Revolution in Early Cancer Detection Research

A Revolution in Early
Cancer Detection
Early Detection Research
Network
March 24, 2021
THE CONTENT OF THIS PRESENTATION IS THE CONFIDENTIAL & PROPRIETARY INFORMATION OF
GRAIL.
INFORMATION DISCLOSED OR DISCUSSED IN THIS PRESENTATION IS SUBJECT TO OBLIGATIONS OF
CONFIDENTIALITY AND IS NOT TO BE DISCUSSED, SHARED, OR FORWARDED.
THE TECHNOLOGY AND ANY PRODUCT(S) DISCUSSED IN THIS PRESENTATION ARE INVESTIGATIONAL
AND THEIR SAFETY AND EFFECTIVENESS HAVE NOT YET BEEN ESTABLISHED. THE DATA PRESENTED
ARE PRELIMINARY.
Disclaimer and Disclosure
Late stage cancer detection is deadly
Low 5-year cancer-specific 
mortality
when diagnosed 
early
High 5-year cancer-specific 
mortality
when diagnosed 
late
79%
11%
Localized
Distant Metastases
71%
 of cancer-related deaths today are in cancers with no recommended screening
Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Incidence - SEER 18 Regs Research Data, Nov 2018 Sub. Includes persons aged 50-79 diagnosed 2006-2015  “Early/Localized” includes
invasive localized tumors that have not spread beyond organ of origin, “Late/Metastasized” includes invasive cancers that have metastasized beyond the organ of origin to other parts of the body. Noone AM, Howlader N, Krapcho M, et al. (eds).
SEER Cancer Statistics Review, 1975-2015, National Cancer Institute, Bethesda, MD, 
http://seer.cancer.gov/csr/1975_2015/
, based on November 2017 SEER data submission, posted to the SEER website April 2018.
Current single cancer screening tests
CT, computed tomography; FIT, fecal immunochemical test; HPV, human papillomavirus; USPSTF, United States Preventive Services Task Force.
1
USPSTF. 2016. Lehman, et al. 
Radiology. 
2017;283(1):49-58. 
2
Kim, et al. 
JAMA. 2018;320(7):706-714
. 
3
USPSTF. 2017. United States Food and Drug Administration Premarket Approval P130017. Accessed March 26, 2019. Cologuard Test. Available from
www.cologuardtest.com/hcp/crc-screening-redefined. Accessed March 26, 2019. 
4
Fedewa, Stacey A., et al. "State Variation in Low-Dose Computed Tomography Scanning for Lung Cancer Screening in the United States." 
JNCI: Journal of the National Cancer Institute
(2020)
.
 
5
Pinsky. 
J Med Screen
. 2012;19(3):154-156. Recommendation for lung screening limited to high-risk smoking population, which accounts for less than 33% of all lung cancers 
6
 Compliance from BRFSS Prevalence & Trends Data. 2015. [accessed Aug 12,
2020]. URL: 
https://www.cdc.gov/brfss/brfssprevalence/
 except LDCT from Zahnd, et al. 
Am J Prev Med 
2019;57(2):250−255. 
7
 Wolf et al. CA Cancer J Clin 2010;60:70–98
*General or average-risk population.
1
Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database:  Incidence - SEER 18 Regs Research Data + Hurricane Katrina Impacted Louisiana Cases, November 2018 Submission (2000-2016)
<Katrina/Rita Population Adjustment> - Linked To County Attributes - Total U.S., 1969-2017 Counties,  National Cancer Institute, Division of Cancer Control and Population Sciences (DCCPS), Surveillance Research Program, released April
2019, based on the November 2018 submission. Individuals aged 50-79 years for 2016 only.
The incidence rate of non-colorectal cancer is 10-fold higher than
that of colorectal cancer in the screening population
1
Crude Incidence Rate
Per 100,000 (50-79 years)
 
At GRAIL, 
we
 
see
 
a better way
Instead of only screening for individual cancers, we
need to
 
Screen Individuals For Cancer
CCGA, Circulating Cell-free Genome Atlas study (NCT02889978); 
cfDNA, cell-free DNA.
Figure from Liu MC, et al. 
Ann Oncol
. 2020;31(6):745-759. DOI: 10.1016/j.annonc.2020.02.011.
Mutations 
(single base changes)
Chromosome alterations 
(copy number)
DNA methylation patterns 
(chemical modification)
GRAIL technology evaluated
hallmarks of cancer in the blood
Tracking down cancer in blood
Proprietary methylation-based technology
selected for development based on results from
first sub-study of CCGA
Tumor
tissue
Plasma
cfDNA
Tumors shed nucleic acids into blood and other body fluids, carrying cancer-specific information
Methylation outperformed other approaches in identifying and localizing signal
 
1)
Data from CCGA1 and CCGA2.
Targeted methylation sequencing LOD ≥10x more sensitive
Limit of Detection
Combining other approaches 
did not 
increase
methylation-only test performance
CCGA1
CCGA2
COMPLEMENT 
not replace    
  
recommended
single cancer
screening tests
OPTIMIZE
overall cancer
detection
DETECT
most 
cancers
Galleri
 Multi-Cancer Early Detection Test Is Designed
To:
MINIMIZE
harms
Galleri
TM
: Our investigational multi-cancer early detection test
>50
Cancer detected
43%
Positive predictive value (modeled)
0.7%
False positive rate
67%
Sensitivity stages I-III for prespecified cancer types
representing ⅔ of cancer mortality in US
44%
Sensitivity stages I-III for all cancer
93%
Localization accuracy
1
1 
Based on tissue of origin class assigned in 96% of cases where cancer was detected.
CONFIDENTIAL & PROPRIETARY
Data suggests Galleri could avoid overdiagnosis of indolent cancers
Stage I
Stage II
Stage III
Stage IV
SEER adjusted for detected
population
SEER adjusted for not
detected population
Not detected
Detected
CCGA2, Circulating Cell-free Genome Atlas
(NCT02889978) sub-study 2; 
SEER, Surveillance,
Epidemiology, and End Results.
1
SEER population adjusted for: age, clinical stage,
and cancer type. Data on file.
Kaplan-Meier curves are adjusted for age and cancer type
 
Modeling the Population
Impact of the GRAIL Test
undefined
13
Galleri expected to increase total cancer detection ~ 3x
when added to recommended single cancer screenings
1
Liu MC, et al. 
Ann Oncol
. 2020;31(6):745-759. DOI: 10.1016/j.annonc.2020.02.011.
2
Sensitivity adjusted based on Surveillance, Epidemiology, and End Results (SEER) stage distribution. 
3
Assumes 99.3% specificity. 
4
SEER Program
(www.seer.cancer.gov) SEER*Stat Database:  Incidence - SEER 18 Regs Research Data + Hurricane Katrina Impacted Louisiana Cases, November 2018 Submission (2000-2016) <Katrina/Rita Population Adjustment> - Linked To County Attributes -
Total US  1969-2017 Counties,  National Cancer Institute, Division of Cancer Control and Population Sciences (DCCPS), Surveillance Research Program, released April 2019, based on the November 2018 submission. Individuals aged 50-79 years for
2016 only.
% detected
of 1.3M
annual US
cancers
ages 50-79
undefined
1 
Based on SEER incidence of population ≥50 years. Data on file.
Assumes nationally representative adherence to USPSTF recommended screening (breast, colorectal, lung, prostate and cervical
cancer) and 100% screening with GRAIL test in the USPSTF screened group.
*These costs include downstream workup costs after initial screening test
$25B spent annually in US on diagnostic
workup services* for single cancer screenings 
Single cancer screening alone estimated:
~$89,000 in diagnostic work-up services* per
cancer diagnosed
Galleri could contribute to fractional increase
in false positives
Galleri + single cancer screening estimated:
~$32,000 in diagnostic work-up services* per
cancer diagnosed
8.7M
0.74M
0
2
1
3
 4
 5
 6
 7
 8
 9
10
206K
447K
0
100
200
300
400
500
600
700
800
900
1,000
Galleri
Single cancer screening
329K
 cancer
types which
lack screening
guidelines
Galleri has the potential to identify more cancers more efficiently
Modeled diagnostic workup cost* per cancer diagnosed could be reduced by 65% when
combined with single cancer screening
 
Number of diagnoses per 100k
Galleri has the potential to save lives
Modeling the addition of Galleri to
standard US screening
Galleri detected majority
of cancers in early stages
1
Adding Galleri to 5 US recommended screenings
could potentially avert 100K deaths annually
Expected p
roportion of 5-year deaths
averted in detected cancers
Data on file.
1
Liu MC 
et al, Ann Oncol. 
2020
;31(6):745-759
. DOI:10.1016/j.annonc.2020.02.011
 
Thank you
Appendix
Formed in January
2016 to take on one
of the world’s biggest
challenges - cancer
GRAIL, Inc.
Headquartered in Silicon Valley at the heart of the
intersection of the life sciences and technology industries
A world-class team of leaders, scientists, clinicians,
engineers, and other experts
 
Background on the Clinical
Value of Multi-Cancer Early
Detection
 
Background on GRAIL’s
Approach to the Genome
Clinical development program
Test development, validation, and implementation in population-scale studies
CCGA
 (n=15,254)
NCT02889978
PATHFINDER
 (n≈6,600)
NCT04241796
Assess clinical implementation and
perceptions of MCED test
Expected completion: December 2021
Develop and validate a cell-free
DNA-based MCED test
Expected completion: March 2024
SUMMIT
 (n≈25,000)
NCT03934866
Clinical validation in individuals at
high risk of lung cancer
Expected completion: August 2030
STRIVE
 (n=99,308)
NCT03085888
Clinical validation in women
undergoing mammography
screening
Expected completion: May 2025
>145,000
participants
CCGA, Circulating Cell-free Genome Atlas; MCED, multi-cancer early detection.
*
Anus, bladder, colon/rectum, esophagus, head and neck, liver/bile-duct, lung, lymphoma, ovary, pancreas, plasma cell neoplasm, stomach.
Plot excludes unstaged cancers.
Liu MC, et al. 
Ann Oncol
. 2020;31(6):745-759. DOI: 10.1016/j.annonc.2020.02.011.
76.4% (71.6-80.7%) sensitivity in pre-specified
*
 cancers (validation set)
54.9% (51.0-58.8%) overall sensitivity in >50 cancers (validation set)
Single fixed false positive rate (0.7%) across all cancers
Circulating Cell-free Genome Atlas (CCGA) sub-study 2
Test sensitivity and specificity
CCGA
NCT02889978
Liu MC, et al. 
Ann Oncol.
 2020;31(6):745-759. DOI: 10.1016/j.annonc.2020.02.011.
Strong detection at early stages (I-III) of pre-specified cancers
CCGA
NCT02889978
40
%
75
%
84
%
71
%
52
%
77
%
66
%
62
%
86
%
100
%
7
3
%
8
3
%
Sensitivity
Anus
 (
4
)
Bladder
 (
4
)
Esophagus (
31
)
Head and Neck
 (
13
)
Liver/Bile Duct 
(
7
)
Lung
 (
69
)
Lymphoma
 (
31
)
Ovary
 (
14
)
Pancreas
 (
22
)
Plasma Cell Neoplasm
 (
12
)
Stomach
 (
5
)
Col
on/Rectum 
(
32
)
0%
25%
50%
75%
100%
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The presentation discusses the importance of early cancer detection and the high mortality rates associated with late-stage diagnoses. It highlights the current single cancer screening tests, their compliance rates, and their effectiveness in detecting various types of cancer. The data presented underscores the critical need for improved screening methods to save lives.

  • Cancer detection
  • Early detection
  • Screening tests
  • Mortality rates
  • Research

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  1. A Revolution in Early Cancer Detection Early Detection Research Network March 24, 2021 CONFIDENTIAL & PROPRIETARY

  2. Disclaimer and Disclosure THE CONTENT OF THIS PRESENTATION IS THE CONFIDENTIAL & PROPRIETARY INFORMATION OF GRAIL. INFORMATION DISCLOSED OR DISCUSSED IN THIS PRESENTATION IS SUBJECT TO OBLIGATIONS OF CONFIDENTIALITY AND IS NOT TO BE DISCUSSED, SHARED, OR FORWARDED. THE TECHNOLOGY AND ANY PRODUCT(S) DISCUSSED IN THIS PRESENTATION ARE INVESTIGATIONAL AND THEIR SAFETY AND EFFECTIVENESS HAVE NOT YET BEEN ESTABLISHED. THE DATA PRESENTED ARE PRELIMINARY. CONFIDENTIAL & PROPRIETARY 2

  3. Late stage cancer detection is deadly Low 5-year cancer-specific mortality when diagnosed early High 5-year cancer-specific mortality when diagnosed late 11% 11% 79% 79% Distant Metastases Localized 71% of cancer of cancer- -related deaths today are in cancers with no recommended screening related deaths today are in cancers with no recommended screening Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Incidence - SEER 18 Regs Research Data, Nov 2018 Sub. Includes persons aged 50-79 diagnosed 2006-2015 Early/Localized includes invasive localized tumors that have not spread beyond organ of origin, Late/Metastasized includes invasive cancers that have metastasized beyond the organ of origin to other parts of the body. Noone AM, Howlader N, Krapcho M, et al. (eds). SEER Cancer Statistics Review, 1975-2015, National Cancer Institute, Bethesda, MD, http://seer.cancer.gov/csr/1975_2015/, based on November 2017 SEER data submission, posted to the SEER website April 2018. 3 CONFIDENTIAL & PROPRIETARY

  4. Current single cancer screening tests Compliance With Recommended Screening (%)6 USPSTF Positive Predictive Value (%) Cancer Prevalence (%) Recommended Screening Sensitivity (%) Specificity (%) Biennial mammography, women ages 55 79 Breast1 0.6 87 89 4.4 78.3 Triennial cytology or quinquennial cytology/HPV test, women ages 21 65 Cervical2 <0.1 95 85.5 <1% 80 Decennial Colonoscopy Reference Reference Reference Triennial Stool-based screening (Cologuard) Colorectal3 0.65 92.3 86.6 3.7 69.7 Annual Stool-based screening (FIT) 73.8 94.9 8.7 Annual low-dose CT for high-risk persons ages 55 805 Lung4 1.1 (high risk) 85 87 6.9 5 CT, computed tomography; FIT, fecal immunochemical test; HPV, human papillomavirus; USPSTF, United States Preventive Services Task Force. 1USPSTF. 2016. Lehman, et al. Radiology. 2017;283(1):49-58. 2Kim, et al. JAMA. 2018;320(7):706-714. 3USPSTF. 2017. United States Food and Drug Administration Premarket Approval P130017. Accessed March 26, 2019. Cologuard Test. Available from www.cologuardtest.com/hcp/crc-screening-redefined. Accessed March 26, 2019. 4Fedewa, Stacey A., et al. "State Variation in Low-Dose Computed Tomography Scanning for Lung Cancer Screening in the United States." JNCI: Journal of the National Cancer Institute (2020).5Pinsky. J Med Screen. 2012;19(3):154-156. Recommendation for lung screening limited to high-risk smoking population, which accounts for less than 33% of all lung cancers 6Compliance from BRFSS Prevalence & Trends Data. 2015. [accessed Aug 12, 2020]. URL: https://www.cdc.gov/brfss/brfssprevalence/ except LDCT from Zahnd, et al. Am J Prev Med 2019;57(2):250 255. 7Wolf et al. CA Cancer J Clin 2010;60:70 98 CONFIDENTIAL & PROPRIETARY 4

  5. The incidence rate of non-colorectal cancer is 10-fold higher than that of colorectal cancer in the screening population1 Per 100,000 (50-79 years) Crude Incidence Rate Cancer targeted via conventional screening Cancers not targeted by screening *General or average-risk population. 1Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Incidence - SEER 18 Regs Research Data + Hurricane Katrina Impacted Louisiana Cases, November 2018 Submission (2000-2016) <Katrina/Rita Population Adjustment> - Linked To County Attributes - Total U.S., 1969-2017 Counties, National Cancer Institute, Division of Cancer Control and Population Sciences (DCCPS), Surveillance Research Program, released April 2019, based on the November 2018 submission. Individuals aged 50-79 years for 2016 only. CONFIDENTIAL & PROPRIETARY 5

  6. At GRAIL, we see a better way Instead of only screening for individual cancers, we need to Screen Individuals For Cancer CONFIDENTIAL & PROPRIETARY 6

  7. Tracking down cancer in blood Tumors shed nucleic acids into blood and other body fluids, carrying cancer-specific information GRAIL technology evaluated hallmarks of cancer in the blood Mutations (single base changes) Tumor tissue Chromosome alterations (copy number) Plasma cfDNA DNA methylation patterns (chemical modification) Proprietary methylation-based technology selected for development based on results from first sub-study of CCGA CCGA, Circulating Cell-free Genome Atlas study (NCT02889978); cfDNA, cell-free DNA. Figure from Liu MC, et al. Ann Oncol. 2020;31(6):745-759. DOI: 10.1016/j.annonc.2020.02.011. CONFIDENTIAL & PROPRIETARY 7

  8. Methylation outperformed other approaches in identifying and localizing signal Targeted methylation sequencing LOD 10x more sensitive Feature Assay1 Targeted >>30x depth (1M CpGs) CCGA2 Methylation Sequencing Whole Genome Methylation Sequencing 30x WGBS (30M CpGs) CCGA1 Small Variants + WBC noise removal 507 genes (2Mb) 3,000x depth Copy Number 30x WGS Fragment 30x WGS Combining other approaches did not increase methylation-only test performance Limit of Detection 1) Data from CCGA1 and CCGA2. 8 CONFIDENTIAL & PROPRIETARY

  9. Galleri Multi-Cancer Early Detection Test Is Designed To: DETECT most cancers COMPLEMENT not replace recommended single cancer screening tests OPTIMIZE overall cancer detection MINIMIZE harms CONFIDENTIAL & PROPRIETARY 9

  10. GalleriTM: Our investigational multi-cancer early detection test >50 Cancer detected 43% Positive predictive value (modeled) 0.7% False positive rate Sensitivity stages I-III for prespecified cancer types representing of cancer mortality in US 67% 44% Sensitivity stages I-III for all cancer 93% Localization accuracy1 1 Based on tissue of origin class assigned in 96% of cases where cancer was detected. 10 CONFIDENTIAL & PROPRIETARY

  11. Data suggests Galleri could avoid overdiagnosis of indolent cancers Kaplan-Meier curves are adjusted for age and cancer type Stage II Stage I Not detected Detected SEER adjusted for not detected population Stage III Stage IV SEER adjusted for detected population CCGA2, Circulating Cell-free Genome Atlas (NCT02889978) sub-study 2; SEER, Surveillance, Epidemiology, and End Results. 1SEER population adjusted for: age, clinical stage, and cancer type. Data on file. CONFIDENTIAL & PROPRIETARY 11 CONFIDENTIAL & PROPRIETARY

  12. Modeling the Population Impact of the GRAIL Test CONFIDENTIAL & PROPRIETARY 12

  13. Galleri expected to increase total cancer detection ~ 3x when added to recommended single cancer screenings % detected of 1.3M annual US cancers ages 50-79 PPV 1.2% 4.4% 36% 43% Sensitivity 88% 87% 67% 44% 1Liu MC, et al. Ann Oncol. 2020;31(6):745-759. DOI: 10.1016/j.annonc.2020.02.011.2Sensitivity adjusted based on Surveillance, Epidemiology, and End Results (SEER) stage distribution. 3Assumes 99.3% specificity. 4SEER Program (www.seer.cancer.gov) SEER*Stat Database: Incidence - SEER 18 Regs Research Data + Hurricane Katrina Impacted Louisiana Cases, November 2018 Submission (2000-2016) <Katrina/Rita Population Adjustment> - Linked To County Attributes - Total US 1969-2017 Counties, National Cancer Institute, Division of Cancer Control and Population Sciences (DCCPS), Surveillance Research Program, released April 2019, based on the November 2018 submission. Individuals aged 50-79 years for 2016 only. 13 13 CONFIDENTIAL & PROPRIETARY

  14. Galleri has the potential to identify more cancers more efficiently Modeled diagnostic workup cost* per cancer diagnosed could be reduced by 65% when combined with single cancer screening $25B spent annually in US on diagnostic workup services* for single cancer screenings False positives (in millions) True positives (in 000 s) Galleri Single cancer screening 1,000 10 Single cancer screening alone estimated: ~$89,000 in diagnostic work-up services* per cancer diagnosed 9 0.74M 900 800 8 700 7 329K cancer types which lack screening guidelines 600 6 Galleri could contribute to fractional increase in false positives 500 5 447K 8.7M 400 4 300 3 Galleri + single cancer screening estimated: ~$32,000 in diagnostic work-up services* per cancer diagnosed 200 2 206K 100 1 0 0 1 Based on SEER incidence of population 50 years. Data on file. Assumes nationally representative adherence to USPSTF recommended screening (breast, colorectal, lung, prostate and cervical cancer) and 100% screening with GRAIL test in the USPSTF screened group. *These costs include downstream workup costs after initial screening test 14 CONFIDENTIAL & PROPRIETARY

  15. Galleri has the potential to save lives Galleri detected majority of cancers in early stages1 Adding Galleri to 5 US recommended screenings could potentially avert 100K deaths annually Expected proportion of 5-year deaths averted in detected cancers Number of diagnoses per 100k 39% 39% Averted Deaths Modeling the addition of Galleri to Modeling the addition of Galleri to standard US screening standard US screening 1Liu MC et al, Ann Oncol. 2020;31(6):745-759. DOI:10.1016/j.annonc.2020.02.011 15 CONFIDENTIAL & PROPRIETARY Data on file.

  16. Thank you CONFIDENTIAL & PROPRIETARY 16

  17. Appendix CONFIDENTIAL & PROPRIETARY 17

  18. GRAIL, Inc. Formed in January 2016 to take on one of the world s biggest challenges - cancer Headquartered in Silicon Valley at the heart of the intersection of the life sciences and technology industries A world-class team of leaders, scientists, clinicians, engineers, and other experts CONFIDENTIAL & PROPRIETARY 18

  19. Background on the Clinical Value of Multi-Cancer Early Detection CONFIDENTIAL & PROPRIETARY 19

  20. Background on GRAILs Approach to the Genome CONFIDENTIAL & PROPRIETARY 20

  21. Clinical development program Test development, validation, and implementation in population-scale studies CCGA (n=15,254) NCT02889978 Develop and validate a cell-free DNA-based MCED test 1 STRIVE (n=99,308) NCT03085888 Clinical validation in women undergoing mammography screening 2 Expected completion: March 2024 Expected completion: May 2025 >145,000 participants PATHFINDER (n 6,600) NCT04241796 Assess clinical implementation and perceptions of MCED test 4 SUMMIT (n 25,000) NCT03934866 Clinical validation in individuals at high risk of lung cancer 3 Expected completion: December 2021 Expected completion: August 2030 CCGA, Circulating Cell-free Genome Atlas; MCED, multi-cancer early detection. CONFIDENTIAL & PROPRIETARY 21

  22. NCT02889978 Circulating Cell-free Genome Atlas (CCGA) sub-study 2 Test sensitivity and specificity CCGA 76.4% (71.6-80.7%) sensitivity in pre-specified*cancers (validation set) 54.9% (51.0-58.8%) overall sensitivity in >50 cancers (validation set) Single fixed false positive rate (0.7%) across all cancers All Cancers (>50) Pre-Specified Cancers* 100% 75% Sensitivity 50% 25% Training Set Validation Set 0% I (143 | 62) II (142 | 62) III (241 | 102) IV (302 | 130) I (421 | 185) II (389 | 166) III (313 | 134) IV (363 | 148) Clinical Stage Clinical Stage *Anus, bladder, colon/rectum, esophagus, head and neck, liver/bile-duct, lung, lymphoma, ovary, pancreas, plasma cell neoplasm, stomach. Plot excludes unstaged cancers. Liu MC, et al. Ann Oncol. 2020;31(6):745-759. DOI: 10.1016/j.annonc.2020.02.011. CONFIDENTIAL & PROPRIETARY 23

  23. NCT02889978 Strong detection at early stages (I-III) of pre-specified cancers CCGA Sensitivity Anus (4) 75% Bladder (4) 100% Colon/Rectum (32) 66% Esophagus (31) 77% Head and Neck (13) 62% Liver/Bile Duct (7) 86% Lung (69) 52% Lymphoma (31) 84% Ovary (14) 71% Pancreas (22) 73% Plasma Cell Neoplasm (12) 83% Stomach (5) 40% 0% 25% 50% 75% 100% Liu MC, et al. Ann Oncol. 2020;31(6):745-759. DOI: 10.1016/j.annonc.2020.02.011. CONFIDENTIAL & PROPRIETARY 24

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