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Brain metastases in sarcoma are exceedingly rare, with few published series documenting ranges from 1% to 8%. This study investigated the outcomes of sarcoma patients with brain metastases using a population-based analysis. This was a retrospective review of 5933 patients with high-grade sarcoma identified from the Surveillance, Epidemiology, and End Results database between 2010 and 2015. Of the eligible 5933 patients, 0.7% (n = 44) had brain metastasis. Kaplan–Meier was used to estimate survival and follow-up (reverse Kaplan–Meier), and a multivariable Cox proportional hazards model analyzed prognostic factors of disease-free survival (DFS). Median (IQR) follow-up of all eligible patients was 28 months (12; 47). Patients who developed brain metastasis had a higher proportion of N1 stage disease (p < 0.001), as well as synchronous metastasis to bones, liver, and lungs compared to those without brain metastasis (all p < 0.001). The median (IQR) DFS with brain metastasis was 6 months (2; 12), and survival with brain metastasis was significantly worse than DFS in patients without brain metastasis (p < 0.001). Among those with brain metastasis only, there was no difference in DFS with respect to sex, race, primary tumor origin, T stage or N stage disease, synchronous metastasis to bone, liver or lung, nor with respect to chemotherapy or radiation for treatment of the primary tumor (all p > 0.05). For sarcoma patients with brain metastasis, the outcomes are poor and do not appear to differ by clinicopathologic factors. However, patients with certain histologies and synchronous metastases may warrant more frequent surveillance as there was an association of brain metastasis with these factors.

Background The VeriStrat test is a serum proteomic signature originally discovered in non-responders to second line gefitinib treatment and subsequently used to predict differential benefit from erlotinib versus chemotherapy in previously treated advanced non-small cell lung cancer (NSCLC). Multiple studies highlight the clinical utility of the VeriStrat test, however, the mechanistic connection between VeriStrat-poor classification and poor prognosis in untreated and previously treated patients is still an active area of research. The aim of this study was to correlate VeriStrat status with other circulating biomarkers in advanced NSCLC patients – each with respect to clinical outcomes. Methods Serum samples were prospectively collected from 57 patients receiving salvage chemotherapy and 70 non-EGFR mutated patients receiving erlotinib. Patients were classified as either VeriStrat good or poor based on the VeriStrat test. Luminex immunoassays were used to measure circulating levels of 102 distinct biomarkers implicated in tumor aggressiveness and treatment resistance. A Cox PH model was used to evaluate associations between biomarker levels and clinical outcome, whereas the association of VeriStrat classifications with biomarker levels was assessed via the Mann-Whitney Rank Sum test. Results VeriStrat was prognostic for outcome within the erlotinib treated patients (HR = 0.29, p  < 0.0001) and predictive of differential treatment benefit between erlotinib and chemotherapy ((interaction HR = 0.25; interaction p  = 0.0035). A total of 27 biomarkers out of 102 unique analytes were found to be significantly associated with OS (Cox PH p  ≤ 0.05), whereas 16 biomarkers were found to be associated with PFS. Thrombospondin-2, C-reactive protein, TNF-receptor I, and placental growth factor were the analytes most highly associated with OS, all with Cox PH p -values ≤0.0001. VeriStrat status was found to be significantly associated with 23 circulating biomarkers (Mann-Whitney Rank Sum p ≤ 0.05), 6 of which had p  < 0.001, including C-reactive protein, IL-6, serum amyloid A, CYFRA 21.1, IGF-II, osteopontin, and ferritin. Conclusions Strong associations were observed between survival and VeriStrat classifications as well as select circulating biomarkers associated with fibrosis, inflammation, and acute phase reactants as part of this study. The associations between these biomarkers and VeriStrat classification might have therapeutic implications for poor prognosis NSCLC patients, particularly with new immunotherapeutic treatment options.

Background The primary objective of this study was to assess the frequency of body composition increases and their relationships to changes in body weight in two cohorts of real world, treatment‐naïve, advanced non‐small cell lung cancer (NSCLC) patients. One cohort received the current standard of care (CSOC), which consisted of immunotherapy and newer chemotherapy regimens, and the other cohort was treated with the former standard of care (FSOC), consisting only of older platinum‐containing regimens. Methods CSOC (n = 106) and FSOC (n = 88) cohorts of advanced NSCLC patients were included in this study. Weights were collected at each clinical visit, and body composition analysis from routine chest computed tomography via automated segmentation software assessed at baseline and at 6 and 12 weeks. Standard statistical methods were used to calculate relationships between changes in weight and in body composition. Results The CSOC cohort contained 106 stage IV NSCLC patients treated between 16/12/2014 and 22/10/2020 while the FSOC cohort contained 88 stage III/IV NSCLC patients treated between 16/6/2006 and 18/11/2014. While each cohort exhibited decreases in median weight, body mass index (BMI), mean skeletal muscle index (SMI) and subcutaneous adipose tissue index (SATI) at the 6 and 12 week time points, a subset of patients experienced increases in these parameters. Using a threshold of ≥2.5% increase for weight, BMI, SMI, and SATI at the 12 week time point, both cohorts showed similar (20.5% and 27.3%) increases in these parameters. With a cut point of ≥5% increase at 12 weeks follow‐up, 8.0% to 25.0% of the patients gained ≥5% in weight, BMI, SMI and SATI. Comparing these results in each cohort showed no significant differences. Pearson coefficients for weight change related to changes in SMI and SATI at 6 and 12 weeks ranged from 0.31 to 0.58 with all P values <0.02. Pearson coefficients for weight change at 12 weeks related to changes in VATI and IMATI ranged from 0.26 to 0.47 with all P values <0.05. Comparison of Pearson coefficients for each cohort showed no significant differences. Conclusions Although decreases in median weight, BMI, SMI and SATI were observed in both cohorts, similar percentage of patients in each cohort experienced increases in these parameters. These findings, plus the positive correlations between longitudinal measurements of weight, muscle mass and adipose tissue, indicate that weight gain in these patients involves increases in both muscle mass and adipose tissue. Upon validation, these findings could have implications for clinical trial design and for translational research in cancer cachexia.

Introduction With the incorporation of modernized radiotherapy, chemotherapy, and immunotherapy, treatment outcomes have improved for patients with locally advanced, unresectable diseases. Elderly or poor performance status patients comprise more than half of non-small cell lung cancer (NSCLC) patients, but they are often underrepresented or excluded in clinical trials. Split-course concurrent chemoradiotherapy can be an effective treatment, showing good adherence and a favorable toxicity profile for unresectable, locally advanced NSCLC. Method We identified locally advanced NSCLC cancer patients via a single institution retrospective study. Patients were treated using a four-phase, split-course external beam radiotherapy approach with concurrent chemotherapy. The primary endpoints analyzed were completion rate, incidence, and severity of treatment-related toxicities, progression-free survival (PFS), and median overall survival (OS). Results Thirty-nine locally advanced lung cancer patients were treated with split-course chemoradiation (CRT). The median age at diagnosis was 73 years old. Seventeen patients had an Eastern Cooperative Oncology Group (ECOG) performance score of 2. Twenty-three patients had a clinical diagnosis of chronic obstructive pulmonary disease (COPD), and 10 patients were on home oxygen at the time of diagnosis. All patients completed 6000 centigrays (cGy) of radiation, and 95% of the patients completed at least three cycles of concurrent chemotherapy. No patients experienced grade 3 to 5 acute thoracic toxicities. Overall median survival was 12.7 months, and PFS was 7.5 months. Conclusion Our retrospective analysis of 39 poor risk and/or elderly patients with locoregional NSCLC treated with concurrent CRT via a split-course regimen suggests favorable oncologic outcomes and superb treatment completion rates and toleration.

Melanoma is increasing in incidence and remains a major public health threat. Although the disease may be curable when identified early, advanced melanoma is characterized by widespread metastatic disease and a median survival of less than 10 months. In recent years, however, major advances in our understanding of the molecular nature of melanoma and the interaction of melanoma cells with the immune system have resulted in several new therapeutic strategies that are showing significant clinical benefit. Current therapeutic approaches include surgical resection of metastatic disease, chemotherapy, immunotherapy, and targeted therapy. Dacarbazine, interleukin-2, ipilimumab, and vemurafenib are now approved for the treatment of advanced melanoma. In addition, new combination chemotherapy regimens, monoclonal antibodies blocking the programmed death-1 (PD-1)/PD-ligand 1 pathway, and targeted therapy against CKIT, mitogen-activated protein/extracellular signal-regulated kinase (MEK), and other putative signaling pathways in melanoma are beginning to show promise in early-phase clinical trials. Further research on these modalities alone and in combination will likely be the focus of future clinical investigation and may impact the outcomes for patients with advanced melanoma.

Abstract Introduction Immune-checkpoint inhibitors revolutionized the therapeutic paradigm for metastatic non–small cell lung cancer (NSCLC). The average response, however, still hovers at 20%, demonstrating the urgent need for biomarkers predictive of response. High-throughput laboratory technology promises to serve as an insightful and robust tool to recognize and select patterns of biomarkers in serum. We applied machine learning on serum immune-checkpoint biomarkers for prognostication of response to immunotherapy in advanced NSCLC. Method Pretreatment sera from 106 advanced NSCLC cases who failed frontline chemotherapy were evaluated for 16 soluble immune-checkpoint molecules using the Human Immuno-Oncology Checkpoint Protein Panel (MilliporeSigma). This panel constituted BTLA, CD27, CD28, TIM-3, HVEM, CD40, GITR, GITRL, LAG-3, TLR-2, PD-1, PD-L1, CTLA-4, CD80, CD86, and ICOS. Primary data points were collected and calculated via a Luminex FLEXMAP 3D system (xPONENT v4.0.3 Luminex Corp). The minimum follow-up after treatment was 12 months. Response patterns were categorized based on their overall survival (OS) as long-term responders (>12 months) or short-term responders (<12 months). Values were analyzed with the clinical outcomes using “Survminer” and “survival” R packages to determine the log-rank-based cutoff values associated with overall survival. Finally, machine learning methods were implemented using “caret” and “rpart” R packages to fit a classification model to predict the response pattern. The model was trained and tested on random fractions of the cohort. Results BTLA4, HVEM, CD40, GITRL, LAG-3, PD-1, CD80, and CD86 serum levels significantly correlated with OS (all P values ≤.02 and HR of 0.27, 0.5, 4.59, 0.17, 0.12, 0.48, 3.64, and 0.37, respectively). The algorithm composing PD-1, LAG-3, CD86, and CTLA4 predicted the response pattern with PPV of 81%, specificity of 87%, and accuracy of 75%. Conclusion The serum immune-checkpoint predictive model might assist in the tissue and gene-based profiling of immune-checkpoints to predict the benefit from immunotherapy.

Background: First-line treatment for patients with non-small cell lung cancer (NSCLC) with a sensitizing epidermal growth factor receptor (EGFR) mutation is a tyrosine kinase inhibitor (TKI). Despite higher response rates and prolonged progression free survival (PFS) compared with platinum doublet chemotherapy, a subset of these patients do not receive prolonged benefit from these agents. We investigate if the neutrophil-to-lymphocyte ratio (NLR) and other markers of cachexia and chronic inflammation correlate with worse outcomes in these patients. Methods: This study is a retrospective review of 137 patients with advanced EGFR-mutated NSCLC treated with TKIs at Rush University Medical Center and University of Chicago Medicine from August 2011 to July 2019, with outcomes followed through July 2020. The predictive value of NLR and body mass index (BMI) was assessed at the start of therapy, and after 6 and 12 weeks of treatment by univariable and multivariable analyses. Results: On univariable analysis, NLR ≥ 5 or higher NLR on a continuous scale were both associated with significantly worse PFS and overall survival (OS) at treatment initiation, and after 6 or 12 weeks of treatment. On multivariable analysis, NLR ≥ 5 was associated with increased risk of death at 12 weeks of therapy (HR 3.002, 95% CI 1.282–7.029, p = 0.011), as was higher NLR on a continuous scale (HR 1.231, 95% CI 1.063–1.425, p = 0.0054). There was no difference in PFS and OS and amongst BMI categories though number of disease sites and Eastern Cooperative Oncology Group (ECOG) performance status was associated with worse PFS and OS. Conclusions: Patients with NLR ≥ 5 have a worse median PFS and median OS than patients with NLR < 5. NLR may have value as a predictive biomarker and may be useful for selecting patients for therapy intensification in the front-line setting either at diagnosis or after 12 weeks on therapy. NLR needs to be validated prospectively.

As diagnostic and therapeutic options increase, strategies for the treatment of non-small-cell lung cancer (NSCLC) are becoming more tailored for specific patient subpopulations and individual patients. The introduction of therapy targeted against the EGF receptor (EGFR) pathway has provided new treatment options for select patients with NSCLC. However, more than half of unselected NSCLC patients will fail to achieve disease stabilization on an EGFR tyrosine kinase inhibitor (TKI), and secondary resistance is observed in virtually all patients who initially respond or achieve disease stabilization. Efforts are underway to identify clinical and molecular predictors in patients who may benefit from treatment with EGFR TKIs. Recent strategies for targeting the EGFR pathway include combining EGFR TKIs with newer agents and developing second-generation irreversible EGFR TKIs, which may be used in patients who have failed treatment with first-generation EGFR TKIs.

[...]of tumor involvement of the rectovaginal space and potentially the uterus, the patient was started on ima- tinib as neoadjuvant therapy. Biopsies confirmed a gastrointesti- nal stromal tumor. Because we suspected involvement of adjacent viscera (prostate), the patient was given imatinib, 400 mg daily for 6 weeks.