Citations

Abstract Introduction: Screening for prostate cancer (PCa) with molecular markers is hindered by low tumor allele fraction (TAF) in liquid biopsy samples such as blood or urine. Others have suggested that tumor allele enrichment can be achieved by evaluating fragment-level methylation patterns generated by next generation sequencing (NGS). Here, we test this concept using target capture NGS on cfDNA from prediagnostic collected urine samples to discriminate PCa from otherwise healthy men. Methods: Buffered urines were collected from 23 patients with biopsy confirmed PCa (Gleason score 6-9) and 24 otherwise healthy age matched cancer-free controls. cfDNA was isolated and enzymatic methyl-seq libraries were prepared and enriched by hybrid capture using probes mapping to 197 differentially methylated regions (DMRs) from a previous PCa/normal tissue marker discovery study in our lab. These DMRs were subsequently vetted independently using a methylome-wide dataset from a cohort of 36 clean and disease control urines to ensure low non-cancer background signal (<1%). Indexed libraries were sequenced at 560X deduplicated coverage and fragment-level CpG methylation information was extracted from individual sample .bam files. Mapped sequencing reads exhibiting concordant methylation were used to derive a quantitative α-score. Reads had to contain at minimum 5 CpGs and have an α-value (% 5mC per read) > 60%. Positivity for the 197 markers required an α-score greater than 6 sigma (σ) above the mean of the control arm. Values were variance-adjusted to ensure equal weighting. Beta (β) analysis (mean % 5mC across all reads) of the data was also performed for comparison. Results: Of the 197 markers, 187 were positive for one or more PCa patients. Tumor-derived fragments were detected in 22 of 23 cases, which included 8 G-6, 9 G-7, 2 G-8, and 3 G-9 patients. 1 G-7 was missed, however the sequencing coverage for this sample was significantly lower than the others due to poor library enrichment. 2 of the 24 healthy controls were positive, one with extremely high fragment counts. Upon re-review of the full control cohort, this patient had been diagnosed with bladder cancer 2 years after urine collection. The 2nd patient had was diagnosed with lung cancer in a similar timeframe. The other 22 confirmed cancer-free controls had α-scores below the 6σ threshold. Using a co-captured reference gene (B3GALT6) to mimic genomic equivalents, the TAFs ranged from 0.015% to 8%. β analysis of the data detected only 13 PCa patients (>6σ) and marker positivity was lower than the fragment-level approach. Conclusion: Target capture NGS coupled with fragment-level analysis is a rational approach for sensitive and specific detection of low tumor-derived DNA in liquid biopsy samples. For PCa assay in urine, we were able to uncover positivity in cancer patients approaching 1 in 10,000 ctDNA dilution levels. These results warrant further validation studies with this and other cancers. Citation Format: Tibor Bedekovics, William R. Taylor, Zhifu Sun, Saurabh Baheti, Xiaoming Cao, Kelli N. Burger, Karen A. Doering, Patrick H. Foote, Benjamin Gochanour, Douglas, W. Mahoney, Matthew T. Gettman, John B. Kisiel. Detection of prostate cancer in urine by fragment-level DNA methylation analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2424.

Plasma-based MDMs may offer a cost-effective alternative to imaging for melanoma detection. Early results show 80% sensitivity and 100% specificity against cancer-free controls. Further study needed. #MelanomaResearch #EarlyDetection

Abstract Background: Reliable non-invasive biomarkers for human papillomavirus (HPV) associated oropharyngeal squamous cell carcinoma (OPX) are lacking. We performed a discovery and validation study of methylated DNA markers (MDMs) for detection of OPX. In addition, we sought to evaluate the MDM profiles in saliva gargle samples from normal controls (nSAL). Methods: Formalin fixed paraffin embedded OPX and gender-balanced normal oropharyngeal tissue (NOP) were pathologically reviewed and punched for DNA extraction and sequenced using reduced representation bisulfite sequencing (RRBS). A tiling algorithm was used to define candidate MDMs. Highest ranked (e.g., area under the receiver operating characteristic curve (AUC), fold-change, p-value) candidate MDMs were validated by qMSP in independent OPX and NOP samples. nSAL DNA was used to assess MDM background signal. Discrimination between OPX tissue, NOP, and nSAL was assessed using AUC with corresponding 95% confidence intervals. HPV was confirmed with p16 staining or DNA in situ hybridization. Results: RRBS discovery assessed 18 OPX, 18 NOP, and 18 normal WBC samples. 234 MDM candidates from approximately 3 × 106 CpGs at >10X coverage were identified. 36 MDMs were selected for validation in independent patient samples which included 32 OPX, 36 NOP, and 35 nSAL specimens. OPX patients were older (median 51; IQR 45-54 years) than NOP patients (median 29; IQR 24-42). 69 and 61% of OPX and NOP patients were female, respectively. The majority of OPX patients were Stage I (n=27, 84%). We observed excellent discrimination between OPX and NOP in the validation set; the median AUC across 36 MDMs was 0.90 (IQR 0.87-0.95). The 10 highest performing markers (PARP15, EPDR1, SHROOM1, EMBP1.rs, IFFO1, MAX.chr19.118, ZNF763, ITGB4, FAM19A2, and MT1IP) exhibited AUCs ranging from 0.95-0.99. Strong discrimination was also observed between OPX and nSAL (Median AUC=0.97; IQR=0.93-0.99). All 10 of the highest-performing markers in tissue exhibited AUCs of at least 0.97 for discriminating OPX versus nSAL. Median fold change between NOP and nSAL across all MDMs was 1.9 (IQR 1.4-3.8), demonstrating low background signal in nSAL. Conclusions: We found strong discrimination in a panel of 36 MDMs between OPX case and control tissue as well as between OPX case tissue and normal saliva. The low background signal observed in normal saliva makes this media a strong candidate for non-invasive detection of OPX. Further studies are in development to assess the utility of measuring these MDMs in both case and control saliva and blood for detecting OPX non-invasively. Citation Format: Benjamin R. Gochanour, David M. Routman, Kathleen R. Bartemes, William R. Taylor, Douglas W. Mahoney, Rondell P. Graham, Xiaoming Cao, Calise K. Berger, Sara S. Then, Karen A. Doering, Kelli N. Burger, Patrick H. Foote, John B. Kisiel, Kathryn M. Van Abel. Discovery and validation of methylated DNA markers of human papillomavirus associated oropharyngeal squamous cell carcinoma [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PO-039.

Abstract Objective: Upper tract urothelial cancers (UTUC) can be difficult to characterize, and non-invasive surveillance tools are lacking. UTUC are often treated with nephroureterectomy (NU). To address these gaps, we sought to discover and validate methylated DNA markers (MDMs) for detection of UTUC. Methods: Archival formalin fixed paraffin embedded (FFPE) tissue samples from NU were pathologically reviewed and punched prior to DNA extraction. Reduced representation bisulfite sequencing (RRBS) was used to identify candidate MDMs that discriminated between UTUC and age-balanced control urothelial tissues (uninvolved ureter/renal pelvic of renal cell carcinoma at radical nephrectomy). Highest ranked (fold-change and p-value) candidate MDMs were biologically validated by quantitative methylation specific PCR in a 2nd independent set of UTUC and age-balanced controls. DNA from healthy donor urine and buffy coat samples was used to assess MDM background signal. Discrimination between UTUC and controls was assessed as the area under the receiver operator characteristic curve (AUC) with corresponding 95% confidence intervals. Results: RRBS assessed 33 UTUC and 26 ureter/renal pelvis controls. 3.01 x 106 CpGs mapped to the reference genome with at least 10X read depth. From 358 candidates, 20 MDMs were selected for biological validation in independent patient samples which included 20 renal pelvis & 16 ureter UTUC and 17 renal pelvis & 15 ureter control specimens. Of UTUC and control patients, 36% and 65% of were men, respectively. Median AUC for comparison of UTUC vs control tissue was 0.87 (IQR 0.81-0.88); AUCs with corresponding 95% CIs are shown for the 10 most accurate MDMs (Table) across all control types. Conclusion: We report discovery and validation of highly sensitive and specific MDMs with potential for accurate non-invasive screening supported by low background in urine and blood. AUCs (95% CI) for selected methylated DNA markers for UTUC vs control tissue, urine, and blood UTUC vs Marker Control Tissue Control Urine Control Buffy C2orf55 0.92 (0.84-1) 0.93 (0.87-1) 0.96 (0.91-1) ANKRD35 0.91 (0.84-0.99) 0.93 (0.86-1) 0.98 (0.94-1) DLX6 0.91 (0.84-0.98) 0.78 (0.66-0.9) 0.97 (0.93-1) Chr8.9998 0.90 (0.82-0.97) 0.91 (0.84-0.97) 0.98 (0.96-1) SP9 0.88 (0.8-0.97) 0.95 (0.9-1) 0.99 (0.98-1) Chr13.1127 0.88 (0.8-0.97) 0.94 (0.89-1) 0.92 (0.85-1) Septin9.r2 0.88 (0.79-0.97) 0.95 (0.88-1) 0.98 (0.94-1) LBX2 0.88 (0.79-0.97) 0.94 (0.88-1) 0.96 (0.91-1) SIM2.r1 0.88 (0.79-0.97) 0.91 (0.82-1) 0.94 (0.86-1) Chr14.1037 0.88 (0.78-0.97) 0.93 (0.85-1) 0.96 (0.9-1) Citation Format: Ojas Bhagra, William R. Taylor, Benjamin R. Gochanour, Patrick H. Foote, Calise K. Berger, Xiaoming Cao, Douglas W. Mahoney, Sara S. Then, Anna M. Gonser, Karen A. Doering, Kelli N. Burger, John C. Cheville, Matthew T. Gettman, John B. Kisiel. Discovery and validation of methylated DNA markers of upper tract urothelial tract cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3349.

Abstract Objectives: We hypothesize that a validated panel of methylated DNA markers (MDMs) for HPV(+)CSCC will be similar to but distinct from a cohort of HPV(+)OPSCC. Methods: Patients were excluded for recurrent tumor, prior pelvic or head or neck cancer/neoplasia, chemotherapy < 1 year, prior therapeutic radiation to the target region, prior transplant, insufficient target tissue (<5mm), or if <18 yrs. MDMs identified from sequenced differentially methylated regions were selected from a panel validated for HPV(+)CSCC and evaluated on DNA from independent FFPE HPV(+)OPSCC, HPV(+)CSCC, normal oropharynx tonsil, and normal cervix tissue using methylation-specific PCR. White blood cells (WBCs) were used as a background control. Results: 34 HPV(+)OPSCC, 36 HPV(+)CSCC, 26 normal tonsil tissue, and 24 normal cervical tissue patients met criteria. The HPV(+)OPSCC cohort was older (57 vs 44 yrs, p=0.027), had more frequent alcohol exposure (85% vs 64%, p=0.02), but similar ACE-27 comorbidity scores (p=0.078) and tobacco use (p=0.066). Tumor stages were stage I (47% and 83%), stage II (44% and 11%) and stage III (9% and 6%) for HPV(+)OPSCC and HPV(+)CSCC, respectively. Twenty-one MDMs were evaluated and areas under the receiver operator characteristic curve (AUC) are reported (Table 1). 95% confidence intervals excluded a non-diagnostic null hypothesis AUC of 0.5. 5/21 (24%) achieved an AUC ≥ 0.90, 15/21 (71%) achieved an AUC ≥ 0.8, and 19/21 (90%) exhibited better than chance classifications relative to control tonsil tissue (all p<0.001). Conclusion: MDMs have the potential to discriminate both HPV(+)OPSCC and HPV(+)CSCC from their normal tissue controls. 90% of the MDMs discovered for HPV(+)CSCC had better than chance discrimination in HPV(+)OPSCC suggesting a distinct signature between the two subtypes. Future discovery efforts specific to HPV(+)OPSCC is warranted. Methylated DNA Markers in HPV(+)OPSCC and HPV(+)CSCC CSCC AUC (95% CI) OPSCC AUC (95% CI) AUC CSCC vs AUC OPSCC Pvalue GRIN2D 0.72 (0.59-0.85) 0.91 (0.83-0.99) 0.019 EMX1 0.93 (0.86-0.99) 0.77 (0.65-0.89) 0.0191 VWC2 0.88 (0.79-0.97) 0.57 (0.42-0.72) 0.0001 ZNF610 0.99 (0.98-1) 0.89 (0.8-0.97) 0.0162 ZNF781.F 0.92 (0.86-0.99) 0.79 (0.67-0.91) 0.0585 TBX15 0.99 (0.96-1) 0.82 (0.72-0.93) 0.0025 TSPYL5 0.94 (0.87-1) 0.82 (0.72-0.93) 0.058 LOC645323 0.95 (0.89-1) 0.88 (0.8-0.97) 0.1952 ASCL1 0.98 (0.93-1) 0.86 (0.76-0.95) 0.0187 ABCB1 0.97 (0.93-1) 0.74 (0.61-0.86) 0.0001 ZNF69 0.89 (0.8-0.97) 0.95 (0.9-1) 0.2017 MAX.chr9 0.97 (0.92-1) 0.82 (0.72-0.93) 0.0113 ARHGAP12 0.91 (0.83-0.99) 0.9 (0.81-1) 0.9223 C1orf114 0.94 (0.86-1) 0.88 (0.8-0.97) 0.3366 MAX.chr6 0.99 (0.97-1) 0.86 (0.76-0.96) 0.0099 NEUROG3 0.95 (0.89-1) 0.7 (0.57-0.83) 0.0001 NID2 0.98 (0.95-1) 0.86 (0.77-0.95) 0.0207 TMEM200C 0.95 (0.89-1) 0.54 (0.39-0.69) 0.0001 TTYH1 0.99 (0.98-1) 0.82 (0.71-0.93) 0.0023 ZNF773 0.93 (0.86-1) 0.9 (0.82-0.98) 0.5696 ZNF781.R 1 (1-1) 0.92 (0.86-0.99) 0.0198 Citation Format: Kathryn M. Van Abel, David M. Routman, Daniel J. Ma, Karen A. Doering, Kelli N. Burger, Patrick H. Foote, William R. Taylor, Douglas W. Mahoney, Calise K. Berger, Xiaoming Cao, Sara S. Then, Alyssa M. Larish, Eric J. Moore, Joaquin G. Garcia, Rondell P. Graham, Jamie N. Bakkum-Gamez, John B. Kisiel. Comparison of methylated DNA markers between human papillomavirus mediated carcinoma in oropharynx and cervical cancer: A pilot study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3742.

9567 Background: Cutaneous melanoma surveillance is important to identify low-volume systemic disease, but imaging is costly and poorly accessible to patients; frequent skin checks lack sensitivity and specificity. We aimed to establish clinical feasibility of a liquid biopsy blood test, which quantifies validated, melanoma-specific, methylated DNA markers (MDMs), previously discovered, and reported by our team, using tissue extracted DNA. Methods: We prospectively collected blood from adult patients with histologically confirmed melanoma metastases and no other internal malignancies (within 5-years) who underwent surveillance by FDG-PET/CT (N = 88). Blood from age- and sex balanced cancer-free controls (N = 100) were compared. From PET/CT, we extracted the number of organs involved, SUV-max, and largest tumor diameter. Unequivocal metastasis was defined as SUV ≥ 4 and largest diameter > 5 mm. Because PET/CT is inadequate for the screening of brain metastases, we excluded the brain from the analysis. MDMs ( chr11.149, HOXA9, chr20.210, FLJ22536, CLIC5, SIX4, chr7.155, chr17.730, chr1.110) were assayed using target enrichment long-probe quantitative-amplified signal assays, normalized to B3GALT6, in blinded fashion. Using a logistic regression approach and nine candidate MDMs, we calculated the sensitivity for detecting patients with metastasis on PET/CT at 100% specificity. Results: 52/88 (59%) of melanoma patients showed evidence of metastasis on PET/CT at the time of blood draw. At 100% specificity, a panel of 4 MDMs ( HOXA9, chr20.210, chr17.730, chr1.110) yielded a sensitivity of 86.5% (45/52 cases) vs. 100 cancer-free controls. When applying this model to the 36 PET/CT-negative patients, specificity was as high as 97.2% (35/36 cases) while maintaining a sensitivity of 86.5% (one patient with a positive test result had a complete metabolic response to binimetinib / encorafenib prior to negative PET/CT). For patients with ≥ 2 organs involved by metastasis, sensitivity was 100% (29/29 cases). False-negative cases had metastasis in single organs and were characterized by minimal tumor burden and oral corticosteroid use. One false-negative patient had localized stage III disease without known primary melanoma. Conclusions: Plasma MDM levels appear highly concordant with FDG-PET/CT in patients with metastatic cutaneous melanoma. A liquid biopsy approach has potential to lower cost and improve patient access to surveillance. Additional prospective studies in larger intended use cohorts are needed to validate our results.

e17610 Background: Methylated DNA markers (MDMs) associated with sporadic ovarian cancer (OC) are detected in plasma from patients with treatment naïve tumors, but not cancer-free controls. To assess potential benefits to patients at risk for hereditary OC, the aim of this study was to measure the performance of validated sporadic OC MDMs in OC and benign ovarian tissue (BOT), surgically obtained from germline BRCA1 or BRCA2 ( BRCA1/2) mutation carriers. Methods: BRCA1/2 carriers with OC and BRCA1/2 carriers who had undergone risk-reducing salpingo-oophorectomy (SO) were identified at a comprehensive cancer center. BRCA1/2 carriers in both OC and BOT groups were balanced on age and year of surgery with non- BRCA carriers with sporadic OC or benign indications for SO. OC and BOT formalin fixed paraffin embedded (FFPE) tissues were macrodissected following pathologist selection of representative sites; DNA was extracted, and bisulfite converted. 15 OC MDMs ( GDF6, IFFO1, MAX.chr1.147790358, MAX.chr6.10382190, MAX.chr11.14926602, C2CD4D, PDRM14, NCOR2, SKI, DSCR6, SIM2, PALLD, CDO1, GPRIN1, BCAT1) previously identified in sporadic OC were assayed by quantitative methylation specific PCR, normalized by β-actin, by blinded personnel. Areas under the receiver operating characteristic curve (AUC) were generated for each MDM to assess discrimination of OC from benign tissue and compared between BRCA1/2 and sporadic (non- BRCA) patients, using a z-test. Results: Among BRCA1/2 carriers, there were 48 OC ( BRCA-OC) and 48 BOT ( BRCA-BOT); among non- BRCA, we matched 48 OC (Sporadic-OC) and 48 BOT (non- BRCA-BOT). The median AUC for OC MDM discriminated between OC and BOT with AUCs in BRCA1/2 carriers was 0.87, (IQR, 0.83-0.93). Sporadic-OC vs non- BRCA-BOT median AUC was 0.88 (IQR, 0.83-0.92). AUCs were not significantly different for each MDM when stratified by BRCA or sporadic status. MDMs with an AUC of ≥0.9 in either group are shown (Table). Conclusions: OC MDMs identified and validated in sporadic OC are highly discriminant for OC from BOT in DNA extracted from tissues of people who carry a BRCA1/2 mutation. Testing the performance of these OC MDMs in plasma from BRCA1/2 carriers with and without OC may be of clinical value for high-risk patients and inform multi-cancer early detection testing strategies.[Table: see text]

5526 Background: HR-HPV DNA testing, with or without cervical cytology, provides excellent sensitivity for detection of cervical cancer (CC) and its precursors; negative test results indicate that risk of disease is extremely low and enable women to undergo reduced screening with safety. However, management of women who screen positive remains challenging as many will prove to have self-limited HR-HPV infections. DNA methylation is an early event in carcinogenesis that could enhance CC screening specificity. Methods: For discovery, DNA from 70 FFPE CC (36 squamous, 34 adenocarcinoma) tissues that were reviewed microscopically, 18 fresh frozen benign cervicovaginal (BCV) tissues collected at the time of benign hysterectomy, and 18 buffy coats from cancer-free women underwent reduced representation bisulfite sequencing (RRBS) to identify MDMs associated with CC. Candidate MDM selection was based on area under the receiver operating characteristic curve (AUC) discrimination, methylation fold change, and low background methylation among benign controls. Candidate MDMs were re-tested using methylation-specific PCR (MSP) to confirm performance. Blinded biological validation was performed using MSP on DNA extracted from independent FFPE CC (38 squamous, 43 adenocarcinoma) and BCV (40) tissues. The performance of CC MDMs was also tested in DNA extracted from cervical dysplasia (36 adenocarcinoma in situ (AIS), 32 cervical intraepithelial neoplasia (CIN) 2/3, 11 CIN 1) FFPE tissues. Results: From RRBS discovery and technical validation via MSP, 30 candidate MDMs showed marked methylation fold changes (10 to >1000) across both CC histologies compared to BCV tissue from cancer-free women. Each of the 30 MDMs highly discriminated CC from BCV tissue with 9 MDMs having an AUC >0.90 (Table). CC MDMs also highly discriminated AIS from BCV but did not perform well in CIN 2/3 and CIN 1 (Table). Conclusions: Whole methylome sequencing, stringent filtering criteria, and biological validation have yielded outstanding candidate MDMs for CC that highly discriminate CC from BCV, notably with high specificity. Performance in cervical dysplasias varied with higher positivity rates in AIS than in CIN 2/3 and CIN 1. Translation to testing these novel MDMs in lower genital tract biospecimens and the addition of HR-HPV to the CC panel are warranted.[Table: see text]

Cholangiocarcinoma (CCA) has poor prognosis due to late‐stage, symptomatic presentation. Altered DNA methylation markers may improve diagnosis of CCA. Reduced‐representation bisulfite sequencing was performed on DNA extracted from frozen CCA tissues and matched to adjacent benign biliary epithelia or liver parenchyma. Methylated DNA markers (MDMs) identified from sequenced differentially methylated regions were selected for biological validation on DNA from independent formalin‐fixed, paraffin‐embedded CCA tumors and adjacent hepatobiliary control tissues using methylation‐specific polymerase chain reaction. Selected MDMs were then blindly assayed on DNA extracted from independent archival biliary brushing specimens, including 12 perihilar cholangiocarcinoma, 4 distal cholangiocarcinoma cases, and 18 controls. Next, MDMs were blindly assayed on plasma DNA from patients with extrahepatic CCA (eCCA), including 54 perihilar CCA and 5 distal CCA cases and 95 healthy and 22 primary sclerosing cholangitis controls, balanced for age and sex. From more than 3,600 MDMs discovered in frozen tissues, 39 were tested in independent samples. In the clinical pilot of 16 MDMs on cytology brushings, methylated EMX1 (empty spiracles homeobox 1) had an area under the curve (AUC) of 0.98 (95% confidence interval [CI], 0.95‐1.0). In the clinical pilot on plasma, a cross‐validated recursive partitioning tree prediction model from nine MDMs was accurate for de novo eCCA (AUC, 0.88 [0.81‐0.95]) but not for primary sclerosing cholangitis–associated eCCA (AUC, 0.54 [0.35‐0.73]). Conclusion : Next‐generation DNA sequencing yielded highly discriminant methylation markers for CCA. Confirmation of these findings in independent tissues, cytology brushings, and plasma supports further development of DNA methylation to augment diagnosis of CCA.

Abstract Purpose: We aimed to assess the concordance of colorectal cancer–associated methylated DNA markers (MDM) in primary and metastatic colorectal cancer for feasibility in detection of distantly recurrent/metastatic colorectal cancer in plasma. Experimental Design: A panel of previously discovered colorectal cancer–associated MDMs was selected. MDMs from primary and paired metastatic colorectal cancer tissue were assayed with quantitative methylation-specific PCR. Plasma MDMs were measured blindly by target enrichment long-probe quantitative-amplified signal assays. Random forest modeling was used to derive a prediction algorithm of MDMs in archival plasma samples from primary colorectal cancer cases. This algorithm was validated in prospectively collected plasma samples from recurrent colorectal cancer cases. The accuracy of the algorithm was summarized as sensitivity, specificity, and area under the curve (AUC). Results: Of the 14 selected MDMs, the concordance between primary and metastatic tissue was considered moderate or higher for 12 MDMs (86%). At a preset specificity of 95% (91%–98%), a panel of 13 MDMs, in plasma from 97 colorectal cancer cases and 200 controls, detected stage IV colorectal cancer with 100% (80%–100%) sensitivity and all stages of colorectal cancer with an AUC of 0.91 (0.87–0.95), significantly higher than carcinoembryonic antigen [AUC, 0.72 (0.65–0.79)]. This panel, in plasma from 40 cases and 60 healthy controls, detected recurrent/metastatic colorectal cancer with 90% (76%–97%) sensitivity, 90% (79%–96%) specificity, and an AUC of 0.96 (0.92–1.00). The panel was positive in 0.30 (0.19–0.43) of 60 patients with no evidence of disease in post-operative patients with colorectal cancer. Conclusions: Plasma assay of novel colorectal cancer–associated MDMs can reliably detect both primary colorectal cancer and distantly recurrent colorectal cancer with promising accuracy.