Personalized medicine (PM) or precision medicine in oncology is an emerging approach for tumor treatment and prevention that takes into account inter- and intra-tumor variability in genes, tumor (immune) environment, and lifestyle and morbidities of each person diagnosed with cancer
19 September 2019 in Journal of Cachexia, Sarcopenia and Muscle
Background: Chemoradiation or bioradiation treatment (CRT/BRT) of locally advanced head and neck squamous cell carcinoma (LAHNSCC) comes with high toxicity rates, often leading to temporary tube feeding (TF) dependency. Cachexia is a common problem in LAHNSCC. Yet changes in body composition and muscle weakness during CRT/BRT are underexplored. Strong evidence on the effect of TF on body composition during treatment is lacking. The aim of this cohort study was to assess (i) the relationship of fat‐free mass index (FFMI) and handgrip strength (HGS) with CRT/BRT toxicity and outcome, (ii) body composition in patients treated with chemoradiation (cisplatin) vs. bioradiation (cetuximab), and (iii) the effect of the current TF regime on body composition and muscle strength.Methods: Locally advanced head and neck squamous cell carcinoma patients treated with CRT/BRT between January 2013 and December 2016 were included (n = 137). Baseline measurements of body composition (bioelectrical impedance analysis) and HGS were performed. Toxicity grades (Common Terminology Criteria for Adverse Events) were scored. In a subset of 69 patients, weight loss, body composition, and HGS were additionally assessed during and after CRT/BRT. TF was initiated according to the Dutch guidelines for malnutrition.Results: In this cohort (68% male, mean age 59 ± 8 years), the incidence of baseline muscle wasting, defined as FFMI < P10, was 29%. Muscle wasting was present in 23 of 100 (23%) chemoradiation patients and 17 of 37 (46%) bioradiation patients (P = 0.009). Muscle‐wasted patients required more unplanned hospitalizations during CRT (P = 0.035). In the chemoradiation subset, dose‐limiting toxicity was significantly higher in wasted vs. non‐wasted patients (57% vs. 25%, P = 0.004). Median follow‐up was 32 months. Multivariate Cox regression analysis identified muscle wasting as independent unfavourable prognostic factor for overall survival [hazard ratio 2.1 (95% CI 1.1–4.1), P = 0.022] and cisplatin as favourable prognostic factor [hazard ratio 0.3 (95% CI 0.2–0.6), P = 0.001]. Weight and HGS significantly decreased during CRT/BRT, −3.7 ± 3.5 kg (P < 0.001) and −3.1 ± 6.0 kg (P < 0.001), respectively. Sixty‐four per cent of the patients required TF 21 days (range 0–59) after CRT/BRT initiation. Total weight loss during CRT/BRT was significantly (P = 0.007) higher in the total oral diet group (5.5 ± 3.7 kg) compared with the TF group (3.0 ± 3.2 kg). Loss of FFM and HGS was similar in both groups.Conclusions: In LAHNSCC patients undergoing CRT/BRT, FFMI < P10 is an unfavourable prognostic factor for overall survival, treatment toxicity, and tolerance. Patients experience significant weight and FFM loss during treatment. Current TF regime attenuates weight loss but does not overcome loss of muscle mass and function during therapy. Future interventions should consider nutritional intake and additional strategies specifically targeting metabolism, loss of muscle mass, and function.
Glioblastoma (GBM) is the most malignant primary brain tumor for which no curative treatment options exist. Non-invasive qualitative (Visually Accessible Rembrandt Images (VASARI)) and quantitative (radiomics) imaging features to predict prognosis and clinically relevant markers for GBM patients are needed to guide clinicians. A retrospective analysis of GBM patients in two neuro-oncology centers was conducted. The multimodal Cox-regression model to predict overall survival (OS) was developed using clinical features with VASARI and radiomics features in isocitrate dehydrogenase (IDH)-wild type GBM. Predictive models for IDH-mutation, 06-methylguanine-DNA-methyltransferase (MGMT)-methylation and epidermal growth factor receptor (EGFR) amplification using imaging features were developed using machine learning. The performance of the prognostic model improved upon addition of clinical, VASARI and radiomics features, for which the combined model performed best. This could be reproduced after external validation (C-index 0.711 95% CI 0.64–0.78) and used to stratify Kaplan–Meijer curves in two survival groups (p-value < 0.001). The predictive models performed significantly in the external validation for EGFR amplification (area-under-the-curve (AUC) 0.707, 95% CI 0.582–8.25) and MGMT-methylation (AUC 0.667, 95% CI 0.522–0.82) but not for IDH-mutation (AUC 0.695, 95% CI 0.436–0.927). The integrated clinical and imaging prognostic model was shown to be robust and of potential clinical relevance. The prediction of molecular markers showed promising results in the training set but could not be validated after external validation in a clinically relevant manner. Overall, these results show the potential of combining clinical features with imaging features for prognostic and predictive models in GBM, but further optimization and larger prospective studies are warranted.
Purpose: Treatment options for recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) after failure of immune checkpoint inhibitor treatment and platinum-based chemotherapy are limited. Preliminary data suggested that monalizumab plus cetuximab had clinical activity in R/M HNSCC. Patients and Methods: INTERLINK-1 (NCT04590963) was a double-blind, phase III study. Participants with R/M HNSCC who had received immune checkpoint inhibitor therapy and progressed despite platinum-based chemotherapy were randomized 2:1 to monalizumab (750 mg, every 2 weeks) or placebo, plus cetuximab (400 mg/m2 loading dose, then 250 mg/m2, weekly). The primary endpoint was overall survival (OS) in participants with non-oropharyngeal cancer or human papillomavirus (HPV)-negative oropharyngeal cancer (HPV-unrelated analysis set). Secondary endpoints included progression-free survival and objective response rate. Results: At data cutoff, 216 participants were randomized in the HPV-unrelated analysis set: 145 to monalizumab plus cetuximab and 71 to placebo plus cetuximab. Median OS was 8.8 months for monalizumab plus cetuximab versus 8.6 months for placebo plus cetuximab (HR, 1.00; 95% confidence interval, 0.66–1.54); median progression-free survival was 3.6 versus 3.8 months, respectively (HR, 1.11; 95% confidence interval, 0.79–1.57); and the objective response rate was 15.2% versus 23.9%, respectively. INTERLINK-1 was terminated after a preplanned interim analysis showed that futility criteria were met (predetermined futility HR >0.874). Grade 3/4 treatment–related adverse events were reported in 18.3% and 17.2% of participants treated in the monalizumab and placebo arms, respectively. Conclusions: Monalizumab plus cetuximab did not improve OS compared with placebo plus cetuximab. The safety profile of the combination was consistent with safety observations for cetuximab monotherapy.