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Alsavaf MB, Abouammo MD, Bhuskute GS, Sun S, Issa M, Seim NB, VanKoevering KK, Bhateja P, Bonomi M, Carrau RL. Effectiveness of Nasolacrimal SCC Treatments and Promising Role of Chemo-Induction: A Case Report and Systematic Review. Laryngoscope 2024. [PMID: 38651346 DOI: 10.1002/lary.31426] [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: 10/28/2023] [Revised: 02/29/2024] [Accepted: 03/19/2024] [Indexed: 04/25/2024]
Abstract
OBJECTIVE To comprehensively analyze reported cases of nasolacrimal squamous cell carcinoma (NLSCC), focusing on risk factors, treatment modalities, and outcomes. Additionally, investigate the impact of human Papillomavirus (HPV) status and histopathological subtypes' impact on prognosis. DATA SOURCES Pubmed, Embase. REVIEW METHODS We conducted a systematic literature review to identify relevant studies reporting cases of NLSCC. The review methods adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The final update was performed on May 31, 2023. RESULTS The 72 studies included a total of 313 participants (mean age: 55; 60% male). Longer symptom duration (44.1 ± 59.2 months) correlated with recurrence (p = 0.004), and males exhibited higher mortality rates (19.6% vs. 2.4% in females, p = 0.01). The overall survival (OS) rate among all patients was 87.1%. Basaloid NLSCC had a worse death outcome (p ≤ 0.001). HPV-positive cases showed comparable OS, recurrence, and metastasis rates to the general population (p = 0.917, 0.851, 0.07, respectively). Comparing treatment approaches (surgery, surgery with adjuvant radiation, chemoradiotherapy [CRT] followed by surgery), no significant differences in 5 and 10-year OS rates or recurrence were observed (p = 0.4, 0.24, respectively), but 5-year metastasis events were significant (p = 0.024). Eye exenteration rates were 31.1%, 20%, and 0% for the respective treatments (p = 0.089). Induction chemotherapy saved four cases from potential exenteration with favorable prognosis. CONCLUSION Early detection and diagnosis are of utmost importance in the management of NLSCC. Regardless of the treatment approach, HPV-related NLSCC demonstrated similar outcomes to the general population. Basaloid histology represents the worst subtype in terms of prognosis. Limited adjuvant CRT cases showed improved outcomes and induction chemotherapy's importance was emphasized in recent literature and our shared experience. Laryngoscope, 2024.
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Affiliation(s)
- Mohammad Bilal Alsavaf
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, U.S.A
| | - Moataz D Abouammo
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, U.S.A
- Department of Otolaryngology-Head and Neck Surgery, Tanta University, Tanta, Egypt
| | - Govind S Bhuskute
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, U.S.A
| | - Shuai Sun
- Department of Public Health, The Ohio State University, Columbus, Ohio, U.S.A
| | - Majd Issa
- Internal Medicine, Division of Medical Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, U.S.A
| | - Nolan B Seim
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, U.S.A
| | - Kyle K VanKoevering
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, U.S.A
| | - Priyanka Bhateja
- Internal Medicine, Division of Medical Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, U.S.A
| | - Marcelo Bonomi
- Internal Medicine, Division of Medical Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, U.S.A
| | - Ricardo L Carrau
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, U.S.A
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Wang P, Wang X, Zhang M, Li G, Zhao N, Qiao Q. Combining the radiomics signature and HPV status for the risk stratification of patients with OPC. Oral Dis 2024; 30:272-280. [PMID: 36135344 DOI: 10.1111/odi.14386] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 09/01/2022] [Accepted: 09/08/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVE The objective was to perform risk stratification of oropharyngeal cancer (OPC) for treatment de-escalation based on the radiomics analysis and human papillomavirus (HPV) status. METHODS A total of 265 patients with OPC who underwent baseline contrast-enhanced computed tomography were analyzed, and the patients were grouped into the training (n = 133) and test (n = 132) cohorts at a ratio of 1:1. Intratumoral and peritumoral radiomics features were extracted, and the radiomics signature (Rscore) was calculated using least absolute shrinkage and selection operator regression (LASSO) and Cox regression analyses. RESULTS Twelve features were selected to establish the radiomics signature (Rscore) of intratumoral regions +10-mm peritumoral regions, which yielded maximum AUCs of 0.835, 0.798, and 0.784 in the training, test, and validation cohorts, respectively. Patients with OPC were divided into the high-risk group, intermediate-risk group, and low-risk group based on the Rscore and HPV status and had different prognoses. Patients in the low-risk group benefit from radiotherapy alone, and patients in the intermediate-risk group only benefitted from chemoradiotherapy. CONCLUSION The radiomics signature appears to improve the predictive performance of clinical characteristics for oropharyngeal cancer. The combined stratification of the radiomics signature and HPV status might be preferred to select patients for de-escalated treatment.
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Affiliation(s)
- Ping Wang
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Xuan Wang
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Miao Zhang
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Guang Li
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Ning Zhao
- Department of Otolaryngology, The First Hospital of China Medical University, Shenyang, China
| | - Qiao Qiao
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
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Grottker F, Gehre S, Reichardt CM, Sengedorj A, Jost T, Rieckmann T, Hecht M, Gostian AO, Frey B, Fietkau R, Gaipl US, Rückert M. Radiotherapy combined with docetaxel alters the immune phenotype of HNSCC cells and results in increased surface expression of CD137 and release of HMGB1 of specifically HPV-positive tumor cells. Neoplasia 2023; 45:100944. [PMID: 37857049 PMCID: PMC10589749 DOI: 10.1016/j.neo.2023.100944] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 10/13/2023] [Accepted: 10/13/2023] [Indexed: 10/21/2023]
Abstract
PURPOSE Human papilloma virus (HPV) positive head and neck squamous cell carcinoma (HNSCC) tumors respond significantly better to anticancer treatments. It is assumed to be due to a better response to radiotherapy (RT), and presumably to an increased immunogenicity. However, little is known how the immune phenotype of HNSCC tumor cells is modulated by standard treatment, namely by radiochemotherapy (RCT). METHODS Therefore, we aimed to examine the impact of the HPV status on the immune phenotype of HNSCC cell lines following RCT with 5 × 3Gy or 1 × 19.3Gy and/or docetaxel, by analyzing cell death, release of damage-associated molecular patterns (DAMPs), surface expression of immune checkpoint molecules (ICMs) and the impact on activation of human monocyte-derived dendritic cells (hmDCs). RESULTS Cell death induction and Hsp70 release following RCT was independent of the HPV status, and RCT significantly increased the expression of the immune suppressive ICMs PD-L1, PD-L2 and HVEM. An immune stimulatory ICM, CD137, was significantly increased following RCT only on HPV-positive cell lines, as well as the release of HMGB1. Although the treatment increased cell death and modulated ICM expression in HNSCC, the hmDCs were not activated after co-incubation with treated tumor cells. CONCLUSION Our data with the HPV-dependent release of HMGB1 and increased expression of CD137 following RCT provide a hint for increased immunogenicity underlining the better prognosis for HPV positive tumors following RCT.
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Affiliation(s)
- Fridolin Grottker
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
| | - Simon Gehre
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
| | - Clara M Reichardt
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
| | - Azzaya Sengedorj
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
| | - Tina Jost
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Thorsten Rieckmann
- Laboratory of Radiobiology & Experimental Radiation Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Otorhinolaryngology, University Medical Center Hamburg Eppendorf, Germany
| | - Markus Hecht
- Department of Radiotherapy and Radiation Oncology, Saarland University Medical Center, Homburg, Germany
| | - Antoniu-Oreste Gostian
- Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany; Department of Otorhinolaryngology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Clinic for Otorhinolaryngology, Head and Neck Surgery and Facial Plastic Surgery, Klinikum Straubing, Germany
| | - Benjamin Frey
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Rainer Fietkau
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Udo S Gaipl
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany.
| | - Michael Rückert
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
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van der Hulst HJ, Jansen RW, Vens C, Bos P, Schats W, de Jong MC, Martens RM, Bodalal Z, Beets-Tan RGH, van den Brekel MWM, de Graaf P, Castelijns JA. The Prediction of Biological Features Using Magnetic Resonance Imaging in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis. Cancers (Basel) 2023; 15:5077. [PMID: 37894447 PMCID: PMC10605807 DOI: 10.3390/cancers15205077] [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: 08/18/2023] [Revised: 10/13/2023] [Accepted: 10/17/2023] [Indexed: 10/29/2023] Open
Abstract
Magnetic resonance imaging (MRI) is an indispensable, routine technique that provides morphological and functional imaging sequences. MRI can potentially capture tumor biology and allow for longitudinal evaluation of head and neck squamous cell carcinoma (HNSCC). This systematic review and meta-analysis evaluates the ability of MRI to predict tumor biology in primary HNSCC. Studies were screened, selected, and assessed for quality using appropriate tools according to the PRISMA criteria. Fifty-eight articles were analyzed, examining the relationship between (functional) MRI parameters and biological features and genetics. Most studies focused on HPV status associations, revealing that HPV-positive tumors consistently exhibited lower ADCmean (SMD: 0.82; p < 0.001) and ADCminimum (SMD: 0.56; p < 0.001) values. On average, lower ADCmean values are associated with high Ki-67 levels, linking this diffusion restriction to high cellularity. Several perfusion parameters of the vascular compartment were significantly associated with HIF-1α. Analysis of other biological factors (VEGF, EGFR, tumor cell count, p53, and MVD) yielded inconclusive results. Larger datasets with homogenous acquisition are required to develop and test radiomic-based prediction models capable of capturing different aspects of the underlying tumor biology. Overall, our study shows that rapid and non-invasive characterization of tumor biology via MRI is feasible and could enhance clinical outcome predictions and personalized patient management for HNSCC.
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Affiliation(s)
- Hedda J. van der Hulst
- Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, University of Maastricht, 6211 LK Maastricht, The Netherlands
| | - Robin W. Jansen
- Department of Otolaryngology and Head & Neck Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, 1081 HV Amsterdam, The Netherlands
| | - Conchita Vens
- Department of Otolaryngology and Head & Neck Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands
- School of Cancer Science, University of Glasgow, Glasgow G61 1QH, UK
| | - Paula Bos
- Department of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Winnie Schats
- Scientific Information Service, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Marcus C. de Jong
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, 1081 HV Amsterdam, The Netherlands
| | - Roland M. Martens
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, 1081 HV Amsterdam, The Netherlands
| | - Zuhir Bodalal
- Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, University of Maastricht, 6211 LK Maastricht, The Netherlands
| | - Regina G. H. Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, University of Maastricht, 6211 LK Maastricht, The Netherlands
- Department of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark
| | - Michiel W. M. van den Brekel
- Department of Otolaryngology and Head & Neck Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands
- Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Department of Otolaryngology and Head & Neck Surgery, Amsterdam UMC Location University of Amsterdam, 1081 HZ Amsterdam, The Netherlands
| | - Pim de Graaf
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, 1081 HV Amsterdam, The Netherlands
| | - Jonas A. Castelijns
- Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
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Song C, Chen X, Tang C, Xue P, Jiang Y, Qiao Y. Artificial intelligence for HPV status prediction based on disease-specific images in head and neck cancer: A systematic review and meta-analysis. J Med Virol 2023; 95:e29080. [PMID: 37691329 DOI: 10.1002/jmv.29080] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 07/14/2023] [Accepted: 08/03/2023] [Indexed: 09/12/2023]
Abstract
Accurate early detection of the human papillomavirus (HPV) status in head and neck cancer (HNC) is crucial to identify at-risk populations, stratify patients, personalized treatment options, and predict prognosis. Artificial intelligence (AI) is an emerging tool to dissect imaging features. This systematic review and meta-analysis aimed to evaluate the performance of AI to predict the HPV positivity through the HPV-associated diseased images in HNC patients. A systematic literature search was conducted in databases including Ovid-MEDLINE, Embase, and Web of Science Core Collection for studies continuously published from inception up to October 30, 2022. Search strategies included keywords such as "artificial intelligence," "head and neck cancer," "HPV," and "sensitivity & specificity." Duplicates, articles without HPV predictions, letters, scientific reports, conference abstracts, or reviews were excluded. Binary diagnostic data were then extracted to generate contingency tables and then used to calculate the pooled sensitivity (SE), specificity (SP), area under the curve (AUC), and their 95% confidence interval (CI). A random-effects model was used for meta-analysis, four subgroup analyses were further explored. Totally, 22 original studies were included in the systematic review, 15 of which were eligible to generate 33 contingency tables for meta-analysis. The pooled SE and SP for all studies were 79% (95% CI: 75-82%) and 74% (95% CI: 69-78%) respectively, with an AUC of 0.83 (95% CI: 0.79-0.86). When only selecting one contingency table with the highest accuracy from each study, our analysis revealed a pooled SE of 79% (95% CI: 75-83%), SP of 75% (95% CI: 69-79%), and an AUC of 0.84 (95% CI: 0.81-0.87). The respective heterogeneities were moderate (I2 for SE and SP were 51.70% and 51.01%) and only low (35.99% and 21.44%). This evidence-based study showed an acceptable and promising performance for AI algorithms to predict HPV status in HNC but was not comparable to the routine p16 immunohistochemistry. The exploitation and optimization of AI algorithms warrant further research. Compared with previous studies, future studies anticipate to make progress in the selection of databases, improvement of international reporting guidelines, and application of high-quality deep learning algorithms.
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Affiliation(s)
- Cheng Song
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xu Chen
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chao Tang
- Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China
| | - Peng Xue
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Youlin Qiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Li H, Zhang X, Chen W, Zhang Q, Li Q, Chen S, Yang Z, Su X, Yan S, Yang A, Song M. Analysis of T1-T2 stage oropharyngeal squamous cell carcinoma treated with transoral robotic surgery. Laryngoscope Investig Otolaryngol 2023; 8:103-112. [PMID: 36846425 PMCID: PMC9948596 DOI: 10.1002/lio2.1005] [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] [Received: 08/10/2022] [Revised: 11/07/2022] [Accepted: 11/15/2022] [Indexed: 01/12/2023] Open
Abstract
Objective Transoral robotic surgery (TORS) has become an effective treatment for early-stage oropharyngeal squamous cell carcinomas (OPSCCs). We aimed to analyze the clinical safety and efficacy of TORS for human papilloma virus (HPV)-positive and HPV-negative OPSCC in China. Methods Patients with OPSCC of pT1-T2 stage who underwent TORS from March 2017 to December 2021 were analyzed. Results A total of 83 patients (HPV-positive, n = 25; HPV-negative, n = 58) were included. The median age of the patients was 57.0 years and 71 were men. The majority of primary tumor sites were palatine tonsils (52, 62.7%) and base of tongues (20, 24.1%). Three patients have a positive margin. A total of 12 (14.5%) patients received tracheotomies, the average duration of tracheostomy tube use was 9.4 days, and nasogastric tube was 14.5 days. No patient had a long-term tracheotomy. The 3-year overall survival (OS), disease-free survival (DFS), and recurrence-free survival (RFS) for all 83 patients were 89.5%, 80.1%, and 83.3%, respectively. The OS at 3 years between the HPV-positive group and HPV-negative group were 100% versus 84.3% (P = .07), while the DFS and RFS between two groups also showed no significant difference. Among multivariate cox regression analysis of all potential risk factors, smoking was the significant risk factors for disease recurrence (P < .05). Conclusion Transoral robotic surgery achieved encouraging oncologic outcomes and safety in T1-T2 stage OPSCC treatment, regardless of HPV status. Level of Evidence 4.
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Affiliation(s)
- Hui Li
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Xing Zhang
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Wenkuan Chen
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Quan Zhang
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Qiuli Li
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Shuwei Chen
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Zhongyuan Yang
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Xuan Su
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Shida Yan
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Ankui Yang
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Ming Song
- Collaborative Innovation Center for Cancer MedicineState Key Laboratory of Oncology in South China, Sun Yat‐sen University Cancer CenterGuangzhouChina,Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouChina
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Doerstling S, Winski D, Katsoulakis E, Agarwal P, Poonnen PJ, Snowdon JL, Jackson GP, Weeraratne D, Kelley MJ, Vashistha V. Mutational profiles of head and neck squamous cell carcinomas based upon human papillomavirus status in the Veterans Affairs National Precision Oncology Program. J Cancer Res Clin Oncol 2023; 149:69-77. [PMID: 36117189 DOI: 10.1007/s00432-022-04358-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 09/12/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Patients with advanced head and neck squamous cell carcinoma (HNSCC) associated with human papillomavirus (HPV) demonstrate favorable clinical outcomes compared to patients bearing HPV-negative HNSCC. We sought to characterize the association between HPV status and mutational profiles among patients served by the Veterans Health Administration (VHA). METHODS We performed a retrospective analysis of all Veterans with primary HNSCC tumors who underwent next-generation sequencing (NGS) through the VHA's National Precision Oncology Program between July 2016 and February 2019. HPV status was determined by clinical pathology reports of p16 immunohistochemical staining; gene variant pathogenicity was classified using OncoKB, an online precision oncology knowledge database, and mutation frequencies were compared using Fisher's exact test. RESULTS A total of 79 patients met inclusion criteria, of which 48 (60.8%) had p16-positive tumors. Patients with p16-negative HNSCC were more likely to have mutations in TP53 (p < 0.0001), and a trend towards increased mutation frequency was observed within NOTCH1 (p = 0.032) and within the composite CDK/Rb pathway (p = 0.065). Mutations in KRAS, NRAS, HRAS, and FBXW7 were exclusively identified within p16-positive tumors, and a trend towards increased frequency was observed within the PI3K pathway (p = 0.051). No difference in overall mutational burden was observed between the two groups. CONCLUSIONS In accordance with the previous studies, no clear molecular basis for improved prognosis among patients harboring HPV-positive disease has been elucidated. Though no targeted therapies are approved based upon HPV-status, current efforts to trial PI3K inhibitors and mTOR inhibitors across patients with HPV-positive disease bear genomic rationale based upon the current findings.
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Hu Q, Wang Y, Zhang Y, Ge Y, Yin Y, Zhu H. A New HPV score System Predicts the Survival of Patients With Cervical Cancers. Front Genet 2021; 12:747090. [PMID: 34925445 PMCID: PMC8672055 DOI: 10.3389/fgene.2021.747090] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 11/15/2021] [Indexed: 12/24/2022] Open
Abstract
Persistent high-risk human papillomavirus (hrHPV) infection is confirmed as the major cause of cervical cancer. According to the HPV infection status, cervical cancer could be generalized as following three subgroups: HPV-negative, pure HPV-infection, and HPV-integration. Currently, the impact of HPV status on cervical cancer prognosis remains under dispute. Therefore, we explored the potential correlation between HPV status and the clinical outcome of cervical cancer, by establishing a robust prognostic predicting model based on a cervical cancer cohort using The Cancer Genome Atlas (TCGA) database. We performed an iCluster algorithm incorporating DNA copy number variation, SNP, DNA methylation, mRNA expression, and miRNA expression profile together and classified the cohort into three clusters. According to defined clusters, we established an HPV score system by weighing resultant gene alterations through random forest and COX models. This prediction tool could help to identify cervical cancer prognosis through evaluating individual HPV infection status and subsequent genetic modification, which might provide insights into HPV-related gene driven cervical cancer treatment strategies, yet its predictive power and robustness need to be further verified with independent cohorts.
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Affiliation(s)
- Qunchao Hu
- Department of Radiation Oncology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yani Wang
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yuchen Zhang
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yanjun Ge
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yihua Yin
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Haiyan Zhu
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
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9
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Kutz LM, Abel J, Schweizer D, Tribius S, Krüll A, Petersen C, Löser A. Quality of life, HPV-status and phase angle predict survival in head and neck cancer patients under (chemo)radiotherapy undergoing nutritional intervention: Results from the prospective randomized HEADNUT-trial. Radiother Oncol 2021; 166:145-153. [PMID: 34838889 DOI: 10.1016/j.radonc.2021.11.011] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 11/14/2021] [Accepted: 11/17/2021] [Indexed: 12/28/2022]
Abstract
PURPOSE To analyze the impact of quality of life (QoL), nutritional and clinical indicators on overall survival in patients with head and neck squamous cell cancer (HNSCC) undergoing (chemo)radiotherapy. MATERIALS AND METHODS At the beginning, at the end of (chemo)radiotherapy and during follow-up, QoL was prospectively assessed using the EORTC-QLQ-C30 and -QLQ-H&N35 questionnaires. Data were analyzed in 58 out of 220 screened patients, who were randomized into a control and intervention group. All patients received a nutritional assessment including bioelectrical impedance analysis (BIA), laboratory testing, and a screening for malnutrition based on the questionnaires MUST, NRS-2002 and Nutriscore at baseline and at the end of therapy. The intervention consisted of an individualized nutritional counseling every 2 weeks. RESULTS Except for emotional functioning, dyspnea, financial difficulties, dental problems and weight gain, all other scales from the EORTC-QLQ-C30 and -H&N35 deteriorated during (chemo)radiotherapy. At first follow-up, patients of the control group experienced more nausea and vomiting compared to those of the intervention group (p = 0.02). After performing a multivariable model, dental problems at the end of therapy (HR: 1.03; 95% CI: 1-1.06; p = 0.03), HPV negativity (HR: 18.19, 95% CI: 1.61-204.17; p = 0.02), and baseline phase angle (HR: 0.09; 95% CI: 0.01-0.82; p = 0.03) were identified as predictors for overall survival. CONCLUSIONS Factors influencing overall survival in patients with HNSCC undergoing (chemo)radiotherapy are complex and multifactorial. We were able to identify QoL-related (dental problems), clinical (HPV status) and nutritional (phase angle) factors as negative predictors for survival. This study was registered within the German Clinical Trials Register (DRKS00016862).
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Affiliation(s)
- Laura Magdalena Kutz
- University Medical Center Hamburg-Eppendorf, Outpatient Center of the UKE GmbH, Department of Radiotherapy and Radiation Oncology, Hamburg, Germany
| | - Jakob Abel
- University Medical Center Hamburg-Eppendorf, Outpatient Center of the UKE GmbH, Department of Radiotherapy and Radiation Oncology, Hamburg, Germany
| | - Diana Schweizer
- University Medical Center Hamburg-Eppendorf, Institute of Medical Biometry and Epidemiology, Germany
| | - Silke Tribius
- Asklepios Hospital St. Georg, Hermann Holthusen Institute for Radiation Oncology, Hamburg, Germany
| | - Andreas Krüll
- University Medical Center Hamburg-Eppendorf, Outpatient Center of the UKE GmbH, Department of Radiotherapy and Radiation Oncology, Hamburg, Germany; University Medical Center Hamburg-Eppendorf, Department of Radiotherapy and Radiation Oncology, Germany
| | - Cordula Petersen
- University Medical Center Hamburg-Eppendorf, Outpatient Center of the UKE GmbH, Department of Radiotherapy and Radiation Oncology, Hamburg, Germany; University Medical Center Hamburg-Eppendorf, Department of Radiotherapy and Radiation Oncology, Germany
| | - Anastassia Löser
- University Medical Center Hamburg-Eppendorf, Outpatient Center of the UKE GmbH, Department of Radiotherapy and Radiation Oncology, Hamburg, Germany.
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10
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Wimmer S, Deloch L, Hader M, Derer A, Grottker F, Weissmann T, Hecht M, Gostian AO, Fietkau R, Frey B, Gaipl US. Hypofractionated Radiotherapy Upregulates Several Immune Checkpoint Molecules in Head and Neck Squamous Cell Carcinoma Cells Independently of the HPV Status While ICOS-L Is Upregulated Only on HPV-Positive Cells. Int J Mol Sci 2021; 22:ijms22179114. [PMID: 34502022 PMCID: PMC8430967 DOI: 10.3390/ijms22179114] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 08/11/2021] [Accepted: 08/20/2021] [Indexed: 12/21/2022] Open
Abstract
While the treatment of squamous cell carcinoma of the head and neck (HNSCC) with radiotherapy (RT) is complemented more and more by immunotherapy in clinical trials, little is known about the impact of the human papillomavirus (HPV) status or the applied RT scheme on the immune phenotype of the tumor cells. Therefore, we aimed to examine the impact of the HPV status of four human HNSCC cell lines on cell death and the expression of immune checkpoint molecules (ICMs) after RT with either hypofractionation irradiation (5x3.0Gy) or a high single dose (1x19.3Gy) via multicolor flow cytometry and quantitative PCR at an early time point after therapy. In our study, 5x3.0Gy RT induced high numbers of early and late apoptotic cells independent of the HPV status, but necrosis was only increased in the HPV-positive UM-Scc-47 cells. Generally, the immune stimulatory ICMs (CD70, CD137-L, ICOS-L) were less affected by RT compared to the immune suppressive ones (PD-L1, PD-L2, and the herpesvirus entry mediator (HVEM)). A significant higher surface expression of the analyzed ICMs was found after hypofractionated RT compared to a single high dose; however, regardless of the HPV status, with the exception of ICOS-L. Here, HPV-positive HNSCC tumor cells showed a stronger response to 5x3.0Gy than HPV-negative ones. On the RNA level, only minor alterations of ICMs were observed following RT, with the exception of the HPV negative cell line CAL33 treated with 5x3.0Gy, where PD-L2, HVEM and CD70 were significantly increased. We conclude that the HPV status may not distinctly predict immunological responses following RT, and thus cannot be used as a single predictive marker for therapy responses in HNSCC. In contrast, the patient-specific individual expression of ICMs following RT is preferable for the targeted patient selection for immune therapy directed against distinct ICM.
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Affiliation(s)
- Sebastian Wimmer
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; (S.W.); (L.D.); (M.H.); (A.D.); (F.G.); (T.W.); (M.H.); (R.F.); (B.F.)
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN, 91054 Erlangen, Germany
| | - Lisa Deloch
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; (S.W.); (L.D.); (M.H.); (A.D.); (F.G.); (T.W.); (M.H.); (R.F.); (B.F.)
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN, 91054 Erlangen, Germany
| | - Michael Hader
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; (S.W.); (L.D.); (M.H.); (A.D.); (F.G.); (T.W.); (M.H.); (R.F.); (B.F.)
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN, 91054 Erlangen, Germany
| | - Anja Derer
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; (S.W.); (L.D.); (M.H.); (A.D.); (F.G.); (T.W.); (M.H.); (R.F.); (B.F.)
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN, 91054 Erlangen, Germany
| | - Fridolin Grottker
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; (S.W.); (L.D.); (M.H.); (A.D.); (F.G.); (T.W.); (M.H.); (R.F.); (B.F.)
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN, 91054 Erlangen, Germany
| | - Thomas Weissmann
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; (S.W.); (L.D.); (M.H.); (A.D.); (F.G.); (T.W.); (M.H.); (R.F.); (B.F.)
- Comprehensive Cancer Center Erlangen-EMN, 91054 Erlangen, Germany
| | - Markus Hecht
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; (S.W.); (L.D.); (M.H.); (A.D.); (F.G.); (T.W.); (M.H.); (R.F.); (B.F.)
- Comprehensive Cancer Center Erlangen-EMN, 91054 Erlangen, Germany
| | - Antoniu-Oreste Gostian
- Department of Otorhinolaryngology, Head and Neck Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany;
| | - Rainer Fietkau
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; (S.W.); (L.D.); (M.H.); (A.D.); (F.G.); (T.W.); (M.H.); (R.F.); (B.F.)
- Comprehensive Cancer Center Erlangen-EMN, 91054 Erlangen, Germany
| | - Benjamin Frey
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; (S.W.); (L.D.); (M.H.); (A.D.); (F.G.); (T.W.); (M.H.); (R.F.); (B.F.)
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN, 91054 Erlangen, Germany
| | - Udo S. Gaipl
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; (S.W.); (L.D.); (M.H.); (A.D.); (F.G.); (T.W.); (M.H.); (R.F.); (B.F.)
- Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN, 91054 Erlangen, Germany
- Correspondence: ; Tel.: +49-9131-8544-258; Fax: +49-9131-8539-335
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Tang L, Liu T, Chen J, Dang J, Li G. Immune-checkpoint inhibitors versus other systemic therapies in advanced head and neck cancer: a network meta-analysis. Immunotherapy 2021; 13:541-555. [PMID: 33629592 DOI: 10.2217/imt-2020-0070] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Aim: We assessed the efficiency of immune checkpoint inhibitors relative to other systemic therapies in previously treated recurrent/metastatic head and neck cancer. Materials & methods: Relative treatment effects were assessed from eligible randomized controlled trials using Bayesian network meta-analyses. Results: Among 15 trials evaluating 14 treatments, nivolumab achieved the best overall survival (OS) benefit; zalutumumab and buparlisib + paclitaxel provided the best progression-free survival benefit and objective response rate. Buparlisib + paclitaxel and zalutumumab were associated with the best OS rate at 6 and 12 months, respectively; nivolumab yielded the best OS rate at 18-24 months. Conclusion: Nivolumab was the most favorable treatment. Zalutumumab and buparlisib + paclitaxel had better efficiency, and might be a better selection for patients with programmed death-ligand 1-low/negative tumors than other treatments.
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Affiliation(s)
- Lingrong Tang
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Tingting Liu
- Department of Radiation Oncology, Anshan Cancer Hospital, Anshan, China
| | - Jun Chen
- Department of Radiation Oncology, Shenyang Chest Hospital, Shenyang, China
| | - Jun Dang
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Guang Li
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
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Lang DM, Peeken JC, Combs SE, Wilkens JJ, Bartzsch S. Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients. Cancers (Basel) 2021; 13:786. [PMID: 33668646 DOI: 10.3390/cancers13040786] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 02/07/2021] [Accepted: 02/09/2021] [Indexed: 12/30/2022] Open
Abstract
Simple Summary Determination of human papillomavirus (HPV) status for oropharyngeal cancer patients depicts a essential diagnostic factor and is important for treatment decisions. Current histological methods are invasive, time consuming and costly. We tested the ability of deep learning models for HPV status testing based on routinely acquired diagnostic CT images. A network trained for sports video clip classification was modified and then fine tuned for HPV status prediction. In this way, very basic information about image structures is induced into the model before training is started, while still allowing for exploitation of full 3D information in the CT images. Usage of this approach helps the network to cope with a small number of training examples and makes it more robust. For comparison, two other models were trained, one not relying on a pre-training task and another one pre-trained on 2D Data. The pre-trained video model preformed best. Abstract Infection with the human papillomavirus (HPV) has been identified as a major risk factor for oropharyngeal cancer (OPC). HPV-related OPCs have been shown to be more radiosensitive and to have a reduced risk for cancer related death. Hence, the histological determination of HPV status of cancer patients depicts an essential diagnostic factor. We investigated the ability of deep learning models for imaging based HPV status detection. To overcome the problem of small medical datasets, we used a transfer learning approach. A 3D convolutional network pre-trained on sports video clips was fine-tuned, such that full 3D information in the CT images could be exploited. The video pre-trained model was able to differentiate HPV-positive from HPV-negative cases, with an area under the receiver operating characteristic curve (AUC) of 0.81 for an external test set. In comparison to a 3D convolutional neural network (CNN) trained from scratch and a 2D architecture pre-trained on ImageNet, the video pre-trained model performed best. Deep learning models are capable of CT image-based HPV status determination. Video based pre-training has the ability to improve training for 3D medical data, but further studies are needed for verification.
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13
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Peraldo-Neia C, Ostano P, Mello-Grand M, Guana F, Gregnanin I, Boschi D, Oliaro-Bosso S, Pippione AC, Carenzo A, De Cecco L, Cavalieri S, Micali A, Perrone F, Averono G, Bagnasacco P, Dosdegani R, Masini L, Krengli M, Aluffi-Valletti P, Valente G, Chiorino G. AKR1C3 is a biomarker and druggable target for oropharyngeal tumors. Cell Oncol (Dordr) 2020; 44:357-372. [PMID: 33211282 DOI: 10.1007/s13402-020-00571-z] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/21/2020] [Indexed: 10/22/2022] Open
Abstract
PURPOSE Oropharynx squamous cell carcinoma (OPSCC) is a subtype of head and neck squamous cell carcinoma (HNSCC) arising from the base of the tongue, lingual tonsils, tonsils, oropharynx or pharynx. The majority of HPV-positive OPSCCs has a good prognosis, but a fraction of them has a poor prognosis, similar to HPV-negative OPSCCs. An in-depth understanding of the molecular mechanisms underlying OPSCC is mandatory for the identification of novel prognostic biomarkers and/or novel therapeutic targets. METHODS 14 HPV-positive and 15 HPV-negative OPSCCs with 5-year follow-up information were subjected to gene expression profiling and, subsequently, compared to three extensive published OPSCC cohorts to define robust biomarkers for HPV-negative lesions. Validation of Aldo-keto-reductases 1C3 (AKR1C3) by qRT-PCR was carried out on an independent cohort (n = 111) of OPSCC cases. In addition, OPSCC cell lines Fadu and Cal-27 were treated with Cisplatin and/or specific AKR1C3 inhibitors to assess their (combined) therapeutic effects. RESULTS Gene set enrichment analysis (GSEA) on the four datasets revealed that the genes down-regulated in HPV-negative samples were mainly involved in immune system, whereas those up-regulated mainly in glutathione derivative biosynthetic and xenobiotic metabolic processes. A panel of 30 robust HPV-associated transcripts was identified, with AKR1C3 as top-overexpressed transcript in HPV-negative samples. AKR1C3 expression in 111 independent OPSCC cases positively correlated with a worse survival, both in the entire cohort and in HPV-positive samples. Pretreatment with a selective AKR1C3 inhibitor potentiated the effect of Cisplatin in OPSCC cells exhibiting higher basal AKR1C3 expression levels. CONCLUSIONS We identified AKR1C3 as a potential prognostic biomarker in OPSCC and as a potential drug target whose inhibition can potentiate the effect of Cisplatin.
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Affiliation(s)
- Caterina Peraldo-Neia
- Laboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, via Malta 3, 13900, Biella, Italy
| | - Paola Ostano
- Laboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, via Malta 3, 13900, Biella, Italy
| | - Maurizia Mello-Grand
- Laboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, via Malta 3, 13900, Biella, Italy
| | - Francesca Guana
- Laboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, via Malta 3, 13900, Biella, Italy
| | - Ilaria Gregnanin
- Laboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, via Malta 3, 13900, Biella, Italy
| | - Donatella Boschi
- Department of Drug Science and Technology, University of Turin, via Pietro Giuria 9, 10125, Turin, Italy
| | - Simonetta Oliaro-Bosso
- Department of Drug Science and Technology, University of Turin, via Pietro Giuria 9, 10125, Turin, Italy
| | - Agnese Chiara Pippione
- Department of Drug Science and Technology, University of Turin, via Pietro Giuria 9, 10125, Turin, Italy
| | - Andrea Carenzo
- Integrated Biology Platform, Department of Applied Research and Technology Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy
| | - Loris De Cecco
- Integrated Biology Platform, Department of Applied Research and Technology Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy
| | - Stefano Cavalieri
- Head and Neck Medical Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Arianna Micali
- Integrated Biology Platform, Department of Applied Research and Technology Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy
| | - Federica Perrone
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy
| | - Gianluca Averono
- Otorhinolaryngology Unit, Ospedale degli Infermi, via dei Ponderanesi 1, Ponderano, Biella, Italy
| | - Paolo Bagnasacco
- Otorhinolaryngology Unit, Ospedale degli Infermi, via dei Ponderanesi 1, Ponderano, Biella, Italy
| | | | - Laura Masini
- Department of Translational Medicine, UPO School of Medicine, Radiotherapy Unit, Novara, Italy
| | - Marco Krengli
- Department of Translational Medicine, UPO School of Medicine, Radiotherapy Unit, Novara, Italy
| | - Paolo Aluffi-Valletti
- Department of Health Sciences, UPO School of Medicine, Otorhinolaryngology Unit, Novara, Italy
| | - Guido Valente
- Department of Translational Medicine, UPO School of Medicine, Radiotherapy Unit, Novara, Italy
| | - Giovanna Chiorino
- Laboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, via Malta 3, 13900, Biella, Italy.
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14
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Fanetti G, Alterio D, Marvaso G, Gandini S, Rojas DP, Gobitti C, Minatel E, Revelant A, Caroli A, Francia CM, Alessandro O, Pepa M, Gugliandolo SG, Starzyńska A, Polesel J, Vaccher E, Cossu Rocca M, Tagliabue M, Ansarin M, Lupato V, Giacomarra V, De Paoli A, Orecchia R, Franchin G, Jereczek-Fossa BA. Prognostic significance of neutrophil-to-lymphocyte ratio in HPV status era for oropharyngeal cancer. Oral Dis 2020; 26:1384-1392. [PMID: 32315470 DOI: 10.1111/odi.13366] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [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: 02/12/2020] [Revised: 04/06/2020] [Accepted: 04/15/2020] [Indexed: 12/15/2022]
Abstract
AIM To evaluate the role of baseline neutrophil-to-lymphocyte ratio (NLR) as prognostic marker in squamous cell carcinoma of the oropharynx (OPC) treated with definitive chemoradiotherapy (CRT) in the era of HPV status. PATIENTS AND METHODS A retrospective analysis of 125 patients (pts) affected with locally advanced OPC was performed. Inclusion criteria were age >18 years, stage III or IV (TNM 7th ed.) and definitive CRT. Haematological marker for their independent role as prognostic biomarkers for progression-free survival (PFS) and overall survival (OS). Logistic models were used to assess the association with downstage in TNM 8th ed. RESULTS Seventy-seven (61.6%) pts had HPV/p16 + related OPC. Therapeutic choice consisted in sequential and concurrent CRT. Median follow-up was 50 months. A value of NLR ≥3 was associated with poorer OS. Two-year OS was 91% and 81% in pts with NLR <3 and ≥3, respectively. CONCLUSION A baseline NLR ≥ 3 at treatment initiation represented a negative prognostic marker for OPC treated with definitive CRT. These results are in line with literature data, and prognostic value of NLR has been confirmed restaging our cohort with new TNM staging (8th ed.). Therefore, NLR could be considered a valuable biomarker for risk stratification in pts with OPC.
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Affiliation(s)
- Giuseppe Fanetti
- Division of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Daniela Alterio
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Giulia Marvaso
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Sara Gandini
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | | | - Carlo Gobitti
- Division of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Emilio Minatel
- Division of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Alberto Revelant
- Division of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Angela Caroli
- Division of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Claudia Maria Francia
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Ombretta Alessandro
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy.,Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Matteo Pepa
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | | | - Anna Starzyńska
- Department of Oral Surgery, Medical University of Gdańsk, Gdańsk, Poland
| | - Jerry Polesel
- Unit of Cancer Epidemiology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Emanuela Vaccher
- Division of Medical Oncology and Immune-related Tumors, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Maria Cossu Rocca
- Division of Uro-genital and Head and Neck Medical Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Marta Tagliabue
- Division of Otolaryngology and Head and Neck Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Mohssen Ansarin
- Division of Otolaryngology and Head and Neck Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Valentina Lupato
- Division of Otolaryngology, Santa Maria degli Angeli General Hospital, Pordenone, Italy
| | - Vittorio Giacomarra
- Division of Otolaryngology, Santa Maria degli Angeli General Hospital, Pordenone, Italy
| | - Antonino De Paoli
- Division of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Roberto Orecchia
- Scientific Direction, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Giovanni Franchin
- Division of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Barbara Alicja Jereczek-Fossa
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy.,Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
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Zhang Y, Sturgis EM, Wei P, Liu H, Wang Z, Ma Y, Liu C, Gu KJ, Wei Q, Li G. A genetic variant within MDM4 3'UTR miRNA binding site is associated with HPV16-positive tumors and survival of oropharyngeal cancer. Mol Carcinog 2019; 58:2276-2285. [PMID: 31513313 DOI: 10.1002/mc.23116] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [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: 05/03/2019] [Revised: 08/27/2019] [Accepted: 09/03/2019] [Indexed: 12/24/2022]
Abstract
As mouse double minute 4 (MDM4) and HPV16 E6 oncoproteins play important roles in inhibition of p53 activity, a functional polymorphism (rs4245739) in the 3' untranslated regions of MDM4 targeted by microRNA-191 may alter its expression level or functional efficiency, thus affecting tumor status and survival in human papillomavirus (HPV)-positive squamous cell carcinoma of oropharynx (SCCOP). A total of 564 incident SCCOP patients with definitive radiotherapy were included for determination of tumor HPV16 status and genotypes of the polymorphism. Univariate and multivariable Cox models were performed to assess the associations between the polymorphism and outcomes. We found that MDM4 rs4245739 had statistically significant associations with tumor HPV-positivity and survival of SCCOP patients. Patients with AC/CC variant genotypes of MDM4 rs4245739 were approximately 3-fold more likely to be HPV16-positive tumors among SCCOP patients compared with common homozygous AA genotype (adjusted odds ratio = 3.2, 95% confidence interval = 1.9-5.5). Moreover, patients with MDM4 rs4245739 AC/CC variant genotypes had significantly better overall, disease-specific, and disease-free survival compared with those with the corresponding common homozygous AA genotype (all log-rank = P < .05); and these genotypes were significantly associated with an approximately three to four times reduced risk of overall death, death owing to disease, and recurrence after multivariable adjustment. Finally, the significant effects of MDM4 rs4245739 polymorphism on survival were found among HPV16-positive SCCOP patients only after the stratified analyses by tumor HPV status. We concluded that MDM4 rs4245739 polymorphism is significantly associated with tumor HPV status and survival of SCCOP, especially in HPV16-positive SCCOP patients treated with definitive radiotherapy; nevertheless, prospective larger studies are warranted.
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Affiliation(s)
- Yang Zhang
- Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Otolaryngology Head and Neck Surgery, Capital Medical University, Beijing, China.,Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Erich M Sturgis
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| | - Ziqiao Wang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yiding Ma
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chuan Liu
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Otorhinolaryngology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Kyle J Gu
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| | - Guojun Li
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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16
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Hall SF, Griffiths RJ, O'Sullivan B, Liu FF. The addition of chemotherapy to radiotherapy did not reduce the rate of distant metastases in low-risk HPV-related oropharyngeal cancer in a real-world setting. Head Neck 2019; 41:2271-2276. [PMID: 30719797 PMCID: PMC6617819 DOI: 10.1002/hed.25679] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [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: 09/18/2018] [Revised: 11/23/2018] [Accepted: 01/15/2019] [Indexed: 12/01/2022] Open
Abstract
Background Distant metastases (DM) are a leading cause of death for patients with oropharyngeal cancer (OPSCC). The objective of this study was to compare the rates of DM after chemoradiotherapy (CRT) and radiotherapy alone (RT) in patients with human papillomavirus (HPV)‐positive and HPV‐negative OPSCC. Method In a retrospective population‐based study of 525 patients across Ontario, Canada, in 1998/99/03/04, we compared treatment effectiveness using cumulative incidence function curves and cause‐specific Cox regression models. Results Sixty of 525 patients developed DM. There was no difference in rates (overall 10%‐15%) between HPV‐positive and HPV‐negative patients or between CRT‐ and RT‐treated patients. CRT reduced the risk of DM for the 15% of all HPV‐positive patients with higher risk (T4 and/or N3) and not for HPV‐negative patients (hazard ratio, 1.82 [0.65‐5.07]). Conclusion The addition of platin‐based chemotherapy to conventional RT did not decrease the rates of DM in the majority of patients with HPV‐positive or in HPV‐negative OPSSC.
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Affiliation(s)
- Stephen F Hall
- Department of Otolaryngology and Division of Cancer Care and Epidemiology of the Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada
| | - Rebecca J Griffiths
- Cancer Care and Epidemiology at the Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada
| | - Brian O'Sullivan
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Fei-Fei Liu
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
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17
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Wemmert S, Linxweiler M, Lerner C, Bochen F, Kulas P, Linxweiler J, Smola S, Urbschat S, Wagenpfeil S, Schick B. Combinational chromosomal aneuploidies and HPV status for prediction of head and neck squamous cell carcinoma prognosis in biopsies and cytological preparations. J Cancer Res Clin Oncol 2018; 144:1129-1141. [PMID: 29560516 DOI: 10.1007/s00432-018-2629-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 03/15/2018] [Indexed: 01/12/2023]
Abstract
PURPOSE Head and neck squamous cell carcinoma (HNSCC) is one of the most common human cancer types with a very poor prognosis despite improvements in therapeutic modalities. The major known risk factors are tobacco use and alcohol consumption or infection with high-risk human papilloma viruses (HPV), especially in oropharyngeal tumors. The current management based on the assessment of a variety of clinical and pathological parameters does not sufficiently predict outcome. METHODS Chromosomal alterations detected in HNSCCs were characterized by metaphase comparative genomic hybridization (CGH) and correlated with clinical parameters as well as survival time. Candidate regions were validated by quantitative polymerase chain reaction, fluorescence-in situ-hybridization (FISH) on dapped tumor tissue and liquid-based cytological smear preparations. In addition, HPV status was determined by polymerase chain reaction and simultaneous immunocytochemical p16INK4a-Ki67 staining. RESULTS The most frequent DNA copy number gains were observed on chromosome arms 3q, 8q, 5p, 7q, 12p, and 12q. DNA copy number decreases occurred most frequently at 3p, 17p, 4q, and 5q. FISH analysis verified in part the observed alterations by CGH on dapped tissues and was especially able to detect the most frequent DNA copy changes in cytological specimens. CONCLUSION The combination of HPV status and prognostic copy number alteration detected by FISH in biopsies or cytological specimens may be an applicable protocol for screening head and neck cancer patients prior to therapy.
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Affiliation(s)
- Silke Wemmert
- Department of Otorhinolaryngology, Saarland University Medical Center, Kirrberger Street 100, 66421, Homburg (Saar), Germany.
| | - Maximilian Linxweiler
- Department of Otorhinolaryngology, Saarland University Medical Center, Kirrberger Street 100, 66421, Homburg (Saar), Germany
| | - Cornelia Lerner
- Department of Otorhinolaryngology, Saarland University Medical Center, Kirrberger Street 100, 66421, Homburg (Saar), Germany
| | - Florian Bochen
- Department of Otorhinolaryngology, Saarland University Medical Center, Kirrberger Street 100, 66421, Homburg (Saar), Germany
| | - Philipp Kulas
- Department of Otorhinolaryngology, Saarland University Medical Center, Kirrberger Street 100, 66421, Homburg (Saar), Germany
| | | | - Sigrun Smola
- Institute of Virology, Saarland University Medical Center, Homburg (Saar), Germany
| | - Steffi Urbschat
- Department of Neurosurgery, Saarland University, Homburg (Saar), Germany
| | - Stefan Wagenpfeil
- Institute for Medical Biometry, Epidemiology and Medical Informatics, Saarland University, Homburg (Saar), Germany
| | - Bernhard Schick
- Department of Otorhinolaryngology, Saarland University Medical Center, Kirrberger Street 100, 66421, Homburg (Saar), Germany
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18
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Yu K, Zhang Y, Yu Y, Huang C, Liu R, Li T, Yang L, Morris JS, Baladandayuthapani V, Zhu H. Radiomic analysis in prediction of Human Papilloma Virus status. Clin Transl Radiat Oncol 2017; 7:49-54. [PMID: 29594229 PMCID: PMC5862639 DOI: 10.1016/j.ctro.2017.10.001] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [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: 06/27/2017] [Revised: 09/29/2017] [Accepted: 10/02/2017] [Indexed: 12/31/2022] Open
Abstract
Human Papilloma Virus (HPV) has been associated with oropharyngeal cancer prognosis. Traditionally the HPV status is tested through invasive lab test. Recently, the rapid development of statistical image analysis techniques has enabled precise quantitative analysis of medical images. The quantitative analysis of Computed Tomography (CT) provides a non-invasive way to assess HPV status for oropharynx cancer patients. We designed a statistical radiomics approach analyzing CT images to predict HPV status. Various radiomics features were extracted from CT scans, and analyzed using statistical feature selection and prediction methods. Our approach ranked the highest in the 2016 Medical Image Computing and Computer Assisted Intervention (MICCAI) grand challenge: Oropharynx Cancer (OPC) Radiomics Challenge, Human Papilloma Virus (HPV) Status Prediction. Further analysis on the most relevant radiomic features distinguishing HPV positive and negative subjects suggested that HPV positive patients usually have smaller and simpler tumors.
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Affiliation(s)
- Kaixian Yu
- Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center, United States
| | - Youyi Zhang
- Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center, United States
| | - Yang Yu
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, United States
| | - Chao Huang
- Department of Biostatistics, University of North Carolina at Chapel Hill, United States
| | - Rongjie Liu
- Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center, United States
| | - Tengfei Li
- Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center, United States
| | - Liuqing Yang
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, United States
| | - Jeffrey S Morris
- Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center, United States
| | | | - Hongtu Zhu
- Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center, United States
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19
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Das M, Prasad SB, Yadav SS, Modi A, Singh S, Pradhan S, Narayan G. HPV-type-specific response of cervical cancer cells to cisplatin after silencing replication licensing factor MCM4. Tumour Biol 2015; 36:9987-94. [PMID: 26188903 DOI: 10.1007/s13277-015-3782-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [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: 06/03/2015] [Accepted: 07/08/2015] [Indexed: 12/25/2022] Open
Abstract
Minichoromosome maintenance (MCM) proteins play key role in cell cycle progression by licensing DNA replication only once per cell cycle. These proteins are found to be overexpressed in cervical cancer cells. In this study, we depleted MCM4, one of the MCM 2-7 complex components by RNA interference (RNAi) in four cervical cancer cell lines. The four cell lines were selected on the basis of their human papillomavirus (HPV) infection: HPV16-positive SiHa, HPV18-positive ME-180, HPV16- and HPV18-positive CaSki, and HPV-negative C-33A. The MCM4-deficient cells irrespective of their HPV status grow for several generations and maintain regular cell cycle. We did not find any evidence of augmented response to a short-term (48 h) cisplatin treatment in these MCM4-deficient cells. However, MCM4-/HPV16+ SiHa cells cannot withstand a prolonged treatment (up to 5 days) of even a sublethal dosage of cisplatin. They show increased chromosomal instability compared to their control counterparts. On the other hand, MCM4-deficient CaSki cells (both HPV16+ and 18+) remain resistant to a prolonged exposure to cisplatin. Our study indicates that cervical cancer cells may be using excess MCMs as a backup for replicative stress; however, its regulatory mechanism is dependent on the HPV status of the cells.
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Affiliation(s)
- Mitali Das
- Cancer Genetics Laboratory, Department of Molecular and Human Genetics, Banaras Hindu University, Varanasi, 221 005, Uttar Pradesh, India
| | - Shyam Babu Prasad
- Cancer Genetics Laboratory, Department of Molecular and Human Genetics, Banaras Hindu University, Varanasi, 221 005, Uttar Pradesh, India.,Division of Molecular Oncology, Institute of Cytology and Preventive Oncology, I-7, Sector-39, Noida, 201 301, India
| | - Suresh Singh Yadav
- Cancer Genetics Laboratory, Department of Molecular and Human Genetics, Banaras Hindu University, Varanasi, 221 005, Uttar Pradesh, India
| | - Arusha Modi
- Cancer Genetics Laboratory, Department of Molecular and Human Genetics, Banaras Hindu University, Varanasi, 221 005, Uttar Pradesh, India
| | - Sunita Singh
- Department of Zoology, Mahila Mahavidyalaya, Banaras Hindu University, Varanasi, 221 005, Uttar Pradesh, India
| | - Satyajit Pradhan
- Department of Radiotherapy and Radiation Medicine, Banaras Hindu University, Varanasi, 221 005, Uttar Pradesh, India
| | - Gopeshwar Narayan
- Cancer Genetics Laboratory, Department of Molecular and Human Genetics, Banaras Hindu University, Varanasi, 221 005, Uttar Pradesh, India.
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20
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Ramshankar V, Krishnamurthy A. Human papilloma virus in head and neck cancers-role and relevance in clinical management. Indian J Surg Oncol 2012; 4:59-66. [PMID: 24426701 DOI: 10.1007/s13193-012-0196-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [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: 04/29/2012] [Accepted: 11/18/2012] [Indexed: 01/24/2023] Open
Abstract
The biology and clinical behavior of Head and Neck Squamous Cell Carcinomas (HNSCCs) is very distinct within different subgroups due to the distinct molecular profiles for the HPV positive versus HPV negative tumors. HPV status is the most important independent prognostic variable in multivariate analysis taking into account all other prognostic factors like tumour stage, smoking status, age and performance status. The debate today is whether the intense therapy is too aggressive in this group of patients since they show a superior survival regardless of treatment strategies. A highly divergent prognosis and distinct biology of HPV positive and HPV negative HNSCCs underlines the fact that treating them as distinct diseases is the need of the hour. Infection with HPV is associated with less aggressive disease, better loco regional control and lower rates of second primary cancers. An important caveat that remains is the emergence of intermediate prognosis of HPV positive smokers and HPV negative non smokers. Though molecular biology has provided important data on the interaction of the HPV onco proteins with genes important in cell cycle control, also speculated to be involved in pathogenesis of HNSCC, more basic research is needed to describe the differential mechanisms of tumorigenesis among the HNSCCs that show presence and absence of HPV. This is clinically relevant to reduce morbidity without compromising tumour control in HPV positive patients and improving tumour control and co-morbid illness that could be pre-existing or treatment related in HPV negative patients. There may be a need for treatment intensification and incorporation of newer agents into induction chemotherapy protocols for the HPV negative patients and so HPV detection is important to aid in this selection. HPV tumour status is therefore more important than just providing the prognostic information in these classes of tumours. This article discusses the role and clinical relevance of HPV in HNSCCs.
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Affiliation(s)
- Vijayalakshmi Ramshankar
- Department of Preventive Oncology, Cancer Institute (WIA), 36, Sardar Patel Rd, Adyar, Chennai, 600020 India
| | - Arvind Krishnamurthy
- Departments of Surgical Oncology, Cancer Institute (WIA), 36, Sardar Patel Rd, Adyar, Chennai, 600020 India
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