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Syed Haider

Publications and source records attributed to Syed Haider.

6 recordsLinked to original sources

Refining the Multivariable Predictive-Prognostic PREDICTR-OPC Model for Survival in Surgical Escalation for Oropharyngeal Squamous Cell Carcinoma.

OBJECTIVES: The PREDICTR-OPC model is the only prognostic classifier for oropharyngeal squamous cell carcinoma (OPSCC) also predictive of surgical outcomes. Of the four biomarkers included, survivin contributes minimally and presents practical limitations. This study aimed to refine and simplify the model by removing survivin, then re-assess its prognostic predictive performance compared to the original. METHODS: This retrospective cohort study analyzed a multi-center training cohort (n&#x2009;=&#x2009;600) and an external validation cohort (n&#x2009;=&#x2009;385) of OPSCC patients. Tumor biopsies were stained for p16, high-risk human papillomavirus (HR-HPV) DNA, tumor-infiltrating lymphocytes (TILs), and survivin and independently scored by at least three certified pathologists. Cox proportional hazards models assessed overall survival (OS), comparing three-biomarker (p16, HR-HPV, TILs) and four-biomarker models. Hazard ratios (HRs) for OS were estimated in the validation cohort, adjusting for covariates. Discrimination, calibration, and decision curve analysis (DCA) evaluated performance and clinical utility. RESULTS: Among 985 patients (median age: 57&#x2009;years), median OS&#x2009;=&#x2009;8.8&#x2009;years (95% CI: 6.9-10.5). The three-biomarker model yielded HR&#x2009;=&#x2009;4.10 (95% CI: 2.41-6.98, p&#x2009;<&#x2009;0.001) for high- vs. low-risk groups in the validation cohort, comparable to the four-biomarker model (HR&#x2009;=&#x2009;4.24, p&#x2009;<&#x2009;0.001). Surgery was associated with improved OS in high-risk (HR&#x2009;=&#x2009;0.45, p&#x2009;=&#x2009;0.001) but not low-risk (HR&#x2009;=&#x2009;0.83, p&#x2009;=&#x2009;0.72) patients, consistent with the original model. The models performed similarly across all metrics (e.g., Concordance Index: 0.71 vs. 0.72; Brier Score: 0.22 for both) as was model fit (Likelihood Ratio Test: p&#x2009;=&#x2009;0.066). DCA revealed comparable clinical benefit. CONCLUSION: Removing survivin preserves PREDICTR-OPC's predictive performance, offering a more cost-effective, easier-to-implement tool for OPSCC treatment recommendations.

Humans↗

Vascular toxicity of antineoplastic agents.

Among the various deleterious effects of cancer chemotherapy, vascular toxicity is the least well recognized. This lack of recognition may be because the vasculotoxic phenomena are not unique to antineoplastic agents, can occur in patients without exposure to these agents, and the fact cancer itself may produce a hypercoagulable state. As a result, many vascular events either go unnoticed, are ignored, and/or are attributed to the underlying malignancy. Many antineoplastic therapies are associated with various vascular phenomena that range from simple phelibitis to lethal microangiopathy. Recognition of these events is important to minimize the morbidity and even prevent unnecessary deaths. Herein we review the vascular syndromes that have been reported in association with antineoplastic agents.

Animals↗

Hepatotoxicity of chemotherapy.

The selection of a chemotherapeutic regimen for the oncology patient is based on a thorough assessment of potential hazards relating to the patient's clinical condition and the toxicities of chemotherapy. Liver function abnormalities are commonly seen in this patient population and deducing their aetiology may be difficult. Immunosuppression, paraneoplastic phenomena, infectious disease, metastases and polypharmacy may all confound the clinical picture. While criteria for standardising liver injury have been established, dose modifications often rely on empirical clinical judgement. Therefore, a comprehensive understanding of hepatotoxic manifestations for the most common chemotherapeutic agents is essential. This article reviews the hepatotoxicity of commonly utilised antineoplastic agents.

Antineoplastic Agents↗