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Radiation-induced morphea (RIM) is a rare but distinctive inflammatory complication of therapeutic radiation.1 It most commonly presents as painful sclerosis of the epidermis and dermis limited to the irradiated field. Morphea has also been reported as an immune-related adverse event (irAE) induced by anti-programmed death-1 (PD-1) immune checkpoint inhibitors (ICIs).2,3 We report a patient who first received local radiation therapy to the thorax for lung adenocarcinoma that was complicated by RIM. The patient’s morphea then progressed widely beyond the irradiated field in the setting of pembrolizumab therapy. Histopathology and imaging confirmed morphea extending beyond the irradiated field and with deeper muscular and fascial involvement. Pain and edema progressed through multiple lines of toxicity-directed therapy, but ultimately responded significantly to dupilumab. Response was confirmed clinically and radiographically, and the patient was able to resume ICI therapy. This case report highlights the ability of ICIs to induce progression of pre-existing RIM and supports the consideration of dupilumab in refractory cases.

Summary of clinically informative (TARGET) genes.

Supplementary Methods, Figures S1 - S20. Figure S1. Branched evolution leads to tissue-sampling bias in primary tumor samples. Figure S2. Results of ABSOLUTE on samples from patient 418. Figure S3. 2D Bayesian clustering analysis of point-mutation CCF distributions in case 418. Figure S4. Bayesian clustering of private point-mutation CCF distributions in all sequenced tissue samples from case 418. Figure S5. Genetic alterations supporting phylogeny construction in case 418. Figure S6. Phylogenetic tree for case 418 Figure S7. Evolutionary relationships between primary tumor-samples and brain metastasis samples Figure S8. Detection of homozygous deletion in CDKN2A in the brain metastasis of case 24. Figure S9. Amplification of FGFR1 and MYC detected in the brain metastasis of case 331. Figure S10. Additional alterations under investigation for association with various targeted therapies. Figure S11. Power for paired-detection of somatic mutations. Figure S12. Amplification of CCNE1 detected in the brain metastasis of case 314. Figure S13. Amplification of EGFR detected in the brain metastasis of case 314. Figure S14. Amplification of MYC detected in the brain metastasis of case 308. Figure S15. Amplification of MYC detected in the brain metastasis of case 138. Figure S16. Amplifications of CDK6 and MET detected in the brain metastasis of case 138. Figure S17. Amplifications of CCNE1 and AKT2 detected in the brain metastasis of case 138. Figure S18. Amplification of EGFR detected in a regional lymph node from case 296. Figure S19. Power for somatic mutation detection in 86 matched primary-tumor and brain-metastasis samples. Figure S20. Calling of amplifications in primary-tumor samples and paired brain metastases.

Supplementary File 1. Power for detection of somatic point mutations in coding exons of TARGET genes. The description for the plots in Supplementary File 1 can be found in the Legend of Supplementary Figure S1.

Supplementary File 3. Detailed plots of the data used for phylogenetic inference in each case. The description for the plots in Supplementary File 3 can be found in the Legend of Supplementary Figure S13-S17.

Supplementary File 2. Detailed plots of SCNA calls in TARGET genes. The description for the plots in Supplementary File 2 can be found in the Legend of Supplementary Figure S3.

Supplementary Legends

Thirteen patients were enrolled and underwent at least one cycle of therapy.

Screening with drugs targeting sunitinib related receptor tyrosine kinases (RTK) or MAPK pathway were performed in PC9TMEM87A-RASGRF1 clone 1. Relative viability compared with control (treated with DMSO) was shown. A modest inhibitory effect was seen for gilteritinib without control osimertinib, suggesting the off-target toxic effect of the drug rather than on-target inhibition.

Purpose:We pursued genomic analysis of an exceptional responder with non–small cell lung cancer (NSCLC) through a multi-platform effort to discover novel oncogenic targets.Experimental Design:In this open-label, single-arm phase II study (NCT01829217), an enriched cohort of patients with advanced NSCLC was treated with the multi-kinase inhibitor sunitinib. The primary endpoint was objective response rate. Tissue was collected for multi-platform genomic analysis of responders, and a candidate oncogene was validated using in vitro models edited by CRISPR-Cas9.Results:Of 13 patients enrolled, 1 patient (8%), a never smoker, had a partial response lasting 33 months. Genomic analysis of the responder identified no oncogenic variant using multi-platform DNA analysis including hotspot allelotyping, massively parallel hybrid-capture next-generation sequencing, and whole-exome sequencing. However, bulk RNA-sequencing (RNA-seq) revealed a novel fusion, TMEM87A–RASGRF1, with high overexpression of the fusion partners. RASGRF1 encodes a guanine exchange factor which activates RAS from GDP-RAS to GTP-RAS. Oncogenicity was demonstrated in NIH/3T3 models with intrinsic TMEM87A–RASGRF1 fusion. In addition, activation of MAPK was shown in PC9 models edited to express this fusion, although sensitivity to MAPK inhibition was seen without apparent sensitivity to sunitinib.Conclusions:Sunitinib exhibited limited activity in this enriched cohort of patients with advanced NSCLC. Nonetheless, we find that RNA-seq of exceptional responders represents a potentially underutilized opportunity to identify novel oncogenic targets including oncogenic activation of RASGRF1.

Post-baseline toxicity incidence.

Lung carcinogenesis is a complex and stepwise process involving accumulation of genetic mutations in signaling and oncogenic pathways via interactions with environmental factors and host susceptibility. Tobacco exposure is the leading cause of lung cancer, but its relationship to clinically relevant mutations and the composite tumor mutation burden (TMB) has not been fully elucidated. In this study, we investigated the dose–response relationship in a retrospective observational study of 931 patients treated for advanced-stage non–small cell lung cancer (NSCLC) between April 2013 and February 2020 at the Dana Farber Cancer Institute and Brigham and Women’s Hospital. Doubling smoking pack-years was associated with increased KRASG12C and less frequent EGFRdel19 and EGFRL858R mutations, whereas doubling smoking-free months was associated with more frequent EGFRL858R. In advanced lung adenocarcinoma, doubling smoking pack-years was associated with an increase in TMB, whereas doubling smoking-free months was associated with a decrease in TMB, after controlling for age, gender, and stage. There is a significant dose–response association of smoking history with genetic alterations in cancer-related pathways and TMB in advanced lung adenocarcinoma.Significance:This study clarifies the relationship between smoking history and clinically relevant mutations in non–small cell lung cancer, revealing the potential of smoking history as a surrogate for tumor mutation burden.

Supplementary Data

Lung carcinogenesis is a complex and stepwise process involving accumulation of genetic mutations in signaling and oncogenic pathways via interactions with environmental factors and host susceptibility. Tobacco exposure is the leading cause of lung cancer, but its relationship to clinically relevant mutations and the composite tumor mutation burden (TMB) has not been fully elucidated. In this study, we investigated the dose–response relationship in a retrospective observational study of 931 patients treated for advanced-stage non–small cell lung cancer (NSCLC) between April 2013 and February 2020 at the Dana Farber Cancer Institute and Brigham and Women’s Hospital. Doubling smoking pack-years was associated with increased KRASG12C and less frequent EGFRdel19 and EGFRL858R mutations, whereas doubling smoking-free months was associated with more frequent EGFRL858R. In advanced lung adenocarcinoma, doubling smoking pack-years was associated with an increase in TMB, whereas doubling smoking-free months was associated with a decrease in TMB, after controlling for age, gender, and stage. There is a significant dose–response association of smoking history with genetic alterations in cancer-related pathways and TMB in advanced lung adenocarcinoma. Significance: This study clarifies the relationship between smoking history and clinically relevant mutations in non–small cell lung cancer, revealing the potential of smoking history as a surrogate for tumor mutation burden.

PURPOSE Genomic analysis of plasma cell-free DNA has become a widespread tool for advanced non–small-cell lung cancer care. Whereas accuracy has been reported on widely, its usefulness is also tied tightly to its turnaround time (TAT), which is not well studied. METHODS We studied the TAT of commercial plasma next-generation sequencing (NGS; Guardant360) for 533 results from 461 patients at our center between August 2016 and October 2019. The study received institutional review board approval as a quality improvement study; therefore, the results of the test and clinical setting were not analyzed. RESULTS TAT from blood draw to result (median of 9 days) was slightly longer than the TAT from laboratory receipt to result, a median of 7 days. Testing volume at our center increased three-fold over the time of the study. During this period, clinical TAT decreased from an initial median of 12 days to a median of 8 days in 2018, but more recently the median increased slightly to 9 days. During the most recent 12 months, 231 (95%) of 247 cases resulted within 14 days from blood draw, with delayed results usually because of billing, whereas 44 cases (18%) resulted within 7 days of blood draw. Studying 92 cases drawn in the most recent 3-month period, the median time of result receipt was 4:01 pm Eastern Time/1:01 pm Pacific Time; 39 results (43%) were returned after 5:00 pm Eastern Time. CONCLUSION In a large single-institution experience, we find that plasma NGS results can routinely be expected within 2 weeks, but uncommonly result within 1 week, supporting the need for new strategies to incorporate plasma NGS into the initial genotyping of advanced non–small-cell lung cancer.

Purpose: We pursued genomic analysis of an exceptional responder with non–small cell lung cancer (NSCLC) through a multi-platform effort to discover novel oncogenic targets. Experimental Design: In this open-label, single-arm phase II study (NCT01829217), an enriched cohort of patients with advanced NSCLC was treated with the multi-kinase inhibitor sunitinib. The primary endpoint was objective response rate. Tissue was collected for multi-platform genomic analysis of responders, and a candidate oncogene was validated using in vitro models edited by CRISPR-Cas9. Results: Of 13 patients enrolled, 1 patient (8%), a never smoker, had a partial response lasting 33 months. Genomic analysis of the responder identified no oncogenic variant using multi-platform DNA analysis including hotspot allelotyping, massively parallel hybrid-capture next-generation sequencing, and whole-exome sequencing. However, bulk RNA-sequencing (RNA-seq) revealed a novel fusion, TMEM87A–RASGRF1, with high overexpression of the fusion partners. RASGRF1 encodes a guanine exchange factor which activates RAS from GDP-RAS to GTP-RAS. Oncogenicity was demonstrated in NIH/3T3 models with intrinsic TMEM87A–RASGRF1 fusion. In addition, activation of MAPK was shown in PC9 models edited to express this fusion, although sensitivity to MAPK inhibition was seen without apparent sensitivity to sunitinib. Conclusions: Sunitinib exhibited limited activity in this enriched cohort of patients with advanced NSCLC. Nonetheless, we find that RNA-seq of exceptional responders represents a potentially underutilized opportunity to identify novel oncogenic targets including oncogenic activation of RASGRF1.

PURPOSE The CNS is a recurrent site of progression in anaplastic lymphoma kinase (ALK)–rearranged (ALK+) lung cancer. Lorlatinib is a third-generation ALK inhibitor developed to penetrate the CNS and overcome ALK resistance mutations. We conducted a phase II study to evaluate the intracranial activity of lorlatinib in patients with CNS-only progression on second-generation ALK inhibitors. METHODS Patients with ALK+ lung cancer who had intracranial progression on ≥ 1 ALK inhibitor without measurable extracranial disease received lorlatinib 100 mg once daily. The primary end point was intracranial disease control rate at 12 weeks per modified RECIST v1.1. Secondary end points included intracranial progression-free survival, intracranial objective response rate, and safety/tolerability. RESULTS Twenty-three patients were enrolled between November 2016 and January 2019. Fifteen (65%) patients had irradiated CNS metastases, with a median of 20.2 months between radiation and lorlatinib. Control of intracranial disease was observed in 21 (95%) evaluable patients at 12 weeks. The intracranial objective response rate was 59% with six complete and seven partial responses. The median intracranial progression-free survival was 24.6 months (95% CI, 20.2 to not reached). With a median follow-up of 16.8 months, nine patients developed disease progression, including four patients with CNS progression. The most common treatment-related adverse events were hypercholesterolemia (96%), hypertriglyceridemia (87%), edema (65%), cognitive effects (52%), and mood effects (43%). Three patients discontinued treatment because of toxicity, including two patients with fatal respiratory events. CONCLUSION Lorlatinib induced durable intracranial disease control in patients with CNS-only relapse on second-generation ALK inhibitors, suggesting that tumors with CNS-limited progression on brain-penetrant ALK tyrosine kinase inhibitors remain ALK-dependent.

In 699 patients with locally advanced non-small-cell lung cancer (NSCLC) treated with radiation therapy as part of combined modality therapy, we compared outcomes among genotyped and ungenotyped patients and by tumor genotype status (Genotyping was performed in 250 patients:With a median follow-up of 48.2 months among genotyped patients, median overall survival (OS) was significantly longer forIn this series of locally advanced NSCLC treated with combined modality therapy

PURPOSE Plasma cell-free DNA (cfDNA) sequencing is a compelling diagnostic tool in solid tumors and has been shown to have high positive predictive value. However, limited assay sensitivity means that negative plasma genotyping, or the absence of detection of mutation of interest, still requires reflex tumor biopsy. METHODS We analyzed two independent cohorts of patients with advanced non–small-cell lung cancer (NSCLC) with known canonical driver and resistance mutations who underwent plasma cfDNA genotyping. We measured quantitative features, such as maximum allelic frequency (mAF), as clinically available measures of cfDNA tumor content, and studied their relationship with assay sensitivity. RESULTS In patients with EGFR-mutant NSCLC harboring EGFR T790M, detection of driver mutation at > 1% AF conferred a sensitivity of 97% (368/380) for detection of T790M across three cfDNA genotyping platforms. Similarly, in a second cohort of patients with EGFR or KRAS driver mutations, when the mAF of nontarget mutations was > 1%, sensitivity for driver mutation detection was 100% (43/43). Combining the two NSCLC patient cohorts, the presence of nontarget mutations at mAF > 1% predicts for high sensitivity (> 95%) for identifying the presence of the known driver mutation, whereas mAF of ≤ 1% confers sensitivity of only 26%-54% across platforms. Focusing on 21 false-negative cases where the driver mutation was not detected on plasma next-generation sequencing, other mutations (presumably clonal hematopoiesis) were detected at ≤ 1% AF in 14 (67%). CONCLUSION Plasma cfDNA genotyping is highly sensitive when adequate tumor DNA content is present. The likelihood of a false-negative cfDNA genotyping result is low in a sample with evidence of > 1% tumor content. Bioinformatic approaches are needed to further optimize the assessment of cfDNA tumor content in plasma genotyping assays.

Purpose In 699 patients with locally advanced non–small-cell lung cancer (NSCLC) treated with radiation therapy as part of combined modality therapy, we compared outcomes among genotyped and ungenotyped patients and by tumor genotype status ( EGFR, KRAS, and ALK). Patients and Methods Genotyping was performed in 250 patients: EGFR+ (19%), KRAS+ (32%), ALK+ (9%), and wild type (WT−/−/−; 40%). Outcomes were analyzed using the Kaplan-Meier method and Cox regression. Results With a median follow-up of 48.2 months among genotyped patients, median overall survival (OS) was significantly longer for EGFR+ and ALK+ compared with KRAS+ and WT−/−/− (55.8 months v not reached v 28.0 v 33.2 months; P = .02). There was no difference in progression-free survival (median, 15.3 v 13.7 v 13.0 v 14.5 months; P = .47) or in freedom from distant metastases by genotype (3-year estimates: 42% v 49% v 27% v 25%; P = .25). There was higher freedom from locoregional recurrence (LRR) for EGFR+ tumors and lower freedom from LRR in ALK+ tumors, compared with KRAS+ and WT−/−/− tumors (3-year: 77% v 38% v 49% v 46%). In multivariable analysis, ALK+ remained associated with increased OS (HR, 0.32; 95% CI, 0.12 to 0.87; P = .03), and EGFR+ was associated with decreased LRR (HR, 0.47; 95% CI, 0.24 to 0.92; P = .03). Analysis of post-recurrence survival demonstrated that EGFR+/ ALK+ patients treated with appropriate tyrosine kinase inhibitors had higher OS compared with other groups. Conclusion In this series of locally advanced NSCLC treated with combined modality therapy, EGFR+ and ALK+ were associated with higher OS, whereas LRR was lower in EGFR+ patients, and the risk of distant metastases was high in all subgroups. The outcomes and patterns of failure in genotypic subgroups of NSCLC from this study can inform the design of future trials integrating targeted therapies.

Objective The purpose of this study was to explore clinician experiences with cancer symptom and quality of life (SQL) management from diagnosis throughout therapy in the ambulatory setting, plus identify preferences for a future SQL decision support system. Methods Eligible clinicians worked in ambulatory cancer care with responsibility for direct patient care. Focus groups were conducted to discuss symptom management throughout the treatment experience and features desired in a future decision support system. Each group was audio-recorded, transcribed, de-identified, and entered into NVivo 9 for analysis. Open and axial coding was completed, grouping common concepts into nodes; large constructs among the nodes were identified and main messages were synthesized. Results A total of 118 clinicians were contacted by email resulting in a final sample of 51 attending 1 of 9 focus groups. Clinicians described a standard face-to-face approach to assessment of SQL, before and throughout therapy. Preparing patients for expected symptoms and approaches to management included paper-based patient education materials and referrals. Communicating with patients between visits was covered in detail, notably use of telephone and email. Future system features desired by the clinicians included an electronic, Web-based system with real-time, trended data, reasonable alerts, and tailored information for patients. Conclusions Cancer care specialists reported strategies to assess and manage cancer SQL in ambulatory care including patient-reported outcome measures, contact communication modes, face-to-face interviews, and paper-based patient education materials. Future system features desired by clinicians included an electronic, Web-based system with real-time, trended data, reasonable alerts, and tailored information for patients.

PURPOSE: We pursued genomic analysis of an exceptional responder with non-small cell lung cancer (NSCLC) through a multi-platform effort to discover novel oncogenic targets. METHODS: In this open-label, single-arm phase II study (NCT01829217), an enriched cohort of patients with advanced NSCLC were treated with the multi-kinase inhibitor sunitinib. The primary endpoint was objective response rate. Tissue was collected for multi-platform genomic analysis of responders, and a candidate oncogene was validated using in vitro models edited by CRISPR-Cas9. RESULTS: Of 13 patients enrolled, one patient (8%), a never-smoker, had a partial response lasting 33 months. Genomic analysis of the responder identified no oncogenic variant using multi-platform DNA analysis including hotspot allelotyping, massively parallel hybrid-capture next-generation sequencing, and whole exome sequencing. However, bulk RNA sequencing revealed a novel fusion, TMEM87A-RASGRF1, with high overexpression of the fusion partners. RASGRF1 encodes a guanine exchange factor which activates RAS from GDP-RAS to GTP-RAS. Oncogenicity was demonstrated in NIH/3T3 models with intrinsic TMEM87A-RASGRF1 fusion. Additionally, activation of MAPK was shown in PC9 models edited to express this fusion, though sensitivity to MAPK inhibition was seen without apparent sensitivity to sunitinib. CONCLUSIONS: Sunitinib exhibited limited activity in this enriched cohort of patients with advanced NSCLC. Nonetheless, we find that RNA sequencing of exceptional responders represents a potentially under-utilized opportunity to identify novel oncogenic targets including oncogenic activation of RASGRF1.

Highlights • The presence of baseline ILA in patients with advanced NSCLC is significantly associated with shorter overall survival. • It could be regarded as a reproducible prognostic marker in patients with NSCLC. It is important for radiologists to mention ILA on baseline CT of NSCLC patients. • Awareness of the presence of ILA may help optimize clinical management and outcome., Purpose The presence of interstitial lung abnormality (ILA) at diagnosis of stage IV non-small cell lung cancer (NSCLC) patients has previously shown to be associated with shorter overall survival (OS). The present study aimed to validate the association between ILA and shorter OS in a larger cohort of treatment-naïve stage IV NSCLC patients. Materials and methods This study includes 484 patients (205 men and 279 women) with a pathological diagnosis of stage IV NSCLC with pretreatment baseline CT available for review. ILA was visually scored on the baseline chest CT with a 3-point scale (0=no ILA, 1=indeterminate for ILA, 2 = ILA) as published previously. Clinical characteristics and overall survival (OS) were compared in patients with ILA score 2 vs. those with ILA score 0 or 1. Results ILA was present (score 2) on baseline CT in 19 of 484 patients (3.9%, 95%CI2.4–6.1%). Patients with ILA were significantly older (p = 0.0008) and more commonly male (p = 0.03) compared to those with ILA score 0 or 1. Patients with ILA score 2 showed significantly shorter OS compared to those with ILA score 0 or 1 (median OS 9.95 months vs. 16.95 months; p = 0.0002). In multivariate analyses, baseline ILA score 2 remained significant as a marker for shorter OS (HR = 2.09, p = 0.004) after adjustments for age (HR = 1.48; p = 0.001), gender (HR = 1.22, p = 0.06), and smoking (HR = 0.79; p = 0.051). Conclusions ILA on baseline CT at diagnosis of stage IV NSCLC patients was associated with shorter OS (HR = 2.09, p = 0.004), validating ILA as an independent marker for poor clinical outcome.

9595 Background: Lorlatinib is a 3rd-generation ALK tyrosine kinase inhibitor (TKI) developed to penetrate the central nervous system (CNS) and overcome resistance to 2nd-generation (2nd-gen) ALK TKIs. In a phase II study, lorlatinib demonstrated significant intracranial (IC) activity after failure of 2nd-gen TKIs. As treatment discontinuation for extracranial (EC) progression can confound assessment of durability of IC response, we performed a phase II study (NCT02927340) to selectively evaluate lorlatinib activity in ALK+ pts with CNS-only disease. Methods: Between 11/2016 and 1/2019, 22 pts with IC progression on an ALK TKI with no other sites of measurable disease were enrolled at 2 institutions. Pts received lorlatinib at a starting dose of 100 mg QD. The primary endpoint was the IC disease control rate (DCR) at 12 weeks per modified RECIST v1.1. Secondary endpoints were IC objective response rate (ORR), duration of response (DOR), and progression-free survival (PFS). Results: Of the 22 pts enrolled, 21 (95%) had progressed on a 2nd-gen ALK TKI and 14 (64%) had previously received CNS radiation (median 21.1 months between radiation and lorlatinib). Median number of prior ALK TKIs was 2 (range 1-4). As of the data cutoff of 12/15/19, median follow-up was 14 months. At 12 weeks, the IC-DCR was 95%, including 8 pts with stable disease. Best IC ORR was 59% with 6 complete and 7 partial responses. Nine (41%) pts relapsed on study, including 3 IC-only, 5 EC-only, and 1 combined relapse. Four pts continued treatment beyond EC-only progression. Although median IC DOR and PFS were not estimable due to few progression events, the IC progression-free rate at 12 months was 81% (95% CI: 53%-94%). Twelve pts have discontinued study treatment due to progression (n = 6), edema (n = 1), pulmonary hypertension (n = 1), or transition to commercial lorlatinib (n = 4). Conclusions: Lorlatinib induces durable intracranial responses in pts with CNS-only progression on 2nd-gen ALK TKIs, suggesting that CNS-specific relapses are primarily driven by ALK-dependent mechanisms. Further studies are needed to characterize the molecular basis of sensitivity to lorlatinib in this unique subgroup of pts with ALK+ lung cancer. Clinical trial information: NCT02927340 .

The 8th edition of TNM staging of lung cancer revised M staging and defined M1b disease with single extrathoracic metastasis, to be distinguished from M1c with multiple extrathoracic metastases in one or more organs. This new distinct category of M1b disease consists of patients with a single extrathoracic metastasis, thus consisting of a strictly defined oligometastatic disease. This article reports the prevalence of M1b disease among patients with stage IV non‐small cell lung cancer, focusing on the clinical characteristics and patterns of single extrathoracic metastasis and relationships with overall survival., Background. The 8th edition of TNM staging of non‐small cell lung cancer (NSCLC) has revised M classification and defined M1b disease with single extrathoracic metastasis, which is distinguished from M1c with multiple extrathoracic metastases. We investigated the prevalence, characteristics, and overall survival (OS) of M1b disease in patients with stage IV NSCLC. Methods. The study reviewed the medical records and imaging studies of 567 patients with stage IV NSCLC to determine M stage using the 8th edition of TNM staging. Clinical characteristics and OS were compared according to M stages. Results. Among 567 patients, 57 patients (10%) had M1b disease, whereas 119 patients (21%) had M1a disease and 391 patients (69%) had M1c disease. Squamous histology was more common in M1b (16%) than in M1a (6%) and M1c (6%; p = .03). The median OS of patients with M1b disease was 14.8 months, compared with 22.6 months for patients with M1a and 13.4 months for those with M1c disease (p

Harvard Medical School, Boston, Massachusetts Department of Neurosurgery, Dana-Farber/Brigham & Women’s Cancer Center, Boston, Massachusetts Department of Pathology, Dana-Farber/Brigham & Women’s Cancer Center, Boston, Massachusetts York Hospital Oncology, York, Maine Department of Medical Oncology, Dana-Farber/Brigham & Women’s Cancer Center, Boston, Massachusetts Department of Radiation Oncology, Dana-Farber/Brigham & Women’s Cancer Center, Boston, Massachusetts

Interstitial lung diseases are associated with increased risk of lung cancer. The prevalence of ILA at diagnosis of advanced non-small-cell lung cancer (NSCLC) and its impact on overall survival (OS) remain to be investigated.The study included 120 treatment-naïve stage IV NSCLC patients (53 males, 67 females). ILA was scored on CT prior to any systemic therapy using a 4-point scale [0=no evidence of ILA, 1=equivocal for ILA, 2=suspicious for ILA, 3=ILA] by a sequential reading method previously reported. ILA scores of 2 or 3 indicated the presence of ILA.ILA was present in 17 patients (14%) with advanced NSCLC prior to any treatment (score3: n=2, score2: n=15). These 17 patients were significantly older (median age: 69 vs. 63, p=0.04) and had a heavier smoking history (median: 40 vs. 15.5 pack-year, p=0.003) than those with ILA score 0 or 1. Higher ILA scores were associated with shorter OS (p=0.001). Median OS of the 17 patients with ILA was 7.2 months [95%CI: 2.9-9.4] compared to 14.8 months [95%CI: 11.1-18.4] in patients with ILA score 0 or 1 (p=0.002). In a multivariate model, the presence of ILA remained significant for increased risk for death (HR=2.09, p=0.028) after adjusting for first-line systemic therapy (chemotherapy, p0.001; TKI, p0.001; each compared to no therapy) and pack years of smoking (p=0.40).Radiographic ILA was present in 14% of treatment-naïve advanced NSCLC patients. Higher ILA scores were associated with shorter OS, indicating that ILA could be a marker of shorter survival in advanced NSCLC.

Context Distressing symptoms interfere with the quality of life in patients with lung cancer. Algorithm-based clinical decision support (CDS) to improve evidence-based management of isolated symptoms seems promising, but no reports yet address multiple symptoms. Objectives This study examined the feasibility of CDS for a Symptom Assessment and Management Intervention targeting common symptoms in patients with lung cancer (SAMI-L) in ambulatory oncology. The study objectives were to evaluate completion and delivery rates of the SAMI-L report and clinician adherence to the algorithm-based recommendations. Methods Patients completed a web-based symptom assessment and SAMI-L created tailored recommendations for symptom management. Completion of assessments and delivery of reports were recorded. Medical record review assessed clinician adherence to recommendations. Feasibility was defined as 75% or higher report completion and delivery rates and 80% or higher clinician adherence to recommendations. Descriptive statistics and generalized estimating equations were used for data analyses. Results Symptom assessment completion was 84% (95% CI=81–87%). Delivery of completed reports was 90% (95% CI=86–93%). Depression (36%), pain (30%), and fatigue (18%) occurred most frequently, followed by anxiety (11%) and dyspnea (6%). On average, overall recommendation adherence was 57% (95% CI=52–62%) and was not dependent on the number of recommendations ( P =0.45). Adherence was higher for anxiety (66%; 95% CI=55–77%), depression (64%; 95% CI=56–71%), pain (62%; 95% CI=52–72%), and dyspnea (51%; 95% CI=38–64%) than for fatigue (38%; 95% CI=28–47%). Conclusion The CDS systems, such as SAMI-L, have the potential to fill a gap in promoting evidence-based care.

Background It is essential that cancer patients understand anticipated symptoms, how to self-manage these symptoms, and when to call their clinicians. However, patients are often ill-prepared to manage symptoms at home. Clinical decision support (CDS) is a potentially innovative way to provide information to patients where and when they need it. The purpose of this project was to design and evaluate a simulated model of an algorithm-based CDS program for self-management of cancer symptoms. Methods This study consisted of three phases; development of computable algorithms for self-management of cancer symptoms using a modified ADAPTE process, evaluation of a simulated model of the CDS program, and identification of design objectives and lessons learned from the evaluation of patient-centered CDS. In phase 1, algorithms for pain, constipation and nausea/vomiting were developed by an expert panel. In phase 2, we conducted usability testing of a simulated symptom assessment and management intervention for self-care (SAMI-Self-Care) CDS program involving focus groups, interviews and surveys with cancer patients, their caregivers and clinicians. The Acceptability E-scale measured acceptability of the program. In phase 3, we developed design objectives and identified barriers to uptake of patient-centered CDS based on the data gathered from stakeholders. Results In phase 1, algorithms were reviewed and approved through a consensus meeting and majority vote. In phase 2, 24 patients & caregivers and 13 clinicians participated in the formative evaluation. Iterative changes were made in a simulated SAMI-Self-Care CDS program. Acceptability scores were high among patients, caregivers and clinicians. In phase 3, we formulated CDS design objectives, which included: 1) ensure patient safety, 2) communicate clinical concepts effectively, 3) promote communication with clinicians, 4) support patient activation, and 5) facilitate navigation and use. We identified patient barriers and clinician concerns to using CDS for symptom self-management, which were consistent with the chronic care model, a theoretical framework used to enhance patient-clinician communication and patient self-management. Conclusion Patient safety and tool navigation were critical features of CDS for patient self-management. Insights gleaned from this study may be used to inform the development of CDS resources for symptom self-management in patients with other chronic conditions.

BACKGROUND The objective of this study was to define the volumetric tumor growth rate in patients who had advanced nonsmall cell lung cancer (NSCLC) with sensitizing epidermal growth factor receptor (EGFR) mutations and had initially received treatment with EGFR-tyrosine kinase inhibitor (TKI) therapy beyond progression. METHODS The study included 58 patients with advanced NSCLC who had sensitizing EGFR mutations treated with first-line gefitinib or erlotinib, had baseline computed tomography (CT) scans available that revealed a measurable lung lesion, had at least 2 follow-up CT scans during TKI therapy, and had experienced volumetric tumor growth. The tumor volume (in mm3) of the dominant lung lesion was measured on baseline and follow-up CT scans during therapy. In total, 405 volume measurements were analyzed in a linear mixed-effects model, fitting time as a random effect, to define the growth rate of the logarithm of tumor volume (logeV). RESULTS A linear mixed-effects model was fitted to predict the growth of logeV, adjusting for time in months from baseline. LogeV was estimated as a function of time in months among patients whose tumors started growing after the nadir: logeV = 0.12*time + 7.68. In this formula, the regression coefficient for time, 0.12/month, represents the growth rate of logeV (standard error, 0.015/month; P

Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 has been rapidly accepted in clinical trials as a standard measure to assess tumor response to therapy and is expected to improve response assessment, especially in genomically defined patients. The impact of RECIST 1.1 was compared with RECIST 1.0 in non-small cell lung cancer (NSCLC) patients with sensitizing epidermal growth factor receptor (EGFR) mutations treated with EGFR tyrosine kinase inhibitors.Seventy patients with advanced NSCLC harboring sensitizing EGFR mutations treated with a first-line EGFR tyrosine kinase inhibitor were retrospectively studied. Tumor measurements and response assessment were performed using RECIST 1.0 and RECIST 1.1. The number of target lesions, the percentage change at the initial follow-up, best response, and time to progression were compared between RECIST 1.1 and RECIST 1.0.The number of target lesions identified using RECIST 1.1 was significantly lower compared with that using RECIST 1.0 (mean, 2.7 and 2.0, respectively; p0.0001; paired Student t test), with a decrease in 31 patients (44%). The initial proportional changes of the target lesion measurements had high correlation between the two criteria (R(2) = 0.8070), with concordant response assessment in 66 patients (94%). The best response showed almost perfect agreement (κw = 0.970). Time to progression (TTP) did not differ between the two criteria in 52 patients (74%), was longer by RECIST 1.1 in 15 patients (21%), and was shorter by RECIST 1.1 in three patients (4%).RECIST 1.1 provided highly concordant response assessment with a decreased number of target lesions compared with RECIST 1.0 in advanced NSCLC patients harboring sensitizing EGFR mutations treated with an EGFR tyrosine kinase inhibitor. RECIST 1.1 altered TTP in 25% of patients compared with RECIST 1.0.

Purpose: Increasing costs and medical complexity are significant challenges in modern oncology. We explored the use of clinical pathways to support clinical decision making and manage resources prospectively across our network. Materials and Methods: We created customized lung cancer pathways and partnered with a commercial vendor to provide a Web-based platform for real-time decision support and post-treatment data aggregation. Dana-Farber Cancer Institute (DFCI) Pathways for non–small cell lung cancer (NSCLC) were introduced in January 2014. We identified all DFCI patients who were diagnosed and treated for stage IV NSCLC in 2012 (before pathways) and 2014 (after pathways). Costs of care were determined for 1 year from the time of diagnosis. Results: Pre- and postpathway cohorts included 160 and 210 patients with stage IV NSCLC, respectively. The prepathway group had more women but was otherwise similarly matched for demographic and tumor characteristics. The total 12-month cost of care (adjusted for age, sex, race, distance to DFCI, clinical trial enrollment, and EGFR and ALK status) demonstrated a $15,013 savings after the implementation of pathways ($67,050 before pathways v $52,037 after pathways). Antineoplastics were the largest source of cost savings. Clinical outcomes were not compromised, with similar median overall survival times (10.7 months before v 11.2 months after pathways; P = .08). Conclusion: After introduction of a clinical pathway in metastatic NSCLC, cost of care decreased significantly, with no compromise in survival. In an era where comparative outcomes analysis and value assessment are increasingly important, the implementation of clinical pathways may provide a means to coalesce and disseminate institutional expertise and track and learn from care decisions.

7553 Background: EGFR mutated advanced NSCLC treated with EGFR TKIs typically progresses after initial response due to acquired resistance. TKI therapy is often continued beyond RECIST progression (PD). We investigated the frequency of this practice and patterns of RECIST PD via imaging findings, as well as the association between patient characteristics and discontinuation of TKI among patients (pts) who progressed while on TKI. Methods: Among a cohort of 101 advanced NSCLC pts with sensitizing EGFR mutations treated with first-line erlotinib or gefitinib at DFCI, 70 pts treated between 2002 and 2010 had at least two CT scans for retrospective radiographic assessments using RECIST1.1; 56 pts had experienced PD by the data closure date of June 2011. Results: Among 56 pts experiencing PD, 46 (82%) were female, median age was 63 (range 35-79), 28 (50%) were never-smokers, 32 (57%) had distant mets, 32(57%) had exon 19 deletion, and 50 (89%) received erlotinib. 49 pts (88%) continued TKI therapy for at least 2 mos beyond retrospectively assessed PD. 31/32 (97%) pts who progressed by increase of target lesions continued TKI. 13/16 (81%) pts who progressed by new lesion remained on TKI. Two pts with PD in non-target lesions discontinued therapy at PD. 5/6 (83%) pts with both increase of target lesions and new lesion at PD continued TKI. In 49 continuing pts, the median time from RECIST PD to termination of TKI was 10.1 mos (range: 2.2-64.2 mos). 15/49 (31%) pts who continued TKI received additional chemo compared to 0/7 pts who discontinued (Fisher’s p=0.17). Pts who discontinued therapy (n=7) were significantly younger (median 48 yrs) than those who continued TKI at PD (median 64 yrs, Wilcoxon p=0.003). Median OS beyond RECIST PD among those who continued TKI was 31.8 mos (95% CI 15.9- not reached) and though underpowered, this did not appear to be impacted by TTP when adjusted in a Cox model (p=0.84). Conclusions: 88% of EFGR-mutant NSCLC pts who progressed on first-line TKI continued therapy beyond RECIST PD, which is not the single determining factor for terminating TKI in EGFR-mutant NSCLC pts. Additional progression criteria specific to this population are needed to better guide therapeutic decision making.

Objectives Adequate symptom and quality-of-life (SQL) management is a priority during cancer treatment. eHealth is a timely way to enhance patient-engagement, facilitate communication and improve health outcomes. The objectives of this study were to describe patient and caregivers’ perspectives for providing, processing and managing SQL data to enhance communication and identify desired components for decision support. Methods Data were collected from 64 participants through questionnaires and focus groups. Analysis was conducted using NVivo. Open and axial coding was completed, grouping commonalities and large constructs into nodes to identify and synthesize themes. Results Face-to-face meetings with clinicians were the prime time to communicate and patients strove to understand treatment options and the effect on SQL by bringing caregivers to their visits, taking notes, tracking symptoms and creating portable health records. Patients/caregivers struggled to self-manage their symptoms and were uncertain when to contact clinicians when experiencing uncontrolled symptoms. Most participants identified eHealth solutions for decision support. However, thirty-eight percent of participants (n = 24) rarely used computers and identified non-eHealth options for decision support. Core components for both eHealth and non-eHealth systems were access to 1) cancer information, 2) medical records, 3) peer support and 4) improved support and understanding on when to contact clinicians. Conclusions Patients were faced with an overwhelming amount of information and relied on their caregivers to help navigate the complexities of cancer care and self-manage SQL. Health technologies can provide informational support, however, decision support needs to span multiple venues to avoid increasing disparities caused by a digital divide.

Purpose: This retrospective study was undertaken to investigate the impact of initial gefitinib or erlotinib (EGFR tyrosine kinase inhibitor, EGFR-TKI) versus chemotherapy on the risk of central nervous system (CNS) progression in advanced non–small cell lung cancer (NSCLC) with EGFR mutations. Experimental Design: Patients with stage IV or relapsed NSCLC with a sensitizing EGFR mutation initially treated with gefitinib, erlotinib, or chemotherapy were identified. The cumulative risk of CNS progression was calculated using death as a competing risk. Results: One hundred and fifty-five patients were eligible (EGFR-TKI: 101, chemotherapy: 54). Twenty-four patients (24%) in the EGFR-TKI group and 12 patients (22%) in the chemotherapy group had brain metastases at the time of diagnosis of advanced NSCLC (P = 1.000); 32 of the 36 received CNS therapy before initiating systemic treatment. Thirty-three patients (33%) in the EGFR-TKI group and 26 patients (48%) in the chemotherapy group developed CNS progression after a median follow-up of 25 months. The 6-, 12-, and 24-month cumulative risk of CNS progression was 1%, 6%, and 21% in the EGFR-TKI group compared with corresponding rates of 7%, 19%, and 32% in the chemotherapy group (P = 0.026). The HR of CNS progression for upfront EGFR-TKI versus chemotherapy was 0.56 [95% confidence interval (CI), 0.34–0.94]. Conclusions: Our data show lower rates of CNS progression in EGFR-mutant advanced NSCLC patients initially treated with an EGFR-TKI compared with upfront chemotherapy. If validated, our results suggest that gefitinib and erlotinib may have a role in the chemoprevention of CNS metastases from NSCLC. Clin Cancer Res; 18(16); 4406–14. ©2012 AACR.

Rationale and objectives: To investigate the frequency and radiographic patterns of tumoral cavitation in patients with non-small cell lung cancer (NSCLC) treated with bevacizumab, and correlate the imaging findings with the pathology, clinical characteristics and outcome. Materials and methods: Seventy-two patients with NSCLC treated with bevacizumab therapy were identified retrospectively. Baseline and follow-up chest computed tomography scan were reviewed to identify tumoral cavitation and subsequent filling in of cavitation. Radiographic cavitation patterns were classified into 3 groups. The clinical and outcome data were correlated with cavity formation and patterns. Results: Out of 72 patients, 14 patients developed cavitation after the initiation of bevacizumab therapy (19%; median time to event, 1.5 months; range 1.0–24.8 months). Three radiographic patterns of tumoral cavitation were noted: (1) development of cavity within the dominant lung tumor (n = 8); (2) development of non-dominant cavitary nodules (n = 3); and (3) development of non-dominant cavitary nodules with adjacent interstitial abnormalities (n = 3). Eleven patients (79%) demonstrated subsequent filling in of cavitation (the time from the cavity formation to filling in; median 3.7 months; range 1.9–22.7 months). No significant difference was observed in the clinical characteristics, including smoking history, or in the survival between patients who developed cavitation and those who did not. Smoking history demonstrated a significant difference across 3 radiographic cavitation patterns (P = 0.006). Hemoptysis was noted in 1 patient with cavity formation and 4 patients without, with no significant difference between the 2 groups. Conclusion: Tumoral cavitation occurred in 19% in patients with NSCLC treated with bevacizumab and demonstrated 3 radiographic patterns. Subsequent filling in of cavitation was noted in the majority of cases.

Purpose: Gefitinib and erlotinib can penetrate into the central nervous system (CNS) and elicit responses in patients with brain metastases (BM) from non–small cell lung cancer (NSCLC). However, there are incomplete data about their impact on the development and control of CNS metastases. Experimental Design: Patients with stage IIIB/IV NSCLC with somatic EGFR mutations initially treated with gefitinib or erlotinib were identified. The cumulative risk of CNS progression was calculated using death as a competing risk. Results: Of the 100 patients, 19 had BM at the time of diagnosis of advanced NSCLC; 17 of them received CNS therapy before initiating gefitinib or erlotinib. Eighty-four patients progressed after a median potential follow-up of 42.2 months. The median time to progression was 13.1 months. Twenty-eight patients developed CNS progression, 8 of whom had previously treated BM. The 1- and 2-year actuarial risk of CNS progression was 7% and 19%, respectively. Patient age and EGFR mutation genotype were significant predictors of the development of CNS progression. The median overall survival for the entire cohort was 33.1 months. Conclusions: Our data suggest a lower risk of CNS progression in patients with advanced NSCLC and somatic EGFR mutations initially treated with gefitinib or erlotinib than published rates of 40% in historical series of advanced NSCLC patients. Further research is needed to distinguish between the underlying rates of developing CNS metastases between NSCLC with and without EGFR mutations and the impact of gefitinib and erlotinib versus chemotherapy on CNS failure patterns in these patients. Clin Cancer Res; 16(23); 5873–82. ©2010 AACR.

IMPORTANCE: Osimertinib mesylate is used globally to treat EGFR-mutant non–small cell lung cancer (NSCLC) with tyrosine kinase inhibitor resistance mediated by the EGFR T790M mutation. Acquired resistance to osimertinib is a growing clinical challenge that is poorly understood. OBJECTIVE: To understand the molecular mechanisms of acquired resistance to osimertinib and their clinical behavior. DESIGN, SETTING, AND PARTICIPANTS: Patients with advanced NSCLC who received osimertinib for T790M-positive acquired resistance to prior EGFR tyrosine kinase inhibitor were identified from a multi-institutional cohort (n = 143) and a confirmatory trial cohort (NCT01802632) (n = 110). Next-generation sequencing of tumor biopsies after osimertinib resistance was performed. Genotyping of plasma cell-free DNA was studied as an orthogonal approach, including serial plasma samples when available. The study and analysis were finalized on November 9, 2017. MAIN OUTCOMES AND MEASURES: Mechanisms of resistance and their association with time to treatment discontinuation on osimertinib. RESULTS: Of the 143 patients evaluated, 41 (28 [68%] women) had tumor next-generation sequencing after acquired resistance to osimertinib. Among 13 patients (32%) with maintained T790M at the time of resistance, EGFR C797S was seen in 9 patients (22%). Among 28 individuals (68%) with loss of T790M, a range of competing resistance mechanisms was detected, including novel mechanisms such as acquired KRAS mutations and targetable gene fusions. Time to treatment discontinuation was shorter in patients with T790M loss (6.1 vs 15.2 months), suggesting emergence of pre-existing resistant clones; this finding was confirmed in a validation cohort of 110 patients with plasma cell-free DNA genotyping performed after osimertinib resistance. In studies of serial plasma levels of mutant EGFR, loss of T790M at resistance was associated with a smaller decrease in levels of the EGFR driver mutation after 1 to 3 weeks of therapy (100% vs 83% decrease; P = .01). CONCLUSIONS AND RELEVANCE: Acquired resistance to osimertinib mediated by loss of the T790M mutation is associated with early resistance and a range of competing resistance mechanisms. These data provide clinical evidence of the heterogeneity of resistance in advanced NSCLC and a need for clinical trial strategies that can overcome multiple concomitant resistance mechanisms or strategies for preventing such resistance.

123 Background: Many factors contribute to long wait times for oncology patients on the day of their infusion appointment. At Dana-Farber Cancer Institute (DFCI), one of the main causes of delay to infusion start is providers not signing medication orders in advance of patients checking in for their infusion appointment. We conducted a project to improve provider order signing behavior on the gynecology cancer patient infusion floor at DFCI. Methods: A data working group was formed which consisted of the infusion floor medical leads, nurse lead, pharmacy lead, and analytics and process improvement leads. Starting in February 2018, the working group shared baseline order signing data from September 2017 through January 2018 with the Gynecology Cancer Group. Descriptive and timestamp data from Epic were extracted and cleaned via Tableau to analyze the percentage of non-investigational medication orders, including chemotherapy, that were signed after a patient checked into infusion and the distributions of late order signing times. Results: Gynecology cancer patient providers had higher late order signing percentages at baseline (September 2017 through January 2018) than after sharing those data, which occurred from February through May 2018. The table below provides medication order counts and late order signing percentages by month. Although late signing percentages decreased after sharing the baseline data, the distribution of how late the late orders were signed did not show improvement, staying at an average of 20 minutes late. Conclusions: Sharing late order signing data with providers on a routine basis reduced late signing percentages. Initiating this process with all disease groups is crucial so that downstream workflows can start sooner and patient wait times reduced.[Table: see text]

129 Background: Many factors contribute to long wait times for cancer patients on the day of their infusion. At Dana-Farber Cancer Institute (DFCI), a contributing factor is patient flow between exam and infusion. Order verification affects patient flow and begins when the following two criteria are met: provider signed an order and the patient’s scheduled infusion appointment arrives. Patients often check-in to infusion before their scheduled infusion appointment. Order verification has three sequential steps: nurse verification, pharmacist 1 verify (V1), and pharmacist 2 verify (V2). Methods: A team of pharmacists, nurses, providers, and process improvement leads designed a pilot in which V1 moved before nurse verification, concurrent with patient check-in to infusion. Further, V1 began as soon as an order was signed; the pharmacist did not wait for a patient’s scheduled infusion appointment. Nurse verification and V2 occurred in sequence after V1. Timestamp data were extracted from Epic and analyzed via Tableau to assess reduction in verification throughput, defined as time between infusion check-in and V2. Fourteen providers and one pharmacist joined a 6-week pilot to adopt the redesigned workflow beginning 4/23/18. Results: At baseline, time between check-in and V2 was consistent for pilot and non-pilot orders. During the pilot, time between check-in and V2 was shorter for pilot orders, showing a sustained decrease of approximately 10 minutes. The table below provides time in minutes between infusion check-in and V2 for pilot and non-pilot orders at baseline (3/12/18-4/20/18) and following workflow redesign (4/23/18-6/1/18). Conclusions: Implementing the pilot workflow reduced order verification throughput time and enabled drug preparation to begin sooner. Expanding this workflow to all medication orders can decrease infusion wait time at DFCI.[Table: see text]

The WTX, Wilms tumor-associated tumor-suppressor gene, is present on the X chromosome and a single WTX mutation may be sufficient to promote carcinogenesis. Unlike the WT1 tumor suppressor, a transcription factor, WTX lacks conserved functional protein domains. To study the function of WTX, we constructed inducible cell lines expressing WTX and tumor-associated WTX mutants. Induction of WTX inhibited cell growth and caused G(1)/G(0) arrest. In contrast, a short, tumor-associated truncation mutant of WTX358 only slightly inhibited cell growth without a significant cell-cycle arrest, although expression of a longer truncation mutant WTX565 led to the growth inhibition and cell-cycle arrest to a similar extent as wild-type WTX. Like WT1, WTX slowed growth and caused cell-cycle arrest through p21 induction. Gene expression profiling showed that these two tumor-suppressors regulated genes in similar pathways, including those implicated in control of the cellular growth, cell cycle, cell death, cancer and cardiovascular system development. When gene expression changes mediated by wild-type WTX were compared with those affected by mutant forms, WTX565 showed a 55% overlap (228 genes) in differentially regulated genes, whereas WTX358 regulated only two genes affected by wild-type WTX, implying that amino-acid residues 358-561 are critical for WTX function.