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번호 년도 제목 저널명 링크
3 2024

Multi-feature cell free DNA analysis and ensemble machine learning for early detection of cancer

Background Early cancer detection is crucial for reducing mortality rates, but current screening methods vary widely in age, intervals, and invasiveness. Unfortunately, over 50% of cancer deaths occur in types without recommended screening tests. Non-invasive multi-cancer early detection (MCED) technology could provide a solution.   Methods We enrolled both healthy individuals (398) and patients diagnosed with stage I-IV colon (107), liver (113), lung (213), prostate cancer (92), gastric (100), pancreatic (113), breast (74), and ovarian (87) cancers for the development of the Multi-Cancer Early Detection (MCED) test. Whole-genome methylation sequencing was performed on tumor and normal tissues at 15X coverage for marker selection, while cell-free DNA was sequenced at 30X coverage to construct the machine learning model. We calculated three genome-wide features: methylation, copy number variation, and fragment-based patterns. For the training set, which comprised 60% of the samples, support vector machine (SVM) algorithms were applied to these features, and ensemble logistic regression was employed to identify cancer signals and tissue-of-origin (TOO) based on scores fr|om the single-feature models. To determine the minimum yield that maintains equivalent performance, we downsampled a 50% fraction of reads fr|om each cfDNA sequencing dataset.   Results The overall sensitivity of the cancer detection model was 85.7% at the specificity of 95.6%, and TOO accuracy was 81.1%. The sensitivity performance for cancers without recommended screening tests previously, such as pancreatic (83.9%) and ovarian (79.7%) cancer, has also been maintained at a high sensitivity level. In-silico analysis confirmed that reducing coverage to 15X, half of the original, maintains high performance in sensitivity and specificity, significantly lowering data processing requirements. Conclusions Proposed MCED method for eight types of cancer, including pancreatic, and ovarian cancer, which were previously difficult to diagnose early, performs with high sensitivity. The reduced coverage of 15X can lower sequencing costs and increase patient accessibility.  

ESMO

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2 2023

Personalized circulating tumor DNA assay precisely predicts the response of neoadjuvant chemotherapy in breast cancer patients

Abstract Introduction  Circulating tumor DNA (ctDNA), which is detected in the blood as cell free DNA fragment fr|om tumor cells, could indicates genomic landscape, tumor burden and treatment response during chemotherapy as a non-invasive method. Especially, personized ctDNA assay by next-generation sequencing(NGS) is able to detect a trace amount of ctDNA and precisely figure out the change of the amount of ctDNA during NAC and follow up period after curative surgery. Here, we performed serial ctDNA evaluations in EBC patients who diagnosed as TNBC or HER2-positive BC and received NAC followed by curative surgery. We aimed to predict NAC response and detect minimal residual disease (MRD) using personalized ctDNA assay.    Methods  CtDNA was detected by AlphaLiquid®Detect, a tumor-informed personalized MRD detection assay exploring most of the mutations in tumor. Whole exome sequencing (WES) of tumor tissue and peripheral blood mononuclear cells (PBMCs) was performed. Patient-specific somatic mutations were selected using a proprietary algorithm. In brief, clonal variants were prioritized using integrated information including variant allele frequency, population allele frequency databases, somatic variant databases, variant pathogenicity, and genomic context. Up to 100 variants were selected for patient monitoring. A hybridization capture panel consisting of a pool of 4 patients’ selected variants was synthesized. These bespoke panels (BSPs) were used for ctDNA detection. Patients with more than 2 tumor-derived mutations detected in plasma were considered as ctDNA positive. Inclusion criteria included patient who diagnosed as stage IIA-IIIC BC planned to NAC followed by curative surgery. Among BC subtypes, TNBC and HER2-positive BC were allowed. Collection of specimens and associated clinical data used in this study was approved by the Institutional Review Board of Samsung Medical Center (IRB File No.2021-02-033), and we received informed consents for this study.    Results  fr|om May 2021 to Sep 2022, 158 patients has been enrolled. Archival tissues were not available in 47 patients and tissue WES had failed in six patients. Therefore, 105 patients were enrolled and analyzed their ctDNA at diagnosis based on tissue WES data. Of 105 patients, Median age of BC patients was 49.3 years of age (range: 26.1, 67.8). Thirty-six patients (34.3%) were post-menopausal status and others (65.7%) were pre-menopausal status. In BC pathology at diagnosis, 56 (53.3%) were TNBC and other 49 (46.7%) were HER2-positive BC. Among HER2-positive BC, hormone receptor (HR)-positive were in 21 (20.0%). In clinical stage at diagnosis, stage II were 46 (43.8%) and stage III in 59 (56.2%). In 105 patients, median number of somatic mutations was 60 (interquartile range [IQR]: 38.5, 91). CtDNA detection rate at BC diagnosis was 90.5% and all of BC which not be detected ctDNA was HER2-positive BC with clinical stage II. Median amount of ctDNA at diagnosis was 20 (IQR: 6, 44). In the number of somatic mutations, there was no difference according to BC subtypes (P=0.121) and clinical stage (P=0.700) but the amounts of ctDNA at diagnosis was different. CtDNA was much more detected in TNBC compared to HER2-positive BC (Median: 34.5 vs. 15.9; P< 0.001) and clinical stage III compared to clinical stage II (Median 33.2 vs. 19.5; P=0.002). After NAC, ctDNA at curative surgery was tested in 70 patients. In 70 patients, pathologic complete response(pCR) was observed in 44 patients. CtDNA was detected in ten patients (14.3%) and eight did not achieve pCR and two with pCR (Specificity of assay: 95.5%, positive predictive value: 0.80, P=0.032).    Conclusions  Personalized ctDNA assay can precisely detected ctDNA at diagnosis and their detection rate was associated with BC subtypes and clinical stage. In addition, ctDNA at curative surgery also can predict NAC response in EBC patients. Long term ctDNA follow up of MRD would be warranted.

SABCS

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1 2022

381P A tumor-informed, hybrid-capture based ctDNA assay for minimal residual disease (MRD) detection in colorectal cancer (CRC) patients after curative surgery

Background MRD detection using ctDNA analysis after curative treatment may help identify patients at higher risk of relapse and improve treatment outcomes by enabling personalized treatment.We have analyzed the clinical performance of a recently developed tissue-informed, hybrid-capture NGS-based ctDNA MRD assay in CRC. Methods Patients with stage II-III CRC treated with standard care surgery and/or adjuvant therapy with archived surgical tissue and preoperative and postoperative 3-week plasma samples were selected fr|om a multi-center, prospective CRC cohort.For ctDNA MRD assay, AlphaLiquid Detect (IMBdx, Seoul, Korea) was used. It builds a personalized ctDNA panel for each patient including most of the variants meeting prespecified criteria found in tissue whole exome-sequencing data sequenced at ∼200-300x. Variants with clinical importance and high allele frequency are prioritized over potential germline variant sites and low mappability regions. A hybrid-capture based NGS data is generated for cell-free DNA at >100,000x to find ctDNA at a limit of detection <0.005%. Results A total of 71 patients (stage II/III 27(38.0%)/44(62.0%)) were successfully analyzed. 55 (77.5%) patients were treated with adjuvant therapy after surgery, and 3-year recurrence-free survival rate (RFS) was 67.5%. Personalized panels based on WES results included a median of 61 (6-166) mutations per patient. Using a cutoff value of 2 or more mutations for MRD positivity, 61/70 (87.1%) and 13/71 (18.3%) patients were confirmed to have ctDNA mutations exceeding the threshold fr|om their preoperative and postoperative plasma samples, respectively. The postoperative MRD positivity was strongly associated with poor RFS (HR = 8.23, 95% CI 3.3 – 21, p < 0.001). A simulation study sub-selecting fewer variants in the pre-designed panels showed a substantial decrease in the sensitivity but minimal changes in specificity, demonstrating the strength of the assay targeting entire variants fr|om each patient. Conclusions MRD positivity as determined by the tumor-informed, hybrid-capture based ctDNA assay showed a strong association with poor RFS in CRC.

ESMO 2022

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