Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Niamh Long is active.

Publication


Featured researches published by Niamh Long.


Journal of Clinical Oncology | 2018

Molecular Determinants of Response to Anti-Programmed Cell Death (PD)-1 and Anti-Programmed Death-Ligand 1 (PD-L1) Blockade in Patients With Non-Small-Cell Lung Cancer Profiled With Targeted Next-Generation Sequencing.

Hira Rizvi; Francisco Sanchez-Vega; Konnor La; Walid K. Chatila; Philip Jonsson; Darragh Halpenny; Andrew J. Plodkowski; Niamh Long; Jennifer Sauter; Natasha Rekhtman; Travis J. Hollmann; Kurt A. Schalper; Justin F. Gainor; Ronglai Shen; Ai Ni; Kathryn Cecilia Arbour; Taha Merghoub; Jedd D. Wolchok; Alexandra Snyder; Jamie E. Chaft; Mark G. Kris; Charles M. Rudin; Nicholas D. Socci; Michael F. Berger; Barry S. Taylor; Ahmet Zehir; David B. Solit; Maria E. Arcila; Marc Ladanyi; Gregory J. Riely

Purpose Treatment of advanced non-small-cell lung cancer with immune checkpoint inhibitors (ICIs) is characterized by durable responses and improved survival in a subset of patients. Clinically available tools to optimize use of ICIs and understand the molecular determinants of response are needed. Targeted next-generation sequencing (NGS) is increasingly routine, but its role in identifying predictors of response to ICIs is not known. Methods Detailed clinical annotation and response data were collected for patients with advanced non-small-cell lung cancer treated with anti-programmed death-1 or anti-programmed death-ligand 1 [anti-programmed cell death (PD)-1] therapy and profiled by targeted NGS (MSK-IMPACT; n = 240). Efficacy was assessed by Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1, and durable clinical benefit (DCB) was defined as partial response/stable disease that lasted > 6 months. Tumor mutation burden (TMB), fraction of copy number-altered genome, and gene alterations were compared among patients with DCB and no durable benefit (NDB). Whole-exome sequencing (WES) was performed for 49 patients to compare quantification of TMB by targeted NGS versus WES. Results Estimates of TMB by targeted NGS correlated well with WES (ρ = 0.86; P < .001). TMB was greater in patients with DCB than with NDB ( P = .006). DCB was more common, and progression-free survival was longer in patients at increasing thresholds above versus below the 50th percentile of TMB (38.6% v 25.1%; P < .001; hazard ratio, 1.38; P = .024). The fraction of copy number-altered genome was highest in those with NDB. Variants in EGFR and STK11 associated with a lack of benefit. TMB and PD-L1 expression were independent variables, and a composite of TMB plus PD-L1 further enriched for benefit to ICIs. Conclusion Targeted NGS accurately estimates TMB and elevated TMB further improved likelihood of benefit to ICIs. TMB did not correlate with PD-L1 expression; both variables had similar predictive capacity. The incorporation of both TMB and PD-L1 expression into multivariable predictive models should result in greater predictive power.


Cancer Discovery | 2018

STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma

Ferdinandos Skoulidis; Michael E. Goldberg; Danielle Greenawalt; Matthew D. Hellmann; Mark M. Awad; Justin F. Gainor; Alexa B. Schrock; Ryan J. Hartmaier; Sally E. Trabucco; Siraj M. Ali; Julia A. Elvin; Gaurav Singal; Jeffrey S. Ross; David Fabrizio; Peter Szabo; Han Chang; Ariella Sasson; Sujaya Srinivasan; Stefan Kirov; Joseph D. Szustakowski; Patrik Vitazka; Robin Edwards; Jose A. Bufill; Neelesh Sharma; Sai-Hong Ignatius Ou; Nir Peled; David R. Spigel; Hira Rizvi; Elizabeth Jimenez Aguilar; Brett W. Carter

KRAS is the most common oncogenic driver in lung adenocarcinoma (LUAC). We previously reported that STK11/LKB1 (KL) or TP53 (KP) comutations define distinct subgroups of KRAS-mutant LUAC. Here, we examine the efficacy of PD-1 inhibitors in these subgroups. Objective response rates to PD-1 blockade differed significantly among KL (7.4%), KP (35.7%), and K-only (28.6%) subgroups (P < 0.001) in the Stand Up To Cancer (SU2C) cohort (174 patients) with KRAS-mutant LUAC and in patients treated with nivolumab in the CheckMate-057 phase III trial (0% vs. 57.1% vs. 18.2%; P = 0.047). In the SU2C cohort, KL LUAC exhibited shorter progression-free (P < 0.001) and overall (P = 0.0015) survival compared with KRASMUT;STK11/LKB1WT LUAC. Among 924 LUACs, STK11/LKB1 alterations were the only marker significantly associated with PD-L1 negativity in TMBIntermediate/High LUAC. The impact of STK11/LKB1 alterations on clinical outcomes with PD-1/PD-L1 inhibitors extended to PD-L1-positive non-small cell lung cancer. In Kras-mutant murine LUAC models, Stk11/Lkb1 loss promoted PD-1/PD-L1 inhibitor resistance, suggesting a causal role. Our results identify STK11/LKB1 alterations as a major driver of primary resistance to PD-1 blockade in KRAS-mutant LUAC.Significance: This work identifies STK11/LKB1 alterations as the most prevalent genomic driver of primary resistance to PD-1 axis inhibitors in KRAS-mutant lung adenocarcinoma. Genomic profiling may enhance the predictive utility of PD-L1 expression and tumor mutation burden and facilitate establishment of personalized combination immunotherapy approaches for genomically defined LUAC subsets. Cancer Discov; 8(7); 822-35. ©2018 AACR.See related commentary by Etxeberria et al., p. 794This article is highlighted in the In This Issue feature, p. 781.


Cancer immunology research | 2018

Safety and Efficacy of Re-treating with Immunotherapy after Immune-Related Adverse Events in Patients with NSCLC

Fernando C. Santini; Hira Rizvi; Andrew J. Plodkowski; Andy Ni; Mario E. Lacouture; Maya Gambarin-Gelwan; Olivia Wilkins; Elizabeth Panora; Darragh Halpenny; Niamh Long; Mark G. Kris; Charles M. Rudin; Jamie E. Chaft; Matthew D. Hellmann

Treatment interruption due to irAEs in NSCLC patients treated with anti-PD-L1 was retrospectively assessed. Data suggest that treatment discontinuation should be considered for patients requiring hospitalization for irAEs and those with objective responses prior to irAE onset. Considering retreatment following recovery from an immune-related adverse event (irAE) is a common clinical scenario, but the safety and benefit of retreatment is unknown. We identified patients with advanced non–small cell lung cancer (NSCLC) treated with anti-PD-(L)1 who had treatment held due to irAEs and divided them into two groups: those retreated with anti-PD-(L)1 (retreatment cohort) or those who had treatment stopped (discontinuation cohort). Out of 482 NSCLC patients treated with anti-PD-(L)1, 68 (14%) developed a serious irAE requiring treatment interruption. Of these, 38 (56%) were retreated and 30 (44%) had treatment discontinued. In the retreatment cohort, 18 (48%) patients had no subsequent irAEs, 10 (26%) had recurrence of the initial irAE, and 10 (26%) had a new irAE. Most recurrent/new irAEs were mild (58% grade 1–2) and manageable (84% resolved or improved to grade 1). Two treatment-related deaths occurred. Recurrent/new irAEs were more likely if the initial irAE required hospitalization, but the initial grade and time to retreatment did not influence risk. Among those with no observed partial responses prior to the irAE, progression-free survival (PFS) and overall survival (OS) were longer in the retreatment cohort. Conversely, for those with objective responses prior to the irAE, PFS and OS were similar in the retreatment and discontinuation cohorts. Among patients with early objective responses prior to a serious irAE, outcomes were similar, whether or not they were retreated. Together, data suggest that benefit may occur with retreatment in patients with irAEs who had no treatment response prior to irAE onset. Cancer Immunol Res; 6(9); 1093–9. ©2018 AACR.


Journal of Thoracic Oncology | 2016

Patients with a Previous History of Malignancy Undergoing Lung Cancer Screening: Clinical Characteristics and Radiologic Findings

Darragh Halpenny; Jane D. Cunningham; Niamh Long; Ramon E. Sosa; Michelle S. Ginsberg

Introduction: The aim of this study was to describe the clinical characteristics and radiologic findings in patients with a previous history of malignancy who underwent computed tomography (CT) screening for lung cancer. Methods: Patients with a previous history of malignancy and a life expectancy of at least 5 years who were referred for lung cancer screening between May 2, 2011, and September 24, 2014, were included. CT scan features assessed included nodule size, morphologic features, and number. The Lung‐CT Reporting and Data System scoring system was retrospectively applied to all studies. Results: A total of 139 patients were studied (mean age of 66 years and median smoking history of 50 pack‐years). All had a previous history of cancer, most often breast cancer (60 patients [43%]), head or neck cancer (26 patients [19%]), and lung cancer (16 patients [12%]). Of these patients, 42 (30%) had a positive screening study result. Lung cancer was diagnosed in seven patients (5%), and a radiation‐induced chest wall sarcoma was diagnosed in one patient (1%); 42 patients (30%) had a positive chest CT scan per the National Comprehensive Cancer Network lung cancer screening nodule follow‐up algorithm. Conclusion: The rate of diagnosis of lung cancer in our patient population is higher than in several previously published studies. Smokers with a history of malignancy may be a group at particularly high risk for the development of subsequent lung cancer.


Journal of Clinical Oncology | 2018

Impact of Baseline Steroids on Efficacy of Programmed Cell Death-1 and Programmed Death-Ligand 1 Blockade in Patients With Non–Small-Cell Lung Cancer

Kathryn Cecilia Arbour; Laura Mezquita; Niamh Long; Hira Rizvi; Edouard Auclin; Andy Ni; Gala Martínez-Bernal; Roberto Ferrara; W. Victoria Lai; Lizza Hendriks; Joshua K. Sabari; C. Caramella; Andrew J. Plodkowski; Darragh Halpenny; Jamie E. Chaft; David Planchard; Gregory J. Riely; Benjamin Besse; Matthew D. Hellmann

PURPOSE Treatment with programmed cell death-1 or programmed death ligand 1 (PD-(L)1) inhibitors is now standard therapy for patients with lung cancer. The immunosuppressive effect of corticosteroids may reduce efficacy of PD-(L)1 blockade. On-treatment corticosteroids for treatment of immune-related adverse events do not seem to affect efficacy, but the potential impact of baseline corticosteroids at the time of treatment initiation is unknown. Clinical trials typically excluded patients who received baseline corticosteroids, which led us to use real-world data to examine the effect of corticosteroids at treatment initiation. METHODS We identified patients who were PD-(L)1-naïve with advanced non-small-cell lung cancer from two institutions-Memorial Sloan Kettering Cancer Center and Gustave Roussy Cancer Center-who were treated with single-agent PD-(L)1 blockade. Clinical and pharmacy records were reviewed to identify corticosteroid use at the time of beginning anti-PD-(L)1 therapy. We performed multivariable analyses using Cox proportional hazards regression model and logistic regression. RESULTS Ninety (14%) of 640 patients treated with single-agent PD-(L)1 blockade received corticosteroids of ≥ 10 mg of prednisone equivalent daily at the start of the PD-(L)1 blockade. Common indications for corticosteroids were dyspnea (33%), fatigue (21%), and brain metastases (19%). In both independent cohorts, Memorial Sloan Kettering Cancer Center (n = 455) and Gustave Roussy Cancer Center (n = 185), baseline corticosteroids were associated with decreased overall response rate, progression-free survival, and overall survival with PD-(L)1 blockade. In a multivariable analysis of the pooled population, adjusting for smoking history, performance status, and history of brain metastases, baseline corticosteroids remained significantly associated with decreased progression-free survival (hazard ratio, 1.3; P = .03), and overall survival (hazard ratio, 1.7; P < .001). CONCLUSION Baseline corticosteroid use of ≥ 10 mg of prednisone equivalent was associated with poorer outcome in patients with non-small-cell lung cancer who were treated with PD-(L)1 blockade. Prudent use of corticosteroids at the time of initiating PD-(L)1 blockade is recommended.


Journal of Computer Assisted Tomography | 2017

Computed Tomographic Appearance of Organizing Pneumonia in an Oncologic Patient Population.

Niamh Long; Andrew J. Plodkowski; Rachel Schor-Bardach; Alexander I. Geyer; Junting Zheng; Chaya S. Moskowitz; Michelle S. Ginsberg

Objective The aims of this study were to describe the computed tomographic features of organizing pneumonia (OP) in an oncologic patient population and to also identify features associated with lung cancer and patients undergoing hematopoietic stem cell transplant (HSCT). Methods In retrospective computed tomographies from 151 patients with pathologically confirmed OP between January 2009 and September 2014, number of lesions, location, size, margin type, and consistency, as well as volume of lymphadenopathy and the presence and size of pleural effusions, were recorded. Associated malignancy was noted. Results Organizing pneumonia most commonly presented as a diffuse process (n = 62, 41%), frequently occupied both a central and peripheral location (n = 79, 53%), and commonly presented with a solid appearance (n = 67, 44%) or with ground glass opacity (n = 80, 53%). Pleural effusions were seen in 68 patients (45%). Organizing pneumonia less frequently contained air bronchograms, cavitation, necrosis, surrounding ground glass opacity, or adjacent bronchiectasis. In patients with lung cancer (n = 25, 17%), OP more likely presented as discrete lesions and occupied a peripheral location as compared with patients with other malignancies (Ps = 0.025 and 0.002). In HSCT patients (n = 29, 19%), a diffuse process was more commonly seen than in non-HSCT patients (P = 0.038). Conclusions Organizing pneumonia more commonly presents as discrete lesions with a peripheral location in patients with lung cancer and as a diffuse process in patients who had undergone HSCT.


Abdominal Radiology | 2018

Imaging features of hepatocellular carcinoma compared to intrahepatic cholangiocarcinoma and combined tumor on MRI using liver imaging and data system (LI-RADS) version 2014.

Natally Horvat; Ines Nikolovski; Niamh Long; Scott R. Gerst; Jian Zheng; Linda M. Pak; Amber L. Simpson; Junting Zheng; Marinela Capanu; William R. Jarnagin; Lorenzo Mannelli; Richard K. G. Do


Journal of Clinical Oncology | 2017

STK11/LKB1 co-mutations to predict for de novo resistance to PD-1/PD-L1 axis blockade in KRAS-mutant lung adenocarcinoma.

Ferdinandos Skoulidis; Matthew D. Hellmann; Mark M. Awad; Hira Rizvi; Brett W. Carter; Warren Denning; Yasir Elamin; Jianjun Zhang; Giulia Costanza Leonardi; Darragh Halpenny; Andrew J. Plodkowski; Niamh Long; Jeremy J. Erasmus; Vassiliki Papadimitrakopoulou; Kwok-Kin Wong; Ignacio I. Wistuba; Pasi A. Jänne; Charles M. Rudin; John V. Heymach


Abdominal Radiology | 2017

Prostate cancer bone metastases on staging prostate MRI: prevalence and clinical features associated with their diagnosis.

Hebert Alberto Vargas; Rachel Schor-Bardach; Niamh Long; Anna N. Kirzner; Jane D. Cunningham; Debra A. Goldman; Chaya S. Moskowitz; Ramon E. Sosa; Evis Sala; David M. Panicek; Hedvig Hricak


Journal of Clinical Oncology | 2018

Deleterious effect of baseline steroids on efficacy of PD-(L)1 blockade in patients with NSCLC.

Kathryn Cecilia Arbour; Laura Mezquita; Niamh Long; Hira Rizvi; Edouard Auclin; Ai Ni; Gala Martinez Bernal; Jamie E. Chaft; Roberto Ferrara; Wei-Chu Victoria Lai; Lizza Hendriks; Joshua K. Sabari; C. Caramella; Andrew J. Plodkowski; Darragh Halpenny; David Planchard; Gregory J. Riely; Benjamin Besse; Matthew D. Hellmann

Collaboration


Dive into the Niamh Long's collaboration.

Top Co-Authors

Avatar

Andrew J. Plodkowski

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Darragh Halpenny

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Matthew D. Hellmann

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Hira Rizvi

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Jamie E. Chaft

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Charles M. Rudin

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Gregory J. Riely

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Kathryn Cecilia Arbour

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Andy Ni

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Brett W. Carter

University of Texas MD Anderson Cancer Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge