Molecular characterisation in tongue squamous cell carcinoma reveals key variants potentially linked to clinical outcomes

Alsofyani, Abeer; Dallol, Ashraf; Farraj, Suha A.; Alsiary, Rawiah; Samkari, Alaa; Alhaj-Hussain, Baraa T.; Khan, Jalaluddin A.; Al-Maghrabi, Jaudah; Alkhayyat, Shadi; Alkhatabi, Heba; Elaimi, Aisha; Buhmeida, Abdelbaset; Johargy, Ayman; Abuzenadah, Adel M.; Azhar, Esam I.; Al‐Qahtani, Mohammed

doi:10.3233/cbm-190897

Cited by 4 publications

(6 citation statements)

References 22 publications

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“…PTEN was a recognized cancer suppressor gene that mutates at high frequencies in many cancers. A study of 44 oral tongue squamous cell carcinoma formalin fixed paraffin embedding cases with high throughput mutation analysis showed that PTEN (14%) had missense, nonsense, and code shift mutations (Alsofyani et al, 2020). Many studies on the underlying mechanisms of OSCC are based on the down-regulation of PTEN (Liu et al, 2019;Zhang et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Construction of Prognostic Risk Prediction Model of Oral Squamous Cell Carcinoma Based on Nine Survival-Associated Metabolic Genes

et al. 2021

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The aim was to investigate the independent prognostic factors and construct a prognostic risk prediction model to facilitate the formulation of oral squamous cell carcinoma (OSCC) clinical treatment plan. We constructed a prognostic model using univariate COX, Lasso, and multivariate COX regression analysis and conducted statistical analysis. In this study, 195 randomly obtained sample sets were defined as training set, while 390 samples constituted validation set for testing. A prognostic model was constructed using regression analysis based on nine survival-associated metabolic genes, among which PIP5K1B, NAGK, and HADHB significantly down-regulated, while MINPP1, PYGL, AGPAT4, ENTPD1, CA12, and CA9 significantly up-regulated. Statistical analysis used to evaluate the prognostic model showed a significant different between the high and low risk groups and a poor prognosis in the high risk group (P < 0.05) based on the training set. To further clarify, validation sets showed a significant difference between the high-risk group with a worse prognosis and the low-risk group (P < 0.05). Independent prognostic analysis based on the training set and validation set indicated that the risk score was superior as an independent prognostic factor compared to other clinical characteristics. We conducted Gene Set Enrichment Analysis (GSEA) among high-risk and low-risk patients to identify metabolism-related biological pathways. Finally, nomogram incorporating some clinical characteristics and risk score was constructed to predict 1-, 2-, and 3-year survival rates (C-index = 0.7). The proposed nine metabolic gene prognostic model may contribute to a more accurate and individualized prediction for the prognosis of newly diagnosed OSCC patients, and provide advice for clinical treatment and follow-up observations.

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Section: Discussionmentioning

confidence: 99%

Construction of Prognostic Risk Prediction Model of Oral Squamous Cell Carcinoma Based on Nine Survival-Associated Metabolic Genes

et al. 2021

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“…21 Sequencing studies are also helping identify other targets that could be used as biomarkers, with a recent study showing frequent mutations in TP53, PIK3CA, CDKN2A, EGFR, and PTEN. 22 Other genomics studies have identified other possible markers to help identify those with worse prognosis, including IER3 23 and SEMA3A exon 9 expression. 24 There's emerging data that liquid biopsy (circulating tumor cells) is showing promise in oncology and there is some preliminary data in oral cavity cancer.…”

Section: Discussionmentioning

confidence: 99%

Clinical Outcomes of Patients With pT1-T2N0 Oral Tongue Squamous Cell Carcinoma

Wilson

Lumley²,

Tan

et al. 2021

American Journal of Clinical Oncology

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Objective: The objective of this study was to evaluate the clinical outcomes in a cohort of patients with early-stage oral tongue squamous cell carcinoma (OTSCC). Materials and Methods:We conducted a retrospective analysis of patients with pT1-T2N0 (American Joint Committee on Cancer [AJCC] seventh edition) OTSCC treated from 2000 to 2018. Two-year actuarial rates of local regional control, cancer-specific survival, and overall survival were calculated for the entire cohort and patients with/without adjuvant radiation.Results: Ninety-six patients met the criteria with a median follow-up of 4 years; 14 had adjuvant radiation, while 82 had surgery alone. Twoyear local regional control was 82.7% (75.4% to 90.8%) for the entire cohort, 84.9% (77.8% to 93.2%) for surgery only, and 70.7% (50.2% to 99.6%) for patients with adjuvant radiation. Two-year progression-free survival was 82.7% (75.3% to 90.8%). Of the 20 patients with recurrence, 11 (55%) were successfully salvaged.Conclusion: Local regional recurrence remains modest in early-stage OTSCC, but salvage is possible with high survival rates.

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“…If adjuvant radiation therapy is administered to all patients with relevant prognostic factors, the recurrence rate and mortality of the disease can be reduced, but some patients will inevitably receive unnecessary radiotherapy, which could lead to morbidity and complications. Recently, with the rapid development of sequencing technology, gene mutations related to OTSCC and genetic biomarker candidates related to poor prognosis have been reported 29–31 . In addition, with the development of radiomics and machine learning techniques, radiomics signatures related to the prognosis of head and neck cancer have been developed, and prognostic prediction models have been reported 32–34 .…”

Section: Discussionmentioning

confidence: 99%

“…Recently, with the rapid development of sequencing technology, gene mutations related to OTSCC and genetic biomarker candidates related to poor prognosis have been reported. 29 , 30 , 31 In addition, with the development of radiomics and machine learning techniques, radiomics signatures related to the prognosis of head and neck cancer have been developed, and prognostic prediction models have been reported. 32 , 33 , 34 Through additional research on these genetic or radiomics biomarkers, the development of a predictive model that can more precisely predict the disease risk of pT1‐2N0 early stage OTSCC patients and select high‐risk patients in need of active treatment is necessary.…”

Section: Discussionmentioning

confidence: 99%

Long‐term outcomes of early stage oral tongue cancer: Main cause of treatment failure and second primary malignancy

Park

Lim

Koh

et al. 2022

Laryngoscope Investig Oto

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Objective: We attempted to investigate the long-term outcomes, prognostic factors, treatment failures, second primary malignancies, and salvage therapies in early (pT1-2N0) oral tongue squamous cell carcinoma (OTSCC). Methods:We retrospectively analyzed the medical records of 295 early stage OTSCC patients.Results: Two hundred ninety-five patients were enrolled. The average follow-up period was 64.5 months (range, 1-190 months). Five-year recurrence-free survival rate was 84.8% and disease-specific survival rate was 91.2%. On multivariate analysis, only the depth of invasion (DOI) exhibited significant correlations with the disease recurrence. Patient's age and DOI demonstrated a significant association with survival. A total of 53 recurrence and 35 death events occurred, with the main cause of treatment failure being regional or local recurrence. In recurrent cases, the success rate of salvage treatment was 42% at 5 years. During the follow-up period, second primary malignancy occurred in 13 patients, and 8 (61.5%) of those patients were successfully treated.Conclusions: In pT1-2N0 OTSCC, regional or local recurrence is the main recurrence pattern, whereas age and DOI >5 mm are significant prognostic factors related to recurrence and survival. Since several patients experienced second primary malignancies in the head and neck, careful and thorough surveillance may be required to detect second primary lesions.

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Molecular characterisation in tongue squamous cell carcinoma reveals key variants potentially linked to clinical outcomes

Cited by 4 publications

References 22 publications

Construction of Prognostic Risk Prediction Model of Oral Squamous Cell Carcinoma Based on Nine Survival-Associated Metabolic Genes

Construction of Prognostic Risk Prediction Model of Oral Squamous Cell Carcinoma Based on Nine Survival-Associated Metabolic Genes

Clinical Outcomes of Patients With pT1-T2N0 Oral Tongue Squamous Cell Carcinoma

Long‐term outcomes of early stage oral tongue cancer: Main cause of treatment failure and second primary malignancy

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