black, stephanie jessica profato, - ambry genetics€¦ · mary helen black, stephanie gutierrez,...

1
ll(l _‘ Ambry Genetics® A Konica Minolta Company Lifetime Risk of Breast Cancer from Polygenic Risk Scores Combined with Clinical Assessment in Women Referred for Genetic Testing Mary Helen Black, Stephanie Gutierrez, Shuwei Li, Jill S. Dolinsky, Jessica Profato, Holly LaDuca Ambry Genetics, Aliso Viejo, CA Mary Helen Black [email protected] BACKGROUND Figure 1. Mean (95% CI) Lifetime Risk Estimated from Tyrer—Cuzick (TC) Table I- Patient Characteristics (n=523) Various models based on a woman’s personal and family history are and Combined PRS—TC Models, by Age at Testing . N % currently used for clinical breast cancer (BC) risk assessment. Age at testing (years) 0 In addition, a wide spectrum of genetic variation, from rare high- 35:8 1:; 33974:; penetrance genes to common polymorphisms with modest effects, 0 0 _ ' O is associated with increased BC risk. TC' mean(95 A) CI) PRS—TC' mean(95 A) CI) 40-49 146 27.9% . . . 50—59 107 20.5% Several studIes have shown that polygenlc rIsk scores (PRS) may be _ . . . . . . >—60 55 10.5% useful for BC rIsk stratification, and that combining such a score , _ . . . . . . . . Family hIstory of any cancer wrth personal and family history Information collected In the cIInIc , , 0 further improves BC risk prediction. >I IIISI degree relatIve 428 8I'8 /0 . . . . Ln >1 second degree relatIve only 94 18.0% As the majorlty of women test negatlve for hIgh-penetrance gene 00 None 1 0 2% mutations, a score based on common polymorphisms and clinical 3’0 . . ' . . . . . . <1: FamIIy hIstory of breast cancer hIstory affords an opportunity to provrde them wrth addItIonaI , , . . . 3 >1 fIrst degree relatIve 272 52.0% Information that can be used for rIsk assessment. x . ,9 >1 second degree relatIve only 194 37.1% ‘3; None 57 10.9% METHODS E Family history of ovarian cancer The sample was comprised of women referred for multigene panel 59:) >1 first degree relative 55 10.5% testing inclusive of 17 BC predisposition genes at a single clinical TI >1 second degree relative only 74 14.1% laboratory from April through October 2018. None 394 75.3% Genetic testing was performed with next-generation sequencing of all requisite gene regions and 100 SNPs previously shown to be associated with BC at genome-wide significance in genome-wide association studies of Caucasian women4. A 100-SNP population-standardized PRS was computed for each woman. ° Using previously published estimates of the per-allele odds ratio (OR) and risk allele frequency (p) for each SNP, and assuming independent and additive risks on the log OR scale, we computed the unscaled population average risk as: H = (1 - p)2+2p(1 - p)0R + 29201?2 Adjusted risk values were then calculated as: 1 OR OR2 M’ M M for the 3 genotypes defined by the number of risk alleles: 0,1 or 2, respectively. Missing genotypes were assigned a population average risk of 1.0. Adjusted risk values for each SNP were multiplied to compute the overall PRS-associated risk for each individual based on her observed genotypes. Personal and family history information was provided by ordering clinicians. Women who met the following criteria were eligible to receive a supplemental test report: '18—84 years of age at the time of testing ° no personal history of cancer ° self-reported Caucasian but without Ashkenazi Jewish ancestry ° no history of atypical hyperplasia or lobular carcinoma in situ ° no known familial mutation in a BC predisposition gene ° tested negative for pathogenic/likely pathogenic variants in any BC predisposition gene (ATM, BARDY, BL/VI, BRCAY, BRCAZ, BRIP1, CDHI, CHE/<2, FANCC, MREIIA, NBN, NF7, PALBZ, PTEN, RAD50, RAD51C, RAD51D, STK11, TP53). The supplemental report included ° clinically-assessed Tyrer-Cuzick (TC, v8.0)-estimated absolute risk5 ° population-standardized PRS relative risk ° combined PRS-TC lifetime risk to age 85 In view of guidelines for increased BC screening of women with >20% lifetime risk, and the fact that 50% lifetime risk approaches that associated with high-penetrance gene mutations, we categorized clinical and PRS risks according to these thresholds, and assessed the proportion of patients in each risk category and their associated characteristics. 30-39 (n=154) 40-49 (n=146) 50-59 (n=107) Overall (n=523) Age at Testing (years) Figure 2. Proportion of Women with Lifetime Risks Estimated from Combined PRS-TC Scores, by Initial TC Risk Category 20-50% PRS-TC Combined Risk TC Risk<20% (n=211) PRS-TC Combined Risk TC Risk>=20% (n=312) CONCLUSIONS On average, lifetime risks of BC estimated by TC model alone and by a combined PRS-TC model are similar. While a small fraction of women with clinically—assessed lifetime risk <20% may in fact have a high PRS that substantially increases the overall estimate of lifetime risk, a substantial proportion of women with clinically-assessed risk 320% may have a modest PRS that decreases the overall lifetime risk estimate. Our ongoing multi-site clinical utility study is aimed at examining whether and to what extent these groups of women would benefit from increased or reduced screening, respectively. 15 Argonaut, Aliso Viejo, CA 92656 Toll Free 866 262 7943 Fax 949 900 5501 ambrygen.com RESULTS PATIENT CHARACTERISTICS A total of 523 eligible women received the supplemental test report. The majority of women were <50 years of age at the time of testing (69.0%) and had 31 first-degree relative with breast cancer (52.0%). Approx. 24.6% of women also had 31 first-degree relative with ovarian cancer (Table 1). Among eligible women, those who opted in were slightly younger (meaniSD age 44.1i11.6 vs. 46.4i12.1 years, p<0.001), and more likely to have 31 first-degree relative with a history of breast or ovarian cancer (58.9% vs. 43.1%, p<0.001) than women who provided family history information but did not opt to receive the report. There was no appreciable difference in the type or size of multigene panel ordered for women who opted in compared to those who did not. LIFETIME BREAST CANCER RISK: TC—ONLY vs PRS—TC MeaniSD PRS was 0.99i0.71; 95th and 99th percentiles of the PRS distribution were 2.38 and 3.59, respectively. MeaniSD TC-estimated lifetime risk was 22.8%i9.9%. A total of 312 women (59.7%) had a TC-estimated lifetime risk >20%. Mean lifetime risk estimated from the combined PRS-TC model was 23.0% overall, and decreased with increasing age, from 26.6% in women <30 years to 13.4% in women >60 years (Figure 1). Average lifetime risks estimated by TC alone vs. combined PRS-TC model were similar, overall and by age group, with overlapping confidence intervals (Figure 1). Among the 211 women with TC-estimated risk <20%, 79.6% had a TC-PRS combined risk <20%, while 19.0% and 1.4% had combined risks ranging 20-50% and >50%, respectively (Figure 2). ° Of the women who’s risks increased after accounting for the PRS, risks estimated by TC alone ranged 10.0-19.9%, and the majority (75%) had TC-estimated risk >15.0%. Among the 312 women with TC-estimated risk >20%, 42.0%, 45.5% and 12.5% had combined lifetime risks <20%, 20-50%, and >50%, respectively (Figure 2). ° Of the women who’s risks decreased after accounting for the PRS, risks estimated by TC alone ranged 20.0-45.3%, and the majority (82.4%) had TC-estimated risk <30.0%. References 1) Chatterjee N, Shi J, Garcia-Closas M. Nat Rev Genet. 2016;17(7):392-406. 2) Cuzick J, Brentnall AR, Segal C, et al. J Clin Oncol. 2017;35(7):743-750. 3) Shieh Y, Hu D, Ma L, et al. Breast Cancer Res Treat. 2016;159(3):513-525. 4) Michailidou K. et al. Nature 2017; 551(7678):92-94. 5) Tyrer-Cuzick v8 http://wwwems-triaIs.org/riskeva|uator/

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Page 1: Black, Stephanie Jessica Profato, - Ambry Genetics€¦ · Mary Helen Black, Stephanie Gutierrez, Shuwei Li, Jill S. Dolinsky, Jessica Profato, Holly LaDuca Ambry Genetics, Aliso

ll(l_‘ Ambry Genetics®

A Konica Minolta Company

Lifetime Risk of Breast Cancer from Polygenic Risk Scores Combined with

Clinical Assessment in Women Referred for Genetic TestingMary Helen Black, Stephanie Gutierrez, Shuwei Li, Jill S. Dolinsky, Jessica Profato, Holly LaDuca

Ambry Genetics, Aliso Viejo, CA

Mary Helen Black [email protected]

BACKGROUND Figure 1. Mean (95% CI) Lifetime Risk Estimated from Tyrer—Cuzick (TC) Table I- Patient Characteristics (n=523)

Various models based on a woman’s personal and family history are and Combined PRS—TC Models, by Age at Testing .

N %

currently used for clinical breast cancer (BC) risk assessment. Age at testing (years)0

In addition, a wide spectrum of genetic variation, from rare high- 35:8 1:; 33974:;penetrance genes to common polymorphisms with modest effects,

0 0

_

' O

is associated with increased BC risk.TC' mean(95 A) CI) PRS—TC' mean(95 A) CI) 40-49 146 27.9%

. . .

50—59 107 20.5%Several studIes have shown that polygenlc rIsk scores (PRS) may be

_

. . . . . . >—60 55 10.5%useful for BC rIsk stratification, and that combining such a score

, _

. . . . . . . . Family hIstory of any cancerwrth personal and family history Information collected In the cIInIc

, ,

0

further improves BC risk prediction.>I IIISI degree relatIve

428 8I'8 /0

. . . .Ln >1 second degree relatIve only 94 18.0%

As the majorlty of women test negatlve for hIgh-penetrance gene 00None 1 0 2%

mutations, a score based on common polymorphisms and clinical 3’0 . .

'

. . . . . . <1: FamIIy hIstory of breast cancer

hIstory affords an opportunity to provrde them wrth addItIonaI, ,

. . . 3 >1 fIrst degree relatIve 272 52.0%Information that can be used for rIsk assessment.

x .

,9 >1 second degree relatIve only 194 37.1%

‘3; None 57 10.9%

METHODS E Family history of ovarian cancer

The sample was comprised of women referred for multigene panel 59:) >1 first degree relative 55 10.5%

testing inclusive of 17 BC predisposition genes at a single clinicalTI

>1 second degree relative only 74 14.1%

laboratory from April through October 2018. None 394 75.3%

Genetic testing was performed with next-generation sequencing of

all requisite gene regions and 100 SNPs previously shown to be

associated with BC at genome-wide significance in genome-wideassociation studies of Caucasian women4.

A 100-SNP population-standardized PRS was computed for each

woman.

° Using previously published estimates of the per-allele odds ratio

(OR) and risk allele frequency (p) for each SNP, and assuming

independent and additive risks on the log OR scale, we

computed the unscaled population average risk as:

H= (1

- p)2+2p(1 -

p)0R + 29201?2

Adjusted risk values were then calculated as:

1 OR OR2

M’ M’

M

for the 3 genotypes defined by the number of risk alleles: 0,1 or

2, respectively. Missing genotypes were assigned a population

average risk of 1.0. Adjusted risk values for each SNP were

multiplied to compute the overall PRS-associated risk for each

individual based on her observed genotypes.

Personal and family history information was provided by orderingclinicians.

Women who met the following criteria were eligible to receive a

supplemental test report:

'18—84 years of age at the time of testing°

no personal history of cancer

° self-reported Caucasian but without Ashkenazi Jewish ancestry

°no history of atypical hyperplasia or lobular carcinoma in situ

°no known familial mutation in a BC predisposition gene

° tested negative for pathogenic/likely pathogenic variants in any

BC predisposition gene (ATM, BARDY, BL/VI, BRCAY, BRCAZ,

BRIP1, CDHI, CHE/<2, FANCC, MREIIA, NBN, NF7, PALBZ, PTEN,

RAD50, RAD51C, RAD51D, STK11, TP53).

The supplemental report included

° clinically-assessed Tyrer-Cuzick (TC, v8.0)-estimated absolute

risk5

° population-standardized PRS relative risk

° combined PRS-TC lifetime risk to age 85

In view of guidelines for increased BC screening of women with

>20% lifetime risk, and the fact that 50% lifetime risk approachesthat associated with high-penetrance gene mutations, we

categorized clinical and PRS risks according to these thresholds, and

assessed the proportion of patients in each risk category and their

associated characteristics.

30-39

(n=154)

40-49

(n=146)

50-59

(n=107)

Overall

(n=523)

Age at Testing (years)

Figure 2. Proportion of Women with Lifetime Risks Estimated from

Combined PRS-TC Scores, by Initial TC Risk Category

20-50%

PRS-TC Combined Risk

TC Risk<20%

(n=211)

PRS-TC Combined Risk

TC Risk>=20%

(n=312)

CONCLUSIONS

On average, lifetime risks of BC estimated by TC model alone and by a combined PRS-TC model are similar.

While a small fraction of women with clinically—assessed lifetime risk <20% may in fact have a high PRS

that substantially increases the overall estimate of lifetime risk, a substantial proportion of women with

clinically-assessed risk 320% may have a modest PRS that decreases the overall lifetime risk estimate.

Our ongoing multi-site clinical utility study is aimed at examining whether and to what extent these groups

of women would benefit from increased or reduced screening, respectively.

15 Argonaut, Aliso Viejo, CA 92656 Toll Free 866 262 7943 Fax 949 900 5501 ambrygen.com

RESULTS

PATIENT CHARACTERISTICS

A total of 523 eligible women received the supplemental test report.

The majority of women were <50 years of age at the time of testing

(69.0%) and had 31 first-degree relative with breast cancer

(52.0%). Approx. 24.6% of women also had 31 first-degree relative

with ovarian cancer (Table 1).

Among eligible women, those who opted in were slightly younger

(meaniSD age 44.1i11.6 vs. 46.4i12.1 years, p<0.001), and more

likely to have 31 first-degree relative with a history of breast or

ovarian cancer (58.9% vs. 43.1%, p<0.001) than women who

provided family history information but did not opt to receive the

report. There was no appreciable difference in the type or size of

multigene panel ordered for women who opted in compared to

those who did not.

LIFETIME BREAST CANCER RISK: TC—ONLY vs PRS—TC

MeaniSD PRS was 0.99i0.71; 95th and 99th percentiles of the PRS

distribution were 2.38 and 3.59, respectively.

MeaniSD TC-estimated lifetime risk was 22.8%i9.9%. A total of

312 women (59.7%) had a TC-estimated lifetime risk >20%.

Mean lifetime risk estimated from the combined PRS-TC model was

23.0% overall, and decreased with increasing age, from 26.6% in

women <30 years to 13.4% in women >60 years (Figure 1).

Average lifetime risks estimated by TC alone vs. combined PRS-TC

model were similar, overall and by age group, with overlappingconfidence intervals (Figure 1).

Among the 211 women with TC-estimated risk <20%, 79.6% had a

TC-PRS combined risk <20%, while 19.0% and 1.4% had combined

risks ranging 20-50% and >50%, respectively (Figure 2).

° Of the women who’s risks increased after accounting for the

PRS, risks estimated by TC alone ranged 10.0-19.9%, and the

majority (75%) had TC-estimated risk >15.0%.

Among the 312 women with TC-estimated risk >20%, 42.0%,

45.5% and 12.5% had combined lifetime risks <20%, 20-50%, and

>50%, respectively (Figure 2).

° Of the women who’s risks decreased after accounting for the

PRS, risks estimated by TC alone ranged 20.0-45.3%, and the

majority (82.4%) had TC-estimated risk <30.0%.

References1) Chatterjee N, Shi J, Garcia-Closas M. Nat Rev Genet. 2016;17(7):392-406.

2) Cuzick J, Brentnall AR, Segal C, et al. J Clin Oncol. 2017;35(7):743-750.

3) Shieh Y, Hu D, Ma L, et al. Breast Cancer Res Treat. 2016;159(3):513-525.

4) Michailidou K. et al. Nature 2017; 551(7678):92-94.

5) Tyrer-Cuzick v8 http://wwwems-triaIs.org/riskeva|uator/