Wampfler, Jason A.

AbstractIntroductionPatients with small‐cell lung cancer (SCLC) have a very poor prognosis. However, a subset of SCLC achieves long‐term survival. The objective of this study was to investigate factors and pattern of long‐term survival in patients with limited‐stage small cell lung cancer (LS‐SCLC) who achieved a complete response (CR) after chemoradiotherapy.Patient and MethodsThis was a single‐center retrospective study. The analysis of hazard ratio (HR) and 95% confidence interval (CI) was performed using Cox proportional hazards model. For pattern analysis, the date of recurrence was used as the endpoint. The nominal categorical variables were analyzed by the χ2 test. Survival was estimated using the Kaplan–Meier model, and the results were reported as the median and interquartile range.ResultsWe identified 162 patients, median age was 64.7 (56.2–70.2) years, and 94 (58%) were females. Eighty‐one patients (50%) had recurrence during follow‐up. Gastroesophageal reflux disease (GERD) (HR, 0.65; 95% CI, 0.45–0.93; p = 0.016) and neurological paraneoplastic syndrome (PNS) (HR, 0.46; 95% CI, 0.29–0.72; p < 0.001) were independent factors associated with improved overall survival (OS). Patients with GERD had prolonged recurrence free survival (RFS) compared to patients without GERD (median, 29.1 months vs. 13.9 months, p < 0.001), whereas patients with neurological PNS had a reduced recurrence rate compared to those patients without neurological PNS (No. [%], 8 [20.5] vs. 73 [59.3], p < 0.001).ConclusionsPatients with LS‐SCLC achieving a CR after chemoradiotherapy, GERD, and neurological PNS were associated with improved OS. GERD and neurological PNS were associated with longer RFS and lower recurrence rate, respectively.

e19031 Background: Useful predictors of survival in cancer patients have been found including such as gender, race, age, marital status, state of disease and tumor location. We set to explore the prognostic value of baseline QOL assessments on overall survival in lung cancer patients. Methods: A total of 1,319 lung cancer patients were followed at Mayo Clinic between 1997 and 2007. Overall QOL was assessed by either Lung Cancer Symptom Scale (LCSS) or a single-item Linear Analogue Self Assessment (LASA) with comparable wording. QOL scores were transformed to a 0–100 scale with higher scores representing better status. Patients QOL scores assessed within the first 6 months of follow-up were dichotomized using a priori definition for clinically deficiency score (CDS, ≤50 vs. >50). The Kaplan-Meier method was used to estimate the distribution of survival times by QOL clinical deficient categorization. Cox Proportional Hazards Models were used to evaluate the prognostic importance of QOL on OS alone and in the presence of age, smoking category, gender, treatment, stage of disease, smoking cessation and years of consuming a pack every day. Results: Baseline QOL was significantly associated with OS univariately (HR=0.46 with p<0.0001 based on the CDS categorization). After controlling for all these other factors, the indication of a clinically deficient baseline QOL contributed significantly to the prediction of patient survival (p=0.0002; HR=0.67). Age, treatment, disease stage, smoking cessation and smoking category were also significant predictors of OS multivariately. The median survival for patients that had an overall QOL score less than the CDS (≤50) was 1.6 versus 4.6 years for patients with QOL >50. Conclusions: Baseline overall QOL measured by LCSS or LASA is a significant and independent prognostic factor for OS in lung cancer patients. A meaningful next step in this research is to investigate interventions to improve lung cancer patient QOL and thereby increase their likelihood of survival as well. No significant financial relationships to disclose.

6518 Background: Several studies have demonstrated the importance of pessimism in cardiovascular disease. However, this construct has not been well explored in oncology. Methods: This study examined the survival time of 534 adult who were diagnosed with lung cancer. These patients had completed the Minnesota Multiphasic Personality Inventory (MMPI) approximately 18.2 years prior to their lung cancer diagnosis. MMPI Optimism-Pessimism (PSM) scores were divided into high (60 or more) and low scores (less than 60), and log-rank tests and Kaplan-Meier curves were used to determine survival differences. Multivariate Cox models were used for assessing prognostic values of pessimism along with other known predictors for survival outcome. Results: At the time of diagnosis, patients were on average 67 years old, 48% were female, 85% had non-small cell lung cancer (NSCLC), 15% had small cell lung cancer (SCLC), 30% were stage I, 4% were stage II, 31% were stage III/Limited, and 35% were stage IV/Extensive. Patients who exhibited a non-pessimistic explanatory style survived approximately six months longer than patients classified as pessimists. Pessimists have significantly worse survival rates even after adjusting for other known prognostic variables. Conclusions: Among lung cancer patients, having a pessimistic explanatory style was related to surviving on average six months less compared to patients with a non-pessimistic explanatory style. [Table: see text] No significant financial relationships to disclose.

e21631 Background: The efficacy of osimertinib in previously EGFR-TKI treated NSCLC patients without T790M mutation remains unclear in real-world practice. We investigated whether osimertinib can provide survival benefit in EGFR-mutant patients without T790M mutation after 1st/2nd generation TKI treatment. Methods: Between January 1, 2009, and March 31, 2019, 417 patients had stage III-IV NSCLC harboring EGFR mutation and 154 out of 417 patients receiving osimertinib as≥2nd-line EGFR-TKI treatment were identified at Mayo Clinic. The time to treatment failure of osimertinib was analyzed by the Kaplan-Meier (KM) estimates. The risk of death post diagnosis was analyzed by Cox proportional hazard models. Results: Among 417 EGFR-mutant patients, higher risk of death was found in patients with age above 65 years, non-adenocarcinoma, no surgery treatment, no radiation treatment, non-exon 19 deletion/exon 21 L858R mutation, higher ECOG PS (2-4), PD-L1 expression of 50% or more, bone metastasis, live metastasis, and adrenal metastasis (all p < 0.05). Moreover, osimertinib as ≥2nd-line TKI treatment in patients with or without T790M revealed lower risk of death compared to 1st/2nd generation TKI treatment without subsequent osimertinib (HR = 0.33; 0.46, and p = 0.0002; 0.0232, respectively). However, among patients receiving osimertinib as ≥2nd-line TKI treatment, patients with T790M did not have superior survival than those without (p = 0.2803). Among 154 patients receiving osimertinib, a higher risk of treatment failure for osimertinib was found in male (HR = 1.72; p = 0.0327), patients with 1st-line TKI duration ≤12 months (HR = 2.16; p = 0.0019), BMI drop > 10% (HR = 1.85; p = 0.0207), PD-L1 levels of 50% or more (HR = 4.28; p = 0.0008), and 1st-line TKI with afatinib (HR = 2.19; p = 0.0136). Nonetheless, osimertinib as ≥2nd-line TKI in patients without 790M mutation did not have higher risk of treatment failure than those with T790M (p = 0.1236). Conclusions: This is the first study to demonstrate that osimertinib can provide similar survival benefit in previously EGFR-TKI treated NSCLC patients without T790M mutation as those with T790M in real-world practice. Additionally, EGFR-mutant patients with PD-L1 expression ≥50% had a higher risk of treatment failure for osimertinib and worse overall survival than those with PD-L1 expression < 50% and may potentially gain benefit from optimizing treatment strategies including immunotherapy.

PURPOSE Electronic health records (EHRs) are created primarily for nonresearch purposes; thus, the amounts of data are enormous, and the data are crude, heterogeneous, incomplete, and largely unstructured, presenting challenges to effective analyses for timely, reliable results. Particularly, research dealing with clinical notes relevant to patient care and outcome is seldom conducted, due to the complexity of data extraction and accurate annotation in the past. RECIST is a set of widely accepted research criteria to evaluate tumor response in patients undergoing antineoplastic therapy. The aim for this study was to identify textual sources for RECIST information in EHRs and to develop a corpus of pharmacotherapy and response entities for development of natural language processing tools. METHODS We focused on pharmacotherapies and patient responses, using 55,120 medical notes (n = 72 types) in Mayo Clinic’s EHRs from 622 randomly selected patients who signed authorization for research. Using the Multidocument Annotation Environment tool, we applied and evaluated predefined keywords, and time interval and note-type filters for identifying RECIST information and established a gold standard data set for patient outcome research. RESULTS Key words reduced clinical notes to 37,406, and using four note types within 12 months postdiagnosis further reduced the number of notes to 5,005 that were manually annotated, which covered 97.9% of all cases (n = 609 of 622). The resulting data set of 609 cases (n = 503 for training and n = 106 for validation purpose), contains 736 fully annotated, deidentified clinical notes, with pharmacotherapies and four response end points: complete response, partial response, stable disease, and progressive disease. This resource is readily expandable to specific drugs, regimens, and most solid tumors. CONCLUSION We have established a gold standard data set to accommodate development of biomedical informatics tools in accelerating research into antineoplastic therapeutic response.

7545 Background: Interpretation of lung cancer clinical trials is complicated by the heterogeneity of the patient population due to disease burden and comorbidities making pre-trial assessment of OS probability challenging. Methods: To create and validate a scoring system to estimate OS and improve the quality of future trials, this study evaluated the pretreatment prognostic factors of 2,442 pts with NSCLC. Univariate (UV) and multivariate (MV) Cox models were used to evaluate the prognostic importance of each baseline factor on OS. Those prognostic factors significant on both UV and MV analyses that were used to develop the scoring system included overall quality of life, age, sex, stage, ECOG performance status, the presence of other cancers, and smoking cessation. The score for each factor was determined by dividing the 5-year OS rate (in %) by 10 and summing these scores to form a total score. Multivariate models and the score for each factor were validated using bootstrapping with 1000 iterations from the original samples. Results: The score for each factor ranged from 1 to 7 points and the total scores ranged between 23 and 39 points. Higher scores reflected better OS. Categorization of the score was delineated first by clinician expert opinion (see Table) and then by multiple statistically defined empirical cut points. All categorization schemes demonstrated successful prognostic power. The bootstrap method confirmed the reliability of multivariate Cox model and score (Spearman correlation coefficient= 0.45). Conclusions: Prognostic factors significantly associated with OS on both UV and MV analysis were used to construct a valid scoring system which can be used to predict survival of NSCLC pts. This scoring system can be used by clinicians in counseling pts and for stratification in future trial design. [Table: see text]

1610 Background: Low dose computed tomography (LDCT) scans have reduced lung cancer deaths by 20.3% in high risk populations, although there is an unknown balance between the benefits and harms of LDCT scans as a screening tool. Our purpose was to compare health-related QOL issues among lung cancer patients who were initially detected by LDCT scans; 4 comparison groups included: lung cancer diagnosed by a screening chest X-ray, as an incidental finding from procedures taken for other medical reasons, or based on symptoms indicative for lung cancer and routinely diagnosed, and individuals who were LDCT screened but found no lung cancer (controls who participated in Mayo’s lung cancer CT screening trial). Methods: A total of 1,658 lung cancer patients (cared at Mayo Clinic) in the 4 groups (37, 151, 389, and 1081 respectively) and 488 controls were compared on following patient-reported outcomes (collected via validated tools): overall QOL, four symptoms (cough, pain, dyspnea, fatigue), mental/ physical/ emotional/ social/ spiritual QOL, and other concerns (e.g., family/ friends/ financial/ legal). A clinically significant deficit was defined as at least 10-points in difference (or <50 points) on a 0-100 scale. The rates of deficits were compared via Fisher’s exact tests and average QOL values via Kruskal-Wallis tests. Results: Overall QOL and individual symptoms were significantly worse (p<0.05) in all lung cancer groups than in controls, except for pain. LDCT-screened patients reported the greatest deficit among the 4 lung cancer groups in physical (41%), emotional (24%), social (38%), and spiritual QOL (24%); whereas chest X-ray detected patients had the least deficit in overall QOL (22%) and pain (32%). All 4 lung cancer groups experienced much worse fatigue (52-64%) than the controls (32%). Conclusions: Our preliminary results suggest that LDCT-screening detected lung cancer patients reported a different QOL profile from other lung cancer patients and non-lung cancer controls. The clinical course, smoking behavior, and QOL related health issues associated with LDCT screening for lung cancer warrant thorough investigation.

13013 Background: The glutathione metabolic pathway is directly involved in the inactivation of platinum compounds. Our earlier work indicated that genotypes corresponding to varied glutathione-related enzyme activities may predict survival in patients with advanced lung cancer. Herein, we evaluated the role of glutathione-related genotypes on clinical outcomes in stage IIIB/IV non-small cell lung cancer patients who were stable or responding from one prior platinum-based chemotherapy. Methods: DNA samples from patients who had tumor regression or stable disease after treatment with one platinum based chemotherapy regimen were analyzed using 6 polymorphic DNA markers that encode 5 important enzymes in the glutathione metabolic pathway. The contrasting genotypes used in the analysis were GCLC (homozygous repeat 77 vs. heterozygous 7*), GPX1 (CC vs. other), GSTP1-I105V (AA vs. other), GSTP1-A114V (CC vs. other), GSTM1 (null vs. present), and GSTT1 (null vs. present). Multivariable Cox proportional hazards models adjusted for age, gender, treatment arm, ECOG performance status, stage, and prior tumor response, were used to evaluate the prognostic significance of the genotypes at each locus. Results: Data from 112 patients with a median follow-up of 10.6 (range: 0.4–56.3) months was used. No significant difference in time to disease progression was observed for any of the genotypes. Among the 6 genomic DNA markers, the GCLC genotype was an important prognostic factor for overall survival after adjusting for other factors. In particular, patients carrying a 77 repeat genotype (homozygous) had a significantly worse survival (Hazard ratio = 1.67, 95% CI: 1.05–2.63). Conclusions: Genotypes of glutathione-related enzymes, especially GCLC, may be used as host factors in predicting patients’ prognosis after platinum-based chemotherapy. Further investigation to define and measure the effects of these genes in chemotherapeutic regimens is needed. (This work was partly supported by NIH research grants CA77118, CA80127, and CA84354.) No significant financial relationships to disclose.