Literature DB >> 34063938

Application of the Interaction between Tissue Immunohistochemistry Staining and Clinicopathological Factors for Evaluating the Risk of Oral Cancer Progression by Hierarchical Clustering Analysis: A Case-Control Study in a Taiwanese Population.

Hui-Ching Wang1,2,3,4, Meng-Chun Chou5, Chun-Chieh Wu4,6, Leong-Perng Chan3,7,8, Sin-Hua Moi9, Mei-Ren Pan1,4, Ta-Chih Liu10, Cheng-Hong Yang11,12.   

Abstract

The aim of this single-center case-control study is to investigate the feasibility and accuracy of oral cancer protein risk stratification (OCPRS) to analyze the risk of cancer progression. All patients diagnosed with oral cancer in Taiwan, between 2012 and 2014, and who underwent surgical intervention were selected for the study. The tissue was further processed for immunohistochemistry (IHC) for 21 target proteins. Analyses were performed using the results of IHC staining, clinicopathological characteristics, and survival outcomes. Novel stratifications with a hierarchical clustering approach and combinations were applied using the Cox proportional hazard regression model. Of the 163 participants recruited, 102 patients were analyzed, and OCPRS successfully identified patients with different progression-free survival (PFS) profiles in high-risk (53 subjects) versus low-risk (49 subjects) groups (p = 0.012). OCPRS was composed of cytoplasmic PLK1, phosphoMet, and SGK2 IHC staining. After controlling for the influence of clinicopathological features, high-risk patients were 2.33 times more likely to experience cancer progression than low-risk patients (p = 0.020). In the multivariate model, patients with extranodal extension (HR = 2.66, p = 0.045) demonstrated a significantly increased risk for disease progression. Risk stratification with OCPRS provided distinct PFS groups for patients with oral cancer after surgical intervention. OCPRS appears suitable for routine clinical use for progression and prognosis estimation.

Entities:  

Keywords:  oral cancer; progression-free survival; risk stratification

Year:  2021        PMID: 34063938     DOI: 10.3390/diagnostics11060925

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  42 in total

1.  Hierarchical clustering in evaluating inflammatory upper airway phenotypes; increased symptoms in adults with allergic multimorbidity.

Authors:  Tanzeela Hanif; Anu Laulajainen-Hongisto; Annika Luukkainen; Jura Numminen; Janne Kääriäinen; Jyri Myller; Livije Kalogjera; Heini Huhtala; Matti Kankainen; Risto Renkonen; Sanna Toppila-Salmi
Journal:  Asian Pac J Allergy Immunol       Date:  2019-06-04       Impact factor: 2.310

2.  Metabolomic analysis of the saliva of Japanese patients with oral squamous cell carcinoma.

Authors:  Mitsuyoshi Ohshima; Keisuke Sugahara; Kiyohiro Kasahara; Akira Katakura
Journal:  Oncol Rep       Date:  2017-04-06       Impact factor: 3.906

3.  Immunohistochemical expression of TFIIH and XPF in oral tongue squamous cell carcinoma.

Authors:  Melka Coêlho Sá; Thalita Santana Conceição; Edilmar de Moura Santos; Everton Freitas de Morais; Hébel Cavalcanti Galvão; Roseana de Almeida Freitas
Journal:  Eur Arch Otorhinolaryngol       Date:  2019-12-11       Impact factor: 2.503

4.  A novel molecular signature identified by systems genetics approach predicts prognosis in oral squamous cell carcinoma.

Authors:  Chien-Hua Peng; Chun-Ta Liao; Shih-Chi Peng; Yin-Ju Chen; Ann-Joy Cheng; Jyh-Lyh Juang; Chi-Ying Tsai; Tse-Ching Chen; Yung-Jen Chuang; Chuan-Yi Tang; Wen-Ping Hsieh; Tzu-Chen Yen
Journal:  PLoS One       Date:  2011-08-11       Impact factor: 3.240

5.  Epidermal growth factor receptor intron-1 CA repeat polymorphism on protein expression and clinical outcome in Taiwanese oral squamous cell carcinoma.

Authors:  Shiang-Fu Huang; Huei-Tzu Chien; Wen-Yu Chuang; Chih-Hsiung Lai; Sou-De Cheng; Chun-Ta Liao; Hung-Ming Wang
Journal:  Sci Rep       Date:  2017-07-10       Impact factor: 4.379

6.  Hierarchical Clustering of DNA k-mer Counts in RNAseq Fastq Files Identifies Sample Heterogeneities.

Authors:  Wolfgang Kaisers; Holger Schwender; Heiner Schaal
Journal:  Int J Mol Sci       Date:  2018-11-21       Impact factor: 5.923

7.  Immunohistochemical Expression of Five Protein Combinations Revealed as Prognostic Markers in Asian Oral Cancer.

Authors:  Hui-Ching Wang; Chien-Jung Chiang; Ta-Chih Liu; Chun-Chieh Wu; Yi-Ting Chen; Jan-Gowth Chang; Grace S Shieh
Journal:  Front Genet       Date:  2021-04-15       Impact factor: 4.599

8.  Molecular alterations in oral carcinogenesis: significant risk predictors in malignant transformation and tumor progression.

Authors:  N G Shah; T I Trivedi; R A Tankshali; J A Goswami; J S Shah; D H Jetly; T P Kobawala; K C Patel; S N Shukla; P M Shah; R J Verma
Journal:  Int J Biol Markers       Date:  2007 Apr-Jun       Impact factor: 3.248

9.  Uncovering synthetic lethal interactions for therapeutic targets and predictive markers in lung adenocarcinoma.

Authors:  Jan-Gowth Chang; Chia-Cheng Chen; Yi-Ying Wu; Ting-Fang Che; Yi-Syuan Huang; Kun-Tu Yeh; Grace S Shieh; Pan-Chyr Yang
Journal:  Oncotarget       Date:  2016-11-08

10.  Cytoplasmic versus nuclear THR alpha expression determines survival of ovarian cancer patients.

Authors:  Nina Ditsch; Sabine Heublein; Udo Jeschke; Cornelia Sattler; Christina Kuhn; Anna Hester; Bastian Czogalla; Fabian Trillsch; Sven Mahner; Jutta Engel; Doris Mayr; Elisa Schmoeckel
Journal:  J Cancer Res Clin Oncol       Date:  2020-06-12       Impact factor: 4.553

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  1 in total

1.  Big data and artificial intelligence (AI) methodologies for computer-aided drug design (CADD).

Authors:  Jai Woo Lee; Miguel A Maria-Solano; Thi Ngoc Lan Vu; Sanghee Yoon; Sun Choi
Journal:  Biochem Soc Trans       Date:  2022-02-28       Impact factor: 4.919

  1 in total

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