Open communication between patients and relatives about illness & death in advanced cancer-results of the eQuiPe Study.

OBJECTIVE: To assess the degree of openness of communication about illness and death between patients with advanced cancer and their relatives during the last three months of the patient's life, and its association with relatives' characteristics and bereavement distress. METHODS: We used data from bereaved relatives of patients with advanced cancer from the prospective, longitudinal, multicenter, observational eQuipe study. Univariate and multivariable linear regression analyses were used to assess the association between the degree of openness of communication (measured using the validated Caregivers' Communication with patients about Illness and Death scale), the a priori defined characteristics of the relatives, and the degree of bereavement distress (measured using the Impact of Event Scale). RESULTS: A total of 160 bereaved relatives were included in the analysis. The average degree of open communication about illness and death between patients with advanced cancer and their relatives was 3.86 on a scale of 1 to 5 (SE=0.08). A higher degree of open communication was associated with a lower degree of bereavement distress (p=0.003). No associations were found between the degree of open communication and the relatives' age (p=0.745), gender (p=0.196), level of education (p>0.773), (religious) worldview (p=0.435), type of relationship with the patient (p>0.548), or level of emotional functioning before the patient's death (p=0.075). CONCLUSIONS: Open communication about illness and death between patients and relatives seems to be important, as it is associated with a lower degree of bereavement distress. Healthcare professionals can play an important role in encouraging the dialogue. However, it is important to keep in mind that some people not feel comfortable talking about illness and death.

Strengths and challenges in current lung cancer care: Timeliness and diagnostic procedures in six Dutch hospitals.

OBJECTIVES: Timely diagnosis of lung cancer (LC) is crucial to achieve optimal patient care and outcome. Moreover, the number of procedures required to obtain a definitive diagnosis can have a large influence on the life expectancy of a patient. Here, adherence with existing Dutch guidelines for timeliness and type and number of invasive and imaging procedures was assessed. MATERIALS AND METHODS: 1096 patients with suspected LC were enrolled in this multicenter prospective study (NL9146). The overall survival, time from referral to the first appointment with the pulmonologist, time to diagnosis and treatment, and the number of imaging and invasive procedures were evaluated. Patients were divided into different diagnostic groupsearly- and advanced stage non-small-cell lung cancer (NSCLC), small-cell lung cancer (SCLC), large cell neuroendocrine carcinoma of the lung (LCNEC), patients without LC and patients without a definitive diagnosis. RESULTS: The majority of patients (66 %) received a definitive diagnosis within 5 weeks, although the time to diagnosis of early-stage LC patients and patients without LC was significantly longer comparted to advanced stage LC. An increase in invasive procedures was seen for early-stage LC compared to advanced stage LC and for 13 % of the advanced stage non-squamous NSCLC patients up to three additional invasive procedures were performed solely to obtain sufficient material for NGS. For patients without a definitive diagnosis, 50 % did undergo at least one invasive procedure, while 11 % did not wish to undergo any invasive procedures. CONCLUSION: These insights could aid in improved LC diagnostics and efficient implementation of new techniques like liquid biopsy and artificial intelligence. This may lead to more timely LC care, a decreased number of invasive procedures, less variability between the diagnostic trajectory of different patients and aid in obtaining a definitive diagnosis for all patients.

Trajectories of emotional functioning and experienced care of relatives in the last year of life of patients with advanced cancer: A longitudinal analysis of the eQuiPe study.

OBJECTIVE: Advanced cancer has a major impact on both patients and their relatives. To allow for personalized support, it is important to recognize which relatives will experience a decline in emotional functioning during the patient's last year of life, when this decline will occur, and what factors are associated with it. This study aimed to examine the trajectory of emotional functioning of relatives during that time and the characteristics associated with changes in this trajectory. METHODS: A prospective, longitudinal, multicenter, observational study in patients with advanced cancer and their relatives was conducted (eQuiPe). We analyzed relatives' changes in emotional functioning in the patient's last year using the EORTC QLQ-C30 and assessed associations with sociodemographic and care characteristics using multivariable mixed-effects analysis. RESULTS: 409 relatives completed ≥1 questionnaires during the patient's last year of life. Mean age was 64 years, 61% were female and 75% were the patient's partner. During this year, mean emotional functioning declined significantly over time from 73.9 to 64.6 (p = 0.023, effect size = 0.43). The type of relationship between relatives and patients (p = 0.002), patient' sleep problems (p = 0.033), and continuity of care (p = 0.002) were significantly associated with changes in emotional functioning. CONCLUSIONS: Relatives' emotional functioning declined during the patient's last year of life. Support for them, especially partners and relatives of patients with sleep problems, is important. Relatives who experienced more continuity of care had a less steep decline in emotional functioning.

The Effects of Artificial Intelligence Assistance on the Radiologists' Assessment of Lung Nodules on CT Scans: A Systematic Review.

To reduce the number of missed or misdiagnosed lung nodules on CT scans by radiologists, many Artificial Intelligence (AI) algorithms have been developed. Some algorithms are currently being implemented in clinical practice, but the question is whether radiologists and patients really benefit from the use of these novel tools. This study aimed to review how AI assistance for lung nodule assessment on CT scans affects the performances of radiologists. We searched for studies that evaluated radiologists' performances in the detection or malignancy prediction of lung nodules with and without AI assistance. Concerning detection, radiologists achieved with AI assistance a higher sensitivity and AUC, while the specificity was slightly lower. Concerning malignancy prediction, radiologists achieved with AI assistance generally a higher sensitivity, specificity and AUC. The radiologists' workflows of using the AI assistance were often only described in limited detail in the papers. As recent studies showed improved performances of radiologists with AI assistance, AI assistance for lung nodule assessment holds great promise. To achieve added value of AI tools for lung nodule assessment in clinical practice, more research is required on the clinical validation of AI tools, impact on follow-up recommendations and ways of using AI tools.

Are gastrointestinal problems, nutritional care, and nutritional care needs associated with quality of life in patients with advanced cancer? Results of the observational eQuiPe study.

PURPOSE: To assess the association of gastrointestinal problems, received nutritional care, and nutritional care needs with quality of life (QoL) in patients with advanced cancer. METHODS: A cross-sectional analysis within the observational prospective eQuiPe cohort study on experienced quality of care and QoL in patients with advanced cancer was performed. QoL and gastrointestinal problems were measured using the European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ)-C30. Received nutritional care (yes/no) and nutritional care needs (yes/a little bit/no) were measured by two questions. Gastrointestinal problems were categorized as clinically important based on the Giesinger thresholds. Univariable and multivariable linear regression analyses adjusted for age, gender, and treatment were used to analyze the association of gastrointestinal problems, received nutritional care, and nutritional care needs with QoL. RESULTS: Half of the 1080 patients with advanced cancer had clinically important gastrointestinal problems, 17% experienced nutritional care needs, and 14% received nutritional care. Multivariable analyses revealed that the presence of clinically important gastrointestinal problems (ß (95% CI): -13.0 (-15.6; -10.4)), received nutritional care (ß (95% CI): -5.1 (-8.5; -1.7)), and nutritional care needs (ß (95% CI): -8.7 (-11.9; -5.5)) were associated with a low QoL. CONCLUSION: Many patients with advanced cancer experience gastrointestinal problems, while only few patients receive nutritional care. These gastrointestinal problems, nutritional care needs, and nutritional care are associated with lower QoL, probably due to reversed causality or the irreversible nature of these problems in the palliative phase. More research on the relation of nutritional care, gastrointestinal problems, and QoL is needed to optimize nutritional support in end-of-life care.

Liquid biopsy-based decision support algorithms for diagnosis and subtyping of lung cancer.

OBJECTIVES: Pathologic subtyping of tissue biopsies is the gold standard for the diagnosis of lung cancer (LC), which could be complicated in cases of e.g. inconclusive tissue biopsies or unreachable tumors. The diagnosis of LC could be supported in a minimally invasive manner using protein tumor markers (TMs) and circulating tumor DNA (ctDNA) measured in liquid biopsies (LBx). This study evaluates the performance of LBx-based decision-support algorithms for the diagnosis of LC and subtyping into small- and non-small-cell lung cancer (SCLC and NSCLC) aiming to directly impact clinical practice. MATERIALS AND METHODS: In this multicenter prospective study (NL9146), eight protein TMs (CA125, CA15.3, CEA, CYFRA 21-1, HE4, NSE, proGRP and SCCA) and ctDNA mutations in EGFR, KRAS and BRAF were analyzed in blood of 1096 patients suspected of LC. The performance of individual and combined TMs to identify LC, NSCLC or SCLC was established by evaluating logistic regression models at pre-specified positive predictive values (PPV) of ≥95% or ≥98%. The most informative protein TMs included in the multi-parametric models were selected by recursive feature elimination. RESULTS: Single TMs could identify LC, NSCLC and SCLC patients with 46%, 25% and 40% sensitivity, respectively, at pre-specified PPVs. Multi-parametric models combining TMs and ctDNA significantly improved sensitivities to 65%, 67% and 50%, respectively. CONCLUSION: In patients suspected of LC, the LBx-based decision-support algorithms allowed identification of about two-thirds of all LC and NSCLC patients and half of SCLC patients. These models therefore show clinical value and may support LC diagnostics, especially in patients for whom pathologic subtyping is impossible or incomplete.

Diagnosing Non-Small Cell Lung Cancer by Exhaled Breath Profiling Using an Electronic Nose: A Multicenter Validation Study.

BACKGROUND: Despite the potential of exhaled breath analysis of volatile organic compounds to diagnose lung cancer, clinical implementation has not been realized, partly due to the lack of validation studies. RESEARCH QUESTION: This study addressed two questions. First, can we simultaneously train and validate a prediction model to distinguish patients with non-small cell lung cancer from non-lung cancer subjects based on exhaled breath patterns? Second, does addition of clinical variables to exhaled breath data improve the diagnosis of lung cancer? STUDY DESIGN AND METHODS: In this multicenter study, subjects with non-small cell lung cancer and control subjects performed 5 min of tidal breathing through the aeoNose, a handheld electronic nose device. A training cohort was used for developing a prediction model based on breath data, and a blinded cohort was used for validation. Multivariable logistic regression analysis was performed, including breath data and clinical variables, in which the formula and cutoff value for the probability of lung cancer were applied to the validation data. RESULTS: A total of 376 subjects formed the training set, and 199 subjects formed the validation set. The full training model (including exhaled breath data and clinical parameters from the training set) were combined in a multivariable logistic regression analysis, maintaining a cut off of 16% probability of lung cancer, resulting in a sensitivity of 95%, a specificity of 51%, and a negative predictive value of 94%; the area under the receiver-operating characteristic curve was 0.87. Performance of the prediction model on the validation cohort showed corresponding results with a sensitivity of 95%, a specificity of 49%, a negative predictive value of 94%, and an area under the receiver-operating characteristic curve of 0.86. INTERPRETATION: Combining exhaled breath data and clinical variables in a multicenter, multi-device validation study can adequately distinguish patients with lung cancer from subjects without lung cancer in a noninvasive manner. This study paves the way to implement exhaled breath analysis in the daily practice of diagnosing lung cancer. CLINICAL TRIAL REGISTRATION: The Netherlands Trial Register; No.: NL7025; URL: https://trialregister.nl/trial/7025.

Randomised controlled trial of first-line tyrosine-kinase inhibitor (TKI) versus intercalated TKI with chemotherapy for EGFR-mutated nonsmall cell lung cancer.

Introduction: Previous studies have shown interference between epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors and chemotherapy in the cell cycle, thus reducing efficacy. In this randomised controlled trial we investigated whether intercalated erlotinib with chemotherapy was superior compared to erlotinib alone in untreated advanced EGFR-mutated nonsmall cell lung cancer (NSCLC). Materials and methods: Treatment-naïve patients with an activating EGFR mutation, ECOG performance score of 0-3 and adequate organ function were randomly assigned 1:1 to either four cycles of cisplatin-pemetrexed with intercalated erlotinib (day 2-16 out of 21 days per cycle) followed by pemetrexed and erlotinib maintenance (CPE) or erlotinib monotherapy. The primary end-point was progression-free survival (PFS). Secondary end-points were overall survival, objective response rate (ORR) and toxicity. Results: Between April 2014 and September 2016, 22 patients were randomised equally into both arms; the study was stopped due to slow accrual. Median follow-up was 64 months. Median PFS was 13.7 months (95% CI 5.2-18.8) for CPE and 10.3 months (95% CI 7.1-15.5; hazard ratio (HR) 0.62, 95% CI 0.25-1.57) for erlotinib monotherapy; when compensating for number of days receiving erlotinib, PFS of the CPE arm was superior (HR 0.24, 95% CI 0.07-0.83; p=0.02). ORR was 64% for CPE versus 55% for erlotinib monotherapy. Median overall survival was 31.7 months (95% CI 21.8-61.9 months) for CPE compared to 17.2 months (95% CI 11.5-45.5 months) for erlotinib monotherapy (HR 0.58, 95% CI 0.22-1.41 months). Patients treated with CPE had higher rates of treatment-related fatigue, anorexia, weight loss and renal toxicity. Conclusion: Intercalating erlotinib with cisplatin-pemetrexed provides a longer PFS compared to erlotinib alone in EGFR-mutated NSCLC at the expense of more toxicity.

Emotional functioning during bereavement after the death of patients with advanced cancer and associated factors.

OBJECTIVE: The death of a loved one is considered to be the most stressful of all life events. However, the impact of bereavement on quality of life varies between individuals. The aim of our study was to assess emotional functioning (EF), which is a domain of quality of life, of bereaved relatives after the death of their loved one and its associated factors. METHOD: A prospective, longitudinal, multicenter, observational study on quality of care and quality of life of patients with advanced cancer and their relatives was conducted (eQuiPe). The association between EF of relatives during bereavement and the following factors was investigated: gender, type of relationship, educational level, pre-bereavement emotional and social functioning and global quality of life, social support pre- and during bereavement, anticipatory complicated grief, support of healthcare professionals during bereavement, age of patient and bereaved relative and duration of survival after primary cancer diagnosis. RESULTS: 150 bereaved relatives completed the bereavement questionnaire. In 41% of the bereaved relatives EF was ≤71, indicating clinically relevant low EF. Multivariable logistic regression showed that females experienced more often emotional problems (OR = 2.82). Emotional functioning pre-bereavement (OR = 0.96) and social support during bereavement (OR = 0.97) were associated with low EF during bereavement. CONCLUSIONS: Almost half of the bereaved relatives of patients with advanced cancer experienced low EF and this was associated with low EF pre-bereavement and low social support during bereavement. Support for relatives should be initiated before the patient's death. Future research is needed to investigate the impact of such support on relatives' wellbeing during bereavement.

Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC.

Introduction: Despite radical intent therapy for patients with stage III non-small-cell lung cancer (NSCLC), cumulative incidence of brain metastases (BM) reaches 30%. Current risk stratification methods fail to accurately identify these patients. As radiomics features have been shown to have predictive value, this study aims to develop a model combining clinical risk factors with radiomics features for BM development in patients with radically treated stage III NSCLC. Methods: Retrospective analysis of two prospective multicentre studies. Inclusion criteria: adequately staged [18F-fluorodeoxyglucose positron emission tomography-computed tomography (18-FDG-PET-CT), contrast-enhanced chest CT, contrast-enhanced brain magnetic resonance imaging/CT] and radically treated stage III NSCLC, exclusion criteria: second primary within 2 years of NSCLC diagnosis and prior prophylactic cranial irradiation. Primary endpoint was BM development any time during follow-up (FU). CT-based radiomics features (N = 530) were extracted from the primary lung tumour on 18-FDG-PET-CT images, and a list of clinical features (N = 8) was collected. Univariate feature selection based on the area under the curve (AUC) of the receiver operating characteristic was performed to identify relevant features. Generalized linear models were trained using the selected features, and multivariate predictive performance was assessed through the AUC. Results: In total, 219 patients were eligible for analysis. Median FU was 59.4 months for the training cohort and 67.3 months for the validation cohort; 21 (15%) and 17 (22%) patients developed BM in the training and validation cohort, respectively. Two relevant clinical features (age and adenocarcinoma histology) and four relevant radiomics features were identified as predictive. The clinical model yielded the highest AUC value of 0.71 (95% CI: 0.58-0.84), better than radiomics or a combination of clinical parameters and radiomics (both an AUC of 0.62, 95% CIs of 0.47-076 and 0.48-0.76, respectively). Conclusion: CT-based radiomics features of primary NSCLC in the current setup could not improve on a model based on clinical predictors (age and adenocarcinoma histology) of BM development in radically treated stage III NSCLC patients.

Quality of life and quality of care as experienced by patients with advanced cancer and their relatives: A multicentre observational cohort study (eQuiPe).

AIM: This study aims to assess the quality of life and quality of care as experienced by patients with advanced cancer and their relatives while taking their interdependency into account. METHODS: A prospective multicentre observational study (eQuiPe study) was conducted. Quality of life scores (EORTC QLQ-C30) was compared to a matched normative population and logistic regression analyses were conducted to assess the relation between high emotional functioning (EF, measured with the EORTC QLQ-C30) and experienced quality of care (IN-PATSAT32, CQ-index PC). RESULTS: In total, 1103 (65%) patients and 831 (71%) relatives completed the baseline questionnaire, including 699 unique patient-relative couples. Patients experienced lower EF than the normative population (78 versus 87, p < .001). Compared to patients, relatives reported clinically relevantly lower EF (69 versus 78, p < .001). Being more satisfied with care in general (p < .05) and clarity about the key health-care provider (p < .05) was positively associated with high EF in patients. For relatives, experienced continuity of care (p < .01) and information for the patient (p < .05) were positively associated with high EF. The EF of patients (p < .001) and relatives (p < .001) were positively associated with each other and continuity of care as perceived by relatives was positively associated with high EF in patients (p < .01). CONCLUSIONS: Patients with advanced cancer reported low levels of EF but their relatives reported even lower levels of EF. Experienced integrated organisation and satisfaction with care were positively related to EF. The interdependent relation between patients' and relatives' EF and their care experiences suggests that a family-centred approach can optimise palliative cancer care. TRIAL REGISTRATION: The eQuiPe study is registered as NTR6584 in the Netherlands Trial Register.

Bereaved relatives' quality of life before and during the COVID-19 pandemic: Results of the prospective, multicenter, observational eQuiPe study.

BACKGROUND: The death of a loved one is considered as one of the most stressful life events. During the COVID-19 pandemic, grief processes are potentially affected by measures such as social distancing and self-quarantine. AIM: The aim of this study was to give insight in the impact of the COVID-19 pandemic on quality of life, social support, and self-care of bereaved relatives of people with advanced cancer in order to evaluate whether care for bereaved relatives during the COVID-19 pandemic should be improved. DESIGN: A cross-sectional analysis using data from bereaved relatives of a prospective, longitudinal, multicenter, observational study on quality of care and quality of life of people with advanced cancer and their (bereaved) relatives (eQuiPe). SETTING/PARTICIPANTS: Quality of life, social support, and self-care of bereaved relatives who completed a questionnaire within 3-6 months after their relative died during COVID-19 (April-November 2020) were compared with bereaved relatives who completed this questionnaire pre-COVID-19 (April-November 2019). RESULTS: Ninety-one bereaved relatives were included in the analysis, 44 bereaved relatives completed the questionnaire pre-COVID-19 and 47 during COVID-19. The median age of the participants was 65 (IQR = 14) years and 58% were female. There were no significant differences between the pre-COVID-19 and during COVID-19 bereaved relatives in quality of life (68 vs 69), social support (17 vs 18), and self-care (20 vs 19). CONCLUSIONS: On the short-term, the COVID-19 pandemic did not have significant impact on bereaved relatives' wellbeing. However, long-term impact of the pandemic on their wellbeing should be assessed.

Therapy Monitoring of EGFR-Positive Non-Small-Cell Lung Cancer Patients Using ddPCR Multiplex Assays.

The detection of EGFR-sensitizing and EGFR-resistance mutations in advanced non-small-cell lung cancer patients is important for the selection and monitoring of EGFR tyrosine-kinase inhibitor therapy. Droplet digital PCR (ddPCR) multiplex assays allow for sensitive and simultaneous detection of multiple mutations in cell-free DNA (cfDNA) with a minimum of extract needed and at lower cost. Patients were screened for the EGFR tyrosine-kinase inhibitor-sensitizing mutations Ex19Del, L858R, L861Q, G719S, and S768I using a novel ddPCR pentaplex assay. Patients who tested positive subsequently were monitored during treatment for the EGFR-sensitizing mutation and two EGFR-resistance mutations, T790M and C797S, using a ddPCR monitor triplex assay. The ddPCR multiplex assays enabled reliable detection of each mutation with a fractional abundance of at least 0.1%. For six patients, longitudinal data were analyzed and the ddPCR results provided a good reflection of the course of the disease and radiologic response. This study confirms that ddPCR on cfDNA supports the diagnosis and therapy selection, and shows that ddPCR multiplex assays on cfDNA could be a valuable additional diagnostic tool for therapy monitoring of non-small-cell lung cancer patients.

'Care for Outcomes': systematic development of a set of outcome indicators to improve patient-relevant outcomes for patients with lung cancer.

OBJECTIVES: Measuring quality of care is important, however many of the quality indicators used do not focus on outcome of treatment and aspects which are valuable for patients and physicians. The project 'Care for Outcomes' aims to establish a relevant set of outcome indicators for lung cancer. SETTING: Network of seven large, non-university teaching hospitals in the Netherlands (Santeon). METHODS: By reviewing the literature, a list of potential outcome indicators for patients with lung cancer was composed and subsequently prioritised by expert's opinion. Three external parties, with expertise on lung cancer, clinical management and public health, evaluated and reduced the list of indicators to a working set. Finally, the resulting selection of outcome indicators was tested for feasibility and discrimination in patient data, by collecting retrospective data and performing regression and survival analyses. PARTICIPANTS: Development of the indicator set in six Santeon hospitals. Retrospective cohort study in 5922 patients diagnosed with lung cancer (all types and stages). RESULTS: Selected outcome indicators were divided into three levels of outcome (tiers). The first tier about survival and the process of recovery include mortality, survival, positive resection margins, rethoracotomy after resection and quality of life at baseline and after 3, 6 and 12 months. Tier 2 concerning the sustainability of the recovery include complications after resection and toxicity after chemotherapy and/or radiation. Tier 3 about sustainability of health revealed no measurable outcomes. The retrospective data collection showed differences between hospitals and variation in case mix. CONCLUSION: A relevant set of outcome indicators for lung cancer was systematically developed. This set has the potential to compare quality of care between hospitals and inform patients with lung cancer about outcomes. The project is ongoing in the current Santeon Value-Based Health Care programme through quality and improvement cycles.

Looking through the eyes of the multidisciplinary team: the design and clinical evaluation of a decision support system for lung cancer care.

BACKGROUND: Decision-making in lung cancer is complex due to a rapidly increasing amount of diagnostic data and treatment options. The need for timely and accurate diagnosis and delivery of care demands high-quality multidisciplinary team (MDT) collaboration and coordination. Clinical decision support systems (CDSSs) can potentially support MDTs in constructing a shared mental model of a patient case. This enables the team to assess the strength and completeness of collected diagnostic data, stratification for the right personalized therapy driven by clinical stage and other treatment-influencing factors, and adapt care management strategies when needed. Current CDSSs often have a suboptimal fit into the decision-making workflow, which hampers their impact in clinical practice. METHODS: A CDSS for multidisciplinary decision-making in lung cancer was designed to support the abovementioned goals through presentation of relevant clinical data in line with existing mental model structures of the MDT members. The CDSS was tested in a simulated multidisciplinary tumor board meeting for primary diagnosis and treatment selection, based on de-identified primary lung cancer cases (n=8). Decision course analysis, eye-tracking data and questionnaires were used to assess the impact of the CDSS on constructing shared mental models to improve the decision-making process and outcome. RESULTS: The CDSS supported the team in their self-correcting capacity for accurate diagnosis and TNM classification. It enabled cross-validation of diagnostic findings, surfaced discordance between diagnostic tests and facilitated cancer staging according the diagnostic evidence, as well as spotting contra-indications for personalized treatment selection. CONCLUSIONS: This study shows the potential of CDSS on clinical decision making, when these systems are properly designed in line with clinical thinking. The presented setup enables assessment of the impact of CDSS design on clinical decision making and optimization of CDSSs to maximize their effect on decision quality and confidence.

Correction of the NSE concentration in hemolyzed serum samples improves its diagnostic accuracy in small-cell lung cancer.

Neuron-specific enolase (NSE) is a well-known biomarker for the diagnosis, prognosis and treatment monitoring of small-cell lung cancer (SCLC). Nevertheless, its clinical applicability is limited since serum NSE levels are influenced by hemolysis, leading to falsely elevated results. Therefore, this study aimed to develop a hemolysis correction equation and evaluate its role in SCLC diagnostics. Two serum pools were spiked with increasing amounts of hemolysate obtained from multiple individuals. A hemolysis correction equation was obtained by analyzing the relationship between the measured NSE concentration and the degree of hemolysis. The equation was validated using intentionally hemolyzed serum samples, which showed that the correction was accurate for samples with an H-index up to 30 µmol/L. Correction of the measured NSE concentration in patients suspected of lung cancer caused an increase in AUC and a significantly lower cut-off value for SCLC detection when compared to uncorrected results. Therefore, a hemolysis correction equation should be used to correct falsely elevated NSE concentrations. Results of samples with an H-index above 30 µmol/L should not be reported to clinicians. Application of the equation illustrates the importance of hemolysis correction in SCLC diagnostics and questions the correctness of the currently used diagnostic cut-off value.

Randomised phase 3 study of adjuvant chemotherapy with or without nadroparin in patients with completely resected non-small-cell lung cancer: the NVALT-8 study.

BACKGROUND: Retrospective studies suggest that low molecular weight heparin may delay the development of metastasis in patients with resected NSCLC. METHODS: Multicentre phase 3 study with patients with completely resected NSCLC who were randomised after surgery to receive chemotherapy with or without nadroparin. The main exclusion criteria were R1/2 and wedge/segmental resection. FDG-PET was required. The primary endpoint was recurrence-free survival (RFS). RESULTS: Among 235 registered patients, 202 were randomised (nadroparin: n = 100; control n = 102). Slow accrual enabled a decrease in the number of patients needed from 600 to 202, providing 80% power to compare RFS with 94 events (α = 0.05; 2-sided). There were no differences in bleeding events between the two groups. The median RFS was 65.2 months (95% CI, 36-NA) in the nadroparin arm and 37.7 months (95% CI, 22.7-NA) in the control arm (HR 0.77 (95% CI, 0.53-1.13, P = 0.19). FDG-PET SUVmax ≥10 predicted a greater likelihood of recurrence in the first year (HR 0.48, 95% CI 0.22-0.9, P = 0.05). CONCLUSIONS: Adjuvant nadroparin did not improve RFS in patients with resected NSCLC. In this study, a high SUVmax predicted a greater likelihood of recurrence in the first year. CLINICAL TRIAL REGISTRATION: Netherlands Trial registry: NTR1250/1217.

Utilization of Molecular Testing and Survival Outcomes of Treatment with First- or Second-line Tyrosine Kinase Inhibitors in Advanced Non-small Cell Lung Cancer in a Dutch Population.

BACKGROUND/AIM: Epidermal growth factor receptor (EGFR) mutation testing is standard-of-care for advanced non-small cell lung cancer (NSCLC). Outcomes of second-/third-line compared to first-line tyrosine kinase inhibitors (TKIs) have shown conflicting results. We investigated utilization of molecular diagnostics and the outcomes of treatment with first-/second-line TKIs in patients with advanced NSCLC. MATERIALS AND METHODS: Retrospective analysis was carried out of 2,206 patients with stage IIIb/IV NSCLC treated between 2008 and 2014 in four hospitals in the Netherlands. RESULTS: The rate of performing molecular diagnostics increased from 20.8% to 74.4% in the study period. The median overall survival of EGFR mutation-positive patients treated with TKIs was superior compared to EGFR mutation-negative patients treated with chemotherapy (720 vs. 274 days, p<0.0001). No difference in overall survival was found between EGFR mutation-positive patients treated only with TKIs compared to those treated with chemotherapy prior to TKIs, or upon progression under TKIs. CONCLUSION: The rate of EGFR testing has improved, increasing the number of patients eligible for targeted therapy. Chemotherapy, prior or subsequent to TKIs, for the treatment of EGFR mutation-positive patients, did not result in significantly better overall survival compared to that achieved with TKIs alone.

Patient reported outcomes following stereotactic ablative radiotherapy or surgery for stage IA non-small-cell lung cancer: Results from the ROSEL multicenter randomized trial.

We report quality of life and indirect costs from patient reported outcomes from the ROSEL randomized control trial comparing stereotactic ablative radiotherapy (SABR, also known as stereotactic body radiotherapy or SBRT) versus surgical resection for medically operable stage IA non-small cell lung cancer. ROSEL closed prematurely after accruing and randomizing 22 patients. This exploratory analysis found the global health related quality of life and indirect costs to be significantly favorable and cheaper, with SABR.

Comparison of clinical outcome after first-line platinum-based chemotherapy in different types of KRAS mutated advanced non-small-cell lung cancer.

OBJECTIVES: As suggested by in-vitro data, we hypothesize that subtypes of KRAS mutated non-small cell lung cancer (NSCLC) respond differently to chemotherapy regimens. METHODS: Patients with advanced NSCLC and known KRAS mutation, treated with first-line platinum-based chemotherapy, were retrieved from hospital databases. PRIMARY OBJECTIVE: to investigate overall response rate (ORR), progression free survival (PFS) and overall survival (OS) between different types of platinum-based chemotherapy per type of KRAS mutation. RESULTS: 464 patients from 17 hospitals, treated between 2000 and 2013, were included. The majority of patients had stage IV disease (93%), had a history of smoking (98%) and known with an adenocarcinoma (91%). Most common types of KRAS mutation were G12C (46%), G12V (20%) and G12D (10%). Platinum was combined with pemetrexed (n=334), taxanes (n=68) or gemcitabine (n=62). Patients treated with taxanes had a significant improved ORR (50%) compared to pemetrexed (21%) or gemcitabine (25%; p<0.01). Patients treated with bevacizumab in addition to taxanes (n=38) had the highest ORR (62%). The PFS was significantly improved in patients treated with taxanes compared to pemetrexed (HR=0.72, p=0.02), but not OS (HR=0.87, p=0.41). In patients with G12V, significantly improved ORR (p<0.01) was observed for taxanes, but not PFS or OS. Patients with G12C or G12D mutation had comparable ORR, PFS and OS in all treatment groups. CONCLUSION: KRAS mutated NSCLC patients treated with taxane-based chemotherapy had best ORR. Response to chemotherapy regimens was different in types of KRAS mutation. Especially patients with G12V had better response to taxane treatment.