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Breath Analysis For Lung Cancer Early Detection Ori Liran a , Manal Abud-Hawa b , Maya Ilouze a,c , Naomi Gai-Mor a , Shlomi Dekel a , Alon Ben-Nun d , Amir Onn a , Jair Bar d , Douglas Johnson e , John Wells e , Stuart Millstone e , Paul A Bunn Jr f , , York Miller f , Robert L. Keith g , Brad Rikke f , Fred R Hirsch f , Hossam Haick b and Nir Peled a,c * a Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel-Aviv, Israel; b The Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion – Israel Institute of Technology, Haifa, Israel; c Davidoff Cancer Center, Rabin Medical Center d Institute of Oncology, Sheba Medical Center, Israel; e Florida Radiation Oncology Group, Fl, USA; f University of Colorado Cancer Center, Denver, CO, USA; g Denver VA Medical Center, Denver, CO, USA Introduction 150,000 new lung nodules are detected annually in US, while only minor percentage of them is malignant. Final diagnosis requires biopsy and/or surgery. Screening for Lung Cancer was proven to reduce the related mortality by 20%. The screening program suffers from high false positivity (96% out of the 24% positive CT scans; NLST study). Volatile Organic Compounds (VOCs) are organic metabolites that are released by the cancer cells and/or by the surrounding environment. Our previous studies showed that: Cancer cells show specific VOCs signature. Cancer cells show specific VOCs signature per histology and genetic profile. Aim of the Current Study : To detect lung cancer and its stage by exhaled breath analysis. Results SorbentTube G lassC over C ellLines Therm al D esorption H otPlate SorbentM aterial O utput N 2 orVacuum Input G C -M S & SPM E A rray of A u N P C hem iresistors Exhaled air collection: Delivering to a reference lab (Technion, Israel) : 1.Heating to evaporate the VOC in inert environment conditions. 2.Analyzing by GCMS and Artificial Olfactory System (gold Nano-Particles). Patients 358 subjects were enrolled : Israel: 174; Denver: 111; Florida: 73. 213 lung cancer patients: among 62 early disease and 143 advanced stage. 145 patients did not have cancer Florida Exhale Breath Analysis by E-nose Cell line study showing different VOCs signature in NSCLC vs. SCLC and sub- histologies (NanoMedicine 2012) Methods Lung cancer patients and matching High risk control patients were recruited to the study Conclusion : Breath analysis discriminated malignant from benign conditions in a high-risk cohort based on volatile signature. Furthermore, it discriminated between early versus advanced disease. These achievements stand in consistency with the requirements of society for rapid and early diagnosis of diseases as a part of therapeutic approach and facilitating rapid treatment. [email protected] Discrimination between control and lung cancer Discrimination between early and advanced disease Israel Exhale Breath Analysis by E- nose LC C ontrol -2 0 2 4 6 8 C anonical1 LC C ontrol Sensitivity Specificity Accuracy Control / LC 93.87% 95.65 % 94.44% Early LC /Advanced LC 83.33% 91.66 % 89.58% Sensitivity Specificity Accuracy ROC AUC Control / Early LC 81.25% 90.32% 85.11% 0.81048 Control / Advanced LC 81.25% 87.10% 82.11% 0.83065 Early LC /Advanced LC 80.26% 75% 78.75% 0.75293 Discrimination between control and early lung cancer Early stage C ontrol -4 -3 -2 -1 0 1 2 C anonicalS core Discrimination between early and advanced disease Advanced LC Early LC -3 -2 -1 0 1 2 3 C anonicalS core

Breath Analysis For Lung Cancer Early Detection Ori Liran a, Manal Abud-Hawa b, Maya Ilouze a,c, Naomi Gai-Mor a, Shlomi Dekel a, Alon Ben-Nun d, Amir

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Page 1: Breath Analysis For Lung Cancer Early Detection Ori Liran a, Manal Abud-Hawa b, Maya Ilouze a,c, Naomi Gai-Mor a, Shlomi Dekel a, Alon Ben-Nun d, Amir

Breath Analysis For Lung Cancer Early DetectionOri Lirana, Manal Abud-Hawab, Maya Ilouzea,c, Naomi Gai-Mora, Shlomi Dekela, Alon Ben-Nund, Amir Onna, Jair Bard,

Douglas Johnsone, John Wellse, Stuart Millstonee, Paul A Bunn Jrf, , York Millerf, Robert L. Keithg, Brad Rikkef, Fred R Hirschf , Hossam Haickb and Nir Peleda,c

*

aThoracic Cancer Research and Detection Center, Sheba Medical Center, Tel-Aviv, Israel; bThe Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion – Israel Institute of Technology, Haifa, Israel; cDavidoff Cancer Center, Rabin Medical Center d Institute of Oncology, Sheba Medical Center, Israel;

e Florida Radiation Oncology Group, Fl, USA; f University of Colorado Cancer Center, Denver, CO, USA; g Denver VA Medical Center, Denver, CO, USA

Introduction•150,000 new lung nodules are detected annually in US, while only minor percentage of them is malignant.

•Final diagnosis requires biopsy and/or surgery.

• Screening for Lung Cancer was proven to reduce the related mortality by 20%.

• The screening program suffers from high false positivity (96% out of the 24% positive CT scans; NLST study).

•Volatile Organic Compounds (VOCs) are organic metabolites that are released by the cancer cells and/or by the surrounding environment.

•Our previous studies showed that:

•Cancer cells show specific VOCs signature.

•Cancer cells show specific VOCs signature per histology and genetic profile.

Aim of the Current Study:To detect lung cancer and its stage by exhaled breath analysis.

Results

M F C

M F C

M F C

Sorbent Tube

Glass Cover

Cell Lines

Thermal Desorption

Hot Plate

Sorbent Material

Output

N2 or Vacuum Input

GC-MS & SPME

Array of Au NP Chemiresistors

Exhaled air collection:

Delivering to a reference lab (Technion, Israel) :1.Heating to evaporate the VOC in inert environment conditions.2.Analyzing by GCMS and Artificial Olfactory System (gold Nano-Particles).

Patients

358 subjects were enrolled : Israel: 174; Denver: 111; Florida: 73.

213 lung cancer patients: among 62 early disease and 143 advanced stage.

145 patients did not have cancer

Florida Exhale Breath Analysis by E-nose

Cell line study showing different VOCs signature in NSCLC vs. SCLC and sub-histologies

(NanoMedicine 2012)

Methods

Lung cancer patients and matching High risk control patients were recruited to the study

Conclusion:Breath analysis discriminated malignant from benign conditions in a high-risk cohort based on volatile signature. Furthermore, it discriminated between early versus advanced disease. These achievements stand in consistency with the requirements of society for rapid and early diagnosis of diseases as a part of therapeutic approach and facilitating rapid treatment.

[email protected]

Discrimination between control and lung cancer

Discrimination between early and advanced disease

Israel Exhale Breath Analysis by E-nose

LC Control-2

0

2

4

6

8

Canonic

al 1

LC Control

  Sensitivity Specificity Accuracy

Control / LC 93.87% 95.65 % 94.44%

Early LC /Advanced LC 83.33% 91.66 % 89.58%

  Sensitivity Specificity AccuracyROC

AUC

Control / Early LC 81.25% 90.32% 85.11% 0.81048

Control / Advanced LC 81.25% 87.10% 82.11% 0.83065

Early LC /Advanced LC 80.26% 75% 78.75% 0.75293

Discrimination between control and early lung cancer

Early stage Control

-4

-3

-2

-1

0

1

2

Can

on

ical S

co

re

Discrimination between early and advanced disease

Advanced LC Early LC-3

-2

-1

0

1

2

3

Ca

no

nic

al S

co

re