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Wilson GD, Wilson TG, Hanna A, Dabjan M, Buelow K, Torma J, Marples B, Galoforo S. Dacomitinib and gedatolisib in combination with fractionated radiation in head and neck cancer. Clin Transl Radiat Oncol 2020; 26:15-23. [PMID: 33251343 PMCID: PMC7677653 DOI: 10.1016/j.ctro.2020.11.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 11/02/2020] [Accepted: 11/03/2020] [Indexed: 01/05/2023] Open
Abstract
We evaluated radiation with dual EGFR and PI3K targeting in head and neck cancer. Dacomitinib, showed an inverse correlation between growth inhibition and EGFR expression. Gedatolisib was effective in each cell line. Neither drug caused radiosensitization in vitro. Gedatolisib was relatively ineffective in vivo in combination with dacomitinib and/or radiation. Dacomitinib was highly effective alone and in combination with radiation and/or gedatolisib. Immunoblotting studies in vivo mirrored the effects seen with growth delay.
Background and purpose There has been little success targeting individual genes in combination with radiation in head and neck cancer. In this study we investigated whether targeting two key pathways simultaneously might be more effective. Materials and methods We studied the effect of combining dacomitinib (pan-HER, irreversible inhibitor) and gedatolisib (dual PI3K/MTOR inhibitor) with radiation in well characterized, low passage xenograft models of HNSCC in vitro and in vivo. Results Dacomitinib showed differential growth inhibition in vitro that correlated to EGFR expression whilst gedatolisib was effective in both cell lines. Neither agent radiosensitized the cell lines in vitro. In vivo studies demonstrated that dacomitinib was an effective agent alone and in combination with radiation whilst the addition of gedatolisib did not enhance the effect of these two modalities despite inhibiting phosphorylation of key genes in the PI3K/MTOR pathway. Conclusions Our results showed that combining two drugs with radiation provided no added benefit compared to the single most active drug. Dacomitinib deserves more investigation as a radiation sensitizing agent in HNSCC.
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Affiliation(s)
- George D Wilson
- Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, United States
| | - Thomas G Wilson
- Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, United States
| | - Alaa Hanna
- Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, United States
| | - Mohamad Dabjan
- Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, United States
| | - Katie Buelow
- Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, United States
| | - John Torma
- Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, United States
| | - Brian Marples
- Department of Radiation Oncology, University of Rochester, Rochester, NY, United States
| | - Sandra Galoforo
- Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, United States
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Huang J, Milchenko M, Rao YJ, LaMontagne P, Abraham C, Robinson CG, Huang Y, Shimony JS, Rich KM, Benzinger T. A feasibility study to evaluate early treatment response of brain metastases one week after stereotactic radiosurgery using perfusion weighted imaging. PLoS One 2020; 15:e0241835. [PMID: 33141861 PMCID: PMC7608872 DOI: 10.1371/journal.pone.0241835] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 10/20/2020] [Indexed: 01/06/2023] Open
Abstract
Background To explore if early perfusion-weighted magnetic resonance imaging (PWI) may be a promising imaging biomarker to predict local recurrence (LR) of brain metastases after stereotactic radiosurgery (SRS). Methods This is a prospective pilot study of adult brain metastasis patients who were treated with SRS and imaged with PWI before and 1 week later. Relative cerebral blood volume (rCBV) parameter maps were calculated by normalizing to the mean value of the contralateral white matter on PWI. Cox regression was conducted to explore factors associated with time to LR, with Bonferroni adjusted p<0.0006 for multiple testing correction. LR rates were estimated with the Kaplan-Meier method and compared using the log-rank test. Results Twenty-three patients were enrolled from 2013 through 2016, with 22 evaluable lesions from 16 patients. After a median follow-up of 13.1 months (range: 3.0–53.7), 5 lesions (21%) developed LR after a median of 3.4 months (range: 2.3–5.7). On univariable analysis, larger tumor volume (HR 1.48, 95% CI 1.02–2.15, p = 0.04), lower SRS dose (HR 0.45, 95% CI 0.21–0.97, p = 0.04), and higher rCBV at week 1 (HR 1.07, 95% CI 1.003–1.14, p = 0.04) had borderline association with shorter time to LR. Tumors >2.0cm3 had significantly higher LR than if ≤2.0cm3: 54% vs 0% at 1 year, respectively, p = 0.008. A future study to confirm the association of early PWI and LR of the high-risk cohort of lesions >2.0cm3 is estimated to require 258 patients. Conclusions PWI at week 1 after SRS may have borderline association with LR. Tumors <2.0cm3 have low risk of LR after SRS and may be low-yield for predictive biomarker studies. Information regarding sample size and potential challenges for future imaging biomarker studies may be gleaned from this pilot study.
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Affiliation(s)
- Jiayi Huang
- Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Mikhail Milchenko
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Yuan J Rao
- Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Pamela LaMontagne
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Christopher Abraham
- Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Clifford G Robinson
- Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Yi Huang
- Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Keith M Rich
- Department of Neurosurgery, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Tammie Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
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Cheng J, Ma S, Yang G, Wang L, Hou W. The Mechanism of Computed Tomography-Guided 125I Particle in Treating Lung Cancer. Med Sci Monit 2017; 23:292-299. [PMID: 28095393 PMCID: PMC5266203 DOI: 10.12659/msm.898526] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Background The incidence of malignant tumor has gradually increased. How to improve the survival and quality of life of patients who lose the opportunity for surgery or who are unwilling to receive surgery remains an obstacle. At present, 125I particle interstitial implant therapy has been applied in a variety of treatments of tumors. However, the mechanism of computed tomography (CT)-guided 125I particle therapy in lung cancer has not been fully elucidated. Material/Methods A total of 42 patients with advanced non-small cell lung cancer were retrospectively analyzed between January 2013 and December 2013, including 19 patients who received CT-guided 125I particle therapy and 23 patients who received chemotherapy. Curative effect and adverse reactions at 6 months and 12 months were compared and analyzed. A rabbit lung cancer VX2 model was treated by 125I particle implantation therapy under CT guidance. The change in tumor volume was detected. Tumor cell apoptosis was tested by flow cytometry. Bcl-2 and Bax expression were determined by real-time polymerase chain reaction (PCR) and Western blot. Results 125I particle therapy obviously reduced tumor volume after 6 months and 12 months. It showed significantly higher efficiency (57.9%, 57.9%) and control (78.9%, 73.7%) than the rates of efficiency and control in the chemotherapy group (P<0.05). 125I particle implantation therapy markedly suppressed rabbit VX2 transplanted tumor cell proliferation, promoted tumor regression, induced tumor cell apoptosis, reduced Bcl-2 expression, and upregulated Bax expression level (P<0.05). Conclusions CT-guided 125I particle implantation therapy can inhibit tumor proliferation and growth by regulating the expression of apoptosis-related genes and proteins, which is a promising approach in lung cancer treatment.
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Affiliation(s)
- Jianzhong Cheng
- Department of Ultrasound, Zhumadian Central Hospital, Zhumadian, Henan, China (mainland)
| | - Shaozeng Ma
- Department of Ultrasound, Zhumadian Central Hospital, Zhumadian, Henan, China (mainland)
| | - Guanghua Yang
- Department of Internal Medicine, Zhumadian Central Hospital, Zhumadian, Henan, China (mainland)
| | - Lisen Wang
- Department of Internal Medicine, Zhumadian Central Hospital, Zhumadian, Henan, China (mainland)
| | - Wei Hou
- Department of Ultrasound, Zhumadian Central Hospital, Zhumadian, Henan, China (mainland)
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Min M, Lin P, Lee M, Ho Shon I, Lin M, Forstner D, Tieu MT, Chicco A, Bray V, Fowler A. Prognostic Value of 2-[(18)F] Fluoro-2-deoxy-D-glucose Positron Emission Tomography-Computed Tomography Scan Carried out During and After Radiation Therapy for Head and Neck Cancer Using Visual Therapy Response Interpretation Criteria. Clin Oncol (R Coll Radiol) 2016; 28:393-401. [PMID: 26782837 DOI: 10.1016/j.clon.2015.12.026] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2015] [Revised: 12/02/2015] [Accepted: 12/08/2015] [Indexed: 10/25/2022]
Abstract
AIMS To evaluate the prognostic utility of 2-[(18)F] fluoro-2-deoxy-d-glucose positron emission tomography-computed tomography (FDG PET-CT) carried out in the third week (iPET) and after completion (pPET) of definitive radiation therapy in patients with mucosal primary head and neck squamous cell carcinoma (MPHNSCC) and to investigate the optimal visual grading criteria for therapy response assessment. MATERIALS AND METHODS Sixty-nine consecutive patients with newly diagnosed MPHNSCC treated with radical radiation therapy with or without systemic therapy underwent staging. PET-CT, iPET and pPET were included. All PET-CT images were reviewed by using a visual grading system to assess metabolic response for primary tumour: 0 = similar to adjacent background blood pool activity; 1 = more than background but < mediastinal blood pool; 2 ≥ mediastinal blood pool and < liver; 3 ≥ liver; and 4 ≥ brain. The results were correlated with locoregional recurrence-free survival (LRFS), disease-free survival (DFS) and overall survival, using Kaplan-Meier analysis. RESULTS The median follow-up was 28 months (range 6-62), the median age was 61 years (range 39-81) and AJCC 7th edition clinical stage II, III and IV were six, 18 and 45 patients, respectively. The optimal threshold for non-complete metabolic response (non-CMR) was defined as focal uptake ≥ liver (grade 3) for iPET and focal uptake ≥ mediastinum (grade 2) for pPET. The 2 year Kaplan-Meier LRFS, DFS and overall survival estimates for primary CMR and non-CMR in iPET were 89.8% versus 71.5% (P = 0.062), 80.1% versus 65.3% (P = 0.132), 79.1% versus 72.1% (P = 0.328) and in pPET 86.2% versus 44.6% (P = 0.0005), 77.6% versus 41.2% (P = 0.006), 81.2% versus 40.6% (P = 0.01), respectively. The negative predictive value (NPV) for LRFS for patients achieving both primary and nodal CMR in iPET was 100%. No locoregional failure was observed in patients with both primary and nodal iPET CMR (P = 0.038), whereas those with nodal iPET CMR had no regional failure (P = 0.033). However, the positive predictive values (PPV) for LRFS and DFS for iPET and pPET were found to be poor: 30% and 36% for iPET and 35% and 39% for pPET, respectively. CONCLUSION Standardised criteria using visual assessment are feasible. The metabolic response using visual assessment with standardised interpretation criteria of iPET and pPET can be useful predictors of tumour control. Dose de-escalation can be considered on the basis of a high NPV for iPET. However, the PPV of iPET is poor, indicating that additional discriminative tools are needed.
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Affiliation(s)
- M Min
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, Australia; University of New South Wales, Sydney, Australia; Ingham Institute of Applied Medical Research, Liverpool, Australia
| | - P Lin
- University of New South Wales, Sydney, Australia; Department of Nuclear Medicine and PET, Liverpool Hospital, Liverpool, Australia; University of Western Sydney, Sydney, Australia
| | - M Lee
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, Australia; University of New South Wales, Sydney, Australia
| | - I Ho Shon
- University of New South Wales, Sydney, Australia; Department of Nuclear Medicine and PET, Liverpool Hospital, Liverpool, Australia; University of Western Sydney, Sydney, Australia
| | - M Lin
- University of New South Wales, Sydney, Australia; Department of Nuclear Medicine and PET, Liverpool Hospital, Liverpool, Australia; University of Western Sydney, Sydney, Australia
| | - D Forstner
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, Australia; University of New South Wales, Sydney, Australia; Ingham Institute of Applied Medical Research, Liverpool, Australia
| | - M T Tieu
- Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, Australia; University of Newcastle, Callaghan, Australia
| | - A Chicco
- Department of Nuclear Medicine and PET, Liverpool Hospital, Liverpool, Australia
| | - V Bray
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, Australia
| | - A Fowler
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, Australia.
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Prognostic role of metabolic parameters of (18)F-FDG PET-CT scan performed during radiation therapy in locally advanced head and neck squamous cell carcinoma. Eur J Nucl Med Mol Imaging 2015; 42:1984-94. [PMID: 26081941 PMCID: PMC4623084 DOI: 10.1007/s00259-015-3104-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Accepted: 05/28/2015] [Indexed: 11/03/2022]
Abstract
Purpose To evaluate the prognostic value of 18F-FDG PET-CT performed in the third week (iPET) of definitive radiation therapy (RT) in patients with newly diagnosed locally advanced mucosal primary head and neck squamous-cell-carcinoma (MPHNSCC). Methodology Seventy-two patients with MPHNSCC treated with radical RT underwent staging PET-CT and iPET. The maximum standardised uptake value (SUVmax), metabolic tumour volume (MTV) and total lesional glycolysis (TLG) of primary tumour (PT) and index node (IN) [defined as lymph node(s) with highest TLG] were analysed, and results were correlated with loco-regional recurrence-free survival (LRFS), disease-free survival (DFS), metastatic failure-free survival(MFFS) and overall survival (OS), using Kaplan-Meier analysis. Results Optimal cutoffs (OC) were derived from receiver operating characteristic curves: SUVmax-PT = 4.25 g/mL, MTVPT = 3.3 cm3, TLGPT = 9.4 g, for PT, and SUVmax-IN = 4.05 g/mL, MTVIN = 1.85 cm3 and TLGIN = 7.95 g for IN. Low metabolic values in iPET for PT below OC were associated with statistically significant better LRFS and DFS. TLG was the best predictor of outcome with 2-year LRFS of 92.7 % vs. 71.1 % [p = 0.005, compared with SUVmax (p = 0.03) and MTV (p = 0.022)], DFS of 85.9 % vs. 60.8 % [p = 0.005, compared with SUVmax (p = 0.025) and MTV (p = 0.018)], MFFS of 85.9 % vs. 83.7 % [p = 0.488, compared with SUVmax (p = 0.52) and MTV (p = 0.436)], and OS of 81.1 % vs. 75.0 % [p = 0.279, compared with SUVmax (p = 0.345) and MTV (p = 0.512)]. There were no significant associations between the percentage reduction of primary tumour metabolic parameters and outcomes. In patients with nodal disease, metabolic parameters below OC (for both PT and IN) were significantly associated with all oncological outcomes, while TLG was again the best predictor: LRFS of 84.0 % vs. 55.3 % (p = 0.017), DFS of 79.4 % vs. 38.6 % (p = 0.001), MFFS 86.4 % vs. 68.2 % (p = 0.034) and OS 80.4 % vs. 55.7 % (p = 0.045). Conclusion The metabolic parameters of iPET can be useful predictors of patient outcome and potentially have a role in adaptive therapy for MPHNSCC. Among the three parameters, TLG was found to be the best prognostic indicator of oncological outcomes.
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