Circulating Tumor DNA as a Biomarker for Outcomes Prediction in Colorectal Cancer Patients

2020 ◽  
Vol 21 ◽  
Author(s):  
Angelica Petrillo ◽  
Massimiliano Salati ◽  
Dario Trapani ◽  
Michele Ghidini
Keyword(s):  
Colorectal Cancer ◽  
Residual Disease ◽  
Early Stage ◽  
Recurrence Risk ◽  
Early Response ◽  
Circulating Tumor Dna ◽  
Response To Treatment ◽  
Molecular Profile ◽  
Liquid Biopsies ◽  
Tissue Biopsy

Abstract:: Circulating tumour DNA (ctDNA) is a novel tool that has being investigated in several types of tumours, includ-ing colorectal cancer (CRC). In fact, the techniques based on liquid biopsies are proposed as appealing non-invasive alter-natives to tissue biopsy, adding more insights into tumour molecular profile, heterogeneity and for cancer detection and monitoring. Additionally, some analysis showed that in CRC patients ctDNA seems to act as biomarker able to predict the outcome (prognostic role) and the response to treatments (predictive role). In particular, in the early stage CRC (stage I-III) it could represent a time marker of adjuvant therapy benefit as well as a marker of minimal residual disease and recurrence risk in addition to the already recognized risk factors. In metastatic CRC, the analysis of molecular tumour profile by ctDNA has shown to have high concordance with the tissue biopsy at diagnosis. Additionally, some studies demonstrated that ctDNA level during the treatment was linked with early response to treatment and prognosis. Finally, the quantitative anal-ysis of ctDNA and copy number alterations may be useful in order to detect resistance to therapy at the time of progression of disease and to help in finding new therapeutic targets.

Tumor-informed assessment of molecular residual disease and its incorporation into practice for patients with early and advanced-stage colorectal cancer (CRC-MRD Consortia).

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 4108-4108 ◽  
Author(s):  
Pashtoon Murtaza Kasi ◽  
Farshid Dayyani ◽  
Van K. Morris ◽  
Scott Kopetz ◽  
Aparna Raj Parikh ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Metastatic Disease ◽  
Residual Disease ◽  
Early Stage ◽  
Circulating Tumor Dna ◽  
Response To Treatment ◽  
Chi Square ◽  
Multiplex Pcr Assay ◽  
Crc Management ◽  
First Time

4108 Background: Circulating tumor DNA (ctDNA) testing can be used for the assessment of molecular residual disease (MRD) in patients with early-stage or advanced colorectal cancer (CRC). Prospective evaluation of this methodology in clinical practice has been limited to-date. Methods: A personalized and tumor-informed multiplex PCR assay (Signatera 16-plex bespoke mPCR NGS assay) was used for the detection and quantification of ctDNA for MRD assessment. We analyze and present results from an ongoing early adopter program of ctDNA testing across the spectrum of CRC management. Results: Here we present a total of 250 patients with colon (n=200), rectal (n=40), and other lower gastrointestinal cancers (n =10; anal, appendiceal, small bowel). MRD positivity rates and ctDNA quantification (mean tumor molecules/mL) are shown in Table. ctDNA detection was significantly associated with stage of disease (p<0.0001 Chi-square: 70.33). Additionally, in patients with radiologically measurable active metastatic disease, ctDNA detection rate was 100%. On the contrary, patients with advanced/metastatic disease who had partial response to treatment or no evidence of disease (NED) showed 28.5% and 19.2% of ctDNA-positivity, respectively. Conclusions: This is the first large, real-world study reporting on the results from a clinically validated MRD assay. For the first time we delineate MRD rates and quantify ctDNA concentration in patients with early-stage and advanced CRC. Furthermore, we provide an initial readout that effective ongoing treatment in patients with CRC may be correlated with ctDNA clearance. Ongoing analysis expanded to a cohort of 1200 clinical cases including correlation with genomic and serial testing will be presented. [Table: see text]

scholarly journals ctDNA to Guide Adjuvant Therapy in Localized Colorectal Cancer (CRC)

Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2869
Author(s):  
Laura Masfarré ◽  
Joana Vidal ◽  
Concepción Fernández-Rodríguez ◽  
Clara Montagut
Keyword(s):  
Colorectal Cancer ◽  
Clinical Trials ◽  
Adjuvant Chemotherapy ◽  
Residual Disease ◽  
Early Stage ◽  
Recurrence Risk ◽  
Circulating Tumor Dna ◽  
Key Points ◽  
The Impact ◽  
Critical Overview

Currently, the standard treatment for patients with localized colorectal cancer (CRC) includes surgical resection followed by adjuvant chemotherapy based on clinicopathological features. Recurrence risk stratification in those patients is of utmost importance to guide clinicians to avoid both under- and overtreatment. Recently, the concept of minimal residual disease (MRD) has emerged as the detection of circulating tumor DNA (ctDNA) carrying tumor-specific genomic or epigenomic alterations in the bloodstream of patients after surgery. Emerging studies described how the detection of MRD is a powerful prognostic biomarker to identify patients at higher risk of recurrence and who will potentially benefit the most from a systemic adjuvant treatment. Based on that unprecedented finding, several clinical trials involving stage II and III CRC patients are ongoing evaluating the impact of ctDNA guided treatment by escalating or deescalating adjuvant chemotherapy based on ctDNA MRD detection. This review provides a critical overview of current perspectives of liquid biopsy in early-stage CRC including technical, biological, and clinical key points, as well as ongoing ctDNA-based clinical trials that ultimately aim to improve clinical outcomes of patients with CRC.

A plasma-only integrated genomic and epigenomic circulating tumor DNA (ctDNA) assay to inform recurrence risk in colorectal cancer (CRC).

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 3602-3602 ◽  
Author(s):  
Aparna Raj Parikh ◽  
Emily E. Van Seventer ◽  
Genevieve Marie Boland ◽  
Anna Hartwig ◽  
Ariel Jaimovich ◽  
...  
Keyword(s):  
High Risk ◽  
Standard Therapy ◽  
Residual Disease ◽  
Early Stage ◽  
Recurrence Risk ◽  
Disease Recurrence ◽  
Circulating Tumor Dna ◽  
Entire Cohort ◽  
Therapy Decision ◽  
Therapy Completion

3602 Background: ctDNA identifies patients (pts) at high risk for disease recurrence post CRC resection (post-op). Current ctDNA residual disease detection approaches assess only genomic alterations (alts) and rely on tissue sequencing to identify tumor-derived alts. We evaluated a plasma-only ctDNA assay to identify high risk pts. Methods: 72 CRC pts (surgery only = 42; adjuvant therapy (adj) = 30) had post-op and/or post-adj plasma samples (3-4mL). Extracted cfDNA (median 27 ng) was analyzed using a single-sample NGS test validated in early stage CRC that integrates assessment of genomic alts with epigenomic cancer signature (Guardant Health, CA). A variant classifier was applied to differentiate tumor-derived from non-tumor derived alts in a tumor tissue-uninformed approach. Results: In the surgery cohort, samples were collected a median of 31 days (d) post-op. 7/8 pts with post-op ctDNA detected (ctDNA+) recurred (PPV 88%; median time to recurrence (mTTR) 248d). The recurrence-free pt has < 180d follow-up. 7/34 pts without ctDNA detected (ctDNA-) recurred (NPV 79%; mTTR 333d). 1/1 Stage 0-II ctDNA+ pt recurred (PPV 100%; TTR 440d) while 1/20 ctDNA- recurred (NPV 95%; TTR 440d). 27 pts in the adj cohort had samples collected a median of 37d post-adj. 6/6 ctDNA+ pts recurred (PPV 100%, mTTR 239d). 4/21 ctDNA- pts recurred (NPV 81%, mTTR 466d). 2/2 ctDNA+ and 0/11 ctDNA- Stage III pts recurred (PPV, NPV 100%, mTTR 420d). All 3 post-op ctDNA+/post-adj ctDNA+ (ctDNA persistence) pts recurred. 1/2 post-op ctDNA+/post-adj ctDNA- (ctDNA clearance) pts is recurrence free (306d). 2 post-op ctDNA-/post-adj ctDNA+ pts recurred. In the entire cohort, ctDNA+ after standard therapy completion had a recurrence PPV 93%, NPV 80%, HR 11.29 (p < 0.0001). Conclusions: In post-op CRC, ctDNA detection utilizing a tumor-uninformed integrated genomic and epigenomic assay has high recurrence PPV and NPV following standard therapy completion. ctDNA identifies pts who may benefit from post-op adj therapy or additional/modified post-adj therapy. These findings demonstrate that ctDNA detection from a single post-op/post-adj plasma sample stratifies high/low risk pts and informs therapy decision making.

Use of circulating tumor DNA in colorectal cancer patients to assess tumor burden and response to therapy: An observational study.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 3528-3528
Author(s):  
Erin L. Symonds ◽  
Susanne Kartin Pedersen ◽  
Bernita Hui Li Yeo ◽  
Hiba Al Naji ◽  
Susan E. Byrne ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Tumor Size ◽  
Residual Disease ◽  
Early Stage ◽  
Circulating Tumor Dna ◽  
Tumor Burden ◽  
Post Treatment ◽  
Response To Therapy ◽  
Maximum Diameter ◽  
Curative Intent

3528 Background: Residual disease after treatment for colorectal cancer (CRC) poses a risk for recurrence but imaging and CEA are limited in their capacity to detect residual disease. A simple test is needed for assessing treatment response. This study determined whether levels of methylated BCAT1/IKZF1 DNA in blood correlate with tumor burden and whether post-treatment levels inform efficacy of different treatments for CRC. Methods: Patients with primary CRC had blood collected prior to treatment (n = 282, 59.9% males, median age 68.5y). Cell free DNA (cfDNA) was extracted from plasma and assayed for methylation in BCAT1 and IKZF1. Detection of methylation in either gene deemed a sample positive; levels were expressed as %methylation (average methylation/average cfDNA). Positive patients had additional samples collected post-treatment for early stage CRC (surgery, n = 31), advanced/metastatic CRC (surgery + adjuvant chemotherapy, n = 15), and rectal cancer (neoadjuvant therapy, surgery +/- chemotherapy, n = 6), or following mid-therapy suspension of treatment in advanced CRC (n = 24). Tumor size was expressed as the maximum diameter of the primary (assessed surgically or by MRI). Results: Pretreatment results increased with CRC stage. Positivity by stage was: I, 23.7% (14/59); II, 62.1% (54/87); III, 68.6% (70/102); IV, 85.3% (29/34). Level by stage: I, 0.0%; II, 0.06%; III, 0.07%; IV, 4.07%, p < 0.001). Pretreatment levels correlated significantly with tumor size (r = 0.372, p < 0.001). Post-treatment blood was collected a median 2.4mo (IQR 1.7-3.9) after therapy completion. Positivity decreased after completing treatment (Table), with 88.4% of cases (46/52) becoming ctDNA negative. All cases with complete treatment had a reduction in biomarker levels, whereas in those with incomplete therapy, 54.5% (12/22) remained positive and the pre- and post-treatment levels were not significantly different. Of those positive after treatment, 13 had a further blood sample: 8 had become ctDNA negative and all but one remained disease free. Five remained positive and all had further suspected or confirmed disease. Conclusions: Levels of methylated BCAT1 and IKZF1 DNA in blood correlated with tumor burden; levels became undetectable in the majority of patients following completion of planned curative intent treatment. The methylated ctDNA blood test aids monitoring of responses to therapy and identification of those cases with residual cancer who might benefit from ongoing therapy.[Table: see text]

Sensitive detection of microsatellite instability in tumors and liquid biopsies using nuclease-based enrichment.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15117-e15117
Author(s):  
Ioannis Ladas ◽  
Harvey J. Mamon ◽  
Kimmie Ng ◽  
Fangyan Yu ◽  
Ka Wai Leong ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patients ◽  
Residual Disease ◽  
Early Stage ◽  
Dna Amplification ◽  
Detection Sensitivity ◽  
Sensitive Detection ◽  
Circulating Dna ◽  
Liquid Biopsies ◽  
Blood Draw

e15117 Background: The role of MSI in colorectal cancer (CRC) is well characterized, and tumors are classified as MSI-High or MSI-Stable by screening specific microsatellites. MSI-H reflects mismatch repair deficiency, is predictive for CRC therapy outcome in chemotherapy and immunotherapy and has a higher 5-year survival. While tumor testing is the gold standard, a convenient approach to screen for MSI before and during cancer treatment is screening circulating DNA (liquid biopsy) using a blood draw. However, using electrophoresis or next generation sequencing for MSI detection presents challenges at low levels of MSI due to polymerase slippage (‘stutter’) that generate high false positive rates at positions of homo-polymers. We present a new approach for enrichment of altered micro-satellites prior to DNA-amplification thereby reducing stutter from wild-type alleles and facilitating detection of MSI. The method employs a double-strand-DNA-specific nuclease and overlapping oligonucleotide-probes interrogating multiple micro-satellite targets (‘NaMe-PrO’, nuclease-assisted minor-allele enrichment with probe-overlap). Following DNA denaturation, the probes form double-stranded regions with their targets, thereby guiding nuclease digestion to selected sites. Microsatellite indels create ‘bulges’ that inhibit digestion, thus subsequent amplification yields DNA with microsatellite alterations enhanced at multiple targets. Methods: We first validated the method by evaluating 5 MSI targets simultaneously, NR27, NR21, NR24, BAT25 and BAT26 using DNA from tumor biopsies and circulating-DNA from colorectal cancer patients. The technique detected microsatellite alterations down to 0.01% altered allele frequency, thus improving detection sensitivity by > 100-fold relative to current approaches. Next, a clinical study was performed. We screened microsatellites in circulating DNA from groups of early stage colon cancer patients with known MSI status in the tumor. Results: Combination of NAME-PRO with capillary electrophoresis demonstrated 100% sensitivity (10/10) and 90% specificity (9/10) in detecting MSI status in the blood, thereby opening the possibility of early cancer detection for MSI positive tumors, or for application in minimal residual disease detection. Conclusions: We anticipate application of this highly- multiplex-able method either with standard 5-plex reactions or with NGS-based detection of MSI on thousands of targets to enable sensitive detection in tumors and liquid biopsies.

scholarly journals Resectable Colorectal Cancer: Current Perceptions on the Correlation of Recurrence Risk, Microbiota and Detection of Genetic Mutations in Liquid Biopsies

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3522
Author(s):  
Andreas Koulouris ◽  
Christos Tsagkaris ◽  
Ippokratis Messaritakis ◽  
Nikolaos Gouvas ◽  
Maria Sfakianaki ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Recurrence Risk ◽  
Disease Recurrence ◽  
Circulating Tumor Dna ◽  
Genetic Mutations ◽  
Liquid Biopsies ◽  
Molecular Alterations ◽  
Life Saving ◽  
Novel Biomarkers ◽  
Genetic Signatures

Metastatic colorectal cancer (mCRC) remains a highly lethal malignancy, although considerable progress has resulted from molecular alterations in guiding optimal use of available treatments. CRC recurrence remains a great barrier in the disease management. Hence, the spotlight turns to newly mapped fields concerning recurrence risk factors in patients with resectable CRC with a focus on genetic mutations, microbiota remodeling and liquid biopsies. There is an urgent need for novel biomarkers to address disease recurrence since specific genetic signatures can identify a higher or lower recurrence risk (RR) and, thus, be used both as biomarkers and treatment targets. To a large extent, CRC is mediated by the immune and inflammatory interplay of microbiota, through intestinal dysbiosis. Clarification of these mechanisms will yield new opportunities, leading not only to the appropriate stratification policies, but also to more precise, personalized monitoring and treatment navigation. Under this perspective, early detection of post-operative CRC recurrence is of utmost importance. Ongoing trials, focusing on circulating tumor cells (CTCs) and, even more, circulating tumor DNA (ctDNA), seem to pave the way to a promising, minimally invasive but accurate and life-saving monitoring, not only supporting personalized treatment but favoring patients’ quality of life, as well.

scholarly journals Colorectal Cancer Blood-Based Biomarkers

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Nina Hauptman ◽  
Damjan Glavač
Keyword(s):  
Colorectal Cancer ◽  
Early Detection ◽  
Sensitivity And Specificity ◽  
Screening Test ◽  
Early Stage ◽  
High Sensitivity ◽  
Recurrence Risk ◽  
Liquid Biopsies ◽  
Mortality And Morbidity ◽  
Potential Biomarkers

Mortality and morbidity associated with colorectal cancer (CRC) are increasing globally, partly due to lack of early detection of the disease. The screening is usually performed with colonoscopy, which is invasive and unpleasant, discouraging participation in the screening. As a source of noninvasive and easily accessible biomarkers, liquid biopsies are emerging. Blood-based biomarkers have the potential as diagnostic and prognostic tool in CRC. Early stage detection of CRC with high sensitivity and specificity would likely lead to higher participation in the screening test. It would also improve the prognosis of the disease and improve the recurrence risk. In this review, we summarize the potential biomarkers for early detection and monitoring of CRC.

scholarly journals Emerging Lab-on-a-Chip Approaches for Liquid Biopsy in Lung Cancer: Status in CTCs and ctDNA Research and Clinical Validation

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2101
Author(s):  
Ângela Carvalho ◽  
Gabriela Ferreira ◽  
Duarte Seixas ◽  
Catarina Guimarães-Teixeira ◽  
Rui Henrique ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Liquid Biopsy ◽  
Residual Disease ◽  
Lab On A Chip ◽  
Microfluidic Devices ◽  
Early Recurrence ◽  
Circulating Tumor Dna ◽  
Clinical Validation ◽  
Liquid Biopsies ◽  
Lung Cancer Patients

Despite the intensive efforts dedicated to cancer diagnosis and treatment, lung cancer (LCa) remains the leading cause of cancer-related mortality, worldwide. The poor survival rate among lung cancer patients commonly results from diagnosis at late-stage, limitations in characterizing tumor heterogeneity and the lack of non-invasive tools for detection of residual disease and early recurrence. Henceforth, research on liquid biopsies has been increasingly devoted to overcoming these major limitations and improving management of LCa patients. Liquid biopsy is an emerging field that has evolved significantly in recent years due its minimally invasive nature and potential to assess various disease biomarkers. Several strategies for characterization of circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) have been developed. With the aim of standardizing diagnostic and follow-up practices, microfluidic devices have been introduced to improve biomarkers isolation efficiency and specificity. Nonetheless, implementation of lab-on-a-chip platforms in clinical practice may face some challenges, considering its recent application to liquid biopsies. In this review, recent advances and strategies for the use of liquid biopsies in LCa management are discussed, focusing on high-throughput microfluidic devices applied for CTCs and ctDNA isolation and detection, current clinical validation studies and potential clinical utility.

scholarly journals Machine learning identifies two autophagy-related genes as markers of recurrence in colorectal cancer

2020 ◽  
Vol 48 (10) ◽  
pp. 030006052095880
Author(s):  
Jianping Wu ◽  
Sulai Liu ◽  
Xiaoming Chen ◽  
Hongfei Xu ◽  
Yaoping Tang
Keyword(s):  
Colorectal Cancer ◽  
Machine Learning ◽  
Protein Interactions ◽  
Early Stage ◽  
Predictive Ability ◽  
Improve Patient Care ◽  
Active Role ◽  
Risk Groups ◽  
Recurrence Risk ◽  
Machine Learning Algorithms

Objective Colorectal cancer (CRC) is the most common cancer worldwide. Patient outcomes following recurrence of CRC are very poor. Therefore, identifying the risk of CRC recurrence at an early stage would improve patient care. Accumulating evidence shows that autophagy plays an active role in tumorigenesis, recurrence, and metastasis. Methods We used machine learning algorithms and two regression models, univariable Cox proportion and least absolute shrinkage and selection operator (LASSO), to identify 26 autophagy-related genes (ARGs) related to CRC recurrence. Results By functional annotation, these ARGs were shown to be enriched in necroptosis and apoptosis pathways. Protein–protein interactions identified SQSTM1, CASP8, HSP80AB1, FADD, and MAPK9 as core genes in CRC autophagy. Of 26 ARGs, BAX and PARP1 were regarded as having the most significant predictive ability of CRC recurrence, with prediction accuracy of 71.1%. Conclusion These results shed light on prediction of CRC recurrence by ARGs. Stratification of patients into recurrence risk groups by testing ARGs would be a valuable tool for early detection of CRC recurrence.

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