Metabolic tumor volume and total lesion glycolysis as prognostic factors in head and neck cancer: Systematic review and meta‐analysis

Rijo-Cedeño, Jefferson; Mucientes, Jorge; Álvarez, Oscar; Royuela, Ana; Marcos, Sara Seijas; Romero, Jesús; García-Berrocal, José Ramón

doi:10.1002/hed.26461

Cited by 38 publications

(24 citation statements)

References 40 publications

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“…15 Thus, MTV and TLG are more comprehensive tools for tumour evaluation and have been shown to provide prognostic information in other cancers. [16][17][18][19] Further, by summing the MTV and TLG for all metabolically active tumours, we can calculate the total MTV (tMTV) and total TLG (tTLG) to gain knowledge about the patient's total tumour burden (disease burden). Some previous studies have shown the prognostic role of different clinical and histopathological parameters on overall survival (OS) in high-grade GEP NEN.…”

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confidence: 99%

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Volumetric parameters from [¹⁸F]FDG PET/CTpredicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms

Stokmo

Aly

Lothe

et al. 2022

J Neuroendocrinology

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A positive fluorine-18 labelled 2-deoxy-2-fluoroglucose ([ 18 F]FDG) positron emission tomography/computed tomography (PET/CT) has been associated with more aggressive disease and less differentiated neuroendocrine neoplasms (NEN). Although a high maximum standardized uptake value (SUV max ) predicts poor outcome in NEN, volumetric parameters from [ 18 F]FDG PET have not been evaluated for prognostication in a pure high-grade gastroenteropancreatic (GEP) NEN cohort. In this retrospective observational study, we evaluated the volumetric PET parameters total metabolic tumour volume (tMTV) and total total lesion glycolysis (tTLG) for independent prognostication of overall survival (OS). High-grade GEP NEN patients with [ 18 F]FDG PET/CT examination and biopsy within 90 days were included. Total MTV and tTLG were calculated using an adaptive thresholding software. Patients were dichotomised into low and high metabolic groups based on median tMTV and tTLG.OS was compared using Kaplan-Meier estimator and log-rank test. Uni and multivariable Cox regression was used to estimate effect sizes and adjust for tumour differentiation and SUV max . Sixty-six patients (median age 64 years) were included with 14 NET G3 and 52 NEC cases after histological re-evaluation. Median tMTV was 208 cm 3 and median tTLG 1899 g. Median OS in the low versus high tMTV-group was 21.2 versus 5.7 months (HR 2.53, p = 0.0007) and 22.8 versus 5.7 months (HR 2.42, p = 0.0012) in the tTLG-group. Adjusted for tumour differentiation and SUV max , tMTV and tTLG still predicted for poor OS, and both tMTV and tTLG were stronger prognostic parameters than SUV max . Both regression models showed a strong association between volumetric parameters and OS for both neuroendocrine tumours (NET) G3 and neuroendocrine carcinomas (NEC). OS for the tTLG low metabolic NEC was much higher than for the tTLG high metabolic NET G3 (18.3 vs. 5.7 months).High-grade GEP NEN patients with high tMTV or tTLG had a worse OS regardless of

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confidence: 99%

“…Most studies included NEN of all grades, and the authors noted that most studies did not make a clear distinction between NET G3 and NEC. This review included 23 studies with a total of 1799 patients, and showed an adjusted hazard ratio (HR) = 3.16 for [ 18 F]FDG PET/CT as prognostic for OS 22 .…”

mentioning

confidence: 99%

Volumetric parameters from [¹⁸F]FDG PET/CTpredicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms

Stokmo

Aly

Lothe

et al. 2022

J Neuroendocrinology

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“…[ 10 ] The present results that demonstrate a significant association between higher TLG and shorter survivals (OS and DMFS) are in agreement with these previous results. [ 2 – 4 , 10 , 11 ]…”

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confidence: 99%

Total lesion glycolysis as a predictor of clinical T3–4a laryngeal cancer with laryngectomy or nonlaryngectomy

et al. 2021

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The purpose of the present study is to investigate whether the 18 F-fluorodeoxyglucose ( 18 F-FDG) uptake parameter is related to survival outcomes for patients with clinical T3 – T4a laryngeal cancer with various definitive treatments including total laryngectomy (TL). Parameters of 18 F-FDG uptake in the primary tumors of 46 cases which were assessed by positron emission tomography with computed tomography were enrolled in the present observation study. Monovariate or multivariate survival analyses were performed with log-rank test or Cox regression model, with the hazard ratio (HR) and 95% confidence interval (CI), respectively. Cutoff values of the 18 F-FDG uptake parameters were determined by the lowest P -value for monovariate overall survival. In the monovariate analysis, both metabolic tumor volume ≥13.1 and total lesion glycolysis (TLG) ≥46.5 were significantly associated with shorter overall survival, and TLG ≥46.5 was also related to a reduction in distant metastasis - free survival. In the multivariate analysis adjusting for clinical T classification (cT4/cT3) and treatment group (TL/non-TL), TLG (≥46.5/<46.5) was associated with both poorer overall (HR: 3.16, 95% CI: 1.10 – 9.49) and distant metastasis - free (HR: 8.91, 95% CI: 1.93 – 62.6) survival. In conclusion, TLG is a predictor for survival in laryngeal cancer.

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“…Then, there are a wide variety of genes and enzymes involved in glycolysis [ 29 ]. Researchers have also screened different genes and key enzymes in the glycolysis process through different research methods to predict prognostic conditions [ 30 ]. Regrettably, there is still no gold standard for a good prognosis in the process of glycolysis.…”

Section: Discussionmentioning

confidence: 99%

Identification of Metabolism-Related Genes Influencing Prognosis of Multiple Myeloma Patients

Wang¹,

Bu²,

Yang³

2021

Journal of Healthcare Engineering

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Multiple myeloma (MM) is the second most commonly diagnosed hematological malignancy. Understanding the basic mechanisms of the metabolism in MM may lead to new therapies that benefit patients. We collected the gene expression profile data of GSE39754 and performed differential analysis. Furthermore, identify the candidate genes that affect the prognosis of the differentially expressed genes (DEGs) related to the metabolism. Enrichment analysis is used to identify the biological effects of candidate genes. Perform coexpression analysis on the verified DEGs. In addition, the candidate genes are used to cluster MM into different subtypes through consistent clustering. Use LASSO regression analysis to identify key genes, and use Cox regression analysis to evaluate the prognostic effects of key genes. Evaluation of immune cell infiltration in MM is by CIBERSORT. We identified 2821 DEGs, of which 348 genes were metabolic-related prognostic genes and were considered candidate genes. Enrichment analysis revealed that the candidate genes are mainly related to the proteasome, purine metabolism, and cysteine and methionine metabolism signaling pathways. According to the consensus clustering method, we identified the two subtypes of group 1 and group 2 that affect the prognosis of MM patients. Using the LASSO model, we have identified 10 key genes. The prognosis of the high-risk group identified by Cox regression analysis is worse than that of the low-risk group. Among them, PKLR has a greater impact on the prognosis of MM, and the prognosis of MM patients is poor when the expression is high. In addition, the level of immune cell infiltration in the high-risk group is higher than that in the low-risk group. In the summary, metabolism-related genes significantly affect the prognosis of MM patients through the metabolic process of MM patients. PKLR may be a prognostic risk factor for MM patients.

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Metabolic tumor volume and total lesion glycolysis as prognostic factors in head and neck cancer: Systematic review and meta‐analysis

Cited by 38 publications

References 40 publications

Volumetric parameters from [¹⁸F]FDG PET/CTpredicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms

Volumetric parameters from [¹⁸F]FDG PET/CTpredicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms

Total lesion glycolysis as a predictor of clinical T3–4a laryngeal cancer with laryngectomy or nonlaryngectomy

Identification of Metabolism-Related Genes Influencing Prognosis of Multiple Myeloma Patients

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Metabolic tumor volume and total lesion glycolysis as prognostic factors in head and neck cancer: Systematic review and meta‐analysis

Cited by 38 publications

References 40 publications

Volumetric parameters from [18F]FDG PET/CTpredicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms

Volumetric parameters from [18F]FDG PET/CTpredicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms

Total lesion glycolysis as a predictor of clinical T3–4a laryngeal cancer with laryngectomy or nonlaryngectomy

Identification of Metabolism-Related Genes Influencing Prognosis of Multiple Myeloma Patients

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Volumetric parameters from [¹⁸F]FDG PET/CTpredicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms

Volumetric parameters from [¹⁸F]FDG PET/CTpredicts survival in patients with high‐grade gastroenteropancreatic neuroendocrine neoplasms