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Bergen ES, Friedrich A, Scherleitner P, Ferreira P, Kiesel B, Widhalm G, Kiesewetter B, Eckert F, Prager GW, Preusser M, Berghoff AS. Brain metastases from hepatopancreatobiliary malignancies. Clin Exp Metastasis 2023; 40:177-185. [PMID: 36947280 PMCID: PMC10113327 DOI: 10.1007/s10585-023-10201-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 02/23/2023] [Indexed: 03/23/2023]
Abstract
While colorectal and gastroesophageal cancer represent the two gastrointestinal (GI) tumor entities with the highest incidence of brain metastatic (BM) disease, data on the clinical course of BM patients from hepatopancreatobiliary malignancies are rare. Patients with cholangiocarcinoma (CCA), hepatocellular carcinoma (HCC), pancreatic ductal adenocarcinoma (PDAC) and gastroenteropancreatic neuroendocrine neoplasms (GEP NEN). Treated for BM between 1991 and 2017 at an academic care center were included. Brain metastases-free survival (BMFS) was defined as interval from first diagnosis until BM development. Overall survival (OS) was defined as interval from diagnosis of BM until death or last date of follow-up. Outcome was correlated with clinical and treatment factors. 29 patients from overall 6102 patients (0.6%) included in the Vienna Brain Metastasis Registry presented with BM from hepatopancreatobiliary primaries including 9 (31.0%) with CCA, 10 (34.5%) with HCC, 7 (24.1%) with PDAC and 3 (10.3%) with GEP NEN as primary tumor. Median BMFS was 21, 12, 14 and 7 months and median OS 4, 4, 6 and 4 months, respectively. Karnofsky Performance Status (KPS) below 80% (p = 0.08), age above 60 years (p = 0.10) and leptomeningeal carcinomatosis (LC) (p = 0.09) diagnosed concomitant to solid BM showed an inverse association with median OS (Cox proportional hazards model). In this cohort of patients with BM from hepatopancreatobiliary tumor entities, prognosis was shown to be very limited. Performance status, age and diagnosis of LC were identified as negative prognostic factors.
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Affiliation(s)
- Elisabeth S Bergen
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Alexander Friedrich
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Peter Scherleitner
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Pedro Ferreira
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Barbara Kiesel
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Georg Widhalm
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Barbara Kiesewetter
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Franziska Eckert
- Department of Radiation Oncology, Medical University of Vienna, Vienna, Austria
| | - Gerald W Prager
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Anna S Berghoff
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
- Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
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Nieder C, Andratschke NH, Grosu AL. Personalized radiotherapy of brain metastases: survival prediction by means of dichotomized or differentiated blood test results? Front Oncol 2023; 13:1156161. [PMID: 37114122 PMCID: PMC10126728 DOI: 10.3389/fonc.2023.1156161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 03/29/2023] [Indexed: 04/29/2023] Open
Abstract
Background and objectives The validated LabBM score (laboratory parameters in patients with brain metastases) represents a widely applicable survival prediction model, which incorporates 5 blood test results (serum lactate dehydrogenase (LDH), C-reactive protein (CRP), albumin, platelets and hemoglobin). All tests are classified as normal or abnormal, without accounting for the wide range of abnormality observed in practice. We tested the hypothesis that improved stratification might be possible, if more granular test results are employed. Methods Retrospective analysis of 198 patients managed with primary whole-brain radiotherapy in one of the institutions who validated the original LabBM score. Results For two blood tests (albumin, CRP), discrimination was best for the original dichotomized version (normal/abnormal). For two others (LDH, hemoglobin), a three-tiered classification was best. The number of patients with low platelet count was not large enough for detailed analyses. A modified LabBM score was developed, which separates the intermediate of originally 3 prognostic groups into 2 statistically significantly different strata, resulting in a 4-tiered score. Conclusion This initial proof-of-principle study suggests that granular blood test results might contribute to further improvement of the score, or alternatively development of a nomogram, if additional large-scale studies confirm the encouraging results of the present analysis.
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Affiliation(s)
- Carsten Nieder
- Department of Oncology and Palliative Medicine, Nordland Hospital, Bodø, Norway
- Department of Clinical Medicine, Faculty of Health Sciences, UiT – The Arctic University of Norway, Tromsø, Norway
- *Correspondence: Carsten Nieder,
| | - Nicolaus H. Andratschke
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Anca L. Grosu
- Department of Radiation Oncology, Medical Center, Medical Faculty, University Freiburg, Freiburg, Germany
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Carpenter DJ, Fairchild AT, Adamson JD, Fecci PE, Sampson JH, Herndon JE, Torok JA, Mullikin TC, Kim GJ, Reitman ZJ, Kirkpatrick JP, Floyd SR. Outcomes in Patients with Intact and Resected Brain Metastasis Treated with 5-Fraction Stereotactic Radiosurgery. Adv Radiat Oncol 2022; 8:101166. [PMID: 36845614 PMCID: PMC9943776 DOI: 10.1016/j.adro.2022.101166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 12/23/2022] [Indexed: 12/31/2022] Open
Abstract
Purpose Hypofractionated stereotactic radiosurgery (HF-SRS) with or without surgical resection is potentially a preferred treatment for larger or symptomatic brain metastases (BMs). Herein, we report clinical outcomes and predictive factors following HF-SRS. Methods and Materials Patients undergoing HF-SRS for intact (iHF-SRS) or resected (rHF-SRS) BMs from 2008 to 2018 were retrospectively identified. Linear accelerator-based image-guided HF-SRS consisted of 5 fractions at 5, 5.5, or 6 Gy per fraction. Time to local progression (LP), time to distant brain progression (DBP), and overall survival (OS) were calculated. Cox models assessed effect of clinical factors on OS. Fine and Gray's cumulative incidence model for competing events examined effect of factors on LP and DBP. The occurrence of leptomeningeal disease (LMD) was determined. Logistic regression examined predictors of LMD. Results Among 445 patients, median age was 63.5 years; 87% had Karnofsky performance status ≥70. Fifty-three % of patients underwent surgical resection, and 75% received 5 Gy per fraction. Patients with resected BMs had higher Karnofsky performance status (90-100, 41 vs 30%), less extracranial disease (absent, 25 vs 13%), and fewer BMs (multiple, 32 vs 67%). Median diameter of the dominant BM was 3.0 cm (interquartile range, 1.8-3.6 cm) for intact BMs and 4.6 cm (interquartile range, 3.9-5.5 cm) for resected BMs. Median OS was 5.1 months (95% confidence interval [CI], 4.3-6.0) following iHF-SRS and 12.8 months (95% CI, 10.8-16.2) following rHF-SRS (P < .01). Cumulative LP incidence was 14.5% at 18 months (95% CI, 11.4-18.0%), significantly associated with greater total GTV (hazard ratio, 1.12; 95% CI, 1.05-1.20) following iFR-SRS, and with recurrent versus newly diagnosed BMs across all patients (hazard ratio, 2.28; 95% CI, 1.01-5.15). Cumulative DBP incidence was significantly greater following rHF-SRS than iHF-SRS (P = .01), with respective 24-month rates of 50.0 (95% CI, 43.3-56.3) and 35.7% (95% CI, 29.2-42.2). LMD (57 events total; 33% nodular, 67% diffuse) was observed in 17.1% of rHF-SRS and 8.1% of iHF-SRS cases (odds ratio, 2.46; 95% CI, 1.34-4.53). Any radionecrosis and grade 2+ radionecrosis events were observed in 14 and 8% of cases, respectively. Conclusions HF-SRS demonstrated favorable rates of LC and radionecrosis in postoperative and intact settings. Corresponding LMD and RN rates were comparable to those of other studies.
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Affiliation(s)
- David J. Carpenter
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina,Corresponding author: Scott Floyd, MD, PhD
| | | | - Justus D. Adamson
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Peter E. Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - John H. Sampson
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - James E. Herndon
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina
| | - Jordan A. Torok
- Department of Radiation Oncology, St. Clair Hospital Cancer Center, Pittsburgh, Pennsylvania
| | - Trey C. Mullikin
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Grace J. Kim
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Zachary J. Reitman
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - John P. Kirkpatrick
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina,Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Scott R. Floyd
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
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Nieder C, Andratschke NH, Grosu AL. Personalized treatment of brain metastases: Evolving survival prediction models may benefit from evaluation of serum tumor markers (narrative review). Front Oncol 2022; 12:1081558. [DOI: 10.3389/fonc.2022.1081558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 11/18/2022] [Indexed: 12/05/2022] Open
Abstract
Treatment of a limited number of brain metastases (oligometastases) might include complex and sometimes invasive approaches, e.g. neurosurgical resection followed by post-operative stereotactic radiotherapy, and thus, correct identification of patients who are appropriate candidates is crucial. Both, staging procedures that visualize the true number of metastastic lesions and prognostic assessments that identify patients with limited survival, who should be managed with less complex, palliative approaches, are necessary before proceeding with local treatment that aims at eradication of all oligometastases. Some of the prognostic models, e.g. the LabBM score (laboratory parameters in patients with brain metastases), include blood biomarkers believed to represent surrogate markers of disease extent. In a recent study, patients with oligometastases and a LabBM score of 0 (no abnormal biomarkers) had an actuarial 5-year survival rate of 27% after neurosurgical resection and 39% after stereotactic radiotherapy. Other studies have tied serum tumor markers such as carcinoembryonic antigen (CEA) to survival outcomes. Even if head-to-head comparisons and large-scale definitive analyses are lacking, the available data suggest that attempts to integrate tumor marker levels in blood biomarker-based survival prediction models are warranted.
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Nieder C, Stanisavljevic L, Aanes SG, Mannsåker B, Haukland EC. 30-day mortality in patients treated for brain metastases: extracranial causes dominate. Radiat Oncol 2022; 17:92. [PMID: 35551618 PMCID: PMC9097068 DOI: 10.1186/s13014-022-02062-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/01/2022] [Indexed: 11/10/2022] Open
Abstract
Background Established prognostic models, such as the diagnosis-specific graded prognostic assessment, were not designed to specifically address very short survival. Therefore, a brain metastases-specific 30-day mortality model may be relevant. We hypothesized that in-depth evaluation of a carefully defined cohort with short survival, arbitrarily defined as a maximum of 3 months, may provide signals and insights, which facilitate the development of a 30-day mortality model. Methods Retrospective analysis (2011–2021) of patients treated for brain metastases with different approaches. Risk factors for 30-day mortality from radiosurgery or other primary treatment were evaluated. Results The cause of death was unrelated to brain metastases in 61%. Treatment-related death (grade 5 toxicity) did not occur. Completely unexpected death was not observed, e.g. accident, suicide or sudden cardiac death. Logistic regression analysis showed 9 factors associated with 30-day mortality (each assigned 3–6 points) and a point sum was calculated for each patient. The point sum ranged from 0 (no risk factors for death within 30 days present) to 30. The results can be grouped into 3 or 4 risk categories. Eighty-three percent of patients in the highest risk group (> 16 points) died within 30 days, and none survived for more than 2 months. However, many cases of 30-day mortality (more than half) occurred in intermediate risk categories. Conclusion Extracranial tumor progression was the prevailing cause of 30-day mortality and few, if any deaths could be considered relatively unexpected when looking at the complete oncological picture. We were able to develop a multifactorial prediction model. However, the model’s performance was not fully satisfactory and it is not routinely applicable at this point in time, because external validation is needed to confirm our hypothesis-generating findings.
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Affiliation(s)
- Carsten Nieder
- Department of Oncology and Palliative Medicine, Nordland Hospital, 8092, Bodø, Norway. .,Department of Clinical Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsö, Norway.
| | - Luka Stanisavljevic
- Department of Oncology and Palliative Medicine, Nordland Hospital, 8092, Bodø, Norway
| | - Siv Gyda Aanes
- Department of Oncology and Palliative Medicine, Nordland Hospital, 8092, Bodø, Norway
| | - Bård Mannsåker
- Department of Oncology and Palliative Medicine, Nordland Hospital, 8092, Bodø, Norway
| | - Ellinor Christin Haukland
- Department of Oncology and Palliative Medicine, Nordland Hospital, 8092, Bodø, Norway.,Department of Quality and Health Technology, Faculty of Health Sciences, SHARE-Center for Resilience in Healthcare, University of Stavanger, Stavanger, Norway
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Nieder C, Aanes SG, Haukland E. Primary systemic therapy for patients with brain metastases from lung cancer ineligible for targeted agents. J Cancer Res Clin Oncol 2022; 148:3109-3116. [PMID: 35020043 PMCID: PMC9508211 DOI: 10.1007/s00432-022-03919-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 01/04/2022] [Indexed: 11/30/2022]
Abstract
Purpose The purpose of this study was to evaluate overall survival after systemic therapy, largely chemotherapy, in patients with small cell or non-small cell lung cancer and brain metastases. After completion of systemic therapy, some patients received planned brain irradiation, while others were followed. Methods Retrospective cohort study. Results Thirty-eight patients were included (28 small cell, 20 followed with imaging). Six of these 20 patients (30%) received delayed radiotherapy during follow-up. Planned radiotherapy (n = 18, intention-to-treat) was associated with longer survival from diagnosis of brain metastases, median 10.8 versus 6.1 months, p = 0.025. Delayed radiotherapy still resulted in numerically better survival than no radiotherapy at all (median 8.8 versus 5.3 months, not significant). If calculated from the start of delayed radiotherapy, median survival was only 2.7 months. In a multivariable analysis, both Karnofsky performance status ≥ 70 (p = 0.03) and planned radiotherapy (p = 0.05) were associated with better survival. Conclusion In patients ineligible for targeted agents, planned radiotherapy in a modern treatment setting was associated with longer survival compared to no radiotherapy. Timing and type of radiotherapy in such patients should be evaluated in prospective trials to identify patients who might not need planned radiotherapy.
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Affiliation(s)
- Carsten Nieder
- Department of Oncology and Palliative Medicine, Nordland Hospital, 8092, Bodø, Norway. .,Department of Clinical Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, 9037, Tromsø, Norway.
| | - Siv G Aanes
- Department of Oncology and Palliative Medicine, Nordland Hospital, 8092, Bodø, Norway
| | - Ellinor Haukland
- Department of Oncology and Palliative Medicine, Nordland Hospital, 8092, Bodø, Norway.,Department of Clinical Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, 9037, Tromsø, Norway.,SHARE-Center for Resilience in Healthcare, Faculty of Health Sciences, Department of Quality and Health Technology, University of Stavanger, 4036, Stavanger, Norway
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