Case Report: Limbic encephalitis following treatment with durvalumab for small-cell lung cancer.

Background: Durvalumab is an immune checkpoint Inhibitor (ICIs) that is used in the treatment of malignant tumors, such as lung cancer and melanoma. ICIs are associated with immune-related adverse events including autoimmune encephalitis, although both paraneoplastic phenomena and ICI treatment may lead to autoimmunity. Case presentation: We describe a 72-year old male patient with small-cell lung cancer, who during adjuvant treatment with Durvalumab developed GABABR1 and GAD65 antibodies and both diabetes and autoimmune limbic encephalitis. Because he was followed prospectively as part of a treatment study, we had access to repeated serum samples and cognitive assessments over time prior to developing encephalitis and diabetes, in addition to later assessments. A high titer of GABABR1 antibodies appeared early, while GAD65 antibodies appeared later with a lower titer in parallel with the development of diabetes. As he subsequently developed clinical signs of encephalitis, verified by EEG and brain MRI, he also had CSF GABABR1 antibodies. Durvalumab was discontinued and steroid treatment with subsequent plasmapheresis were started, resulting in reduction of both CSF and serum antibody levels. Clinical signs of encephalitis gradually improved. Conclusion: This case illustrates the importance of being aware of possible serious autoimmune adverse reactions, including neurological syndromes such as encephalitis, when treating patients with high risk of para-neoplasia with ICIs. In addition, the case shows the development of autoantibodies over time.

Fragmentation assessment of FFPE DNA helps in evaluating NGS library complexity and interpretation of NGS results.

Formalin-fixed paraffin-embedded (FFPE) tissue remains the most common source for DNA extraction from human tissue both in research and routine clinical practice. FFPE DNA can be considerably fragmented, and the amount of DNA measured in nanograms may not represent the amount of amplifiable DNA available for next-generation sequencing (NGS). Two samples with similar input DNA amounts in nanograms can yield NGS analyses of considerably different quality. Nevertheless, many protocols for NGS library preparation from FFPE DNA describe input DNA in nanograms without indication of a minimum requirement of amplifiable genome equivalent DNA. An important NGS quality metric is the library complexity, reflecting the number of DNA fragments from the original specimen represented in the final library. Aiming to illustrate the relationship between DNA fragmentation degree and library complexity, we assessed the fragmentation degree of 116 lung cancer FFPE DNA samples to calculate the amount of amplifiable input DNA used for library preparation. Mean unique coverage, coverage uniformity, and mean number of PCR duplicates with the same unique molecular identifier were used to evaluate library complexity. We showed that the amount of amplifiable input DNA predicted library complexity better than the input measured in nanograms. The frequent discrepancy between DNA amount in nanograms and the amount of amplifiable DNA indicate that the fragmentation degree should be considered when performing NGS of FFPE DNA. Importantly, the fragmentation assessment may help when interpreting NGS data and be a useful tool for evaluating library complexity in the absence of unique molecular identifiers.

DNA methylation-based age acceleration observed in IDH wild-type glioblastoma is associated with better outcome-including in elderly patients.

Elderly patients represent a growing proportion of individuals with glioblastoma, who however, are often excluded from clinical trials owing to poor expected prognosis. We aimed at identifying age-related molecular differences that would justify and guide distinct treatment decisions in elderly glioblastoma patients. The combined DNA methylome (450 k) of four IDH wild-type glioblastoma datasets, comprising two clinical trial cohorts, was interrogated for differences based on the patients' age, DNA methylation (DNAm) age acceleration (DNAm age "Horvath-clock" minus patient age), DNA methylation-based tumor classification (Heidelberg), entropy, and functional methylation of DNA damage response (DDR) genes. Age dependent methylation included 19 CpGs (p-value ≤ 0.1, Bonferroni corrected), comprising a CpG located in the ELOVL2 gene that is part of a 13-gene forensic age predictor. Most of the age related CpGs (n = 16) were also associated with age acceleration that itself was associated with a large number of CpGs (n = 50,551). Over 70% age acceleration-associated CpGs (n = 36,348) overlapped with those associated with the DNA methylation based tumor classification (n = 170,759). Gene set enrichment analysis identified associated pathways, providing insights into the biology of DNAm age acceleration and respective commonalities with glioblastoma classification. Functional methylation of several DDR genes, defined as correlation of methylation with gene expression (r ≤ -0.3), was associated with age acceleration (n = 8), tumor classification (n = 12), or both (n = 4), the latter including MGMT. DNAm age acceleration was significantly associated with better outcome in both clinical trial cohorts, whereof one comprised only elderly patients. Multivariate analysis included treatment (RT, RT/TMZ→TMZ; TMZ, RT), MGMT promoter methylation status, and interaction with treatment. In conclusion, DNA methylation features of age acceleration are an integrative part of the methylation-based tumor classification (RTK I, RTK II, MES), while patient age seems hardly reflected in the glioblastoma DNA methylome. We found no molecular evidence justifying other treatments in elderly patients, not owing to frailty or co-morbidities.

Associations Between Time to Treatment Start and Survival in Patients With Lung Cancer.

BACKGROUND: Time-to-treatment is defined as a quality indicator for cancer care but is not well documented. We investigated whether meeting Norwegian timeframes of 35/42 days from referral until start of chemotherapy or surgery/radiotherapy for lung cancer was associated with survival. PATIENTS AND METHODS: The medical records of 439 lung cancer patients at a regional cancer center were reviewed and categorized according to treatment: (i) surgery; ii) radical radiotherapy; iii) stereotactic radiotherapy; iv) palliative treatment, no cancer symptoms; v) palliative treatment with severe cancer symptoms). RESULTS: Proportions receiving timely treatment varied significantly at 39%, 48%, 10%, 44% and 89%, respectively (p<0.001). Overall, those starting treatment on time had the shortest median overall survival (10.6 vs. 22.6 months; p<0.001). This was also the case for palliative (5.3 vs. 11.4 months) (p<0.001) but not for curative treatment (not reached vs. 38.3 months) (p=0.038). CONCLUSION: Timely treatment is not necessarily associated with improved survival.

Adaptor Template Oligo-Mediated Sequencing (ATOM-Seq) is a new ultra-sensitive UMI-based NGS library preparation technology for use with cfDNA and cfRNA.

Liquid biopsy testing utilising Next Generation Sequencing (NGS) is rapidly moving towards clinical adoption for personalised oncology. However, before NGS can fulfil its potential any novel testing approach must identify ways of reducing errors, allowing separation of true low-frequency mutations from procedural artefacts, and be designed to improve upon current technologies. Popular NGS technologies typically utilise two DNA capture approaches; PCR and ligation, which have known limitations and seem to have reached a development plateau with only small, stepwise improvements being made. To maximise the ultimate utility of liquid biopsy testing we have developed a highly versatile approach to NGS: Adaptor Template Oligo Mediated Sequencing (ATOM-Seq). ATOM-Seq's strengths and versatility avoid the major limitations of both PCR- and ligation-based approaches. This technology is ligation free, simple, efficient, flexible, and streamlined, and it offers novel advantages that make it perfectly suited for use on highly challenging clinical material. Using reference and clinical materials, we demonstrate detection of known SNVs down to allele frequencies of 0.1% using as little as 20-25 ng of cfDNA, as well as the ability to detect fusions from RNA. We illustrate ATOM-Seq's suitability for clinical testing by showing high concordance rates between paired cfDNA and FFPE clinical samples.

Reasons for prolonged time for diagnostic workup for stage I-II lung cancer and estimated effect of applying an optimized pathway for diagnostic procedures.

BACKGROUND: Minimizing the time until start of cancer treatment is a political goal. In Norway, the target time for lung cancer is 42 days. The aim of this study was to identify reasons for delays and estimate the effect on the timelines when applying an optimal diagnostic pathway. METHODS: Retrospective review of medical records of lung cancer patients, with stage I-II at baseline CT, receiving curative treatment (n = 100) at a regional cancer center in Norway. RESULTS: Only 40% started treatment within 42 days. The most important delays were late referral to PET CT (n = 27) and exercise test (n = 16); repeated diagnostic procedures because bronchoscopy failed (n = 15); and need for further investigations after PET CT (n = 11). The time from referral to PET CT until the final report was 20.5 days in median. Applying current waiting time for PET CT (≤7 days), 48% would have started treatment within 42 days (p = 0.254). "Optimal pathway" was defined as 1) referral to PET CT and exercise test immediately after the CT scan and hospital visit, 2) tumor board discussion to decide diagnostic strategy and treatment, 3) referral to surgery or curative radiotherapy, 4) tissue sampling while waiting to start treatment. Applying the optimal pathway, current waiting time for PET CT and observed waiting times for the other procedures, 80% of patients could have started treatment within 42 days (p < 0.001), and the number of tissue sampling procedures could have been reduced from 112 to 92 (- 16%). CONCLUSION: Changing the sequence of investigations would significantly reduce the time until start of treatment in curative lung cancer patients at our hospital and reduce the resources needed.

Associations between severe co-morbidity and muscle measures in advanced non-small cell lung cancer patients.

BACKGROUND: Studies show that low skeletal muscle index (SMI) and low skeletal muscle density (SMD) are negative prognostic factors and associated with more toxicity from systemic therapy in cancer patients. However, muscle depletion can be caused by a range of diseases, and many cancer patients have significant co-morbidity. The aim of this study was to investigate whether there were associations between co-morbidity and muscle measures in patients with advanced non-small cell lung cancer. METHODS: Patients in a Phase III trial comparing two chemotherapy regimens in advanced non-small cell lung cancer were analysed (n = 436). Co-morbidity was assessed using the Cumulative Illness Rating Scale for Geriatrics (CIRS-G), which rates co-morbidity from 0 to 4 on 14 different organ scales. Severe co-morbidity was defined as having any grades 3 and 4 CIRS-G score. Muscle measures were assessed from baseline computed tomography slides at the L3 level using the SliceOMatic software. RESULTS: Complete data were available for 263 patients (60%). Median age was 66, 57.0% were men, 78.7% had performance status 0-1, 25.9% Stage IIIB, 11.4% appetite loss, 92.4% were current/former smokers, 22.8% were underweight, 43.7% had normal weight, 26.6% were overweight, and 6.8% obese. The median total CIRS-G score was 7 (range: 0-16), and 48.2% had severe co-morbidity. Mean SMI was 44.7 cm2 /m2 (range: 27-71), and the mean SMD was 37.3 Hounsfield units (HU) (range: 16-60). When comparing patients with and without severe co-morbidity, there were no significant differences in median SMI (44.5 vs. 44.1 cm2 /m2 ; 0.70), but patients with severe co-morbidity had a significantly lower median SMD (36 HU vs. 39 HU; 0.001), mainly due to a significant difference in SMD between those with severe heart disease and those without (32.5 vs. 37.9 HU; 0.002). Linear regression analyses confirmed the association between severe co-morbidity and SMD both in the simple analysis (0.001) and the multiple analysis (0.037) adjusting for baseline characteristics. Stage of disease, gender, and body mass index (BMI) were significantly associated with SMI in both the simple and multiple analyses. Age and BMI were significantly associated with SMD in the simple analysis; and age, gender, and BMI were significantly associated in the multiple analysis. CONCLUSIONS: There were no significant differences in SMI between patients with and patients without severe co-morbidity, but patients with severe co-morbidity had lower SMD than other patients, mainly due to severe heart disease. Co-morbidity might be a confounder in studies of the clinical role of SMD in cancer patients.

A comparison of CT based measures of skeletal muscle mass and density from the Th4 and L3 levels in patients with advanced non-small-cell lung cancer.

BACKGROUND: Muscle mass and density assessed from CT-images at the L3 level are prognostic for survival and predict toxicity in cancer patients. However, L3 is not always included on routine CT-scans. We aimed to investigate whether images at the Th4 level may be used instead. METHODS: Patients from three chemotherapy trials in advanced NSCLC were eligible (n = 1305). Skeletal muscle area (cm2), skeletal muscle index (SMI, cm2/m2) and skeletal muscle density (SMD) at Th4 and L3 levels were assessed from baseline CT-scans. SMI and SMD at the Th4 and L3 level were transformed into z-scores and the agreement between scores was investigated by Bland-Altman plots and estimated by intra-class correlation analyses. Linear regression was used to test if Th4 SMI and SMD z-scores predicted L3 SMI and SMD z-scores. RESULTS: CT-images from 401 patients were analysable at both levels. There was a moderate agreement between Th4 and L3 SMI z-scores with an intra-class correlation of 0.71 (95% CI 0.64-0.77) for men and 0.53 (95% CI 0.41-0.63) for women. Regression models predicting L3 SMI z-scores from Th4 SMI z-scores showed coefficients of 0.71 (95% CI 0.62-0.80) among men and 0.53 (95% CI 0.40-0.66) among women. R-squares were 0.51 and 0.28, respectively, indicating moderate agreement. A similar, moderate agreement between Th4 and L3 SMD z-scores was observed. CONCLUSION: There was only moderate agreement between muscle measures from Th4 and L3 levels, indicating that missing data from the L3 level cannot be replaced by analysing images at the Th4 level.

Expression of Estrogen Receptor-α and Survival in Advanced-stage Non-small Cell Lung Cancer.

BACKGROUND/AIM: The favorable prognosis of women with non-small-cell lung cancer (NSCLC) compared to men might be explained by sex hormone-related mechanisms. We investigated whether this observation could be explained by the expression of estrogen receptor-alpha (ER-α) in tumor tissue. MATERIALS AND METHODS: Archived, formalin fixed, paraffin embedded tumor tissue samples were retrospectively analyzed for nuclear expression of ER-α with immunohistochemistry. RESULTS: Biopsies from 222 patients were analyzed. Twenty-three percent were ER-α positive. Fifty-four percent of the patients were men and 46% of the tumors were adenocarcinomas. One hundred-nine (49%) patients received pemetrexed and carboplatin and 113 (51%) received gemcitabine and carboplatin. Females with ER-α positive tumors who received PC had a substantial survival benefit over all other groups (20 vs. 4.6 months; p=0.003). CONCLUSION: ER-α is an independent prognostic factor in advanced NSCLC and might also be a predictive factor for response to pemetrexed/carboplatin in women.

Survival in Limited Disease Small Cell Lung Cancer According to N3 Lymph Node Involvement.

BACKGROUND/AIM: There are several definitions of limited disease (LD) in small cell lung cancer (SCLC), differing with respect to N3 disease accepted. We analyzed patients from a randomized trial comparing two schedules of thoracic radiotherapy (TRT) in LD SCLC to investigate whether there were survival differences between N3 subcategories (n=144). PATIENTS AND METHODS: Patients with a baseline CT scan available were analysed. Patients received four courses of cisplatin/etoposide and TRT of 45 Gy/30 fractions (twice daily) or 42 Gy/15 fractions (once daily). RESULTS: Median overall survival (OS) was 23.3 months in the whole cohort. N3-patients (n=37) had shorter survival than those with N0-2 (16.7 vs. 33.0 months; p<0.001). There were no significant OS-differences between the N3 subcategories, but patients with metastases to two or more N3 regions had shorter survival than other N3 patients (13.4 vs. 19.9 months; p=0.011). CONCLUSION: There were no survival differences between the N3 subcategories, suggesting that all N3 disease should be considered as LD.

Muscle mass and association to quality of life in non-small cell lung cancer patients.

BACKGROUND: Cancer wasting is characterized by muscle loss and may contribute to fatigue and poor quality of life (QoL). Our aim was to investigate associations between skeletal muscle index (SMI) and skeletal muscle radiodensity (SMD) and selected QoL outcomes in advanced non-small cell lung cancer (NSCLC) at diagnosis. METHODS: Baseline data from patients with stage IIIB/IV NSCLC and performance status 0-2 enrolled in three randomized trials of first-line chemotherapy (n = 1305) were analysed. Associations between SMI (cm2 /m2 ) and SMD (Hounsfield units) based on computed tomography-images at the third lumbar level and self-reported physical function (PF), role function (RF), global QoL, fatigue, and dyspnoea were investigated by linear regression using flexible non-linear modelling. RESULTS: Complete data were available for 734 patients, mean age 65 years. Mean SMI was 47.7 cm2 /m2 in men (n = 420) and 39.6 cm2 /m2 in women (n = 314). Low SMI values were non-linearly associated with low PF and RF (men P = 0.016/0.020, women P = 0.004/0.012) and with low global QoL (P = 0.001) in men. Low SMI was significantly associated with high fatigue (P = 0.002) and more pain (P = 0.015), in both genders, but not with dyspnoea. All regression analyses showed poorer physical outcomes below an SMI breakpoint of about 42-45 cm2 /m2 for men and 37-40 cm2 /m2 for women. In both genders, poor PF and more dyspnoea were significantly associated with low SMD. CONCLUSIONS: Low muscle mass in NSCLC negatively affects the patients' PF, RF, and global QoL, possibly more so in men than in women. However, muscle mass must be below a threshold value before this effect can be detected.

Cancer cachexia associates with a systemic autophagy-inducing activity mimicked by cancer cell-derived IL-6 trans-signaling.

The majority of cancer patients with advanced disease experience weight loss, including loss of lean body mass. Severe weight loss is characteristic for cancer cachexia, a condition that significantly impairs functional status and survival. The underlying causes of cachexia are incompletely understood, and currently no therapeutic approach can completely reverse the condition. Autophagy coordinates lysosomal destruction of cytosolic constituents and is systemically induced by starvation. We hypothesized that starvation-mimicking signaling compounds secreted from tumor cells may cause a systemic acceleration of autophagy during cachexia. We found that IL-6 secreted by tumor cells accelerates autophagy in myotubes when complexed with soluble IL-6 receptor (trans-signaling). In lung cancer patients, were cachexia is prevalent, there was a significant correlation between elevated IL-6 expression in the tumor and poor prognosis of the patients. We found evidence for an autophagy-inducing bioactivity in serum from cancer patients and that this is clearly associated with weight loss. Importantly, the autophagy-inducing bioactivity was reduced by interference with IL-6 trans-signaling. Together, our findings suggest that IL-6 trans-signaling may be targeted in cancer cachexia.

Medical complexity and time to lung cancer treatment - a three-year retrospective chart review.

BACKGROUND: The time from a referral for suspected lung cancer is received at a hospital until treatment start has been defined as a quality indicator. Current Norwegian recommendation is that ≥70% should start surgery or radiotherapy within 42 calendar days and systemic therapy within 35 days. However, delays can occur due to medical complexity. The aim of this study was to quantify the proportion of patients who started treatment within the recommended timeframes; and to assess the proportion of non-complex patients for which there were no good reasons for delays. METHODS: We performed a retrospective chart review of all patients diagnosed with lung cancer at a university hospital during 2011-2013. We defined "non-complex" patients as those who underwent ≤1 tissue diagnostic procedure and had no delays due to comorbidity, intercurrent disease or complications to diagnostic procedures ("Medical delays") of more than three days. RESULTS: Four hundred forty-nine cases were analyzed; 142 (32%) had >1 tissue diagnostic procedures; 67 (15%) had medical delays >3 days; 262 (58%) were non-complex and 363 (81%) received treatment for lung cancer. Median number of days until surgery or radiotherapy was 48 (overall) and 41 (non-complex patients). The proportions who started surgery or radiotherapy within 42 days were 41% (overall) and 56% (non-complex). Corresponding numbers for systemic therapy were 29 days (overall) and 25 days (non-complex), and 64% (overall) and 80% (non-complex). CONCLUSION: Fewer lung cancer patients than desired started treatment within the recommended timeframes. Even among the least complex patients, too few patients received timely treatment. The reasons need to be identified and understood, and changes in the organization appear to be necessary in order to offer timely treatment to more patients.

Measurement of health-related quality of life during chemotherapy - the importance of timing.

BACKGROUND: Side effects of chemotherapy may occur at different time-points in the treatment cycle, and the exact assessment time relative to chemotherapy may affect HRQoL scores. The current study examined the variation of HRQoL during chemotherapy cycles, and whether differences in HRQoL scores varied at selected time-points between patients allocated to two different chemotherapy regimens. MATERIAL AND METHODS: Patients with stage IIIB or IV non-small-cell lung cancer (NSCLC) were randomly assigned to receive three cycles of carboplatin plus vinorelbine (VC) or gemcitabine (GC) every 3 weeks. HRQoL was reported on the EORTC QLQ-C30 and LC13 on days 1, 4, 8, 11 and 15 of every cycle. Global health status, nausea/vomiting, fatigue and dyspnea (LC13) were defined as the HRQoL scales of primary interest. RESULTS: Fifty-two patients were enrolled. Variation of mean scores of global health status, nausea/vomiting and fatigue showed a consistent pattern during chemotherapy. Day 4 appeared to be the time-point when chemotherapy influenced HRQoL the most. The differences in mean HRQoL scores between the two treatment arms varied at the different time-points, especially for nausea/vomiting. CONCLUSION: There was a clinically relevant variation of HRQoL during chemotherapy cycles, with increased symptom burden the first week following treatment. Our results suggest that timing of HRQoL assessment can influence the chances of detecting differences between the treatment regimens.

Drug Dose Per Kilogram Lean Body Mass Predicts Hematologic Toxicity From Carboplatin-Doublet Chemotherapy in Advanced Non-Small-Cell Lung Cancer.

BACKGROUND: Variations in lean body mass (LBM) have been suggested to explain variations in toxicity from systemic cancer treatment. We investigated if drug doses per kilogram of LBM were associated with severe hematologic toxicity (HT) in patients with stage IIIB/IV non-small-cell lung cancer (NSCLC) enrolled onto randomized trials comparing first-line carboplatin-doublets. PATIENTS AND METHODS: Patients received carboplatin (AUC [area under the plasma concentration vs. time curve] = 5) plus either pemetrexed 500 mg/m2, gemcitabine 1000 mg/m2, or vinorelbine 60 mg/m2. LBM was estimated from the cross-sectional muscle area at the third lumbar vertebra on computed tomographic scans. Administered doses on day 1, first cycle, were recalculated as milligram of drug per kilogram of LBM. Primary outcome was Common Terminology Criteria for Adverse Events version 3.0 grade 3/4 HT after cycle 1. RESULTS: Data from 424 patients were analyzed. Mean age was 65 years, 57% were men, and 78% had stage IV disease. Despite dose individualization by body surface area for the nonplatinum drugs, mean (range) doses expressed as mg/kg LBM showed ∼3-fold range: gemcitabine 38.0 (22.5-61.7) mg/kg LBM, pemetrexed 19.1 (8.1-27.9) mg/kg LBM, and vinorelbine 2.4 (1.4-3.6) mg/kg LBM. For these drugs, dose per kilogram of LBM was associated with HT in adjusted multivariate models (P = .004). Taking mean dose per kilogram LBM for each drug as reference, a 1% increase (odds ratio [OR] = 1.03; 95% confidence interval [CI], 1.01-1.06) or 1% decrease (OR = 0.97; 95% CI, 0.95-0.99) was associated with altered risk of grade 3/4 HT. For doses > 20% above and below mean (14% and 15% of patients, respectively) the risk of grade 3/4 HT was almost doubled (OR = 1.93, 95% CI, 1.21-3.10) and halved (OR = 0.52; 95% CI, 0.32-0.83), respectively. CONCLUSION: Dose per kilogram of LBM varied considerably and was an independent predictor of HT. Computed tomography-defined LBM may provide a future basis for better dose individualization.

Tumour size reduction after the first chemotherapy-course and outcomes of chemoradiotherapy in limited disease small-cell lung cancer.

OBJECTIVES: Concurrent chemotherapy and thoracic radiotherapy (TRT) is recommended for limited disease small-cell lung cancer (LD SCLC). TRT should start as early as possible, often meaning with the second course due to patient referral time and the fact that TRT planning takes time. Early assessment of response to the first course of chemotherapy may be a useful way to individualise treatment. The aims of this study were to assess tumour size reduction after the first chemotherapy-course, and whether this reduction was associated with outcomes in LD SCLC. MATERIAL AND METHODS: A randomised trial comparing twice-daily (45Gy/30 fractions) with once-daily (42Gy/15 fractions) TRT, given concurrently with four courses of cisplatin/etoposide (n=157) was the basis for this study. Tumour size was assessed on CT scans at baseline and planning scans for TRT according to RECIST 1.0. RESULTS: CT scans were available for 135 patients (86%). Ninety-four percent had a reduction in tumour size after the first chemotherapy-course. The median reduction in sum of diameters (SOD) of measurable lesions was ÷16mm (÷84 to +10mm), corresponding to ÷18% (÷51 to +12%). Eighty-two percent had stable disease, 18% partial response. Reduction in SOD was significantly associated with complete response at first follow-up (OR: 1.05, 95% CI 1.01-1.09; p=0.013), PFS (HR: 0.97, 95% CI 0.96-0.99; p=0.001), and overall survival (HR: 0.98, 95% CI 0.96-1.00; p=0.010). CONCLUSION: Response from the first course of chemotherapy had a significant positive association with outcomes from chemoradiotherapy, and might be used to stratify and randomise patients in future studies.

Comorbidity and outcomes of concurrent chemo- and radiotherapy in limited disease small cell lung cancer.

BACKGROUND: Many patients with limited disease small cell lung cancer (LD SCLC) suffer from comorbidity. Not all patients with comorbidity are offered standard treatment, though there is little evidence for such a policy. The aim of this study was to investigate whether patients with comorbidity had inferior outcomes in a LD SCLC cohort. MATERIAL AND METHODS: We analyzed patients from a randomized study comparing two three-week schedules of thoracic radiotherapy (TRT) plus standard chemotherapy in LD SCLC. Patients were to receive four courses of cisplatin/etoposide and TRT of 45 Gy/30 fractions (twice daily) or 42 Gy/15 fractions (once daily). Responders received prophylactic cranial irradiation (PCI). Comorbidity was assessed using the Charlson Comorbidity Index (CCI), which rates conditions with increased one-year mortality. RESULTS: In total 157 patients were enrolled between May 2005 and January 2011. Median age was 63 years, 52% were men, 16% had performance status 2, and 72% stage III disease. Forty percent had no comorbidity; 34% had CCI-score 1; 15% CCI 2; and 11% CCI 3-5. There were no significant differences in completion rates of chemotherapy, TRT or PCI across CCI-scores; or any significant differences in the frequency of grade 3-5 toxicity (p = 0.49), treatment-related deaths (p = 0.36), response rates (p = 0.20), progression-free survival (p = 0.18) or overall survival (p = 0.09) between the CCI categories. CONCLUSION: Patients with comorbidity completed and tolerated chemo-radiotherapy as well as other patients. There were no significant differences in response rates, progression-free survival or overall survival - suggesting that comorbidity alone is not a reason to withhold standard therapy in LD SCLC.

Skeletal muscle radiodensity is prognostic for survival in patients with advanced non-small cell lung cancer.

BACKGROUND & AIMS: Recent research indicates that severe muscular depletion (sarcopenia) is frequent in cancer patients and linked to cachexia and poor survival. Our aim was to investigate if measures of skeletal muscle hold prognostic information in advanced non-small cell lung cancer (NSCLC). METHODS: We included NSCLC patients with disease stage IIIB/IV, performance status 0-2, enrolled in three randomised trials of first-line chemotherapy (n = 1305). Computed tomography (CT) images obtained before start of treatment were used for body composition analyses at the level of the third lumbar vertebra (L3). Skeletal muscle mass was assessed by measures of the cross sectional muscle area, from which the skeletal muscle index (SMI) was obtained. Skeletal muscle radiodensity (SMD) was measured as the mean Hounsfield unit (HU) of the measured muscle area. A high level of mean HU indicates a high SMD. RESULTS: Complete data were available for 734 patients, mean age 65 years. Both skeletal muscle index (SMI) and muscle radiodensity (SMD) varied largely. Mean SMI and SMD were 47.7 cm2/m2 and 37.4 HU in men (n = 420), 39.6 cm2/m2 and 37.0 HU in women (n = 314). Multivariable Cox regression analyses, adjusted for established prognostic factors, showed that SMD was independently prognostic for survival (Hazard ratio (HR) 0.98, 95% CI 0.97-0.99, p = 0.001), whereas SMI was not (HR 0.99, 95% CI 0.98-1.01, p = 0.329). CONCLUSION: Low SMD is associated with poorer survival in advanced NSCLC. Further research is warranted to establish whether muscle measures should be integrated into routine practice to improve prognostic accuracy.

Comparing comorbidity scales: Attending physician score versus the Cumulative Illness Rating Scale for Geriatrics.

OBJECTIVES: Assessing comorbidity using the Cumulative Illness Rating Scale for Geriatrics (CIRS-G) and its comprehensive manual is time consuming. We investigated if similar information could be obtained by a simpler assessment based on the original CIRS. MATERIALS AND METHODS: Data from a randomized chemotherapy trial (RCT) on advanced NSCLC (non-small cell lung cancer) were analyzed. Baseline comorbidity was assessed by 1) trained oncologists using hospital records and the CIRS-G manual (CIRS-G), 2) by patients' oncologists/pulmonologists (local investigators=LI-score) using a brief set of instructions. By both methods, the severity of comorbidity in 14 organ systems was graded 0 (no problem) to 4 (extremely severe). The agreement between methods was assessed using Bland-Altman analysis and weighted kappa statistics. The impact of comorbidity on survival was analyzed by Cox regression. RESULTS: Complete data were available for 375/446 (84%) patients enrolled in the RCT. Median age was 65years (25-85). Overall, more comorbidities and higher severity were registered by the CIRS-G compared to the LI-score. Severe comorbidity was registered for 184 (49%) and 94 (25%) patients according to the CIRS-G and LI-scores, respectively. Mean total score was 7.0 (0-17) (CIRS-G) versus 4.2 (0-16) (LI-score), and mean severity index (total score/number of categories with score >0) was 1.73 (SD 0.46) versus 1.43 (SD 0.78). Neither the CIRS-G scores nor the LI-scores were prognostic for survival. CONCLUSION: The CIRS-G scores and LI-scores had poor agreement, indicating that assessment method affects the registration of comorbidity. Thorough descriptions of comorbidity registrations in trials are paramount due to lack of a standardized assessment.