Brain Metastasis-free Survival Research Articles

Prevalence, treatment patterns, and survival of patients with brain metastases from small cell lung cancer: A retrospective study using the TriNetX Oncology Database

Abstract Background Brain metastases (BM) portend increased morbidity and mortality in patients with small cell lung cancer (SCLC). We aimed to characterize the prevalence, timing, treatment patterns, and survival outcomes of BM associated with SCLC over the past decade. Methods Data from 4014 patients with histologically confirmed SCLC were extracted from the TriNetX Oncology database. Clinical and demographic variables were compared between patients with and without BM using Chi-squared and t-tests. Kaplan–Meier and Cox regression analyses were used to evaluate overall survival (OS), after propensity score matching cohorts for age at diagnosis, sex, cancer stage at diagnosis, extracranial metastases, and cancer-directed therapy. Results Among 4014 patients with SCLC, 35.0% had BM (9.9% synchronous, 21.2% metachronous, 3.9% precocious). Patients who developed BM were younger (P < .001) at SCLC diagnosis, more likely Black/African American (P = .0068), and presented with more advanced cancer stages (P < .001) than patients who did not develop BM. The median BM-free survival from the time of SCLC diagnosis was 27.9 months. Patients with BM received higher rates of cancer-directed therapies than those without BM. Synchronous BM was associated with lower OS than metachronous BM after the diagnosis of SCLC (HR[95% CI] = 1.56[1.32–1.83]), but there was no difference in OS after the BM diagnosis. OS did not differ between patients with BM and patients with extracranial metastases only, following the diagnosis of metastatic disease. Conclusions Our findings support that independently of the chronicity of BM diagnosis, patients with SCLC have poor survival once the diagnosis of BM is conferred.

Association of Granulocyte Colony-Stimulating Factor Treatment with Risk of Brain Metastasis in Advanced Stage Breast Cancer.

The routine use of granulocyte colony-stimulating factor (GCSF) is not recommended for the prevention or treatment of chemotherapy-induced neutropenia or febrile neutropenia because risks associated with certain types of cancers, distant organ metastases, and primary tumor growth cannot be excluded. We examined the association between GCSF use and the incidence of brain metastasis (BM), as well as BM-free survival (BMFS). This retrospective cohort study included 121 stage IV breast cancer patients without confirmed BM at the time of diagnosis and who received at least one course of systematic chemotherapy or target therapy at a tertiary teaching hospital between 1 January 2014 and 31 December 2022. The effect of GCSF use on BM was assessed with other confounding factors in Cox regression analyses. In this retrospective cohort, patients who received GCSF treatment had a significantly higher incidence of BM than those who did not (34.9% vs. 13.8%, p = 0.011). Univariate Cox regression analysis showed that GCSF use, menopause status, hormone treatment, HER2 treatment, cumulative dosage, dosage density, and neutropenia were independent risk factors for BMFS (p < 0.05). GCSF users had a higher risk of BM (adjusted HR: 2.538; 95% CI: 1.127-5.716, p = 0.025) than nonusers. BM risk was significantly associated with those with neutropenia (RR: 1.84, 95% CI: 1.21, 2.80) but not with those without neutropenia (RR: 0.59, 95% CI: 0.41-0.84, Interaction p-value < 0.05). The higher the dose density of GCSF, the higher the risk compared with those who do not use GCSF (p for trend < 0.01). These preliminary results suggest that GCSF is associated with BM in patients with stage IV breast cancer who did not have BM at initial diagnosis. Further comprehensively designed large-scale observational studies are needed to confirm our preliminary results.

IASLC grading system predicts distant metastases for resected lung adenocarcinoma

AimsThe International Association for the Study of Lung Cancer (IASLC) has proposed a new histological grading system for invasive lung adenocarcinoma (LUAD). However, the efficacy of this grading system in...

Effect of HER2-low status on brain metastasis-free survival and survival after brain metastasis in patients with breast cancer.

The discovery of novel human epidermal growth factor receptor 2 (HER2)-directed antibody‒drug conjugates has accelerated the identification of the HER2-low subtype. However, the biological significance of low HER2 expression in breast cancer brain metastasis (BCBM) is unclear. Patients with HER2-negative BC and brain metastasis were retrospectively screened between February 2012 and November 2023. Brain metastasis-free survival (BMFS) and survival after brain metastasis (SABM) were analyzed according to HER2 expression. A total of 201 female patients, 84 of whom were HER2-low and 117 of whom were HER2-zero, were evaluated. The median BMFS in the entire cohort was 35.6months (95% CI 29.8-41.4). Although HER2-low patients had numerically longer median BMFS than HER2-zero patients (43.7m vs. 30.1m, p = 0.025), multivariate analysis revealed that the difference was not significant (p = 0.167). BMFS between the HER2-low and HER2-zero groups was similar in the hormone receptor (HR)-positive (52.8m vs. 47.6m, p = 0.276) and HR-negative (15.3m vs. 19.7m, p = 0.930) cohorts. The median SABM in the entire cohort was 6.0months (95% CI 3.8-8.1). HER2-low and HER2-zero patients had similar median SAMB (5.4m vs. 6.1m, p = 0.816). The SABM between the HER2-low and HER2-zero groups was similar in the HR-positive (6.3m vs. 8.7m, p = 0.375) and HR-negative (3.3m vs. 4.2m, p = 0.783) cohorts. Low HER2 expression does not affect BMFS or SAMB in brain metastatic breast cancer patients in this real-world population.

Computed tomography-based radiomics and clinical-genetic features for brain metastasis prediction in patients with stage III/IV epidermal growth factor receptor-mutant non-small-cell lung cancer.

To evaluate the value of computed tomography (CT)-based radiomics combined with clinical-genetic features in predicting brain metastasis in patients with stage III/IV epidermal growth factor receptor (EGFR)-mutant non-small-cell lung cancer (NSCLC). The study included 147 eligible patients treated at our institution between January 2018 and May 2021. Patients were randomly divided into two cohorts for model training (n = 102) and validation (n = 45). Radiomics features were extracted from the chest CT images before treatment, and a radiomics signature was constructed using the Least Absolute Shrinkage and Selection Operator regression. Kaplan-Meier survival analysis was used to describe the differences in brain metastasis-free survival (BM-FS) risk. A clinical-genetic model was developed using Cox regression analysis. Radiomics, genetic, and combined prediction models were constructed, and their predictive performances were evaluated by the concordance index (C-index). Patients with a low radiomics score had significantly longer BM-FS than those with a high radiomics score in both the training (p < 0.0001) and the validation (p = 0.0016) cohorts. The C-indices of the nomogram, which combined the radiomics signature and N stage, overall stage, third-generation tyrosine kinase inhibitor treatment, and EGFR mutation status, were 0.886 (95% confidence interval [CI] 0.823-0.949) and 0.811 (95% CI 0.719-0.903) in the training and validation cohorts, respectively. The combined model achieved a higher discrimination and clinical utility than the single prediction models. The combined radiomics-genetic model could be used to predict BM-FS in stage III/IV NSCLC patients with EGFR mutations.

Evaluation of the prognosis in patients with small-cell lung cancer treated by chemotherapy using tumor shrinkage rate-based radiomics

BackgroundSmall-cell lung cancer (SCLC) is a leading cause of cancer-related death. However, the prognostic value of the tumor shrinkage rate (TSR) after chemotherapy for SCLC is still unknown.MethodsWe performed a retrospective analysis of 235 patients with SCLC. The TSR cutoff was determined based on receiver-operating characteristic curve analysis. The associations of TSR with progression-free survival (PFS) and overall survival (OS) were assessed using univariate and multivariate Cox proportional hazards models. Survival curves were obtained by the Kaplan–Meier method and compared using the log-rank test. Recurrence patterns after first-line treatment were summarized in a pie chart. A nomogram was constructed to validate the predictive role of the TSR in SCLC.ResultsThe TSR cutoff was identified to be − 6.6%. Median PFS and OS were longer in the group with a TSR < –6.6% than in the group with a TSR ≥ − 6.6%. PFS and OS were also longer in patients with extensive SCLC when the TSR was < − 6.6% than when it was > − 6.6%. Brain metastasis-free survival was better in the group with a TSR < − 6.6%. There was a significant positive correlation between TSR and PFS. Furthermore, univariate and multivariate regression analyses showed that the TSR, patient age, and previous radiotherapy were independent prognostic factors for OS while TSR and M stage were independent prognostic factors for PFS.ConclusionsThe TSR may prove to be a good indicator of OS and PFS in patients receiving chemotherapy-based first-line treatment for SCLC.

Comprehensive analysis of stereotactic Radiosurgery outcomes in triple-negative breast cancer patients with brain metastases: The influence of immunotherapy and prognostic factors

IntroductionBreast cancer stands as the second most common solid tumors with a propensity for brain metastasis. Among metastatic breast cancer cases, the brain metastasis incidence ranges from 10 % to 30 %, with triple-negative breast cancer (TNBC) displaying a heightened risk and poorer prognosis. SRS has emerged as an effective local treatment modality for brain metastases; however, data on its outcomes specifically in pure triple-negative subtype remain scarce. MethodWe retrospectively reviewed the electronic medical records of all brain metastasis (BM) TNBC patients treated with SRS. Patient, tumour characteristics and treatment details data were collected. This retrospective cohort study aimed to evaluate local control (LC), distant brain metastasis free survival (DBMFS), and overall survival (OS) outcomes in TNBC patients undergoing SRS for brain metastases while identifying potential prognostic factors. ResultForty-three patients with TNBC and brain metastases treated with SRS between January 2017 and 2023 were included. The study found rates of LC (99 % at 1 year) and DBMFS (76 % at 1 year) after SRS, with brain metastasis count (p = 0,003) and systemic treatment modality (p = 0,001) being significant predictors of DBMFS. The median OS following SRS was 19.5 months, with neurological deficit (p = 0.003) and systemic treatment modality (p = 0.019) identified as significant predictors of OS. ConclusionSRS demonstrates favourable outcomes in terms of local control and distant brain metastasis-free survival in TNBC. Neurological deficit and systemic treatment significantly influence overall survival, emphasizing the importance of personalized treatment approaches and (magnetic resonance imaging) MRI surveillance based on these factors.

Dual-agent immunotherapy for prevention of melanoma brain metastases: A real-world analysis of 8686 patients.

2022 Background: Melanoma brain metastases (MBM) are a common endpoint among patients with advanced melanoma and prognosis is poor. Strategies for MBM prevention can prolong life and reduce morbidity. Dual agent immunotherapy (dIT) has been paradigm-changing in management malignant melanoma management. Recent clinical trials have supported the role of dIT for upfront management of small, asymptomatic MBM. Yet, its potential role in extending brain metastasis-free survival (BMFS) and decreasing MBM incidence overall has not been explored. The objective was to compare MBM incidence, median overall survival (OS), and BMFS in melanoma patients treated with dIT versus single immunotherapy (sIT). Methods: A real-world deidentified database collating clinical information from 92 organizations (TriNetX, Inc.) was queried. Melanoma patients without brain metastases prior to immunotherapy were stratified by treatment (anti-CTLA4 [sIT] and combination anti-CTLA4/ anti-PD1 [dIT]) and propensity-score matched. MBM incidence was measured within 5 years post-IT initiation. A complementary single-institution retrospective cohort study analyzed melanoma patients treated from 2012-2019. Median OS and BMFS were compared via log-rank tests and multivariate Cox proportional-hazards models. A competing risk analysis was performed to measure the cumulative incidences of MBM and death without MBM. Results: TriNetX identified 8,686 melanoma patients who received immunotherapy (4,585 dIT; 4,101 sIT). MBM incidence was 13.4%, and 19.3%, for the dIT and sIT cohorts, respectively (p &lt; 0.0001). DIT was associated with a lower likelihood of developing MBM compared to sIT (RR [95%CI], 0.69 [0.62-0.77]). After propensity-score matching on demographics and comorbidities, MBM incidence was similarly 13.3% and 18.5% for the dIT and sIT cohorts, respectively. On single-institution analysis, 130 melanoma patients were included (87 dIT; 43 sIT with anti-CTLA4). In patients with stage IV disease, median OS was 1.70 and 3.66 years for the sIT and dIT cohorts, respectively (p=0.6). Median BMFS was 1.56 and 2.36 years in the sIT and dIT cohorts respectively (p=0.76). On multivariable Cox proportional hazard regression analysis, NRAS mutation was significantly correlated with a worse prognosis for BMFS. Conclusions: These data highlight the impact of combination anti-CTL4/ anti-PD1 immunotherapy in decreasing MBM incidence. The potential primary prophylactic role of dIT in MBM warrants prospective exploration, including mechanistic understanding.

The clinical, molecular, and therapeutic implications of time from primary diagnosis to brain metastasis in lung and breast cancer patients

AbstractPurposeLung cancer (LC) and breast cancer (BC) are the most common causes of brain metastases (BMs). Time from primary diagnosis to BM (TPDBM) refers to the time interval between initial LC or BC diagnosis and development of BM. This research aims to identify clinical, molecular, and therapeutic risk factors associated with shorter TPDBM.MethodsWe retrospectively reviewed all diagnosed LC and BC patients with BM at Harbin Medical University Cancer Hospital from 2016 to 2020. A total of 570 patients with LC brain metastasis (LCBM) and 173 patients with breast cancer brain metastasis (BCBM) patients who met the inclusion criteria were enrolled for further analysis. BM free survival time curves were generated using Kaplan–Meier analyses. Univariate and multivariate Cox regression analyses were applied to identify risk factors associated with earlier development of BM in LC and BC, respectively.ResultsThe median TPDBM was 5.3 months in LC and 44.4 months in BC. In multivariate analysis, clinical stage IV and M1 stage were independent risk factors for early development of LCBM. LC patients who received chemotherapy, targeted therapy, pulmonary radiotherapy, and pulmonary surgery had longer TPDBM. For BC patients, age ≥ 50 years, Ki67 ≥ 0.3, HER2 positive or triple‐negative breast cancer subtype, advanced N stage, and no mastectomy were correlated with shorter TPDBM.ConclusionsThis single‐institutional study helps identify patients who have a high risk of developing BM early. For these patients, early detection and intervention could have clinical benefits.

The development of brain metastases in patients with different therapeutic strategies for metastatic renal cell cancer.

A diagnosis of brain metastasis (BM) significantly affects quality of life in patients with metastatic renal cell cancer (mRCC). Although systemic treatments have shown efficacy in mRCC, active surveillance (AS) is still commonly used in clinical practice. In this single-center cohort study, we assessed the impact of different initial treatment strategies for metastatic RCC (mRCC) on the development of BM. All consecutive patients diagnosed with mRCC between 2011 and 2022 were included at the Erasmus MC Cancer Institute, the Netherlands, and a subgroup of patients with BM was selected. In total, 381 patients with mRCC (ECM, BM, or both) were identified. Forty-six patients had BM of whom 39 had metachronous BM (diagnosed ≥1 month after ECM). Twenty-five (64.1%) of these 39 patients with metachronous BM had received prior systemic treatment for ECM and 14 (35.9%) patients were treatment naive at BM diagnosis. The median BM-free survival since ECM diagnosis was significantly longer (p = .02) in previously treated patients (29.0 [IQR 12.6-57.0] months) compared to treatment naive patients (6.8 [IQR 1.0-7.0] months). In conclusion, patients with mRCC who received systemic treatment for ECM prior to BM diagnosis had a longer BM-free survival as compared to treatment naïve patients. These results emphasize the need for careful evaluation of treatment strategies, and especially AS, for patients with mRCC.

Abstract PO3-18-11: A011801 (CompassHER2 RD): Postneoadjuvant T-DM1 + tucatinib/placebo in patients with residual HER2-positive invasive breast cancer

Abstract Background: Patients with HER2+ early breast cancer (EBC) and invasive residual disease (RD) after neoadjuvant therapy (NAT) have a higher risk of relapse than patients who have a pathologic complete response (pCR). Escalation of therapy in patients with RD using post-neoadjuvant T-DM1 has become the new standard of care, leading to improved invasive disease-free survival (iDFS), but patients with estrogen receptor (ER)-negative or nodal RD have suboptimal outcomes, and central nervous system recurrences are a challenge. More effective treatment strategies are urgently needed. Alliance A011801 (CompassHER2 RD) is an escalation trial for patients with high-risk HER2+ RD after neoadjuvant systemic therapy, evaluating the addition of the HER2 selective tyrosine kinase inhibitor (TKI) tucatinib to post-neoadjuvant T-DM1. Methods: Eligibility and Intervention: Patients with high-risk HER2+ RD (i.e., ER-, node-positive, or both) after a predefined course of neoadjuvant HER2-directed treatment are randomized 1:1 to adjuvant T-DM1 + placebo, vs. T-DM1 and tucatinib with adjuvant RT +/- ET. Eligibility criteria include completion of ≥ 6 cycles of NAT, including ≥ 9 weeks of paclitaxel and trastuzumab +/- pertuzumab. All chemotherapy (CT) must be completed preoperatively unless participating in EA1181 (~15-30% will be participants in the CompassHER2 pCR de-escalation companion trial [NCT04266249]; these patients must receive postoperative CT to complete ≥ 6 cycles prior to enrollment on A011801). Patients who received prior HER2-targeted TKIs or antibody-drug conjugates are ineligible. Objectives: The primary objective is to determine if iDFS is improved with addition of tucatinib to T-DM1 in patients with HER2+ EBC with RD after neoadjuvant systemic therapy; secondary endpoints include overall survival, breast cancer free survival, distant recurrence-free survival, brain metastases-free survival and disease-free survival. Correlative objectives include the association of i) tumor infiltrating lymphocyte (TILs) levels in the primary tumor and RD with iDFS, ii) TILs with tucatinib benefit, iii) iDFS and circulating tumor cells (CTC) at serial timepoints and iv) the magnitude of benefit of tucatinib (iDFS) in patients with/without detectable pretreatment CTCs. Quality of life and pharmacokinetic endpoints are also being evaluated. Statistics: A011801 is a prospective, double-blind, randomized, phase III superiority trial; stratified by i) receipt of postoperative CT (Y/N), ii) hormone receptor-status (+/-), and iii) pathologic lymph node status (+/-). The study targets an absolute difference of 5% in iDFS (control vs. experimental arm 82% &amp; 87%, HR = 0.7), with a two-sided alpha of 0.05 and power of 80%. The sample size is 981; target accrual = 1031 patients; activation and estimated completion dates are 01/6/21 and ~ 01/2028. Accrual as of 7/10/2023: 438 patients. Support: U10CA180821, U10CA180882; Seagen Inc; https://acknowledgments.alliancefound.org. ClinicalTrials.gov Identifier: NCT04457596 Citation Format: Ciara O'Sullivan, Karla Ballman, Linda McCall, Tyler Zemla, Anna Weiss, Melissa Mitchell, Victoria Blinder, Nadine Tung, William Irvin, Myounghee Lee, Sailaja Kamaraju, Matthew Goetz, W. Fraser Symmans, Virginia Borges, Ian Krop, Ann Partridge, Lisa Carey. A011801 (CompassHER2 RD): Postneoadjuvant T-DM1 + tucatinib/placebo in patients with residual HER2-positive invasive breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-18-11.

Rational and design of prophylactic cranial irradiation (PCI) and brain MRI surveillance versus brain MRI surveillance alone in patients with limited-stage small cell lung cancer achieving complete remission (CR) of tumor after chemoradiotherapy: a multicenter prospective randomized study

BackgroundProphylactic cranial irradiation (PCI) is part of standard care in limited-stage small cell lung cancer (SCLC) at present. As evidence from retrospective studies increases, the benefits of PCI for limited-stage SCLC are being challenged.MethodsA multicenter, prospective, randomized controlled study was designed. The key inclusion criteria were: histologically or cytologically confirmed small cell carcinoma, age ≥ 18 years, KPS ≥ 80, limited-stage is defined as tumor confined to one side of the chest including ipsilateral hilar, bilateral mediastinum and supraclavicular lymph nodes, patients have received definitive thoracic radiotherapy (regardless of the dose-fractionation of radiotherapy used) and chemotherapy, evaluated as complete remission (CR) of tumor 4–6 weeks after the completion of chemo-radiotherapy. Eligible patients will be randomly assigned to two arms: (1) PCI and brain MRI surveillance arm, receiving PCI (2.5 Gy qd to a total dose of 25 Gy in two weeks) followed by brain MRI surveillance once every three months for two years; (2) brain MRI surveillance alone arm, undergoing brain MRI surveillance once every three months for two years. The primary objective is to compare the 2-year brain metastasis-free survival (BMFS) rates between the two arms. Secondary objectives include 2-year overall survival (OS) rates, intra-cranial failure patterns, 2-year progression-free survival rates and neurotoxicity. In case of brain metastasis (BM) detect during follow-up, stereotactic radiosurgery (SRS) will be recommended if patients meet the eligibility criteria.DiscussionBased on our post-hoc analysis of a prospective study, we hypothesize that in limited-stage SCLC patients with CR after definitive chemoradiotherapy, and ruling out of BM by MRI, it would be feasible to use brain MRI surveillance and omit PCI in these patients. If BM is detected during follow-up, treatment with SRS or whole brain radiotherapy does not appear to have a detrimental effect on OS. Additionally, this approach may reduce potential neurotoxicity associated with PCI.

Abstract 3782: IASLC grading system predict distant metastases for resected lung adenocarcinoma

Abstract The International Association for the Study of Lung Cancer (IASLC) proposed a new histological grading system for invasive lung adenocarcinoma (LUAD). However, whether this new grading system is able to predict distant metastases in LUAD patients has not been evaluated. This study investigated the feasibility of using this grading system to predict the occurrence of brain and bone metastases in patients with resectable LUAD which identifies patients who have a high probability of developing distant metastases after surgery. We collected clinical information and pathological reports of 179 early stage LUAD patients who underwent resection during 2008 to 2015 from Wake Forest Comprehensive Cancer Center. All patients were followed up for 5 years and both bone and brain metastasis-free survival were calculated. Tumor grading of all samples was evaluated by both IASLC grading and predominant pattern-based grading systems. The ability of predicting distant metastases using IASLC grading and tumor stage were examined by receiver operating characteristic curves (ROC). 28 out of 179 patients developed distant metastases in five years with a median overall survival of 60 months for metastasis-free patients and 38.9 for patients with distant metastasis. Compared to predominant pattern-based grading system, IASLC grading system showed a stronger correlation with distant metastasis incidence. Complex gland pattern is enriched in patients who developed bone and brain metastases compared to metastasis-free patients. IASLC grading system also showed a superior prediction power of distant metastasis compared to tumor stage with area under curve (AUC) of 0.69 for brain metastasis and 0.71 for bone metastasis. IASLC grading system is capable of predicting the incidence of distant metastasis among early-stage invasive LUAD patients. Citation Format: Yuezhu Wang, Margaret R. Smith, Yin Liu, Mary E. Green, Omer A. Hassan, Alexandra M. Balmaceda, Tammy Sexton, Wencheng Li, Fei Xing. IASLC grading system predict distant metastases for resected lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3782.

Comprehensive genomic and clinical analyses identify APOBEC mutational signatures as a brain metastasis risk factor in lung adenocarcinoma patients

BackgroundLung adenocarcinoma is the most common source of brain metastasis (BM), resulting in significant morbidity and mortality. We aimed to identify patients with high BM risk who possibly benefit from brain-penetrant drugs, prophylactic cranial irradiation, or close brain magnetic resonance imaging surveillance. MethodsMetastatic lung adenocarcinoma patients with extracranial tumor samples profiled by a next-generation sequencing panel targeting 425 tumor-related genes were retrospectively enrolled between February 2008 and July 2021. We compared BM and non-BM patients’ genomic and clinical features and studied their associations with BM risk. Two external cohorts were used for result validation and molecular mechanisms investigation, respectively. ResultsWe included 174 eligible patients, including 90 having developed BM by the end of follow-up. Age≤60, EGFR activating mutations, and high-level apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like (APOBEC) mutational signatures were associated with elevated BM risk. Similar findings in BM-free survival were obtained by fitting Fine-Gray subdistribution hazard models addressing competing risks. Increased BM risk related to APOBEC mutational signatures was validated in an external cohort (N = 440). RNA sequencing data analyses performed in another external cohort (N = 230) revealed that expressions of metastasis-related pathways such as transforming growth factor (TGF)β and epithelial-mesenchymal transition (EMT) were upregulated in the patients with high-level APOBEC mutational signatures. ConclusionAPOBEC mutational signatures related to upregulated TGFβ and EMT, could serve as an independent risk factor for BM and BM-free survival in metastatic lung adenocarcinoma patients. Further investigations are warranted to tailor personalized treatments to improve the susceptible patient's outcomes.

Pathological Complete Response as Outcome Modifier in Breast Cancer Patients and Brain Metastasis.

Breast cancer with brain metastases (BCBM) has dreadful outcomes. Various factors influencing outcomes are age, receptors status, number of distant metastases, performance status, leptomeningeal metastasis, chemotherapies, and whole brain radiation dose. This study aimed to find outcome-modifying factors in BCBM. Clinical, demographic, subtype, and pathological response of primary brain imaging characteristics of BCBM patients were correlated with brain metastasis-free interval and survival after brain metastasis was studied from January 2020 to March 2022. Triple-negative breast cancer (TNBC) patients had the earliest presentation for brain metastases (mean 45.4years) vs luminal B (mean 57.93years). Both brain metastasis-free interval (BMFI) and brain metastasis overall survival (BMOS) were maximum in HER2-positive subtype (mean 22.8 and 11.55months) and least in TNBC patients (mean 9.8 and 2.12months), respectively. Low-graded prognosis assessment (GPA) score and leptomeningeal metastasis were associated with the worst outcomes. BMFI and BMOS in patients with pathological complete response (PCR) were at 28.5 and 15.1months, in partial response were 18.5 and 7.66months, and with stable or progressive disease were 11 and 1.36months, respectively. In the present study, PCR was the only modifiable parameter that changed breast cancer outcomes with brain metastasis and leptomeningeal metastasis was associated with the worst outcomes. Our study favors that PCR has prognostic importance.

Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model

BackgroundBrain metastasis (BM) is most common in non-small cell lung cancer (NSCLC) patients. This study aims to enhance BM risk prediction within three years for advanced NSCLC patients by using a deep learning-based segmentation and computed tomography (CT) radiomics-based ensemble learning model.MethodsThis retrospective study included 602 stage IIIA-IVB NSCLC patients, 309 BM patients and 293 non-BM patients, from two centers. Patients were divided into a training cohort (N = 376), an internal validation cohort (N = 161) and an external validation cohort (N = 65). Lung tumors were first segmented by using a three-dimensional (3D) deep residual U-Net network. Then, a total of 1106 radiomics features were computed by using pretreatment lung CT images to decode the imaging phenotypes of primary lung cancer. To reduce the dimensionality of the radiomics features, recursive feature elimination configured with the least absolute shrinkage and selection operator (LASSO) regularization method was applied to select the optimal image features after removing the low-variance features. An ensemble learning algorithm of the extreme gradient boosting (XGBoost) classifier was used to train and build a prediction model by fusing radiomics features and clinical features. Finally, Kaplan‒Meier (KM) survival analysis was used to evaluate the prognostic value of the prediction score generated by the radiomics–clinical model.ResultsThe fused model achieved area under the receiver operating characteristic curve values of 0.91 ± 0.01, 0.89 ± 0.02 and 0.85 ± 0.05 on the training and two validation cohorts, respectively. Through KM survival analysis, the risk score generated by our model achieved a significant prognostic value for BM-free survival (BMFS) and overall survival (OS) in the two cohorts (P < 0.05).ConclusionsOur results demonstrated that (1) the fusion of radiomics and clinical features can improve the prediction performance in predicting BM risk, (2) the radiomics model generates higher performance than the clinical model, and (3) the radiomics-clinical fusion model has prognostic value in predicting the BMFS and OS of NSCLC patients.

Predictive value of metabolic parameters derived from preoperative 18F-FDG positron emission tomography/computed tomography for brain metastases in patients with surgically resected non-small cell lung cancer.

Brain metastases (BMs) are common complications in patients with non-small cell lung cancer (NSCLC). The purpose of this study was to investigate whether the metabolic parameters derived from preoperative 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) can predict BM development in patients with surgically resected NSCLC. We retrospectively reviewed 128 consecutive patients with stage I-IIIA NSCLC who underwent 18F-FDG PET/CT before curative surgery at The First Affiliated Hospital of Jinan University between November 2012 and October 2021. By drawing a volume of interest (VOI), the maximum standardized uptake values (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the primary tumor as well as the mean SUV (SUVmean) of the liver and arterial blood were measured. The tumor-to-liver SUV ratio (TLR) and tumor-to-blood SUV ratio (TBR) were also calculated. Receiver operating characteristic curve analysis was used to determine the best cut-off values for positron emission tomography (PET) parameters to predict BM-free survival, and Cox proportional hazards regression analysis was used to assess the predictive value of clinical variables and PET parameters. The median follow-up duration for survival patients was 23.4 months, and 15 patients (11.7%) experienced BM as the initial relapse site. The cumulative rates of BM over the course of 1, 2, and 5 years were 4.5%, 10.5%, and 17.5%, respectively. The optimal cut-off values for the prediction of BM-free survival were 7.7, 4.9, and 4.5 for SUVmax, TLR, and TBR, and 5.5 mL and 16.1 for MTV and TLG, respectively. In the Cox proportional hazards model, the risk of BM was significantly associated with TLR [hazard ratio (HR) =10.712; 95% confidence interval (CI): 2.958-38.801; P<0.001] and MTV (HR =3.150; 95% CI: 0.964-10.293; P=0.020) after adjusting for tumor stage, clinicopathological factors, and other PET parameters. Preoperative TLR and MTV of the primary tumor may be helpful in predicting BM development in patients with surgically resected NSCLC. Tumor metabolic parameters may potentially be used to stratify the risk of BM and determine individualized surveillance strategies.

First-site-metastasis pattern in patients with inoperable stage III NSCLC treated with concurrent chemoradiotherapy with or without immune check-point inhibition: a retrospective analysis

Abstract Purpose The aim of this study was to investigate a first-site-metastasis pattern (FSMP) in unresectable stage III NSCLC after concurrent chemoradiotherapy (cCRT) with or without immune checkpoint inhibition (ICI). Methods We defined three patient subgroups according to the year of initial multimodal treatment: A (2011–2014), B (2015–2017) and C (2018–2020). Different treatment-related parameters were analyzed. Observed outcome parameters were brain metastasis-free survival (BMFS), extracranial distant metastasis-free survival (ecDMFS) and distant metastasis-free survival (DMFS). Results 136 patients treated between 2011 and 2020 were included with ≥ 60.0 Gy total dose and concurrent chemotherapy (cCRT); thirty-six (26%) received ICI. Median follow-up was 49.7 (range:0.7–126.1), median OS 31.2 (95% CI:16.4–30.3) months (23.4 for non-ICI vs not reached for ICI patients, p = 0.001). Median BMFS/ecDMFS/DMFS in subgroups A, B and C was 14.9/16.3/14.7 months, 20.6/12.9/12.7 months and not reached (NR)/NR/36.4 months (p = 0.004/0.001/0.016). For cCRT+ICI median BMFS was 53.1 vs. 19.1 months for cCRT alone (p = 0.005). Median ecDMFS achieved 55.2 vs. 17.9 (p = 0.003) and median DMFS 29.5 (95% CI: 1.4–57.6) vs 14.93 (95% CI:10.8–19.0) months (p = 0.031), respectively. Multivariate analysis showed that age over 65 (HR:1.629; p = 0.036), GTV ≥ 78 cc (HR: 2.100; p = 0.002) and V20 ≥ 30 (HR: 2.400; p = 0.002) were negative prognosticators for BMFS and GTV ≥ 78 cc for ecDMFS (HR: 1.739; p = 0.027). After onset of brain metastasis (BM), patients survived 13.3 (95% CI: 6.4–20.2) months and 8.6 months (95% CI: 1.6–15.5) after extracranial-distant-metastasis (ecDM). Patients with ecDM as FSMP reached significantly worse overall survival of 22.1 (range:14.4–29.8) vs. 40.1 (range:18.7–61.3) months (p = 0.034) in the rest of cohort. In contrast, BM as FSMP had no impact on OS. Conclusion This retrospective analysis of inoperable stage III NSCLC patients revealed that age over 65, V20 ≥ 30 and GTV ≥ 78 cc were prognosticators for BMFS and GTV ≥ 78 cc for ecDMFS. ICI treatment led to a significant improvement of BMFS, ecDMFS and DMFS. ecDM as FSMP was associated with significant deterioration of OS, whereas BM as FSMP was not.

IMMU-02. IS DUAL AGENT IMMUNOTHERAPY SHIFTING THE EPIDEMIOLOGY OF MELANOMA BRAIN METASTASES? A REAL-WORLD ANALYSIS AND SINGLE-INSTITUTION VALIDATION

Abstract INTRODUCTION Dual agent immunotherapy (dIT) has been paradigm changing in melanoma brain metastasis (MBM). Recent clinical trials have supported the role of dIT for upfront management of small, asymptomatic MBM. Yet, its potential role in extending brain metastasis free survival and decreasing MBM incidence overall has been inadequately explored. Objective: To compare new brain metastasis incidence, median overall survival (OS), and brain metastasis free survival (BMFS) in melanoma patients treated with dIT versus single immunotherapy (sIT). METHODS A real-world deidentified database collating clinical information from 92 organizations (TriNetX, Inc) was queried. Melanoma patients without brain metastases prior to immunotherapy were stratified by treatment (anti-CTLA4 [sIT] and combination anti-CTLA4/ anti-PD1 [dIT]) and propensity score matched. A complementary single-institution retrospective cohort study analyzed melanoma patients treated from 2012-2019. The incidence of new asynchronous MBMs after immunotherapy initiation was compared. Median OS and BMFS were compared via log-rank tests and Cox proportional-hazards model. RESULTS TriNetX identified 8,686 melanoma patients who received immunotherapy (4,585 dIT; 4,101 sIT). MBM prevalence was 9.6%, and 15.6%, for the dIT and sIT cohorts, respectively (p &amp;lt; 0.0001). DIT was associated with a lower likelihood of developing MBM compared to sIT (OR [95%CI], 0.64 [0.61-0.77]). After propensity score matching on demographics and significant comorbidities, OS was not statistically different between treatment groups. On single-institution analysis, 222 melanoma patients were included (89 dIT; 45 anti-CTLA4; 88 anti-PD1). Patients were predominantly stage III at diagnosis (43%) with PD-L1 expression (51%) and BRAF (43%), and NRAS wildtype (50%) mutational status. BMFS was significantly extended in the dIT cohort compared to the anti-CTLA4 or anti-PD1 alone cohorts (406, 217, 139 days, respectively; p&amp;lt; 0.0001). On Cox-proportional hazards model, no covariates significantly contributed to the BMFS difference. CONCLUSION These data highlight the impact of combination anti-CTL4/ anti-PD1 immunotherapy in decreasing BM incidence in melanoma.

NCMP-01. TREATMENT STRATEGIES IN PATIENTS WITH RENAL CELL CANCER AND BRAIN METASTASES

Abstract BACKGROUND Brain metastases (BM) significantly impact quality of life and survival in patients with metastatic renal cell cancer (mRCC). Based on the International Metastatic RCC Database Consortium (IMDC) risk classification, treatment strategies for patients with mRCC vary from systemic treatment with vascular endothelial growth factor receptor-tyrosine kinase inhibitors (VEGFR-TKIs) and/or immune checkpoint inhibitors (ICIs) to active surveillance (AS). Here, we describe the impact of treatment strategies on survival in patients with RCC and BM. METHODS We conducted a single-center, retrospective cohort study at Erasmus MC Cancer Institute (Rotterdam, Netherlands). All consecutive patients with RCC BM between 2011-2022 were included. Primary outcome was the BM-free survival, i.e. the time between diagnosis of extracranial metastases (ECM) and BM. Secondary outcome was overall survival (OS). RESULTS 46 patients with RCC BM were included: 25 (54.3%) had received prior systemic treatment for ECM, and 21 (45.7%) were treatment naive at diagnosis of BM. IMDC scores (favorable 12% resp. 0%, intermediate 48% resp. 64%, poor 24% resp. 0%, unknown 16% resp. 36%) were not significantly different (p=0.07) between these groups. In 39 (84.8%) of 46 patients, BM were metachronous ( &amp;gt;1 month) after ECM. In these patients (n=39), the median BM-free survival was 22.3 (IQR 5.7-46.7) months and was significantly longer (p=0.02) in previously treated patients (29.0 [IQR 12.6-57.0] months) as compared to treatment naive patients (6.8 [IQR 1.0-7.0] months). However, median OS since ECM diagnosis (39.1 [IQR 16.5-111.5] months) was not significantly different (p=0.62) between previously treated and treatment naive patients. CONCLUSION Patients with RCC who received systemic treatment for ECM prior to BM diagnosis, had a longer BM-free survival as compared to patients without previous systemic treatment. These results emphasize the need for careful evaluation of AS in patients with mRCC, even in patients with a favorable prognostic profile.