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Hirose T, Deguchi S, Yasui K, Inoue M, Onoe T, Ogawa H, Asakura H, Mitsuya K, Harada H, Murayama S, Hayashi N, Nishimura T, Saito R. The indication of palliative whole-brain radiotherapy for patients with brain metastases: a simple prognostic scoring system in the era of stereotactic radiosurgery. BMC Cancer 2024; 24:940. [PMID: 39095756 PMCID: PMC11295614 DOI: 10.1186/s12885-024-12729-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 07/30/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Stereotactic irradiation has become the mainstay treatment for brain metastases (BM), and whole-brain radiotherapy (WBRT) is often used for symptom palliation. However, the survival time of patients with BM undergoing palliative WBRT (pWBRT) is limited, making it difficult to select patients who should receive treatment. METHODS We collected patient data from 2016 to 2022 at the Shizuoka Cancer Center and retrospectively analyzed the factors related to survival time. Overall survival (OS) was defined as the survival time after WBRT. RESULTS A total of 301 patients (median age, 66 years) who underwent pWBRT were included. The primary cancers were lung, breast, gastrointestinal tract, and other cancers in 203 (67%), 38 (13%), 33 (11%), and 27 (9%) patients, respectively. Median OS of all patients was 4.1 months. In the multivariate analysis, male sex (hazard ratio [HR]:1.4), Karnofsky Performance Status (KPS) ≤ 60 (HR:1.7), presence of extracranial metastasis (ECM) (HR:1.6), neutrophil-lymphocyte ratio (NLR) ≥ 5 (HR:1.6), and lactate dehydrogenase (LDH) ≥ upper limit of normal (ULN) (HR:1.3) were significantly associated with shorter OS (all P < 0.05). To predict the OS, we created a prognostic scoring system (PSS). We gave one point to each independent prognostic factor. Median OS for patients with scores of 0-2, 3, and 4-5 were 9.0, 3.5 and 1.7 months, respectively (P < 0.001). CONCLUSIONS Male sex, KPS ≤ 60, presence of ECM, NLR ≥ 5, and LDH ≥ ULN were poor prognostic factors for patients with BM undergoing pWBRT. By PSS combining these factors, it may be possible to select patients who should undergo pWBRT.
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Affiliation(s)
- Toshiaki Hirose
- Division of Neurosurgery, Shizuoka Cancer Center, Nagaizumi, Japan
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8560, Aichi, Japan
| | - Shoichi Deguchi
- Division of Neurosurgery, Shizuoka Cancer Center, Nagaizumi, Japan.
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8560, Aichi, Japan.
| | - Kazuaki Yasui
- Radiation and Proton Therapy Center, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Minoru Inoue
- Radiation and Proton Therapy Center, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Tsuyoshi Onoe
- Radiation and Proton Therapy Center, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Hirofumi Ogawa
- Radiation and Proton Therapy Center, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Hirofumi Asakura
- Radiation and Proton Therapy Center, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Koichi Mitsuya
- Division of Neurosurgery, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Hideyuki Harada
- Radiation and Proton Therapy Center, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Shigeyuki Murayama
- Radiation and Proton Therapy Center, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Nakamasa Hayashi
- Division of Neurosurgery, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Tetsuo Nishimura
- Radiation and Proton Therapy Center, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Ryuta Saito
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8560, Aichi, Japan
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Zemskova O, Yu NY, Löser A, Leppert J, Rades D. Evaluation of Five Prognostic Scores in Patients Receiving Chemoradiation for Primary Glioblastoma Multiforme. In Vivo 2024; 38:1806-1813. [PMID: 38936935 PMCID: PMC11215611 DOI: 10.21873/invivo.13632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND/AIM Prognostic factors can facilitate treatment personalization in patients with glioblastoma multiforme (GBM). This study investigated different Glasgow prognostic scores (GPS) and the LabBM score in patients with GBM receiving chemoradiation following resection or biopsy. PATIENTS AND METHODS Four GPS versions, LabBM score, and 10 other factors were retrospectively investigated for progression-free survival (PFS) and overall survival (OS) in 86 patients. GPS versions included original GPS (oGPS), modified GPS (mGPS), high-sensitivity mGPS (HS-mGPS), and high-sensitivity oGPS (HS-oGPS). RESULTS On multivariate analysis, higher oGPS was significantly associated with worse OS (p=0.006). On univariate analyses, trends were found for associations between higher mGPS and worse OS (p=0.098) and between higher LabBM scores and worse PFS (p=0.059). CONCLUSION The oGPS was an independent predictor of OS in patients receiving chemoradiation for GBM and can help personalizing the treatment for these patients. The LabBM score may be useful for predicting PFS.
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Affiliation(s)
- Oksana Zemskova
- Department of Radiation Oncology, University of Lübeck, Lübeck, Germany
- Department of Radioneurosurgery, Romodanov Neurosurgery Institute, Kyiv, Ukraine
| | - Nathan Y Yu
- Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, U.S.A
| | - Anastassia Löser
- Department of Radiation Oncology, University of Lübeck, Lübeck, Germany
| | - Jan Leppert
- Department of Neurosurgery, University of Lübeck, Lübeck, Germany
| | - Dirk Rades
- Department of Radiation Oncology, University of Lübeck, Lübeck, Germany;
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Flores-Paco P, Vargas-Aliaga A, Guevara MG, Lopera I, Ruiz LR, López-Herrero M, Camús JA, López-González J, Inga-Saavedra E, Montero M, Barneto I, Gómez-España MA, Ruiz E, Ruza M, Armenta A, Palacios A, De La Haba-Rodríguez JR, Aranda E. A new updated prognostic index for patients with brain metastases (BMs) treated with palliative whole brain radiotherapy (WBRT) in the era of precision oncology. METASNCore project. J Neurooncol 2024; 167:407-413. [PMID: 38539006 DOI: 10.1007/s11060-024-04618-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 02/22/2024] [Indexed: 05/16/2024]
Abstract
INTRODUCTION Palliative WBRT is the main treatment for multiple BMs. Recent studies report no benefit in survival after WBRT compared to palliative supportive care in patients (pts) with poor prognosis. A new era of systemic treatment strategies based on targeted therapies are improving the prognosis of patients with BMs. The purpose of this study is to develop a prognostic score in palliative pts with BMs who undergo WBRT in this new setting. METHODS 239 pts with BMs who received palliative WBRT between 2013-2022 in our center were analyzed retrospectively. The score was designed according to the value of the β coefficient of each variable with statistical significance in the multivariate model using Cox regression. Once the score was established, a comparison was performed according to Kaplan-Meier and was analyzed by log-rank test. RESULTS 149 pts (62.3%) were male and median (m) age was 60 years. 139 (58,2%) were lung cancer and 35 (14,6%) breast cancer. All patients received 30Gys in 10 sessions. m overall survival (OS) was 3,74 months (ms). 37 pts (15,5%) had a specific target mutation. We found that 62 pts were in group < 4 points with mOS 6,89 ms (CI 95% 3,18-10,62), 84 in group 4-7 points with mOS 4,01 ms (CI 95% 3,40-4,62) and 92 pts in group > 7 points with mOS 2,72 ms (CI 95% 1,93-3,52) (p < 0,001). CONCLUSIONS METASNCore items are associated with OS and they could be useful to select palliative pts to receive WBRT. More studies are necessary to corroborate our findings.
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Affiliation(s)
- Pablo Flores-Paco
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Alicia Vargas-Aliaga
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - María Geraldina Guevara
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | | | - Lucía Rodríguez Ruiz
- Radiation Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - María López-Herrero
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Juan Adrián Camús
- Radiation Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Javier López-González
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Elizabeth Inga-Saavedra
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Marina Montero
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Isidoro Barneto
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Mª Auxiliadora Gómez-España
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Estela Ruiz
- Radiation Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Marta Ruza
- Radiation Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Ana Armenta
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Amalia Palacios
- Radiation Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
| | - Juan R De La Haba-Rodríguez
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain.
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain.
- Medical School, University of Cordoba, Cordoba, Spain.
- Medical Oncology Department, Hospital Universitario Reina Sofía, Av. Menendez Pidal, s/n, 14004, Córdoba, Spain.
| | - Enrique Aranda
- Medical Oncology Department, University Hospital Reina Sofia, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
- Medical School, University of Cordoba, Cordoba, Spain
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Guo J, Liu J, Ye W, Xu J, Zhong W, Zhang X, Yuan H, Shi H, Li T, Xu Y, Mao J, Shen B, Wu D. Construction of brain metastasis prediction model in limited stage small cell lung cancer patients without prophylactic cranial irradiation. THE CLINICAL RESPIRATORY JOURNAL 2024; 18:e13730. [PMID: 38286746 PMCID: PMC10790059 DOI: 10.1111/crj.13730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/12/2023] [Accepted: 12/22/2023] [Indexed: 01/31/2024]
Abstract
INTRODUCTION Small cell lung cancer (SCLC) is a highly aggressive lung cancer variant known for its elevated risk of brain metastases (BM). While earlier meta-analyses supported the use of prophylactic cranial irradiation (PCI) to reduce BM incidence and enhance overall survival, modern MRI capabilities raise questions about PCI's universal benefit for limited-stage SCLC (LS-SCLC) patients. As a response, we have created a predictive model for BM, aiming to identify low-risk individuals who may not require PCI. METHODS A total of 194 LS-SCLC patients without PCI treated between 2009 and 2021 were included. We conducted both univariate and multivariate analyses to pinpoint the factors associated with the development of BM. A nomogram for predicting the 2- and 3-year probabilities of BM was then constructed. RESULTS Univariate and multivariate analyses revealed several significant independent risk factors for the development of BM. These factors include TNM stage, the number of chemotherapy (ChT) cycles, Ki-67 expression level, pretreatment serum lactate dehydrogenase (LDH) levels, and haemoglobin (HGB) levels. These findings underscore their respective roles as independent predictors of BM. Based on the results of the final multivariable analysis, a nomogram model was created. In the training cohort, the nomogram yielded an area under the receiver operating characteristic curve (AUC) of 0.870 at 2 years and 0.828 at 3 years. In the validation cohort, the AUC values were 0.897 at 2 years and 0.789 at 3 years. The calibration curve demonstrated good agreement between the predicted and observed probabilities of BM. CONCLUSIONS A novel nomogram has been developed to forecast the likelihood of BM in patients diagnosed with LS-SCLC. This tool holds the potential to assist healthcare professionals in formulating more informed and tailored treatment plans.
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Affiliation(s)
- Jiayi Guo
- School of MedicineShaoxing UniversityShaoxingZhejiangChina
| | - Jianjiang Liu
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Wanli Ye
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Jun Xu
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Wangyan Zhong
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Xiaoyu Zhang
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Hang Yuan
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Hao Shi
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Ting Li
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Yibing Xu
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Jiwei Mao
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Bin Shen
- Shaoxing People's HospitalShaoxingZhejiangChina
| | - Dongping Wu
- Department of Radiation OncologyFirst Affiliated Hospital of Shaoxing UniversityShaoxingZhejiangChina
- Shaoxing People's HospitalShaoxingZhejiangChina
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Nieder C, Andratschke NH, Grosu AL. How we treat octogenarians with brain metastases. Front Oncol 2023; 13:1213122. [PMID: 37614511 PMCID: PMC10442834 DOI: 10.3389/fonc.2023.1213122] [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: 04/27/2023] [Accepted: 07/25/2023] [Indexed: 08/25/2023] Open
Abstract
Biologically younger, fully independent octogenarians are able to tolerate most oncological treatments. Increasing frailty results in decreasing eligibility for certain treatments, e.g., chemotherapy and surgery. Most brain metastases are not an isolated problem, but part of widespread cancer dissemination, often in combination with compromised performance status. Multidisciplinary assessment is key in this vulnerable patient population where age, frailty, comorbidity and even moderate additional deficits from brain metastases or their treatment may result in immobilization, hospitalization, need for nursing home care, termination of systemic anticancer treatment etc. Here, we provide examples of successful treatment (surgery, radiosurgery, systemic therapy) and best supportive care, and comment on the limitations of prognostic scores, which often were developed in all-comers rather than octogenarians. Despite selection bias in retrospective studies, survival after radiosurgery was more encouraging than after whole-brain radiotherapy. Prospective research with focus on octogenarians is warranted to optimize outcomes.
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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
| | - 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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Li W, Ding C, Sheng W, Wan Q, Cui Z, Qi G, Liu Y. Development and validation of a nomogram for the prediction of brain metastases in small cell lung cancer. THE CLINICAL RESPIRATORY JOURNAL 2023; 17:456-467. [PMID: 37071990 DOI: 10.1111/crj.13615] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 03/29/2023] [Indexed: 04/20/2023]
Abstract
INTRODUCTION The aim was to develop and validate a nomogram for the prediction of brain metastases (BM) in small cell lung cancer (SCLC), to explore the risk factors and assist clinical decision-making. METHODS We reviewed the clinical data of SCLC patients between 2015 and 2021. Patients between 2015 and 2019 were included to develop, whereas patients between 2020 and 2021 were used for external validation. Clinical indices were analysed by using the least absolute shrinkage and selection operator (LASSO) logistic regression analyses. The final nomogram was constructed and validated by bootstrap resampling. RESULTS A total of 631 SCLC patients between 2015 and 2019 were included to construct model. Gender, T stage, N stage, Eastern Cooperative Oncology Group (ECOG), haemoglobin (HGB), the absolute value of lymphocyte (LYMPH #), platelet (PLT), retinol-binding protein (RBP), carcinoembryonic antigen (CEA) and neuron-specific enolase (NSE) were identified as risk factors and included into the model. The C-indices were 0.830 and 0.788 in the internal validation by 1000 bootstrap resamples. The calibration plot revealed excellent agreement between the predicted and the actual probability. Decision curve analysis (DCA) showed better net benefits with a wider range of threshold probability (net clinical benefit was 1%-58%). The model was further externally validated in patients between 2020 and 2021 with a C-index of 0.818. CONCLUSIONS We developed and validated a nomogram to predict the risk of BM in SCLC patients, which could help clinicians to rationally schedule follow-ups and promptly implement interventions.
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Affiliation(s)
- Weiwei Li
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
- Shandong Key Laboratory of Infections Respiratory Disease, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
- Department of Critical Care Medicine, The 960th Hospital of the PLA (People's Liberation Army) Joint Logistics Support Force, Jinan, Shandong, 250012, China
| | - Can Ding
- Department of Pulmonary and Critical Care Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250013, China
| | - Wei Sheng
- Cancer Centre, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Qiang Wan
- Center of Cell Metabolism and Disease, Jinan Central Hospital, Shandong University, Jinan, Shandong, 250013, China
| | - Zhengguo Cui
- Department of Environmental Health, University of Fukui School of Medical Science, Fukui, Japan
| | - Guiye Qi
- Department of Medical Engineering Management, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Yi Liu
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
- Shandong Key Laboratory of Infections Respiratory Disease, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
- Department of Allergy, Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
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Nieder C, Imingen KS. Palliative Radiotherapy for Non-metastatic Non-small-cell Lung Cancer: Impact of Blood Test Results on Survival. In Vivo 2023; 37:771-776. [PMID: 36881095 PMCID: PMC10026628 DOI: 10.21873/invivo.13140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/09/2023] [Accepted: 01/11/2023] [Indexed: 03/08/2023]
Abstract
BACKGROUND/AIM Non-small-cell lung cancer (NSCLC) not amenable to curative treatment can be managed with palliative thoracic radiation or chemoradiation, however, with variable success. This study evaluated the prognostic impact of the LabBM score [serum lactate dehydrogenase (LDH), C-reactive protein, albumin, hemoglobin, platelets] in 56 patients who were scheduled to receive at least 10 fractions of 3 Gy. PATIENTS AND METHODS Uni- and multivariate analyses of prognostic factors for overall survival were employed in a retrospective single-institution study of stage II and III NSCLC. RESULTS The first multivariate analysis showed that hospitalization in the month before radiotherapy (p<0.001), concomitant chemoradiotherapy (p=0.03), and LabBM point sum (p=0.09) were the leading predictors of survival. A second model with individual blood tests rather than the sum score suggested that concomitant chemoradiotherapy (p=0.002), hemoglobin (p=0.01), LDH (p=0.04), and hospitalization before radiotherapy (p=0.08) played important roles. Surprisingly long survival was seen in patients without prior hospitalization who received concomitant chemoradiotherapy and had favorable LabBM score (0-1 points): median 24 months, 5-year rate 46%. CONCLUSION Blood biomarkers provide relevant prognostic information. The LabBM score has 1) previously been validated in patients with brain metastases and 2) demonstrated encouraging results in a cohort irradiated for different palliative non-brain indications, e.g., bone metastases. It might be helpful in predicting survival in patients with non-metastatic cancer, e.g., NSCLC stage II and III.
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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
| | - Kristian S Imingen
- Department of Oncology and Palliative Medicine, Nordland Hospital, Bodø, Norway
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Hu J, Xie X, Zhou W, Hu X, Sun X. The emerging potential of quantitative MRI biomarkers for the early prediction of brain metastasis response after stereotactic radiosurgery: a scoping review. Quant Imaging Med Surg 2023; 13:1174-1189. [PMID: 36819250 PMCID: PMC9929394 DOI: 10.21037/qims-22-412] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 11/23/2022] [Indexed: 01/05/2023]
Abstract
Background At present, the simple prognostic models based on clinical information for predicting the treatment outcomes of brain metastases (BMs) are subjective and delayed. Thus, we performed this systematic review of multiple studies to assess the potential of quantitative magnetic resonance imaging (MRI) biomarkers for the early prediction of treatment outcomes of brain metastases with stereotactic radiosurgery (SRS). Methods We systematically searched the PubMed, Embase, Cochrane, Web of Science, and Clinical Trials.gov databases for articles published between February 1, 1991, and April 11, 2022, with no language restrictions. We included studies involving patients with BMs receiving SRS; the included patients were required to have definite pathology of a primary tumor and complete imaging data (pre- and post-SRS). We excluded the articles that included patients who had undergone previous surgery and those that did not include regular follow-up or corresponding MRI scans. Results We identified 2,162 studies, of which 26 were included in our analysis, involving a total of 1,362 participants. All 26 studies explored the relevant MRI parameters to predict the prognosis of patients with BMs who received SRS. The outcomes were generalized according to the relationships between the anatomical/morphological, microstructural, vascular, and metabolic changes and SRS. Generally, with traditional MRI, there are several quantitative prognostic models based on preradiosurgical radiomics that predict the outcome of SRS treatment in local BM control. With the implementation of advanced MRI, the relative apparent diffusion coefficient (ADC), perfusion fraction (f), relative cerebral blood volume (rCBV), relative regional cerebral blood flow (rrCBF), interstitial fluid pressure (IFP), quadratic of time-dependent leakage (Ktrans 2), extracellular extravascular volume (ve), choline/creatine (Cho/Cr), nuclear Overhauser effect (NOE) peak, and intraextracellular water exchange rate constant (kIE ) were confirmed to be indicative of the therapeutic effect of SRS for BMs. Conclusions Quantitative MRI biomarkers extracted from traditional or advanced MRI at different time points, which can represent the anatomical/morphological, microstructural, vascular, and metabolic changes, respectively, have been proposed as promising markers for the early prediction of SRS response in those with BMs. There are some limitations in this review, including the risk of selection bias, the limited number of study objects, the incomparability of the total data, and the subjectivity of the review process.
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Affiliation(s)
- Jiamiao Hu
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Xuyun Xie
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Weiwen Zhou
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Xiao Hu
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Xiaonan Sun
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
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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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10
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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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11
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External Validation of the Graded Prognostic Assessment in Patients with Brain Metastases from Small Cell Lung Cancer. Curr Oncol 2022; 29:7181-7188. [PMID: 36290842 PMCID: PMC9600349 DOI: 10.3390/curroncol29100565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/27/2022] [Accepted: 09/28/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Recently, graded prognostic assessment (GPA) for small cell lung cancer (SCLC) patients with brain metastases has been developed. This includes age, performance status, number of brain metastases and presence of extracranial metastases. The aim of the present study was to validate this four-tiered prognostic score in a European cohort of patients. METHODS The retrospective validation study included 180 patients from two centers in Germany and Norway. RESULTS Median survival from radiological diagnosis of brain metastases was 7 months. The GPA point sum as continuous variable (0-4 points) was significantly associated with survival (p < 0.001). However, no significant survival difference was observed between patients in the two strata with better survival (3.5-4 and 2.5-3 points, respectively). Long-term survival in the poor prognosis group (0-1 points) was better than expected. CONCLUSION This study supports the prognostic impact of all four parameters contributing to the GPA. The original way of grouping the parameters and breaking the final strata did not give optimal results in this cohort. Therefore, additional validation databases from different countries should be created and evaluated.
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12
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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: 8] [Impact Index Per Article: 4.0] [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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13
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Kraft J, van Timmeren JE, Frei S, Mayinger M, Borsky K, Kirchner C, Stark LS, Tanadini-Lang S, Wolpert F, Weller M, Woodruff HC, Guckenberger M, Andratschke N. Comprehensive summary and retrospective evaluation of prognostic scores for patients with newly diagnosed brain metastases treated with upfront radiosurgery in a modern patient collective. Radiother Oncol 2022; 172:23-31. [PMID: 35489445 DOI: 10.1016/j.radonc.2022.04.024] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 04/15/2022] [Accepted: 04/21/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Numerous prognostic scores (PS) for patients with brain metastases (BM) have been developed. Recently, PS based on laboratory parameters were introduced to better predict overall survival (OS). A comprehensive comparison of the wide range of scores in a modern patient collective is still missing. MATERIALS AND METHODS Twelve PS considering clinical parameters only at the time of BM diagnosis were calculated for 470 patients receiving upfront SRS between January 2014 and March 2020. In a subcohort of 310 patients where a full laboratory dataset was available five additional prognostic scores were compared. Restricted mean survival time (RMST), partial likelihood and c-index were calculated as metrics for performance evaluation. Univariable and multivariable analysis were used to identify prognostic factors for OS. RESULTS The median OS of the whole cohort was 15.8 months (95% C.I.: 13.4-20.1). All prognostic scores performed well in separating patients into different prognostic groups. RPA achieved the highest c-index, whereas GGS achieved highest partial likelihood with evaluation in the total cohort. With incorporation of the laboratory scores the recently suggested EC-GPA achieved highest c-index and highest partial likelihood. A prognostic score solely based on the assessment of performance status achieved considerable high performance as either 3- or 4-tiered score. Multivariable analysis revealed performance status, systemic disease status and laboratory parameters to be significantly associated with OS among variates included in prognostic scores. CONCLUSION Although recent PS incorporating laboratory parameters show convincing performance in predicting overall survival, older scores relying on clinical parameters only are still valid and appealing as they are easier to calculate, and as overall performance is almost equal. Moreover, a score just based on performance status is not significantly inferior and should at least be assessed for informed decision making.
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Affiliation(s)
- Johannes Kraft
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland; Department of Radiation Oncology, University Hospital Würzburg, Germany.
| | - Janita E van Timmeren
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Simon Frei
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Michael Mayinger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Kim Borsky
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Corinna Kirchner
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Luisa Sabrina Stark
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Stephanie Tanadini-Lang
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Fabian Wolpert
- Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland
| | - Henry C Woodruff
- The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Nicolaus Andratschke
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
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14
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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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15
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Nieder C, Dalhaug A, Haukland E. The LabBM score is an excellent survival prediction tool in patients undergoing palliative radiotherapy. Rep Pract Oncol Radiother 2021; 26:740-746. [PMID: 34760308 DOI: 10.5603/rpor.a2021.0096] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 05/12/2021] [Indexed: 11/25/2022] Open
Abstract
Background and aim The prognostic assessment of patients referred for palliative radiotherapy can be conducted by site-specific scores. A quick assessment that would cover the whole spectrum could simplify the working day of clinicians who are not specialists for a particular disease site. This study evaluated a promising score, the LabBM (validated for brain metastases), in patients treated for other indications. Materials and methods The LabBM score was calculated in 375 patients by assigning 1 point each for C-reactive protein and lactate dehydrogenase above the upper limit of normal, and 0.5 points each for hemoglobin, platelets and albumin below the lower limit of normal. Uni- and multivariate analyses were performed. Results Median overall survival gradually decreased with increasing point sum (range 25.1-1.1 months). When grouped according to the original three-tiered model, excellent discrimination was found. Patients with 0-1 points had a median survival of 15.7 months. Those with 1.5-2 points had a median survival of 5.8 months. Finally, those with 2.5-3.5 points had a median survival of 3.2 months (all p-values ≤ 0.001). Conclusion The LabBM score, which is derived from inexpensive blood tests and easy to use, stratified patients into three very distinct prognostic groups and deserves further validation.
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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
| | - Astrid Dalhaug
- Department of Oncology and Palliative Medicine, Nordland Hospital, Bodø, Norway
| | - Ellinor Haukland
- 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
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16
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Nieder C, Mehta MP, Guckenberger M, Gaspar LE, Rusthoven CG, Sahgal A, Grosu AL, De Ruysscher D. Assessment of extracranial metastatic disease in patients with brain metastases: How much effort is needed in the context of evolving survival prediction models? Radiother Oncol 2021; 159:17-20. [PMID: 33675870 DOI: 10.1016/j.radonc.2021.02.038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/20/2021] [Accepted: 02/23/2021] [Indexed: 10/22/2022]
Abstract
Survival prediction models may serve as decision-support tools for clinicians who have to assign the right treatment to each patient, in a manner whereby harmful over- or undertreatment is avoided as much as possible. Current models differ regarding their components, the overall number of components and the weighting of individual components. Some of the components are easy to assess, such as age or primary tumor type. Others carry the risk of inter-assessor inconsistency and time-dependent variation. The present publication focuses on issues related to assessment of extracranial metastases and potential surrogates, e.g. blood biomarkers. It identifies areas of controversy and provides recommendations for future research projects, which may contribute to prognostic models with improved accuracy.
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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.
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, USA
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Laurie E Gaspar
- Department of Radiation Oncology, University of Colorado and Banner MDAnderson of Northern Colorado, USA
| | - Chad G Rusthoven
- Department of Radiation Oncology, Anschutz Medical Campus, Aurora, USA
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre and University of Toronto, Canada
| | - Anca L Grosu
- Department of Radiation Oncology, Medical Center, Medical Faculty, University Freiburg, Germany
| | - Dirk De Ruysscher
- Department of Radiation Oncology (MAASTRO Clinic), Maastricht University Medical Center, GROW, The Netherlands
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17
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Nieder C, Dalhaug A, Haukland E. Recursive Partitioning Analysis of Systemic Therapy after Radiotherapy in Patients with Brain Metastases. Oncol Res Treat 2021; 44:86-92. [PMID: 33477159 DOI: 10.1159/000513975] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 12/21/2020] [Indexed: 11/19/2022]
Abstract
PURPOSE The purpose of this study was to identify factors associated with the initiation or continuation of systemic treatment after brain irradiation. The outcome of interest was a utilization rate of at least 75%, given that active extracranial disease is common in patients with brain metastases. If left untreated, extracranial disease limits survival, regardless of successful local treatment of the brain metastases. In this context, systemic therapy has been shown to improve survival, e.g., after whole-brain radiotherapy. PATIENTS AND METHODS The study included 185 patients with active extracranial disease, 60% of whom received systemic therapy. RESULTS Survival from the start of brain irradiation was longest in patients who received additional immune checkpoint inhibitors, endocrine treatment, or anti-HER-2 drugs. After uni- and multivariate analyses, Eastern Cooperative Oncology Group performance status (PS) was selected as the first prediction criterion in the recursive partitioning analysis (RPA) decision tree analysis. RPA was successful for patients with PS 0-1, but patients with PS 2 had lower treatment utilization rates (maximum 60-70%, with a disease-dependent impact of age and LabBM score [blood test results]). The highest utilization rates were observed in (1) patients with PS 0 and (2) those with breast cancer, small-cell lung cancer, or lung adenocarcinoma with PS 1. CONCLUSIONS These results inform the multidisciplinary discussion and treatment planning for the common scenario of simultaneous intra- and extracranial metastases.
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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,
| | - Astrid Dalhaug
- Department of Oncology and Palliative Medicine, Nordland Hospital, Bodø, Norway
| | - Ellinor Haukland
- 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
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18
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Systemic inflammation scores correlate with survival prognosis in patients with newly diagnosed brain metastases. Br J Cancer 2021; 124:1294-1300. [PMID: 33473170 PMCID: PMC8007827 DOI: 10.1038/s41416-020-01254-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 12/07/2020] [Accepted: 12/17/2020] [Indexed: 11/08/2022] Open
Abstract
Background Systemic inflammation measured by the neutrophil-to-lymphocyte ratio (NLR), leucocyte-to-lymphocyte ratio (LLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR) and CRP/albumin ratio (CRP/Alb) was shown to impact the survival prognosis in patients with extracranial solid cancer. Methods One thousand two hundred and fifty patients with newly diagnosed brain metastases (BM) were identified from the Vienna Brain Metastasis Registry. Results PLR and CRP/Alb were higher in patients with progressive extracranial disease and lower in patients with no evidence of extracranial disease. Lower NLR (cut-off = 5.07; 9.3 vs. 5.0 months), LLR (cut-off = 5.76; 10.0 vs. 5.3 months), PLR (cut-off = 335; 8.0 vs. 3.8 months), MLR (cut-off = 0.53; 6.0 vs. 3.5 months) and CRP/Alb (cut-off = 2.93; 8.5 vs. 3.7 months; padj < 0.05) were associated with longer overall survival (OS). In multivariate analysis with graded prognostic assessment (hazard ratio (HR) 1.45; 95% confidence interval (CI): 1.32–1.59; padj = 1.62e − 13), NLR (HR 1.55; 95% CI: 1.38–1.75; padj = 1.92e − 11), LLR (HR 1.57; 95% CI: 1.39–1.77; padj = 1.96e − 11), PLR (HR 1.60; 95% CI: 1.39–1.85; padj = 2.87955e − 9), MLR (HR 1.41; 95% CI: 1.14–1.75; padj = 0.027) and CRP/Alb (HR 1.83; 95% CI: 1.54–2.18; padj = 2.73e − 10) remained independent factors associated with OS at BM diagnosis. Conclusions Systemic inflammation, measured by NLR, LLR, PLR, MLR and CRP/Alb, was associated with OS in patients with BM. Further exploration of immune modulating therapies is warranted in the setting of BM.
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Nieder C, Yobuta R, Mannsåker B. LabBM Score and Extracranial Score As New Tools for Predicting Survival in Patients with Brain Metastases Treated with Focal Radiotherapy. Cureus 2020; 12:e7633. [PMID: 32399365 PMCID: PMC7213767 DOI: 10.7759/cureus.7633] [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] [Indexed: 11/05/2022] Open
Abstract
Background Two recently validated, untraditional prognostic scores include serum albumin and lactate dehydrogenase, among other parameters. The latter are hemoglobin, platelet counts, and C-reactive protein (three-tiered LabBM score), whereas the four-tiered extracranial score includes more than one extracranial site of metastatic involvement. Until now, head-to-head comparisons of these two scores in patients treated with focal radiotherapy for newly diagnosed brain metastases are not available. Methods This was a retrospective single-institution analysis of 51 patients, most of whom were managed with first-line stereotactic radiosurgery (SRS). Survival was stratified by the LabBM score and extracranial score. Results Both scores predicted survival, but the analyses were hampered by small subgroups. In particular, very few patients belonged to the unfavorable groups. Survival shorter than two months, which was recorded in 14%, was not well predicted by the LabBM score and extracranial score. Conclusions Very few patients treated with focal radiotherapy (largely SRS) had unfavorable prognostic features according to the two untraditional scores, which do not include the number of brain metastases and performance status. Additional research is needed to improve the tools that predict short survival because overtreatment during the terminal phase of metastatic disease continues to represent a relevant issue.
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20
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Nieder C, Hess S, Lewitzki V. External Validation of a Prognostic Score for Patients with Brain Metastases: Extended Diagnosis-Specific Graded Prognostic Assessment. Oncol Res Treat 2020; 43:221-227. [PMID: 32213772 DOI: 10.1159/000506954] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 02/28/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE The aim of our study was the external validation of an extended variant of the four-tiered diagnosis-specific graded prognostic assessment (DS-GPA) that includes more information about extracranial disease burden and blood test results, and predicts survival of patients with brain metastases. The extracranial DS-GPA (EC-GPA) includes serum albumin, lactate dehydrogenase, and number of extracranial organs involved. Originally, the score was developed in Germany. PATIENTS AND METHODS A retrospective analysis of 236 patients with brain metastases treated with primary whole-brain radiotherapy in North-Norway was performed (independent external validation cohort). RESULTS The four-tiered EC-GPA score showed good discrimination between all prognostic groups (log-rank test p < 0.05 for all pairwise comparisons). One-year survival was 0, 11, 30, and 100%, respectively. Median survival was 0.7 months (95% CI, 0.5-0.9) in the worst prognostic group, with a hazard ratio for death of 44.31 (95% CI, 5.78-339.50) compared to the best group. In the German database, the corresponding HR was 31.64 (median survival 0.4 months). The remaining hazard ratios in this validation study were 7.13 and 12.10, compared with 4.84 and 9.26 in the score development study. CONCLUSIONS This study provides an independent validation of the EC-GPA, which was the best prognostic model for defining patients who did not benefit from radiation therapy of brain metastases in terms of overall survival in the original German study. The proposed modification of the established DS-GPA should undergo further validation in multi-institutional databases.
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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,
| | - Sebastian Hess
- Department of Radiation Oncology, University Hospital Würzburg, Würzburg, Germany
| | - Victor Lewitzki
- Department of Radiation Oncology, University Hospital Würzburg, Würzburg, Germany
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21
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Zakaria R, Chen YJ, Hughes DM, Wang S, Chawla S, Poptani H, Berghoff AS, Preusser M, Jenkinson MD, Mohan S. Does the application of diffusion weighted imaging improve the prediction of survival in patients with resected brain metastases? A retrospective multicenter study. Cancer Imaging 2020; 20:16. [PMID: 32028999 PMCID: PMC7006156 DOI: 10.1186/s40644-020-0295-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 01/22/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Brain metastases are common in clinical practice. Many clinical scales exist for predicting survival and hence deciding on best treatment but none are individualised and none use quantitative imaging parameters. A multicenter study was carried out to evaluate the prognostic utility of a simple diffusion weighted MRI parameter, tumor apparent diffusion coefficient (ADC). METHODS A retrospective analysis of imaging and clinical data was performed on a cohort of 223 adult patients over a ten-year period 2002-2012 pooled from three institutions. All patients underwent surgical resection with histologically confirmed brain metastases and received adjuvant whole brain radiotherapy and/or chemotherapy. Survival was modelled using standard clinical variables and statistically compared with and without the addition of tumor ADC. RESULTS The median overall survival was 9.6 months (95% CI 7.5-11.7) for this cohort. Greater age (p = 0.002), worse performance status (p < 0.0001) and uncontrolled extracranial disease (p < 0.0001) were all significantly associated with shorter survival in univariate analysis. Adjuvant whole brain radiotherapy (p = 0.007) and higher tumor ADC (p < 0.001) were associated with prolonged survival. Combining values of tumor ADC with conventional clinical scoring systems such as the Graded Prognostic Assessment (GPA) score significantly improved the modelling of survival (e.g. concordance increased from 0.5956 to 0.6277 with Akaike's Information Criterion reduced from 1335 to 1324). CONCLUSIONS Combining advanced MRI readings such as tumor ADC with clinical scoring systems is a potentially simple method for improving and individualising the estimation of survival in patients having surgery for brain metastases.
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Affiliation(s)
- Rasheed Zakaria
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK. .,Institute of Integrative Biology, University of Liverpool, Liverpool, UK.
| | - Yin Jie Chen
- Division of Neuroradiology, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | | | - Sumei Wang
- Division of Neuroradiology, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | - Sanjeev Chawla
- Division of Neuroradiology, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | - Harish Poptani
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Anna S Berghoff
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria
| | - Matthias Preusser
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria
| | - Michael D Jenkinson
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK.,Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Suyash Mohan
- Division of Neuroradiology, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
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22
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Wang FX, Chen K, Huang FQ, Alolga RN, Ma J, Wu ZX, Fan Y, Ma G, Guan M. Cerebrospinal fluid-based metabolomics to characterize different types of brain tumors. J Neurol 2019; 267:984-993. [PMID: 31822990 DOI: 10.1007/s00415-019-09665-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 11/30/2019] [Accepted: 12/03/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND Brain tumors cause significant morbidity and mortality due to rapid progression and high recurrence risks. Reliable biomarkers to improve diagnosis thereof are desirable. OBJECTIVE This work aimed to identify panels of biomarkers for diagnostic purposes using cerebrospinal fluid (CSF)-based metabolomics. METHODS A cohort of 163 histologically-proven patients with brain disorders was involved. Comprehensive CSF-based metabolomics was achieved by liquid chromatography-quadrupole time-of-flight spectrometric (LC-Q/TOF-MS) and multivariate statistical analyses. The diagnostic performance of the metabolic markers was evaluated using receiver operating characteristic curves. RESULTS A total of 508 ion features were detected by the LC-Q/TOF-MS analysis, of which 27 metabolites were selected as diagnostic markers to discriminate different brain tumor types. The area under the curve (AUC) was 0.91 for lung adenocarcinoma patients with brain metastases (MBT) vs. lung adenocarcinoma patients without brain metastases (NMBT), 0.83 for primary central nervous system lymphoma (PCNSL) vs. secondary central nervous system involvement of systemic lymphoma (SCNSL), 0.77 for PCNSL vs. MBT, 0.87 for SCNSL vs. MBT, 0.86 for MBT vs. nontumorous brain diseases (NT), and 0.80 for PCNSL vs. NT. Perturbed metabolic pathways between the comparisons related mainly to amino acids and citrate metabolism. CONCLUSIONS CSF-based metabolomics to a large extent reliably identifies significant metabolic differences between different brain tumors and shows great potential for diagnosis of brain tumors.
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Affiliation(s)
- Feng-Xiang Wang
- Clinical Metabolomics Center, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, China
| | - Kun Chen
- Department of Clinical Laboratory, North Huashan Hospital, Fudan University, Shanghai, China
| | - Feng-Qing Huang
- Clinical Metabolomics Center, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, China
| | - Raphael N Alolga
- Clinical Metabolomics Center, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, China
| | - Jingjing Ma
- Department of Hematology, North Huashan Hospital, Fudan University, Shanghai, China
| | - Zi-Xuan Wu
- Clinical Metabolomics Center, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, China
| | - Yuanming Fan
- Clinical Metabolomics Center, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, China
| | - Gaoxiang Ma
- Clinical Metabolomics Center, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, China.
| | - Ming Guan
- Central Laboratory, Huashan Hospital, Fudan University, 108 Luxiang Avenue, Baoshan District, Shanghai, China.
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23
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Steindl A, Schlieter F, Klikovits T, Leber E, Gatterbauer B, Frischer JM, Dieckmann K, Widhalm G, Zöchbauer-Müller S, Hoda MAR, Preusser M, Berghoff AS. Prognostic assessment in patients with newly diagnosed small cell lung cancer brain metastases: results from a real-life cohort. J Neurooncol 2019; 145:85-95. [PMID: 31456143 PMCID: PMC6775039 DOI: 10.1007/s11060-019-03269-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Accepted: 08/21/2019] [Indexed: 01/17/2023]
Abstract
Purposes Brain metastases (BM) are a frequent complication in small cell lung cancer (SCLC), resulting in a reduced survival prognosis. Precise prognostic assessment is an important foundation for treatment decisions and clinical trial planning. Methods Patients with newly diagnosed SCLC BM were identified from the Vienna Brain Metastasis Registry and evaluated concerning prognostic factors. Results 489 patients (male 62.2%, female 37.8%; median age 61 years) were included. Neurological symptoms were present in 297/489 (60.7%) patients. A- to oligosymptomatic patients (5 vs. 9 months, p = 0.030) as well as patients with synchronous diagnosis of BM and primary tumor (5 vs. 9 months, p = 0.008) presented with improved overall survival (OS) prognosis. RPA (HR 1.66; 95% CI 1.44–1.91; p < 0.001), GPA (HR 1.65; p < 0.001), DS-GPA (HR 1.60; p < 0.001) and LabBM score (HR 1.69; p < 0.001) were statistically significantly associated with OS. In multivariate analysis, DS-GPA (HR 1.59; p < 0.001), neurological deficits (HR 1.26; p = 0.021) and LabBM score (HR 1.57; p < 0.001) presented with statistical independent association with OS. Conclusion A- to oligosymptomatic BM as well as synchronous diagnosis of SCLC and BM were associated with improved OS. Established prognostic scores could be validated in this large SCLC BM real-life cohort. Electronic supplementary material The online version of this article (10.1007/s11060-019-03269-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ariane Steindl
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.,Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Franziska Schlieter
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.,Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Thomas Klikovits
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria
| | - Elena Leber
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.,Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Brigitte Gatterbauer
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Josa M Frischer
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Karin Dieckmann
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Radiotherapy, Medical University of Vienna, Vienna, Austria
| | - Georg Widhalm
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Sabine Zöchbauer-Müller
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.,Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Mir Ali Reza Hoda
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.,Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Anna S Berghoff
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria. .,Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
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24
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Nieder C, Dalhaug A, Pawinski A. External Validation of the LabBM Score in Patients With Brain Metastases. J Clin Med Res 2019; 11:321-325. [PMID: 31019625 PMCID: PMC6469893 DOI: 10.14740/jocmr3746] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Accepted: 03/16/2019] [Indexed: 01/16/2023] Open
Abstract
Background The aim of this study was to validate the prognostic impact of the recently introduced three-tiered LabBM score in patients with brain metastases. In contrast to the previous development and validation cohorts, the present cohort did not include patients treated with primary surgery and/or radiosurgery. The score is based on hemoglobin, platelet counts, albumin, C-reactive protein and lactate dehydrogenase. Methods This was a retrospective single institution analysis. Overall, 167 patients managed with first-line whole-brain radiotherapy (WBRT) were identified from a prospectively maintained database. Results The LabBM score significantly predicted overall survival (median 4.0, 2.9 and 1.5 months, respectively). Conclusions The LabBM score is also valid in a patient population that differs from the previously studied cohorts, that is patients who were judged to be better candidates for WBRT than surgery or radiosurgery. As these patients in general represent a less favorable subset, their median survival was shorter than reported in the development cohort (11, 7 and 3 months, respectively). Future studies should examine whether or not combinations of the LabBM and other scores, for example, lung-molGPA and melanoma-molGPA, improve the clinical value of single scores.
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Affiliation(s)
- Carsten Nieder
- Department of Oncology and Palliative Medicine, Nordland Hospital, Bodo, Norway.,Department of Clinical Medicine, Faculty of Health Sciences, UiT - The Arctic University of Norway, Tromso, Norway
| | - Astrid Dalhaug
- Department of Oncology and Palliative Medicine, Nordland Hospital, Bodo, Norway
| | - Adam Pawinski
- Department of Oncology and Palliative Medicine, Nordland Hospital, Bodo, Norway
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25
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Buecker R, Hong ZY, Liu XM, Jaenke G, Lu P, Schaefer U. Risk factors to identify patients who may not benefit from whole brain irradiation for brain metastases - a single institution analysis. Radiat Oncol 2019; 14:41. [PMID: 30866972 PMCID: PMC6417259 DOI: 10.1186/s13014-019-1245-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Accepted: 02/28/2019] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Radiotherapy plays a major role in the management of brain metastases. This study aimed to identify the subset of patients with multiple brain metastases who may not benefit from whole brain irradiation (WBI) due to a short survival time regardless of treatment. METHODS We analyzed a total of 339 patient records with brain metastases treated with whole brain radiotherapy from January 2009 to January 2016. External beam radiotherapy techniques were used to deliver 33 Gy in 11 fractions (4 fractions per week) to the whole brain. Eight clinical factors with a potential influence on survival were investigated using the Kaplan-Meier method. All factors with a P < 0.05 in univariate analysis were entered into multivariate analysis using Cox regression. RESULTS In the present series of 339 patients, median survival time was 2.5 months (M; range, 0-61 months). Four risk factors Karnofsky Performance Score (KPS) < 70, age > 70, > 3 of metastases intracranial, uncontrolled primary tumor) were identified that were significant and negatively correlated with median survival time. Patients with no risk factors had a median survival of 4.7 M; one risk factor, 2.5 M; two risk factors, 2.3 M; and 3-4 risk factors, 0.4 M (p < 0.00001). CONCLUSIONS Patients with identified risk factors might have a negatively impacted overall survival after WBI. Accordingly, patients who will not benefit from WBI can be easily predicted if they have 3-4 of these risk factors.
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Affiliation(s)
- Rebecca Buecker
- Department of Radiotherapy, General Hospital of Lippe, GmbH Rintelner Straße 85
- , Lemgo, Lippe, Germany
| | - Zhen-Yu Hong
- Department of Radiotherapy, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Xiao-Mei Liu
- Department of Radiotherapy, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Gert Jaenke
- Department of Radiotherapy, General Hospital of Lippe, GmbH Rintelner Straße 85
- , Lemgo, Lippe, Germany
| | - Ping Lu
- Department of Radiotherapy, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Ulrich Schaefer
- Department of Radiotherapy, General Hospital of Lippe, GmbH Rintelner Straße 85
- , Lemgo, Lippe, Germany.
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26
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Preusser M, Winkler F, Valiente M, Manegold C, Moyal E, Widhalm G, Tonn JC, Zielinski C. Recent advances in the biology and treatment of brain metastases of non-small cell lung cancer: summary of a multidisciplinary roundtable discussion. ESMO Open 2018; 3:e000262. [PMID: 29387475 PMCID: PMC5786916 DOI: 10.1136/esmoopen-2017-000262] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 11/21/2017] [Accepted: 11/29/2017] [Indexed: 12/21/2022] Open
Abstract
This article is the result of a round table discussion held at the European Lung Cancer Conference (ELCC) in Geneva in May 2017. Its purpose is to explore and discuss the advances in the knowledge about the biology and treatment of brain metastases originating from non-small cell lung cancer. The authors propose a series of recommendations for research and treatment within the discussed context.
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Affiliation(s)
- Matthias Preusser
- Clinical Division of Oncology, Department of Medicine I, Comprehensive Cancer Centre, Medical University Vienna - General Hospital, Vienna, Austria
| | - Frank Winkler
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.,Clinical Cooperation Unit Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Manuel Valiente
- Brain Metastasis Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Christian Manegold
- Medical Faculty Mannheim, University of Heidelberg, Mannheim, Baden-Württemberg, Germany
| | - Elizabeth Moyal
- Radiation Oncology Department, Radiobiology team 11, UMR1037 INSERM, Institut Universitaire du Cancer de Toulouse Oncopole, Centre de Recherche contre le Cancer, Toulouse, France
| | - Georg Widhalm
- Department of Neurosurgery, Medical University of Vienna (MUV), Vienna, Austria.,Department of Neurosurgery, University of California San Francisco (UCSF), San Francisco, USA.,Comprehensive Cancer Center-Central Nervous System Tumours Unit (CCC-CNS), Medical University Vienna (MUV), Vienna, Austria
| | - Jörg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians University, Munich-Grosshadern, Germany and German Cancer Consortium (DKTK) at the German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Christoph Zielinski
- Clinical Division of Oncology, Department of Medicine I, Comprehensive Cancer Centre, Medical University Vienna - General Hospital, Vienna, Austria
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