Development of an improved risk stratification scheme for stage II and III colorectal cancers through incorporation of the digital pathology biomarker QuantCRC.

Authors

null

Rish Pai

Department of Pathology and Laboratory Medicine, Mayo Clinic Arizona, Phoenix, AZ

Rish Pai , Christina Wu , Heidi E. Kosiorek , Imon Banerjee , Catherine E. Hagen , Christopher P. Hartley , Rondell P. Graham , Bassam Bassam Sonbol , Tanios S. Bekaii-Saab , Hao Xie , Frank A. Sinicrope , Bhavik Patel , Thomas Westerling-Bui , Sameer Shivji , James Conner , Carol Jane Swallow , Paul Savage , David Patrick Cyr , Richard Kirsch , Reetesh Pai

Organizations

Department of Pathology and Laboratory Medicine, Mayo Clinic Arizona, Phoenix, AZ, Department of Hematology/Oncology, Mayo Clinic Arizona, Phoenix, AZ, Department of Statistics, Mayo Clinic, Scottsdale, AZ, Mayo Clinic, Phoenix, AZ, Department of Pathology and Laboratory Medicine, Mayo Clinic, Rochester, MN, Department of Pathology and Laboratory Medicine, Mayo Clinic Rochester, Rochester, MN, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, Mayo Clinic Arizona, Phoenix, AZ, Mayo Clinic, Rochester, MN, Mayo Clinic College of Medicine, Rochester, MN, Aiforia Inc, Cambridge, MA, University of Toronto, Toronto, ON, Canada, Mount Sinai Hospital, Toronto, ON, Canada, Mount Sinai Hospital-Breast Medical Oncology, Toronto, ON, Canada, University of Pittsburgh Medical Center, Pittsburgh, PA

Research Funding

No funding sources reported

Background: There is a need to improve current risk stratification of stage II and III colorectal cancer (CRC) to better inform risk of recurrence and guide adjuvant chemotherapy. The purpose of this study is to examine whether integration of QuantCRC, an AI-based digital pathology biomarker utilizing hematoxylin and eosin-stained slides, provides improved risk stratification over current American Society of Clinical Oncology (ASCO) guidelines. Methods: ASCO and QuantCRC-integrated risk schemes were applied to an observational cohort of 1,068 stage II and III CRCs. The stage II integrated scheme utilizes pT3 vs. pT4 and QuantCRC-derived risk groups. The stage III integrated scheme utilizes pT1-3 vs. pT4, pN1 vs. pN2, and QuantCRC-derived risk groups. Performance metrics included log-rank test, hazard ratios and Somers’ Dxy rank correlation. Results: Integration of QuantCRC provides improved risk stratification compared to the ASCO scheme for stage II and III CRC. The QuantCRC-integrated scheme placed more stage II tumors in the low-risk group compared to the ASCO scheme (69.3% vs. 60.4%) without decreased 3-year RFS. The QuantCRC-integrated scheme provided larger hazard ratios (HR) for both intermediate-risk (3.04, 95%CI 1.81-5.10, P=2.8x10-5) and high-risk (4.62, 95%CI 2.02-10.61, P=0.0003) groups compared to ASCO intermediate-risk (2.09, 95%CI 1.21-3.63, P=0.008) and high-risk (3.08, 95%CI 1.57-6.01, P=0.001) groups. The QuantCRC-integrated scheme for stage III tumors identified a small group of 80/518 (15.4%) CRCs at very high risk of recurrence with HR of 4.08 (95%CI 2.68-6.23, P=6.5x10-11) compared to a HR of 2.42 (95%CI 1.72-3.38, P=3.1x10-7) for 228/518 (44.0%) high-risk CRCs in the ASCO scheme. QuantCRC-integrated risk groups remained prognostic in stage III CRCs when stratified by presence or absence of any adjuvant chemotherapy. No difference in RFS were seen in QuantCRC-integrated low-risk and intermediate-risk stage III CRCs stratified by 3 vs. 6-months of oxaliplatin-based adjuvant chemotherapy suggesting that these two groups can be treated with 3-months of adjuvant therapy. Conclusions: Incorporation of QuantCRC into risk stratification provides a powerful predictor of RFS that has potential to guide subsequent treatment and surveillance.

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Abstract Details

Meeting

2024 ASCO Gastrointestinal Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session C: Cancers of the Colon, Rectum, and Anus

Track

Colorectal Cancer,Anal Cancer

Sub Track

Tumor Biology, Biomarkers, and Pathology

Citation

J Clin Oncol 42, 2024 (suppl 3; abstr 162)

DOI

10.1200/JCO.2024.42.3_suppl.162

Abstract #

162

Poster Bd #

K10

Abstract Disclosures