The aim of this study was to explore post-treatment speech impairments using English version of Speech Handicap Index (SHI) (first speech-specific questionnaire) in a cohort of oral cavity (OC) and oropharyngeal (OP) cancer patients. Sixty-three consecutive OC and OP cancer patients in follow-up participated in this study. Descriptive analyses have been presented as percentages, while Mann-Whitney U-test and Kruskall-Wallis test have been used for the quantitative variables. Statistical Package for Social Science-15 statistical software (SPSS Inc., Chicago, IL) was used for the statistical analyses. Over a third (36.1%) of patients reported their speech as either average or bad. Speech intelligibility and articulation were the main speech concerns for 58.8% and 52.9% OC and 31.6% and 34.2% OP cancer patients, respectively. While feeling of incompetent and being less outgoing were the speech-related psychosocial concerns for 64.7% and 23.5% OC and 15.8% and 18.4% OP cancer patients, respectively. Worse speech outcomes were noted for oral tongue and base of tongue cancers vs. tonsillar cancers, mean (SD) values were 56.7 (31.3) and 52.0 (38.4) vs. 10.9 (14.8) (P<0.001) and late vs. early T stage cancers 65.0 (29.9) vs. 29.3 (32.7) (P<0.005). The English version of the SHI is a reliable, valid and useful tool for the evaluation of speech in HNC patients. Over one-third of OC and OP cancer patients reported speech problems in their day-do-day life. Advanced T-stage tumors affecting the oral tongue or base of tongue are particularly associated with poor speech outcomes.
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http://dx.doi.org/10.1016/j.oraloncology.2012.01.001 | DOI Listing |
BMC Res Notes
January 2025
Department of Computer Engineering, Chungbuk National University, Chungdae-ro 1, Cheongju, 28644, Republic of Korea.
Background: Drug response prediction can infer the relationship between an individual's genetic profile and a drug, which can be used to determine the choice of treatment for an individual patient. Prediction of drug response is recently being performed using machine learning technology. However, high-throughput sequencing data produces thousands of features per patient.
View Article and Find Full Text PDFBiomark Res
January 2025
Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University180 Fenglin Road, Shanghai, 200032, China.
Background: Predicting the efficacy of immune-based therapy in patients with unresectable hepatocellular carcinoma (HCC) remains a clinical challenge. This study aims to evaluate the prognostic value of the systemic immune-inflammation index (SII) in forecasting treatment response and survival outcomes for HCC patients undergoing immune-based therapy.
Methods: We analyzed a cohort of 268 HCC patients treated with immune-based therapy from January 2019 to March 2023.
J Transl Med
January 2025
Department of Stem Cell and Regenerative Medicine, Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Background: It is worthwhile to establish a prognostic prediction model based on microenvironment cells (MCs) infiltration and explore new treatment strategies for triple-negative breast cancer (TNBC).
Methods: The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. The MCs index (MCI) was constructed using the least absolute shrinkage and selection operator Cox (LASSO-Cox) regression analysis.
Chin Med
January 2025
Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Zhejiang Chinese Medical University, Hangzhou, China.
Background: Paclitaxel-induced peripheral neuropathy (PIPN) is prevalent among patients receiving paclitaxel chemotherapy, which results in sensory abnormality as well as neuropathic pain. Conventional medications lack effectiveness on PIPN. Clinical trials identified beneficial effects of acupuncture on PIPN among patients receiving chemotherapy.
View Article and Find Full Text PDFCancer Metab
January 2025
Department of Neurosurgery, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
Invasiveness of pituitary adenoma is the main cause of its poor prognosis, mechanism of which remains largely unknown. In this study, the differential proteins between invasive and non-invasive pituitary tumors (IPA and NIPA) were identified by TMT labeled quantitative proteomics. The differential metabolites in venous bloods from patients with IPA and NIPA were analyzed by untargeted metabolomics.
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