Introduction Nutritional treatment in head and neck squamous cell carcinoma cancer (HNSCC) patients undergoing radio-/chemo-radiotherapy (RT/CHRT) is complex and requires a multidisciplinary approach. In this study the real-time dynamic changes in serum metabolome during RT/CHRT in HNSCC patients were monitored using NMR-based metabolomics. Objectives The main goal was to find the metabolic markers that could help prevent of acute radiation sequelae (ARS) escalation. Methods 170 HNSCC patients were treated radically with RT/CHRT. Blood samples were collected weekly, starting from the day before the treatment and stopping within the week after the RT/CHRT completion, resulting in a total number of 1328 samples. 1 H NMR spectra were acquired on Bruker 400 MHz spectrometer at 310 K and analyzed using principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). Additional statistical analyses were performed on the quantified metabolites. Results PCA has detected a group of distinct outliers corresponding to ketone bodies (3HB, Ace, AceAce). These outliers were found to identify the individuals at high risk of weight loss, mainly by the 3HB changes, which was confirmed by the patients’ medical data. In the OPLS-DA models a transition from the lowest to the highest weight loss is seen, defining the metabolic time trajectories for the patients from the studied groups during RT/CHRT. 3HB is a relatively sensitive marker that allows earlier identification of the patients at higher risk of > 10% weight loss. Conclusion Our findings indicate that metabolic alterations, characteristic for malnutrition or cachexia, can be detected already at the beginning of the treatment, making it possible to monitor the patients with a higher risk of weight loss. Electronic supplementary material The online version of this article (10.1007/s11306-019-1576-4) contains supplementary material, which is available to authorized users.

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Objective(s): The aim of this analysis was to evaluate the platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), platelets (PLT), and neutrophil level for their prognostic value in patients with metastatic renal cell carcinoma (mRCC). Materials: We retrospectively reviewed medical records of 141 patients with mRCC (2006–2016). Univariate and multivariate analyses were performed with the Cox proportional hazards regression model. The cutoff value of NLR was “elevated” as >3.68 and the PLR cutoff value was “elevated” as >144.4. Results: The median PFS and OS were shorter in elevated NLR and PLR. A higher value of PLT was associated with worse median OS and higher neutrophil level with worse OS and PFS. In multivariate analysis, higher NLR (p = 0.007) and PLR (p = 0.006) were independent prognostic factors for shorter OS together with BMI ≤30 (p = 0.004), higher Fuhrman grade (p = 0.0002), lower level of hemoglobin (p= 0.010), and ZUBROD 2 (p = 0.0002). Higher PLR (p = 0.0002) was an independent negative prognostic factor for PFS together with higher Fuhrman grade (p = 0.001), higher neutrophil level (p = 0.001), and lower lymphocyte level (p = 0.013). Conclusion: Elevated pretreatment NLR, PLR, PLT, and neutrophil count are associated with shorter OS and PFS in patients with mRCC. NLR and PLR are independent prognostic factors for OS. However, PLR and neutrophil count are independent prognostic factors for PFS.

In the present study, we analyze the nuclear magnetic resonance (NMR) blood serum metabolic profiles of 106 head and neck squamous cell carcinoma (HNSCC) patients during radio (RT) and concurrent radio-chemotherapy (CHRT). Four different fractionation schemes were compared. The blood samples were collected weekly, from the day before the treatment until the last week of CHRT/RT. The NMR spectra were acquired on A Bruker 400 MHz spectrometer at 310 K and analyzed using multivariate methods. Seven metabolites were found significantly to be altered solely by radiotherapy: N-acetyl-glycoprotein (NAG), N-acetylcysteine, glycerol, glycolate and the lipids at 0.9, 1.3 and 3.2 ppm. The NMR results were correlated with the tissue volumes receiving a particular dose of radiation. The influence of the irradiated volume on the metabolic profile is weak and mainly limited to sparse correlations with the inflammatory markers, creatinine and the lymphocyte count in RT and the branched-chain amino-acids in CHRT. This is probably due to the optimal planning and delivery of radiotherapy improving sparing of the surrounding normal tissues and minimizing the differences between the patients (caused by the tumor location and size).

Anticancer treatment induces systemic molecular changes that could be detected at the level of biofluids. Understanding how human metabolism is influenced by these treatments is crucial to predict the individual response and adjust personalized therapies. Here, we aimed to compare profiles of metabolites in serum of head and neck cancer patients treated with concurrent chemo-radiotherapy, radiotherapy alone, or induction chemotherapy. Serum samples were analyzed by a targeted quantitative approach using combined direct flow injection and liquid chromatography coupled to tandem mass spectrometry, which allowed simultaneous quantification of 149 metabolites. There were 45 metabolites whose levels were significantly changed between pretreatment and within- or post-treatment serum samples, including 38 phospholipids. Concurrent chemo-radiotherapy induced faster and stronger effects than radiotherapy alone. On the other hand, chemotherapy alone did not result in significant changes. The decreased level of total phospholipids was the most apparent effect observed during the first step of the treatment. This corresponded to the loss of patients’ body mass, yet no correlation between both parameters was observed for individual patients. We concluded that different molecular changes were measured at the level of serum metabolome in response to different treatment modalities.