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Hanna GJ, Chang SSW, Siddiqui F, Bain PA, Takiar V, Ward MC, Shukla ME, Hu KS, Robbins J, Witek ME, Bakst R, Chandra RA, Galloway T, Margalit DN. Imaging and Biomarker Surveillance for Head and Neck Squamous Cell Carcinoma: A Systematic Review and American Radium Society Appropriate Use Criteria Statement. Int J Radiat Oncol Biol Phys 2024; 119:786-802. [PMID: 38168554 DOI: 10.1016/j.ijrobp.2023.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 12/10/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024]
Abstract
Surveillance for survivors of head and neck cancer (HNC) is focused on early detection of recurrent or second primary malignancies. After initial restaging confirms disease-free status, the use of surveillance imaging for asymptomatic patients with HNC is controversial. Our objective was to comprehensively review literature pertaining to imaging and biomarker surveillance of asymptomatic patients treated for head and neck squamous cell carcinoma and to convene a multidisciplinary expert panel to provide appropriate use criteria for surveillance in representative clinical scenarios. The evidence base for the appropriate use criteria was gathered through a librarian-mediated search of literature published from 1990 to 2022 focused on surveillance imaging and circulating tumor-specific DNA for nonmetastatic head and neck squamous cell carcinoma using MEDLINE (Ovid), Embase, Web of Science Core Collection, and the Cochrane Central Register of Controlled Trials. The systematic review was reported according to PRISMA guidelines. Using the modified Delphi process, the expert panel voted on appropriate use criteria, providing recommendations for appropriate use of surveillance imaging and human papillomavirus (HPV) circulating tumor DNA. Of 5178 studies identified, 80 met inclusion criteria (5 meta-analyses/systematic reviews, 1 randomized control trial, 1 post hoc analysis, 25 prospective, and 48 retrospective cohort studies [with ≥50 patients]), reporting on 27,525 patients. No large, randomized, prospective trials examined whether asymptomatic patients who receive surveillance imaging or HPV circulating tumor DNA monitoring benefit from earlier detection of recurrence or second primary tumors in terms of disease-specific or quality-of-life outcomes. In the absence of prospective data, surveillance imaging for HNC survivors should rely on individualized recurrence-risk assessment accounting for initial disease staging, HPV disease status, and tobacco use history. There is an emerging surveillance role for circulating tumor biomarkers.
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Affiliation(s)
- Glenn J Hanna
- Center for Head and Neck Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
| | - Steven Shih-Wei Chang
- Department of Otolaryngology Head and Neck Surgery, Henry Ford Cancer Institute and Hospital, Detroit, Michigan
| | - Farzan Siddiqui
- Department of Radiation Oncology, Henry Ford Cancer Institute and Hospital, Detroit, Michigan
| | - Paul A Bain
- Countway Library, Harvard Medical School, Boston, Massachusetts
| | - Vinita Takiar
- Department of Radiation Oncology, University of Cincinnati, Cincinnati, Ohio
| | - Matthew C Ward
- Atrium Health Levine Cancer Institute Radiation Therapy Center, Charlotte, North Carolina
| | - Monica E Shukla
- Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Kenneth S Hu
- New York University Langone Hospitals, New York, New York
| | - Jared Robbins
- Radiation Oncology, College of Medicine Tucson, University of Arizona, Tucson, Arizona
| | - Matthew E Witek
- University of Maryland School of Medicine, Baltimore, Maryland
| | - Richard Bakst
- Mount Sinai Icahn School of Medicine, New York, New York
| | - Ravi A Chandra
- Mid-Atlantic Permanente Medical Group, Kaiser Permanente Health, Rockville, Maryland
| | - Thomas Galloway
- Fox Chase Cancer Center, Temple Health, Philadelphia, Pennsylvania
| | - Danielle N Margalit
- Center for Head and Neck Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Radiation Oncology, Dana-Farber Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts
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Liu C, Wu S, Lai L, Liu J, Guo Z, Ye Z, Chen X. Comprehensive analysis of cuproptosis-related lncRNAs in immune infiltration and prognosis in hepatocellular carcinoma. BMC Bioinformatics 2023; 24:4. [PMID: 36597032 PMCID: PMC9811804 DOI: 10.1186/s12859-022-05091-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 12/01/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Being among the most common malignancies worldwide, hepatocellular carcinoma (HCC) accounting for the third cause of cancer mortality. The regulation of cell death is the most crucial step in tumor progression and has become a crucial target for nearly all therapeutic options. Cuproptosis, a copper-induced cell death, was recently reported in Science. However, its primary function in carcinogenesis is still unclear. METHODS Cuproptosis-related lncRNAs significantly associated with overall survival (OS) were screened by stepwise univariate Cox regression. The signature of cuproptosis-related lncRNAs for HCC prognosis was constructed by the LASSO algorithm and multivariate Cox regression. Further Kaplan-Meier analysis, proportional hazards model, and ROC analysis were performed. Functional annotation was performed using gene set enrichment analysis (GSEA). The relationship between prognostic cuproptosis-related lncRNAs and HCC prognosis was further explored by GEPIA( http://gepia.cancer-pku.cn/ ) online analysis tool. Finally, we used the ESTIMATE and XCELL algorithms to estimate stromal and immune cells in tumor tissue and cast each sample to infer the underlying mechanism of cuproptosis-related lncRNAs in the tumor immune microenvironment (TIME) of HCC patients. RESULTS Four cuproptosis-related lncRNAs were used to construct a prognostic lncRNA signature, which was an independent factor in predicting OS in HCC patients. Kaplan-Meier curves showed significant differences in survival rates between risk subgroups (p = 0.002). At the same time, we found that the expression levels of most immune checkpoint genes increased with increasing risk scores. Tumorigenesis and immunological-related pathways were primarily enhanced in the high-risk group, as determined by GSEA. The results of drug sensitivity analysis showed that compared with patients in the high-risk group, the IC50 values of erlotinib and lapatinib were lower in patients in the low-risk group, while the opposite was true for sunitinib, paclitaxel, gemcitabine, and imatinib. We also found that elevated AL133243.2 expression was significantly associated with worse OS and disease-free survival (DFS), more advanced T stage and higher tumor grade, and reduced immune cell infiltration, suggesting that HCC patients with low AL133243.2 expression in tumor tissues may have a better response to immunotherapy. CONCLUSION Collectively, the cuproptosis-associated lncRNA signature can serve as an independent predictor to guide individual treatment strategies. Furthermore, AL133243.2 is a promising marker for predicting immunotherapy response in HCC patients. This data may facilitate further exploration of more effective immunotherapy strategies for HCC.
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Affiliation(s)
- Chunhua Liu
- grid.417384.d0000 0004 1764 2632Rehabilitation Center, The Second Affiliated Hospital of Wenzhou Medical University, 108 Xueyuan West Road, Wenzhou, Zhejiang China
| | - Simin Wu
- grid.417384.d0000 0004 1764 2632Rehabilitation Center, The Second Affiliated Hospital of Wenzhou Medical University, 108 Xueyuan West Road, Wenzhou, Zhejiang China
| | - Liying Lai
- grid.13402.340000 0004 1759 700XDepartment of Cancer Rehabilitation, Lishui Hospital of Traditional Chinese Medicine Affiliated to the Zhejiang University of Chinese Medicine, Lishui, Zhejiang China
| | - Jinyu Liu
- grid.13402.340000 0004 1759 700XDepartment of Cancer Rehabilitation, Lishui Hospital of Traditional Chinese Medicine Affiliated to the Zhejiang University of Chinese Medicine, Lishui, Zhejiang China
| | - Zhaofu Guo
- grid.13402.340000 0004 1759 700XDepartment of Cancer Rehabilitation, Lishui Hospital of Traditional Chinese Medicine Affiliated to the Zhejiang University of Chinese Medicine, Lishui, Zhejiang China
| | - Zegen Ye
- grid.13402.340000 0004 1759 700XDepartment of Cancer Rehabilitation, Lishui Hospital of Traditional Chinese Medicine Affiliated to the Zhejiang University of Chinese Medicine, Lishui, Zhejiang China
| | - Xiang Chen
- Rehabilitation Center, The Second Affiliated Hospital of Wenzhou Medical University, 108 Xueyuan West Road, Wenzhou, Zhejiang, China.
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Zhang X, Li W, Liu Y, Xu L, Wang X, Feng X. Value of plasma vitamin D level and nomogram model for predicting the prognosis of patients with small cell lung cancer treated with platinum plus etoposide as first-line chemotherapy. Am J Transl Res 2022; 14:7771-7781. [PMID: 36505322 PMCID: PMC9730104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 10/26/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND To assess the value of plasma vitamin D level and nomogram model in predicting the prognosis of patients with small cell lung cancer (SCLC) treated with platinum plus etoposide (PPE) as first-line chemotherapy. METHODS In this retrospective study, we included 178 patients with SCLC. The data of 25(OH)D level, basic clinical information, overall survival (OS) and progression-free survival (PFS) were collected. Moreover, a nomogram was constructed to predict the prognosis of the patients. RESULTS The median OS value for patients with 25(OH)D < 10 ng/mL was 12.5 months. The median PFS value was 6.6 months. Sex, smoking status, clinical stage, and plasma vitamin D were independent prognostic predictors. Besides, the decision curve analysis and receiver operating characteristic curve indicated that the nomogram prediction models showed positive clinical benefit. CONCLUSIONS The plasma vitamin D level is of great significance in prognosis of patients with SCLC. The construction of nomograms is beneficial in predicting the prognosis of patients with SCLC treated with PPE.
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Affiliation(s)
- Xiaochang Zhang
- Department of Hematology and Oncology, Taizhou Central Hospital (Taizhou University Hospital)Taizhou 318000, Zhejiang, P. R. China
| | - Wei Li
- Cancer and Stem Cell Center, First Affiliated Hospital, Jilin UniversityChangchun 130061, Jilin, P. R. China
| | - Yonghua Liu
- Department of Hematology, Lishui People’s HospitalLishui 323000, Zhejiang, P. R. China
| | - Linglong Xu
- Department of Hematology and Oncology, Taizhou Central Hospital (Taizhou University Hospital)Taizhou 318000, Zhejiang, P. R. China
| | - Xu Wang
- Cancer and Stem Cell Center, First Affiliated Hospital, Jilin UniversityChangchun 130061, Jilin, P. R. China
| | - Xiaoning Feng
- Department of Hematology, Lishui People’s HospitalLishui 323000, Zhejiang, P. R. China
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Rønn Hansen C, Price G, Field M, Sarup N, Zukauskaite R, Johansen J, Eriksen JG, Aly F, McPartlin A, Holloway L, Thwaites D, Brink C. Larynx cancer survival model developed through open-source federated learning. Radiother Oncol 2022; 176:179-186. [PMID: 36208652 DOI: 10.1016/j.radonc.2022.09.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 08/12/2022] [Accepted: 09/28/2022] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Federated learning has the potential to perfrom analysis on decentralised data; however, there are some obstacles to survival analyses as there is a risk of data leakage. This study demonstrates how to perform a stratified Cox regression survival analysis specifically designed to avoid data leakage using federated learning on larynx cancer patients from centres in three different countries. METHODS Data were obtained from 1821 larynx cancer patients treated with radiotherapy in three centres. Tumour volume was available for all 786 of the included patients. Parameter selection among eleven clinical and radiotherapy parameters were performed using best subset selection and cross-validation through the federated learning system, AusCAT. After parameter selection, β regression coefficients were estimated using bootstrap. Calibration plots were generated at 2 and 5-years survival, and inner and outer risk groups' Kaplan-Meier curves were compared to the Cox model prediction. RESULTS The best performing Cox model included log(GTV), performance status, age, smoking, haemoglobin and N-classification; however, the simplest model with similar statistical prediction power included log(GTV) and performance status only. The Harrell C-indices for the simplest model were for Odense, Christie and Liverpool 0.75[0.71-0.78], 0.65[0.59-0.71], and 0.69[0.59-0.77], respectively. The values are slightly higher for the full model with C-index 0.77[0.74-0.80], 0.67[0.62-0.73] and 0.71[0.61-0.80], respectively. Smoking during treatment has the same hazard as a ten-years older nonsmoking patient. CONCLUSION Without any patient-specific data leaving the hospitals, a stratified Cox regression model based on data from centres in three countries was developed without data leakage risks. The overall survival model is primarily driven by tumour volume and performance status.
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Affiliation(s)
- Christian Rønn Hansen
- Laboratory of Radiation Physics, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Danish Centre for Particle Therapy, Aarhus University Hospital, Denmark; Institute of Medical Physics, School of Physics, University of Sydney, Sydney, Australia.
| | - Gareth Price
- Radiotherapy department, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Matthew Field
- Ingham Institute for Applied Medical Research, Sydney, Australia
| | - Nis Sarup
- Laboratory of Radiation Physics, Odense University Hospital, Odense, Denmark
| | - Ruta Zukauskaite
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Jørgen Johansen
- Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Jesper Grau Eriksen
- Department of Oncology, Odense University Hospital, Odense, Denmark; Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark; Department of Oncology, Aarhus University Hospital, Denmark
| | - Farhannah Aly
- Ingham Institute for Applied Medical Research, Sydney, Australia; Southwest Sydney Clinical Campus, University of New South Wales, Sydney, Australia; Liverpool and Macarthur Cancer Therapy Centres, Sydney, Australia
| | - Andrew McPartlin
- Radiotherapy department, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Lois Holloway
- Institute of Medical Physics, School of Physics, University of Sydney, Sydney, Australia; Ingham Institute for Applied Medical Research, Sydney, Australia; Southwest Sydney Clinical Campus, University of New South Wales, Sydney, Australia; Liverpool and Macarthur Cancer Therapy Centres, Sydney, Australia
| | - David Thwaites
- Institute of Medical Physics, School of Physics, University of Sydney, Sydney, Australia
| | - Carsten Brink
- Laboratory of Radiation Physics, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Yang X, Wang X, Sun X, Xiao M, Fan L, Su Y, Xue L, Luo S, Hou S, Wang H. Construction of five cuproptosis-related lncRNA signature for predicting prognosis and immune activity in skin cutaneous melanoma. Front Genet 2022; 13:972899. [PMID: 36160015 PMCID: PMC9490379 DOI: 10.3389/fgene.2022.972899] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Cuproptosis is a newly discovered new mechanism of programmed cell death, and its unique pathway to regulate cell death is thought to have a unique role in understanding cancer progression and guiding cancer therapy. However, this regulation has not been studied in SKCM at present. In this study, data on Skin Cutaneous Melanoma (SKCM) patients were downloaded from the TCGA database. We screened the genes related to cuproptosis from the published papers and confirmed the lncRNAs related to them. We applied Univariate/multivariate and LASSO Cox regression algorithms, and finally identified 5 cuproptosis-related lncRNAs for constructing prognosis prediction models (VIM-AS1, AC012443.2, MALINC1, AL354696.2, HSD11B1-AS1). The reliability and validity test of the model indicated that the model could well distinguish the prognosis and survival of SKCM patients. Next, immune microenvironment, immunotherapy analysis, and functional enrichment analysis were also performed. In conclusion, this study is the first analysis based on cuproptosis-related lncRNAs in SKCM and aims to open up new directions for SKCM therapy.
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Affiliation(s)
- Xiaojing Yang
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
- *Correspondence: Xiaojing Yang, ; Huiping Wang,
| | - Xing Wang
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xinti Sun
- Department of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Meng Xiao
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Liyun Fan
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yunwei Su
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Lu Xue
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Suju Luo
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Shuping Hou
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Huiping Wang
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
- *Correspondence: Xiaojing Yang, ; Huiping Wang,
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Chen J, Li W, Liu B, Xie X. Low LINC02147 expression promotes the malignant progression of oral submucous fibrosis. BMC Oral Health 2022; 22:316. [PMID: 35906577 PMCID: PMC9338683 DOI: 10.1186/s12903-022-02346-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/21/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Key lncRNAs associated with the malignant progression of oral submucous fibrosis (OSF) to oral squamous cell carcinoma (OSCC) were identified. METHODS Key lncRNAs with sequential changes from normal oral mucosa (NOM) to OSF to OSCC were identified based on the GEO database. Kaplan-Meier analysis was used to screen lncRNAs related to OSCC prognosis. Cox regression analysis was used to validate the independent prognostic value. qPCR was used to confirm the expression of the candidate lncRNAs. Gene set enrichment analysis (GSEA), nucleocytoplasmic separation assay, fluorescence in situ hybridization, RNA knockdown, western blot, and cell viability assay were performed to investigate the biological functions of the candidate lncRNA. A nomogram was constructed to quantitatively predict OSCC prognosis based on TCGA. RESULTS Bioinformatics methods indicated that LINC02147 was sequentially downregulated from NOM to OSF to OSCC, as confirmed by clinical tissues and cells. Meanwhile, low LINC02147 expression, as an independent prognostic factor, predicted a poor prognosis for OSCC. GSEA and in vitro studies suggested that low LINC02147 expression promoted OSF malignant progression by promoting cell proliferation and differentiation. A LINC02147 signature-based nomogram successfully quantified each indicator's contribution to the overall survival of OSCC. CONCLUSIONS Low LINC02147 expression promoted OSF malignant progression and predicted poor OSCC prognosis.
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Affiliation(s)
- Jun Chen
- Hunan Key Laboratory of Oral Health Research & Hunan 3D, Printing Engineering Research Center of Oral Care and Hunan Clinical Research Center of Oral Major Diseases and Oral Health and Xiangya Stomatological Hospital and Xiangya School of Stomatology, Central South University, 72 Xiangya Road, Kaifu District, Changsha, 410008, People's Republic of China
| | - Wenjie Li
- Hunan Key Laboratory of Oral Health Research & Hunan 3D, Printing Engineering Research Center of Oral Care and Hunan Clinical Research Center of Oral Major Diseases and Oral Health and Xiangya Stomatological Hospital and Xiangya School of Stomatology, Central South University, 72 Xiangya Road, Kaifu District, Changsha, 410008, People's Republic of China. .,State Key Laboratory of Powder Metallurgy, Central South University, Changsha, 410083, People's Republic of China. .,Department of Oral Health Science, School of Dentistry, University of Washington, Seattle, WA, 98195, USA.
| | - Binjie Liu
- Hunan Key Laboratory of Oral Health Research & Hunan 3D, Printing Engineering Research Center of Oral Care and Hunan Clinical Research Center of Oral Major Diseases and Oral Health and Xiangya Stomatological Hospital and Xiangya School of Stomatology, Central South University, 72 Xiangya Road, Kaifu District, Changsha, 410008, People's Republic of China.
| | - Xiaoli Xie
- Hunan Key Laboratory of Oral Health Research & Hunan 3D, Printing Engineering Research Center of Oral Care and Hunan Clinical Research Center of Oral Major Diseases and Oral Health and Xiangya Stomatological Hospital and Xiangya School of Stomatology, Central South University, 72 Xiangya Road, Kaifu District, Changsha, 410008, People's Republic of China.
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