Actionable targets by tumor genomic profiling in patients ...

1
Background Cholangiocarcinoma (CCA) is a rare and aggressive biliary tract malignancy, with up to 8000 new cases annually in the US and a median survival of less than 24 months from the time of diagnosis. 1 Technologies such as next-generation sequencing (DNA and RNA) and fluorescence in situ hybridization (FISH), coupled with the more conventional immunohistochemistry, have helped to unravel the complex genomic and transcriptomic landscape of CCA. Sequencing studies have revealed a very high prevalence of oncogenic alterations in CCA, of which several are targetable. 2,3 The first targeted drug for CCA, pemigatinib, was recently approved by the FDA for the treatment of adults with previously treated, unresectable locally advanced or metastatic cholangiocarcinoma with a FGFR2 fusion or other rearrangement as detected by an FDA-approved test. 4 Other novel targeted therapies are in clinical development. However, barriers to molecular testing are still very high in CCA patients, particularly in the first-line setting, due to: – Insufficient tumor tissue collected at diagnosis – No opportunity to re-biopsy tumor – Time required for molecular testing may protract treatment decisions. Purpose Review the published literature and the cBioPortal repository to estimate the prevalence of targetable genomic alterations, including point mutations, copy number variations and gene fusions/rearrangements in patients diagnosed with CCA. Better understand the percentage of patients with CCA who could benefit from targeted therapy based on their unique tumor profile. Methods A systematic literature review was performed to define a list of actionable and potentially actionable genomic alterations in CCA, following a search process described in Figure 1: – Keyword search of major databases (PubMed, Medline) and conference archives (e.g. ASCO, ESMO, AACR, WCGIC) for the last 5 years – Keywords used included, but were not limited to, the following: cholangiocarcinoma, bile tract malignancy, bile tract cancer, BTC, fusion, rearrangement, translocation, mutation, SNV, amplification, genetic aberration/alteration, MSI-high, precision medicine, next-generation sequencing – Two scientific reviewers selected publications for full-text review. Mutations, copy number amplification/deletion, or fusions/rearrangements in a gene targeted by an FDA approved drug target were considered actionable. Genomic alterations in genes targeted by a drug in clinical trials was classified potentially actionable. cBioPortal analysis: – Analysis was performed on 28 May 2020 using cbioportal.org, v3.3.5 5,6 – Five non-overlapping ‘CCA’ datasets were included, comprising an in silico cohort of 305 patients – A list of 20 target genes was queried against this cohort – Germline mutations were excluded from the analysis. Results A systematic literature review identified 11 publications that reported genetic alterations in at least 150 patients with CCA (Figure 1). 20 genes defined as actionable (FDA-approved drug, n=13) or potentially actionable (clinical trial, n=7) were identified in the 11 selected publications of CCA patient cohorts. Genes with actionable genetic alterations with a prevalence >5% in CCA included: – Mutations and fusions in FGFR2 – Mutations in PIK3CA, ERBB2, IDH1, and IDH2 EGFR amplification. Potentially actionable mutations in BAP1, ARID1A, and KRAS are also frequently altered in CCA and have drugs in phase 1 or phase 2 clinical trials for CCA. Approximately 45% of patients are likely to have an actionable or potentially actionable alteration that may provide useful information for treatment planning. #P-154 Presented at the ESMO World Congress on Gastrointestinal Cancer, 2020 Virtual Meeting The cBioPortal database was queried for the 20 targeted genes (Figure 2): – 305 patients with CCA; median age at diagnosis 59 years (29–86 years); 49.3% male/48.7% female (2% NA); Stage IV 48.8%; 72.3% iCCA, 14.2% eCCA, 1.5% pCCA, 11.9% CCA NOS. The most prevalent alterations included FGFR2 fusions (7.8%) and IDH1 mutations (21%), as shown in Table 1. Only a small proportion of patients (0.5–1.3%) were classified as MSI-high. Mutations in ARID1A (20%), BAP (17%), and KRAS (13%) may allow patients to meet eligibility criteria for ongoing clinical trials of targeted therapies (Table 2). cBioPortal analysis indicates that 73% of patients have at least one of the selected genetic alterations, and ~45% patients have at least one ‘actionable’ alteration. Acknowledgements The authors would like to acknowledge the following: Lee Miller (Miller Medical Communications) for provision of medical writing/editing support for this poster. This work was funded by QED Therapeutics. Actionable targets by tumor genomic profiling in patients with cholangiocarcinoma Francesca Avogadri, 1 Ge Wei, 1 Carl Dambkowski, 1 Gary Li, 1 Harris S. Soifer 1 1 QED Therapeutics Inc., San Francisco, California, USA Study of origin FGFR2 ROS1 IDH1 IDH2 ERBB2 EGFR PIK3CA BRAF BRCA1 BRCA2 MET PTEN KRAS BAP1 ARID1A SMAD4 MCL1 MDM2 10%* 1.4%* 21%* 2.8%* 5%* 3%* 7%* 4%* 1.7%* 2.1%* 0.3%* 3%* 13%* 17%* 20%* 9%* 5%* 3%* Genetic Alteration Inframe Mutation (unknown significance) Missense Mutation (putative driver) Missense Mutation (unknown significance) Truncating Mutation (putative driver) Truncating Mutation (unknown significance) Fusion Amplification Deep Deletion No alterations Not profiled Study of origin Cholangiocarcinoma (MSK, Clin Cancer Res 2018) Cholangiocarcinoma (National Cancer Centre of Singapore, Nat Genet 2013) Cholangiocarcinoma (National University of Singapore, Nat Genet 2012) Cholangiocarcinoma (TCGA, Firehose Legacy) Cholangiocarcinoma (TCGA, PanCancer Atlas) Actionable (~45%) Selected alterations (~73%) No actionable alterations Actionable Potentially Actionable Inial collecon based on keyword search n=978 Assessed by full text review n=68 Publicaons with ‘aconable’ gene targets n=28 Aconable gene list BRAF, BRCA1/2, EGFR, ERBB2, FGFR1/2/3, IDH1/2, MET, PIK3CA, ROS1 n=11 Excluded aſter scienc review of tle/abstract n=910 Absence of sucient genomic data for aconable targets n=40 Excluded cohorts with <150 paents n=17 11 publicaons Paent populaon Chan-On et al. 20137 194 CCA Goeppert et al. 20198 308 CCA Golan et al. 20179 Large CCA database Graham et al. 201410 152 CCA Javle et al. 20192 3634 CCA Lim et al. 201711 261 CCA Lowery et al. 20183 195 CCA Nakamura et al. 201512 260 BTC Seeber et al. 201913 1295 CCA Simbolo et al. 201414 153 CCA Wardell et al. 201815 412 BTC/CCA Figure 1. Schema of the literature analysis *Approved for FGFR2 and FGFR3 mutaons NCCN guidelines ‘consider molecular tesng’ for targeted therapy and clinical trial opons FGFR2 fusions FGFR1/2/3 mutaons IDH1/2 mutaons ERBB2 amplificaon/mutaons PIK3CA mutaons EGFR amplificaon BRAF mutaons Pemiganib Erdanib* Enasidenib Ivosidenib Trastuzumab Lapanib Others Alpelisib Cetuximab Erlonib Others Vemurafenib Dabrafenib Others Ingranib TAS-120 Ingranib AG-120 Olaparib Niraparib Trastuzumab TDM-1, A166 Regorafenib Comprehensive genomic profiling by NGS Suspected CCA Uncharacterized liver metastasis Histologically-conrmed CCA FDA approved (any indicaon) Clin Dev (in CCA) Phase 3 Phase 2 Figure 3. Actionable gene targets observed in ≥5% of CCA Figure 2. cBioPortal analysis Table 1. Actionable genetic alterations in CCA Literature review cBioPortal Target gene Gene function Range 1 , % Prevalence, % Fusions/rearrangements FGFR2 ROS1 2 Kinase Kinase 8–14 <1 7.8 Mutations FGFR2 IDH1 3 IDH2 3 ERBB2 2 PIK3CA BRAF 2 BRCA1/BRCA2 MET 2 Kinase Oncogene Oncogene Kinase Oncogene Oncogene DNA repair Kinase 1–2 3–25 2–6 0.7–29 5–8 3–5 1–3 <1 1.6 21 2.8 1.3 7 4 4 <1 Amplifications EGFR MET 2 ERBB2 2 FGFR1/3 Kinase Kinase Kinase Kinase 5 2 3–4 4 2.1 <1 2.2 Microsatellite instability MSI-H Neoantigen production 0.5–1.3 N/A 1. Range of prevalence in CCA is based on data from individual studies. 2. Variants that are typically mutually exclusive from FGFR fusions and IDH1/2 mutations. 2 3. Variants that are typically mutually exclusive from FGFR fusions. 2 1. American Cancer Society, May 26 2020 (https://www.cancer.org/cancer/ bile-duct-cancer/about/key-statistics. html). 2. Javle et al. J Clin Oncol 2019. 3. Lowery et al. Clin Cancer Res 2018. 4. Abou-Alfa et al. Lancet Oncol 2020. 5. Cerami et al. Cancer Discov 2012. 6. Gao et al. Sci Signal 2013. 7. Chan-On et al. Nat Genet 2013. 8. Goeppert et al. Br J Cancer 2019. 9. Golan et al. Oncologist 2017. 10. Graham et al. Hum Pathol 2014. 11. Lim et al. Cancer Res Treat 2017. 12. Nakamura et al. Nat Genet 2015. 13. Seeber et al. 2019. 14. Simbolo et al. Oncotarget 2014. 15. Wardell et al. J Hepatol 2018. References Conclusions The literature review and cBioPortal analysis consistently demonstrate that CCA tumors harbor a high proportion of actionable or potentially actionable genetic alterations. Our assessment that ~45% of patients with CCA harbor an actionable genetic alteration is in agreement with other studies (35–47%), 2,3 demonstrating the potential benefit of molecular profiling of patients with advanced CCA. However, despite the high number of patients that may benefit from molecularly targeted treatment, only a minority of newly diagnosed patients currently undergo comprehensive genomic profiling. These data suggest that genomic profiling at the time of diagnosis provides timely and actionable information to assist in treatment management of patients with CCA, which may also accelerate clinical trial enrollment. Table 2. Potentially actionable gene targets in CCA Target gene Gene function Literature review prevalence range, % cBioPortal prevalence, % Development stage for CCA PTEN Tumor suppressor 2–3 3 Phase 3 (NCT03345303) BAP1 Chromatin remodeling 4–15 17 Phase 2 (NCT03207347) ARID1A Chromatin remodeling 6–21 14 Phase 1/2 (NCT03297424) KRAS Oncogene 13–28 18 Phase 1/2 (NCT03785249) SMAD4 Transcription factor 6–13 9 In development for other solid tumors MCL1 Oncogene 4 5 In development for other solid tumors MDM2 Tumor suppressor 4–5 3 In development for other solid tumors Clinical relevance: Given the totality of the evidence, actionable genetic alterations are present in at least 45% of patients with CCA. Further integration of genomic profiling into the CCA treatment plan is warranted to ensure full access to targeted therapy and clinical trials for patients.

Transcript of Actionable targets by tumor genomic profiling in patients ...

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Background■ Cholangiocarcinoma (CCA) is a rare and aggressive biliary tract malignancy,

with up to 8000 new cases annually in the US and a median survival of less than 24 months from the time of diagnosis.1

■ Technologies such as next-generation sequencing (DNA and RNA) and fluorescence in situ hybridization (FISH), coupled with the more conventional immunohistochemistry, have helped to unravel the complex genomic and transcriptomic landscape of CCA.

■ Sequencing studies have revealed a very high prevalence of oncogenic alterations in CCA, of which several are targetable.2,3

■ The first targeted drug for CCA, pemigatinib, was recently approved by the FDA for the treatment of adults with previously treated, unresectable locally advanced or metastatic cholangiocarcinoma with a FGFR2 fusion or other rearrangement as detected by an FDA-approved test.4 Other novel targeted therapies are in clinical development.

■ However, barriers to molecular testing are still very high in CCA patients, particularly in the first-line setting, due to:

– Insufficient tumor tissue collected at diagnosis – No opportunity to re-biopsy tumor – Time required for molecular testing may protract treatment decisions.

Purpose■ Review the published literature and the cBioPortal repository to estimate the

prevalence of targetable genomic alterations, including point mutations, copy number variations and gene fusions/rearrangements in patients diagnosed with CCA.

■ Better understand the percentage of patients with CCA who could benefit from targeted therapy based on their unique tumor profile.

Methods ■ A systematic literature review was performed to define a list of actionable and

potentially actionable genomic alterations in CCA, following a search process described in Figure 1:

– Keyword search of major databases (PubMed, Medline) and conference archives (e.g. ASCO, ESMO, AACR, WCGIC) for the last 5 years

– Keywords used included, but were not limited to, the following: cholangiocarcinoma, bile tract malignancy, bile tract cancer, BTC, fusion, rearrangement, translocation, mutation, SNV, amplification, genetic aberration/alteration, MSI-high, precision medicine, next-generation sequencing

– Two scientific reviewers selected publications for full-text review.■ Mutations, copy number amplification/deletion, or fusions/rearrangements in

a gene targeted by an FDA approved drug target were considered actionable. Genomic alterations in genes targeted by a drug in clinical trials was classified potentially actionable.

■ cBioPortal analysis: – Analysis was performed on 28 May 2020 using cbioportal.org, v3.3.55,6

– Five non-overlapping ‘CCA’ datasets were included, comprising an in silico cohort of 305 patients

– A list of 20 target genes was queried against this cohort – Germline mutations were excluded from the analysis.

Results■ A systematic literature review identified 11 publications that reported genetic

alterations in at least 150 patients with CCA (Figure 1).■ 20 genes defined as actionable (FDA-approved drug, n=13) or potentially

actionable (clinical trial, n=7) were identified in the 11 selected publications of CCA patient cohorts.

■ Genes with actionable genetic alterations with a prevalence >5% in CCA included: – Mutations and fusions in FGFR2 – Mutations in PIK3CA, ERBB2, IDH1, and IDH2 – EGFR amplification.■ Potentially actionable mutations in BAP1, ARID1A, and KRAS are also frequently

altered in CCA and have drugs in phase 1 or phase 2 clinical trials for CCA.■ Approximately 45% of patients are likely to have an actionable or potentially

actionable alteration that may provide useful information for treatment planning.

#P-154

Presented at the ESMO World Congress on Gastrointestinal Cancer, 2020 Virtual Meeting

■ The cBioPortal database was queried for the 20 targeted genes (Figure 2): – 305 patients with CCA; median age at diagnosis 59 years (29–86 years);

49.3% male/48.7% female (2% NA); Stage IV 48.8%; 72.3% iCCA, 14.2% eCCA, 1.5% pCCA, 11.9% CCA NOS.

■ The most prevalent alterations included FGFR2 fusions (7.8%) and IDH1 mutations (21%), as shown in Table 1. Only a small proportion of patients (0.5–1.3%) were classified as MSI-high.

■ Mutations in ARID1A (20%), BAP (17%), and KRAS (13%) may allow patients to meet eligibility criteria for ongoing clinical trials of targeted therapies (Table 2).

■ cBioPortal analysis indicates that 73% of patients have at least one of the selected genetic alterations, and ~45% patients have at least one ‘actionable’ alteration.

AcknowledgementsThe authors would like to acknowledge the following:Lee Miller (Miller Medical Communications) for provision of medical writing/editing support for this poster. This work was funded by QED Therapeutics.

Actionable targets by tumor genomic profiling in patients with cholangiocarcinomaFrancesca Avogadri,1 Ge Wei,1 Carl Dambkowski,1 Gary Li,1 Harris S. Soifer1

1QED Therapeutics Inc., San Francisco, California, USA

Study of origin

FGFR2

ROS1

IDH1

IDH2

ERBB2

EGFR

PIK3CA

BRAF

BRCA1

BRCA2

MET

PTEN

KRAS

BAP1

ARID1A

SMAD4

MCL1

MDM2

10%*

1.4%*

21%*

2.8%*

5%*

3%*

7%*

4%*

1.7%*

2.1%*

0.3%*

3%*

13%*

17%*

20%*

9%*

5%*

3%*

Genetic Alteration Inframe Mutation (unknown significance) Missense Mutation (putative driver) Missense Mutation (unknown significance) Truncating Mutation (putative driver) Truncating Mutation (unknown significance) Fusion

Amplification Deep Deletion No alterations Not profiled

Study of origin Cholangiocarcinoma (MSK, Clin Cancer Res 2018) Cholangiocarcinoma (National Cancer Centre of Singapore, Nat Genet 2013) Cholangiocarcinoma (National University of Singapore, Nat Genet 2012)

Cholangiocarcinoma (TCGA, Firehose Legacy) Cholangiocarcinoma (TCGA, PanCancer Atlas)

Actionable (~45%)

Selected alterations (~73%) No actionable alterations

Act

iona

ble

Pote

ntia

lly A

ctio

nabl

e

Initial collection based on keyword search n=978

Assessed by full text review n=68

Publications with ‘actionable’ gene targetsn=28

Actionable gene listBRAF, BRCA1/2, EGFR, ERBB2, FGFR1/2/3,

IDH1/2, MET, PIK3CA, ROS1n=11

Excluded after scientific review of title/abstract

n=910

Absence of sufficient genomic data for actionable targets

n=40

Excluded cohorts with <150 patientsn=17

11 publications Patient population

Chan-On et al. 20137 194 CCA

Goeppert et al. 20198 308 CCA

Golan et al. 20179 Large CCA database

Graham et al. 201410 152 CCA

Javle et al. 20192 3634 CCA

Lim et al. 201711 261 CCA

Lowery et al. 20183 195 CCA

Nakamura et al. 201512 260 BTC

Seeber et al. 201913 1295 CCA

Simbolo et al. 201414 153 CCA

Wardell et al. 201815 412 BTC/CCA

Figure 1. Schema of the literature analysis

*Approved for FGFR2 and FGFR3 mutations

NCCN guidelines‘consider molecular testing’ for targeted

therapy and clinical trial options

FGFR2fusions

FGFR1/2/3mutations

IDH1/2 mutations

ERBB2amplification/mutations

PIK3CA mutations

EGFRamplification

BRAFmutations

Pemigatinib Erdafinitib* EnasidenibIvosidenib

TrastuzumabLapatinibOthers

Alpelisib CetuximabErlotinibOthers

VemurafenibDabrafenibOthers

InfigratinibTAS-120

Infigratinib AG-120

OlaparibNiraparib

TrastuzumabTDM-1, A166

Regorafenib

Comprehensive genomic profiling by NGS

Suspected CCA Uncharacterized liver metastasis

Histologically-confirmed CCA

FDA approved

(any indication)

Clin Dev (in CCA)

Phase 3

Phase 2

Figure 3. Actionable gene targets observed in ≥5% of CCA

Figure 2. cBioPortal analysis

Table 1. Actionable genetic alterations in CCA

Literature review cBioPortal

Target gene Gene function Range1, % Prevalence, %

Fusions/rearrangements

FGFR2ROS12

KinaseKinase

8–14<1

7.8–

Mutations

FGFR2IDH13

IDH23

ERBB22

PIK3CABRAF2

BRCA1/BRCA2MET2

KinaseOncogeneOncogene

KinaseOncogeneOncogeneDNA repair

Kinase

1–23–252–6

0.7–295–83–51–3<1

1.6212.81.3744

<1

Amplifications

EGFRMET2

ERBB22

FGFR1/3

KinaseKinaseKinaseKinase

52

3–44

2.1<12.2–

Microsatellite instability

MSI-H Neoantigen production 0.5–1.3 N/A

1. Range of prevalence in CCA is based on data from individual studies.2. Variants that are typically mutually exclusive from FGFR fusions and IDH1/2 mutations.2

3. Variants that are typically mutually exclusive from FGFR fusions.2

1. American Cancer Society, May 26 2020 (https://www.cancer.org/cancer/bile-duct-cancer/about/key-statistics.html).

2. Javle et al. J Clin Oncol 2019.3. Lowery et al. Clin Cancer Res 2018.4. Abou-Alfa et al. Lancet Oncol 2020.5. Cerami et al. Cancer Discov 2012.6. Gao et al. Sci Signal 2013.

7. Chan-On et al. Nat Genet 2013.8. Goeppert et al. Br J Cancer 2019.9. Golan et al. Oncologist 2017.10. Graham et al. Hum Pathol 2014.11. Lim et al. Cancer Res Treat 2017.12. Nakamura et al. Nat Genet 2015.13. Seeber et al. 2019.14. Simbolo et al. Oncotarget 2014.15. Wardell et al. J Hepatol 2018.

References

Conclusions■ The literature review and cBioPortal analysis consistently demonstrate that CCA

tumors harbor a high proportion of actionable or potentially actionable genetic alterations.

■ Our assessment that ~45% of patients with CCA harbor an actionable genetic alteration is in agreement with other studies (35–47%),2,3 demonstrating the potential benefit of molecular profiling of patients with advanced CCA.

■ However, despite the high number of patients that may benefit from molecularly targeted treatment, only a minority of newly diagnosed patients currently undergo comprehensive genomic profiling.

■ These data suggest that genomic profiling at the time of diagnosis provides timely and actionable information to assist in treatment management of patients with CCA, which may also accelerate clinical trial enrollment.

Table 2. Potentially actionable gene targets in CCA

Target gene Gene function

Literature review prevalencerange, %

cBioPortal prevalence, %

Developmentstage for CCA

PTEN Tumorsuppressor 2–3 3 Phase 3

(NCT03345303)

BAP1 Chromatin remodeling 4–15 17 Phase 2

(NCT03207347)

ARID1A Chromatin remodeling 6–21 14 Phase 1/2

(NCT03297424)

KRAS Oncogene 13–28 18 Phase 1/2 (NCT03785249)

SMAD4 Transcriptionfactor 6–13 9 In development for

other solid tumors

MCL1 Oncogene 4 5 In development for other solid tumors

MDM2 Tumorsuppressor 4–5 3 In development for

other solid tumors

Clinical relevance:Given the totality of the evidence, actionable genetic alterations are present in at least 45% of patients with CCA. Further integration of genomic profiling into the CCA treatment plan is warranted to ensure full access to targeted therapy and clinical trials for patients.