Central airway squamous metaplasia following radiation therapy mimicking local tumour recurrence.

Radiation therapy can result in injury to the lung parenchyma and central airways; the latter is less well documented in the literature. Here, we describe a 65-year-old Caucasian male, who developed focal endobronchial nodules and right main bronchial stenosis suggesting tumour recurrence, 32 months following curative intent concurrent chemoradiation therapy for Stage 3B squamous cell carcinoma of the lung. Computed tomography and positron emission tomography results are detailed. Flexible bronchoscopy with bronchial biopsies revealed squamous metaplasia rather than malignant tumour recurrence, with ongoing observation planned.

Central airway squamous metaplasia following radiation therapy mimicking local tumour recurrence.

Radiation therapy can result in injury to the lung parenchyma and central airways; the latter is less well documented in the literature. Here, we describe a 65-year-old Caucasian male, who developed focal endobronchial nodules and right main bronchial stenosis suggesting tumour recurrence, 32 months following curative intent concurrent chemoradiation therapy for Stage 3B squamous cell carcinoma of the lung. Computed tomography and positron emission tomography results are detailed. Flexible bronchoscopy with bronchial biopsies revealed squamous metaplasia rather than malignant tumour recurrence, with ongoing observation planned.

Plasma pre-treatment T790M relative allelic frequency in patients with advanced EGFR-mutated non-small cell lung cancer predicts treatment response to subsequent-line osimertinib.

BACKGROUND: Approximately half of all patients with advanced EGFR-mutant NSCLC will develop acquired resistance to first or second-generation EGFR tyrosine kinase inhibitors (EGFR-TKIs) with a T790M mutation. In the AURA3 trial, patients with a T790M mutation had a response rate of 71% to osimertinib, a third-generation EGFR-TKI. The response to osimertinib may vary according to plasma T790M mutation frequency. Our aim was to determine the effect of plasma T790M mutation load on treatment response to osimertinib in an Australian multi-institutional cohort. METHODS: We performed a retrospective study on patients treated with osimertinib in the second-line setting and beyond between 2016-2018 from ten centres in Australia, who had T790M mutations detected in tumour or plasma. The primary objective was to investigate if there was a difference in disease control rate (DCR) between patients with high vs. low T790M relative allelic frequency (RAF) as detected in plasma, using a 0.3 RAF cut-off, as determined by ddPCR or BEAMing PCR. Secondary objective was to determine the survival outcomes according to high versus low plasma T790M RAF. Additional analyses were performed to investigate the survival outcome for patients with plasma versus tissue T790M positivity. RESULTS: A total of 139 patients were included in this study. Patients with higher RAF demonstrated higher DCR (74% vs. 36%, P=0.02), however there was no statistically significant difference in survival outcomes in the two groups. Exploratory analysis showed that patients with tissue T790M+ had improved DCR compared with those with plasma T790M+ (89% vs. 68%, P=0.01) and longer progression free survival (median 15.4 vs. 9.7 months; HR 0.51, 95% CI: 0.34 to 0.77, P=0.003) and overall survival (median not reached, HR 0.51, 95% CI: 0.30 to 0.86, P=0.02). Patients who were tissue T790M+ demonstrated superior survival compared to plasma T790M+ after correcting for confounding variables in a multivariate model. CONCLUSIONS: DCR was superior in patients with higher plasma T790M mutation load versus lower plasma T790M mutational load, without significant survival benefit. Plasma T790M RAF is a potential predictive biomarker which should be investigated and validated in larger prospective studies.

Analytical approaches and estimands to take account of missing patient-reported data in longitudinal studies.

Patient-reported outcomes, such as quality of life, functioning, and symptoms, are used widely in therapeutic and behavioral trials and are increasingly used in drug development to represent the patient voice. Missing patient reported data is common and can undermine the validity of results reporting by reducing power, biasing estimates, and ultimately reducing confidence in the results. In this paper, we review statistically principled approaches for handling missing patient-reported outcome data and introduce the idea of estimands in the context of behavioral trials. Specifically, we outline a plan that considers missing data at each stage of research: design, data collection, analysis, and reporting. The design stage includes processes to prevent missing data, define the estimand, and specify primary and sensitivity analyses. The analytic strategy considering missing data depends on the estimand. Reviewed approaches include maximum likelihood-based models, multiple imputation, generalized estimating equations, and responder analysis. We outline sensitivity analyses to assess the robustness of the primary analysis results when data are missing. We also describe ad-hoc methods, including approaches to avoid. Last, we demonstrate methods using data from a behavioral intervention, where the primary outcome was self-reported cognition.

Systematic review of self-reported cognitive function in cancer patients following chemotherapy treatment.

PURPOSE: Cognitive symptoms are common in cancer patients, with up to 70% reporting cognitive symptoms following chemotherapy. These symptoms can have a major impact on how an individual functions in all aspects of their lives. This review evaluates self-reported cognitive function and its associations with neuropsychological tests and patient-reported outcomes in adult cancer patients who received chemotherapy treatment for a solid cancer. METHODS: A search of multiple databases (Medline, Ovid at Nursing, PsycINFO, Allied and Complementary Medicine) from 1936 to 2017 was conducted, identifying 1563 unique articles, of which 101 met inclusion criteria. RESULTS: Of the 101 included studies, 48 (47%) were cross-sectional and 38 (38%) longitudinal in design, with 12 (12%) randomised controlled trials. A minority (26%) incorporated a healthy control arm in the study design, whilst the majority (79%) were in women with breast cancer. There was diversity in the assessment of self-reported cognitive symptoms. A total of 43 of 44 studies that sought an association between self-reported cognitive function and patient-reported outcomes found a moderate to strong association. Overall, 31 studies showed a lack of association between self-reported cognitive symptoms and neuropsychological results, whilst 14 studies reported a significant association between the two, but the association was often restricted to limited cognitive domains. CONCLUSION: The review found widespread heterogeneity in the assessment of self-reported cognitive symptoms and consistently absent or weak association with neuropsychological test scores. IMPLICATIONS FOR CANCER SURVIVORS: This research highlights the need for a standardised approach to measurement of self-reported cognitive symptoms in cancer patients.

Using generalized estimating equations and extensions in randomized trials with missing longitudinal patient reported outcome data.

OBJECTIVE: Patient reported outcomes (PROs) are important in oncology research; however, missing data can pose a threat to the validity of results. Psycho-oncology researchers should be aware of the statistical options for handling missing data robustly. One rarely used set of methods, which includes extensions for handling missing data, is generalized estimating equations (GEEs). Our objective was to demonstrate use of GEEs to analyze PROs with missing data in randomized trials with assessments at fixed time points. METHODS: We introduce GEEs and show, with a worked example, how to use GEEs that account for missing data: inverse probability weighted GEEs and multiple imputation with GEE. We use data from an RCT evaluating a web-based brain training for cancer survivors reporting cognitive symptoms after chemotherapy treatment. The primary outcome for this demonstration is the binary outcome of cognitive impairment. Several methods are used, and results are compared. RESULTS: We demonstrate that estimates can vary depending on the choice of analytical approach, with odds ratios for no cognitive impairment ranging from 2.04 to 5.74. While most of these estimates were statistically significant (P < 0.05), a few were not. CONCLUSIONS: Researchers using PROs should use statistical methods that handle missing data in a way as to result in unbiased estimates. GEE extensions are analytic options for handling dropouts in longitudinal RCTs, particularly if the outcome is not continuous.

Evaluation of a Web-Based Cognitive Rehabilitation Program in Cancer Survivors Reporting Cognitive Symptoms After Chemotherapy.

Purpose Cognitive impairment is reported frequently by cancer survivors. There are no proven treatments. We evaluated a cognitive rehabilitation program (Insight) and compared it with standard care in cancer survivors self-reporting cognitive symptoms. Patients and Methods We recruited adult cancer survivors with a primary malignancy (excluding central nervous system malignancies) who had completed three or more cycles of adjuvant chemotherapy in the previous 6 to 60 months and reported persistent cognitive symptoms. All participants received a 30-minute telephone consultation and were then randomly assigned to the 15-week, home-based intervention or to standard care. Primary outcome was self-reported cognitive function (Functional Assessment of Cancer Therapy Cognitive Function [FACT-COG] perceived cognitive impairment [PCI] subscale): difference between groups after intervention (T2) and 6 months later (T3). Results A total of 242 participants were randomly assigned: median age, 53 years; 95% female. The primary outcome of difference in FACT-COG PCI was significant, with less PCI in the intervention group at T2 ( P < .001). This difference was sustained at T3 ( P < .001). At T2, there was a significant difference in all FACT-COG subscales, favoring the intervention. Neuropsychological results were not significantly different between the groups at T2 or T3. There were significantly lower levels of anxiety/depression and fatigue in the intervention group at T2. There were significant improvements in stress in the intervention group at both time points. There was no significant difference in quality of life between the groups at T2, but the intervention group had better quality of life at T3. Conclusion The intervention, Insight, led to improvements in cognitive symptoms compared with standard care. To our knowledge, this is the first large randomized controlled trial showing an improvement in self-reported cognitive function in cancer survivors, indicating that this intervention is a feasible treatment.

Predictive and prognostic value of circulating tumor cell detection in lung cancer: a clinician's perspective.

There is increasing evidence for the use of circulating tumor cells (CTCs) as a "liquid biopsy" for early detection of lung cancer recurrence, prognosticating disease and monitoring treatment response. Further, CTC molecular analysis and interrogation of single cells hold significant potential in providing insights into tumor biology and the metastatic process. Ongoing research will likely see the translation of CTCs as a prognostic and predictive biomarker in both small cell, and non-small cell, lung cancer to routine clinical practice.