Real-world data validation for differential expression of immunoregulatory molecules and targetable cancer genes may provide therapeutic insights into agnostic-driven trial designs.

2020 ◽  
Vol 38 (5_suppl) ◽  
pp. 10-10 ◽  
Author(s):  
Jacob J. Adashek ◽  
Christopher W. Szeto ◽  
Sandeep K. Reddy ◽  
Philippe E. Spiess

10 Background: Targeting actionable genes and using immunotherapy have increased treatment options. We previously reported that some immunoregulatory molecules are found differentially regulated in the presence of certain gene mutations regardless of cancer subtype. Here we validated a subset of these associations in an independent, real-world dataset with distinct clinicopathological characteristics. Methods: Previously, 2740 TCGA patients were identified to have at least one potentially oncogenic mutation (mt) within an established 50-gene hotspot panel. Differential expression of 10 immunoregulatory molecules (IRM) was analyzed between mutant (mt) vs. wild-type (wt). To ensure observed significant associations were not confounded by tumor-type, differential IRM expression within mt-enriched tumor-types was compared to that of mt vs. wt. Now, using the NantHealth external database of 2739 unselected clinical cases these associations were validated. Results: Within the TCGA cohort 19/50 gene mutations were found to be significantly associated with ≥1 IRM expression. In many, the mt effect-size was larger than that of tumor-type; e.g. head & neck carcinomas (HNSCC) are highly enriched for CDKN2A mt (OR = 4.9, p = 4.3e-9), yet CDKN2A mt are more associated with CTLA4 expression than HNSCC histology (t = 7.0 vs. 5.4). Of these 15 associations, 6 were validated within the independent later-stage NantHealth cohort. Most notably, CDKN2A mt was validated as associated with increased PD1 and CTLA4 expression while KRAS and APC mt were validated as associated with decreased PDL1/2 expression. Conclusions: The presented differential checkpoint expression patterns are strongly associated with mutation status and are not primarily driven by tissue-type, which have been further validated by an external database. Strategies combining genomic targets have been shown to yield success as well as using immunotherapies. Our data suggests there may be a role for combining NGS targets along with IRM expression patterns to better guide future design of clinical trials in combatting various cancers in a tissue-agnostic fashion.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 778-779
Author(s):  
J. S. Smolen ◽  
S. Siebert ◽  
T. Korotaeva ◽  
P. Bergmans ◽  
K. De Vlam ◽  
...  

Background:Among treatment options for PsA, IL-12/23 inhibition with UST was the first new biologic mode of action after TNFi. Few real-world data comparing UST with TNFi are available.Objectives:Comparison of UST and TNFi treatment effectiveness within the prospectively followed PsABio cohort at 12-month (mo) follow-up.Methods:The PsABio study (NCT02627768) evaluates effectiveness, tolerability and persistence of 1st, 2nd or 3rd-line UST or TNFi in PsA. Proportions of patients (pts) reaching MDA/very low disease activity (VLDA) and clinical Disease Activity index for PSoriatic Arthritis (cDAPSA) LDA/remission are described. Comparison across UST and TNFi cohorts was done on last observation carried forward up to 12 (±3) mo, with non-response imputation for pts who had stopped/switched initial treatment. Logistic regression analysis was used, including propensity score (PS) analysis to adjust for imbalanced prognostic baseline (BL) covariates: country, age, sex, BMI, smoking (yes/no), comorbidities (cardiovascular/metabolic syndrome), PsA type (axial, polyarticular, oligoarticular), psoriasis body surface area (BSA), disease duration, cDAPSA, 12-item PsA Impact of Disease (PsAID-12), dactylitis, enthesitis, Fibromyalgia Rapid Screening Tool (FiRST) score, line of biologic (b)DMARD, synthetic DMARD use, and steroid or NSAID use.Results:Of 929 eligible pts, 893 had evaluable data at BL and at follow-up; 438 (95.6%) were treated with UST and 455 (96.6%) with TNFi (including stoppers/switchers). UST and TNFi groups had BL differences in mean age (51.0 vs 48.5 years, respectively), concurrent comorbidities (68.7% vs 60.9%), time since diagnosis (7.5 vs 6.2 years), line of treatment (1st-line 45.0% vs 55.2%; 3rd-line 20.5% vs 12.1%), NSAID use (54.8% vs 68.8%), concomitant MTX use (29.9% vs 42.0%) and psoriasis skin involvement (BSA >10% in 26.6% vs 14.8%).In 714 pts with available data, mean (standard deviation) BL cDAPSA was 30.6 (20.2; n=358) for UST and 29.3 (18.6; n=356) for TNFi. Observed data showed differences in proportion of pts achieving MDA/VLDA and cDAPSA LDA/remission in favour of TNFi, but after PS adjustment for BL differences (such as line of therapy, skin psoriasis, concomitant conventional DMARD, etc.), odds ratios for reaching targets at 12 mo did not significantly differ between UST and TNFi groups (Fig. 1).Comparison of 6- and 12-mo unadjusted data showed sustained MDA/VLDA responses with both UST (21.8%) and TNFi (29.5%), with comparable proportions of additional pts achieving these targets between 6 and 12 mo (17.0% and 20.3%, respectively). Sustained efficacy became lower with successive lines of treatment (data not shown).Conclusion:Various factors, including patient characteristics such as comorbidities, influence the physician’s selection of treatment modality for patients needing a bDMARD. Our real-world results demonstrate differences in observed clinical effectiveness between UST and TNFi. However, after PS adjustment for a number of BL differences, clinical results at 12 mo were comparable between UST and TNFi groups. Data at 12 mo also show sustained response with both UST and TNFi treatment, as well as a similar rate of pts achieving targets after 6 to 12 mo of treatment.Acknowledgments:This study was funded by Janssen.Disclosure of Interests:Josef S. Smolen Grant/research support from: AbbVie, AstraZeneca, Celgene, Celltrion, Chugai, Eli Lilly, Gilead, ILTOO, Janssen, Novartis-Sandoz, Pfizer Inc, Samsung, Sanofi, Consultant of: AbbVie, AstraZeneca, Celgene, Celltrion, Chugai, Eli Lilly, Gilead, ILTOO, Janssen, Novartis-Sandoz, Pfizer Inc, Samsung, Sanofi, Stefan Siebert Grant/research support from: BMS, Boehringer Ingelheim, Celgene, GlaxoSmithKline, Janssen, Novartis, Pfizer, UCB, Consultant of: AbbVie, Boehringer Ingelheim, Janssen, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, Celgene, Janssen, Novartis, Tatiana Korotaeva Grant/research support from: Pfizer, Consultant of: Abbvie, BIOCAD, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck Sharp & Dohme, Novartis, Novartis-Sandoz, Pfizer, UCB, Speakers bureau: Abbvie, BIOCAD, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck Sharp & Dohme, Novartis, Novartis-Sandoz, Pfizer, UCB, Paul Bergmans Shareholder of: Johnson & Johnson, Employee of: Janssen, Kurt de Vlam Consultant of: Celgene Corporation, Eli Lilly, Novartis, Pfizer, UCB – consultant, Speakers bureau: Celgene Corporation, Eli Lilly, Novartis, Pfizer, UCB – speakers bureau and honoraria, Elisa Gremese Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck Sharp & Dohme, Novartis, Sanofi, UCB, Roche, Pfizer, Speakers bureau: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck Sharp & Dohme, Novartis, Sanofi, UCB, Roche, Pfizer, Beatriz Joven-Ibáñez Speakers bureau: Abbvie, Celgene, Janssen, Merck Sharp & Dohme, Novartis, Pfizer, Wim Noel Employee of: Janssen Pharmaceuticals NV, Michael T Nurmohamed Grant/research support from: Abbvie, Bristol-Myers Squibb, Celltrion, GlaxoSmithKline, Jansen, Eli Lilly, Menarini, Merck Sharp & Dohme, Mundipharma, Pfizer, Roche, Sanofi, USB, Consultant of: Abbvie, Bristol-Myers Squibb, Celltrion, GlaxoSmithKline, Jansen, Eli Lilly, Menarini, Merck Sharp & Dohme, Mundipharma, Pfizer, Roche, Sanofi, USB, Speakers bureau: Abbvie, Bristol-Myers Squibb, Celltrion, GlaxoSmithKline, Jansen, Eli Lilly, Menarini, Merck Sharp & Dohme, Mundipharma, Pfizer, Roche, Sanofi, USB, Petros Sfikakis Grant/research support from: Grant/research support from Abvie, Novartis, MSD, Actelion, Amgen, Pfizer, Janssen Pharmaceutical, UCB, Elke Theander Employee of: Janssen-Cilag Sweden AB, Laure Gossec Grant/research support from: Lilly, Mylan, Pfizer, Sandoz, Consultant of: AbbVie, Amgen, Biogen, Celgene, Janssen, Lilly, Novartis, Pfizer, Sandoz, Sanofi-Aventis, UCB


Cancers ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 844 ◽  
Author(s):  
Kei Muro ◽  
Taylor Salinardi ◽  
Arvind Rup Singh ◽  
Teresa Macarulla

Background: Metastatic colorectal cancer (mCRC) represents a substantial health burden globally and an increasing challenge in Asian countries. Treatment options include chemotherapy plus a vascular endothelial growth factor (VEGF) inhibitor (such as bevacizumab, aflibercept or ramucirumab), or anti-epidermal growth factor receptor (EGFR) therapies. Aflibercept, a recombinant fusion protein, has been approved for treatment of mCRC in combination with FOLFIRI for patients whose disease progresses during or after treatment with an oxaliplatin-containing regimen, based on its efficacy and tolerability profile in clinical trials. This report aims to provide an overview of both clinical and real-world evidence and experience on the use of aflibercept in routine clinical practice, with a focus on European, American and Asian populations. Methods: A literature search was conducted in PubMed (on 28th February 2019) using the search terms ("aflibercept") and ("Colorectal"OR"CRC") to identify publications containing information on aflibercept-containing regimens. Results: The adverse events (AE) profile was similar between geographical locations. Across trials, real-world and retrospective studies, grade ≥ 3 hypertension and proteinuria were amongst the most frequently reported AEs. Conclusions: The safety profile of aflibercept is generally manageable and comparable across various geographic locations.


2020 ◽  
Vol 14 (Supplement_1) ◽  
pp. S405-S405
Author(s):  
A Kubesch ◽  
L Rueter ◽  
K Farrag ◽  
T Krause ◽  
K Stienecker ◽  
...  

Abstract Background The IL-12/23 inhibitor ustekinumab (UST) opened up new treatment options for patients with Crohn’s disease (CD). Due to the recent approval, Real-World German data on long-term efficacy and safety are lacking. This study aimed to assess the clinical course of CD patients under UST therapy and to identify potential predictive markers. Methods Patients with CD receiving UST treatment in three hospitals and two outpatient centres were included and retrospectively analysed. Rates for short- and long-term remission and response were analysed with the help of clinical (Harvey–Bradshaw Index [HBI]) and biochemical (C-reactive protein [CRP], faecal calprotectin [fCal]) parameters for disease activity. Results Data from 180 patients were evaluated. One hundred six patients had a follow-up of at least 8 weeks and were included. 96.2% of the patients were pre-exposed to anti- TNFα agents and 34.4% to both anti-TNFα and anti-integrin. The median follow-up was 49.1 weeks (95% CI 42.03–56.25). At week 8, 51 patients (54.8%) showed response to UST, and 24 (24.7%) were in remission. At week 48, 39 (41.9%) responded to UST, and 20 patients (21.5%) were in remission. Steroid-free response and remission at week eight were achieved by 30.1%, and 19.3% of patients. At week 48, 26.9% showed steroid-free response to UST, and 15.1% of the initial patient population was in steroid-free remission. Clinical response at week 16 was independently associated with remission at week 48. Conclusion Our study confirms short- and long-term UST effectiveness and tolerability in a cohort of multi-treatment exposed patients.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19262-e19262
Author(s):  
Alyssa Antonopoulos ◽  
Elizabeth Eldridge ◽  
George Managadze ◽  
Elia Stupka ◽  
Hakim Lakhani ◽  
...  

e19262 Background: While Next-Generation Sequencing (NGS) tests become increasingly more common for diagnosis, molecular characterization, and treatment, a significant amount of molecular data derives from single-gene or analyte tests. Single gene test information is stored in disparate sources including electronic medical record (EMR) and data access for clinical use remains a challenge. A solution that harmonizes biomarker data beyond standard NGS-centric data and linked to rich clinical data is required for the complete patient picture. Methods: Health Catalyst’s extended real-world database, Touchstone includes a molecular data mart that integrates data from provider and life sciences proprietary NGS panels, Laboratory Information Systems, and other repositories. A portion of the data is derived from single-gene tests documented in the EMR. Biomarker data from EMRs was extracted from six health systems via a proprietary pipeline for extracting biomarker data. The algorithm relies on a curated ontology for molecular terms and publicly available terminologies for human genetics. Minor transformations extract pertinent variant information where available to harmonize with NGS-level data. Results: Over 44 thousand molecular labs from over 24 thousand patients were identified with this method. The oncology classes for which molecular data was identified in the greatest number of patients include skin, hematological, breast, digestive, and lung cancers (Table). PRTN3, EGFR, BRAF, JAK2, ERBB2, and KRAS are among the most commonly tested genes. Conclusions: Integrated real-world clinical and biomarker data from single gene tests can inform clinical decision-making and support clinical trial recruitment across a broader set of patient population. [Table: see text]


Cancers ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1572
Author(s):  
Orit Adato ◽  
Yaron Orenstein ◽  
Juri Kopolovic ◽  
Tamar Juven-Gershon ◽  
Ron Unger

Transcription factors encoded by Homeobox (HOX) genes play numerous key functions during early embryonic development and differentiation. Multiple reports have shown that mis-regulation of HOX gene expression plays key roles in the development of cancers. Their expression levels in cancers tend to differ based on tissue and tumor type. Here, we performed a comprehensive analysis comparing HOX gene expression in different cancer types, obtained from The Cancer Genome Atlas (TCGA), with matched healthy tissues, obtained from Genotype-Tissue Expression (GTEx). We identified and quantified differential expression patterns that confirmed previously identified expression changes and highlighted new differential expression signatures. We discovered differential expression patterns that are in line with patient survival data. This comprehensive and quantitative analysis provides a global picture of HOX genes’ differential expression patterns in different cancer types.


Gut ◽  
2019 ◽  
Vol 69 (1) ◽  
pp. 168-176 ◽  
Author(s):  
Enrico N De Toni ◽  
Anne Schlesinger-Raab ◽  
Martin Fuchs ◽  
Wolfgang Schepp ◽  
Ursula Ehmer ◽  
...  

ObjectiveHepatocellular carcinoma (HCC) is a major cause of death worldwide and its incidence is expected to increase globally. Aim of this study was to assess whether the implementation of screening policies and the improvement of treatment options translated into a real-world survival benefit in HCC patients.Design4078 patients diagnosed with HCC between 1998 and 2016 from the Munich Cancer Registry were analysed. Tumour characteristics and outcome were analysed by time period and according to age and presence of metastases at diagnosis. Overall survival (OS) was analysed using Kaplan-Meier method and relative survival (RS) was computed for cancer-specific survival. Cox proportional hazard models were conducted to control for prognostic variables.ResultsWhile incidence of HCC remained substantially stable, tumours were diagnosed at increasingly earlier stages, although the median age at diagnosis increased. The 3 years RS in HCC improved from 19.8% in 1998–2002, 22.4% in 2003–2007, 30.6% in 2008–2012 up to 31.0% in 2013–2016. Median OS increased from 6 months in 1998–2002 to 12 months in 2008–2016. However, analysis according to the metastatic status showed that survival improved only in patients without metastases at diagnosis whereas the prognosis of patients with metastatic disease remained unchanged.ConclusionThese real-world data show that, in contrast to the current assumptions, the incidence of HCC did not increase in a representative German region. Earlier diagnosis, likely related to the implementation of screening programmes, translated into an increasing employment of effective therapeutic options and a clear survival benefit in patients without metastases at diagnosis, irrespective of age.


BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e052186
Author(s):  
Tobias B Polak ◽  
David GJ Cucchi ◽  
Joost van Rosmalen ◽  
Carin A Uyl-de Groot

ObjectivesTo quantify and characterise the usage of expanded access (EA) data in National Institute for Health and Care Excellence (NICE) technology appraisals (TAs). EA offers patients who are ineligible for clinical trials or registered treatment options, access to investigational therapies. Although EA programmes are increasingly used to collect real-world data, it is unknown if and how these date are used in NICE health technology assessments.DesignCross-sectional study of NICE appraisals (2010–2020). We automatically downloaded and screened all available appraisal documentation on NICE website (over 8500 documents), searching for EA-related terms. Two reviewers independently labelled the EA usage by disease area, and whether it was used to inform safety, efficacy and/or resource use. We qualitatively describe the five appraisals with the most occurrences of EA-related terms.Primary outcome measureNumber of TAs that used EA data to inform safety, efficacy and/or resource use analyses.ResultsIn 54.2% (206/380 appraisals), at least one reference to EA was made. 21.1% (80/380) of the TAs used EA data to inform safety (n=43), efficacy (n=47) and/or resource use (n=52). The number of TAs that use EA data remained stable over time, and the extent of EA data utilisation varied by disease area (p=0.001).ConclusionNICE uses EA data in over one in five appraisals. In synthesis with evidence from well-controlled trials, data collected from EA programmes may meaningfully inform cost-effectiveness modelling.


2017 ◽  
Author(s):  
Marianna Bruno ◽  
Marcia Wright ◽  
Christine L Baker ◽  
Birol Emir ◽  
Eric Carda ◽  
...  

BACKGROUND Cigarette smoking is the leading preventable cause of death and is responsible for more than 480,000 deaths per year in the United States. Smoking cessation is challenging for many patients. Regardless of available treatment options, most quit attempts are unaided, and it takes multiple attempts before a patient is successful. With the ever-increasing use of smartphones, mobile apps hold promise in supporting cessation efforts. This study evaluates the ease of use and user satisfaction with the Pfizer Meds app to support smoking cessation among patients prescribed varenicline (Chantix). OBJECTIVE Study participants included varenicline users who downloaded and used the app on their personal smartphone. The main objectives were to report mobile app download frequency and usage details and to describe the participant-reported satisfaction with and usefulness of the app over the 14-week follow-up study period. METHODS Adults aged 18 years or older who had been prescribed varenicline were identified from the Express Scripts Incorporated pharmacy claims database. After meeting privacy restrictions, subjects were sent an invitation letter and second reminder letter with instructions on how to download the Pfizer Meds mobile app. Participants received a push notification to complete a smartphone-enabled survey regarding the utility of the app 12 weeks after downloading the app. Descriptive statistics summarized sociodemographics, use of varenicline, and details of use and satisfaction with the mobile app. RESULTS Of the 38,129 varenicline users who were sent invitation letters, 1281 participants (3.35%) downloaded the Pfizer Meds app. Of the 1032 users with demographic and other data, 585 (56.68%) were females, and 446 (43.22%) were males; mean age was 46.4 years (SD 10.8). The mean number of app sessions per participant was 4.0 (SD 6.8). The end-of-study survey was completed by 131 survey respondents (10.23%, 131/1281); a large number of participants (117/131, 89.3%) reported being extremely, very, or moderately satisfied with the app. A total of 97 survey respondents (97/131, 74.0%) reported setting up a quit date in the app. Of those, 74 (74/97, 76%) reported quitting on their quit date. CONCLUSIONS Positive patient engagement was observed in this study based on app download and usage. This study quantified how the Pfizer Meds app performed in an observational real-world data setting. The findings demonstrate the willingness of participants to set a quit date and use the app for support in medication adherence, refill reminders, and information regarding how to take the medication. This study provides real-world evidence of the contribution apps can make to the continued encouragement of smokers to improve their health by smoking cessation.


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