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Hafler D, Lu B, Lucca L, Lewis W, Wang J, Nogeuira C, Heer S, Axisa PP, Buitrago-Pocasangre N, Pham G, Kojima M, Wei W, Aizenbud L, Bacchiocchi A, Zhang L, Walewski J, Chiang V, Olino K, Clune J, Halaban R, Kluger Y, Coyle A, Kisielow J, Obermair FJ, Kluger H. Circulating Tumor Reactive KIR+CD8+ T cells Suppress Anti-Tumor Immunity in Patients with Melanoma. Res Sq 2024:rs.3.rs-3956671. [PMID: 38464315 PMCID: PMC10925449 DOI: 10.21203/rs.3.rs-3956671/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Effective anti-tumor immunity is largely driven by cytotoxic CD8+ T cells that can specifically recognize tumor antigens. However, the factors which ultimately dictate successful tumor rejection remain poorly understood. Here we identify a subpopulation of CD8+ T cells which are tumor antigen-specific in patients with melanoma but resemble KIR+CD8+ T cells with a regulatory function (Tregs). These tumor antigen-specific KIR+CD8+ T cells are detectable in both the tumor and the blood, and higher levels of this population are associated with worse overall survival. Our findings therefore suggest that KIR+CD8+ Tregs are tumor antigen-specific but uniquely suppress anti-tumor immunity in patients with melanoma.
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Bin-Alamer O, Abou-Al-Shaar H, Singh R, Mallela AN, Legarreta A, Bowden G, Mathieu D, Perlow HK, Palmer JD, Elhamdani S, Shepard M, Liang Y, Nabeel AM, Reda WA, Tawadros SR, Abdelkarim K, El-Shehaby AMN, Emad Eldin R, Elazzazi AH, Warnick RE, Gozal YM, Daly M, McShane B, Addis-Jackson M, Karthikeyan G, Smith S, Picozzi P, Franzini A, Kaisman-Elbaz T, Yang HC, Hess J, Templeton K, Zhang X, Wei Z, Pikis S, Mantziaris G, Simonova G, Liscak R, Peker S, Samanci Y, Chiang V, Kersh CR, Lee CC, Trifiletti DM, Niranjan A, Hadjipanayis CG, Lunsford LD, Sheehan JP. Local control and survival after stereotactic radiosurgery for colorectal cancer brain metastases: an international multicenter analysis. J Neurosurg 2023:1-10. [PMID: 37948682 DOI: 10.3171/2023.8.jns231231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/18/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE The goal of this study was to characterize local tumor control (LC), overall survival (OS), and safety of stereotactic radiosurgery for colorectal brain metastasis (CRBM). METHODS Ten international institutions participating in the International Radiosurgery Research Foundation provided data for this retrospective case series. This study included 187 patients with CRBM (281 tumors), with a median age of 62 years and 56.7% being male. Most patients (53.5%) had solitary tumors, although 10.7% had > 5 tumors. The median tumor volume was 2.7 cm3 (IQR 0.22-8.1 cm3), and the median margin dose was 20 Gy (IQR 18-22 Gy). RESULTS The 3-year LC and OS rates were 72% and 20%, respectively. Symptomatic adverse radiation effects occurred in 1.6% of patients. In the multivariate analysis, age > 65 years and tumor volume > 4.0 cm3 were significant predictors of tumor progression (hazard ratio [HR] 2.6, 95% CI 1.4-4.9; p = 0.003 and HR 3.4, 95% CI 1.7-6.9; p < 0.001, respectively). Better performance status (Karnofsky Performance Scale score > 80) was associated with a reduced risk of tumor progression (HR 0.38, 95% CI 0.19-0.73; p = 0.004). Patient age > 62 years (HR 1.6, 95% CI 1.1-2.3; p = 0.03) and the presence of active extracranial disease (HR 1.7, 95% CI 1.1-2.4; p = 0.009) were significantly associated with worse OS. CONCLUSIONS Stereotactic radiosurgery offers a high LC rate and a low rate of symptomatic adverse radiation effects for the majority of CRBMs. The OS and LC favored younger patients with high functional performance scores and inactive extracranial disease.
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Affiliation(s)
- Othman Bin-Alamer
- 1Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Hussam Abou-Al-Shaar
- 1Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Raj Singh
- 2Department of Radiation Oncology, Virginia Commonwealth University Health System, Richmond, Virginia
| | - Arka N Mallela
- 1Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Andrew Legarreta
- 1Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Greg Bowden
- 3Department of Neurosurgery, University of Alberta, Edmonton, Alberta, Canada
| | - David Mathieu
- 4Department of Neurosurgery, Université de Sherbrooke, Quebec, Canada
| | | | - Joshua D Palmer
- Departments of5Radiation Oncology and
- 6Neurosurgery, The James Cancer Hospital and Solove Research Institute, Ohio State University Wexner Medical Center, Columbus, Ohio
| | | | | | - Yun Liang
- 8Radiation Oncology, Allegheny Health Network, Pittsburgh, Pennsylvania
| | - Ahmed M Nabeel
- 9Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- 10Department of Neurosurgery, Benha University, Benha, Egypt
| | - Wael A Reda
- 9Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- Departments of11Neurosurgery and
| | - Sameh R Tawadros
- 9Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- Departments of11Neurosurgery and
| | - Khaled Abdelkarim
- 9Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- 12Clinical Oncology, Ain Shams University, Cairo, Egypt
| | - Amr M N El-Shehaby
- 9Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- Departments of11Neurosurgery and
| | - Reem Emad Eldin
- 9Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- 13Department of Radiation Oncology, National Cancer Institute, Cairo University, Cairo, Egypt
| | | | - Ronald E Warnick
- 15Gamma Knife Center, Jewish Hospital, Mayfield Clinic, Cincinnati, Ohio
| | - Yair M Gozal
- 15Gamma Knife Center, Jewish Hospital, Mayfield Clinic, Cincinnati, Ohio
| | - Megan Daly
- 16Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Brendan McShane
- 16Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Marcel Addis-Jackson
- 16Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Gokul Karthikeyan
- 16Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sian Smith
- 16Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Piero Picozzi
- 17Department of Neurosurgery, Humanitas Research Hospital-IRCCS, Milan, Italy
| | - Andrea Franzini
- 17Department of Neurosurgery, Humanitas Research Hospital-IRCCS, Milan, Italy
| | - Tehila Kaisman-Elbaz
- 18Rose Ella Burkhart Brain Tumor and Neuro-Oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio
| | - Huai-Che Yang
- 19Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
- 20National Yang Ming Chiao Tung University School of Medicine, Hsinchu, Taiwan
| | - Judith Hess
- 21Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
| | - Kelsey Templeton
- 21Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
| | - Xiaoran Zhang
- 1Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Zhishuo Wei
- 1Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | | | | | - Gabriela Simonova
- 23Department of Stereotactic and Radiation Neurosurgery, Na Homolce Hospital, Prague, Czech Republic
| | - Roman Liscak
- 23Department of Stereotactic and Radiation Neurosurgery, Na Homolce Hospital, Prague, Czech Republic
| | - Selcuk Peker
- 24Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey; and
| | - Yavuz Samanci
- 24Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey; and
| | - Veronica Chiang
- 21Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
| | - Charles R Kersh
- 25Radiation Oncology, University of Virginia, Charlottesville, Virginia
| | - Cheng-Chia Lee
- 19Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
- 20National Yang Ming Chiao Tung University School of Medicine, Hsinchu, Taiwan
| | - Daniel M Trifiletti
- 26Department of Radiation Oncology, Mayo Clinic Florida, Jacksonville, Florida
| | - Ajay Niranjan
- 1Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | | | - L Dade Lunsford
- 1Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Jason P Sheehan
- 21Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
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Kaur M, Cassinelli Petersen G, Jekel L, von Reppert M, Varghese S, Dixe de Oliveira Santo I, Avesta A, Aneja S, Omuro A, Chiang V, Aboian M. PACS-Integrated Tools for Peritumoral Edema Volumetrics Provide Additional Information to RANO-BM-Based Assessment of Lung Cancer Brain Metastases after Stereotactic Radiotherapy: A Pilot Study. Cancers (Basel) 2023; 15:4822. [PMID: 37835516 PMCID: PMC10571649 DOI: 10.3390/cancers15194822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/18/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
Stereotactic radiotherapy (SRT) is the standard of care treatment for brain metastases (METS) today. Nevertheless, there is limited understanding of how posttreatment lesional volumetric changes may assist prediction of lesional outcome. This is partly due to the paucity of volumetric segmentation tools. Edema alone can cause significant clinical symptoms and, therefore, needs independent study along with standard measurements of contrast-enhancing tumors. In this study, we aimed to compare volumetric changes of edema to RANO-BM-based measurements of contrast-enhancing lesion size. Patients with NSCLC METS ≥10 mm on post-contrast T1-weighted image and treated with SRT had measurements for up to seven follow-up scans using a PACS-integrated tool segmenting the peritumoral FLAIR hyperintense volume. Two-dimensional contrast-enhancing and volumetric edema changes were compared by creating treatment response curves. Fifty NSCLC METS were included in the study. The initial median peritumoral edema volume post-SRT relative to pre-SRT baseline was 37% (IQR 8-114%). Most of the lesions with edema volume reduction post-SRT experienced no increase in edema during the study. In over 50% of METS, the pattern of edema volume change was different than the pattern of contrast-enhancing lesion change at different timepoints, which was defined as incongruent. Lesions demonstrating incongruence at the first follow-up were more likely to progress subsequently. Therefore, edema assessment of METS post-SRT provides critical additional information to RANO-BM.
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Affiliation(s)
- Manpreet Kaur
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA; (M.K.); (L.J.)
- Medical Faculty, Ludwig-Maximilians-University of Munich, 80336 Munich, Germany
| | - Gabriel Cassinelli Petersen
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA; (M.K.); (L.J.)
| | - Leon Jekel
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA; (M.K.); (L.J.)
| | - Marc von Reppert
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA; (M.K.); (L.J.)
| | - Sunitha Varghese
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Irene Dixe de Oliveira Santo
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA; (M.K.); (L.J.)
| | - Arman Avesta
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06510, USA (S.A.)
| | - Sanjay Aneja
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06510, USA (S.A.)
| | - Antonio Omuro
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Veronica Chiang
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06510, USA (S.A.)
| | - Mariam Aboian
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA; (M.K.); (L.J.)
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4
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Singh R, Bowden G, Mathieu D, Perlow HK, Palmer JD, Elhamdani S, Shepard M, Liang Y, Nabeel AM, Reda WA, Tawadros SR, Abdelkarim K, El-Shehaby AMN, Emad RM, Elazzazi AH, Warnick RE, Gozal YM, Daly M, McShane B, Addis-Jackson M, Karthikeyan G, Smith S, Picozzi P, Franzini A, Kaisman-Elbaz T, Yang HC, Wei Z, Legarreta A, Hess J, Templeton K, Pikis S, Mantziaris G, Simonova G, Liscak R, Peker S, Samanci Y, Chiang V, Niranjan A, Kersh CR, Lee CC, Trifiletti DM, Lunsford LD, Sheehan JP. Local Control and Survival Outcomes After Stereotactic Radiosurgery for Brain Metastases From Gastrointestinal Primaries: An International Multicenter Analysis. Neurosurgery 2023; 93:592-598. [PMID: 36942965 DOI: 10.1227/neu.0000000000002456] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 01/17/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND There are limited data regarding outcomes for patients with gastrointestinal (GI) primaries and brain metastases treated with stereotactic radiosurgery (SRS). OBJECTIVE To examine clinical outcomes after SRS for patients with brain metastases from GI primaries and evaluate potential prognostic factors. METHODS The International Radiosurgery Research Foundation centers were queried for patients with brain metastases from GI primaries managed with SRS. Primary outcomes were local control (LC) and overall survival (OS). Kaplan-Meier analysis was used for univariate analysis (UVA) of prognostic factors. Factors significant on UVA were evaluated with a Cox multivariate analysis proportional hazards model. Logistic regressions were used to examine correlations with RN. RESULTS We identified 263 eligible patients with 543 brain metastases. Common primary sites were rectal (31.2%), colon (31.2%), and esophagus (25.5%) with a median age of 61.6 years (range: 37-91.4 years) and a median Karnofsky performance status (KPS) of 90% (range: 40%-100%). One-year and 2-year LC rates were 83.5% (95% CI: 78.9%-87.1%) and 73.0% (95% CI: 66.4%-78.5%), respectively. On UVA, age >65 years ( P = .001), dose <20 Gy ( P = .006) for single-fraction plans, KPS <90% ( P < .001), and planning target volume ≥2cc ( P = .007) were associated with inferior LC. All factors other than dose were significant on multivariate analysis ( P ≤ .002). One-year and 2-year OS rates were 68.0% (95% CI: 61.5%-73.6%) and 31.2% (95% CI: 24.6%-37.9%), respectively. Age > 65 years ( P = .006), KPS <90% ( P = .005), and extracranial metastases ( P = .05) were associated with inferior OS. CONCLUSION SRS resulted in comparable LC with common primaries. Age and KPS were associated with both LC and OS with planning target volume and extracranial metastases correlating with LC and OS, respectively. These factors should be considered in GI cancer patient selection for SRS.
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Affiliation(s)
- Raj Singh
- Department of Radiation Oncology, Virginia Commonwealth University Health System, Richmond, Virginia, USA
| | - Greg Bowden
- Department of Neurosurgery, University of Alberta, Edmonton, Canada
| | - David Mathieu
- Department of Neurosurgery, Université de Sherbrooke, Sherbrooke, Canada
| | - Haley K Perlow
- Departments of Radiation Oncology and Neurosurgery, The James Cancer Hospital and Solove Research Institute, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Joshua D Palmer
- Departments of Radiation Oncology and Neurosurgery, The James Cancer Hospital and Solove Research Institute, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Shahed Elhamdani
- Department of Neurosurgery, Allegheny Health Network, Pittsburgh, Pennsylvania, USA
| | - Matthew Shepard
- Department of Neurosurgery, Allegheny Health Network, Pittsburgh, Pennsylvania, USA
| | - Yun Liang
- Department of Radiation Oncology, Allegheny Health Network, Pittsburgh, Pennsylvania, USA
| | - Ahmed M Nabeel
- Department of Neurosurgery, Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- Department of Neurosurgery, Benha University, Banha, Egypt
| | - Wael A Reda
- Department of Neurosurgery, Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- Department of Neurosurgery, Ain Shams University, Cairo, Egypt
| | - Sameh R Tawadros
- Department of Neurosurgery, Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- Department of Neurosurgery, Ain Shams University, Cairo, Egypt
| | - Khaled Abdelkarim
- Department of Neurosurgery, Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- Department of Clinical Oncology, Ain Shams University, Cairo, Egypt
| | - Amr M N El-Shehaby
- Department of Neurosurgery, Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- Department of Neurosurgery, Ain Shams University, Cairo, Egypt
| | - Reem M Emad
- Department of Neurosurgery, Gamma Knife Center, Nasser Institute Hospital, Cairo, Egypt
- Department of Radiation Oncology, National Cancer Institute, Cairo University, Giza City, Egypt
| | | | - Ronald E Warnick
- Department of Neurosurgery, Gamma Knife Center, Jewish Hospital, Mayfield Clinic, Cincinnati, Ohio, USA
| | - Yair M Gozal
- Department of Neurosurgery, Gamma Knife Center, Jewish Hospital, Mayfield Clinic, Cincinnati, Ohio, USA
| | - Megan Daly
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brendan McShane
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Marcel Addis-Jackson
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Gokul Karthikeyan
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sian Smith
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Piero Picozzi
- Department of Neurosurgery, Humanitas Research Hospital - IRCCS, Rozzano, Italy
| | - Andrea Franzini
- Department of Neurosurgery, Humanitas Research Hospital - IRCCS, Rozzano, Italy
| | - Tehila Kaisman-Elbaz
- Department of Neurosurgery, Rose Ella Burkhart Brain Tumor and Neuro-Oncology Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Huai-Che Yang
- Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taipei, China
- Department of Neurosurgery, National Yang Ming Chiao Tung University School of Medicine, Taipei, China
| | - Zhishuo Wei
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Andrew Legarreta
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Judith Hess
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Kelsey Templeton
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Stylianos Pikis
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Georgios Mantziaris
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Gabriela Simonova
- Department of Stereotactic and Radiation Neurosurgery, Na Homolce Hospital, Prague, Czechia
| | - Roman Liscak
- Department of Stereotactic and Radiation Neurosurgery, Na Homolce Hospital, Prague, Czechia
| | - Selcuk Peker
- Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey
| | - Yavuz Samanci
- Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey
| | - Veronica Chiang
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Ajay Niranjan
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Charles R Kersh
- Department of Radiation Oncology, University of Virginia, Charlottesville, Virginia, USA
| | - Cheng-Chia Lee
- Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taipei, China
- Department of Neurosurgery, National Yang Ming Chiao Tung University School of Medicine, Taipei, China
| | - Daniel M Trifiletti
- Department of Radiation Oncology, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - L Dade Lunsford
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Jason P Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
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5
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Rusthoven CG, Staley AW, Gao D, Yomo S, Bernhardt D, Wandrey N, El Shafie R, Kraemer A, Padilla O, Chiang V, Faramand AM, Palmer JD, Zacharia BE, Wegner RE, Hattangadi-Gluth JA, Levy A, Bernstein K, Mathieu D, Cagney DN, Chan MD, Grills IS, Braunstein S, Lee CC, Sheehan JP, Kluwe C, Patel S, Halasz LM, Andratschke N, Deibert CP, Verma V, Trifiletti DM, Cifarelli CP, Debus J, Combs SE, Sato Y, Higuchi Y, Aoyagi K, Brown PD, Alami V, Niranjan A, Lunsford LD, Kondziolka D, Camidge DR, Kavanagh BD, Robin TP, Serizawa T, Yamamoto M. Comparison of first-line radiosurgery for small-cell and non-small cell lung cancer brain metastases (CROSS-FIRE). J Natl Cancer Inst 2023; 115:926-936. [PMID: 37142267 PMCID: PMC10407696 DOI: 10.1093/jnci/djad073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 03/23/2023] [Accepted: 04/28/2023] [Indexed: 05/06/2023] Open
Abstract
INTRODUCTION Historical reservations regarding stereotactic radiosurgery (SRS) for small-cell lung cancer (SCLC) brain metastases include concerns for short-interval and diffuse central nervous system (CNS) progression, poor prognoses, and increased neurological mortality specific to SCLC histology. We compared SRS outcomes for SCLC and non-small cell lung cancer (NSCLC) where SRS is well established. METHODS Multicenter first-line SRS outcomes for SCLC and NSCLC from 2000 to 2022 were retrospectively collected (n = 892 SCLC, n = 4785 NSCLC). Data from the prospective Japanese Leksell Gamma Knife Society (JLGK0901) clinical trial of first-line SRS were analyzed as a comparison cohort (n = 98 SCLC, n = 814 NSCLC). Overall survival (OS) and CNS progression were analyzed using Cox proportional hazard and Fine-Gray models, respectively, with multivariable adjustment for cofactors including age, sex, performance status, year, extracranial disease status, and brain metastasis number and volume. Mutation-stratified analyses were performed in propensity score-matched retrospective cohorts of epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) positive NSCLC, mutation-negative NSCLC, and SCLC. RESULTS OS was superior for patients with NSCLC compared to SCLC in the retrospective dataset (median OS = 10.5 vs 8.6 months; P < .001) and in the JLGK0901 dataset. Hazard estimates for first CNS progression favoring NSCLC were similar in both datasets but reached statistical significance in the retrospective dataset only (multivariable hazard ratio = 0.82, 95% confidence interval = 0.73 to 0.92, P = .001). In the propensity score-matched cohorts, there were continued OS advantages for NSCLC patients (median OS = 23.7 [EGFR and ALK positive NSCLC] vs 13.6 [mutation-negative NSCLC] vs 10.4 months [SCLC], pairwise P values < 0.001), but no statistically significant differences in CNS progression were observed in the matched cohorts. Neurological mortality and number of lesions at CNS progression were similar for NSCLC and SCLC patients. Leptomeningeal progression was increased in patients with NSCLC compared to SCLC in the retrospective dataset only (multivariable hazard ratio = 1.61, 95% confidence interval = 1.14 to 2.26, P = .007). CONCLUSIONS After SRS, SCLC histology was associated with shorter OS compared to NSCLC. CNS progression occurred earlier in SCLC patients overall but was similar in patients matched on baseline factors. SCLC was not associated with increased neurological mortality, number of lesions at CNS progression, or leptomeningeal progression compared to NSCLC. These findings may better inform clinical expectations and individualized decision making regarding SRS for SCLC patients.
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Affiliation(s)
- Chad G Rusthoven
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Alyse W Staley
- University of Colorado Cancer Center, Biostatistics Core, Aurora, CO, USA
| | - Dexiang Gao
- University of Colorado Cancer Center, Biostatistics Core, Aurora, CO, USA
| | - Shoji Yomo
- Division of Radiation Oncology, Aizawa Comprehensive Cancer Center, Division of Radiation Oncology, Aizawa Hospital, Matsumoto, Japan
| | - Denise Bernhardt
- Department of Radiation Oncology, Technical University of Munich (TUM), Munich, Germany
| | - Narine Wandrey
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Rami El Shafie
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- Department of Radiation Oncology, University Medical Center Göttingen, Göttingen, Germany
| | - Anna Kraemer
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Oscar Padilla
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, NY, USA
| | - Veronica Chiang
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew M Faramand
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, The James Comprehensive Cancer Center at The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Brad E Zacharia
- Department of Neurosurgery, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Rodney E Wegner
- Division of Radiation Oncology, Allegheny Health Network Cancer Institute, Pittsburgh, PA, USA
| | | | - Antonin Levy
- Department of Radiation Oncology, Gustave Roussy, Villejuif, Université Paris Saclay, France
| | - Kenneth Bernstein
- Department of Radiation Oncology, New York University Langone Medical Center, New York, NY, USA
| | - David Mathieu
- Division of Neurosurgery, Université de Sherbrooke, Centre de Recherche du CHUS, Sherbrooke, QC, Canada
| | - Daniel N Cagney
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Michael D Chan
- Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Inga S Grills
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA
| | - Steve Braunstein
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA
| | - Cheng-Chia Lee
- Taipei Veterans General Hospital, Department of Neurosurgery, Neurological Institute, Taipei, Taiwan
| | - Jason P Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA
| | - Christien Kluwe
- Department of Radiation Oncology, Vanderbilt University, Nashville, TN, USA
| | - Samir Patel
- Division of Radiation Oncology, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada
| | - Lia M Halasz
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA
| | - Nicolaus Andratschke
- Department of Radiation Oncology, University Hospital Zurich (USZ), The University of Zurich, Zurich, Switzerland
| | | | - Vivek Verma
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Daniel M Trifiletti
- Department of Radiation Oncology, Mayo Clinic Jacksonville, Jacksonville, FL, USA
| | | | - Jürgen Debus
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University of Munich (TUM), Munich, Germany
| | - Yasunori Sato
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Yoshinori Higuchi
- Department of Neurological Surgery, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Kyoko Aoyagi
- Gamma Knife House, Chiba Cerebral and Cardiovascular Center, Chiba, Japan
| | - Paul D Brown
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA
| | - Vida Alami
- University of Colorado Cancer Center, Biostatistics Core, Aurora, CO, USA
| | - Ajay Niranjan
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - L Dade Lunsford
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Douglas Kondziolka
- Department of Neurosurgery and Radiation Oncology, New York University Langone Medical Center, New York, NY, USA
| | - D Ross Camidge
- Division of Medical Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Brian D Kavanagh
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Tyler P Robin
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Toru Serizawa
- Tokyo Gamma Unit Center, Tsukiji Neurological Clinic, Tokyo, Japan
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6
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Kim MM, Mehta MP, Smart DK, Steeg PS, Hong JA, Espey MG, Prasanna PG, Crandon L, Hodgdon C, Kozak N, Armstrong TS, Morikawa A, Willmarth N, Tanner K, Boire A, Gephart MH, Margolin KA, Hattangadi-Gluth J, Tawbi H, Trifiletti DM, Chung C, Basu-Roy U, Burns R, Oliva ICG, Aizer AA, Anders CK, Davis J, Ahluwalia MS, Chiang V, Li J, Kotecha R, Formenti SC, Ellingson BM, Gondi V, Sperduto PW, Barnholtz-Sloan JS, Rodon J, Lee EQ, Khasraw M, Yeboa DN, Brastianos PK, Galanis E, Coleman CN, Ahmed MM. National Cancer Institute Collaborative Workshop on Shaping the Landscape of Brain Metastases Research: challenges and recommended priorities. Lancet Oncol 2023; 24:e344-e354. [PMID: 37541280 PMCID: PMC10681121 DOI: 10.1016/s1470-2045(23)00297-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/13/2023] [Accepted: 06/21/2023] [Indexed: 08/06/2023]
Abstract
Brain metastases are an increasing global public health concern, even as survival rates improve for patients with metastatic disease. Both metastases and the sequelae of their treatment are key determinants of the inter-related priorities of patient survival, function, and quality of life, mandating a multidimensional approach to clinical care and research. At a virtual National Cancer Institute Workshop in September, 2022, key stakeholders convened to define research priorities to address the crucial areas of unmet need for patients with brain metastases to achieve meaningful advances in patient outcomes. This Policy Review outlines existing knowledge gaps, collaborative opportunities, and specific recommendations regarding consensus priorities and future directions in brain metastases research. Achieving major advances in research will require enhanced coordination between the ongoing efforts of individual organisations and consortia. Importantly, the continual and active engagement of patients and patient advocates will be necessary to ensure that the directionality of all efforts reflects what is most meaningful in the context of patient care.
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Affiliation(s)
- Michelle M Kim
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA
| | - DeeDee K Smart
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Patricia S Steeg
- Women's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Julie A Hong
- Radiation Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, USA
| | - Michael G Espey
- Radiation Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, USA
| | - Pataje G Prasanna
- Radiation Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, USA
| | | | | | | | - Terri S Armstrong
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Aki Morikawa
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | - Kirk Tanner
- National Brain Tumor Society, Newton, MA, USA
| | - Adrienne Boire
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Jona Hattangadi-Gluth
- Department of Radiation Oncology, University of California San Diego Health, La Jolla, CA, USA
| | - Hussein Tawbi
- Department of Melanoma Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daniel M Trifiletti
- Department of Radiation Oncology, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Caroline Chung
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Robyn Burns
- Melanoma Research Foundation, Washington, DC, USA
| | - Isabella C Glitza Oliva
- Department of Melanoma Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ayal A Aizer
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, USA
| | - Carey K Anders
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | | | - Manmeet S Ahluwalia
- Department of Medical Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA
| | - Veronica Chiang
- Department of Neurosurgery and Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - Jing Li
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA
| | - Silvia C Formenti
- Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Vinai Gondi
- Department of Radiation Oncology, Northwestern Medicine Cancer Center Warrenville and Proton Center, Warrenville, IL, USA
| | - Paul W Sperduto
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | - Jill S Barnholtz-Sloan
- Informatics and Data Science Program, Center for Biomedical Informatics and Information Technology, Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jordi Rodon
- Department of Investigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eudocia Q Lee
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mustafa Khasraw
- Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
| | - Debra Nana Yeboa
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Priscilla K Brastianos
- Division of Hematology/Oncology and Division of Neuro-Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Evanthia Galanis
- Department of Oncology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
| | - C Norman Coleman
- Radiation Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, USA
| | - Mansoor M Ahmed
- Radiation Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, USA.
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7
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Moawad AW, Janas A, Baid U, Ramakrishnan D, Jekel L, Krantchev K, Moy H, Saluja R, Osenberg K, Wilms K, Kaur M, Avesta A, Pedersen GC, Maleki N, Salimi M, Merkaj S, von Reppert M, Tillmans N, Lost J, Bousabarah K, Holler W, Lin M, Westerhoff M, Maresca R, Link KE, Tahon NH, Marcus D, Sotiras A, LaMontagne P, Chakrabarty S, Teytelboym O, Youssef A, Nada A, Velichko YS, Gennaro N, Cramer J, Johnson DR, Kwan BY, Petrovic B, Patro SN, Wu L, So T, Thompson G, Kam A, Perez-Carrillo GG, Lall N, Albrecht J, Anazodo U, Lingaru MG, Menze BH, Wiestler B, Adewole M, Anwar SM, Labella D, Li HB, Iglesias JE, Farahani K, Eddy J, Bergquist T, Chung V, Shinohara RT, Dako F, Wiggins W, Reitman Z, Wang C, Liu X, Jiang Z, Van Leemput K, Piraud M, Ezhov I, Johanson E, Meier Z, Familiar A, Kazerooni AF, Kofler F, Calabrese E, Aneja S, Chiang V, Ikuta I, Shafique U, Memon F, Conte GM, Bakas S, Rudie J, Aboian M. The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI. ArXiv 2023:arXiv:2306.00838v1. [PMID: 37396600 PMCID: PMC10312806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Clinical monitoring of metastatic disease to the brain can be a laborious and timeconsuming process, especially in cases involving multiple metastases when the assessment is performed manually. The Response Assessment in Neuro-Oncology Brain Metastases (RANO-BM) guideline, which utilizes the unidimensional longest diameter, is commonly used in clinical and research settings to evaluate response to therapy in patients with brain metastases. However, accurate volumetric assessment of the lesion and surrounding peri-lesional edema holds significant importance in clinical decision-making and can greatly enhance outcome prediction. The unique challenge in performing segmentations of brain metastases lies in their common occurrence as small lesions. Detection and segmentation of lesions that are smaller than 10 mm in size has not demonstrated high accuracy in prior publications. The brain metastases challenge sets itself apart from previously conducted MICCAI challenges on glioma segmentation due to the significant variability in lesion size. Unlike gliomas, which tend to be larger on presentation scans, brain metastases exhibit a wide range of sizes and tend to include small lesions. We hope that the BraTS-METS dataset and challenge will advance the field of automated brain metastasis detection and segmentation.
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Affiliation(s)
| | - Anastasia Janas
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
- Charité - Universitatsmedizin, Berlin, Germany
| | - Ujjwal Baid
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania School of Medicine, Philadelphia, PA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Divya Ramakrishnan
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
| | - Leon Jekel
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
- DKFZ Division of Translational Neurooncology at the WTZ, German Cancer Consortium, DKTK Partner Site, University Hospital Essen, Essen, Germany
- German Cancer Research Center, Heidelberg, Germany
- University of Ulm, Ulm, Germany
| | - Kiril Krantchev
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
- Charité - Universitatsmedizin, Berlin, Germany
| | - Harrison Moy
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
| | | | - Klara Osenberg
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
- University of Leipzig, Leipzig, Germany
| | - Klara Wilms
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
- University of Leipzig, Leipzig, Germany
| | - Manpreet Kaur
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
- Ludwig Maximillian University, Munich, Germany
| | - Arman Avesta
- Yale University School of Medicine, Department of Radiology, New Haven, CT
| | - Gabriel Cassinelli Pedersen
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
| | - Nazanin Maleki
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
| | - Mahdi Salimi
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
| | - Sarah Merkaj
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
- University of Ulm, Ulm, Germany
| | - Marc von Reppert
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
- University of Leipzig, Leipzig, Germany
| | - Niklas Tillmans
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
- University of Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, Dusseldorf, Germany
| | - Jan Lost
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
- University of Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, Dusseldorf, Germany
| | | | | | - MingDe Lin
- Visage Imaging, Inc, San Diego, California, USA
| | | | - Ryan Maresca
- Yale University School of Medicine, Department of Therapeutic Radiology, New Haven, CT
| | | | | | | | | | | | | | | | - Ayda Youssef
- Yale University School of Medicine, Department of Radiology, New Haven, CT
| | | | - Yuri S. Velichko
- Northwestern University, Department of Radiology, Feinberg School of Medicine, Chicago, IL
| | - Nicolo Gennaro
- Northwestern University, Department of Radiology, Feinberg School of Medicine, Chicago, IL
| | - Connectome Students
- Connectome – Student Association for Neurosurgery, Neurology and Neurosciences E.V
| | | | | | | | - Benjamin Y.M. Kwan
- Queen’s University, Department of Diagnostic Radiology, Kingston, Canada
| | | | - Satya N. Patro
- University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Lei Wu
- University of Washington Department of Radiology, Seattle, WA
| | - Tiffany So
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong
| | | | - Anthony Kam
- Loyola University Medical Center, Chicago, IL
| | | | - Neil Lall
- Children’s Healthcare of Atlanta, Atlanta, GA
| | - Group of Approvers
- Connectome – Student Association for Neurosurgery, Neurology and Neurosciences E.V
| | | | - Udunna Anazodo
- Montreal Neurological Institute (MNI), McGill University, Montreal, CA
| | | | - Bjoern H Menze
- Biomedical Image Analysis & Machine Learning, Department of Quantitative Biomedicine, University of Zurich, Switzerland
| | - Benedikt Wiestler
- Department of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Maruf Adewole
- Medical Artificial Intelligence (MAI) Lab, Crestview Radiology, Lagos, Nigeria
| | | | | | - Hongwei Bran Li
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA
| | - Juan Eugenio Iglesias
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA
| | - Keyvan Farahani
- Cancer Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | | | | | - Russel Takeshi Shinohara
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA
| | - Farouk Dako
- Center for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | | | | | | | - Xinyang Liu
- Children’s National Hospital, Washington DC, USA
| | - Zhifan Jiang
- Children’s National Hospital, Washington DC, USA
| | - Koen Van Leemput
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark
| | | | - Ivan Ezhov
- Department of Informatics, Technical University Munich, Germany
| | - Elaine Johanson
- PrecisionFDA, U.S. Food and Drug Administration, Silver Spring, MD
| | | | - Ariana Familiar
- Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA
| | | | | | | | - Sanjay Aneja
- Yale University School of Medicine, Department of Therapeutic Radiology, New Haven, CT
| | - Veronica Chiang
- Yale University School of Medicine, Department of Neurosurgery, New Haven, CT
| | | | | | - Fatima Memon
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
| | | | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania School of Medicine, Philadelphia, PA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jeffrey Rudie
- University of California San Diego, San Diego, CA
- University of California San Francisco, San Francisco, CA
| | - Mariam Aboian
- Yale University School of Medicine, Department of Radiology, New Haven, CT
- ImagineQuant, Yale University School of Medicine, Department of Radiology, New Haven, CT
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8
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Lamsam L, Brigido MM, Sivaraju A, Hirsch LJ, Spencer DD, Chiang V, Damisah E. Transfrontal Approach to the Amygdala for Ablation With Laser Interstitial Thermal Therapy: An Epilepsy Case Report. Oper Neurosurg (Hagerstown) 2023; 24:e381-e384. [PMID: 36715982 PMCID: PMC10158899 DOI: 10.1227/ons.0000000000000576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 10/06/2022] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND AND IMPORTANCE Stereotactic laser amygdalohippocampotomy (SLAH) using laser interstitial thermal therapy is a minimally invasive surgery used to treat mesial temporal lobe epilepsy. It uses laser probes inserted through occipital and temporo-occipital trajectories to ablate the hippocampus and amygdala. However, these trajectories are limited in their ability to ablate the superior amygdala and entorhinal cortex (ERC). We present a trajectory through the middle frontal gyrus as an alternative to the temporo-occipital trajectory, which provides more complete ablation of the amygdala and anterior ERC through a single pass. CLINICAL PRESENTATION A 70-year-old woman with seizures characterized by fear were localized to the left superomedial amygdala on intracranial electroencephalography. They developed after resection of a left temporal arteriovenous malformation and were refractory to medication. Her age and prior craniotomy made open resection less desirable. A frontal and occipital SLAH achieved Engel 1a at 1-year follow-up without decline in neuropsychological performance scores. CONCLUSION Typical SLAH uses trajectories that have limited ability to ablate the superior and medial amygdala and ERC in a single passage. A combined approach using an occipital and frontal trajectory allows more complete ablation of the amygdala, hippocampus, and ERC.
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Affiliation(s)
- Layton Lamsam
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Mauricio Mandel Brigido
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Adithya Sivaraju
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Lawrence J. Hirsch
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Dennis D. Spencer
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Veronica Chiang
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Eyiyemisi Damisah
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
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9
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Draeger E, Chen Z(J, Hansen JE, Chiang V, Tien CJ. Preliminary dosimetric comparison between fixed and rotating source stereotactic radiosurgery systems. J Appl Clin Med Phys 2023; 24:e13907. [PMID: 36660774 PMCID: PMC10161057 DOI: 10.1002/acm2.13907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 10/05/2022] [Accepted: 12/30/2022] [Indexed: 01/21/2023] Open
Abstract
PURPOSE The Akesis Galaxy RTi (AK) is a novel rotational 60 Co-based cranial stereotactic radiosurgery (SRS) system. While similar systems have been compared against the fixed-source Leksell Gamma Knife (GK) system using stylized phantoms, dosimetric plan quality with realistic anatomy has yet to be characterized for this or any other rotating system versus GK. This study aims to benchmark AK dosimetric performance against GK by retrospectively replanning previously-treated GK patients at our institution. METHODS Thirteen patients, previously treated on a GK Icon, were re-planned on the AK treatment planning system using the same prescription doses and isodoses as the original GK plans. The cohort includes patients treated for brain metastases, schwannomas, pituitary adenomas, trigeminal neuralgias, and arteriovenous malformations. Plans are evaluated with target coverage metrics (Dmin , Dmean , D95% , V150% ) and dose conformality indices: Radiation Therapy Oncology Group conformity index (CI), selectivity, Paddick CI (PCI), gradient index (GI). RESULTS AK plans use fewer shots and larger collimation compared to GK plans, resulting in statistically significant reductions in treatment time (p = 0.047) by as much as 88.4 minutes while maintaining comparable target V100% . For most metastatic cases, GK produces higher Dmin (16.0-25.9 vs. 12.5-24.3 Gy, p = 0.008) while AK produces higher V150% (0.03-14.92 vs. 0.02-11.59 cc, p = 0.028). For non-metastatic cases, GK provides superior CI (p = 0.025) and GI (p = 0.044). No statistically significant differences were found in the remaining metrics. CONCLUSION This cohort demonstrates that the AK system is able to achieve largely comparable dosimetric results to GK, typically with shorter treatment times. Further investigation with a larger cohort is underway.
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Affiliation(s)
- Emily Draeger
- Department of Therapeutic RadiologyYale University School of MedicineNew HavenConnecticutUSA
| | - Zhe (Jay) Chen
- Department of Therapeutic RadiologyYale University School of MedicineNew HavenConnecticutUSA
| | - James E. Hansen
- Department of Therapeutic RadiologyYale University School of MedicineNew HavenConnecticutUSA
| | - Veronica Chiang
- Department of Therapeutic RadiologyYale University School of MedicineNew HavenConnecticutUSA
- Department of NeurosurgeryYale University School of MedicineNew HavenConnecticutUSA
| | - Christopher J. Tien
- Department of Therapeutic RadiologyYale University School of MedicineNew HavenConnecticutUSA
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10
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Robert S, Lu B, Arnal-Estape A, Nguyen D, Chiang V. 465 Defining the Immune Profile of Radiation Necrosis Through Single-cell Analysis of Intracranial Lesions. Neurosurgery 2023. [DOI: 10.1227/neu.0000000000002375_465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
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11
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Chan M, Tatter S, Chiang V, Fecci P, Strowd R, Prabhu S, Hadjipanayis C, Kirkpatrick J, Sun D, Sinicrope K, Mohammadi AM, Sevak P, Abram S, Kim AH, Leuthardt E, Chao S, Phillips J, Lacroix M, Williams B, Placantonakis D, Silverman J, Baumgartner J, Piccioni D, Laxton A. Efficacy of Laser Interstitial Thermal Therapy (LITT) for Biopsy-Proven Radiation Necrosis in Radiographically Recurrent Brain Metastases. Neurooncol Adv 2023; 5:vdad031. [PMID: 37114245 PMCID: PMC10129388 DOI: 10.1093/noajnl/vdad031] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023] Open
Abstract
Abstract
Background
LITT (laser interstitial thermal therapy) in the setting of post-SRS radiation necrosis (RN) for patients with brain metastases has growing evidence for efficacy. However, questions remain regarding hospitalization, local control, symptom control, and concurrent use of therapies.
Methods
Demographics, intraprocedural data, safety, Karnofsky performance status (KPS) and survival data were prospectively collected then analyzed on patients consented between 2016-2020 and who were undergoing LITT for biopsy-proven RN at one of 14 U.S. centers. Data was monitored for accuracy. Statistical analysis included individual variable summaries, multivariable Fine and Gray analysis, and Kaplan Meier estimated survival.
Results
Ninety patients met the inclusion criteria. Four patients underwent two ablations on the same day. Median hospitalization time was 32.5hrs. The median time to corticosteroid cessation after LITT was 13.0 days (0.0, 1229.0) and cumulative incidence of lesional progression was 19% at 1-year. Median post-procedure overall survival was 2.55 years [1.66, infinity] and 77.1% at one year as estimated by Kaplan Meier. Median KPS remained at 80 through 2-year follow-up. Seizure prevalence was 12% within 1-month post-LITT and 7.9% at three months; down from 34.4% within 60-days prior to procedure.
Conclusions
LITT for RN was not only again found to be safe with low patient morbidity but was also a highly effective treatment for RN for both local control and symptom management (including seizures). In addition to averting expected neurological death, LITT facilitates ongoing systemic therapy (in particular immunotherapy) by enabling the rapid cessation of steroids, thereby facilitating maximal possible survival for these patients.
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Affiliation(s)
- Michael Chan
- Corresponding Author: Michael Chan, Wake Forest Baptist Health, Winston-Salem, NC 27157, USA ()
| | - Steven Tatter
- Wake Forest Baptist Health, Winston-Salem, North Carolina, USA
| | | | - Peter Fecci
- Duke University Medical Center, Durham, North Carolina, USA
| | - Roy Strowd
- Wake Forest Baptist Health, Winston-Salem, North Carolina, USA
| | - Sujit Prabhu
- The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | | | - David Sun
- Norton Neuroscience Institute, Louisville, Kentucky, USA
| | | | | | - Parag Sevak
- Norton Neuroscience Institute, Louisville, Kentucky, USA
| | - Steven Abram
- Ascension St. Thomas Hospital West, Nashville, Tennessee, USA
| | - Albert H Kim
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Eric Leuthardt
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Samuel Chao
- Cleveland Clinic Lerner College of Medicine at CWRU, Cleveland, Ohio, USA
| | - John Phillips
- Ascension St. Thomas Hospital West, Nashville, Tennessee, USA
| | | | - Brian Williams
- University of Louisville Health, Louisville, Kentucky, USA
| | | | | | | | - David Piccioni
- University of California San Diego Health, La Jolla, California, USA
| | - Adrian Laxton
- Wake Forest Baptist Health, Winston-Salem, North Carolina, USA
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12
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Xu S, Campbell A, Chiang V, Bindra R, Vasquez J, Pashankar F. Use of stereotactic radiosurgery in treatment of brain metastases from pediatric extracranial solid tumors. Pediatr Blood Cancer 2023; 70:e30303. [PMID: 36975152 DOI: 10.1002/pbc.30303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/23/2023] [Accepted: 02/24/2023] [Indexed: 03/29/2023]
Affiliation(s)
- Suzanne Xu
- Yale University School of Medicine, New Haven, Connecticut, USA
| | - Allison Campbell
- Department of Radiation Oncology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Veronica Chiang
- Department of Radiation Oncology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Ranjit Bindra
- Department of Radiation Oncology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Juan Vasquez
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Farzana Pashankar
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
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13
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Chiang V, Kan A, Yeung H, Au E, Lau CS, Li PH. Polyethylene Glycol Allergy: Risks of Skin Testing and Complement-Mediated Anaphylaxis. J Investig Allergol Clin Immunol 2023; 33:71-73. [PMID: 35416153 DOI: 10.18176/jiaci.0813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- V Chiang
- Division of Clinical Immunology, Department of Pathology, Queen Mary Hospital, Hong Kong, China
| | - Akc Kan
- Division of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Hhy Yeung
- Division of Clinical Immunology, Department of Pathology, Queen Mary Hospital, Hong Kong, China
| | - Eyl Au
- Division of Clinical Immunology, Department of Pathology, Queen Mary Hospital, Hong Kong, China
| | - C S Lau
- Division of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - P H Li
- Division of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
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14
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Wandrey NE, Gao D, Robin TP, Contessa JN, Singh C, Chiang V, Li J, Chen A, Wang Y, Sheehan JP, Dutta SW, Weiss SE, Paly J, Rusthoven CG. Multicenter analysis of stereotactic radiosurgery for multiple brain metastases from EGFR and ALK driven non-small cell lung cancer. Lung Cancer 2023; 176:144-148. [PMID: 36641932 PMCID: PMC10552603 DOI: 10.1016/j.lungcan.2022.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 10/02/2022] [Accepted: 11/27/2022] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Patients with brain metastases (BrMs) arising from EGFR and ALK driven non-small cell lung cancer (NSCLC) have favorable prognoses and evolving treatment options. We evaluated multicenter outcomes for stereotactic radiosurgery (SRS) to multiple (≥4) BrMs, where randomized data remain limited. METHODS Data were collected retrospectively from 5 academic centers on EGFR and ALK NSCLC who received SRS to ≥4 BrMs with their first SRS treatment between 2008 and 2018. Analyzed endpoints included overall survival (OS), freedom from CNS progression (FFCNSP), and freedom from whole-brain radiotherapy (FFWBRT). RESULTS Eighty-nine patients (50 EGFR, 39 ALK) received a total of 159 SRS treatments to 1,080 BrMs, with a median follow up of 51.3 months. The median number of BrMs treated with SRS treatment-1 was 6 (range 4-26) and median for all treatments was 9 (range 4-47). Sixteen patients (18 %) had received WBRT prior to SRS treatment-1. The median OS was 24.2, 21.2, and 33.2 months for all patients, EGFR, and ALK subsets, respectively. After multivariable adjustment, only receipt of a next-generation tyrosine kinase inhibitor was associated with OS (HR 0.40, p = 0.005). No differences in OS were observed based on number of BrMs treated. The median FFCNSP was 9.4, 11.6, and 7.5 months, for all patients, EGFR, and ALK subsets, respectively. After multivariable adjustment, the number of BrMs (continuous) treated during treatment-1 was the only negative prognostic factor associated with FFCNSP (HR 1.071, p = 0.045). The 5-year FFWBRT was 73.6 %. CONCLUSIONS This multicenter analysis over a >10-year period demonstrated favorable OS, FFCNSP, and FFWBRT, in patients with EGFR and ALK driven NSCLC receiving SRS to ≥4 BrMs. These data support SRS as an option in the upfront and salvage setting for higher burden CNS disease in this population.
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Affiliation(s)
| | - Dexiang Gao
- University of Colorado, Aurora, CO, United States
| | | | | | - Charu Singh
- Yale University, New Haven, CT, United States
| | | | - Jing Li
- The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Aileen Chen
- The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Yan Wang
- The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | | | | | | | - Jonathan Paly
- Massachusetts General Hospital, Boston, MA, United States
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15
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Adua SJ, Arnal-Estapé A, Zhao M, Qi B, Liu ZZ, Kravitz C, Hulme H, Strittmatter N, López-Giráldez F, Chande S, Albert AE, Melnick MA, Hu B, Politi K, Chiang V, Colclough N, Goodwin RJA, Cross D, Smith P, Nguyen DX. Brain metastatic outgrowth and osimertinib resistance are potentiated by RhoA in EGFR-mutant lung cancer. Nat Commun 2022; 13:7690. [PMID: 36509758 PMCID: PMC9744876 DOI: 10.1038/s41467-022-34889-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 11/10/2022] [Indexed: 12/14/2022] Open
Abstract
The brain is a major sanctuary site for metastatic cancer cells that evade systemic therapies. Through pre-clinical pharmacological, biological, and molecular studies, we characterize the functional link between drug resistance and central nervous system (CNS) relapse in Epidermal Growth Factor Receptor- (EGFR-) mutant non-small cell lung cancer, which can progress in the brain when treated with the CNS-penetrant EGFR inhibitor osimertinib. Despite widespread osimertinib distribution in vivo, the brain microvascular tumor microenvironment (TME) is associated with the persistence of malignant cell sub-populations, which are poised to proliferate in the brain as osimertinib-resistant lesions over time. Cellular and molecular features of this poised state are regulated through a Ras homolog family member A (RhoA) and Serum Responsive Factor (SRF) gene expression program. RhoA potentiates the outgrowth of disseminated tumor cells on osimertinib treatment, preferentially in response to extracellular laminin and in the brain. Thus, we identify pre-existing and adaptive features of metastatic and drug-resistant cancer cells, which are enhanced by RhoA/SRF signaling and the brain TME during the evolution of osimertinib-resistant disease.
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Affiliation(s)
- Sally J Adua
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Anna Arnal-Estapé
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
| | - Minghui Zhao
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Bowen Qi
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Zongzhi Z Liu
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Carolyn Kravitz
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Heather Hulme
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, AstraZeneca, Cambridge, UK
| | - Nicole Strittmatter
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, AstraZeneca, Cambridge, UK
| | | | - Sampada Chande
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | | | - Mary-Ann Melnick
- Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
| | - Bomiao Hu
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Katerina Politi
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
- Department of Medicine (Medical Oncology), Yale University School of Medicine, New Haven, CT, USA
| | - Veronica Chiang
- Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | | | - Richard J A Goodwin
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, AstraZeneca, Cambridge, UK
| | - Darren Cross
- Global Oncology Medical Affairs, AstraZeneca, Cambridge, UK
| | - Paul Smith
- Bioscience, Early Oncology TDE, AstraZeneca, Cambridge, UK
| | - Don X Nguyen
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.
- Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA.
- Department of Medicine (Medical Oncology), Yale University School of Medicine, New Haven, CT, USA.
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16
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Kowalchuk RO, Niranjan A, Hess J, Antonios JP, Zhang MY, Braunstein S, Ross RB, Pikis S, Deibert CP, Lee CC, Yang HC, Langlois AM, Mathieu D, Peker S, Samanci Y, Rusthoven CG, Chiang V, Wei Z, Lunsford LD, Trifiletti DM, Sheehan JP. Stereotactic radiosurgery and local control of brain metastases from triple-negative breast cancer. J Neurosurg 2022:1-7. [PMID: 36433878 DOI: 10.3171/2022.10.jns221900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 10/18/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Stereotactic radiosurgery (SRS) is an effective treatment for intracranial metastatic disease, but its role in triple-negative breast cancer requires further study. Herein, the authors report overall survival (OS) and local tumor control in a multiinstitutional cohort with triple-negative breast cancer metastases treated with SRS. METHODS Patients treated from 2010 to 2019 at 9 institutions were included in this retrospective study if they had biopsy-proven triple-negative breast cancer with intracranial metastatic lesions treated with SRS. Patients were excluded if they had undergone prior SRS, whole-brain radiation therapy, or resection of the metastatic lesions. A retrospective chart review was conducted to determine OS, local control, and treatment efficacy. RESULTS Sixty-eight patients with 315 treated lesions were assessed. Patients had a median Karnofsky Performance Status of 80 (IQR 70-90) and age of 57 years (IQR 48-67 years). Most treated patients had 5 or fewer intracranial lesions, with 34% of patients having a single lesion. Treated lesions were small, having a median volume owf 0.11 cm3 (IQR 0.03-0.60 cm3). Patients were treated with a median margin dose of 18 Gy (IQR 18-20 Gy) to the median 71% isodose line (IQR 50%-84%). Overall, patients had a 1-year OS of 43% and 2-year OS of 20%. Most patients (88%) were followed until death, by which time local tumor progression had occurred in only 7% of cases. Furthermore, 76% of the lesions demonstrated regression. Tumor volume was correlated with local tumor progression (p = 0.012). SRS was very well tolerated, and only 3 patients (5%) developed symptomatic radiation necrosis. CONCLUSIONS SRS is a safe and efficacious treatment for well-selected patients with triple-negative breast cancer, especially for those with a favorable performance status and small- to moderate-volume metastatic lesions.
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Affiliation(s)
- Roman O Kowalchuk
- 1Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota
| | - Ajay Niranjan
- 2Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Judith Hess
- 3Department of Neurosurgery, Yale New Haven Hospital, New Haven, Connecticut
| | - Joseph P Antonios
- 3Department of Neurosurgery, Yale New Haven Hospital, New Haven, Connecticut
| | - Michael Y Zhang
- 4Department of Radiation Oncology, University of California, San Francisco, California
| | - Steve Braunstein
- 4Department of Radiation Oncology, University of California, San Francisco, California
| | - Richard B Ross
- 5Department of Radiation Oncology, University of Colorado, Boulder, Colorado
| | - Stylianos Pikis
- 6Department of Neurosurgery, University of Virginia Health System, Charlottesville, Virginia
| | | | - Cheng-Chia Lee
- 8Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
- 9National Yang-Ming University School of Medicine, Taipei, Taiwan
| | - Huai-Che Yang
- 8Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
- 9National Yang-Ming University School of Medicine, Taipei, Taiwan
| | - Anne-Marie Langlois
- 10Department of Neurosurgery, Université de Sherbrooke, Centre de recherche du CHUS, Sherbrooke, Québec, Canada
| | - David Mathieu
- 10Department of Neurosurgery, Université de Sherbrooke, Centre de recherche du CHUS, Sherbrooke, Québec, Canada
| | - Selcuk Peker
- 11Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey; and
| | - Yavuz Samanci
- 11Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey; and
| | - Chad G Rusthoven
- 5Department of Radiation Oncology, University of Colorado, Boulder, Colorado
| | - Veronica Chiang
- 3Department of Neurosurgery, Yale New Haven Hospital, New Haven, Connecticut
| | - Zhishuo Wei
- 2Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - L Dade Lunsford
- 2Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Jason P Sheehan
- 6Department of Neurosurgery, University of Virginia Health System, Charlottesville, Virginia
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Robert S, Lu B, Kiziltug E, Estape A, Nguyen D, Chiang V. IMMU-01. DEFINING THE IMMUNE PROFILE OF RADIATION NECROSIS THROUGH SINGLE-CELL ANALYSIS OF INTRACRANIAL LESIONS. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac209.499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
INTRODUCTION
The incidence of radiation necrosis (RN), a common and morbid side effect of radiosurgical management of brain metastases, is growing as patient survival and use of immunotherapy increases. RN is thought to be immunologically driven; however, its pathophysiology remains poorly understood. Further, difficulty distinguishing it radiographically from recurrent metastatic disease often necessitates invasive brain biopsies for diagnosis. We sought to define the neuroimmune profile of RN to better understand the underlying pathophysiological mechanisms and improve patient diagnosis.
METHODS
Over 12 months, we collected intraoperative samples from patients undergoing craniotomy for RN and/or metastatic tumor. We created a bank of these 16 patient samples and processed them for scRNAseq analysis. Using fluorescence-activated cell sorting (FACS) and 10x Genomics single cell RNA sequencing, we analyzed the cellular immune profile of lesional tissue and time-matched blood from each patient.
RESULTS
Compared to metastases, RN demonstrates decreased expression of FOXP3, NKG7, and GZMB, markers of regulatory and cytotoxic T, and natural killer (NK) cells, and increased expression of interleukin-7 receptor (IL7R), a marker of naïve and memory T cells – profiles reflective of bystander transcriptional signatures. In contrast, metastatic tissue demonstrates an antigen-reactive profile, including commonly observed exhaustion signatures. Importantly, blood samples from patients also reflect these differences. Interestingly, increased IL7R is implicated in autoimmune disorders, suggesting an iatrogenically-induced autoreactive process underlying RN.
DISCUSSION
These findings demonstrate, firstly, the feasibility of extracting live cells from RN tissue, and, secondly, suggest RN and metastases have unique immune profiles that can be detected in patient blood. Therefore, in addition to beginning to define the immune landscape of this poorly understood pathology, this work has the potential to open new avenues for the development of improved diagnostic and therapeutic approaches to allow for earlier detection and more effective treatment of RN in metastatic brain tumors patients.
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Affiliation(s)
- Stephanie Robert
- Department of Neurosurgery, Yale School of Medicine , New Haven, CT , USA
| | - Benjamin Lu
- Department of Neurology and Department of Immunobiology, Yale School of Medicine , New Haven, CT , USA
| | - Emre Kiziltug
- Department of Neurosurgery, Yale School of Medicine , New Haven, CT , USA
| | - Anna Estape
- Department of Pathology, Yale University , New Haven, CT , USA
| | - Don Nguyen
- Department of Pathology, Yale University , New Haven, CT , USA
| | - Veronica Chiang
- Yale School of Medicine, Department of Neurosurgery , New Haven, CT , USA
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18
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Jekel L, Bousabarah K, Lin M, Merkaj S, Kaur M, Avesta A, Aneja S, Omuro A, Chiang V, Scheffler B, Aboian M. NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET. Neuro Oncol 2022. [PMCID: PMC9661012 DOI: 10.1093/neuonc/noac209.622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
PURPOSE
Monitoring metastatic disease to the brain is laborious and time-consuming, especially in the setting of multiple metastases and when performed manually. Response assessment in brain metastases based on maximal unidimensional diameter as per the RANO-BM guideline is commonly performed1, however, accurate volumetric lesion estimates can be crucial for clinical decision-making2 and enhance outcome prediction3. We propose a deep learning (DL)-based auto-segmentation approach with the potential for improvement of time-efficiency, reproducibility and robustness against inter-rater variability. Materials and
METHODS
We retrospectively retrieved 259 patients with a total number of 916 lesions from our institutional database from 2014 - 2021. Patients with prior history of local radiation therapy or surgery were excluded. Manually generated trainee segmentations were revised and adjusted by a board-certified radiologist and served as ground truth for evaluation of segmentation accuracy. Model performance was tested via dice-similarity-coefficient (DSC). Volumetric measurements were then obtained within our PACS-integrated workflow on Visage 7 (Visage Imaging, Inc., San Diego, CA) at the click of one button.
RESULTS
For model training and evaluation, a train-test split of 90:10 on patient-level was performed (n= 234:25 (Patients), n= 861:55 (Lesions). A DL-algorithm (nnUNet) was incrementally trained on 10 batches of 23 patients. The DSC of the U-Net gradually increased throughout the training process and heuristically reached a plateau of 0.85. The sensitivity of the algorithm was 83% with detection of 46 out of 55 lesions in the testing dataset. The lesions that were not detected by the algorithm were below 5 mm in size. The false positive rate was 8% (n=4/50).
CONCLUSION
Our study demonstrates the feasibility of PACS-based integration of automatized segmentation workflows of brain metastases. An incremental-training approach is recommended to adapt DL algorithms to specific hospital settings.
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Affiliation(s)
- Leon Jekel
- Yale School of Medicine , New Haven , USA
| | | | - MingDe Lin
- Yale School of Medicine , New Haven , USA
| | | | | | - Arman Avesta
- Yale University School of Medicine , New Haven, CT , USA
| | - Sanjay Aneja
- Yale University School of Medicine , New Haven , USA
| | | | - Veronica Chiang
- Yale School of Medicine, Department of Neurosurgery , New Haven, CT , USA
| | - Björn Scheffler
- DKFZ-Division Translational Neurooncology at the West German Cancer Center (WTZ), DKTK Partner Site, University Medicine Essen; German Cancer Consortium (DKTK) , Essen , Germany
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de Groot J, Kim A, Prabhu S, Rao G, Laxton A, Fecci P, O'Brien B, Sloan A, Chiang V, Tatter S, Mohammadi A, Placantonakis D, Strowd R, Chen C, Hadjipanayis C, Khasraw M, Sun D, Piccioni D, Sinicrope K, Campian J, Kurz S, Williams B, Smith K, Tovar-Spinoza Z, Leuthardt E. SURG-23. EFFICACY OF LASER INTERSTITIAL THERMAL THERAPY (LITT) FOR NEWLY DIAGNOSED AND RECURRENT IDH WILD-TYPE GLIOBLASTOMA. Neuro Oncol 2022. [PMCID: PMC9660753 DOI: 10.1093/neuonc/noac209.989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Treatment options for glioblastoma remain limited, particularly for those who are not eligible for traditional resection, whether due to lesion location or inability to tolerate open craniotomy. Maximal-safe resection followed by radiation with concurrent and adjuvant temozolomide offers the best outcomes for patients. Unfortunately, not all tumors are amenable to conventional surgical resection at the time of diagnosis with only about 1/3 of patients able to receive a gross-total resection and 15-25% of patients receiving biopsy only, thus reducing their projected overall survival to 9 months. Laser interstitial thermal therapy (LITT) is a minimally invasive, cytoreductive tool, that has demonstrated safety as a surgical approach to treat primary brain tumors.
METHODS
Data from LAANTERN prospective multicenter registry (NCT02392078) was analyzed to determine clinical outcomes for patients with new and recurrent IDH wild-type glioblastoma (N=89). Demographics, intraprocedural data, adverse events, KPS, health-economics, and survival data were prospectively collected then analyzed separately for newly diagnosed GBM (N=29) and recurrent GBM (N=60).
RESULTS
Median overall-survival was 9.73 months (95% CI: 5.16, 15.91) for newly diagnosed patients and median post-procedure survival was 8.97 (6.94, 12.36) months for recurrent patients. Median overall-survival for newly diagnosed patients receiving post-LITT chemoradiotherapy was 16.14 months (6.11, not reached). The median length of hospital stay was 50 hours and 80% of patients were discharged to home.
CONCLUSIONS
LITT offers an effective cytoreductive approach for patients with newly diagnosed and recurrent IDH wild-type glioblastoma. Importantly, its use in newly diagnosed patients who receive post-LITT chemoradiotherapy leads to a median OS similar to that of patients treated with conventional surgical resection. LITT remains an important alternative for patients with inoperable tumors or those not amenable to resection. Enrollment in LAANTERN is ongoing and these cohorts will be revisited as data continues to mature. Benefits beyond cytoreduction are also being actively explored.
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Affiliation(s)
- John de Groot
- Brain Tumor Center University of California San Francisco , San Francisco , USA
| | - Albert Kim
- Washington University in St. Louis School of Medicine, Department of Neurosurgery , St Louis, MO , USA
| | - Sujit Prabhu
- The University of Texas MD Anderson Cancer Center, Department of Neurosurgery , Houston , USA
| | - Ganesh Rao
- Baylor College of Medicine, Department of Neurosurgery , Houston , USA
| | - Adrian Laxton
- Wake Forest Baptist Health, Department of Neurosurgery , Winston Salem , USA
| | - Peter Fecci
- Duke University Medical Center, Department of Neurosurgery , Durham, NC , USA
| | - Barbara O'Brien
- The University of Texas MD Anderson Cancer Center, Department of Neuro-Oncology , Houston , USA
| | - Andrew Sloan
- Department of Pathology and Department of Neurosurgery, Case Western Reserve University and University Hospitals Cleveland Medical Center; Seidman Cancer Center and Case Comprehensive Cancer Center , Cleveland , USA
| | - Veronica Chiang
- Yale School of Medicine, Department of Neurosurgery , New Haven, CT , USA
| | - Stephen Tatter
- Wake Forest Baptist Health, Department of Neurosurgery , Winston Salem , USA
| | | | | | - Roy Strowd
- Wake Forest Baptist Health, Department of Neuro-Oncology, Winston-Salem , NC , USA
| | - Clark Chen
- University of Minnesota Medical School, Department of Neurosurgery , Minneapolis, MN , USA
| | | | - Mustafa Khasraw
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center , Durham , USA
| | - David Sun
- Norton Neuroscience Institute, Department of Neurosurgery , Louisville, KY , USA
| | - David Piccioni
- University of California San Diego Health, Department of Neuro-Oncology , San Diego , USA
| | - Kaylyn Sinicrope
- Norton Neuroscience Institute, Department of Neuro-Oncology , Louisville, KY , USA
| | - Jian Campian
- Mayo Clinic, Department of Oncology , Rochester, MN , USA
| | - Sylvia Kurz
- NYU Langone Perlmutter Cancer Center, Department of Neuro-Oncology , New York, NY , USA
| | - Brian Williams
- University of Louisville Health, Department of Neurosurgery , Louisville, KY , USA
| | - Kris Smith
- Barrow Neurological Institute, Department of Neurosurgery , Phoenix, AZ , USA
| | - Zulma Tovar-Spinoza
- SUNY Upstate Medical University, Department of Neurosurgery , Syracuse, NY , USA
| | - Eric Leuthardt
- Washington University in St. Louis School of Medicine, Department of Neurosurgery , St. Louis, MO , USA
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Kim L, De Feyter H, de Graaf R, Fulbright R, Liu Y, Rothman D, Baehring J, Blondin N, Kim P, Omuro A, Chiang V, Moliterno J, Omay SB, Piepmeier J, Corbin Z. NIMG-105. DEUTERIUM METABOLIC IMAGING (DMI) DETECTS A LARGER WARBURG EFFECT IN HIGH-GRADE BRAIN TUMORS AND IN IDH WILD TYPE GLIOMAS. Neuro Oncol 2022. [PMCID: PMC9660955 DOI: 10.1093/neuonc/noac209.723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
BACKGROUND
The Warburg Effect (WE) is a metabolic change in which tumors favor glycolysis over oxidative phosphorylation and has been linked to cancer aggressiveness. Mutations in the isocitrate dehydrogenase (IDH) genes in gliomas are associated with improved outcomes. We deployed a magnetic resonance (MR) spectroscopic imaging technique coined Deuterium Metabolic Imaging (DMI) to measure the WE in multiple brain tumor types.
METHODS
Twenty-one patients underwent DMI, acquired on a Bruker 4T MR scanner after oral administration of 0.75g/kg of deuterated glucose. The WE was defined as the ratio of deuterated lactate, representing glycolysis, over deuterated glutamate and glutamine, representing oxidative phosphorylation. We devised an interval scale from 0 to 2 for the WE results. The Wilcoxon rank sum test was performed to detect differences between groups.
RESULTS
The WE measurements for the largest groups, by diagnosis, showed: glioblastoma (n= 9, mean= 1.67); astrocytoma, IDH-mutant, WHO grade 3 (n= 2, mean= 0.25); oligodendroglioma, WHO grade 3 (n= 3, mean= 0.5); low grade glioma, IDH-mutant (n= 2, mean= 0); and meningioma, WHO grade 2 (n= 2, mean= 0). The WE for high-grade tumors (n= 15, mean= 1.27) was significantly different from the WE for low-grade tumors (n= 5, mean= 0), with p= 0.010. The WE for IDH wild type gliomas (n= 9, mean= 1.67) was significantly different from the WE for IDH-mutant gliomas (n= 9, mean= 0.44), with p= 0.007. Analysis is ongoing.
CONCLUSIONS
DMI successfully and non-invasively detects the WE in many types of brain tumors. The WE was larger in high-grade tumors as compared to low-grade tumors, and the WE was larger in IDH wild type gliomas as compared to IDH-mutant gliomas. If validated with future studies, our results suggest that DMI is a useful tool to measure differences in the metabolism of brain tumors with different clinical behaviors.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Peter Kim
- Yale School of Medicine , New Haven , USA
| | | | - Veronica Chiang
- Yale School of Medicine, Department of Neurosurgery , New Haven, CT , USA
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21
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Kaur M, Petersen GC, von Reppert M, Jekel L, de Santo IDO, Varghese S, Chiang V, Aboian M. NIMG-04. LONGITUDINAL TRACKING OF PERITUMORAL EDEMA VOLUME USING PACS-INTEGRATED TOOLS PROVIDES CRITICAL INFORMATION IN TREATMENT ASSESSMENT OF NSCLC BRAIN METASTASES AFTER RADIOSURGERY. Neuro Oncol 2022. [PMCID: PMC9661156 DOI: 10.1093/neuonc/noac209.624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
PURPOSE
Brain metastases (BM) are the most common intracranial malignancies in adults and mostly originate from lung cancer. Gamma Knife (GK) has become standard of care for BM, however there is insufficient knowledge of the posttreatment volumetric changes of peritumoral edema of BM due to paucity of tools for volumetric segmentation in neuroradiology practice. Recently PACS-integrated tools have become available in select clinical practices facilitating the comparison of posttreatment peritumoral edema volume changes and 2D-based measurements of CE tumor core.
METHODS
Patients with NSCLC BM ≥ 10 mm on T1c+ treated with GK had volumetric measurements for up to 7 follow-ups using a PACS-integrated tool that segments the FLAIR hyperintense region surrounding and including the CE lesion. The 2D and volumetric measurements were compared by creating treatment response curves with incorporation of clinical information including steroid timing.
RESULTS
50 NSCLC BM were included. The median pretreatment peritumoral volume was 8.5 cm3 (IQR 1–47 cm3, n= 36). The volume significantly decreased at 0–90 days (median 1.2 cm3, IQR 0.5–6.1 cm3, n= 31) and between 0-90 and 91-180 days (median 0.8 cm3, IQR 0.3-2.3 cm3, n= 26) post-GK. The time of peak median peritumoral volume increase was at > 365 days (median 1.4 cm3, IQR 0.4–8.1 cm3, n= 19). There was a positive correlation between longest diameter (LD) and peritumoral edema volume (rs= .75, p< .05). At 181–270 days post-GK 50% of BM showed incongruent response course for LD and peritumoral edema volume. The congruence/incongruence ratio of edema/enhancing portion of BM changed over follow-up time.
CONCLUSION
Half of the BM in our study did not show congruent response when comparing posttreatment peritumoral edema volume course to CE lesions in longitudinal assessment. Therefore, there is a critical need for quantitative tools that are incorporated into clinical practice to assess peritumoral edema treatment response.
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Affiliation(s)
| | | | | | - Leon Jekel
- Yale School of Medicine , New Haven , USA
| | | | | | - Veronica Chiang
- Yale School of Medicine, Department of Neurosurgery , New Haven, CT , USA
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22
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Kaur M, Varghese S, Jekel L, Tillmanns N, Merkaj S, Bousabarah K, Lin M, Bhawnani J, Chiang V, Aboian M. NIMG-07. APPLYING A GLIOMA-TRAINED DEEP LEARNING AUTO-SEGMENTATION TOOL ON BM PRE- AND POST-RADIOSURGERY. Neuro Oncol 2022. [PMCID: PMC9660643 DOI: 10.1093/neuonc/noac209.626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
PURPOSE
Stereotactic radiosurgery (SRS) has become the mainstay to treat BM. Follow-up MRI provides important information on lesion treatment response and guides future therapy planning. Volumetric measurements of BM have shown promise over traditional uni- and two-dimensional measurements in more accurate and repeatable assessment. However, routine clinical use has yet to be achieved because the workflow is laborious. In previous work, we developed a PACS-integrated deep learning algorithm for automatic high- and low-grade glioma 3D segmentation. In this work, we applied this U-Net to segment BM on pre- and post-Gamma Knife (GK) MRI and evaluated the performance.
METHODS
10 pre- and post-GK studies were autosegmented in five randomly selected patients (melanoma n= 3, breast n= 2). The glioma trained algorithm segmented the “Whole Tumor” (tumor core+peritumoral edema on T2w-FLAIR) and “Tumor Core” (CE tumor core+necrosis on SPGR). The AI generated segmentation was then revised as needed by a board-certified neuroradiologist and the dice-similarity-coefficient (DSC) between the revised and automatic volumetric segmentations were calculated.
RESULTS
Four patients had multicentric (2-4 BM) lesions. The mean± SD DSC for Whole Tumor and Tumor Core were 0.92±0.06 and 0.46±0.30 for pretreatment, 0.84±0.09 and 0.41±0.25 for posttreatment BM, respectively. The tool detected lesions with a sensitivity of 45% (5/11) for pretreatment and 50% (3/6) for posttreatment lesions. Three pretreatment and all posttreatment lesions that were not detected by the autosegmentation tool showed a very faint hyperintense peritumoral edema in T2w-FLAIR.
CONCLUSION
Volumetric segmentation of edema on FLAIR using the glioma-trained segmentation algorithm on pre- and post-GK BM did not require major adjustment of segmentation if it detects the lesion. On the other hand, with low sensitivity of lesion detection and low DSC for enhancing component, dedicated training of the algorithm on annotated BM data will be needed.
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Affiliation(s)
| | | | - Leon Jekel
- Yale School of Medicine , New Haven , USA
| | | | | | | | - MingDe Lin
- Yale School of Medicine , New Haven , USA
| | | | - Veronica Chiang
- Yale School of Medicine, Department of Neurosurgery , New Haven, CT , USA
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23
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Sperduto PW, De B, Li J, Carpenter D, Kirkpatrick J, Milligan M, Shih HA, Kutuk T, Kotecha R, Higaki H, Otsuka M, Aoyama H, Bourgoin M, Roberge D, Dajani S, Sachdev S, Gainey J, Buatti JM, Breen W, Brown PD, Ni L, Braunstein S, Gallitto M, Wang TJC, Shanley R, Lou E, Shiao J, Gaspar LE, Tanabe S, Nakano T, An Y, Chiang V, Zeng L, Soliman H, Elhalawani H, Cagney D, Thomas E, Boggs DH, Ahluwalia MS, Mehta MP. Graded Prognostic Assessment (GPA) for Patients With Lung Cancer and Brain Metastases: Initial Report of the Small Cell Lung Cancer GPA and Update of the Non-Small Cell Lung Cancer GPA Including the Effect of Programmed Death Ligand 1 and Other Prognostic Factors. Int J Radiat Oncol Biol Phys 2022; 114:60-74. [PMID: 35331827 PMCID: PMC9378572 DOI: 10.1016/j.ijrobp.2022.03.020] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 03/02/2022] [Accepted: 03/14/2022] [Indexed: 11/23/2022]
Abstract
PURPOSE Patients with lung cancer and brain metastases represent a markedly heterogeneous population. Accurate prognosis is essential to optimally individualize care. In prior publications, we described the graded prognostic assessment (GPA), but a GPA for patients with small cell lung cancer (SCLC) has never been reported, and in non-small cell lung cancer (NSCLC), the effect of programmed death ligand 1 (PD-L1) was unknown. The 3-fold purpose of this work is to provide the initial report of an SCLC GPA, to evaluate the effect of PD-L1 on survival in patients with NSCLC, and to update the Lung GPA accordingly. METHODS AND MATERIALS A multivariable analysis of prognostic factors and treatments associated with survival was performed on 4183 patients with lung cancer (3002 adenocarcinoma, 611 nonadenocarcinoma, 570 SCLC) with newly diagnosed brain metastases between January 1, 2015, and December 31, 2020, using a multi-institutional retrospective database. Significant variables were used to update the Lung GPA. RESULTS Overall median survival for lung adenocarcinoma, SCLC, and nonadenocarcinoma was 17, 10, and 8 months, respectively, but varied widely by GPA from 2 to 52 months. In SCLC, the significant prognostic factors were age, performance status, extracranial metastases, and number of brain metastases. In NSCLC, the distribution of molecular markers among patients with lung adenocarcinoma and known primary tumor molecular status revealed alterations/expression in PD-L1 50% to 100%, PD-L1 1% to 49%, epidermal growth factor receptor, and anaplastic lymphoma kinase in 32%, 31%, 30%, and 7%, respectively. Median survival of patients with lung adenocarcinoma and brain metastases with 0, 1% to 49%, and ≥50% PD-L1 expression was 17, 19, and 24 months, respectively (P < .01), confirming PD-L1 is a prognostic factor. Previously identified prognostic factors for NSCLC (epidermal growth factor receptor and anaplastic lymphoma kinase status, performance status, age, number of brain metastases, and extracranial metastases) were reaffirmed. These factors were incorporated into the updated Lung GPA with robust separation between subgroups for all histologies. CONCLUSIONS Survival for patients with lung cancer and brain metastases has improved but varies widely. The initial report of a GPA for SCLC is presented. For patients with NSCLC-adenocarcinoma and brain metastases, PD-L1 is a newly identified significant prognostic factor, and the previously identified factors were reaffirmed. The updated indices establish unique criteria for SCLC, NSCLC-nonadenocarcinoma, and NSCLC-adenocarcinoma (incorporating PD-L1). The updated Lung GPA, available for free at brainmetgpa.com, provides an accurate tool to estimate survival, individualize treatment, and stratify clinical trials.
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Affiliation(s)
| | - Brian De
- MD Anderson Cancer Center, Houston, Texas
| | - Jing Li
- MD Anderson Cancer Center, Houston, Texas
| | | | | | | | - Helen A Shih
- Massachusetts General Hospital, Boston, Massachusetts
| | - Tugce Kutuk
- Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
| | - Rupesh Kotecha
- Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
| | | | | | - Hidefumi Aoyama
- Hokkaido Cancer Center, Hokkaido, Japan; Hokkaido University, Sapporo, Japan
| | - Malie Bourgoin
- Centre Hospitalier de l' Université de Montreal, Montreal, Quebec, Canada
| | - David Roberge
- Centre Hospitalier de l' Université de Montreal, Montreal, Quebec, Canada
| | | | | | | | | | | | | | - Lisa Ni
- University of California, San Francisco, California
| | | | | | | | | | - Emil Lou
- University of Minnesota, Minneapolis, Minnesota
| | - Jay Shiao
- University of Colorado Denver, Denver, Colorado
| | - Laurie E Gaspar
- University of Colorado Denver, Denver, Colorado; Banner MD Anderson Cancer Center, Loveland, Colorado
| | | | | | - Yi An
- Yale University, New Haven, Connecticut
| | | | - Liang Zeng
- Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hany Soliman
- Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Evan Thomas
- University of Alabama at Birmingham, Birmingham, Alabama
| | | | | | - Minesh P Mehta
- Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
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24
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de Groot JF, Kim AH, Prabhu S, Rao G, Laxton AW, Fecci PE, O’Brien BJ, Sloan A, Chiang V, Tatter SB, Mohammadi AM, Placantonakis DG, Strowd RE, Chen C, Hadjipanayis C, Khasraw M, Sun D, Piccioni D, Sinicrope KD, Campian JL, Kurz SC, Williams B, Smith K, Tovar-Spinoza Z, Leuthardt EC. Efficacy of Laser Interstitial Thermal Therapy (LITT) for Newly Diagnosed and Recurrent IDH Wild-type Glioblastoma. Neurooncol Adv 2022; 4:vdac040. [PMID: 35611270 PMCID: PMC9122789 DOI: 10.1093/noajnl/vdac040] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Treatment options for unresectable new and recurrent glioblastoma remain limited. Laser ablation has demonstrated safety as a surgical approach to treat primary brain tumors. The LAANTERN prospective multicenter registry (NCT02392078) data was analyzed to determine clinical outcomes for patients with new and recurrent IDH wild-type glioblastoma.
Methods
Demographics, intraprocedural data, adverse events, KPS, health-economics, and survival data were prospectively collected then analyzed on IDH wild-type newly diagnosed and recurrent glioblastoma patients who were treated with laser ablation at 14 US centers between January 2016 and May 2019. Data was monitored for accuracy. Statistical analysis included individual variable summaries, multivariable differences in survival, and median survival numbers.
Results
A total of 29 new and 60 recurrent IDH wild-type WHO grade 4 glioblastoma patients were treated. Positive MGMT promoter methylation status was present in 5/29 of new and 23/60 of recurrent patients. Median physician-estimated extent of ablation was 91-99%. Median overall-survival was 9.73 months (95% confidence interval: 5.16, 15.91) for newly diagnosed patients and median post-procedure survival was 8.97 (6.94, 12.36) months for recurrent patients. Median overall-survival for newly diagnosed patients receiving post-LITT chemo/radiation was 16.14 months (6.11, not reached). Factors associated with improved survival were MGMT promoter methylation, adjuvant chemotherapy within 12 weeks, and tumor volume <3cc.
Conclusions
Laser ablation is a viable option for patients with new and recurrent glioblastoma. Median overall survival for IDH wild type newly diagnosed glioblastoma is comparable to outcomes observed in other tumor resection studies when those patients undergo radiation and chemotherapy following LITT.
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Affiliation(s)
- John F de Groot
- Department of Neuro-Oncology
- UCSF Weill Institute for Neurosciences, San Francisco, CA
| | - Albert H Kim
- Department of Neurosurgery
- Washington University School of Medicine, St. Louis, MO
| | - Sujit Prabhu
- Department of Neurosurgery
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ganesh Rao
- Department of Neurosurgery
- Baylor College of Medicine, Houston, TX
| | - Adrian W Laxton
- Department of Neurosurgery
- Wake Forest Baptist Health, Winston-Salem, NC
| | - Peter E Fecci
- Department of Neurosurgery
- Duke University Medical Center, Durham, NC
| | - Barbara J O’Brien
- Department of Neuro-Oncology
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Andrew Sloan
- Department of Neurosurgery
- University Hospitals – Cleveland Medical Center & Seidman Cancer Center, Cleveland, OH
| | - Veronica Chiang
- Department of Neurosurgery
- Yale School of Medicine, New Haven, CT
| | - Stephen B Tatter
- Department of Neurosurgery
- Wake Forest Baptist Health, Winston-Salem, NC
| | - Alireza M Mohammadi
- Department of Neurosurgery
- Cleveland Clinic Lerner College of Medicine at CWRU, Cleveland, OH
| | | | - Roy E Strowd
- Department of Neuro-Oncology
- Wake Forest Baptist Health, Winston-Salem, NC
| | - Clark Chen
- Department of Neurosurgery
- University of Minnesota Medical Center, Minneapolis, MN
| | | | - Mustafa Khasraw
- Department of Neuro-Oncology
- Duke University Medical Center, Durham, NC
| | - David Sun
- Department of Neurosurgery
- Norton Neuroscience Institute, Louisville, KY
| | - David Piccioni
- Department of Neuro-Oncology
- University of California San Diego Health, La Jolla, CA
| | - Kaylyn D Sinicrope
- Department of Neuro-Oncology
- Norton Neuroscience Institute, Louisville, KY
| | | | - Sylvia C Kurz
- Department of Neuro-Oncology
- NYU Langone Perlmutter Cancer Center, New York, NY
| | - Brian Williams
- Department of Neurosurgery
- University of Louisville Health, Louisville, KY
| | - Kris Smith
- Department of Neurosurgery
- Barrow Neurological Institute, Phoenix, AZ
| | | | - Eric C Leuthardt
- Department of Neurosurgery
- Washington University School of Medicine, St. Louis, MO
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25
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Cheok S, Arnal-Estape A, Wei W, Nguyen D, Chiang V. 513 Surveilling Cerebrospinal Fluid Protein Biomarkers in Brain Metastasis. Neurosurgery 2022. [DOI: 10.1227/neu.0000000000001880_513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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26
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Cassinelli Petersen G, Bousabarah K, Verma T, von Reppert M, Jekel L, Gordem A, Jang B, Merkaj S, Abi Fadel S, Owens R, Omuro A, Chiang V, Ikuta I, Lin M, Aboian MS. Real-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgery. Neurooncol Adv 2022; 4:vdac116. [PMID: 36043121 PMCID: PMC9412827 DOI: 10.1093/noajnl/vdac116] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Treatment of brain metastases can be tailored to individual lesions with treatments such as stereotactic radiosurgery. Accurate surveillance of lesions is a prerequisite but challenging in patients with multiple lesions and prior imaging studies, in a process that is laborious and time consuming. We aimed to longitudinally track several lesions using a PACS-integrated lesion tracking tool (LTT) to evaluate the efficiency of a PACS-integrated lesion tracking workflow, and characterize the prevalence of heterogenous response (HeR) to treatment after Gamma Knife (GK).
Methods
We selected a group of brain metastases patients treated with GK at our institution. We used a PACS-integrated LTT to track the treatment response of each lesion after first GK intervention to maximally seven diagnostic follow-up scans. We evaluated the efficiency of this tool by comparing the number of clicks necessary to complete this task with and without the tool and examined the prevalence of HeR in treatment.
Results
A cohort of eighty patients was selected and 494 lesions were measured and tracked longitudinally for a mean follow-up time of 374 days after first GK. Use of LTT significantly decreased number of necessary clicks. 81.7% of patients had HeR to treatment at the end of follow-up. The prevalence increased with increasing number of lesions.
Conclusions
Lesions in a single patient often differ in their response to treatment, highlighting the importance of individual lesion size assessments for further treatment planning. PACS-integrated lesion tracking enables efficient lesion surveillance workflow and specific and objective result reports to treating clinicians.
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Affiliation(s)
- Gabriel Cassinelli Petersen
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
- University of Göttingen Medical Faculty , Göttingen , Germany
| | | | - Tej Verma
- New York University , New York City, New York , USA
| | - Marc von Reppert
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Leon Jekel
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Ayyuce Gordem
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Benjamin Jang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Sara Merkaj
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Sandra Abi Fadel
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
| | - Randy Owens
- Visage Imaging Inc. , San Diego, California , USA
| | - Antonio Omuro
- Department of Neurology, Yale School of Medicine , New Haven, Connecticut , USA
| | - Veronica Chiang
- Department of Neurosurgery, Yale School of Medicine , New Haven, Connecticut , USA
| | - Ichiro Ikuta
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
- Yale Program for Innovation in Imaging Informatics, Yale School of Medicine , New Haven, Connecticut , USA (M.S.A., I.I.)
| | - MingDe Lin
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
- Visage Imaging Inc. , San Diego, California , USA
| | - Mariam S Aboian
- Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA
- Yale Program for Innovation in Imaging Informatics, Yale School of Medicine , New Haven, Connecticut , USA
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27
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Cifarelli CP, Vargo JA, Fang W, Liscak R, Guseynova K, Warnick RE, Lee CC, Yang HC, Borghei-Razavi H, Maiti T, Siddiqui ZA, Yuan JC, Grills IS, Mathieu D, Touchette CJ, Cordeiro D, Chiang V, Hess J, Tien CJ, Faramand A, Kano H, Barnett GH, Sheehan JP, Lunsford LD. Role of Gamma Knife Radiosurgery in Small Cell Lung Cancer: A Multi-Institutional Retrospective Study of the International Radiosurgery Research Foundation (IRRF). Neurosurgery 2021. [DOI: 10.1093/neuros/nyz428_s020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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28
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Lu BY, Isitan C, Mahajan A, Chiang V, Huttner A, Mitzner JR, Wesley SF, Goldberg SB. Intracranial Complications From Immune Checkpoint Therapy in a Patient With NSCLC and Multiple Sclerosis: Case Report. JTO Clin Res Rep 2021; 2:100183. [PMID: 34590030 PMCID: PMC8474265 DOI: 10.1016/j.jtocrr.2021.100183] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 04/27/2021] [Accepted: 05/02/2021] [Indexed: 11/18/2022] Open
Abstract
Background Immune checkpoint inhibitors (ICIs) have become an increasingly important tool in cancer treatment, revealing durable responses in several different types of tumors, including NSCLCs. Nevertheless, ICIs carry a risk of immune-mediated toxicities. There is a paucity of data for concurrent use of these agents in patients with autoimmune disorders, such as multiple sclerosis (MS). Case Presentation We report a case of a man with a history of MS and metastatic NSCLC with brain metastases who had cancer progression after receiving chemotherapy, whole-brain radiation therapy, and stereotactic radiosurgery to brain lesions and was treated with the programmed death-ligand 1 inhibitor, atezolizumab. He had dramatic clinical and radiographic benefit but developed a severe MS flare and neurologic decline precluding further treatment. Considerable growth of a previously radiated brain lesion prompted resection, with pathologic findings consistent with radiation necrosis and demyelination without viable tumor cells. Conclusions Although patients with preexisting autoimmune diseases, including MS, might be at an increased risk of developing immune-related adverse events with ICIs, they may also experience anticancer benefit. Intracranial disease can be challenging to accurately diagnose in a patient with MS who previously underwent radiation, as progressing lesions can be tumor growth, MS flare, or radiation necrosis.
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Affiliation(s)
- Benjamin Y. Lu
- Department of Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut
| | - Cigdem Isitan
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
- Department of Neurology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Amit Mahajan
- Department of Radiology, Yale School of Medicine, New Haven, Connecticut
| | - Veronica Chiang
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
| | - Anita Huttner
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | | | - Sarah F. Wesley
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Sarah B. Goldberg
- Department of Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut
- Corresponding author. Address for correspondence: Sarah B. Goldberg, MD, MPH, Department of Medicine (Medical Oncology), Yale School of Medicine, P.O. Box 208028, New Haven, CT 06520.
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29
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Pena-Pino I, Ma J, Hori Y, Fomchenko E, Dusenbery K, Reynolds M, Wilke C, Yuan J, Barnett G, Chiang V, Mohammadi A, Chen C. SURG-02. Stereotactic Laser Ablation (SLA) followed by consolidation stereotactic radiosurgery (SRS) as a treatment strategy for brain metastasis that recurred locally after initial radiosurgery (BMRS): a collaborative institutional experience. Neurooncol Adv 2021. [PMCID: PMC8351296 DOI: 10.1093/noajnl/vdab071.095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Introduction
In independent clinical trials, ~30% of brain metastases recur locally after radiosurgery (BMRS). For these lesions, treatment with stereotactic laser ablation (SLA, also known as laser interstitial thermal therapy (LITT)) alone achieves a 12-month local control (LC12) of 54–85% while repeat SRS achieved LC12 of 54–79%. Here, we report favorable outcomes for BMRS treated with SLA followed by consolidation radiosurgery (SLA/cSRS).
Methods
Clinical outcome of 18 patients with 19 histologically confirmed BMRS treated with SLA followed by consolidation SRS and >3 months follow-up were collected retrospectively across three institutions. Local control was defined as stability or decrease in contrast-enhancing (CE) and FLAIR volume.
Results
SLA achieved ablation of 73–100% of the BMRS CE volumes. Consolidation hypo-fractionated radiosurgery (5 Gy x 5 or 6 Gy x 5) was carried out 16–40 days post-SLA (median of 26 days). With a median follow-up of 185 days (range: 93–1367 days) and median overall survival (OS) of 185 days (range: 99–1367 days), 100% LC12 was achieved. 13/18 (72%) patients that required steroid therapy prior to SLA/cSRS were successfully weaned off steroid by three months post-SLA/cSRS. Post-SLA, KPS declined for 3/19 (16%) patients and improved for 1/19 (5%) patients. No KPS changes occurred subsequent to consolidation SRS. There were no 30-day mortalities or wound complications. Two patients required re-admission within 30 days of SRS (severe headache that resolved with steroid therapy (n=1) and new-onset seizure (n=1)). Except for two patients who suffered histologically confirmed, local failure at 649 and 899 days, all other patients are either alive (n=5) or died from systemic disease progression (n=11). None of the treated patients developed symptomatic radiation necrosis.
Conclusions
This collaborative institutional experience support efficacy and safety of SLA followed by consolidation SRS as a treatment for BMRS. The treatment strategy warrants further investigations.
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Affiliation(s)
| | - Jun Ma
- University of Minnesota, Minneapolis, MN, USA
| | | | | | | | | | | | | | | | | | | | - Clark Chen
- University of Minnesota, Minneapolis, MN, USA
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30
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Li P, Chiang V, Yeung HH, Au EY. Caution against Temporary Tolerance and Negative Skin Testing During Anergic Period Following Systemic Reactions. J Investig Allergol Clin Immunol 2021; 32:157-158. [PMID: 34213418 DOI: 10.18176/jiaci.0724] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- P Li
- Division of Rheumatology & Clinical Immunology, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - V Chiang
- Division of Clinical Immunology, Department of Pathology, Queen Mary Hospital, Hong Kong
| | - H Hf Yeung
- Division of Clinical Immunology, Department of Pathology, Queen Mary Hospital, Hong Kong
| | - E Yl Au
- Division of Clinical Immunology, Department of Pathology, Queen Mary Hospital, Hong Kong
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31
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Chang E, Joel MZ, Chang HY, Du J, Khanna O, Omuro A, Chiang V, Aneja S. Comparison of radiomic feature aggregation methods for patients with multiple tumors. Sci Rep 2021; 11:9758. [PMID: 33963236 PMCID: PMC8105371 DOI: 10.1038/s41598-021-89114-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 04/21/2021] [Indexed: 12/28/2022] Open
Abstract
Radiomic feature analysis has been shown to be effective at analyzing diagnostic images to model cancer outcomes. It has not yet been established how to best combine radiomic features in cancer patients with multifocal tumors. As the number of patients with multifocal metastatic cancer continues to rise, there is a need for improving personalized patient-level prognosis to better inform treatment. We compared six mathematical methods of combining radiomic features of 3,596 tumors in 831 patients with multiple brain metastases and evaluated the performance of these aggregation methods using three survival models: a standard Cox proportional hazards model, a Cox proportional hazards model with LASSO regression, and a random survival forest. Across all three survival models, the weighted average of the largest three metastases had the highest concordance index (95% confidence interval) of 0.627 (0.595–0.661) for the Cox proportional hazards model, 0.628 (0.591–0.666) for the Cox proportional hazards model with LASSO regression, and 0.652 (0.565–0.727) for the random survival forest model. This finding was consistent when evaluating patients with different numbers of brain metastases and different tumor volumes. Radiomic features can be effectively combined to estimate patient-level outcomes in patients with multifocal brain metastases. Future studies are needed to confirm that the volume-weighted average of the largest three tumors is an effective method for combining radiomic features across other imaging modalities and tumor types.
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Affiliation(s)
- Enoch Chang
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, USA
| | - Marina Z Joel
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, USA
| | | | | | - Omaditya Khanna
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, USA
| | | | - Veronica Chiang
- Department of Neurosurgery, Yale School of Medicine, New Haven, USA
| | - Sanjay Aneja
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, USA. .,Yale Brain Tumor Center, New Haven, USA. .,Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, USA.
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Sperduto PW, Mesko S, Li J, Cagney D, Aizer A, Lin NU, Nesbit E, Kruser TJ, Chan J, Braunstein S, Lee J, Kirkpatrick JP, Breen W, Brown PD, Shi D, Shih HA, Soliman H, Sahgal A, Shanley R, Sperduto W, Lou E, Everett A, Boggs DH, Masucci L, Roberge D, Remick J, Plichta K, Buatti JM, Jain S, Gaspar LE, Wu CC, Wang TJC, Bryant J, Chuong M, Yu J, Chiang V, Nakano T, Aoyama H, Mehta MP. Estrogen/progesterone receptor and HER2 discordance between primary tumor and brain metastases in breast cancer and its effect on treatment and survival. Neuro Oncol 2021; 22:1359-1367. [PMID: 32034917 PMCID: PMC7523450 DOI: 10.1093/neuonc/noaa025] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Breast cancer treatment is based on estrogen receptors (ERs), progesterone receptors (PRs), and human epidermal growth factor receptor 2 (HER2). At the time of metastasis, receptor status can be discordant from that at initial diagnosis. The purpose of this study was to determine the incidence of discordance and its effect on survival and subsequent treatment in patients with breast cancer brain metastases (BCBM). METHODS A retrospective database of 316 patients who underwent craniotomy for BCBM between 2006 and 2017 was created. Discordance was considered present if the ER, PR, or HER2 status differed between the primary tumor and the BCBM. RESULTS The overall receptor discordance rate was 132/316 (42%), and the subtype discordance rate was 100/316 (32%). Hormone receptors (HR, either ER or PR) were gained in 40/160 (25%) patients with HR-negative primary tumors. HER2 was gained in 22/173 (13%) patients with HER2-negative primary tumors. Subsequent treatment was not adjusted for most patients who gained receptors-nonetheless, median survival (MS) improved but did not reach statistical significance (HR, 17-28 mo, P = 0.12; HER2, 15-19 mo, P = 0.39). MS for patients who lost receptors was worse (HR, 27-18 mo, P = 0.02; HER2, 30-18 mo, P = 0.08). CONCLUSIONS Receptor discordance between primary tumor and BCBM is common, adversely affects survival if receptors are lost, and represents a missed opportunity for use of effective treatments if receptors are gained. Receptor analysis of BCBM is indicated when clinically appropriate. Treatment should be adjusted accordingly. KEY POINTS 1. Receptor discordance alters subtype in 32% of BCBM patients.2. The frequency of receptor gain for HR and HER2 was 25% and 13%, respectively.3. If receptors are lost, survival suffers. If receptors are gained, consider targeted treatment.
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Affiliation(s)
- Paul W Sperduto
- Minneapolis Radiation Oncology and University of Minnesota Gamma Knife Center, Minneapolis, Minnesota, USA
| | - Shane Mesko
- The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jing Li
- The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Daniel Cagney
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Ayal Aizer
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Nancy U Lin
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Eric Nesbit
- Northwestern University, Chicago, Illinois, USA
| | | | - Jason Chan
- University of California San Francisco, San Francisco, California, USA
| | - Steve Braunstein
- University of California San Francisco, San Francisco, California, USA
| | - Jessica Lee
- Duke University, Durham, North Carolina, USA
| | | | | | | | - Diana Shi
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Helen A Shih
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Hany Soliman
- Sunnybrook Odette Cancer Centre University of Toronto, Toronto, Canada
| | - Arjun Sahgal
- Sunnybrook Odette Cancer Centre University of Toronto, Toronto, Canada
| | - Ryan Shanley
- University of Minnesota, Minneapolis, Minnesota, USA
| | | | - Emil Lou
- University of Minnesota, Minneapolis, Minnesota, USA
| | - Ashlyn Everett
- University of Alabama Birmingham, Birmingham, Alabama, USA
| | | | - Laura Masucci
- Centre Hospitalier de l' Université de Montréal, Montreal, Canada
| | - David Roberge
- Centre Hospitalier de l' Université de Montréal, Montreal, Canada
| | - Jill Remick
- University of Maryland, Baltimore, Maryland, USA
| | | | | | - Supriya Jain
- University of Colorado Denver, Denver, Colorado, USA
| | | | | | | | | | | | - James Yu
- Yale University, New Haven, Connecticut, USA
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33
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Ahluwalia M, Ali MA, Joshi RS, Park ES, Taha B, McCutcheon I, Chiang V, Hong A, Sinclair G, Bartek J, Chen CC. An integrated disease-specific graded prognostic assessment scale for melanoma: contributions of KPS, CITV, number of metastases, and BRAF mutation status. Neurooncol Adv 2021; 3:vdaa152. [PMID: 33506199 PMCID: PMC7810198 DOI: 10.1093/noajnl/vdaa152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Background Stereotactic radiosurgery (SRS) remains a mainstay therapy in the treatment of melanoma brain metastases (BM). While prognostic scales have been developed for melanoma patients who underwent SRS treatment for BM, the pertinence of these scales in the context of molecularly targeted therapies remains unclear. Methods Through a multi-institutional collaboration, we collated the survival patterns of 331 melanoma BM patients with known BRAF mutation status treated with SRS. We established a prognostic scale that was validated in an independent cohort of 174 patients. All patients with BRAF mutations in this series were treated with BRAF inhibitors. Prognostic utility was assessed using Net Reclassification Index (NRI > 0) and integrated discrimination improvement (IDI) metrics. Results In a multivariate Cox proportional hazards model, BRAF mutation status, KPS, number of metastases, and cumulative intracranial tumor volume (CITV) independently contributed to survival prognostication for melanoma patients with SRS-treated BM (P < .05 for all variables). These variables were incorporated into a prognostic scale using the disease-specific graded prognostic assessment (ds-GPA) framework. This integrated melanoma ds-GPA scale was validated in 2 independent cohorts collated through a multi-institutional collaboration. In terms of order of prognostic importance, BRAF mutation status exerted the greatest influence on survival, while KPS, the number of metastases, and CITV exhibited comparable, lesser impacts. Conclusions Optimal survival prognostication for SRS-treated patients with melanoma BM requires an integrated assessment of patient characteristics (KPS), tumor characteristics (CITV and number of metastases), and the mutational profile of the melanoma (BRAF mutation status).
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Affiliation(s)
- Manmeet Ahluwalia
- Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio, USA
| | - Mir A Ali
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Rushikesh S Joshi
- School of Medicine, University of California San Diego, San Diego, California, USA
| | - Eun Suk Park
- Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Birra Taha
- Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Ian McCutcheon
- Department of Neurosurgery, MD Anderson Cancer Center, Houston, Texas, USA
| | - Veronica Chiang
- Department of Neurosurgery, Yale University School of Medicine, and Yale Cancer Center, New Haven, Connecticut, USA
| | - Angela Hong
- Melanoma Institute Australia, Wollstonecraft, NSW, Australia
| | - Georges Sinclair
- Department of Oncology, James Cook University Hospital, Middlesbrough, UK.,Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | - Jiri Bartek
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | - Clark C Chen
- Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota, USA
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34
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Cifarelli CP, Vargo JA, Fang W, Liscak R, Guseynova K, Warnick RE, Lee CC, Yang HC, Borghei-Razavi H, Maiti T, Siddiqui ZA, Yuan JC, Grills IS, Mathieu D, Touchette CJ, Cordeiro D, Chiang V, Hess J, Tien CJ, Faramand A, Kano H, Barnett GH, Sheehan JP, Lunsford LD. Role of Gamma Knife Radiosurgery in Small Cell Lung Cancer: A Multi-Institutional Retrospective Study of the International Radiosurgery Research Foundation (IRRF). Neurosurgery 2021; 87:664-671. [PMID: 31599324 DOI: 10.1093/neuros/nyz428] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 08/04/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Despite a high incidence of brain metastases in patients with small-cell lung cancer (SCLC), limited data exist on the use of stereotactic radiosurgery (SRS), specifically Gamma Knife™ radiosurgery (Elekta AB), for SCLC brain metastases. OBJECTIVE To provide a detailed analysis of SCLC patients treated with SRS, focusing on local failure, distant brain failure, and overall survival (OS). METHODS A multi-institutional retrospective review was performed on 293 patients undergoing SRS for SCLC brain metastases at 10 medical centers from 1991 to 2017. Data collection was performed according to individual institutional review boards, and analyses were performed using binary logistic regression, Cox-proportional hazard models, Kaplan-Meier survival analysis, and competing risks analysis. RESULTS Two hundred thirty-two (79%) patients received SRS as salvage following prior whole-brain irradiation (WBRT) or prophylactic cranial irradiation, with a median marginal dose of 18 Gy. At median follow-up after SRS of 6.4 and 18.0 mo for surviving patients, the 1-yr local failure, distant brain failure, and OS were 31%, 49%, and 28%. The interval between WBRT and SRS was predictive of improved OS for patients receiving SRS more than 1 yr after initial treatment (21%, <1 yr vs 36%, >1 yr, P = .01). On multivariate analysis, older age was the only significant predictor for OS (hazard ratio 1.63, 95% CI 1.16-2.29, P = .005). CONCLUSION SRS plays an important role in the management of brain metastases from SCLC, especially in salvage therapy following WBRT. Ongoing prospective trials will better assess the value of radiosurgery in the primary management of SCLC brain metastases and potentially challenge the standard application of WBRT in SCLC patients.
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Affiliation(s)
- Christopher P Cifarelli
- Department of Neurosurgery, School of Medicine, West Virginia University, Morgantown, West Virginia.,Department of Radiation Oncology, School of Medicine, West Virginia University, Morgantown, West Virginia
| | - John A Vargo
- Department of Neurosurgery, School of Medicine, West Virginia University, Morgantown, West Virginia.,Department of Radiation Oncology, School of Medicine, West Virginia University, Morgantown, West Virginia
| | - Wei Fang
- West Virginia Clinical and Translational Science Institute, School of Medicine, West Virginia University, Morgantown, West Virginia
| | - Roman Liscak
- Department of Stereotactic and Radiation Neurosurgery, Na Homolce Hospital, Prague, Czech Republic
| | - Khumar Guseynova
- Department of Stereotactic and Radiation Neurosurgery, Na Homolce Hospital, Prague, Czech Republic
| | | | - Cheng-Chia Lee
- Department of Neurosurgery, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Huai-Che Yang
- Department of Neurosurgery, Taipei Veterans General Hospital, Taipei, Taiwan
| | | | - Tonmoy Maiti
- Department of Neurosurgery, Cleveland Clinic, Cleveland, Ohio
| | - Zaid A Siddiqui
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan
| | - Justin C Yuan
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan
| | - Inga S Grills
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan
| | - David Mathieu
- Division of Neurosurgery, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Centre de Recherche du CHUS, Sherbrooke, Canada
| | - Charles J Touchette
- Division of Neurosurgery, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Centre de Recherche du CHUS, Sherbrooke, Canada
| | - Diogo Cordeiro
- Department of Neurosurgery, School of Medicine, University of Virginia, Charlottesville, Virginia
| | - Veronica Chiang
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, Connecticut.,Department of Radiation Oncology, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Judith Hess
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, Connecticut.,Department of Radiation Oncology, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Christopher J Tien
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, Connecticut.,Department of Radiation Oncology, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Andrew Faramand
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Hideyuki Kano
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Gene H Barnett
- Department of Neurosurgery, Cleveland Clinic, Cleveland, Ohio
| | - Jason P Sheehan
- Department of Neurosurgery, School of Medicine, University of Virginia, Charlottesville, Virginia
| | - L Dade Lunsford
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
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35
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Kim AH, Tatter S, Rao G, Prabhu S, Chen C, Fecci P, Chiang V, Smith K, Williams BJ, Mohammadi AM, Judy K, Sloan A, Tovar-Spinoza Z, Baumgartner J, Hadjipanayis C, Leuthardt EC. Laser Ablation of Abnormal Neurological Tissue Using Robotic NeuroBlate System (LAANTERN): 12-Month Outcomes and Quality of Life After Brain Tumor Ablation. Neurosurgery 2021; 87:E338-E346. [PMID: 32315434 PMCID: PMC7534487 DOI: 10.1093/neuros/nyaa071] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 01/28/2020] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Laser Ablation of Abnormal Neurological Tissue using Robotic NeuroBlate System
(LAANTERN) is an ongoing multicenter prospective NeuroBlate (Monteris Medical) LITT
(laser interstitial thermal therapy) registry collecting real-world outcomes and
quality-of-life (QoL) data. OBJECTIVE To compare 12-mo outcomes from all subjects undergoing LITT for intracranial
tumors/neoplasms. METHODS Demographics, intraprocedural data, adverse events, QoL, hospitalizations, health
economics, and survival data are collected; standard data management and monitoring
occur. RESULTS A total of 14 centers enrolled 223 subjects; the median follow-up was 223 d. There were
119 (53.4%) females and 104 (46.6%) males. The median age was 54.3 yr (range 3-86) and
72.6% had at least 1 baseline comorbidity. The median baseline Karnofsky Performance
Score (KPS) was 90. Of the ablated tumors, 131 were primary and 92 were metastatic. Most
patients with primary tumors had high-grade gliomas (80.9%). Patients with metastatic
cancer had recurrence (50.6%) or radiation necrosis (40%). The median postprocedure
hospital stay was 33.4 h (12.7-733.4). The 1-yr estimated survival rate was 73%, and
this was not impacted by disease etiology. Patient-reported QoL as assessed by the
Functional Assessment of Cancer Therapy-Brain was stabilized postprocedure. KPS declined
by an average of 5.7 to 10.5 points postprocedure; however, 50.5% had
stabilized/improved KPS at 6 mo. There were no significant differences in KPS or QoL
between patients with metastatic vs primary tumors. CONCLUSION Results from the ongoing LAANTERN registry demonstrate that LITT stabilizes and
improves QoL from baseline levels in a malignant brain tumor patient population with
high rates of comorbidities. Overall survival was better than anticipated for a
real-world registry and comparative to published literature.
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Affiliation(s)
- Albert H Kim
- Department of Neurosurgery, Washington University, St. Louis, Missouri
| | - Steven Tatter
- Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Ganesh Rao
- Department of Neurosurgery, University of Texas MDA Cancer Center, Houston, Texas
| | - Sujit Prabhu
- Department of Neurosurgery, University of Texas MDA Cancer Center, Houston, Texas
| | - Clark Chen
- Department of Neurosurgery, University of California San Diego, San Diego, California.,Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota
| | - Peter Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Veronica Chiang
- Department of Neurosurgery, Yale University, New Haven, Connecticut
| | - Kris Smith
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona
| | - Brian J Williams
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky
| | | | - Kevin Judy
- Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Andrew Sloan
- Department of Neurological Surgery, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | | | | | | | - Eric C Leuthardt
- Department of Neurosurgery, Washington University, St. Louis, Missouri
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36
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Rusthoven CG, Yamamoto M, Bernhardt D, Smith DE, Gao D, Serizawa T, Yomo S, Aiyama H, Higuchi Y, Shuto T, Akabane A, Sato Y, Niranjan A, Faramand AM, Lunsford LD, McInerney J, Tuanquin LC, Zacharia BE, Chiang V, Singh C, Yu JB, Braunstein S, Mathieu D, Touchette CJ, Lee CC, Yang HC, Aizer AA, Cagney DN, Chan MD, Kondziolka D, Bernstein K, Silverman JS, Grills IS, Siddiqui ZA, Yuan JC, Sheehan JP, Cordeiro D, Nosaki K, Seto T, Deibert CP, Verma V, Day S, Halasz LM, Warnick RE, Trifiletti DM, Palmer JD, Attia A, Li B, Cifarelli CP, Brown PD, Vargo JA, Combs SE, Kessel KA, Rieken S, Patel S, Guckenberger M, Andratschke N, Kavanagh BD, Robin TP. Evaluation of First-line Radiosurgery vs Whole-Brain Radiotherapy for Small Cell Lung Cancer Brain Metastases: The FIRE-SCLC Cohort Study. JAMA Oncol 2021; 6:1028-1037. [PMID: 32496550 DOI: 10.1001/jamaoncol.2020.1271] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Importance Although stereotactic radiosurgery (SRS) is preferred for limited brain metastases from most histologies, whole-brain radiotherapy (WBRT) has remained the standard of care for patients with small cell lung cancer. Data on SRS are limited. Objective To characterize and compare first-line SRS outcomes (without prior WBRT or prophylactic cranial irradiation) with those of first-line WBRT. Design, Setting, and Participants FIRE-SCLC (First-line Radiosurgery for Small-Cell Lung Cancer) was a multicenter cohort study that analyzed SRS outcomes from 28 centers and a single-arm trial and compared these data with outcomes from a first-line WBRT cohort. Data were collected from October 26, 2017, to August 15, 2019, and analyzed from August 16, 2019, to November 6, 2019. Interventions SRS and WBRT for small cell lung cancer brain metastases. Main Outcomes and Measures Overall survival, time to central nervous system progression (TTCP), and central nervous system (CNS) progression-free survival (PFS) after SRS were evaluated and compared with WBRT outcomes, with adjustment for performance status, number of brain metastases, synchronicity, age, sex, and treatment year in multivariable and propensity score-matched analyses. Results In total, 710 patients (median [interquartile range] age, 68.5 [62-74] years; 531 men [74.8%]) who received SRS between 1994 and 2018 were analyzed. The median overall survival was 8.5 months, the median TTCP was 8.1 months, and the median CNS PFS was 5.0 months. When stratified by the number of brain metastases treated, the median overall survival was 11.0 months (95% CI, 8.9-13.4) for 1 lesion, 8.7 months (95% CI, 7.7-10.4) for 2 to 4 lesions, 8.0 months (95% CI, 6.4-9.6) for 5 to 10 lesions, and 5.5 months (95% CI, 4.3-7.6) for 11 or more lesions. Competing risk estimates were 7.0% (95% CI, 4.9%-9.2%) for local failures at 12 months and 41.6% (95% CI, 37.6%-45.7%) for distant CNS failures at 12 months. Leptomeningeal progression (46 of 425 patients [10.8%] with available data) and neurological mortality (80 of 647 patients [12.4%] with available data) were uncommon. On propensity score-matched analyses comparing SRS with WBRT, WBRT was associated with improved TTCP (hazard ratio, 0.38; 95% CI, 0.26-0.55; P < .001), without an improvement in overall survival (median, 6.5 months [95% CI, 5.5-8.0] for SRS vs 5.2 months [95% CI, 4.4-6.7] for WBRT; P = .003) or CNS PFS (median, 4.0 months for SRS vs 3.8 months for WBRT; P = .79). Multivariable analyses comparing SRS and WBRT, including subset analyses controlling for extracranial metastases and extracranial disease control status, demonstrated similar results. Conclusions and Relevance Results of this study suggest that the primary trade-offs associated with SRS without WBRT, including a shorter TTCP without a decrease in overall survival, are similar to those observed in settings in which SRS is already established.
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Affiliation(s)
- Chad G Rusthoven
- University of Colorado School of Medicine, Department of Radiation Oncology, Aurora
| | | | - Denise Bernhardt
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Derek E Smith
- University of Colorado Cancer Center, Biostatistics Core, Aurora
| | - Dexiang Gao
- University of Colorado Cancer Center, Biostatistics Core, Aurora
| | - Toru Serizawa
- Tokyo Gamma Unit Center, Tsukiji Neurological Clinic, Tokyo, Japan
| | - Shoji Yomo
- Aizawa Comprehensive Cancer Center, Division of Radiation Oncology, Aizawa Hospital, Matsumoto, Japan
| | | | - Yoshinori Higuchi
- Chiba University Graduate School of Medicine, Department of Neurological Surgery, Chiba, Japan
| | - Takashi Shuto
- Yokohama Rosai Hospital, Department of Neurosurgery, Yokohama, Japan
| | - Atsuya Akabane
- Gamma Knife Center, NTT Medical Center Tokyo, Tokyo, Japan
| | - Yasunori Sato
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Ajay Niranjan
- Department of Neurological Surgery and Radiation Oncology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Andrew M Faramand
- Department of Neurological Surgery and Radiation Oncology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - L Dade Lunsford
- Department of Neurological Surgery and Radiation Oncology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - James McInerney
- Department of Neurosurgery, Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania
| | - Leonard C Tuanquin
- Department of Neurosurgery, Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania
| | - Brad E Zacharia
- Department of Neurosurgery, Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania
| | - Veronica Chiang
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
| | - Charu Singh
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
| | - James B Yu
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
| | - Steve Braunstein
- Department of Radiation Oncology, University of California, San Francisco, San Francisco
| | - David Mathieu
- Division of Neurosurgery, Université de Sherbrooke, Centre de Recherche du CHUS, Sherbrooke, Quebec, Canada
| | - Charles J Touchette
- Division of Neurosurgery, Université de Sherbrooke, Centre de Recherche du CHUS, Sherbrooke, Quebec, Canada
| | - Cheng-Chia Lee
- Taipei Veterans General Hospital, Department of Neurosurgery, Neurological Institute, Taipei, Taiwan
| | - Huai-Che Yang
- Taipei Veterans General Hospital, Department of Neurosurgery, Neurological Institute, Taipei, Taiwan
| | - Ayal A Aizer
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Daniel N Cagney
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Michael D Chan
- Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Douglas Kondziolka
- Department of Neurosurgery, New York University Langone Medical Center, New York
| | - Kenneth Bernstein
- Department of Neurosurgery, New York University Langone Medical Center, New York
| | - Joshua S Silverman
- Department of Neurosurgery, New York University Langone Medical Center, New York
| | - Inga S Grills
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan
| | - Zaid A Siddiqui
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan
| | - Justin C Yuan
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan
| | - Jason P Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville
| | - Diogo Cordeiro
- Department of Neurological Surgery, University of Virginia, Charlottesville
| | - Kename Nosaki
- National Hospital Organization Kyushu Cancer Center, Department of Thoracic Oncology, Fukuoka, Japan
| | - Takahashi Seto
- National Hospital Organization Kyushu Cancer Center, Department of Thoracic Oncology, Fukuoka, Japan
| | | | - Vivek Verma
- Department of Radiation Oncology, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - Samuel Day
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle
| | - Lia M Halasz
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle
| | - Ronald E Warnick
- Department of Neurosurgery, Jewish Hospital-Mercy Health, Cincinnati, Ohio
| | - Daniel M Trifiletti
- Department of Radiation Oncology, Mayo Clinic Jacksonville, Jacksonville, Florida
| | - Joshua D Palmer
- Department of Radiation Oncology, Ohio State University, Columbus
| | - Albert Attia
- Department of Radiation Oncology, Vanderbilt University, Nashville, Tennessee
| | - Benjamin Li
- Department of Radiation Oncology, Vanderbilt University, Nashville, Tennessee
| | | | - Paul D Brown
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota
| | - John A Vargo
- Department of Neurological Surgery and Radiation Oncology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.,Department of Neurosurgery, West Virginia University, Morgantown
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University of Munich, Munich, Germany
| | - Kerstin A Kessel
- Department of Radiation Oncology, Technical University of Munich, Munich, Germany
| | - Stefan Rieken
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Samir Patel
- Department of Radiation Oncology, University of Alberta, Edmonton, Alberta, Canada
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, The University of Zurich, Zurich, Switzerland
| | - Nicolaus Andratschke
- Department of Radiation Oncology, University Hospital Zurich, The University of Zurich, Zurich, Switzerland
| | - Brian D Kavanagh
- University of Colorado School of Medicine, Department of Radiation Oncology, Aurora
| | - Tyler P Robin
- University of Colorado School of Medicine, Department of Radiation Oncology, Aurora
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Cheok SK, Narayan A, Arnal-Estape A, Gettinger S, Goldberg SB, Kluger HM, Nguyen D, Patel A, Chiang V. Tumor DNA Mutations From Intraparenchymal Brain Metastases Are Detectable in CSF. JCO Precis Oncol 2021; 5:PO.20.00292. [PMID: 34250381 DOI: 10.1200/po.20.00292] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 09/29/2020] [Accepted: 12/07/2020] [Indexed: 11/20/2022] Open
Abstract
Discordant responses between brain metastases and extracranial tumors can arise from branched tumor evolution, underscoring the importance of profiling mutations to optimize therapy. However, the morbidity of brain biopsies limits their use. We investigated whether cell-free DNA (cfDNA) in CSF could serve as an effective surrogate marker for genomic profiling of intraparenchymal (IP) brain metastases. METHODS CSF and blood were collected simultaneously from patients with progressive brain metastases undergoing a craniotomy or lumbar puncture. Mutations in both biofluids were measured using an error-suppressed deep sequencing method previously published by our group. Forty-three regions of 24 cancer-associated genes were assayed. RESULTS This study enrolled 14 patients with either IP brain metastases (n = 12) or cytology-positive leptomeningeal disease (LMD, n = 2) and two controls with normal pressure hydrocephalus. Primary cancer types were lung, melanoma, renal cell, and colorectal. cfDNA was measurable in all sixteen samples of CSF. Cancer-associated mutations were found in the CSF of ten patients (eight with IP [67%] and two with LMD [100%]) and plasma of five patients (five with IP [42%] and none with LMD). All patients with plasma cfDNA had extracranial tumors. Among the five patients in the cohort who also had mutation data from time-matched brain metastasis tissue, four patients (80%) had matching mutations detected in CSF and brain, whereas only one patient (20%) had matching mutations detected in plasma and brain. CONCLUSION The detection of mutational DNA in CSF is not restricted to LMD and was found in two thirds of patients with IP brain metastases in our cohort. Analysis of CSF can be a viable alternative to biopsy for detection of somatic mutations in brain metastases.
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Affiliation(s)
| | - Azeet Narayan
- Department of Therapeutic Radiology, Yale University, New Haven, CT
| | - Anna Arnal-Estape
- Department of Pathology, Yale University, New Haven, CT.,Yale Cancer Center, New Haven, CT
| | - Scott Gettinger
- Yale Cancer Center, New Haven, CT.,Department of Medicine (Medical Oncology), Yale University, New Haven, CT
| | - Sarah B Goldberg
- Yale Cancer Center, New Haven, CT.,Department of Medicine (Medical Oncology), Yale University, New Haven, CT
| | - Harriet M Kluger
- Yale Cancer Center, New Haven, CT.,Department of Medicine (Medical Oncology), Yale University, New Haven, CT
| | - Don Nguyen
- Department of Pathology, Yale University, New Haven, CT.,Yale Cancer Center, New Haven, CT.,Department of Medicine (Medical Oncology), Yale University, New Haven, CT
| | - Abhijit Patel
- Department of Therapeutic Radiology, Yale University, New Haven, CT.,Yale Cancer Center, New Haven, CT
| | - Veronica Chiang
- Department of Neurosurgery, Yale University, New Haven, CT.,Yale Cancer Center, New Haven, CT
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Peters GW, Tien CJ, Chiang V, Yu J, Hansen JE, Aneja S. Impact of tissue heterogeneity correction on Gamma Knife stereotactic radiosurgery of acoustic neuromas. J Radiosurg SBRT 2021; 7:207-212. [PMID: 33898084 PMCID: PMC8055239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 12/07/2020] [Indexed: 06/12/2023]
Abstract
PURPOSE/OBJECTIVES Treatment planning systems (TPS) for Gamma Knife stereotactic radiosurgery (GK-SRS) include TMR10 algorithms, which assumes tissue homogeneity equivalent to water, and collapsed-cone convolutional (CCC) algorithms, which accounts for tissue inhomogeneity. This study investigated dosimetric differences between TMR10 and CCC TPS for acoustic neuromas (ANs) treated with GK-SRS. MATERIALS/METHODS A retrospective review of 56 AN treated with GK-SRS was performed. All patients underwent MRI and CT imaging during their initial treatment and were planned using TMR10. Each plan was recalculated with CCC using electron density extracted from CT. Parameters of interest included Dmax, Dmin, D50%, cochlea Dmax, mean cochlea dose, target size, and laterality (>20 mm from central axis). RESULTS Median target volume of patients was 1.5 cc (0.3 cc-2.8 cc) with median dose of 12 Gy prescribed to the 50% isodose line. Compared to CCC algorithms, the TMR10 calculated dose was higher: Dmax was higher by an average 6.2% (p < 0.001), Dmin was higher by an average 3.1% (p < 0.032), D50% was higher by an average of 11.3%. For lateralized targets, calculated Dmax and D50% were higher by 7.1% (p < 0.001) and 10.6% (p < 0.001), respectively. For targets <1 cc, Dmax and D50% were higher by 8.9% (p ≤ 0.009) and 12.1% (p ≤ 0.001), respectively. Cochlea Dmax was higher, by an average of 20.1% (p < 0.001). CONCLUSION There was a statistically significant dosimetric differences observed between TMR10 and CCC algorithms for AN GK-SRS, particularly in small and lateralized ANs. It may be important to note these differences when relating GK-SRS with standard heterogeneity-corrected SRS regimens.
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Affiliation(s)
- Gabrielle W Peters
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
| | - Christopher J Tien
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
| | - Veronica Chiang
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
| | - James Yu
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
| | - James E. Hansen
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
| | - Sanjay Aneja
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
- Center for Outcomes Research and Evaluation (CORE), New Haven, CT, USA
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Mohammed N, Hung YC, Chen CJ, Xu Z, Schlesinger D, Kano H, Chiang V, Hess J, Lee J, Mathieu D, Kaufmann AM, Grills IS, Cifarelli CP, Vargo JA, Chytka T, Janouskova L, Feliciano CE, Mercado RR, Lunsford LD, Sheehan JP. A Proposed Grading Scale for Predicting Outcomes After Stereotactic Radiosurgery for Dural Arteriovenous Fistulas. Neurosurgery 2020; 87:247-255. [PMID: 31584074 DOI: 10.1093/neuros/nyz401] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 07/18/2019] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND There are presently no grading scales that specifically address the outcomes of cranial dural arteriovenous fistula (dAVF) after stereotactic radiosurgery (SRS). OBJECTIVE To design a practical grading system that would predict outcomes after SRS for cranial dAVFs. METHODS From the International Radiosurgery Research Foundation (University of Pittsburgh [41 patients], University of Pennsylvania [6 patients], University of Sherbrooke [2 patients], University of Manitoba [1 patient], West Virginia University [2 patients], University of Puerto Rico [1 patient], Beaumont Health System 1 [patient], Na Homolce Hospital [13 patients], the University of Virginia [48 patients], and Yale University [6 patients]) centers, 120 patients with dAVF treated with SRS were included in the study. The factors predicting favorable outcome (obliteration without post-SRS hemorrhage) after SRS were assessed using logistic regression analysis. These factors were pooled with the factors that were found to be predictive of obliteration from 7 studies with 736 patients after a systematic review of literature. These were entered into stepwise multiple regression and the best-fit model was identified. RESULTS Based on the predictive model, 3 factors emerged to develop an SRS scoring system: cortical venous reflux (CVR), prior intracerebral hemorrhage (ICH), and noncavernous sinus location. Class I (score of 0-1 points) predicted the best favorable outcome of 80%. Class II patients (2 points score) had an intermediate favorable outcome of 57%, and class III (score 3 points) had the least favorable outcome at 37%. The ROC analysis showed better predictability to prevailing grading systems (AUC = 0.69; P = .04). Kaplan-Meier analysis showed statistically significant difference between the 3 subclasses of the proposed grading system for post-SRS dAVF obliteration (P = .001). CONCLUSION The proposed dAVF grading system incorporates angiographic, anatomic, and clinical parameters and improves the prediction of the outcomes following SRS for dAVF as compared to the existing scoring systems.
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Affiliation(s)
- Nasser Mohammed
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | - Yi-Chieh Hung
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | - Ching-Jen Chen
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | - Zhiyuan Xu
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | - David Schlesinger
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | - Hideyuki Kano
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Judith Hess
- School of Medicine, Yale University, New Haven, Connecticut
| | - John Lee
- Department of Neurological Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David Mathieu
- Department of Neurological Surgery, Université de Sherbrooke, Centre de recherche du CHUS, Sherbrooke, Canada
| | - Anthony M Kaufmann
- Department of Neurological Surgery, University of Manitoba, Winnipeg, Canada
| | - Inga S Grills
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan
| | | | - John A Vargo
- Department of Neurological Surgery, West Virginia University, Morgantown, West Virginia
| | - Tomas Chytka
- Department of Neurological Surgery, Na Homolce Hospital, Prague, Czech Republic
| | | | - Caleb E Feliciano
- Department of Neurological Surgery, University of Puerto Rico, San Juan, Puerto Rico
| | | | - L Dade Lunsford
- Department of Neurological Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jason P Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
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Hong CS, Chiang V. Delayed MRI Response to LITT in Patients Undergoing Immunotherapy. Neurosurgery 2020. [DOI: 10.1093/neuros/nyaa447_867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Sperduto PW, Mesko S, Li J, Cagney D, Aizer A, Lin NU, Nesbit E, Kruser TJ, Chan J, Braunstein S, Lee J, Kirkpatrick JP, Breen W, Brown PD, Shi D, Shih HA, Soliman H, Sahgal A, Shanley R, Sperduto WA, Lou E, Everett A, Boggs DH, Masucci L, Roberge D, Remick J, Plichta K, Buatti JM, Jain S, Gaspar LE, Wu CC, Wang TJ, Bryant J, Chuong M, An Y, Chiang V, Nakano T, Aoyama H, Mehta MP. Survival in Patients With Brain Metastases: Summary Report on the Updated Diagnosis-Specific Graded Prognostic Assessment and Definition of the Eligibility Quotient. J Clin Oncol 2020; 38:3773-3784. [PMID: 32931399 PMCID: PMC7655019 DOI: 10.1200/jco.20.01255] [Citation(s) in RCA: 191] [Impact Index Per Article: 47.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2020] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Conventional wisdom has rendered patients with brain metastases ineligible for clinical trials for fear that poor survival could mask the benefit of otherwise promising treatments. Our group previously published the diagnosis-specific Graded Prognostic Assessment (GPA). Updates with larger contemporary cohorts using molecular markers and newly identified prognostic factors have been published. The purposes of this work are to present all the updated indices in a single report to guide treatment choice, stratify research, and define an eligibility quotient to expand eligibility. METHODS A multi-institutional database of 6,984 patients with newly diagnosed brain metastases underwent multivariable analyses of prognostic factors and treatments associated with survival for each primary site. Significant factors were used to define the updated GPA. GPAs of 4.0 and 0.0 correlate with the best and worst prognoses, respectively. RESULTS Significant prognostic factors varied by diagnosis and new prognostic factors were identified. Those factors were incorporated into the updated GPA with robust separation (P < .01) between subgroups. Survival has improved, but varies widely by GPA for patients with non-small-cell lung, breast, melanoma, GI, and renal cancer with brain metastases from 7-47 months, 3-36 months, 5-34 months, 3-17 months, and 4-35 months, respectively. CONCLUSION Median survival varies widely and our ability to estimate survival for patients with brain metastases has improved. The updated GPA (available free at brainmetgpa.com) provides an accurate tool with which to estimate survival, individualize treatment, and stratify clinical trials. Instead of excluding patients with brain metastases, enrollment should be encouraged and those trials should be stratified by the GPA to ensure those trials make appropriate comparisons. Furthermore, we recommend the expansion of eligibility to allow for the enrollment of patients with previously treated brain metastases who have a 50% or greater probability of an additional year of survival (eligibility quotient > 0.50).
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Affiliation(s)
- Paul W. Sperduto
- Minneapolis Radiation Oncology and University of Minnesota Gamma Knife Center, Minneapolis, MN
| | | | - Jing Li
- MD Anderson Cancer Center, Houston, TX
| | | | - Ayal Aizer
- Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | - Jason Chan
- University of California, San Francisco, San Francisco, CA
| | | | | | | | | | | | - Diana Shi
- Massachusetts General Hospital, Boston, MA
| | | | - Hany Soliman
- Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Emil Lou
- University of Minnesota, Minneapolis, MN
| | | | | | - Laura Masucci
- Centre Hospitalier de l'Université de Montreal, Montreal, Quebec, Canada
| | - David Roberge
- Centre Hospitalier de l'Université de Montreal, Montreal, Quebec, Canada
| | | | | | | | | | | | | | | | | | | | - Yi An
- Yale University, New Haven, CT
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Chang E, Joel M, Chang H, Du J, Yu J, An Y, Hansen J, Omuro A, Chiang V, Aneja S. NIMG-03. DEEP LEARNING SURVIVAL ANALYSIS FOR MULTIPLE BRAIN METASTASES. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
PURPOSE
Deep learning survival models show promise for outcome prediction by leveraging the ability to model non-linear relationships between pixel-level imaging predictors and survival data. We hypothesized that a deep learning survival model derived from quantitative imaging predictors would be more effective than traditional models of survival in patients with brain metastases.
METHODS
We analyzed 831 patients with 3596 total brain metastases treated with primary stereotactic radiosurgery at our institution between 2000-2018. The primary outcome of interest was overall survival following treatment. 851 3D radiomic features were extracted from T1 post contrast MRI images of each brain metastasis and aggregated per patient. Minimum redundancy maximum relevance was used for dimensionality reduction. Relevant features were trained on DeepSurv (Cox proportional hazard neural network architecture) to model overall survival. The disease-specific Graded Prognostic Assessment which uses age, Karnofsky performance status, presence of extracranial metastases, number of brain metastases, and disease-specific molecular characteristics was used as our traditional model. Discriminatory ability between models was assessed with concordance indices (c-index) using 100 bootstrapped samples of 415 patients and evaluated for statistical significance in difference with the 2-sample t-test.
RESULTS
Median overall survival was 13 months, median age was 63 years, and the most common primary sites were NSCLC (38.5%), melanoma (18.9%), breast (14.9%), SCLC (7.2%), renal (5.3%), and GI (4.7%). The deep learning model using radiomic imaging features (c-index: 0.848, 95% CI [0.811, 0.877]) had superior discriminatory ability compared to the GPA (c-index: 0.380, 95% CI [0.356, 0.403]). Performance was significantly improved with p< 0.001 on the 2-sample t-test.
CONCLUSIONS
A deep learning model using quantitative radiomic imaging features performed better than a traditional linear model using clinical predictors at modeling survival in patients with multiple brain metastases. This represents a promising method to improve prognostication for patients diagnosed with brain metastases.
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Affiliation(s)
- Enoch Chang
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
| | | | - Hannah Chang
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - James Yu
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
| | - Yi An
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
| | - James Hansen
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
| | | | - Veronica Chiang
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
| | - Sanjay Aneja
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
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Chang E, Joel M, Chang HY, Du J, Khanna O, Omuro A, Chiang V, Aneja S. Comparison of Radiomic Feature Aggregation Methods for Patients with Multiple Tumors. medRxiv 2020:2020.11.04.20226159. [PMID: 33173902 PMCID: PMC7654896 DOI: 10.1101/2020.11.04.20226159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Background Radiomic feature analysis has been shown to be effective at modeling cancer outcomes. It has not yet been established how to best combine these radiomic features in patients with multifocal disease. As the number of patients with multifocal metastatic cancer continues to rise, there is a need for improving personalized patient-level prognostication to better inform treatment. Methods We compared six mathematical methods of combining radiomic features of 3596 tumors in 831 patients with multiple brain metastases and evaluated the performance of these aggregation methods using three survival models: a standard Cox proportional hazards model, a Cox proportional hazards model with LASSO regression, and a random survival forest. Results Across all three survival models, the weighted average of the largest three metastases had the highest concordance index (95% confidence interval) of 0.627 (0.595-0.661) for the Cox proportional hazards model, 0.628 (0.591-0.666) for the Cox proportional hazards model with LASSO regression, and 0.652 (0.565-0.727) for the random survival forest model. Conclusions Radiomic features can be effectively combined to establish patient-level outcomes in patients with multifocal brain metastases. Future studies are needed to confirm that the volume-weighted average of the largest three tumors is an effective method for combining radiomic features across other imaging modalities and disease sites.
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Affiliation(s)
- Enoch Chang
- Department of Therapeutic Radiology, Yale School of Medicine
| | | | | | | | | | | | | | - Sanjay Aneja
- Department of Therapeutic Radiology, Yale School of Medicine
- Center for Outcomes Research and Evaluation, Yale School of Medicine
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Landazuri P, Shih J, Leuthardt E, Ben-Haim S, Neimat J, Tovar-Spinoza Z, Chiang V, Spencer D, Sun D, Fecci P, Baumgartner J. A prospective multicenter study of laser ablation for drug resistant epilepsy – One year outcomes. Epilepsy Res 2020; 167:106473. [DOI: 10.1016/j.eplepsyres.2020.106473] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/21/2020] [Accepted: 09/17/2020] [Indexed: 10/23/2022]
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Abstract
Abstract
INTRODUCTION
Discordant response between brain and systemic metastases occur in patients receiving targeted therapies and repeat tumor profiling of the progressing site could guide further therapy. We propose that circulating tumor DNA (ctDNA) might be detectable in the cerebrospinal fluid (CSF) and reflective of the genetic profile of intraparenchymal brain metastases.
METHODS
Patients with brain metastases undergoing a craniotomy or lumbar puncture were enrolled between July 2018 to April 2019 under an IRB-approved protocol. CSF and blood were collected simultaneously. Cell-free DNA (cfDNA) were extracted and ctDNA were identified and quantified using an Error-Suppressed Deep Sequencing method previously published by our group. Forty-three mutation-prone regions of 24 cancer-associated genes were assayed, and the allelic fractions were calculated against wild-type sequence counts.
RESULTS
Sixteen patients were enrolled in this study - 12 patients with intraparenchymal brain metastases, two patients with CSF cytology-positive leptomeningeal disease (LMD) and 2 patients with normal pressure hydrocephalus (NPH) as controls. Primary cancer types were lung (n=10), melanoma (n=2), renal cell (n=1) and colorectal (n=1) cancers. cfDNA was found in all sixteen samples of CSF. CSF ctDNA were found in eight patients (67%) and plasma ctDNA were only found in five patients (42%) with intraparenchymal tumors. In six patients with additional time-matched brain metastasis tissue, four were found to have congruent mutations in the CSF, while only one harbored such mutation in the plasma.
DISCUSSION
Analysis of CSF can be a viable alternative to obtaining brain metastasis tissue for DNA profiling in the detection of novel and resistance mutations. The presence CSF ctDNA is not restricted to LMD and were isolated from two-thirds of patients with intraparenchymal disease in our cohort. Furthermore, CSF remains a better source than plasma for the detection of ctDNA across multiple brain metastases tumor subtypes.
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Affiliation(s)
- Stephanie Cheok
- Department of Neurosurgery, Yale University, New Haven, CT, USA
| | - Azeet Narayan
- Department of Therapeutic Radiology, Yale University, New Haven, CT, USA
| | - Anna Arnal-Estape
- Department of Pathology, Yale University, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Abhijit Patel
- Department of Therapeutic Radiology, Yale University, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Don Nguyen
- Department of Pathology, Yale University, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Veronica Chiang
- Department of Neurosurgery, Yale University, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
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Hong C, Chiang V. 14. DELAYED MRI RESPONSE TO LITT IN PATIENTS UNDERGOING IMMUNOTHERAPY. Neurooncol Adv 2020. [PMCID: PMC7401361 DOI: 10.1093/noajnl/vdaa073.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Laser interstitial thermal therapy (LITT) is an effective treatment for regrowing lesions after previous radiosurgery to brain metastases, typically resulting in decreased perilesional edema within weeks followed by delayed reduction in lesion size. We have anecdotally observed that patients on immunotherapy (IT) at time of LITT may exhibit a delayed edema resolution response to laser ablation. Post-operative imaging for cases of LITT, performed by the senior author from June 2012-July 2019, for regrowing lesions after prior radiosurgery for brain metastases were retrospectively reviewed. The IT group was defined as any patient receiving IT treatment within 3 months of LITT. Post-operative MRIs obtained at serial time points after surgery (2 weeks, 6 weeks, 3 months, 6 months, and 12 months) were reviewed for treatment response to LITT, defined as change in surrounding edema on T2 FLAIR and change of lesion size on T1-weighted post-contrast images. Out of 60 ablated lesions, 22 were in the IT and 38 were in the non-IT groups. There were no differences in distribution of original cancer pathology (IT: 9 melanoma, 8 lung, 5 other, non-IT: 6 melanoma, 20 lung, 12 other; p>0.05). Time to lesion size response on T1-weighted post-contrast MRI neared but did not reach statistical significance between the IT and non-IT groups: median 3.0 versus 2.25 months (HR 1.5, 0.8–2.5, 95% CI, p=0.08), respectively. However, time to reduction of perilesional edema on T2-weighted MRI was significantly longer in the IT group, compared to the non-IT group: median 2.25 versus 1.5 months (HR 1.5, 0.9–2.5, 95% CI, p=0.04), respectively. These data suggest that IT around the time of LITT may lead to delayed edema reduction on MRI after LITT. We hypothesize IT may enhance normal immune-mediated mechanisms thus increasing perilesional inflammation after LITT. Further studies are needed to corroborate our observations and explore the underlying pathophysiology.
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Sperduto PW, Mesko S, Li J, Cagney D, Aizer A, Lin NU, Nesbit E, Kruser TJ, Chan J, Braunstein S, Lee J, Kirkpatrick JP, Breen W, Brown PD, Shi D, Shih HA, Soliman H, Sahgal A, Shanley R, Sperduto W, Lou E, Everett A, Boggs DH, Masucci L, Roberge D, Remick J, Plichta K, Buatti JM, Jain S, Gaspar LE, Wu CC, Wang TJC, Bryant J, Chuong M, Yu J, Chiang V, Nakano T, Aoyama H, Mehta MP. Beyond an Updated Graded Prognostic Assessment (Breast GPA): A Prognostic Index and Trends in Treatment and Survival in Breast Cancer Brain Metastases From 1985 to Today. Int J Radiat Oncol Biol Phys 2020; 107:334-343. [PMID: 32084525 PMCID: PMC7276246 DOI: 10.1016/j.ijrobp.2020.01.051] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 01/28/2020] [Accepted: 01/31/2020] [Indexed: 02/02/2023]
Abstract
PURPOSE Brain metastases are a common sequelae of breast cancer. Survival varies widely based on diagnosis-specific prognostic factors (PF). We previously published a prognostic index (Graded Prognostic Assessment [GPA]) for patients with breast cancer with brain metastases (BCBM), based on cohort A (1985-2007, n = 642), then updated it, reporting the effect of tumor subtype in cohort B (1993-2010, n = 400). The purpose of this study is to update the Breast GPA with a larger contemporary cohort (C) and compare treatment and survival across the 3 cohorts. METHODS AND MATERIALS A multi-institutional (19), multinational (3), retrospective database of 2473 patients with breast cancer with newly diagnosed brain metastases (BCBM) diagnosed from January 1, 2006, to December 31, 2017, was created and compared with prior cohorts. Associations of PF and treatment with survival were analyzed. Kaplan-Meier survival estimates were compared with log-rank tests. PF were weighted and the Breast GPA was updated such that a GPA of 0 and 4.0 correlate with the worst and best prognoses, respectively. RESULTS Median survival (MS) for cohorts A, B, and C improved over time (from 11, to 14 to 16 months, respectively; P < .01), despite the subtype distribution becoming less favorable. PF significant for survival were tumor subtype, Karnofsky Performance Status, age, number of BCBMs, and extracranial metastases (all P < .01). MS for GPA 0 to 1.0, 1.5-2.0, 2.5-3.0, and 3.5-4.0 was 6, 13, 24, and 36 months, respectively. Between cohorts B and C, the proportion of human epidermal receptor 2 + subtype decreased from 31% to 18% (P < .01) and MS in this subtype increased from 18 to 25 months (P < .01). CONCLUSIONS MS has improved modestly but varies widely by diagnosis-specific PF. New PF are identified and incorporated into an updated Breast GPA (free online calculator available at brainmetgpa.com). The Breast GPA facilitates clinical decision-making and will be useful for stratification of future clinical trials. Furthermore, these data suggest human epidermal receptor 2-targeted therapies improve clinical outcomes in some patients with BCBM.
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Affiliation(s)
- Paul W Sperduto
- Minneapolis Radiation Oncology & University of Minnesota Gamma Knife Center, Minneapolis, Minnesota.
| | | | - Jing Li
- MD Anderson Cancer Center, Houston, Texas
| | | | - Ayal Aizer
- Dana Farber Cancer Institute, Boston, Massachusetts
| | - Nancy U Lin
- Dana Farber Cancer Institute, Boston, Massachusetts
| | | | | | - Jason Chan
- University of California San Francisco, San Francisco, California
| | - Steve Braunstein
- University of California San Francisco, San Francisco, California
| | | | | | | | | | - Diana Shi
- Massachusetts General Hospital, Massachusetts, Boston, Massachusetts
| | - Helen A Shih
- Massachusetts General Hospital, Massachusetts, Boston, Massachusetts
| | - Hany Soliman
- Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Arjun Sahgal
- Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | | | | | - Emil Lou
- University of Minnesota, Minneapolis, Minnesota
| | | | | | - Laura Masucci
- Centre Hospitalier de l' Université de Montréal, Montreal, Quebec, Canada
| | - David Roberge
- Centre Hospitalier de l' Université de Montréal, Montreal, Quebec, Canada
| | | | | | | | | | | | | | | | | | | | - James Yu
- Yale University, New Haven, Connecticut
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48
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Mastorakos P, Xu Z, Yu J, Hess J, Qian J, Chatrath A, Taylor DG, Kondziolka D, Warnick R, Chiang V, Sheehan J. BRAF V600 Mutation and BRAF Kinase Inhibitors in Conjunction With Stereotactic Radiosurgery for Intracranial Melanoma Metastases: A Multicenter Retrospective Study. Neurosurgery 2020; 84:868-880. [PMID: 29846702 DOI: 10.1093/neuros/nyy203] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Accepted: 04/17/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The BRAF mutation has been identified as a potent target for the treatment of metastatic melanoma and BRAF inhibitors (BRAFi) have demonstrated promising results against melanoma brain metastases (BM). OBJECTIVE To further investigate the effectiveness of this combined treatment regimen. METHODS In this multicenter retrospective cohort study, 198 patients with known BRAF mutation status and treated with stereotactic radiosurgery (SRS) between 2011 and 2015 were identified. Kaplan-Meier methodology and multivariate regression analysis was then used to compare survival based on each parameter. RESULTS The median survival after the diagnosis of BM in patients with BRAF mutation who received BRAFi was increased compared to survival in patients with wild-type BRAF (BRAF wt). In multivariate analysis, the BRAF mutation was an independent, positive prognostic factor with a hazard ratio of 0.59. BRAF mutated Patients who received BRAFi following SRS had improved survival compared to patients who received it before (P < .001) or concurrently (P = .007). PD-1 inhibitors improved survival, with more pronounced effect in patients not carrying the BRAF mutation. Among the patients who were treated with BRAFi, 10.4% developed intracerebral hematoma (ICH), in comparison to 3% of patients who were not treated with BRAFi (P = .03). CONCLUSION In the setting of widespread use of BRAFi, the presence of a BRAF mutation is an independent predictor of better prognosis in patients with melanoma BM that underwent SRS. The effect of BRAFi is optimal when treatment is initiated at least 1 wk following SRS. BRAFi may increase the frequency of asymptomatic ICH.
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Affiliation(s)
- Panagiotis Mastorakos
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia.,Department of Neurological Surgery, National Institutes of Health, Bethesda, Maryland
| | - Zhiyuan Xu
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | - James Yu
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut
| | - Judith Hess
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
| | - Jack Qian
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut
| | - Ajay Chatrath
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | - Davis G Taylor
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | | | - Ronald Warnick
- Department of Neurosurgery, University of Cincinnati, Cincinnati, Ohio
| | - Veronica Chiang
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
| | - Jason Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia.,Department of Radiation Oncology, University of Virginia, Charlottesville, Virginia
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49
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Xu Z, Mathieu D, Heroux F, Abbassy M, Barnett G, Mohammadi AM, Kano H, Caruso J, Shih HH, Grills IS, Lee K, Krishnan S, Kaufmann AM, Lee JYK, Alonso-Basanta M, Kerr M, Pierce J, Kondziolka D, Hess JA, Gerrard J, Chiang V, Lunsford LD, Sheehan JP. Stereotactic Radiosurgery for Trigeminal Neuralgia in Patients With Multiple Sclerosis: A Multicenter Study. Neurosurgery 2019; 84:499-505. [PMID: 29688562 DOI: 10.1093/neuros/nyy142] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Accepted: 03/20/2018] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Facial pain response (PR) to various surgical interventions in patients with multiple sclerosis (MS)-related trigeminal neuralgia (TN) is much less optimal. No large patient series regarding stereotactic radiosurgery (SRS) has been published. OBJECTIVE To evaluate the clinical outcomes of MS-related TN treated with SRS. METHODS This is a retrospective cohort study. A total of 263 patients contributed by 9 member tertiary referral Gamma Knife centers (2 in Canada and 7 in USA) of the International Gamma Knife Research Consortium (IGKRF) constituted this study. RESULTS The median latency period of PR after SRS was 1 mo. Reasonable pain control (Barrow Neurological Institute [BNI] Pain Scores I-IIIb) was achieved in 232 patients (88.2%). The median maintenance period from SRS was 14.1 months (range, 10 days to 10 years). The actuarial reasonable pain control maintenance rates at 1 yr, 2 yr, and 4 yr were 54%, 35%, and 24%, respectively. There was a correlation between the status of achieving BNI-I and the maintenance of facial pain recurrence-free rate. The median recurrence-free rate was 36 mo and 12.2 mo in patients achieving BNI-I and BNI > I, respectively (P = .046). Among 210 patients with known status of post-SRS complications, the new-onset of facial numbness (BNI-I or II) after SRS occurred in 21 patients (10%). CONCLUSION In this largest series SRS offers a reasonable benefit to risk profile for patients who have exhausted medical management. More favorable initial response to SRS may predict a long-lasting pain control.
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Affiliation(s)
- Zhiyuan Xu
- Department of Neurosurgery, Univer-sity of Virginia, Charlottesville, Virginia
| | - David Mathieu
- Division of Neurosurgery, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | - France Heroux
- Division of Neurosurgery, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | - Mahmoud Abbassy
- Department of Neurosurgery, Cleveland Clinic, Cleveland, Ohio
| | - Gene Barnett
- Department of Neurosurgery, Cleveland Clinic, Cleveland, Ohio
| | | | - Hideyuki Kano
- Dep-artment of Neurological Surgery, Univer-sity of Pittsburgh, Pittsburgh, Pennsyl-vania
| | - James Caruso
- Department of Neurosurgery, Univer-sity of Virginia, Charlottesville, Virginia
| | - Han-Hsun Shih
- Department of Neurosurgery, Univer-sity of Virginia, Charlottesville, Virginia.,Department of Anesthesiology, Taichung Veterans General Hospital, Taichung, Taiwan, Republic of China
| | - Inga S Grills
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan
| | - Kuei Lee
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan
| | - Sandeep Krishnan
- Section of Neurosurgery, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Anthony M Kaufmann
- Section of Neurosurgery, University of Manitoba, Winnipeg, Manitoba, Canada
| | - John Y K Lee
- Department of Neurosurgery, Otolaryngology, Univer-sity of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Marie Kerr
- Department of Neurosurgery, Otolaryngology, Univer-sity of Pennsylvania, Philadelphia, Pennsylvania
| | - John Pierce
- Department of Neurosurgery, Otolaryngology, Univer-sity of Pennsylvania, Philadelphia, Pennsylvania
| | - Douglas Kondziolka
- Depart-ment of Neurosurgery, New York University Langone Medical Center, New York, New York
| | - Judith A Hess
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
| | - Jason Gerrard
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
| | - Veronica Chiang
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut
| | - L Dade Lunsford
- Dep-artment of Neurological Surgery, Univer-sity of Pittsburgh, Pittsburgh, Pennsyl-vania
| | - Jason P Sheehan
- Department of Neurosurgery, Univer-sity of Virginia, Charlottesville, Virginia
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50
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Kluger HM, Forsyth P, Khushalani N, Eroglu Z, Sznol M, Tran T, Jilaveanu L, Cohen JV, Hegde U, Wei W, Mahajan A, Goldberg SB, Chiang V, Weiss SA. RBTT-07. A PHASE 2 TRIAL OF PEMBROLIZUMAB AND BEVACIZUMAB IN MELANOMA BRAIN MET PATIENTS. Neuro Oncol 2019. [DOI: 10.1093/neuonc/noz175.919] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
BACKGROUND
Pembro monotherapy (NCT02085070) produces responses in 26% of (mel) BrM pts. VEGF inhibitors (VEGFi) enhance anti-PD-1 activity in preclinicals. Therefore, we initiated a phase 2 study (NCT02681549) of pembro plus bev in BrM pts.
METHODS
Eligibility includes advanced mel, > 1 asymptomatic BrM, diameter 5-20mm, no steroids, no prior PD-1/PD-L1 or VEGFi. Pembro IV 200mg q3 wks for < yrs with bev 7.5mg/kg for the first 4 cycles. Primary endpoint was BrM RR by modified RECIST.
RESULTS
Between 8/2016 - 1/2019, 20 mel pts were enrolled. 60% were male mdn age 62;ECOG PS was 0 in 16 and 1 in 4 pts; LDH > ULN in 20%; 4 (20%); 10 were BRAFmt; 8 pts (40%) had > 4 untreated BrM. 12 had a BrM response (7 CR, 5 PR); 1 each with SD, unevaluable and an unconfirmed PR, for an ORR BrM of 60% (12/20). All responses lasted 7+ to 30+ mths. 16 pts are alive. AEs attributable to bev include hypertension, microscopic diverticular perforation and wound dehiscence (1 pt each, all resolved). 1 had mucositis attributed to Pembro. Three d/c’d treatment for grade 3 ALT elevation. Cerebral edema decreased in all pts with baseline edema.
CONCLUSIONS
Pembro plus bev demonstrates promising activity in melanoma BrMs compared to pembro alone. The pre-specified primary endpoint (> 4 BrM responses/20) was met, supporting further study. The toxicity profile was similar to pembro alone.
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Affiliation(s)
| | - Peter Forsyth
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | | | - Zeynep Eroglu
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | | | | | | | | | | | - Wei Wei
- Yale Cancer Center, New Haven, USA
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