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  1. Article ; Online: The role of surgery and deescalation for HPV-related oropharyngeal cancer.

    Contrera, Kevin J / Patel, Mihir R / Burtness, Barbara / Mehra, Ranee / Ferris, Robert L

    Cancer

    2024  

    Abstract: Recently published and ongoing trials are helping to define the role of transoral robotic surgery for oropharyngeal cancer. Evidence to date supports the use of surgery as a valuable tool in the multidisciplinary deescalation of low-risk human ... ...

    Abstract Recently published and ongoing trials are helping to define the role of transoral robotic surgery for oropharyngeal cancer. Evidence to date supports the use of surgery as a valuable tool in the multidisciplinary deescalation of low-risk human papillomavirus-related oropharyngeal squamous cell carcinoma.
    Language English
    Publishing date 2024-03-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1429-1
    ISSN 1097-0142 ; 0008-543X ; 1934-662X
    ISSN (online) 1097-0142
    ISSN 0008-543X ; 1934-662X
    DOI 10.1002/cncr.35287
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Radiomic Biomarkers of Locoregional Recurrence: Prognostic Insights from Oral Cavity Squamous Cell Carcinoma preoperative CT scans.

    Ren, Lei / Ling, Xiao / Alexander, Gregory / Molitoris, Jason / Choi, Jinhyuk / Schumaker, Lisa / Mehra, Ranee / Gaykalova, Daria

    Research square

    2024  

    Abstract: This study aimed to identify CT-based imaging biomarkers for locoregional recurrence (LR) in Oral Cavity Squamous Cell Carcinoma (OSCC) patients. Our study involved a retrospective review of 78 patients with OSCC who underwent surgical treatment at a ... ...

    Abstract This study aimed to identify CT-based imaging biomarkers for locoregional recurrence (LR) in Oral Cavity Squamous Cell Carcinoma (OSCC) patients. Our study involved a retrospective review of 78 patients with OSCC who underwent surgical treatment at a single medical center. An approach involving feature selection and statistical model diagnostics was utilized to identify biomarkers. Two radiomics biomarkers, Large Dependence Emphasis (LDE) of the Gray Level Dependence Matrix (GLDM) and Long Run Emphasis (LRE) of the Gray Level Run Length Matrix (GLRLM) of the 3D Laplacian of Gaussian (LoG σ = 3), have demonstrated the capability to preoperatively distinguish patients with and without LR, exhibiting exceptional testing specificity (1.00) and sensitivity (0.82). The group with LRE > 2.99 showed a 3-year recurrence-free survival rate of 0.81, in contrast to 0.49 for the group with LRE ≤ 2.99. Similarly, the group with LDE > 120 showed a rate of 0.82, compared to 0.49 for the group with LDE ≤ 120. These biomarkers broaden our understanding of using radiomics to predict OSCC progression, enabling personalized treatment plans to enhance patient survival.
    Language English
    Publishing date 2024-01-22
    Publishing country United States
    Document type Preprint
    DOI 10.21203/rs.3.rs-3857391/v1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Clinical and genomic characterization of chemoradiation-resistant HPV-positive oropharyngeal squamous cell carcinoma.

    Guo, Theresa / Zamuner, Fernando / Ting, Stephanie / Chen, Liam / Rooper, Lisa / Tamayo, Pablo / Fakhry, Carole / Gaykalova, Daria / Mehra, Ranee

    Frontiers in oncology

    2024  Volume 14, Page(s) 1336577

    Abstract: Introduction: Most patients with HPV-positive oropharyngeal squamous cell carcinoma (OPSCC) have an excellent response to chemoradiation, and trials are now investigating de-escalated treatment. However, up to 25% of patients with HPV-positive OPSCC ... ...

    Abstract Introduction: Most patients with HPV-positive oropharyngeal squamous cell carcinoma (OPSCC) have an excellent response to chemoradiation, and trials are now investigating de-escalated treatment. However, up to 25% of patients with HPV-positive OPSCC will experience recurrence, and up to 5% will even progress through primary treatment. Currently, there are no molecular markers to identify patients with poor prognosis who would be harmed by de-escalation. Herein we report the clinical and genomic characteristics of persistent HPV-positive OPSCC after definitive platinum-based chemoradiation therapy.
    Methods: Patients with HPV-positive OPSCC treated with curative intent platinum-based chemoradiation between 2007 and 2017 at two institutions and with a persistent locoregional disease were included. We evaluated clinical characteristics, including smoking status, age, stage, treatment, and overall survival. A subset of five patients had tissue available for targeted exome DNA sequencing and RNA sequencing. Genomic analysis was compared to a previously published cohort of 47 treatment-responsive HPV+ OPSCC tumors after batch correction. Mutational landscape, pathway activation, and OncoGPS tumor states were employed to characterize these tumors.
    Results: Ten patients met the inclusion criteria. The tumor and nodal stages ranged from T1 to T4 and N1 to N2 by AJCC 8th edition staging. All patients were p16-positive by immunohistochemistry, and eight with available
    Conclusion: Chemoradiation-resistant HPV-positive OPSCC occurs infrequently but portends a poor prognosis. These tumors demonstrate higher rates of p53 mutation and activation of MYC, SRC, and TGF-beta pathways. A comparison of tumors before and after treatment demonstrates PI3K-EMT-Stem pathways post-treatment in HPV-positive tumors with persistent disease after platinum-based chemoradiation.
    Language English
    Publishing date 2024-03-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2024.1336577
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Pembrolizumab for the treatment of head and neck squamous cell cancer.

    Ho, Won Jin / Mehra, Ranee

    Expert opinion on biological therapy

    2019  Volume 19, Issue 9, Page(s) 879–885

    Abstract: ... ...

    Abstract Introduction
    MeSH term(s) Animals ; Antibodies, Monoclonal, Humanized/therapeutic use ; Antineoplastic Agents, Immunological/therapeutic use ; Head and Neck Neoplasms/drug therapy ; Head and Neck Neoplasms/immunology ; Humans ; Programmed Cell Death 1 Receptor/immunology ; Squamous Cell Carcinoma of Head and Neck/drug therapy ; Squamous Cell Carcinoma of Head and Neck/immunology
    Chemical Substances Antibodies, Monoclonal, Humanized ; Antineoplastic Agents, Immunological ; PDCD1 protein, human ; Programmed Cell Death 1 Receptor ; pembrolizumab (DPT0O3T46P)
    Language English
    Publishing date 2019-07-19
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Review
    ZDB-ID 2052501-1
    ISSN 1744-7682 ; 1471-2598
    ISSN (online) 1744-7682
    ISSN 1471-2598
    DOI 10.1080/14712598.2019.1644315
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Cost-effectiveness of concurrent radiation with cetuximab or chemotherapy in older patients with oropharyngeal cancer.

    Albarmawi, Husam / Cullen, Kevin J / Mehra, Ranee / Onukwugha, Eberechukwu / Goloubeva, Olga

    Journal of comparative effectiveness research

    2022  Volume 11, Issue 8, Page(s) 595–607

    Abstract: Aim: ...

    Abstract Aim:
    MeSH term(s) Aged ; Cetuximab/therapeutic use ; Chemoradiotherapy ; Cost-Benefit Analysis ; Humans ; Medicare ; Oropharyngeal Neoplasms/drug therapy ; Oropharyngeal Neoplasms/radiotherapy ; United States/epidemiology
    Chemical Substances Cetuximab (PQX0D8J21J)
    Language English
    Publishing date 2022-05-11
    Publishing country England
    Document type Journal Article ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 2669725-7
    ISSN 2042-6313 ; 2042-6305
    ISSN (online) 2042-6313
    ISSN 2042-6305
    DOI 10.2217/cer-2021-0209
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Is There Room for Personalized Medicine in Small-Cell Lung Cancer (SCLC)? Remarkable Activity of Pazopanib in Refractory FGFR1-Amplified ED-SCLC.

    Russo, Alessandro / Ron, David Arias / Rasschaert, Marika / Prenen, Hans / Mehra, Ranee / Scilla, Katherine / Pauwels, Patrick / Rolfo, Christian

    JCO precision oncology

    2022  Volume 3, Page(s) 1–8

    Language English
    Publishing date 2022-01-31
    Publishing country United States
    Document type Journal Article
    ISSN 2473-4284
    ISSN (online) 2473-4284
    DOI 10.1200/PO.19.00243
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Emerging immune checkpoint inhibitors for the treatment of head and neck cancers.

    Green, Sarah E / McCusker, Michael G / Mehra, Ranee

    Expert opinion on emerging drugs

    2020  Volume 25, Issue 4, Page(s) 501–514

    Abstract: ... ...

    Abstract Introduction
    MeSH term(s) Antibodies, Monoclonal, Humanized/administration & dosage ; Antibodies, Monoclonal, Humanized/pharmacology ; Drug Development ; Head and Neck Neoplasms/drug therapy ; Head and Neck Neoplasms/pathology ; Humans ; Immune Checkpoint Inhibitors/administration & dosage ; Immune Checkpoint Inhibitors/pharmacology ; Immunotherapy/methods ; Nivolumab/administration & dosage ; Nivolumab/pharmacology ; Patient Selection ; Squamous Cell Carcinoma of Head and Neck/drug therapy ; Squamous Cell Carcinoma of Head and Neck/pathology ; Survival Rate
    Chemical Substances Antibodies, Monoclonal, Humanized ; Immune Checkpoint Inhibitors ; Nivolumab (31YO63LBSN) ; pembrolizumab (DPT0O3T46P)
    Language English
    Publishing date 2020-12-17
    Publishing country England
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2061369-6
    ISSN 1744-7623 ; 1472-8214
    ISSN (online) 1744-7623
    ISSN 1472-8214
    DOI 10.1080/14728214.2020.1852215
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Identification of CT-based non-invasive radiomic biomarkers for overall survival prediction in oral cavity squamous cell carcinoma.

    Ling, Xiao / Alexander, Gregory S / Molitoris, Jason / Choi, Jinhyuk / Schumaker, Lisa / Mehra, Ranee / Gaykalova, Daria A / Ren, Lei

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 21774

    Abstract: This study addresses the limited non-invasive tools for Oral Cavity Squamous Cell Carcinoma (OSCC) survival prediction by identifying Computed Tomography (CT)-based biomarkers to improve prognosis prediction. A retrospective analysis was conducted on ... ...

    Abstract This study addresses the limited non-invasive tools for Oral Cavity Squamous Cell Carcinoma (OSCC) survival prediction by identifying Computed Tomography (CT)-based biomarkers to improve prognosis prediction. A retrospective analysis was conducted on data from 149 OSCC patients, including CT radiomics and clinical information. An ensemble approach involving correlation analysis, score screening, and the Sparse-L1 algorithm was used to select functional features, which were then used to build Cox Proportional Hazards models (CPH). Our CPH achieved a 0.70 concordance index in testing. The model identified two CT-based radiomics features, Gradient-Neighboring-Gray-Tone-Difference-Matrix-Strength (GNS) and normalized-Wavelet-LLL-Gray-Level-Dependence-Matrix-Large-Dependence-High-Gray-Level-Emphasis (HLE), as well as stage and alcohol usage, as survival biomarkers. The GNS group with values above 14 showed a hazard ratio of 0.12 and a 3-year survival rate of about 90%. Conversely, the GNS group with values less than or equal to 14 had a 49% survival rate. For normalized HLE, the high-end group (HLE > - 0.415) had a hazard ratio of 2.41, resulting in a 3-year survival rate of 70%, while the low-end group (HLE ≤ - 0.415) had a 36% survival rate. These findings contribute to our knowledge of how radiomics can be used to predict the outcome so that treatment plans can be tailored for patients people with OSCC to improve their survival.
    MeSH term(s) Humans ; Squamous Cell Carcinoma of Head and Neck/diagnostic imaging ; Retrospective Studies ; Carcinoma, Squamous Cell/diagnostic imaging ; Carcinoma, Squamous Cell/pathology ; Tomography, X-Ray Computed/methods ; Biomarkers ; Prognosis ; Mouth Neoplasms/diagnostic imaging ; Head and Neck Neoplasms
    Chemical Substances Biomarkers
    Language English
    Publishing date 2023-12-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-48048-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Identification of CT-based non-invasive Radiographic Biomarkers for Overall Survival Stratification in Oral Cavity Squamous Cell Carcinoma.

    Ling, Xiao / Alexander, Gregory S / Molitoris, Jason / Choi, Jinhyuk / Schumaker, Lisa / Mehra, Ranee / Gaykalova, Daria A / Ren, Lei

    Research square

    2023  

    Abstract: This study addresses the limited non-invasive tools for Oral Cavity Squamous Cell Carcinoma OSCC survival prediction by identifying Computed Tomography (CT)-based biomarkers for improved prognosis. A retrospective analysis was conducted on data from 149 ... ...

    Abstract This study addresses the limited non-invasive tools for Oral Cavity Squamous Cell Carcinoma OSCC survival prediction by identifying Computed Tomography (CT)-based biomarkers for improved prognosis. A retrospective analysis was conducted on data from 149 OSCC patients, including radiomics and clinical. An ensemble approach involving correlation analysis, score screening, and the Sparse-L1 algorithm was used to select functional features, which were then used to build Cox Proportional Hazards models (CPH). Our CPH achieved a 0.70 concordance index in testing. The model identified two CT-based radiomics features, Gradient-Neighboring-Gray-Tone-Difference-Matrix-Strength (GNS) and normalized-Wavelet-LLL-Gray-Level-Dependence-Matrix-Large-Dependence-High-Gray-Level-Emphasis (HLE), as well as smoking and alcohol usage, as survival biomarkers. The GNS group with values above 14 showed a hazard ratio of 0.12 and a 3-year survival rate of about 90%. Conversely, the GNS group with values less than or equal to 14 had a 49% survival rate. For normalized HLE, the high-end group (HLE > -0.415) had a hazard ratio of 2.41, resulting in a 3-year survival rate of 70%, while the low-end group (HLE <= -0.415) had a 36% survival rate. These findings contribute to our knowledge of how radiomics can be used to anticipate the outcome and tailor treatment plans from people with OSCC.
    Language English
    Publishing date 2023-08-23
    Publishing country United States
    Document type Preprint
    DOI 10.21203/rs.3.rs-3263887/v1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Identification of CT-based non-invasive radiomic biomarkers for overall survival prediction in oral cavity squamous cell carcinoma

    Xiao Ling / Gregory S. Alexander / Jason Molitoris / Jinhyuk Choi / Lisa Schumaker / Ranee Mehra / Daria A. Gaykalova / Lei Ren

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    2023  Volume 14

    Abstract: Abstract This study addresses the limited non-invasive tools for Oral Cavity Squamous Cell Carcinoma (OSCC) survival prediction by identifying Computed Tomography (CT)-based biomarkers to improve prognosis prediction. A retrospective analysis was ... ...

    Abstract Abstract This study addresses the limited non-invasive tools for Oral Cavity Squamous Cell Carcinoma (OSCC) survival prediction by identifying Computed Tomography (CT)-based biomarkers to improve prognosis prediction. A retrospective analysis was conducted on data from 149 OSCC patients, including CT radiomics and clinical information. An ensemble approach involving correlation analysis, score screening, and the Sparse-L1 algorithm was used to select functional features, which were then used to build Cox Proportional Hazards models (CPH). Our CPH achieved a 0.70 concordance index in testing. The model identified two CT-based radiomics features, Gradient-Neighboring-Gray-Tone-Difference-Matrix-Strength (GNS) and normalized-Wavelet-LLL-Gray-Level-Dependence-Matrix-Large-Dependence-High-Gray-Level-Emphasis (HLE), as well as stage and alcohol usage, as survival biomarkers. The GNS group with values above 14 showed a hazard ratio of 0.12 and a 3-year survival rate of about 90%. Conversely, the GNS group with values less than or equal to 14 had a 49% survival rate. For normalized HLE, the high-end group (HLE > − 0.415) had a hazard ratio of 2.41, resulting in a 3-year survival rate of 70%, while the low-end group (HLE ≤ − 0.415) had a 36% survival rate. These findings contribute to our knowledge of how radiomics can be used to predict the outcome so that treatment plans can be tailored for patients people with OSCC to improve their survival.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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