initial Diagnosis: Time from initial CRC diagnosis to death from any cause or last follow-up. 2. Cancer-Specific Survival: Time from BM diagnosis to death from cancer progression (intracranial and/or extracranial), accounting for death from other causes as a competing event. 3. Cumulative Incidence of Death from Intracranial Progression: Death directly attributable to neurological complications resulting from progressive intracranial disease, analyzed using competing risks methodology with death from other causes as competing events. 4. Cumulative Incidence of Death from Extracranial Progression: Death attributable to systemic disease progression in the presence of controlled intracranial disease, analyzed using competing risks methodology. 5. Cumulative Incidence of Death from Other Causes: Death from causes unrelated to cancer progression, analyzed using competing risks methodology. 6. Cumulative Incidence of Repeat Local Interventions: The cumulative proportion of patients undergoing any additional local treatment (neurosurgery or radiotherapy) for intracranial disease progression following initial local therapy. This endpoint captures the total burden of repeat procedures required for recurrent or new intracranial lesions during follow-up. Death without a repeat intervention is treated as a competing event in the analysis. Statistical Analysis. All statistical analyses will be performed using IBM SPSS Statistics (version 29.0) and STATA (version 17.0, StataCorp LLC). A two-sided p-value \< 0.05 will be considered statistically significant. \- Descriptive Statistics. Categorical variables will be presented as absolute frequencies (n) and relative frequencies (%). Continuous variables will be assessed for normality. Normally distributed variables will be presented as mean with standard deviation (SD); non-normally distributed variables will be presented as median with interquartile range (IQR) or full range. The frequency of missing data will be reported for each variable. Where appropriate, multiple imputation using chained equations (MICE) will be considered to address missing data and minimize bias. \- Survival Analysis. Survival curves will be estimated using the Kaplan-Meier method. Median survival times with 95% confidence intervals (CI) will be reported. Comparison of survival curves between groups will be performed using the log-rank test and, where appropriate, the Breslow-Wilcoxon test. For analyses of cause-specific death, competing risks methodology will be employed to estimate the cumulative incidence of death from intracranial progression, extracranial progression, and other causes, with death from competing causes treated as a competing event. \- Univariable and Multivariable Analysis. Univariable analysis will be performed to identify potential prognostic factors associated with survival outcomes. For categorical variables, the log-rank test will be used. For continuous variables, univariable Cox proportional hazards regression will be performed. Variables with p \< 0.10 on univariable analysis, as well as clinically relevant factors regardless of significance, will be entered into multivariable Cox proportional hazards regression models to identify independent prognostic factors. The proportional hazards assumption will be tested. Results will be presented as hazard ratios (HR) with 95% CI. \- Preplanned subgroup analyses will be performed based on key variables such as local treatment modality, molecular profile, primary tumor sidedness, timing of brain metastases (synchronous vs. metachronous), and presence of extracranial disease. Specific Analyses: * Analysis of growth kinetics: In patients with available serial imaging, volumetric growth rate (VGR, cm³/day) and volume doubling time (VDT, days) will be calculated. These parameters will be correlated with clinical, molecular, and outcome variables. * Radionecrosis analysis: In patients receiving radiotherapy, the cumulative incidence and time to radionecrosis (TTRN) will be assessed and correlated with treatment modality, dose, volume, and molecular profile. * Temporal trends: Outcomes and treatment patterns will be compared across three time periods (2000-2010, 2011-2020, 2021-2025) to assess changes in practice and survival over time. * Institutional analysis: Outcomes will be compared across institution types (federal, reference, regional centers) to explore potential disparities in care. * GPA index validation: The prognostic accuracy of established Graded Prognostic Assessment (GPA) indices will be evaluated in this cohort and compared with any novel prognostic models developed from this data. Handling of Missing Data. The proportion of missing data will be reported for all variables. Patterns of missingness will be explored. Where appropriate and assuming data are missing at random, multiple imputation using chained equations (MICE) will be performed to impute missing values for key variables in multivariable models. The results of this large-scale, international study aim to provide high-level evidence to guide clinical decision-making and pave the way for personalized treatment approaches for this rare but challenging patient population.