Malnutrition prevalence in cancer patients in Belgium: The ONCOCARE study.

RATIONALE: Unintentional weight loss and malnutrition are common among cancer patients. Malnutrition has been associated with impaired health-related quality of life, less well-tolerated chemotherapy regimens and shorter life duration. In Belgium there is a lack of epidemiological data on malnutrition in oncology patients at advanced stages of the disease. METHODS: Malnutrition assessment data was collected through a prospective, observational study in 328 patients who started a neoadjuvant anticancer therapy regimen or who started 1st, 2nd or 3rd line anticancer therapy for a metastatic cancer via 3 visits according to regular clinical practice (baseline visit (BV) maximum 4 weeks before start therapy, 1st Follow up visit (FUV1) ± 6 weeks after start therapy, FUV2 ± 4 months after start therapy). Malnutrition screening was evaluated using the Nutritional Risk Screening score 2002 (NRS-2002)and the diagnosis of malnutrition by the GLIM criteria. In addition, SARC-F questionnaire and Fearon criteria were used respectively to screen for sarcopenia and cachexia. RESULTS: Prevalence of malnutrition risk at BV was high: 54.5% of the patients had a NRS ≥ 3 (NRS 2002) and increased during the study period (FUV1: 73.2%, FUV2: 70.1%). Prevalence of malnutrition based on physician subjective assessment (PSA) remained stable over the study period but was much lower compared to NRS results (14.0%-16.5%). At BV, only 10% of the patients got a nutrition plan and 43.9% received ≤ 70% of nutritional needs, percentage increased during FU period (FUV1: 68.4%, FUV2: 67.6%). Prevalence of sarcopenia and cachexia were respectively 12.4% and 38.1% at BV and without significant variation during the study period, but higher than assessed by PSA (11.6% and 6.7% respectively). Figures were also higher compared to PSA. There were modifications in cancer treatment at FUV1 (25.2%) and at FUV2 (50.8%). The main reasons for these modifications at FUV1 were adverse events and tolerability. Patient reported daily questionnaires of food intake showed early nutritional deficits, preceding clinical signs of malnutrition, and therefore can be very useful in the ambulatory setting. CONCLUSIONS: Prevalence of malnutrition and cachexia was high in advanced cancer patients and underestimated by physician assessment. Earlier and rigorous detection of nutritional deficit and adjusted nutritional intake could lead to improved clinical outcomes in cancer patients. Reporting of daily caloric intake by patients was also very helpful with regards to nutritional assessment.

Evaluation of the implementation of Value-Based Healthcare with a weekly digital follow-up of lung cancer patients in clinical practice.

OBJECTIVE: The aim of this study was to evaluate the implementation of Value-Based Healthcare principles for lung cancer patients in a large Belgian hospital. This hospital implemented a digital platform for the collection of patient-reported outcomes and the standardisation of care pathways. Also, a follow-up by the multidisciplinary care team was put in place. METHODS: Evaluation was done by employing a mixed method approach with data analysis of all included patients (n = 201), a pilot study (n = 30) and semi-structured interviews with the care team (n = 5). RESULTS: Overall, 95% of all lung cancer patients of two thoracic oncologists agreed to participate in the digital follow-up during the period January 2018 to September 2020 (201 participating patients). The response rates of those patients were high: 92% of the weekly questionnaires and 90% of the 6-weekly ICHOM questionnaires were responded. Based on the pilot study, we conclude that questions are clear and the platform is user-friendly for 90% of patients in the pilot. The interviews revealed that the weekly follow-up has a positive impact on the patient-provider communication and makes it easier to discuss psychological and palliative care needs. CONCLUSION: This study shows a successful implementation of Value Based Healthcare with weekly digital follow-up. Clinical trial registration is as follows: www. CLINICALTRIALS: gov, NCT04712149.

Patient-centric thresholding of Cobas® EGFR mutation Test v2 for surveillance of EGFR-mutated metastatic non-small cell lung cancer.

Cobas EGFR mutation Test v2 was FDA-approved as qualitative liquid biopsy for actionable EGFR variants in non-small cell lung cancer (NSCLC). It generates semiquantitative index (SQI) values that correlate with mutant allele levels, but decision thresholds for clinical use in NSCLC surveillance are lacking. We conducted long-term ctDNA monitoring in 20 subjects with EGFR-mutated NSCLC; resulting in a 155 on-treatment samples. We defined optimal SQI intervals to predict/rule-out progression within 12 weeks from sampling and performed orthogonal calibration versus deep-sequencing and digital PCR. SQI showed significant diagnostic power (AUC 0.848, 95% CI 0.782-0.901). SQI below 5 (63% of samples) had 93% (95% CI 87-96%) NPV, while SQI above 10 (25% of samples) had 69% (95% CI 56-80%) PPV. Cobas EGFR showed perfect agreement with sequencing (Kappa 0.860; 95% CI 0.674-1.00) and digital PCR. SQI values strongly (r: 0.910, 95% 0.821-0.956) correlated to mutant allele concentrations with SQI of 5 and 10 corresponding to 6-9 (0.2-0.3%) and 64-105 (1.1-1.6%) mutant allele copies/mL (VAF) respectively. Our dual-threshold classifier of SQI 0/5/10 yielded informative results in 88% of blood draws with high NPV and good overall clinical utility for patient-centric surveillance of metastatic NSCLC.

NMR-Metabolomics Reveals a Metabolic Shift after Surgical Resection of Non-Small Cell Lung Cancer.

BACKGROUND: Lung cancer can be detected by measuring the patient's plasma metabolomic profile using nuclear magnetic resonance (NMR) spectroscopy. This NMR-based plasma metabolomic profile is patient-specific and represents a snapshot of the patient's metabolite concentrations. The onset of non-small cell lung cancer (NSCLC) causes a change in the metabolite profile. However, the level of metabolic changes after complete NSCLC removal is currently unknown. PATIENTS AND METHODS: Fasted pre- and postoperative plasma samples of 74 patients diagnosed with resectable stage I-IIIA NSCLC were analyzed using 1H-NMR spectroscopy. NMR spectra (s = 222) representing two preoperative and one postoperative plasma metabolite profile at three months after surgical resection were obtained for all patients. In total, 228 predictors, i.e., 228 variables representing plasma metabolite concentrations, were extracted from each NMR spectrum. Two types of supervised multivariate discriminant analyses were used to train classifiers presenting a strong differentiation between the pre- and postoperative plasma metabolite profiles. The validation of these trained classification models was obtained by using an independent dataset. RESULTS: A trained multivariate discriminant classification model shows a strong differentiation between the pre- and postoperative NSCLC profiles with a specificity of 96% (95% CI [86-100]) and a sensitivity of 92% (95% CI [81-98]). Validation of this model results in an excellent predictive accuracy of 90% (95% CI [77-97]) and an AUC value of 0.97 (95% CI [0.93-1]). The validation of a second trained model using an additional preoperative control sample dataset confirms the separation of the pre- and postoperative profiles with a predictive accuracy of 93% (95% CI [82-99]) and an AUC value of 0.97 (95% CI [0.93-1]). Metabolite analysis reveals significantly increased lactate, cysteine, asparagine and decreased acetate levels in the postoperative plasma metabolite profile. CONCLUSIONS: The results of this paper demonstrate that surgical removal of NSCLC generates a detectable metabolic shift in blood plasma. The observed metabolic shift indicates that the NSCLC metabolite profile is determined by the tumor's presence rather than donor-specific features. Furthermore, the ability to detect the metabolic difference before and after surgical tumor resection strongly supports the prospect that NMR-generated metabolite profiles via blood samples advance towards early detection of NSCLC recurrence.

Application of an Ultrasensitive NGS-Based Blood Test for the Diagnosis of Early-Stage Lung Cancer: Sensitivity, a Hurdle Still Difficult to Overcome.

Diagnosis of lung cancer requires histological examination of a tissue sample, which in turn requires an invasive procedure that cannot always be obtained. Circulating tumor DNA can be reliably detected in blood samples of advanced-stage lung cancer patients and might also be a minimally invasive alternative for early-stage lung cancer detection. We wanted to explore the potential of targeted deep sequencing as a test for the diagnosis of early-stage lung cancer in combination with imaging. Mutation detection on cell-free DNA from pretreatment plasma samples of 51 patients with operable non-small cell lung cancer was performed and results were compared with 12 control patients undergoing surgery for a non-malignant lung lesion. By using a variant allele frequency threshold of 1%, somatic variants were detected in 23.5% of patients with a median variant allele fraction of 3.65%. By using this threshold, we could almost perfectly discriminate early-stage lung cancer patients from controls. Our study results are discussed in the light of those from other studies. Notwithstanding the potential of today's techniques for the use of liquid biopsy-based cell-free DNA analysis, sensitivity of this application for early-stage lung cancer detection is currently limited by a biological background of somatic variants with low variant allele fraction.

Clinical implementation of value based healthcare: Impact on outcomes for lung cancer patients.

Value based Healthcare (VBHC) focuses on patient centered outcomes, by incorporating Patient Reported Outcome Measures (PROMS). Expectations on the benefits of VBHC are high, but few data are available that validate its routine use. We wanted to investigate if VBHC is feasible and beneficial for lung cancer patients in clinical practice. METHOD: We developed a digital transmural care pathway for lung cancer patients. During systemic therapy, patients digitally reported side effects weekly. Every six weeks, quality of life was reported trough EORTC questionnaires. Case-mix variables, treatment approaches and outcome indicators were systematically collected. We evaluated the compliance of the patients with the digitally reporting system and the impact of the care pathway on patient centered outcomes such as emergency department (ED) visits, time spent on the oncology day clinic, survival and quality of death. RESULTS: 221 lung cancer patients were included in the care pathway. 3091 weekly questionnaires were digitally collected. Compliance with the weekly digital follow-up was 92%: 2835 of 3091 questionnaires were completed. Patients in the care pathway had significantly less ED visits (3.5% vs 4.8%, p 0.04) and a shorter length of stay at the day clinic (2.5 h vs 4.1 h, p < 0,05) compared to routine clinical care. In stage IV lung cancer patients, overall survival was significantly higher in the care pathway (447 days (95% CI 379-663)) compared to routine care (286 days (95% CI 191-400)) (p = 0,025). CONCLUSION: Implementation of value based healthcare is feasible and beneficial in daily clinical care for lung cancer patients.

Shallow whole-genome sequencing of plasma cell-free DNA accurately differentiates small from non-small cell lung carcinoma.

BACKGROUND: Accurate lung cancer classification is crucial to guide therapeutic decisions. However, histological subtyping by pathologists requires tumor tissue-a necessity that is often intrinsically associated with procedural difficulties. The analysis of circulating tumor DNA present in minimal-invasive blood samples, referred to as liquid biopsies, could therefore emerge as an attractive alternative. METHODS: Concerning adenocarcinoma, squamous cell carcinoma, and small cell carcinoma, our proof of concept study investigates the potential of liquid biopsy-derived copy number alterations, derived from single-end shallow whole-genome sequencing (coverage 0.1-0.5×), across 51 advanced stage lung cancer patients. RESULTS: Genomic abnormality testing reveals anomalies in 86.3% of the liquid biopsies (16/20 for adenocarcinoma, 13/16 for squamous cell, and 15/15 for small cell carcinoma). We demonstrate that copy number profiles from formalin-fixed paraffin-embedded tumor biopsies are well represented by their liquid equivalent. This is especially valid within the small cell carcinoma group, where paired profiles have an average Pearson correlation of 0.86 (95% CI 0.79-0.93). A predictive model trained with public data, derived from 843 tissue biopsies, shows that liquid biopsies exhibit multiple deviations that reflect histological classification. Most notably, distinguishing small from non-small cell lung cancer is characterized by an area under the curve of 0.98 during receiver operating characteristic analysis. Additionally, we investigated how deeper paired-end sequencing, which will eventually become feasible for routine diagnosis, empowers tumor read enrichment by insert size filtering: for all of the 29 resequenced liquid biopsies, the tumor fraction could be increased in silico, thereby "rescuing" three out of five cases with previously undetectable alterations. CONCLUSIONS: Copy number profiling of cell-free DNA enables histological classification. Since shallow whole-genome sequencing is inexpensive and often fully operational at routine molecular laboratories, this finding has current diagnostic potential, especially for patients with lesions that are difficult to reach.

A Multicenter Study to Assess EGFR Mutational Status in Plasma: Focus on an Optimized Workflow for Liquid Biopsy in a Clinical Setting.

A multicenter study was performed to determine an optimal workflow for liquid biopsy in a clinical setting. In total, 549 plasma samples from 234 non-small cell lung cancer (NSCLC) patients were collected. Epidermal Growth Factor Receptor (EGFR) circulating cell-free tumor DNA (ctDNA) mutational analysis was performed using digital droplet PCR (ddPCR). The influence of (pre-) analytical variables on ctDNA analysis was investigated. Sensitivity of ctDNA analysis was influenced by an interplay between increased plasma volume (p < 0.001) and short transit time (p = 0.018). Multistep, high-speed centrifugation both increased plasma generation (p < 0.001) and reduced genomic DNA (gDNA) contamination. Longer transit time increased the risk of hemolysis (p < 0.001) and low temperatures were shown to have a negative effect. Metastatic sites were found to be strongly associated with ctDNA detection (p < 0.001), as well as allele frequency (p = 0.034). Activating mutations were detected in a higher concentration and allele frequency compared to the T790M mutation (p = 0.003, and p = 0.002, respectively). Optimization of (pre-) analytical variables is key to successful ctDNA analysis. Sufficient plasma volumes without hemolysis or gDNA contamination can be achieved by using multistep, high-speed centrifugation, coupled with short transit time and temperature regulation. Metastatic site location influenced ctDNA detection. Finally, ctDNA levels might have further value in detecting resistance mechanisms.

Unexpected slight fluorodeoxyglucose-uptake on positron emission tomography in a pulmonary hamartoma.

We report the case of a patient with suspected hamartoma with slight fluorodeoxyglucose (FDG) uptake on positron emission tomography (PET). Initially, follow-up with repeat computed tomography (CT) scan was proposed. Because of the risk for retro-obstructive pneumonia, and because there was a small increase in diameter of the lesion on CT, thoracotomy was proposed. Pathologic examination revealed a surprising and rare finding.