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Xiao N, Cao X, Liu Z, Han Y. Two germline mutations can serve as genetic susceptibility screening makers for a lung adenocarcinoma family. J Cancer Res Clin Oncol 2023; 149:6541-6548. [PMID: 36781503 DOI: 10.1007/s00432-023-04616-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/27/2023] [Indexed: 02/15/2023]
Abstract
OBJECTIVES Lung cancer is the most common form of cancer and the leading cause of cancer death. For familial lung cancer, identification of causing genetic factors is essential for prevention and control of non-lung cancer in carriers. MATERIALS AND METHODS We studied two generations of a family with suspected inherited lung cancer susceptibility. Four individuals in this family had lung adenocarcinoma. To identify the gene(s) that cause the lung cancer in this pedigree, we extracted DNA from the peripheral blood of four cancer individuals and blood from three cancer-free family members as the control and performed whole-genome sequencing. Our filtering strategy includes, assessment of allele frequency, functional affection on amino acids, mutation accumulation, phased blocks and evolution analysis towards the alterations. RESULTS We identified two possible mutations, including PLEKHM2 (D134N) and MCC (R448Q) in all affected family members but did not found in the control group. Then, we performed a genetic susceptibility screening for 10 non-lung cancer relatives and found two individuals with PLEKHM2 (D134N) mutation, two with MCC (R448Q) mutation and one carrying both mutations. 3 carriers performed LDCT scan and 2 of them carried MCC (R448Q) also had ground-glass opacity (GGO) lesion in their lung. CONCLUSION Our data suggested that WGS together with our filtering strategy was successful in identifying PLEKHM2 (D134N) and MCC (R448Q) as the possible driver mutations in this family. Genetic susceptibility screening of non-lung cancer carriers will be a useful approach to prevent and control lung cancer in families with high-risk for the disease.
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Affiliation(s)
- Ning Xiao
- Second Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Xiaoqing Cao
- Second Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Zhidong Liu
- Second Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University, Beijing, China.
| | - Yi Han
- Third Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University, Beijing, China.
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Yun M, Yingzi L, Jie G, Guanxin L, Zimei Z, Zhen C, Zhi L, Yingjie N, Lunquan S, Tao C, Yuezhen D, Chengzhi Z. PPDPF Promotes the Progression and acts as an Antiapoptotic Protein in Non-Small Cell Lung Cancer. Int J Biol Sci 2022; 18:214-228. [PMID: 34975328 PMCID: PMC8692159 DOI: 10.7150/ijbs.65654] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 10/20/2021] [Indexed: 02/07/2023] Open
Abstract
Resistance to radiotherapy is frequently observed in the clinic and leads to poor prognosis of non-small cell lung cancer (NSCLC). How to overcome resistance to radiotherapy is a challenge in the treatment of NSCLC. In this study, PPDPF was found to be upregulated in NSCLC tissues and cell lines, and its expression negatively correlated with the overall survival of patients with NSCLC. PPDPF promoted the growth, colony formation and invasion of lung cancer cells. Moreover, knockout of PPDPF inhibited tumorigenesis in the KL (KrasG12D; LKB1f/f) mouse model of lung cancer. Additionally, overexpression of PPDPF led to radioresistance in lung cancer cells, and knockdown of PPDPF sensitized lung cancer cells to radiotherapy. Mechanistically, PPDPF interacted with BABAM2 (an antiapoptotic protein) and blocked its ubiquitination by MDM2, thus stabilizing BABAM2 and promoting the radioresistance of lung cancer cells. Our present study suggested PPDPF as a therapeutic target in NSCLC.
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Affiliation(s)
- Mu Yun
- Department of Oncology, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha 410008, China.,Key Laboratory of Molecular Radiation Oncology Hunan Province, Changsha 410008, China
| | - Li Yingzi
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Gao Jie
- Department of Oncology, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha 410008, China.,Key Laboratory of Molecular Radiation Oncology Hunan Province, Changsha 410008, China.,Hunan International Science and Technology Collaboration Base of Precision Medicine for Cancer, Changsha 410008, China.,Center for Molecular Imaging of Central South University, Xiangya Hospital, Changsha 410008, China
| | - Liu Guanxin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Zeng Zimei
- Department of Oncology, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha 410008, China.,Key Laboratory of Molecular Radiation Oncology Hunan Province, Changsha 410008, China.,Hunan International Science and Technology Collaboration Base of Precision Medicine for Cancer, Changsha 410008, China.,Center for Molecular Imaging of Central South University, Xiangya Hospital, Changsha 410008, China
| | - Cao Zhen
- Department of Oncology, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha 410008, China.,Key Laboratory of Molecular Radiation Oncology Hunan Province, Changsha 410008, China.,Hunan International Science and Technology Collaboration Base of Precision Medicine for Cancer, Changsha 410008, China.,Center for Molecular Imaging of Central South University, Xiangya Hospital, Changsha 410008, China
| | - Li Zhi
- Department of Oncology, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha 410008, China.,Key Laboratory of Molecular Radiation Oncology Hunan Province, Changsha 410008, China.,Hunan International Science and Technology Collaboration Base of Precision Medicine for Cancer, Changsha 410008, China.,Center for Molecular Imaging of Central South University, Xiangya Hospital, Changsha 410008, China
| | - Nie Yingjie
- NHC Key Laboratory of Pulmonary Immune-related Diseases, Guizhou Provincial People's Hospital; Guiyang 550000, China
| | - Sun Lunquan
- Department of Oncology, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha 410008, China.,Key Laboratory of Molecular Radiation Oncology Hunan Province, Changsha 410008, China.,Hunan International Science and Technology Collaboration Base of Precision Medicine for Cancer, Changsha 410008, China.,Center for Molecular Imaging of Central South University, Xiangya Hospital, Changsha 410008, China
| | - Chen Tao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Deng Yuezhen
- Department of Oncology, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha 410008, China.,Key Laboratory of Molecular Radiation Oncology Hunan Province, Changsha 410008, China.,Hunan International Science and Technology Collaboration Base of Precision Medicine for Cancer, Changsha 410008, China.,Center for Molecular Imaging of Central South University, Xiangya Hospital, Changsha 410008, China
| | - Zhou Chengzhi
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
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Hope A, Verduin M, Dilling TJ, Choudhury A, Fijten R, Wee L, Aerts HJWL, El Naqa I, Mitchell R, Vooijs M, Dekker A, de Ruysscher D, Traverso A. Artificial Intelligence Applications to Improve the Treatment of Locally Advanced Non-Small Cell Lung Cancers. Cancers (Basel) 2021; 13:2382. [PMID: 34069307 PMCID: PMC8156328 DOI: 10.3390/cancers13102382] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 04/21/2021] [Accepted: 05/03/2021] [Indexed: 11/16/2022] Open
Abstract
Locally advanced non-small cell lung cancer patients represent around one third of newly diagnosed lung cancer patients. There remains a large unmet need to find treatment strategies that can improve the survival of these patients while minimizing therapeutical side effects. Increasing the availability of patients' data (imaging, electronic health records, patients' reported outcomes, and genomics) will enable the application of AI algorithms to improve therapy selections. In this review, we discuss how artificial intelligence (AI) can be integral to improving clinical decision support systems. To realize this, a roadmap for AI must be defined. We define six milestones involving a broad spectrum of stakeholders, from physicians to patients, that we feel are necessary for an optimal transition of AI into the clinic.
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Affiliation(s)
- Andrew Hope
- Department of Radiation Oncology, University of Toronto, Toronto, ON 5MT 1P5, Canada;
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON 5MT 1P5, Canada
| | - Maikel Verduin
- Department of Radiation Oncology (Maastro) GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, 6229 ET Maastricht, The Netherlands; (M.V.); (A.C.); (R.F.); (L.W.); (M.V.); (A.D.); (D.d.R.)
| | - Thomas J Dilling
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA;
| | - Ananya Choudhury
- Department of Radiation Oncology (Maastro) GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, 6229 ET Maastricht, The Netherlands; (M.V.); (A.C.); (R.F.); (L.W.); (M.V.); (A.D.); (D.d.R.)
| | - Rianne Fijten
- Department of Radiation Oncology (Maastro) GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, 6229 ET Maastricht, The Netherlands; (M.V.); (A.C.); (R.F.); (L.W.); (M.V.); (A.D.); (D.d.R.)
| | - Leonard Wee
- Department of Radiation Oncology (Maastro) GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, 6229 ET Maastricht, The Netherlands; (M.V.); (A.C.); (R.F.); (L.W.); (M.V.); (A.D.); (D.d.R.)
| | - Hugo JWL Aerts
- Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA 02115, USA;
- Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA
- Radiology and Nuclear Medicine, CARIM & GROW, Maastricht University, 6228 ET Maastricht, The Netherlands
| | - Issam El Naqa
- Department of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA; (I.E.N.); (R.M.)
| | - Ross Mitchell
- Department of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA; (I.E.N.); (R.M.)
| | - Marc Vooijs
- Department of Radiation Oncology (Maastro) GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, 6229 ET Maastricht, The Netherlands; (M.V.); (A.C.); (R.F.); (L.W.); (M.V.); (A.D.); (D.d.R.)
| | - Andre Dekker
- Department of Radiation Oncology (Maastro) GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, 6229 ET Maastricht, The Netherlands; (M.V.); (A.C.); (R.F.); (L.W.); (M.V.); (A.D.); (D.d.R.)
| | - Dirk de Ruysscher
- Department of Radiation Oncology (Maastro) GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, 6229 ET Maastricht, The Netherlands; (M.V.); (A.C.); (R.F.); (L.W.); (M.V.); (A.D.); (D.d.R.)
| | - Alberto Traverso
- Department of Radiation Oncology (Maastro) GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, 6229 ET Maastricht, The Netherlands; (M.V.); (A.C.); (R.F.); (L.W.); (M.V.); (A.D.); (D.d.R.)
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Monitoring DNA Damage and Repair in Peripheral Blood Mononuclear Cells of Lung Cancer Radiotherapy Patients. Cancers (Basel) 2020; 12:cancers12092517. [PMID: 32899789 PMCID: PMC7563254 DOI: 10.3390/cancers12092517] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 08/28/2020] [Accepted: 08/31/2020] [Indexed: 12/23/2022] Open
Abstract
Simple Summary Every patient responds to radiotherapy in individual manner. Some suffer severe side-effects because of normal tissue toxicity. Their radiosensitivity can be caused by inability of DNA repair system to fix radiation-induced damage. The γ-H2AX assay can detect such deficiency in untransformed primary cells (e.g., peripheral blood mononuclear cells, PBMC), over a period of only hours post ex-vivo irradiation. Earlier we have shown that the level and kinetics of decline (repair) of radiation-induced DNA damage detected by the assay is a measure of the cellular radiosensitivity. In this study, we applied the γ-H2AX assay to judge the radiosensitivity of lung cancer radiotherapy patients as normal or abnormal, based on kinetics of DNA damage repair. Considering the potential of the assay as a clinical biodosimeter, we also monitored DNA damage in serial samples of PBMC during the course of radiotherapy. This study opens an opportunity to monitor individual response to radiotherapy treatment. Abstract Thoracic radiotherapy (RT) is required for the curative management of inoperable lung cancer, however, treatment delivery is limited by normal tissue toxicity. Prior studies suggest that using radiation-induced DNA damage response (DDR) in peripheral blood mononuclear cells (PBMC) has potential to predict RT-associated toxicities. We collected PBMC from 38 patients enrolled on a prospective clinical trial who received definitive fractionated RT for non-small cell lung cancer. DDR was measured by automated counting of nuclear γ-H2AX foci in immunofluorescence images. Analysis of samples collected before, during and after RT demonstrated the induction of DNA damage in PBMC collected shortly after RT commenced, however, this damage repaired later. Radiation dose to the tumour and lung contributed to the in vivo induction of γ-H2AX foci. Aliquots of PBMC collected before treatment were also irradiated ex vivo, and γ-H2AX kinetics were analyzed. A trend for increasing of fraction of irreparable DNA damage in patients with higher toxicity grades was revealed. Slow DNA repair in three patients was associated with a combined dysphagia/cough toxicity and was confirmed by elevated in vivo RT-generated irreparable DNA damage. These results warrant inclusion of an assessment of DDR in PBMC in a panel of predictive biomarkers that would identify patients at a higher risk of toxicity.
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Śliwińska-Mossoń M, Wadowska K, Trembecki Ł, Bil-Lula I. Markers Useful in Monitoring Radiation-Induced Lung Injury in Lung Cancer Patients: A Review. J Pers Med 2020; 10:jpm10030072. [PMID: 32722546 PMCID: PMC7565537 DOI: 10.3390/jpm10030072] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/06/2020] [Accepted: 07/22/2020] [Indexed: 12/14/2022] Open
Abstract
In 2018, lung cancer was the most common cancer and the most common cause of cancer death, accounting for a 1.76 million deaths. Radiotherapy (RT) is a widely used and effective non-surgical cancer treatment that induces remission in, and even cures, patients with lung cancer. However, RT faces some restrictions linked to the radioresistance and treatment toxicity, manifesting in radiation-induced lung injury (RILI). About 30–40% of lung cancer patients will develop RILI, which next to the local recurrence and distant metastasis is a substantial challenge to the successful management of lung cancer treatment. These data indicate an urgent need of looking for novel, precise biomarkers of individual response and risk of side effects in the course of RT. The aim of this review was to summarize both preclinical and clinical approaches in RILI monitoring that could be brought into clinical practice. Next to transforming growth factor-β1 (TGFβ1) that was reported as one of the most important growth factors expressed in the tissues after ionizing radiation (IR), there is a group of novel, potential biomarkers—microRNAs—that may be used as predictive biomarkers in therapy response and disease prognosis.
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Affiliation(s)
- Mariola Śliwińska-Mossoń
- Department of Medical Laboratory Diagnostics, Division of Clinical Chemistry and Laboratory Haematology, Wroclaw Medical University, ul. Borowska 211A, 50-556 Wroclaw, Poland; (M.Ś.-M.); (I.B.-L.)
| | - Katarzyna Wadowska
- Department of Medical Laboratory Diagnostics, Division of Clinical Chemistry and Laboratory Haematology, Wroclaw Medical University, ul. Borowska 211A, 50-556 Wroclaw, Poland; (M.Ś.-M.); (I.B.-L.)
- Correspondence:
| | - Łukasz Trembecki
- Department of Radiation Oncology, Lower Silesian Oncology Center, pl. Hirszfelda 12, 53-413 Wroclaw, Poland;
- Department of Oncology, Faculty of Medicine, Wroclaw Medical University, pl. Hirszfelda 12, 53-413 Wroclaw, Poland
| | - Iwona Bil-Lula
- Department of Medical Laboratory Diagnostics, Division of Clinical Chemistry and Laboratory Haematology, Wroclaw Medical University, ul. Borowska 211A, 50-556 Wroclaw, Poland; (M.Ś.-M.); (I.B.-L.)
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Xu F, Lin H, He P, He L, Chen J, Lin L, Chen Y. A TP53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma. Oncoimmunology 2020; 9:1731943. [PMID: 32158625 PMCID: PMC7051188 DOI: 10.1080/2162402x.2020.1731943] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 12/13/2019] [Accepted: 01/09/2020] [Indexed: 02/05/2023] Open
Abstract
The tumor-suppressor gene tumor protein p53 (TP53) is one of the most commonly mutated genes in human lung cancer, and TP53 mutations are associated with a worsened prognosis and causes resistance to cancer therapy. RNA sequencing and TP53 mutation data were downloaded to determine specific TP53-associated signature based on differentially expressed genes between patients with lung squamous cell carcinoma (LUSC) with wild type (TP53 WT) and mutated (TP53MUT) TP53. We investigated the predictive value of this signature on the immune microenvironment, tumor mutational burden (TMB), and likelihood of response to immunotherapy and chemotherapy. In total, 1,556 differentially expressed genes were identified based on TP53 mutation status. Three genes (KLK6, MUC22 and CSN1S1) identified by univariate and multivariate Cox regression analyses, comprised the prognostic signature which was an independent and specific prognostic marker of overall survival in patients with LUSC. A nomogram was also established to validate this signature for clinical use. Moreover, the high-risk group was characterized by increased infiltration of monocytes and macrophages M1, and decreased T cells CD8 and T cells follicular helper. High-risk group exhibited a higher TMB, and was much more sensitive to immunotherapy and chemotherapy. KLK6 and CSN1S1 expression and the prognostic prediction values were further validated in clinical samples. The derived TP53-associated signature is a specific and independent prognostic biomarker for LUSC patients, and could provide potential prognostic biomarker or therapeutic targets for the development of novel immunotherapies and chemotherapies.
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Affiliation(s)
- Feng Xu
- Department of Respiratory Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Haoyu Lin
- Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Pei He
- Department of Reproductive Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Lulu He
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jiexin Chen
- Department of Endocrinology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Ling Lin
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Ling Lin Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, Guangdong, China
| | - Yongsong Chen
- Department of Endocrinology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- CONTACT Yongsong Chen Department of Endocrinology, The First Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, Guangdong, China
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Kong M, Lim YJ, Kim Y, Chung MJ, Min S, Shin DO, Chung W. Diabetes mellitus is a predictive factor for radiation pneumonitis after thoracic radiotherapy in patients with lung cancer. Cancer Manag Res 2019; 11:7103-7110. [PMID: 31440097 PMCID: PMC6667346 DOI: 10.2147/cmar.s210095] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 07/10/2019] [Indexed: 12/19/2022] Open
Abstract
Purpose We evaluated the effects of diabetes mellitus (DM) and DM-related serologic factors (HbA1c and fasting glucose) on the development of radiation pneumonitis in patients with lung cancer. Methods We retrospectively analyzed the clinical data of 123 patients with lung cancer treated with radiotherapy. Radiation pneumonitis was scored according to the toxicity criteria of the Radiation Therapy Oncology Group. We used binary logistic regression analysis to find significant predictive factors for the development of grade ≥3 radiation pneumonitis. Results On univariable analysis, V20, mean lung dose, DM, HbA1c, and fasting glucose level were significantly associated with the development of grade ≥3 radiation pneumonitis. On multivariable analysis, V20, mean lung dose, DM, HbA1c, and fasting glucose level remained significant predictive factors for grade ≥3 radiation pneumonitis. The incidence of grade ≥3 radiation pneumonitis was 44.4% in patients with DM and 20.7% in patients without DM. The incidence of grade ≥3 radiation pneumonitis was 12.7% for HbA1c level ≤6.15% and 41.5% for HbA1c level >6.15%. The incidence of grade ≥3 radiation pneumonitis was 17.2% for fasting glucose level ≤121 mg/dL and 35.5% for fasting glucose level >121 mg/dL. Conclusion DM, HbA1c, and fasting glucose level are significant predictive factors for the development of grade ≥3 radiation pneumonitis in patients with lung cancer. Patients with DM, patients who have HbA1c >6.15%, and patients who have fasting glucose >121 mg/dL should be treated with greater caution.
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Affiliation(s)
- Moonkyoo Kong
- Department of Radiation Oncology, Kyung Hee University Medical Center, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Yu Jin Lim
- Department of Radiation Oncology, Kyung Hee University Medical Center, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Youngkyong Kim
- Department of Radiation Oncology, Kyung Hee University Medical Center, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Mi Joo Chung
- Department of Radiation Oncology, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Soonki Min
- Department of Radiation Oncology, Kyung Hee University Medical Center, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Dong Oh Shin
- Department of Radiation Oncology, Kyung Hee University Medical Center, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Weonkuu Chung
- Department of Radiation Oncology, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Republic of Korea
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Zaorsky NG, Lee CT, Zhang E, Galloway TJ. Skin CanceR Brachytherapy vs External beam radiation therapy (SCRiBE) meta-analysis. Radiother Oncol 2018; 126:386-393. [PMID: 29370985 PMCID: PMC7548033 DOI: 10.1016/j.radonc.2017.12.029] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Revised: 12/26/2017] [Accepted: 12/27/2017] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND PURPOSE To compare cosmesis and local recurrence (LR) of definitive external beam radiation therapy (EBRT) vs brachytherapy (BT) for indolent basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) of the skin. MATERIALS AND METHODS Studies including patients with T1-2 N0 SCCs/BCCs treated with definitive EBRT/BT and ≥10 months follow-up were analyzed. The primary endpoint was post-treatment cosmesis, categorized as "good," "fair," or "poor." The secondary endpoint was LR. Mixed effects regression models were used to estimate weighted linear relationships between biologically equivalent doses with α/β = 3 (BED3) and cosmetic outcomes. RESULTS A total of 9965 patients received EBRT and 553 received BT across 24 studies. Mean age was 73 years, median follow-up was 36 months, and median dose was 45 Gy/10 fractions at 4.4 Gy/fraction. At BED3 of 100 Gy, "good" cosmesis was more frequently observed in patients receiving BT, 95% (95% CI: 88-100%) vs 79% (95% CI: 60-82%), p < 0.05. Similar results were found for "good" cosmesis at BED3 >100 Gy. No difference in "poor" cosmesis was noted at any BED3. LR was <7% for both at one year. CONCLUSION BT has favorable cosmesis over EBRT for skin SCCs/BCCs at common fractionation regimens. Prospective studies comparing EBRT vs BT are warranted.
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Affiliation(s)
- Nicholas G Zaorsky
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, USA; Department of Radiation Oncology, Penn State Cancer Institute, Hershey, USA.
| | - Charles T Lee
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, USA
| | - Eddie Zhang
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, USA
| | - Thomas J Galloway
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, USA
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Zaorsky NG, Lee CT, Zhang E, Keith SW, Galloway TJ. Hypofractionated radiation therapy for basal and squamous cell skin cancer: A meta-analysis. Radiother Oncol 2017; 125:13-20. [PMID: 28843727 PMCID: PMC7534946 DOI: 10.1016/j.radonc.2017.08.011] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Revised: 07/21/2017] [Accepted: 08/07/2017] [Indexed: 02/09/2023]
Abstract
PURPOSE To characterize the cosmetic outcomes and local recurrence (LR) rates of various hypofractionated radiation therapy (RT) regimens for skin basal and squamous cell cancers (BCCs/SCCs). METHODS A PICOS/PRISMA/MOOSE selection protocol was performed to identify 344 articles published between 1985-2016 evaluating patients with T1-2 N0 SCCs/BCCs treated with definitive RT. Biologically equivalent doses with α/β=3 (BED3s) were calculated. The primary endpoint was post-treatment cosmesis. Mixed effects regression models were used to estimate weighted linear relationships between BED3 and cosmetic outcomes. RESULTS A total of 21 studies were identified detailing the treatment of 9729 skin BCC/SCC patients, across seven countries, with external beam RT (n=9255) or brachytherapy (n=474). Median follow-up was 36months (range: 12-77). Median dose was 45Gy/11 fractions (interquartile range: 37.5Gy/6-55Gy/18) at 4Gy/fraction (interquartile range: 2.5-6Gy); most hypofractionated 18.75Gy/1. There was a trend to decreased "good" cosmesis with higher total dose: -3.4% "good" cosmesis/10Gy BED3, p=0.01. Similarly, there was a trend to increased "fair" cosmesis with higher dose: +3.8% "fair" cosmesis/10Gy BED3,p=0.006. At a BED3 of 100Gy, the expected rate of "good" cosmesis is 79% (95% confidence interval: 70%, 88%). Hypofractionated schedules produced similar cosmesis to conventionally fractionated schedules, at the same BED3. Fewer than 8% of patients experienced "poor" cosmesis, independent of dose or fractionation regimen. CONCLUSION Hypofractionated RT has favorable cosmesis for patients with skin BCCs/SCCs. We recommend clinicians consider these commonly-used regimens, which all have BED3 of ∼100Gy: 50Gy/15 fractions, 36.75Gy/7 fractions, or 35Gy/5 fractions, as they result in "good" cosmesis in 80% of patients.
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Affiliation(s)
- Nicholas G Zaorsky
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, USA; Department of Radiation Oncology, Penn State Cancer Institute, Hershey, USA.
| | - Charles T Lee
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, USA
| | - Eddie Zhang
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, USA
| | - Scott W Keith
- Department of Pharmacology and Experimental Therapeutics, Division of Biostatistics, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, USA
| | - Thomas J Galloway
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, USA.
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10
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Liu B, Tang Y, Yi M, Liu Q, Xiong H, Hu G, Yuan X. Genetic variants in the plasminogen activator inhibitor-1 gene are associated with an increased risk of radiation pneumonitis in lung cancer patients. Cancer Med 2017; 6:681-688. [PMID: 28211612 PMCID: PMC5345627 DOI: 10.1002/cam4.1011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 11/14/2016] [Accepted: 12/18/2016] [Indexed: 12/25/2022] Open
Abstract
Plasminogen activator inhibitor‐1 (PAI‐1) plays a crucial role in the process of lung injury, although its association with radiation pneumonitis (RP) is unclear. We hypothesized that genetic variants in PAI‐1 may influence the risk of RP. In this study, 169 lung cancer patients were genotyped for six single‐nucleotide polymorphisms in PAI‐1 using the Sequenom MassARRAY system. The risk of RP was evaluated by Cox proportional hazards analyses. The cumulative RP probabilities by genotype were assessed using Kaplan–Meier analyses. Univariate and multivariate analyses revealed that PAI‐1:rs7242 GT/GG was correlated with an increased occurrence of grade ≥3 RP (crude hazard ratio = 3.331; 95% confidence interval, 1.168–9.497; P = 0.024). Our results indicated that PAI‐1:rs7242 in the 3′‐untranslated region of PAI‐1 can be a predictor of grade ≥3 RP before radiotherapy.
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Affiliation(s)
- Bo Liu
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yang Tang
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Minxiao Yi
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Qingxu Liu
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Huihua Xiong
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Guangyuan Hu
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Xianglin Yuan
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
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11
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Tang Y, Liu B, Li J, Wu H, Yang J, Zhou X, Yi M, Li Q, Yu S, Yuan X. Genetic variants in PI3K/AKT pathway are associated with severe radiation pneumonitis in lung cancer patients treated with radiation therapy. Cancer Med 2015; 5:24-32. [PMID: 26645682 PMCID: PMC4708901 DOI: 10.1002/cam4.564] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2015] [Revised: 09/22/2015] [Accepted: 09/23/2015] [Indexed: 12/25/2022] Open
Abstract
PI3K/AKT pathway plays important roles in inflammatory and fibrotic diseases while its connection to radiation pneumonitis (RP) is unclear. In this study, we explored the associations of genetic variants in PI3K/AKT pathway with RP in lung cancer patients with radiotherapy. Two hundred and sixty one lung cancer patients with radiotherapy were included in this prospective study (NCT02490319) and genotyped by MassArray and Sanger Sequence methods. By multivariate Cox hazard analysis and multiple testing, GA/GG genotype of AKT2: rs33933140 (HR = 0.272, 95% CI: 0.140–0.530, P = 1.3E–4, Pc = 9.1E–4), and the GT/GG genotype of PI3CA: rs9838117 (HR = 0.132, 95% CI: 0.042–0.416, P = 0.001, Pc = 0.006) were found to be strongly associated with a decreased occurrence of RP ≥ grade 3. And patients with the CT/TT genotype of AKT2: rs11880261 had a notably higher incidence of RP ≥ grade 3 (HR = 2.950, 95% CI: 1.380–6.305, P = 0.005, Pc = 0.025). We concluded that the genetic variants of PI3K/AKT pathway were significantly related to RP of grade ≥ 3 and may thus be predictors of severe RP before radiotherapy, if further validated in larger population.
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Affiliation(s)
- Yang Tang
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Bo Liu
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Jing Li
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Huanlei Wu
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Ju Yang
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Xiao Zhou
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Mingxiao Yi
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Qianxia Li
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Shiying Yu
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Xianglin Yuan
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
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12
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Shao W, Chen H, He J. The role of SOX-2 on the survival of patients with non-small cell lung cancer. J Thorac Dis 2015; 7:1113-8. [PMID: 26380725 DOI: 10.3978/j.issn.2072-1439.2015.07.14] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Accepted: 07/05/2015] [Indexed: 11/14/2022]
Abstract
BACKGROUND Lung cancer is the most commonly diagnosed cancer as well as the leading cause of cancer death worldwide. Observational studies on the prognostic role of SOX-2 in non-small-cell lung cancer (NSCLC) are controversial. METHODS To clarify the impact of SOX-2 in NSCLC survival, we performed this meta-analysis that included eligible studies. The combined hazard ratios and their corresponding 95% confidence intervals (95% CI) were calculated in terms of overall survival. RESULTS A total of seven studies with 1,944 patients were evaluable for this meta-analysis. The studies were categorized by histology, disease stage and patient race. Our results suggested that SOX-2 overexpression had a favorable impact on survival of patients with NSCLC, the HR (95% CI) was 0.57 (0.48 to 0.65). However, highly significant heterogeneity was detected among these studies (I(2)=76.7%, P=0.000). CONCLUSIONS SOX-2 overexpression indicates a favorable prognosis for patients with NSCLC.
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Affiliation(s)
- Wenlong Shao
- 1 Department of Cardiothoracic Surgery, 2 State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China ; 3 Key Cite of National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Hanzhang Chen
- 1 Department of Cardiothoracic Surgery, 2 State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China ; 3 Key Cite of National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Jianxing He
- 1 Department of Cardiothoracic Surgery, 2 State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China ; 3 Key Cite of National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
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13
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Li S, Wang L, Ma Z, Ma Y, Zhao J, Peng BO, Qiao Z. Sequencing study on familial lung squamous cancer. Oncol Lett 2015; 10:2634-2638. [PMID: 26622902 DOI: 10.3892/ol.2015.3583] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Accepted: 07/07/2015] [Indexed: 12/30/2022] Open
Abstract
Lung cancer is the leading cause of cancer-related mortality worldwide. The majority of lung cancers are sporadic, and familial cases are extremely rare. Previous studies have mainly focused on sporadic lung cancer and identified a large quantity of driver genes. However, familial lung cancers are rarer and studied less. The present study recruited a Chinese family in which multiple members had developed lung squamous carcinoma. To find the causative mutations, whole exome sequencing was conducted using a peripheral blood sample of one lung squamous carcinoma patient, and certain variants were validated in more samples. Whole exome sequencing analysis obtained ~2.0 Gb of data (an average of 60x depth for each targeted base), and further validation experiments identified two functional variants in two cancer-related genes (c.1218delA:p.E406fs in PDE4DIP and C1342A:p.L448I in CLTCL1). This study therefore provides useful sources for the further study of hereditary lung cancer.
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Affiliation(s)
- Shaomin Li
- Department of Thoracic Surgery, Second Affiliated Hospital, Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, P.R. China
| | - Lina Wang
- Department of Emergency, Second Affiliated Hospital, Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, P.R. China
| | - Zhenchuan Ma
- Department of Thoracic Surgery, Second Affiliated Hospital, Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, P.R. China
| | - Yuefeng Ma
- Department of Thoracic Surgery, Second Affiliated Hospital, Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, P.R. China
| | - Jiangman Zhao
- Zhangjiang Center for Translational Medicine, Shanghai 201203, P.R. China
| | - B O Peng
- Zhangjiang Center for Translational Medicine, Shanghai 201203, P.R. China
| | - Zhe Qiao
- Department of Thoracic Surgery, Second Affiliated Hospital, Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, P.R. China
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14
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Inoue T, Shiomi H, Oh RJ. Stereotactic body radiotherapy for Stage I lung cancer with chronic obstructive pulmonary disease: special reference to survival and radiation-induced pneumonitis. JOURNAL OF RADIATION RESEARCH 2015; 56:727-34. [PMID: 25887042 PMCID: PMC4497392 DOI: 10.1093/jrr/rrv019] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Revised: 02/27/2015] [Accepted: 03/10/2015] [Indexed: 06/04/2023]
Abstract
This retrospective study aimed to evaluate radiation-induced pneumonitis (RIP) and a related condition that we define in this report--prolonged minimal RIP (pmRIP)--after stereotactic body radiotherapy (SBRT) for Stage I primary lung cancer in patients with chronic obstructive pulmonary disease (COPD). We assessed 136 Stage I lung cancer patients with COPD who underwent SBRT. Airflow limitation on spirometry was classified into four Global Initiative for Chronic Obstructive Lung Disease (GOLD) grades, with minor modifications: GOLD 1 (mild), GOLD 2 (moderate), GOLD 3 (severe) and GOLD 4 (very severe). On this basis, we defined two subgroups: COPD-free (COPD -) and COPD-positive (COPD +). There was no significant difference in overall survival or cause-specific-survival between these groups. Of the 136 patients, 44 (32%) had pmRIP. Multivariate analysis showed that COPD and the Brinkman index were statistically significant risk factors for the development of pmRIP. COPD and the Brinkman index were predictive factors for pmRIP, although our findings also indicate that SBRT can be tolerated in early lung cancer patients with COPD.
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Affiliation(s)
- Toshihiko Inoue
- Miyakojima IGRT Clinic, 1-6-22 Miyakojima Hondori, Miyakojima-ku, Osaka, 534-0021, Japan
| | - Hiroya Shiomi
- Miyakojima IGRT Clinic, 1-6-22 Miyakojima Hondori, Miyakojima-ku, Osaka, 534-0021, Japan
| | - Ryoong-Jin Oh
- Miyakojima IGRT Clinic, 1-6-22 Miyakojima Hondori, Miyakojima-ku, Osaka, 534-0021, Japan
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15
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Gomez-Casal R, Bhattacharya C, Epperly MW, Basse PH, Wang H, Wang X, Proia DA, Greenberger JS, Socinski MA, Levina V. The HSP90 Inhibitor Ganetespib Radiosensitizes Human Lung Adenocarcinoma Cells. Cancers (Basel) 2015; 7:876-907. [PMID: 26010604 PMCID: PMC4491689 DOI: 10.3390/cancers7020814] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Accepted: 05/12/2015] [Indexed: 12/25/2022] Open
Abstract
The molecular chaperone HSP90 is involved in stabilization and function of multiple client proteins, many of which represent important oncogenic drivers in NSCLC. Utilization of HSP90 inhibitors as radiosensitizing agents is a promising approach. The antitumor activity of ganetespib, HSP90 inhibitor, was evaluated in human lung adenocarcinoma (AC) cells for its ability to potentiate the effects of IR treatment in both in vitro and in vivo. The cytotoxic effects of ganetespib included; G2/M cell cycle arrest, inhibition of DNA repair, apoptosis induction, and promotion of senescence. All of these antitumor effects were both concentration- and time-dependent. Both pretreatment and post-radiation treatment with ganetespib at low nanomolar concentrations induced radiosensitization in lung AC cells in vitro. Ganetespib may impart radiosensitization through multiple mechanisms: such as down regulation of the PI3K/Akt pathway; diminished DNA repair capacity and promotion of cellular senescence. In vivo, ganetespib reduced growth of T2821 tumor xenografts in mice and sensitized tumors to IR. Tumor irradiation led to dramatic upregulation of β-catenin expression in tumor tissues, an effect that was mitigated in T2821 xenografts when ganetespib was combined with IR treatments. These data highlight the promise of combining ganetespib with IR therapies in the treatment of AC lung tumors.
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Affiliation(s)
- Roberto Gomez-Casal
- The University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA.
- Department of Medicine, The University of Pittsburgh, Pittsburgh, PA 15213, USA.
| | - Chitralekha Bhattacharya
- The University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA.
- Department of Medicine, The University of Pittsburgh, Pittsburgh, PA 15213, USA.
| | - Michael W Epperly
- The University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA.
- Department of Radiation Oncology, The University of Pittsburgh, Pittsburgh, PA 15213, USA.
| | - Per H Basse
- The University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA.
- Department of Immunology, The University of Pittsburgh, Pittsburgh, PA 15213, USA.
| | - Hong Wang
- The University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA.
- Department of Biostatistics, The University of Pittsburgh, Pittsburgh, PA 15213, USA.
| | - Xinhui Wang
- Harvard Medical School, Harvard University, 25 Shattuck Street, Boston, MA 02115, USA.
| | - David A Proia
- Synta Pharmaceuticals Corp., 45 Hartwell Avenue, Lexington, MA 02421, USA.
| | - Joel S Greenberger
- The University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA.
- Department of Radiation Oncology, The University of Pittsburgh, Pittsburgh, PA 15213, USA.
| | - Mark A Socinski
- The University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA.
- Department of Medicine, The University of Pittsburgh, Pittsburgh, PA 15213, USA.
| | - Vera Levina
- The University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA.
- Department of Medicine, The University of Pittsburgh, Pittsburgh, PA 15213, USA.
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16
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Analysis of chromosome 17 miRNAs and their importance in medulloblastomas. BIOMED RESEARCH INTERNATIONAL 2015; 2015:717509. [PMID: 25866804 PMCID: PMC4383152 DOI: 10.1155/2015/717509] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2014] [Revised: 11/16/2014] [Accepted: 11/16/2014] [Indexed: 12/19/2022]
Abstract
MicroRNAs (miRNAs) are small sequences of nucleotides that regulate posttranscriptionally gene expression. In recent years they have been recognized as very important general regulators of proliferation, differentiation, adhesion, cell death, and others. In some cases, the characteristic presence of miRNAs reflects some of the cellular pathways that may be altered. Particularly medulloblastomas (MB) represent entities that undergo almost characteristic alterations of chromosome 17: from loss of discrete fragments and isochromosomes formation to complete loss of one of them. An analysis of the major loci on this chromosome revealed that it contains at least 19 genes encoding miRNAs which may regulate the development and differentiation of the brain and cerebellum. miRNAs are regulators of real complex networks; they can regulate from 100 to over 300 messengers of various proteins. In this review some miRNAs are considered to be important in MB studies. Some of them are miRNA-5047, miRNA-1253, miRNA-2909, and miRNA-634. Everyone can significantly affect the development, growth, and cell invasion of MB, and they have not been explored in this tumor. In this review, we propose some miRNAs that can affect some genes in MB, and hence the importance of its study.
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17
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Woods NT, Monteiro AN, Thompson ZJ, Amankwah EK, Naas N, Haura EB, Beg AA, Schabath MB. Interleukin polymorphisms associated with overall survival, disease-free survival, and recurrence in non-small cell lung cancer patients. Mol Carcinog 2015; 54 Suppl 1:E172-84. [PMID: 25597281 DOI: 10.1002/mc.22275] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2014] [Revised: 11/24/2014] [Accepted: 12/01/2014] [Indexed: 01/15/2023]
Abstract
Biomarkers based on germline DNA variations could have translational implications by identifying prognostic factors and sub-classifying patients to tailored, patient-specific treatment. To investigate the association between germline variations in interleukin (IL) genes and lung cancer outcomes, we genotyped 251 single nucleotide polymorphisms (SNPs) from 33 different IL genes in 651 non-small cell lung cancer (NSCLC) patients. Analyses were performed to investigate overall survival, disease-free survival, and recurrence. Our analyses revealed 24 different IL SNPs significantly associated with one or more of the lung cancer outcomes of interest. The GG genotype of IL16:rs7170924 was significantly associated with disease-free survival (HR = 0.65; 95% CI 0.50-0.83) and was the only SNP that produced a false discovery rate (FDR) of modest confidence that the association is unlikely to represent a false-positive result (FDR = 0.142). Classification and regression tree (CART) analyses were used to identify potential higher-order interactions. We restricted the CART analyses to the five SNPs that were significantly associated with multiple endpoints (IL1A:rs1800587, IL1B:rs1143634, IL8:s12506479, IL12A:rs662959, and IL13:rs1881457) and IL16:rs7170924 which had the lowest FDR. CART analyses did not yield a tree structure for overall survival; separate CART tree structures were identified for recurrence, based on three SNPs (IL13:rs1881457, IL1B:rs1143634, and IL12A:rs662959), and for disease-free survival, based on two SNPs (IL12A:rs662959 and IL16:rs7170924), which may suggest that these candidate IL SNPs have a specific impact on lung cancer progression and recurrence. These data suggest that germline variations in IL genes are associated with clinical outcomes in NSCLC patients.
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Affiliation(s)
- Nicholas T Woods
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida.,Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Florida
| | - Alvaro N Monteiro
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida.,Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Florida
| | - Zachary J Thompson
- Department of Biostatistics Bioinformatics, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida
| | - Ernest K Amankwah
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida
| | - Nina Naas
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida
| | - Eric B Haura
- Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Florida.,Department of Thoracic Oncology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida
| | - Amer A Beg
- Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Florida.,Department of Immunology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida.,Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Florida
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