Gene mutations of SWI/SNF complex and molecular profile in colorectal cancer.

Authors

null

Ryuma Tokunaga

Division of Medical Oncology, USC Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA

Ryuma Tokunaga , Joanne Xiu , Richard M. Goldberg , Philip Agop Philip , Andreas Seeber , Francesca Battaglin , Hiroyuki Arai , Jae Ho Lo , Alberto Puccini , Madiha Naseem , Martin D. Berger , Shivani Soni , Wu Zhang , Wangjuh Sting Chen , Jimmy J. Hwang , Anthony Frank Shields , John Marshall , Hideo Baba , W. Michael Korn , Heinz-Josef Lenz

Organizations

Division of Medical Oncology, USC Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA, Caris Life Sciences, Phoenix, AZ, West Virginia University Cancer Institute, Morgantown, WV, Karmanos Cancer Institute, Detroit, MI, Department of Internal Medicine V (Hematology and Oncology), Innsbruck, Austria, Chiba Cancer Center, Chibashi, Japan, USC Keck School of Medicine, Los Angeles, CA, Division of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, Levine Cancer Institute, Carolinas Health Care System, Charlotte, NC, Karmanos Cancer Institute, Wayne State University, Detroit, MI, Georgetown University, Washington, DC, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan, University of Southern California, Los Angeles, CA

Research Funding

U.S. National Institutes of Health
The Uehara Memorial Foundation, the National Cancer Institute (grant number P30CA014089), Dhont Family Foundation, San Pedro Peninsula Cancer Guild, and Daniel Butler Research Fund.

Background: The SWI/SNF complex includes proteins produced by 29 genes that regulate chromatin structure remodeling through effects upon transcription, replication, and repair. Understanding how SWI/SNF gene mutations interact to affect cancer progression could lead to new treatment strategies. Methods: We analyzed 7,370 colorectal cancer (CRC) samples with immunohistochemical stains (IHC) and Next-Generation Sequencing (NGS) using a 592-gene panel to examine the association between gene mutations of the SWI/SNF complex (ARID1A, ARID2, PBRM1, SMARCA4, SMARCB1, SMARCE1, BCL11A, BCL11B, BCL7A, SS18, and SS18L1) and molecular features. Results: The overall mutation rate of the SWI/SNF complex genes was 11.3% (ARID1A: 7.7%, ARID2: 1.7%, SMARCA4: 1.3%, PBRM1: 1.2%, BCL11A: 1.0%, SMARCB1: 0.5%, BCL11B: 0.5%, SMARCE1: 0.3%, SS18: 0.3%, BCL7A: 0.1%, SS18L1: 0.1%). When compared to tumors with SWI/SNF wild-type genes, those tumors with SWI/SNF gene mutations showed significantly higher rates of microsatellite instability (MSI)-high (40.9% vs 2.4%, P< 0.001), tumor mutational burden (TMB)-high (>= 10mut/MB) (56.8% vs 21.6%, P< 0.001) and PD-L1 positivity (17.9% vs 5.5%, P< 0.001). Tumors with each gene mutant also had strong association with the immune profile (MSI-high, TMB-high, and PD-L1 positivity) (Table). Furthermore, even SWI/SNF gene mutant samples with microsatellite stable status were significantly associated with TMB-high (28.2%, P< 0.001) and PD-L1 positivity (10.0%, P< 0.001). Conclusions: Gene mutations of the SWI/SNF complex exhibit findings that suggest that this subgroup of CRCs may have a higher likelihood of response to PD-1 and PD-L1 targeting monoclonal antibodies. If validated in other data sets, these findings can be used to justify clinical trials with eligibility based upon the presence of mutations within the SWI/SNF complex.

Association between gene mutations of SWI/SNF complex and immune profile.

GenesMutation rate (%)MSI-H rate (%)P valueTMB-H rate (%)P valuePD-L1 positive rate (%)P value
SWI/SNF genes11.340.9<0.0156.8<0.0117.9<0.01
ARID1A7.746.1<0.0160.3<0.0119.1<0.01
ARID21.737.2<0.0154.6<0.0119.5<0.01
SMARCA41.364.6<0.0177.1<0.0127.5<0.01
PBRM11.235.3<0.0164.7<0.0113.90.03
BCL11A1.087.2<0.0195.8<0.0125.5<0.01
SMARCB10.551.4<0.0162.2<0.0113.90.15
BCL11B0.575.0<0.0181.3<0.0115.60.09
SMARCE10.366.7<0.0183.3<0.0150.0<0.01
SS180.333.3<0.0142.90.1813.30.44
BCL7A0.133.30.0255.60.0622.20.14
SS18L10.150.0<0.0150.00.2000.35

P value was based on Fisher’s exact test (vs. wild).

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Abstract Details

Meeting

2019 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Gastrointestinal (Colorectal) Cancer

Track

Gastrointestinal Cancer—Colorectal and Anal

Sub Track

Epidemiology/Outcomes

Citation

J Clin Oncol 37, 2019 (suppl; abstr 3600)

DOI

10.1200/JCO.2019.37.15_suppl.3600

Abstract #

3600

Poster Bd #

92

Abstract Disclosures

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