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Olson, Marilyn C.

0009-0002-1467-6098

Mayo Clinic

Regenstrief Institute

Citations 3

Next-Generation Multitarget Stool DNA Test for Colorectal Cancer Screening
Imperiale, Thomas F. , Zella, Julia, Olson, Marilyn C. , Statz, Sandi, Garces, Jorge , Lavin, Philip T. , Aguilar, Humberto , Brinberg, Don, Berkelhammer, Charles , Porter, Kyle, Gagrat, Zubin D. , Porter, Kyle M. , Kisiel, John B. , Limburg, Paul J.

New England Journal of Medicine | March 13, 2024 | Volume: 390 | Issue: 11 | Pages: 984-993

10.1056/nejmoa2310336 Get It

Assessment of Stool DNA Markers to Detect Colorectal Neoplasia in Patients with Inflammatory Bowel Disease: A Multi-site Case-control Study
Olson, Marilyn C. , Zella, Julia, Itzkowitz, Steven H. , Farraye, Francis A. , Limburg, Paul J. , Gagrat, Zubin D. , Kisiel, John B.

Journal of Crohn's and Colitis | May 11, 2023 | Volume: 17 | Issue: 9 | Pages: 1436-1444

10.1093/ecco-jcc/jjad069 Get It

Abstract Background and Aims The FDA-approved multitarget stool-DNA [mt-sDNA] test is a successful colorectal cancer [CRC] screening tool in average-risk individuals but is not indicated for patients with inflammatory bowel disease [IBD]. We determined the performance of the mt-sDNA assay without the haemoglobin component [mt-sDNAHgb-] in patients with IBD, while measuring sensitivity for colorectal cancer and advanced colorectal neoplasia [ACRN]. Methods This was a multi-centre, proof-of-concept investigation in persons aged 18–84 years with a diagnosis of IBD, or primary sclerosing cholangitis [PSC] with IBD. Enrolment occurred between March 2013 and May 2016. Stool was tested with the mt-sDNA molecular markers only, minus the immunochemical haemoglobin component. Results The analysis set contained 355 samples. The median age was 52 [range 39–62] years, 45.6% were female and 93% were White. Two-thirds [63%] had ulcerative colitis [UC] and 10.1% had PSC/IBD. Colonoscopy revealed cancer in 8.5% [N = 30], advanced precancerous lesions [APLs] in 9.3% [N = 33] and non-advanced precancerous lesions in 7.6% [N = 27], and three-quarters [74.7%, N = 265] had negative findings. mt-sDNAHgb- sensitivity was 73.3% for any stage cancers, and 76.2% for ACRN. Sensitivity was highest for IBD-associated high-grade dysplasia at 100% and 84.6% for IBD-associated low-grade dysplasia ≥1 cm. The test showed higher sensitivity and lower specificity in UC than in Crohn’s disease. Increasing inflammation score was associated with a significant decrease in mt-sDNAHgb- test score [ = 0.028] amongst neoplasia-negative individuals, but not in patients with ACRN. Conclusions These data highlight the potential of multitarget stool-DNA marker testing as an important addition to colorectal cancer surveillance by complementing colonoscopic evaluations in IBD patients.
Algorithm for blood-based panel of methylated DNA and protein markers to detect early-stage hepatocellular carcinoma with high specificity.
Chalasani, Naga , Bhattacharya, Abhik , Book, Adam, Neis, Brenda M., Xiong, Kong, Ramasubramanian, Tiruvidaimarudur S., Lidgard, Graham P. , Reddy, K.R., Olson, Marilyn C. , Bruinsma, Janelle J., Book, Adam J. , Johnson, Scott, Roberts, Lewis R. , Kisiel, John B. , Singal, Amit G.

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 4577-4577

10.1200/jco.2020.38.15_suppl.4577 Get It

4577 Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide. Though biannual ultrasound surveillance with or without alpha-fetoprotein (AFP) testing is recommended for at-risk patients, its sensitivity for early-stage HCC detection is suboptimal. We therefore evaluated performance of a biomarker panel incorporating methylated DNA markers (MDMs) and proteins for early HCC detection in at-risk patients with chronic liver disease. Methods: In an international, multicenter, case-control study, blood specimens were collected from patients with HCC per AASLD criteria and controls matched for age and liver disease etiology. All patients had underlying cirrhosis or chronic HBV infection. Whole blood was collected in cell-free DNA stabilizing and serum-separation tubes and shipped to a central laboratory for processing. The levels of 5 MDMs, AFP, and AFP-L3 were assessed along with age and sex. We used 537 samples in a 5-fold validation for developing a LASSO regression algorithm to classify samples as HCC positive or negative. Model robustness was tested by perturbing the data in silico and analyzing results with the predictive algorithm. Algorithm performance was compared to AFP alone and the GALAD score (Gender, Age, AFP-L3, AFP, and DCP). Results: The study included 136 HCC cases (81 early-stage—BCLC stage 0/A) and 401 controls. With specificity set at 89%, we developed a model using sex, AFP, and 3 MDMs (HOXA1, TSPYL5, B3GALT6) with higher sensitivity (70%) for early-stage HCC compared to GALAD (54%) or AFP (31% at 20 ng/mL or 52% at ≥7.7 ng/mL) (Table). The AUC for the HCC marker panel was 0.91 (95% CI 0.89 – 0.94) compared to GALAD (0.88; 95% CI 0.85 – 0.91) or AFP (0.84; 95% CI 0.81 – 0.87). The panel performed similarly in viral (AUC = 0.94) and non-viral (AUC = 0.89) etiologies. Conclusions: The robust algorithm based on novel blood-based biomarkers presented here provides higher sensitivity for early-stage HCC compared to other available blood-based biomarkers and, therefore, could significantly impact HCC clinical management and patient outcomes. Further clinical studies to validate the algorithm are ongoing. Clinical trial information: NCT03628651 . [Table: see text]