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Sun Y, Chen Y, Zhang X, Yi D, Kong F, Zhao L, Liao D, Chen L, Ma Q, Wang Z. ADCY4 promotes brain metastasis in small cell lung cancer and is associated with energy metabolism. Heliyon 2024; 10:e28162. [PMID: 38596032 PMCID: PMC11001775 DOI: 10.1016/j.heliyon.2024.e28162] [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: 10/17/2023] [Revised: 02/29/2024] [Accepted: 03/13/2024] [Indexed: 04/11/2024] Open
Abstract
Brain metastasis (BMs) in small cell lung cancer (SCLC) has a very poor prognosis. This study combined WGCNA with the mfuzz algorithm to identify potential biomarkers in the peripheral blood of patients with BMs. By comparing the significantly differentially expressed genes present in BMs samples, we identified ADCY4 as a target for further study. Expression of ADCY4 was used to cluster mfuzz expression pattern, and 28 hub genes for functional enrichment. PPI network analysis were obtained by comparing with differentially expressed genes in BMs. GABRE, NFE4 and LMOD2 are highly expressed in patients with BMs and have a good diagnostic effect. Immunoinfiltration analysis showed that SCLC patients with BMs may be associated with memory B cells, Tregs, NK cell activation, macrophage M0 and dendritic cell activation. prophytic was used to investigate the ADCY4-mediated anti-tumor drug response. In conclusion, ADCY4 can be used as a promising candidate biomarker for predicting BMs, molecular and immune features in SCLC. PCR showed that ADCY4 expression was increased in NCI-H209 and NCI-H526 SCLC cell lines. In vitro experiments confirmed that the expression of ADCY4 was significantly decreased after anti-PD1 antibody treatment, while the expression of energy metabolism factors were significantly different. This study reveals a potential mechanism by which ADCY4 mediates poor prognosis through energy metabolism -related pathways in SCLC.
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Affiliation(s)
- Yidan Sun
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300382, China
| | - Yixun Chen
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Xin Zhang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300382, China
| | - Dan Yi
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300382, China
| | - Fanming Kong
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300382, China
| | - Linlin Zhao
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300382, China
| | - Dongying Liao
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300382, China
| | - Lei Chen
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300382, China
| | - Qianqian Ma
- Affiliated Women's Hospital of Jiangnan University Wuxi, Jiangsu, China
| | - Ziheng Wang
- Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
- Department of Clinical Bio-bank, Affiliated Hospital of Nantong University, Jiangsu, China
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Gao X, Liu T, Fan M, Sun H, Zhou S, Zhou Y, Zhu H, Zhang R, Li Z, Huang W. The therapeutic effect of radiotherapy combined with systemic therapy compared to radiotherapy alone in patients with simple brain metastasis after first-line treatment of limited-stage small cell lung cancer: a retrospective study. World J Surg Oncol 2024; 22:89. [PMID: 38600579 PMCID: PMC11005192 DOI: 10.1186/s12957-024-03372-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 03/28/2024] [Indexed: 04/12/2024] Open
Abstract
PURPOSE We aimed to compare the therapeutic effect of radiotherapy (RT) plus systemic therapy (ST) with RT alone in patients with simple brain metastasis (BM) after first-line treatment of limited-stage small cell lung cancer (LS-SCLC). METHODS The patients were treated at a single center from January 2011 to January 2022. BM only without metastases to other organs was defined as simple BM. The eligible patients were divided into RT alone (monotherapy arm) and RT plus ST (combined therapy arm). Univariate and multivariate Cox proportional hazards analyses were used to examine factors associated with increased risk of extracranial progression. After 1:1 propensity score matching analysis, two groups were compared for extracranial progression-free survival (ePFS), PFS, overall survival (OS), and intracranial PFS (iPFS). RESULTS 133 patients were identified and 100 were analyzed (monotherapy arm: n = 50, combined therapy arm: n = 50). The ePFS of the combined therapy was significantly longer than that of the monotherapy, with a median ePFS of 13.2 months (95% CI, 6.6-19.8) in combined therapy and 8.2 months (95% CI, 5.7-10.7) in monotherapy (P = 0.04). There were no statistically significant differences in PFS (P = 0.057), OS (P = 0.309), or iPFS (P = 0.448). Multifactorial analysis showed that combined therapy was independently associated with better ePFS compared with monotherapy (HR = 0.617, P = 0.034); more than 5 BMs were associated with worse ePFS compared with 1-5 BMs (HR = 1.808, P = 0.012). CONCLUSIONS Compared with RT alone, combined therapy improves ePFS in patients with simple BM after first-line treatment of LS-SCLC. Combined therapy and 1-5 BMs reduce the risk of extracranial recurrence.
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Affiliation(s)
- Xinyu Gao
- School of Clinical Medicine, Weifang Medical University, Weifang, China
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China
| | - Tingting Liu
- Department of Nuclear Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China
| | - Min Fan
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China
| | - Hongfu Sun
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China
| | - Shixuan Zhou
- School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Yuxin Zhou
- School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Haolin Zhu
- School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Ru Zhang
- School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Zhanyuan Li
- School of Clinical Medicine, Weifang Medical University, Weifang, China
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China
| | - Wei Huang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China.
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Armocida D, Pesce A, Palmieri M, Cofano F, Palmieri G, Cassoni P, Busceti CL, Biagioni F, Garbossa D, Fornai F, Santoro A, Frati A. EGFR-Driven Mutation in Non-Small-Cell Lung Cancer (NSCLC) Influences the Features and Outcome of Brain Metastases. J Clin Med 2023; 12:jcm12103372. [PMID: 37240478 DOI: 10.3390/jcm12103372] [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: 04/06/2023] [Revised: 04/29/2023] [Accepted: 05/03/2023] [Indexed: 05/28/2023] Open
Abstract
Background: Brain metastases (BMs) is one of the most frequent metastatic sites for non-small-cell lung cancer (NSCLC). It is a matter of debate whether EGFR mutation in the primary tumor may be a marker for the disease course, prognosis, and diagnostic imaging of BMs, comparable to that described for primary brain tumors, such as glioblastoma (GB). This issue was investigated in the present research manuscript. Methods: We performed a retrospective study to identify the relevance of EGFR mutations and prognostic factors for diagnostic imaging, survival, and disease course within a cohort of patients affected by NSCLC-BMs. Imaging was carried out using MRI at various time intervals. The disease course was assessed using a neurological exam carried out at three-month intervals. The survival was expressed from surgical intervention. Results: The patient cohort consisted of 81 patients. The overall survival of the cohort was 15 ± 1.7 months. EGFR mutation and ALK expression did not differ significantly for age, gender, and gross morphology of the BM. Contrariwise, the EGFR mutation was significantly associated with MRI concerning the occurrence of greater tumor (22.38 ± 21.35 cm3 versus 7.68 ± 6.44 cm3, p = 0.046) and edema volume (72.44 ± 60.71 cm3 versus 31.92 cm3, p = 0.028). In turn, the occurrence of MRI abnormalities was related to neurological symptoms assessed using the Karnofsky performance status and mostly depended on tumor-related edema (p = 0.048). However, the highest significant correlation was observed between EGFR mutation and the occurrence of seizures as the clinical onset of the neoplasm (p = 0.004). Conclusions: The presence of EGFR mutations significantly correlates with greater edema and mostly a higher seizure incidence of BMs from NSCLC. In contrast, EGFR mutations do not affect the patient's survival, the disease course, and focal neurological symptoms but seizures. This contrasts with the significance of EGFR in the course and prognosis of the primary tumor (NSCLC).
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Affiliation(s)
- Daniele Armocida
- Human Neurosciences Department, Neurosurgery Division, "Sapienza" University, 00161 Rome, RM, Italy
- IRCCS "Neuromed", 86077 Pozzilli, IS, Italy
| | - Alessandro Pesce
- Neurosurgery Unit, "Santa Maria Goretti" University Hospital, 04100 Latina, LT, Italy
| | - Mauro Palmieri
- Human Neurosciences Department, Neurosurgery Division, "Sapienza" University, 00161 Rome, RM, Italy
| | - Fabio Cofano
- Neurosurgery Unit, Department of Neuroscience "Rita Levi Montalcini", University of Turin, 10126 Turin, TO, Italy
| | - Giuseppe Palmieri
- Neurosurgery Unit, Department of Neuroscience "Rita Levi Montalcini", University of Turin, 10126 Turin, TO, Italy
| | - Paola Cassoni
- Pathology Unit, Department of Medical Sciences, University of Turin, 10126 Turin, TO, Italy
| | | | | | - Diego Garbossa
- Neurosurgery Unit, Department of Neuroscience "Rita Levi Montalcini", University of Turin, 10126 Turin, TO, Italy
| | | | - Antonio Santoro
- Human Neurosciences Department, Neurosurgery Division, "Sapienza" University, 00161 Rome, RM, Italy
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Chen M, Wang P, Guo Y, Yin Y, Wang L, Su Y, Gong G. The effect of time delay for magnetic resonance contrast-enhanced scan on imaging for small-volume brain metastases. Neuroimage Clin 2022; 36:103223. [PMID: 36209620 PMCID: PMC9668622 DOI: 10.1016/j.nicl.2022.103223] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 09/07/2022] [Accepted: 10/03/2022] [Indexed: 11/11/2022]
Abstract
PURPOSE To study the effect of different enhancement timings of magnetic resonance (MR) on small-volume brain metastases (BM) visualisation and provide a basis for the contour of tumour targets. METHOD We prospectively enrolled 101 patients with BM who received radiotherapy. All patients underwent computed tomography (CT) and MR simulations. Contrast-enhanced MR scans at 1, 3, 5, 10, 18, and 20 min after injection of contrast medium were performed. The tumour target was determined on MR images at different enhancement times, and the differences of tumour target volume, maximum diameter, and MR signal intensity were compared. RESULTS (1) Of the 453 metastatic lesions, 24 (5.2 %) were not detected at 1 min and 8 (1.8 %) were not detected at 3 min; however, all metastases were detected after 5 min. The volume and maximum diameter of the 28 (6.2 %) metastases were stable at any time. (2) The average volume of metastatic lesions at 1, 3, 5, 10, 18, and 20 min was 0.09 cm3, 0.10 cm3, 0.12 cm3, 0.12 cm3, 0.13 cm3, and 0.13 cm3, respectively. Compared to 1 min, BM volume at other times increased by 13.1 %, 21.5 %, 31.6 %, 39.6 %, and 41.7 %, and the difference between the maximum and minimum volumes was statistically significant (p < 0.05). (3) The distribution of the maximum ratio of tumours to white matter mean signal intensity at different times were 39.6 %, 20 %, 14.6 %, 8.0 %, 10.4 %, and 10 %, respectively. CONCLUSION The visualisation of small-volume BM was significantly different at different enhancement times. Our results suggest that multi-timing enhancement scans for small-volume BM should be implemented and that scanning at >10 min is essential.
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Affiliation(s)
- Mingming Chen
- Department of Radiation Physics, Shandong First Medical University Affiliated Cancer Hospital, Shandong Cancer Hospital and Institute (Shandong Cancer Hospital), Jinan 250117, China,College of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Pengcheng Wang
- College of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Yujie Guo
- Department of Radiation Physics, Shandong First Medical University Affiliated Cancer Hospital, Shandong Cancer Hospital and Institute (Shandong Cancer Hospital), Jinan 250117, China
| | - Yong Yin
- Department of Radiation Physics, Shandong First Medical University Affiliated Cancer Hospital, Shandong Cancer Hospital and Institute (Shandong Cancer Hospital), Jinan 250117, China
| | - Lizhen Wang
- Department of Radiation Physics, Shandong First Medical University Affiliated Cancer Hospital, Shandong Cancer Hospital and Institute (Shandong Cancer Hospital), Jinan 250117, China
| | - Ya Su
- Department of Radiation Physics, Shandong First Medical University Affiliated Cancer Hospital, Shandong Cancer Hospital and Institute (Shandong Cancer Hospital), Jinan 250117, China
| | - Guanzhong Gong
- Department of Radiation Physics, Shandong First Medical University Affiliated Cancer Hospital, Shandong Cancer Hospital and Institute (Shandong Cancer Hospital), Jinan 250117, China,Department of Engineering Physics, Tsing Hua University, Beijing 100084, China,Corresponding author at: Department of Radiation Physics, Shandong First Medical University Affiliated Cancer Hospital, Shandong Cancer Hospital and Institute (Shandong Cancer Hospital), Jinan 250117, China.
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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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Zhou G, Zhang Z, Yu P, Geng R, Wang G, Ma W, Gao J, Zheng Z, Li Y. Predictive value of clinical characteristics on risk and prognosis of synchronous brain metastases in small-cell lung cancer patients: A population-based study. Cancer Med 2022; 12:1195-1203. [PMID: 35831985 PMCID: PMC9883432 DOI: 10.1002/cam4.4978] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Revised: 06/05/2022] [Accepted: 06/13/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Patients with small-cell lung cancer (SCLC) have a high incidence of synchronous brain metastases (SBM) and a poor prognosis, which causes a heavy burden of morbidity and mortality. A better understanding of the demographic and tumor-specific characteristics of these patients is critical to guiding clinical practice. The purpose of this study was to investigate the predictive and prognostic value of the clinical characteristics of SCLC patients with SBM at initial diagnosis. METHODS This is a retrospective study based on the data in the latest Surveillance, Epidemiology, and End Results (SEER) version which was released in 2021 for patients diagnosed with SCLC in the presence or absence of SBM from 2010 to 2018. Multivariable logistic regression was performed to identify predictors of the presence of SBM at the initial diagnosis. Kaplan-Meier curves and multivariable Cox regression models were built to compare the prognosis of patients with different clinical characteristics and treatments. RESULTS A total of 33,169 SCLC patients were enrolled in this study, including 5711 (17.2%) patients with SBM and 27,458 (82.8%) patients without SBM. Patients who are black(HR = 1.313, 95% CI = 1.167-1.478, p < 0.001), higher T stage (T2, HR = 1.193, 95%CI = 1.065-1.348, p = 0.005; T3, HR = 1.169, 95%CI = 1.029-1.327, p = 0.016; T4, HR = 1.259, 95%CI = 1.117-1.418, p < 0.001), lung metastases (HR = 1.434, 95%CI = 1.294-1.588, p < 0.001) and bone metastases (HR = 1.311, 95% CI = 1.205-1.426, p < 0.001) had greater odds of SBM at initial diagnosis. The median overall survival (OS) for SCLC patients with SBM was 5.0 months. Multivariable Cox regression revealed that age ≥ 65 (HR = 1.164, 95% CI = 1.086-1.247, p < 0.025), singled (HR = 1.095, 95% CI = 1.020-1.174, p = 0.012), higher T stage (T3, HR = 1.265, 95% CI = 1.123-1.425, p < 0.001; T4, HR = 1.192, 95% CI = 1.066-1.332, p = 0.002), higher N stage (N2, HR = 1.347, 95%CI = 1.214-1.494, p < 0.001; N3, HR = 1.452, 95%CI = 1.292-1.632, p < 0.001), liver metastases (HR = 1.415, 95%CI = 1.306-1.533, p < 0.001), and bone metastases (adjusted HR = 1.126, 95%CI = 1.039-1.221, p = 0.004). Analysis of treatment regimens showed that patients who received combinational treatment exhibited longer OS than chemotherapy or radiotherapy alone, and surgery combined with chemotherapy and radiotherapy exhibited the longest OS. CONCLUSIONS In this study, we identified risk factors for SBM in SCLC patients and prognostic indicators among this patient population. We also found that patients who received different therapeutic strategies exhibited significant difference on OS, which will provide evidence-based support for treatment options.
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Affiliation(s)
- Gang Zhou
- Department of Neurosurgery, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Zhiyuan Zhang
- Department of International Medical Services, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Peng Yu
- Department of International Medical Services, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Ruixuan Geng
- Department of International Medical Services, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Guige Wang
- Department of Thoracic Surgery, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Wenbin Ma
- Department of Neurosurgery, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Jun Gao
- Department of Neurosurgery, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Zhibo Zheng
- Department of International Medical Services, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina,Department of Thoracic Surgery, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
| | - Yongning Li
- Department of Neurosurgery, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina,Department of International Medical Services, Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina
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Qiu J, Ke D, Yu Y, Lin H, Zheng Q, Li H, Zheng H, Liu L, Wang Z, Wu Y, Liu T, Li J. A New Nomogram and Risk Stratification of Brain Metastasis by Clinical and Inflammatory Parameters in Stage III Small Cell Lung Cancer Without Prophylactic Cranial Irradiation. Front Oncol 2022; 12:882744. [PMID: 35875127 PMCID: PMC9300937 DOI: 10.3389/fonc.2022.882744] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/27/2022] [Indexed: 11/17/2022] Open
Abstract
Background This study was conducted to determine risk factors for developing brain metastasis (BM) and to predict brain metastasis free survival (BMFS) and overall survival (OS) by combining several clinical parameters and inflammatory indexes. Materials and Methods A nomogram and risk stratification were developed based on multivariate analysis results. The prognostic index (PI) predicting the high risk of BM was calculated by multiplying the weighted factor (β coefficient) with each variable. Results Thirty-two of one hundred patients (32.0%) developed BM. Multivariate cox regression analysis revealed that concurrent chemoradiotherapy (CCRT; hazard ratio (HR), 3.356; p = 0.020), monocyte–lymphocyte ratio (MLR; HR, 4.511; p = 0.002), neutrophil–lymphocyte ratio (NLR; HR, 4.023; p = 0.033), and prognostic-nutrition index (PNI; HR, 2.902; p = 0.018) were independent prognostic factors of BMFS. The nomogram has good accuracy in predicting BMFS, and the C-index was 0.73. The ROC curve showed that these risk factors have good discriminant ability. Similarly, tumor location (HR, 1.675; p = 0.035) and MLR (HR, 2.076; p = 0.013) were independent prognostic factors of OS. In the subgroup analysis of OS, the good group had a better prognosis than the other groups. Risk stratification by PI: the high-risk group had worse BMFS than the low-risk group, which also has certain practical significance for clinical practice in OS. Conclusion We developed a nomogram and corresponding risk stratification in stage III SCLC patients who developed BM. This model and risk stratification can help clinicians improve patient treatment management and better deliver personalized therapy.
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Ramos A, Giantini-Larsen A, Pannullo SC, Brandmaier A, Knisely J, Magge R, Wilcox JA, Pavlick AC, Ma B, Pisapia D, Ashamalla H, Ramakrishna R. A multidisciplinary management algorithm for brain metastases. Neurooncol Adv 2022; 4:vdac176. [PMID: 36532509 PMCID: PMC9749403 DOI: 10.1093/noajnl/vdac176] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023] Open
Abstract
The incidence of brain metastases continues to present a management issue despite the advent of improved systemic control and overall survival. While the management of oligometastatic disease (ie, 1-4 brain metastases) with surgery and radiation has become fairly straightforward in the era of radiosurgery, the management of patients with multiple metastatic brain lesions can be challenging. Here we review the available evidence and provide a multidisciplinary management algorithm for brain metastases that incorporates the latest advances in surgery, radiation therapy, and systemic therapy while taking into account the latest in precision medicine-guided therapies. In particular, we argue that whole-brain radiation therapy can likely be omitted in most patients as up-front therapy.
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Affiliation(s)
- Alexander Ramos
- Department of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA
| | - Alexandra Giantini-Larsen
- Department of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA
| | - Susan C Pannullo
- Department of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA
| | - Andrew Brandmaier
- Department of Radiation Oncology, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA
| | - Jonathan Knisely
- Department of Radiation Oncology, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA
| | - Rajiv Magge
- Department of Neurology, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA
| | - Jessica A Wilcox
- Department of Neurology, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Anna C Pavlick
- Department of Oncology, Weill Cornell Medicine, New York Presbyterian, New York, New York, USA
| | - Barbara Ma
- Department of Oncology, Weill Cornell Medicine, New York Presbyterian, New York, New York, USA
| | - David Pisapia
- Department of Pathology, Weill Cornell Medicine, New York Presbyterian, New York, New York, USA
| | - Hani Ashamalla
- Department of Neurology, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA
| | - Rohan Ramakrishna
- Department of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA
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Ankolekar A, De Ruysscher D, Reymen B, Houben R, Dekker A, Roumen C, Fijten R. Shared decision-making for prophylactic cranial irradiation in extensive-stage small-cell lung cancer: an exploratory study. Transl Lung Cancer Res 2021; 10:3120-3131. [PMID: 34430352 PMCID: PMC8350106 DOI: 10.21037/tlcr-21-175] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 05/25/2021] [Indexed: 12/30/2022]
Abstract
Background Prophylactic cranial irradiation (PCI) offers extensive-stage small-cell lung cancer (ES-SCLC) patients a lower chance of brain metastasis and slightly longer survival but is associated with a short-term decline in quality of life due to side-effects. This tradeoff between survival and quality of life makes PCI suitable for shared decision-making (SDM), where patients and clinicians make treatment decisions together based on clinical evidence and patient preferences. Despite recent clinical practice guidelines recommending SDM for PCI in ES-SCLC, as well as the heavy disease burden, research into SDM for lung cancer has been scarce. This exploratory study presents patients’ experiences of the SDM process and decisional conflict for PCI. Methods Radiation oncologists (n=7) trained in SDM applied it in making the PCI decision with ES-SCLC patients (n=25). We measured patients’ preferred level of participation (Control Preferences Scale), the level of SDM according to both groups (SDM-Q-9 and SDM-Q-Doc), and patients’ decisional conflict [decisional conflict scale (DCS)]. Results Seventy-nine percent of patients preferred a collaborative role in decision-making, and median SDM scores given by patients and clinicians were 80 (IQR: 75.6–91.1) and 85.2 (IQR: 78.7–88.9) respectively, indicating satisfaction with the process. However, patients experienced considerable decisional conflict. Over 50% lacked clarity about which choice was suitable for them and were unsure what to choose. Sixty-four percent felt they did not know enough about the harms and benefits of PCI, and 60% felt unable to judge the importance of the harms/benefits in their life. Conclusions ES-SCLC patients prefer to be involved in their treatment choice for PCI but a substantial portion experiences decisional conflict. Better information provision and values clarification may support patients in making a choice that reflects their preferences.
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Affiliation(s)
- Anshu Ankolekar
- Department of Radiation Oncology (MAASTRO), GROW School for Oncology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Dirk De Ruysscher
- Department of Radiation Oncology (MAASTRO), GROW School for Oncology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Bart Reymen
- Department of Radiation Oncology (MAASTRO), GROW School for Oncology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Ruud Houben
- Department of Radiation Oncology (MAASTRO), GROW School for Oncology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Andre Dekker
- Department of Radiation Oncology (MAASTRO), GROW School for Oncology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Cheryl Roumen
- Department of Radiation Oncology (MAASTRO), GROW School for Oncology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Rianne Fijten
- Department of Radiation Oncology (MAASTRO), GROW School for Oncology, Maastricht University Medical Center+, Maastricht, The Netherlands
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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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Rusthoven CG, Camidge DR, Robin TP, Brown PD. Radiosurgery for Small-Cell Brain Metastases: Challenging the Last Bastion of Preferential Whole-Brain Radiotherapy Delivery. J Clin Oncol 2020; 38:3587-3591. [PMID: 32776807 DOI: 10.1200/jco.20.01823] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Chad G Rusthoven
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO
| | - D Ross Camidge
- Division of Medical Oncology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO
| | - Tyler P Robin
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO
| | - Paul D Brown
- Department of Radiation Oncology, Mayo Clinic, Rochester, MD
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