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      Circulating tumor DNA dynamics and recurrence risk in patients undergoing curative intent resection of colorectal cancer liver metastases: A prospective cohort study

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          Abstract

          Background

          In patients with resectable colorectal liver metastases (CRLM), the role of pre- and postoperative systemic therapy continues to be debated. Previous studies have shown that circulating tumor DNA (ctDNA) analysis, as a marker of minimal residual disease, is a powerful prognostic factor in patients with nonmetastatic colorectal cancer (CRC). Serial analysis of ctDNA in patients with resectable CRLM could inform the optimal use of perioperative chemotherapy. Here, we performed a validation study to confirm the prognostic impact of postoperative ctDNA in resectable CRLM observed in a previous discovery study.

          Methods and findings

          We prospectively collected plasma samples from patients with resectable CRLM, including presurgical and postsurgical samples, serial samples during any pre- or postoperative chemotherapy, and serial samples in follow-up. Via targeted sequencing of 15 genes commonly mutated in CRC, we identified at least 1 somatic mutation in each patient’s tumor. We then designed a personalized assay to assess 1 mutation in plasma samples using the Safe-SeqS assay. A total of 380 plasma samples from 54 patients recruited from July 2011 to Dec 2014 were included in our analysis. Twenty-three (43%) patients received neoadjuvant chemotherapy, and 42 patients (78%) received adjuvant chemotherapy after surgery. Median follow-up was 51 months (interquartile range, 31 to 60 months). At least 1 somatic mutation was identified in all patients’ tumor tissue. ctDNA was detectable in 46/54 (85%) patients prior to any treatment and 12/49 (24%) patients after surgery. There was a median 40.93-fold (19.10 to 87.73, P < 0.001) decrease in ctDNA mutant allele fraction with neoadjuvant chemotherapy, but ctDNA clearance during neoadjuvant chemotherapy was not associated with a better recurrence-free survival (RFS). Patients with detectable postoperative ctDNA experienced a significantly lower RFS (HR 6.3; 95% CI 2.58 to 15.2; P < 0.001) and overall survival (HR 4.2; 95% CI 1.5 to 11.8; P < 0.001) compared to patients with undetectable ctDNA. For the 11 patients with detectable postoperative ctDNA who had serial ctDNA sampling during adjuvant chemotherapy, ctDNA clearance was observed in 3 patients, 2 of whom remained disease-free. All 8 patients with persistently detectable ctDNA after adjuvant chemotherapy have recurred. End-of-treatment (surgery +/− adjuvant chemotherapy) ctDNA detection was associated with a 5-year RFS of 0% compared to 75.6% for patients with an undetectable end-of-treatment ctDNA (HR 14.9; 95% CI 4.94 to 44.7; P < 0.001). Key limitations of the study include the small sample size and the potential for false-positive findings with multiple hypothesis testing.

          Conclusions

          We confirmed the prognostic impact of postsurgery and posttreatment ctDNA in patients with resected CRLM. The potential utility of serial ctDNA analysis during adjuvant chemotherapy as an early marker of treatment efficacy was also demonstrated. Further studies are required to define how to optimally integrate ctDNA analyses into decision-making regarding the use and timing of adjuvant therapy for resectable CRLM.

          Trial registration

          ACTRN12612000345886.

          Author summary

          Why was this study done?
          • Recurrence risk remains high in patients who underwent curative-intent surgical resection of colorectal cancer liver metastases (CRLM), with limited additional benefit from pre- or postoperative chemotherapy.

          • There is currently no validated biomarker of recurrence for resected CRLM that could help guide the use of chemotherapy for the individual patient.

          • Circulating tumor DNA (ctDNA), representing DNA shed from tumor cells into the circulation, is a versatile blood-based biomarker that can provide real-time assessment of cancer burden.

          • It has been shown in a previous small study of 18 patients that ctDNA detection after surgery for CRLM is highly predictive of eventual cancer relapse.

          What did the researchers do and find?
          • We performed a larger study involving 54 patients with resectable CRLM to confirm the ability of postoperative ctDNA to detect microscopic residual disease and predict relapse. We also analysed serial ctDNA during and after chemotherapy. ctDNA was detected in 24% of patients immediately after surgery, and these patients had a very high recurrence risk of 83% compared to only 31% in those with undetectable ctDNA after surgery.

          • All patients with detectable postoperative ctDNA who failed to clear their ctDNA following adjuvant chemotherapy experienced recurrence, while 67% of patients whose ctDNA became undetectable after chemotherapy remained disease-free.

          What do these findings mean?
          • ctDNA detection after surgery or after completion of adjuvant chemotherapy is associated with a very high risk of recurrence and death in patients with resectable CRLM; ctDNA dynamics before and after adjuvant chemotherapy reflected adjuvant treatment efficacy.

          • Future studies should aim to assess how best to incorporate ctDNA testing into clinical practice to guide adjuvant treatment decision.

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          Most cited references24

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          A new look at the statistical model identification

          IEEE Transactions on Automatic Control, 19(6), 716-723
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            Detection of circulating tumor DNA in early- and late-stage human malignancies.

            The development of noninvasive methods to detect and monitor tumors continues to be a major challenge in oncology. We used digital polymerase chain reaction-based technologies to evaluate the ability of circulating tumor DNA (ctDNA) to detect tumors in 640 patients with various cancer types. We found that ctDNA was detectable in >75% of patients with advanced pancreatic, ovarian, colorectal, bladder, gastroesophageal, breast, melanoma, hepatocellular, and head and neck cancers, but in less than 50% of primary brain, renal, prostate, or thyroid cancers. In patients with localized tumors, ctDNA was detected in 73, 57, 48, and 50% of patients with colorectal cancer, gastroesophageal cancer, pancreatic cancer, and breast adenocarcinoma, respectively. ctDNA was often present in patients without detectable circulating tumor cells, suggesting that these two biomarkers are distinct entities. In a separate panel of 206 patients with metastatic colorectal cancers, we showed that the sensitivity of ctDNA for detection of clinically relevant KRAS gene mutations was 87.2% and its specificity was 99.2%. Finally, we assessed whether ctDNA could provide clues into the mechanisms underlying resistance to epidermal growth factor receptor blockade in 24 patients who objectively responded to therapy but subsequently relapsed. Twenty-three (96%) of these patients developed one or more mutations in genes involved in the mitogen-activated protein kinase pathway. Together, these data suggest that ctDNA is a broadly applicable, sensitive, and specific biomarker that can be used for a variety of clinical and research purposes in patients with multiple different types of cancer.
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              ESMO consensus guidelines for the management of patients with metastatic colorectal cancer.

              Colorectal cancer (CRC) is one of the most common malignancies in Western countries. Over the last 20 years, and the last decade in particular, the clinical outcome for patients with metastatic CRC (mCRC) has improved greatly due not only to an increase in the number of patients being referred for and undergoing surgical resection of their localised metastatic disease but also to a more strategic approach to the delivery of systemic therapy and an expansion in the use of ablative techniques. This reflects the increase in the number of patients that are being managed within a multidisciplinary team environment and specialist cancer centres, and the emergence over the same time period not only of improved imaging techniques but also prognostic and predictive molecular markers. Treatment decisions for patients with mCRC must be evidence-based. Thus, these ESMO consensus guidelines have been developed based on the current available evidence to provide a series of evidence-based recommendations to assist in the treatment and management of patients with mCRC in this rapidly evolving treatment setting.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: ValidationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                3 May 2021
                May 2021
                : 18
                : 5
                : e1003620
                Affiliations
                [1 ] The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
                [2 ] Western Health, Melbourne, Australia
                [3 ] Peter MacCallum Cancer Centre, Melbourne, Australia
                [4 ] Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Australia
                [5 ] Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Medicine, Baltimore, Maryland, United States of America
                [6 ] Royal Melbourne Hospital, Melbourne, Australia
                [7 ] Eastern Health, Melbourne, Australia
                [8 ] Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
                [9 ] Royal Brisbane and Women’s Hospital, Brisbane, Australia
                [10 ] Nepean Cancer Care Centre, Sydney, Australia
                [11 ] Icon Cancer Centre, Adelaide, Australia
                [12 ] Olivia Newton-John Cancer and Wellness Centre, Melbourne, Australia
                [13 ] Flinders Medical Centre, Flinders University, Adelaide, Australia
                [14 ] Border Medical Oncology, Albury, Australia
                [15 ] The Alfred Hospital, Melbourne, Australia
                [16 ] Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
                Author notes

                I have read the journal’s policy and the authors of this manuscript have the following competing interests: BV, KWK, & NP are founders of, and hold equity in Thrive Earlier Detection and Personal Genome Diagnostics. KWK & NP are on the Board of Directors of, and consultants to, Thrive Earlier Detection. KWK & BV are consultants to Sysmex, Eisai, Personal Genome Diagnostics and CAGE Pharma and hold equity in CAGE Pharma. KWK, BV, and NP are consultants to and hold equity in NeoPhore. BV is a consultant to and holds equity in Catalio Capital Management. NP is an advisor to and holds equity in CAGE Pharma. The companies named above, as well as other companies, have licensed previously described technologies related to the work described in this paper from Johns Hopkins University. BV, KWK, and NP are inventors on some of these technologies. Licenses to these technologies are or will be associated with equity or royalty payments to the inventors as well as to Johns Hopkins University. CT and the University are entitled to royalty distributions related to technology licensed to Thrive Earlier Detection. CT is a consultant to Thrive. The terms of all these arrangements are being managed by Johns Hopkins University in accordance with its conflict of interest policies. All other authors declare no competing interests.

                ‡ BV and PG also contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-9244-2057
                https://orcid.org/0000-0003-1158-5668
                https://orcid.org/0000-0002-1920-4965
                https://orcid.org/0000-0002-9236-9790
                https://orcid.org/0000-0003-3803-2107
                https://orcid.org/0000-0002-8817-8799
                https://orcid.org/0000-0002-4926-5689
                https://orcid.org/0000-0001-9007-8845
                https://orcid.org/0000-0002-1143-9129
                https://orcid.org/0000-0001-9483-4994
                https://orcid.org/0000-0002-2170-3560
                https://orcid.org/0000-0001-9335-2678
                https://orcid.org/0000-0002-4631-5855
                https://orcid.org/0000-0003-1934-8739
                https://orcid.org/0000-0003-3277-4804
                https://orcid.org/0000-0001-7135-7451
                https://orcid.org/0000-0001-5591-1176
                Article
                PMEDICINE-D-20-05149
                10.1371/journal.pmed.1003620
                8128260
                33939694
                fd192eb6-f78f-4420-81fb-f7375b4a7d40
                © 2021 Tie et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 October 2020
                : 12 April 2021
                Page count
                Figures: 6, Tables: 2, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100008018, Victorian Cancer Agency;
                Award ID: CRF14007
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100006352, Virginia and D.K. Ludwig Fund for Cancer Research;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: P50-CA062924, CA06973, CA176828, CA210170
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000925, John Templeton Foundation;
                Award Recipient :
                This work was supported by Victorian Cancer Agency (CRF14007 to JT), the Virginia and D.K. Ludwig Fund for Cancer Research (PG), the National Institutes of Health (P50-CA062924, CA06973, CA176828, and CA210170 to BV) and the John Templeton Foundation (CT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
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                Biology and life sciences
                Biochemistry
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                Circulating tumor DNA
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                Circulating tumor DNA
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                2021-05-17
                All relevant data are within the manuscript and its Supporting Information files.

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