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Background Early cancer detection could identify tumors at a time when outcomes are superior and treatment is less morbid. This prospective case-control sub-study (from NCT02889978 and NCT03085888) assessed the performance of targeted methylation analysis of circulating cell-free DNA (cfDNA) to detect and localize multiple cancer types across all stages at high specificity. Participants and methods The 6689 participants [2482 cancer (>50 cancer types), 4207 non-cancer] were divided into training and validation sets. Plasma cfDNA underwent bisulfite sequencing targeting a panel of >100 000 informative methylation regions. A classifier was developed and validated for cancer detection and tissue of origin (TOO) localization. Results Performance was consistent in training and validation sets. In validation, specificity was 99.3% [95% confidence interval (CI): 98.3% to 99.8%; 0.7% false-positive rate (FPR)]. Stage I–III sensitivity was 67.3% (CI: 60.7% to 73.3%) in a pre-specified set of 12 cancer types (anus, bladder, colon/rectum, esophagus, head and neck, liver/bile-duct, lung, lymphoma, ovary, pancreas, plasma cell neoplasm, stomach), which account for ∼63% of US cancer deaths annually, and was 43.9% (CI: 39.4% to 48.5%) in all cancer types. Detection increased with increasing stage: in the pre-specified cancer types sensitivity was 39% (CI: 27% to 52%) in stage I, 69% (CI: 56% to 80%) in stage II, 83% (CI: 75% to 90%) in stage III, and 92% (CI: 86% to 96%) in stage IV. In all cancer types sensitivity was 18% (CI: 13% to 25%) in stage I, 43% (CI: 35% to 51%) in stage II, 81% (CI: 73% to 87%) in stage III, and 93% (CI: 87% to 96%) in stage IV. TOO was predicted in 96% of samples with cancer-like signal; of those, the TOO localization was accurate in 93%. Conclusions cfDNA sequencing leveraging informative methylation patterns detected more than 50 cancer types across stages. Considering the potential value of early detection in deadly malignancies, further evaluation of this test is justified in prospective population-level studies.

Background Our previous discovery work identified whole-genome bisulfite sequencing as outperforming whole-genome and targeted sequencing approaches for multi-cancer detection. We developed a targeted methylation assay for multi-cancer detection and tissue of origin (TOO) localization. Methods Participants were from Circulating Cell-free Genome Atlas (CCGA; NCT02889978) and STRIVE (NCT03085888), both prospective, multi-center, observational studies with longitudinal follow-up. cfDNA from 3,583 evaluable samples (1,530 cancer, 2,053 non-cancer) spanned >20 tumor types of all stages; a prespecified subset of these comprised the "multi-cancer" group: anorectal, hormone-receptor (HR)-negative breast, colorectal, esophageal, gallbladder, gastric, head and neck, hepatobiliary, lung, lymphoid leukemia, lymphoma, multiple myeloma, ovarian, and pancreatic (937 cancer [all stages]). A cross-validated targeted methylation test evaluated cfDNA for predictability of cancer presence and TOO; precision defined as the fraction of correct calls. Breast and lung cancer subtypes were also assessed. All analyses targeted 99.4% specificity (0.6% false-positive rate). Results Participants with and without cancer were similar in age. Specificity was set to 99.4%. For the prespecified multi-cancer group, overall sensitivity was 76% (73-78): stage I 32% (25-40), stage II 76% (69-82), stage III 85% (80-89), and stage IV 93% (89-95). Among all samples, overall sensitivity was 55% (52-57%): stage I 19% (15-23%), stage II 43% (38-48%), stage III 78% (73-82%), and stage IV 90% (86-93%). Overall TOO precision for the multi-cancer group and all samples was 89%, and was similar across stages. Squamous-cell and small-cell lung cancer had higher sensitivity than adenocarcinoma: 84% (75-91) vs 83% (69-92) vs 58% (49-67); HR-negative had higher sensitivity than HR-positive breast cancer: 66% (53-77) vs 20% (15-27). Conclusions This targeted methylation assay detected cancer signal across >20 cancer types with a single, fixed, low false positive rate and highly accurate TOO localization. These data support the feasibility of a single test that can screen for multiple cancers. Clinical trial identification NCT02889978, NCT03085888. Editorial acknowledgement Sarah Prins, PhD (GRAIL, Inc.), and Megan P. Hall, PhD (GRAIL, Inc.). Legal entity responsible for the study GRAIL, Inc. Funding GRAIL, Inc. Disclosure G.R. Oxnard: Advisory / Consultancy, Officer / Board of Directors: Inivata; Honoraria (self): Guardant Health; Honoraria (self): Sysmex; Honoraria (self): Bio-Rad; Advisory / Consultancy: DropWorks; Advisory / Consultancy: AstraZeneca; Advisory / Consultancy: GRAIL, Inc.. E.A. Klein: Advisory / Consultancy: GRAIL, Inc.; Advisory / Consultancy: Genomic Health; Advisory / Consultancy: GenomeDx Biosciences. M.V. Seiden: Shareholder / Stockholder / Stock options, Full / Part-time employment: McKesson. E. Hubbell: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. O. Venn: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. A. Jamshidi: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc.; Shareholder / Stockholder / Stock options: Illumina. N. Zhang: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. J.F. Beausang: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. S. Gross: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. K.N. Kurtzman: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc.; Shareholder / Stockholder / Stock options: Illumina. E.T. Fung: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. B. Allen: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. A.P. Fields: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. H. Liu: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. A.M. Aravanis: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. A. Hartman: Shareholder / Stockholder / Stock options, Full / Part-time employment: GRAIL, Inc. M.C. Liu: Honoraria (institution): GRAIL, Inc. All other authors have declared no conflicts of interest.

Previous studies on transplanted tissue or single cancers indicated that cfDNA variant fragment lengths reflect their respective source. The Circulating Cell-free Genome Atlas (NCT02889978) study provides an opportunity to examine cfDNA variant fragment lengths across tumor types and describe the nature of cfDNA variants derived from different sources. Blood samples (N=1406) were evaluated from participants with (n=845) and without (n=561) cancer; cancer samples included 339 breast, 118 lung, 69 prostate, 45 colorectal, 27 uterine, 26 pancreas, 26 renal, 24 esophageal, 22 lymphoma, 19 head/neck, and 17 ovarian (113 remaining samples represented cancers with ≤15 samples each). cfDNA and genomic DNA from white blood cells (WBC) were subjected to a high-intensity targeted panel (507 genes, 60000X) with error-corrected sequencing; 533 samples also had matched tumor biopsy tissue subjected to whole-genome sequencing (30X). Somatic single-nucleotide variants (SNVs; that passed noise filters) were identified and classified using the sequencing results into one of four categories: tumor biopsy-matched (TBM; present in cfDNA and biopsy), WBC-matched (WM; present in cfDNA and WBC), non-matched (NM; low probability [P A total of 21604 SNVs were identified. The proportion of SNVs from each category were: 4% TBM, 68% WM, 19% NM, and 8% AMB. The number of samples (non-mutually exclusive) that had each SNV category were 152 TBM, 1338 WM, 499 NM, and 761 AMB. Across categories, the median (SD) length of fragments containing the reference allele was 167 (16.3). Median (SD) fragment lengths of TBM, WM, NM, and AMB were 156 (22.2), 169 (14.8), 158 (20.8), and 165 (17.8), respectively. AMB and WM median SNV fragment lengths were similar to that of the reference allele, suggesting that fragment length shifts are minimal in SNVs derived from clonal hematopoiesis (CH). Fragment lengths of TBM and NM SNVs were similar; further, most NM SNVs came from cfDNA samples in the cancer cohort, suggesting that NM SNVs may be tumor-derived. As expected in a population with a median (SD) age of 61 (12.2), most SNVs occurred in the WM category. The prediction model distinguished TBM from WM SNVs with an AUC of 0.87. However, at a specificity of 98% (to match filtering based on WBC sequencing), false-negative rates were 35% (TBM) and 52% (NM). Together, these data suggest that source prediction based on fragment length alone is less robust than source assignment using individual-matched WBC sequencing, highlighting the importance of accounting for CH-derived SNVs when using targeted cfDNA-based approaches for cancer detection. Citation Format: Earl Hubbell, Tara Maddala, Oliver Venn, Eric Scott, Susan Tang, Archana Shenoy, Alex Aravanis. Cell-free DNA (cfDNA) fragment length patterns of tumor- and blood-derived variants in participants with and without cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3372.

CCGA [NCT02889978] is the largest study of cfDNA-based early cancer detection; the first CCGA learnings from multiple cfDNA assays are reported here. This prospective, multi-center, observational study has enrolled 10,012 of 15,000 demographically-balanced participants at 141 sites. Blood was collected from participants with newly diagnosed therapy-naive cancer (C, case) and participants without a diagnosis of cancer (noncancer [NC], control) as defined at enrollment. This preplanned substudy included 878 cases, 580 controls, and 169 assay controls (n=1627) across 20 tumor types and all clinical stages. All samples were analyzed by: 1) Paired cfDNA and white blood cell (WBC)-targeted sequencing (60,000X, 507 gene panel); a joint caller removed WBC-derived somatic variants and residual technical noise; 2) Paired cfDNA and WBC whole-genome sequencing (WGS; 35X); a novel machine learning algorithm generated cancer-related signal scores; joint analysis identified shared events; and 3) cfDNA whole-genome bisulfite sequencing (WGBS; 34X); normalized scores were generated using abnormally methylated fragments. In the targeted assay, non-tumor WBC-matched cfDNA somatic variants (SNVs/indels) accounted for 76% of all variants in NC and 65% in C. Consistent with somatic mosaicism (i.e., clonal hematopoiesis), WBC-matched variants increased with age; several were non-canonical loss-of-function mutations not previously reported. After WBC variant removal, canonical driver somatic variants were highly specific to C (e.g., in EGFR and PIK3CA, 0 NC had variants vs 11 and 30, respectively, of C). Similarly, of 8 NC with somatic copy number alterations (SCNAs) detected with WGS, 4 were derived from WBCs. WGBS data revealed informative hyper- and hypo-fragment level CpGs (1:2 ratio); a subset was used to calculate methylation scores. A consistent “cancer-like” signal was observed in 99% specificity for invasive cancer, and support the promise of cfDNA assay for early cancer detection. Additional data will be presented on detected plasma:tissue variant concordance and on multi-assay modeling. Citation Format: Alexander A. Aravanis, Geoffrey R. Oxnard, Tara Maddala, Earl Hubbell, Oliver Venn, Arash Jamshidi, Ling Shen, Hamed Amini, John A. Beausang, Craig Betts, Daniel Civello, Konstantin Davydov, Saniya Fazullina, Darya Filippova, Sante Gnerre, Samuel Gross, Chenlu Hou, Roger Jiang, Byoungsok Jung, Kathryn Kurtzman, Collin Melton, Shivani Nautiyal, Jonathan Newman, Joshua Newman, Cosmos Nicolaou, Richard Rava, Onur Sakarya, Ravi Vijaya Satya, Seyedmehdi Shojaee, Kristan Steffen, Anton Valouev, Hui Xu, Jeanne Yue, Nan Zhang, Jose Baselga, Rosanna Lapham, Daron G. Davis, David Smith, Donald Richards, Michael V. Seiden, Charles Swanton, Timothy J. Yeatman, Robert Tibshirani, Christina Curtis, Sylvia K. Plevritis, Richard Williams, Eric Klein, Anne-Renee Hartman, Minetta C. Liu. Development of plasma cell-free DNA (cfDNA) assays for early cancer detection: first insights from the Circulating Cell-Free Genome Atlas Study (CCGA) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr LB-343.

LBA8501 Background: Plasma cfDNA genomic analysis is used widely for the care of advanced lung cancer, but its suitability for early stage lung cancer detection is not well established. CCGA (NCT02889978) is a prospective, multi-center, observational study launched for the development of a noninvasive assay for cancer detection. Methods: Blood was prospectively collected (N = 1627) from 749 controls (no cancer diagnosis) and 878 participants (pts) with newly-diagnosed untreated cancer in this preplanned substudy, including 127 pts with lung cancer. Three prototype sequencing assays were performed: paired cfDNA and white blood cell (WBC) targeted sequencing (507 genes, 60,000X) for single nucleotide variants/indels; paired cfDNA and WBC whole genome sequencing (WGS) for copy number variation (30X); and cfDNA whole genome bisulfite sequencing (WGBS) for methylation (30X). For each assay, a classification model using 10-fold cross-validation was developed for all pts with cancer, then evaluated in the pts with lung cancer; sensitivity was estimated at 95% specificity. Results: We evaluated pts with lung cancer (127) and a subset of controls (580) with similar ages (mean±SD yrs: 67±9, 60±13), 85% and 43% were ever-smokers, and 46% and 22% were men, respectively. Of 3055 nonsynonymous mutations detected across 122 evaluable pts with lung cancer, > 50% were detected in WBC consistent with clonal hematopoiesis (CH). Accounting for CH, sensitivity in 63 stage I-IIIA pts evaluable across all 3 assays was 48% (35-61, targeted), 54% (41-67, WGS), and 56% (43-68, WGBS); in 54 stage IIIB-IV pts it was 85% (73-93, targeted), 91% (80-97, WGS), and 93% (82-98, WGBS) . Similar sensitivities were observed across histological subtypes (adenocarcinoma, squamous cell, small cell). Comparison to tumor WGS and multi-assay classification will be reported. Conclusions: Early stage lung cancers are detectable in cfDNA using a genome-wide sequencing approach. For lung cancer detection using targeted assays, CH must be accounted for to minimize false positives. Assay optimization is ongoing to allow further clinical development in the intended use population. Clinical trial information: NCT02889978.

12003Background: CHIP is defined by the presence of age-dependent acquired mutations in hematopoietic progenitor cells and has been reported to occur in up to 30% of individuals 60-70 years of age....

536Background: New breast cancer screening approaches are needed to detect clinically aggressive subtypes that may not be detected by mammography or are detected late in unscreened populations. CCG...

11526 Background: A large fraction of cfDNA fragments are derived from hematopoietic sources. Somatic alterations in cfDNA can be tumor-derived but also could represent somatic changes associated with clonal hematopoiesis. We performed deep sequencing of both plasma cfDNA and matched white blood cell (WBC) genomic DNA (gDNA) to determine the contribution of clonal hematopoiesis to the variants observed in cfDNA. Four cohorts were investigated: metastatic breast (BC), non-small cell lung (NSCLC), castration-resistant prostate cancer (CRPC), and non-cancer participants (pts). Methods: Metastatic cancer pts with de novo or progressive disease were prospectively enrolled. Non-cancer pts were blood bank donors. Plasma cfDNA and matched WBC gDNA were sequenced using a targeted 508-gene panel (2 Mb) to > 60,000X raw depth. Variant calling used a novel pipeline that employed molecular barcoding for error suppression followed by de novo assembly and graph-based variant calling. Results: Of 151 metastatic cancer pts (48 BC, 49 NSCLC, 54 CRPC), median age was 64 (30-87) with 53% female and 33% treatment naive. Of 47 non-cancer pts, median age was 61 (20-78) with 51% female. Analysis of cfDNA identified 1072 variants (AF > 0.1%, > 2 mutant reads, passing bioinformatic quality filters) which were also detected in WBC gDNA as non-germline ( < 35% allele frequency [AF]) non-synonymous variants. For these cfDNA variants, AF ranged from 0.1-14.4% and correlated with AF in WBC gDNA (r2 = 0.47, p < 0.001). Mutated genes were consistent with clonal hematopoiesis, with the most frequently mutated genes being DNMT3A, TET2, PPM1D, and TP53 (215, 77, 45, and 36 variants, respectively). For both cancer and non-cancer pts (age > 45), median number of overlapping variants was 5 per pt (range 0-22). The number of WBC gDNA and cfDNA variants per individual was positively associated with age (p < 0.001) in both cancer and non-cancer pts (interaction p = 0.08). Conclusions: Somatic cfDNA variants are frequently derived from clonal hematopoiesis and increase with age. Accurate assessment of somatic alterations in cfDNA should account for this phenomenon to distinguish between tumor-derived and WBC-derived variants.