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EGFR Mutations in US Hispanics

with Lung Adenocarcinoma

Jonathan Villena-Vargas, M.D.

Department of Cardiothoracic Surgery, Weill Cornell Medicine,

New York-Presbyterian Hospital

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Kadmon/Sanofi

Disclosure

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  1. Background on early-stage non-small cell lung cancer

2) Current advances in treatment

3) Mutational analysis and prognosis in Latinos

4) Future directions

Outline

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The most common cause of cancer-related deaths, with over 1.8 million annual deaths expected globally.

NSCLC accounts for 85% of all lung cancers.

Treatment has altered dramatically, primarily due to targeted and immunotherapy-based treatments.

Background

W.H.O 2018

Herbst et al Nature 2018

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Targeted therapy in non-small cell lung cancer

Wang et al Nature Medicine 2021

Actionable mutations in NSCLC

-Adenocarcinoma 38%

-Squamous carcinoma ~1%

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Targeted therapy in non-small cell lung cancer

Wang et al Nature Medicine 2021

Targeted therapy in advanced NSCLC

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Targeted therapy in non-small cell lung cancer

Targeted therapy in advanced NSCLC

Targeted therapy in resectable EGFR+ NSCLC

Wu Yi et al NEJM 2020

Wang et al Nature Medicine 2021

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Cancer discovery 2021

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Cancer discovery 2021

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  • Activating mutations in EGFR occur in 40-60% of Asian,15% of Black patients and 15-20% of White patients with lung adenocarcinoma (1)
  • Prevalence of the mutation in 60 million U.S Hispanic patients with lung adenocarcinoma has not been well described (2)

Lee et al. J Thorac Oncol. 2017

Pew Research Center. 2017

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Methods

  • Queried our prospective database (2015-2019) for patients undergoing resection for lung adenocarcinoma
  • Patients undergoing resection for lung adenocarcinoma were assessed for EGFR mutations (exons 18-21) utilizing a targeted gene panel
  • Patients were stratified by self-identified race/ethnicity; patients were exclude if race/ethnicity was unknown
  • Demographics were compared using Chi-Squared analysis and survival with Kaplan-Meier Curves

Villena-Vargas, Weill Cornell Medicine, USA

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Results

1035 patients were identified from 2015-2019 that underwent resection for lung cancer in our database

1035 lung cancer resections identified

768 patients with adenocarcinoma histology

668 patients with known self-identified race/ethnicity

267 patients with non-adenocarcinoma histology

100 patients race/ethnicity was unknown

Villena-Vargas, Weill Cornell Medicine, USA

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  • Hispanic patients displayed a higher frequency of EGFR mutations than Whites (35% vs. 20%, p=0.013)

  • Hispanic and Asian patients were younger and less likely to be smokers than White patients (59% & 45% vs. 82%, p<0.001).

Results

Table 1

White (n=442)

Hispanic (n=55)

Asian (n=121)

Black (n=50)

Characteristic

Median age, IQR

72 (66 – 78)

69, (63 – 75)

p=0.054

68, (62 – 74)

p<0.001

67, (62 – 73)

p=0.001

Gender, Female

266 (61%)

33 (62%)

p=0.860

55 (45%)

p=0.001

34 (68%)

p=0.335

Smoking, Yes

362 (83%)

 

31 (59%)

p<0.001

54 (45%)

p<0.001

42 (84%)

p=0.862

EGFR Mutation Frequency

89 (20%)

 

19 (35%)

p=0.019

82 (66%)

p<0.001

10 (20%)

p=0.994

Pathology stage

Path stage 0/IA/IB

Path stage IIA/IIB

Path stage IIIA/IIIB

Path stage IV

334 (76%)

42 (9%)

54 (12%)

8(2%)�

42 (80%)

5 (9%)

5 (9%)

1 (2%)

p=0.937

84 (72%)

18 (15%)

12 (10%)

4 (3%)

P=0.275

39 (78%)

4 (8%)

5 (10%)

2 (4%)

p = 0.628

Villena-Vargas, Weill Cornell Medicine, USA

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  • Hispanic EGFR mutant patients had worse 3-year overall survival (OS) than White and Asian patients

Results

Villena-Vargas, Weill Cornell Medicine, USA

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  • Hispanic EGFR mutant patients had worse 3-year overall survival (OS) than White and Asian patients

  • EGFR mutations were similar across groups

Results

Villena-Vargas, Weill Cornell Medicine, USA

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Clinically matched Latino and NHW with NSCLC adenocarcinoma

RNA

Bulk RNAseq

New Englander precision medicine

DNA

Immunophenotyping- Transcriptome deconvolution

Whole genome sequencing

Future directions

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Mittal Lab

Dr. Vivek Mittal

Tatiana Cruz

Arshdeep Singh

Geoffrey Markowitz

Shelley Bai

Mitchell Martin

Lab members

McGraw Lab

Dr. Timothy McGraw

Lab members

Funding

Kadmon/Sanofi

Mastercard pilot grant

Dean’s Award Cornell University

GMaP/NIH Stimulus Award

CT Surgery Department

Dr. Altorki

Thoracic Surgery Faculty

Neuberger Berman Lung Cancer Research Center

Dr. Altorki

Dr. Vivek Mittal

Murtaza Malbari

Acknowledgements

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Jonathan Villena-Vargas

Thoracic Surgery

jov9069@med.cornell.edu

Gracias y cuidence!

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PRIOR EXPOSURE TO NON-STEROIDAL ANTI-INFLAMMATORY DRUGS REDUCES RATE OF ORGAN FAILURE AND IN-HOSPITAL MORTALITY IN ACUTE PANCREATITIS

Antonio Mendoza Ladd MD, AGAF, FACG, FASGE

Associate Professor of Medicine

Medical Director of Endoscopy

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BACKGROUND

  • Pro-inflammatory cytokines play a key role in the development of organ failure (OF) and mortality in patients with acute pancreatitis (AP).

  • NSAIDs have been linked to a lower expression of such cytokines in animals and recently in humans. However, it is unclear if this improves immediate clinical outcomes.

  • The aim of this study was to determine if prior NSAID exposure decreases the rates of OF and in-hospital mortality in humans with AP.

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METHODS

  • Retrospective cohort of medical records of adult patients admitted with AP using a national Veterans Administration database.

  • NSAID use was determined through pharmacy claims.

  • duration of use was divided into ≤1 year (≥1 day but < 1 year) or >1 year.

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NSAIDS ANALYZED

  • mefenamic acid
  • meclofenamate
  • ketoprofen
  • indomethacin
  • fenoprofen
  • piroxicam
  • etodolac
  • naproxen
  • diclofenac sodium
  • oxaprozin
  • naproxen sodium
  • diclofenac potassium
  • flurbiprofen
  • ibuprofen
  • Diclofenac
  • celecoxib
  • tolmetin
  • ketorolac
  • nabumetone
  • meloxicam
  • sulindac

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METHODS

  • two groups: prior NSAID use (AP+NSAID); no prior nsaid use (AP-NSAID).

  • Cases identified using AP ICD 9 diagnosis code 577.0. Cases divided into gallstone and non-gallstone related.

  • OF defined by documentation of: acute kidney injury(584.9), respiratory failure (518.81) and cardiovascular failure (458.9).

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METHODS

  • Comparison between the two groups done using univariate and multivariate analysis.

  • Inclusion criteria: any patient admitted with ap who filled a ≥30 day prescription for NSAIDs up to the day prior to admission.

  • Exclusion criteria: patients who filled a ≥30 day prescription for NSAIDs for the first time after admission.

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PATIENT SELECTION PROCESS

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RESULTS

  • Median age 60 years, 68% were Caucasian, 95% were males and ~2% died during the hospitalization.

  • DM, smoking and ETOH consumption were significantly higher in the AP+NSAID group.

  • age, gallstone etiology, rate of ERCP and pancreatic cancer were significantly higher in the AP –NSAID one.

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SIGNIFICANT DIFFERENCES IN THE 2 GROUPS

 

All AP patients

N=31340

N (%)

AP –NSAID

N=2976

N (%)

AP +NSAID

N=28364

N (%)

P-value

Age in years (median, IQR)

60 (53-68)

62 (53-70)

60 (53-68)

0.028

Race*

 

 

 

<0.0001

White

21268 (68.31)

2268 (77.86)

19000 (67.32)

 

Black

8041 (25.83)

494 (16.96)

7547 (26.74)

 

Other races

1827 (5.87)

151 (5.18)

1676 (5.94)

 

Smoking history*

 

 

 

<0.0001

Non-smoker

9423 (30.38)

927 (32.48)

8496 (30.17)

 

Current smoker

17580 (56.68)

1472 (51.58)

16108 (57.20)

 

Past smoker

4013 (12.94)

455 (15.94)

3558 (12.63)

 

Etiology

 

 

 

<0.0001

Gallstones

5396 (17.22)

603 (20.26)

4793 (16.90)

 

Non-gallstone

25944 (82.78)

2373 (79.74)

23571 (83.10)

 

Comorbidities

 

 

 

 

History of alcohol

15918 (50.79)

1302 (43.75)

14616 (51.53)

<0.0001

DM

16876 (53.85)

1134 (38.10)

15742 (55.50)

<0.0001

Pancreatic cancer

110 (0.35)

20 (0.67)

90 (0.32)

0.002

ERCP

1674 (5.34)

201 (6.75)

1473 (5.19)

0.0003

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MULTIVARIATE ANALYSIS OF OUTCOMES

Outcomes

Odds ratio (95% CIs)

P-value

Acute kidney Injury

0.79 (0.70-0.89)

0.0002

Acute Respiratory Failure

0.94 (0.69-1.01)

0.069

Cardiovascular failure

0.64 (0.44-0.95)

0.025

Any organ failure

0.79 (0.71-0.89)

<0.0001

In-hospital death

0.44 (0.36-0.54)

<0.0001

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MULTIVARIATE ANALYSIS OF OUTCOMES BY NSAID USE DURATION

 

Odds ratio (95% CIs)

P-value

Acute kidney Injury

 

 

No NSAID use

Reference

 

Less than 1 year

0.71 (0.61-0.83)

<0.001

>1 year of NSAID use

0.82 (0.72-0.93)

0.001

Acute Respiratory Failure

 

0.069

No NSAID use

Reference

 

Less than 1 year

0.77 (0.61-0.97)

0.029

>1 year of NSAID use

0.86 (0.71-1.05)

0.146

Cardiovascular failure

 

 

No NSAID use

Reference

 

Less than 1 year

0.57 (0.34-0.94)

0.027

>1 year of NSAID use

0.67 (0.45-0.99)

0.046

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MULTIVARIATE ANALYSIS OF OUTCOMES BY NSAID DURATION

Odds ratio (95% CIs)

P-value

Any organ failure

No NSAID use

Reference

 

Less than 1 year

0.72 (0.63-0.82)

<0.001

>1 year of NSAID use

0.82 (0.73-0.92)

<0.001

In-hospital death

 

 

No NSAID use

Reference

 

Less than 1 year

0.43 (0.32-0.56)

<0.001

>1 year of NSAID use

0.49 (0.36-0.55)

<0.001

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CONCLUSION

  • Prior use of NSAIDs for as short as ≥1 day prior to AP onset is associated with a lower incidence of OF and in-hospital mortality in adult patients.

  • The role of NSAIDs as therapeutic agents in AP should be evaluated in clinical trials.

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Richard Aguilar, MD.

Chief Clinical Officer, Cano Health

IMPROVING EGFR VALUES IN A REAL-WORLD PATIENT COHORT. SLOWED PROGRESSION OF STAGE 3 CKD FROM A TWO-YEAR ANALYSIS OF 1,528 ELDERLY LATINO PATIENTS IN A MEDICARE ADVANTAGE POPULATION.

NHMA 25th Annual Conference,

Crystal City, VA

March 24 – 27, 2022

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Disclosure:

Speakers Bureau for Novo Nordisk A/S

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Patients with

Diabetes and CKD

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https://www.cghjournal.org/article/S1542-3565(19)30839-0/fulltext

CKD Stage 3

Albuminuria >300mg/mmol

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*Afkarian M et al. J Am Soc Nephrol. 2013;24(2):302-308

Pts with CKD have significantly associated cost of care

  • increased need for medications, clinic/clinician visits
  • hospitalization, cardiovascular complications
  • myocardial infarction, stroke, congestive heart failure
  • costs of dialysis or kidney transplant.

Pts with DM and CKD, the ten-year standardized for

all-cause mortality is*:

  • 4X (7.7% vs 31.1%) and cardiovascular mortality
  • 6X (3.4% vs 19.6%) that of pts without DM and CKD.

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38

25% Patients 70+ Y/O have CKD Stage 3-5

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National Health and Nutrition Examination Survey

  • Suggest that CKD prevalence is 38%
  • Those > 65 years old
  • Compared with 13% in the overall US population

Coresh et al. JAMA 2007

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>80% of CanoHealth patients are Latino and have higher rates of chronic diseases when compared with average US Medicare Advantage patients:

  • Hypertension (84% vs 70%)
  • Diabetes (41% vs 33%)
  • CKD (45% vs 38%).

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The CREDENCE trial showed that canagliflozin is superior to placebo in improving glycemic control and reducing adverse renal events among patients with DM2 and established CKD

June 13, 2019�N Engl J Med 2019; 380:2295-230

The FDA approved a new indication for the SGLT2 inhibitor canagliflozin to 

reduce the risk for end-stage renal disease Sept 2019

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PBO: eGFR reduction ≈ 5 ml/min/1.73m² per Year

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  • On January 1, 2018 through December 31st 2018,

2,307 elderly patients (≥65 YO) were enrolled in CanoHealth’s

staff model. 

  • In current study, we identified and analyzed 1,527 of those patients with comorbid diabetes and CKD Stage 3 (along with albuminuria between 300- 5,000 mg) (average age = 75 YO) upon intake into CanoHealth, or within 3 months of the patient enrollment date.

  • eGFR values were collected (quarterly or half-yearly) for 24 months. Alc, Body Mass Index (BMI) and blood pressure were collected at baseline and end of study.

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  • Upon receiving intensive management in line with the CanoHealth care model.

  • Change in eGFR from baseline at 6, 12, 18 and 24 months were +2.4, +1.8, +0.6, and – 1.1 ml/min/1.73 m², respectively.

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Number of patients

1,528

207

306

330

44

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Example of tools embedded

in the EHR Platform, Structured Data

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  • Average 11 visits per year
  • Pharmacy Compliance (5 STAR HTN, Chol, OAD)
  • Cano at Home
  • 100% NCQA Certification, DRP & Heart/Stroke Prev
  • TEACH Program- telehealth post discharge management
  • Pop Health- Risk Stratify
  • In House Billing and Coding dept

Example of tools:

That contribute to patient care

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  • CKD has wide ranging health effects
  • The elevation of CKD with a new Risk Adjustment Factor by CMS
  • Highlighting the importance related to increase in health care services and costs to managing it and its complications.

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Thank our Clinical Operations (clinical staff), Care Management, and Pharmacy teams who worked to diagnose, treat, manage, and collect the data for this poster presentation.

Special thanks to:

Lina, Silka, Michelle, Morgan, and Stephany

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Questions…

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