Search

Supplementary Figure S1. LMNA-NTRK1 genetic rearrangement detected in patient's plasma and xeno. Supplementary Figure S2. Acquisition of mutations in the TRKA kinase domain drives secondary resistance to entrectinib in Ba/F3 TRKA WT cells. Supplementary Figure S3. NTRK1 mutations confer resistance to TRKA inhibition. Supplementary Figure S4. Homology alignment of NTRK1 p.G595 and p.G667 variants. Supplementary Table S1. NGS analysis of NTRK1 gene in patient's plasma and xeno. Supplementary Table S2. NGS analysis of patient's derived samples. Supplementary Table S3. Summary of serial ctDNA analyses. Supplementary Table S4. The p.G595R and p.G667C mutations confer resistance to multiple TRK inhibitors. Supplementary Table S5. NTRK1 p. G595R, p.G667C and LMNA-NTRK1 fusion probes for ddPCR.

Supplementary Table S2

Purpose:Patient-derived xenograft (PDX) models accurately recapitulate the tumor of origin in terms of histopathology, genomic landscape, and therapeutic response, but some limitations due to costs associated with their maintenance and restricted amenability for large-scale screenings still exist. To overcome these issues, we established a platform of 2D cell lines (xeno-cell lines, XL), derived from PDXs of colorectal cancer with matched patient germline gDNA available.Experimental Design:Whole-exome and transcriptome sequencing analyses were performed. Biomarkers of response and resistance to anti-HER therapy were annotated. Dependency on the WRN helicase gene was assessed in MSS, MSI-H, and MSI-like XLs using a reverse genetics functional approach.Results:XLs recapitulated the entire spectrum of colorectal cancer transcriptional subtypes. Exome and RNA-seq analyses delineated several molecular biomarkers of response and resistance to EGFR and HER2 blockade. Genotype-driven responses observed in vitro in XLs were confirmed in vivo in the matched PDXs. MSI-H models were dependent upon WRN gene expression, while loss of WRN did not affect MSS XLs growth. Interestingly, one MSS XL with transcriptional MSI-like traits was sensitive to WRN depletion.Conclusions:The XL platform represents a preclinical tool for functional gene validation and proof-of-concept studies to identify novel druggable vulnerabilities in colorectal cancer.

Supplementary Legends and Figures

BackgroundNeoantigens that arise as a consequence of tumour-specific mutations can be recognized by T lymphocytes leading to effective immune surveillance. In colorectal cancer (CRC) and other tumour types, a high number of neoantigens is associated with patient response to immune therapies. The molecular processes governing the generation of neoantigens and their turnover in cancer cells are poorly understood. We exploited CRC as a model system to understand how alterations in DNA repair pathways modulate neoantigen profiles over time.MethodsWe performed Whole Exome Sequencing (WES) and RNA sequencing (RNAseq) in CRC cell lines,in vitroandvivo, and in CRC patient-derived xenografts (PDXs) to track longitudinally genomic profiles, clonal evolution, mutational signatures and predicted neoantigens.ResultsThe majority of CRC models showed remarkably stable mutational and neoantigen profiles, however those carrying defects in DNA repair genes continuously diversified. Rapidly evolving and evolutionary stable CRCs displayed characteristic genomic signatures, and transcriptional profiles. Downregulation of molecules implicated in antigen presentation occurred selectively in highly mutated and rapidly-evolving CRC.ConclusionsThese results indicate that CRC carrying alterations in DNA repair pathways display dynamic neoantigen patterns that fluctuate over time. We define CRC subsets characterized by slow and fast evolvability and link this phenotype to downregulation of antigen-presenting cellular mechanisms. Longitudinal monitoring of the neoantigen landscape could be relevant in the context of precision medicine.

Purpose: Patient-derived xenograft (PDX) models accurately recapitulate the tumor of origin in terms of histopathology, genomic landscape, and therapeutic response, but some limitations due to costs associated with their maintenance and restricted amenability for large-scale screenings still exist. To overcome these issues, we established a platform of 2D cell lines (xeno-cell lines, XL), derived from PDXs of colorectal cancer with matched patient germline gDNA available. Experimental Design: Whole-exome and transcriptome sequencing analyses were performed. Biomarkers of response and resistance to anti-HER therapy were annotated. Dependency on the WRN helicase gene was assessed in MSS, MSI-H, and MSI-like XLs using a reverse genetics functional approach. Results: XLs recapitulated the entire spectrum of colorectal cancer transcriptional subtypes. Exome and RNA-seq analyses delineated several molecular biomarkers of response and resistance to EGFR and HER2 blockade. Genotype-driven responses observed in vitro in XLs were confirmed in vivo in the matched PDXs. MSI-H models were dependent upon WRN gene expression, while loss of WRN did not affect MSS XLs growth. Interestingly, one MSS XL with transcriptional MSI-like traits was sensitive to WRN depletion. Conclusions: The XL platform represents a preclinical tool for functional gene validation and proof-of-concept studies to identify novel druggable vulnerabilities in colorectal cancer.

Background Recognition of rare molecular subgroups is a challenge for precision oncology and may lead to tissue-agnostic approval of targeted agents. Here we aimed to comprehensively characterize the clinical, pathological and molecular landscape of RET rearranged metastatic colorectal cancer (mCRC). Patients and methods In this case series, we compared clinical, pathological and molecular characteristics of 24 RET rearranged mCRC patients with those of a control group of 291 patients with RET negative tumors. RET rearranged and RET negative mCRCs were retrieved by systematic literature review and by taking advantage of three screening sources: (i) Ignyta's phase 1/1b study on RXDX-105 (NCT01877811), (ii) cohorts screened at two Italian and one South Korean Institutions and (iii) Foundation Medicine Inc. database. Next-generation sequencing data were analyzed for RET rearranged cases. Results RET fusions were more frequent in older patients (median age of 66 versus 60 years, P = 0.052), with ECOG PS 1-2 (90% versus 50%, P = 0.02), right-sided (55% versus 32%, P = 0.013), previously unresected primary tumors (58% versus 21%, P

Entrectinib is a first-in-class pan-TRK kinase inhibitor currently undergoing clinical testing in colorectal cancer and other tumor types. A patient with metastatic colorectal cancer harboring an LMNA–NTRK1 rearrangement displayed a remarkable response to treatment with entrectinib, which was followed by the emergence of resistance. To characterize the molecular bases of the patient's relapse, circulating tumor DNA (ctDNA) was collected longitudinally during treatment, and a tissue biopsy, obtained before entrectinib treatment, was transplanted in mice (xenopatient), which then received the same entrectinib regimen until resistance developed. Genetic profiling of ctDNA and xenopatient samples showed acquisition of two point mutations in the catalytic domain of NTRK1, p.G595R and p.G667C. Biochemical and pharmacologic analysis in multiple preclinical models confirmed that either mutation renders the TRKA kinase insensitive to entrectinib. These findings can be immediately exploited to design next-generation TRKA inhibitors. Significance: We provide proof of principle that analyses of xenopatients (avatar) and liquid biopsies allow the identification of drug resistance mechanisms in parallel with clinical treatment of an individual patient. We describe for the first time that p.G595R and p.G667C TRKA mutations drive acquired resistance to entrectinib in colorectal cancers carrying NTRK1 rearrangements. Cancer Discov; 6(1); 36–44. ©2015 AACR. See related commentary by Okimoto and Bivona, p. 14. This article is highlighted in the In This Issue feature, p. 1

Summary Background Trabectedin is an alkylating drug with a unique mechanism of action causing single-strand and double-strand DNA breaks that activate DNA damage-response pathways. Based on our preclinical data, we hypothesised that poly(ADP-ribose) polymerase 1 (PARP1) inhibitors might be an ideal partner of trabectedin and aimed to assess the safety, identify the recommended phase 2 dose, and explore preliminary signs of activity of trabectedin and olaparib combination treatment in patients with bone and soft-tissue sarcoma. Methods We did an open-label, multicentre, phase 1b study, recruiting patients from the national Italian sarcoma network aged 18 years and older with histologically confirmed bone and soft-tissue sarcoma progressing after standard treatments with Eastern Cooperative Oncology Group performance status of 1 or less. In a classic 3 + 3 design, patients received a 24 h infusion of trabectedin on day 1 and olaparib orally twice a day in 21-day cycles across six dose levels (trabectedin 0·675–1·3 mg/m2 every 3 weeks; olaparib 100–300 mg twice a day from day 1 to 21). Intermediate dose levels were permitted to improve safety and tolerability. The primary endpoint was determination of the recommended phase 2 dose (the maximum tolerated dose). Safety and antitumour activity were assessed in all patients who received at least one dose of the study drugs. We report the results of the dose-escalation and dose-expansion cohorts. The trial is still active but closed to enrolment, and follow-up for patients who completed treatment is ongoing. This trial is registered with ClinicalTrials.gov, number NCT02398058. Findings Between Nov 17, 2014, and Jan 30, 2017, of 54 patients assessed for eligibility, we enrolled 50 patients: 28 patients in the dose-escalation cohort and 22 patients in the dose-expansion cohort. Patients received a median of four cycles of treatment (IQR 2–6; range 1–17 [the patients who received the highest number of cycles are still on treatment]) with a median follow-up of 10 months (IQR 5–23). Considering all dose levels, the most common grade 3–4 adverse events were lymphopenia (32 [64%] of 50 patients), neutropenia (31 [62%]), thrombocytopenia (14 [28%]), anaemia (13 [26%]), hypophosphataemia (20 [40%]), and alanine aminotransferase concentration increase (9 [18%]). No treatment-related life-threatening adverse events or deaths occurred. One (2%) patient interrupted treatment without progression without reporting any specific toxicity. Observed dose-limiting toxicities were thrombocytopenia, neutropenia for more than 7 days, and febrile neutropenia. We selected intermediate dose level 4b (trabectedin 1·1 mg/m2 every 3 weeks plus olaparib 150 mg twice a day) as the recommended phase 2 dose. Seven (14%; 95% CI 6–27) of 50 patients achieved a partial response according to Response Evaluation Criteria In Solid Tumors 1.1. Interpretation Trabectedin and olaparib in combination showed manageable toxicities at active dose levels for both drugs. Preliminary data on antitumour activity are encouraging. Two dedicated phase 2 studies are planned to assess activity of this combination in both ovarian cancer (EudraCT2018-000230-35) and soft-tissue sarcomas. Funding Italian Association for Cancer Research, Italian Sarcoma Group, Foundation for Research on Musculoskeletal and Rare Tumors, and Italian Ministry of Health.

Background Patients often ask oncologists how long a cancer has been present before causing symptoms or spreading to other organs. The evolutionary trajectory of cancers can be defined using phylogenetic approaches but lack of chronological references makes dating the exact onset of tumours very challenging. Patients and methods Here, we describe the case of a colorectal cancer (CRC) patient presenting with synchronous lung metastasis and metachronous thyroid, chest wall and urinary tract metastases over the course of 5 years. The chest wall metastasis was caused by needle tract seeding, implying a known time of onset. Using whole genome sequencing data from primary and metastatic sites we inferred the complete chronology of the cancer by exploiting the time of needle tract seeding as an in vivo ‘stopwatch’. This approach allowed us to follow the progression of the disease back in time, dating each ancestral node of the phylogenetic tree in the past history of the tumour. We used a Bayesian phylogenomic approach, which accounts for possible dynamic changes in mutational rate, to reconstruct the phylogenetic tree and effectively ‘carbon date’ the malignant progression. Results The primary colon cancer emerged between 5 and 8 years before the clinical diagnosis. The primary tumour metastasized to the lung and the thyroid within a year from its onset. The thyroid lesion presented as a tumour-to-tumour deposit within a benign Hurthle adenoma. Despite rapid metastatic progression from the primary tumour, the patient showed an indolent disease course. Primary cancer and metastases were microsatellite stable and displayed low chromosomal instability. Neo-antigen analysis suggested minimal immunogenicity. Conclusion Our data provide the first in vivo experimental evidence documenting the timing of metastatic progression in CRC and suggest that genomic instability might be more important than the metastatic potential of the primary cancer in dictating CRC fate.

Success in eradicating human cancer with targeted therapies is limited by the emergence of secondary resistance. The prevalent view is that resistance is a fait accompli: when treatment is initiated, tumors already contain drug-resistant mutant cells. However, when cancer cells are challenged with targeted agents, the emergence of drug tolerant ‘persister’ cell population is often observed. Persisters survive exposure to targeted therapies through non-genetic, poorly understood mechanisms, and constitute a reservoir from which genetically divergent, drug-resistant derivatives eventually emerge. Analogously, when bacteria are exposed to stress, such as antibiotic treatment, persister cells can survive and, by switching from high-fidelity to low-fidelity DNA replication process, increase transiently their mutation rate (adaptive mutability), thus improving chances of survival. We used colorectal cancer (CRC) as model system to explore the hypothesis that, in addition to pre-existing drug resistant cells, resistance to targeted therapies could be fostered by a transient increase in genomic instability during treatment, leading to de novo genetic alterations. We found that, when exposed to EGFR and/or BRAF inhibition, mismatch repair proficient (MMRp) CRC cell lines exhibited a down-modulation of MMR and Homologous Recombination (HR) DNA repair genes, and a concomitant up-regulation of error-prone polymerases, resulting in reduced MMR and HR proficiency. Therapy-induced modulation of DNA repair genes was transient and returned to initial levels upon removal of the drugs, or when the cells developed permanent resistance to targeted agents. Notably, MLH1 and MSH2 MMR genes were down-regulated in patients-derived xenografts and tissue samples obtained at clinical response (minimal residual disease) compared to pre-treatment samples, confirming the clinical relevance of our findings. Activation of error-prone polymerases was associated with increased ROS production and accumulation of DNA damage marker γ-H2AX, in a time- a dose-dependent manner upon drug administration. The combination of DNA repair down-modulation and error-prone polymerases upregulation increases mutagenic ability and triggers microsatellite instability under drug-induced stress in CRC cells. Our results demonstrate that cancer cells, like unicellular organisms, evade therapeutic pressures by enhancing mutability. The notion that cancer cells exposed to targeted therapies activate a stress-induced adaptive mutability process may prompt the design of novel therapeutic strategies aimed at interfering with clonal evolution, reducing the generation of new variants during therapeutic treatment. Citation Format: MARIANGELA RUSSO, Giovanni Crisafulli, Alberto Sogari, Nicole Megan Reilly, Sabrina Arena, Simona Lamba, Alice Bartolini, Vito Amodio, Alessandro Magrì, Luca Novara, Ivana Sarotto, Zachary Nagel, Cortt Piett, Alessio Amatu, Andrea Sartore-Bianchi, Salvatore Siena, Andrea Bertotti, Livio Trusolino, Federica Di Nicolantonio, Alberto Bardelli. Adaptive mutability of colorectal cancers in response to targeted therapies [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr A120. doi:10.1158/1535-7163.TARG-19-A120

Preclinical models that accurately reflect patients’ tumor with regards to histopathology, genomics, and therapeutic response represent a compelling need to fuel the progress of effective cancer treatments. Patient-derived tumor xenografts (PDXs) have significantly accelerated this process, but, although they closely mirror structural and molecular features of the tumor of origin, they still retain important restrictions related to maintenance costs and large-scale screening. To overcome this issue, we have established a novel platform of 2D-cell lines (xeno-cell lines, XL) derived from PDXs of colorectal cancer (CRC) from which patient’s germline gDNA was available. We have characterized XL-cells at multiple levels to confirm their proximity to the PDXs of origin and to assess their suitability as patient avatars in vitro to interrogate functional networks in colorectal cancer. All XL-cells showed an epithelial-like morphology and phenotype, as also confirmed by EMT biomarker transcriptomic analysis. Whole exome and RNA-seq analyses showed that genomic features were consistently preserved between PDXs and matched cell models. Expression analysis revealed the XL-line collection as a significant representative of all CRC subtypes (CMS and CRIS subgroups). Furthermore, genomic analysis allowed the identification of molecular biomarkers of response and resistance to targeted therapies, including EGFR and HER2 blockade. In particular, molecular determinants of resistance to dual-HER2 blockade previously reported in the Heracles-A trial were validated in XL-cells. In conclusion, the XL-cell line and PDX platform represents a unique and comprehensive preclinical tool to validate gene function e to identify novel pharmacological vulnerabilities in colorectal cancer. Citation Format: Luca Lazzari, Giorgio Corti, Claudio Isella, Monica Montone, Pamela Arcella, Eugenia Zanella, Luca Novara, Fabiane Barbosa, Andrea Cassingena, Carlotta Cancelliere, Enzo Medico, Andrea Sartore-Bianchi, Salvatore Siena, Andrea Bertotti, Livio Trusolino, Federica Di Nicolantonio, Michael Linnebacher, Alberto Bardelli, Sabrina Arena. A comprehensive platform of patient-derived xenografts and matched cell lines mirrors the genomic landscape of colorectal 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 LB-299.

Background The diagnosis of colorectal cancer (CRC) is routinely accomplished through histopathologic examination. Prognostic information and treatment decisions are mainly determined by TNM classification, first defined in 1968. In the last decade, patient-specific CRC genomic landscapes were shown to provide important prognostic and predictive information. Therefore, there is a need for developing next generation sequencing (NGS) and bioinformatic workflows that can be routinely used for the assessment of prognostic and predictive biomarkers. Materials and Methods To foster the application of genomics in the clinical management of CRCs, the IDEA workflow has been built to easily adapt to the availability of patient specimens and the clinical question that is being asked. Initially, IDEA deploys ad-hoc NGS assays to interrogate predefined genomic target sequences (from 600 kb to 30 Mb) with optimal detection sensitivity. Next, sequencing data are processed through an integrated bioinformatic pipeline to assess single nucleotide variants, insertions and deletions, gene copy-number alterations, and chromosomal rearrangements. The overall results are gathered into a user-friendly report. Results We provide evidence that IDEA is capable of identifying clinically relevant molecular alterations. When optimized to analyze circulating tumor DNA, IDEA can be used to monitor response and relapse in the blood of patients with metastatic CRC receiving targeted agents. IDEA detected primary and secondary resistance mechanisms to ERBB2 blockade including sub-clonal RAS and BRAF mutations. Conclusions The IDEA workflow provides a flexible platform to integrate NGS and bioinformatic tools for refined diagnosis and management of patients with advanced CRC.

Background ALK, ROS1, and NTRK fusions occur in 0.2% to 2.4% of colorectal cancers. Pioneer cases of metastatic colorectal cancer (mCRC) patients bearing rearrangements who benefited from anti-ALK, ROS, and TrkA-B-C therapies have been reported previously. Here we aimed at characterizing the clinical and molecular landscape of ALK, ROS1, and NTRK rearranged mCRC. Methods Clinical features and molecular characteristics of 27 mCRC patients bearing ALK, ROS1, and NTRK rearranged tumors were compared with those of a cohort of 319 patients not bearing rearrangements by means of Fisher's exact, χ2 test, or Mann-Whitney test as appropriate. Overall survival curves were estimated with the Kaplan-Meier method and compared using the log-rank test. A Cox proportional hazard model was adopted in the multivariable analysis. Deep molecular and immunophenotypic characterizations of rearranged cases, including those described in The Cancer Genome Atlas database, were performed. All statistical tests were two-sided. Results Closely recalling the "BRAF history," ALK, ROS1, and NTRK rearrangements more frequently occurred in elderly patients (P = .02) with right-sided tumors (P < .001) and node-spreading (P = .03), RAS wild-type (P < .001), and MSI-high (P < .001) cancers. All patients bearing ALK, ROS1, and NTRK fusions had shorter overall survival (15.6 months, 95% confidence interval [CI] = 0.0 to 20.4 months) than negative patients (33.7 months, 95% CI = 28.3 to 42.1 months), both in the univariate (hazard ratio [HR] = 2.17, 95% CI = 1.03 to 4.57, P < .001) and multivariable models (HR = 2.33, 95% CI = 1.10 to 4.95, P = .02). All four evaluable patients with rearrangements showed primary resistance to anti-epidermal growth factor receptor agents. Frequent association with potentially targetable RNF43 mutations was observed in MSI-high rearranged tumors. Conclusions ALK, ROS1, and NTRK rearrangements define a new rare subtype of mCRC with extremely poor prognosis. Primary tumor site, MSI-high, and RAS and BRAF wild-type status may help to identify patients bearing these alterations. While sensitivity to available treatments is limited, targeted strategies inhibiting ALK, ROS, and TrkA-B-C provided encouraging results.

Type systems for communicating processes are typically studied using abstract models – e.g., process algebras – that distill the communication behavior of programs but overlook their structure in terms of functions, methods, objects, modules. It is not always obvious how to apply these type systems to structured programming languages. In this work we port a recently developed type system that ensures deadlock freedom in the π-calculus to a higher-order language.

A metastatic colorectal cancer (mCRC) patient carrying CAD-ALK translocation achieved partial response to an experimental ALK inhibitor and then progressed after 5 months. We studied whether urine cell-free, trans-renal DNA (tr-DNA) could be used to monitor tumor burden and patient’s response. A NGS panel was developed to interrogate 52 common cancer gene rearrangements and 14 frequently mutated genes in cancer patients. A TP53 p.R248W mutation and the CAD-ALK genomic breakpoint (rearrangement) were identified in the tumor tissue and matched plasma circulating tumor DNA (ctDNA) Urine samples were longitudinally obtained from the patient during ALK inhibitor treatment in parallel with blood. To detect the CAD-ALK translocation in urine tr-DNA we designed ultra-short (51 bp amplicon) primer pairs spanning the genomic breakpoint as a unique tumor marker. This approach allowed the non-invasive monitoring of the gene fusion in urine with amounts paralleling tumor burden. Of note, CAD-ALK gene fusion was apparent in urine tr-DNA before radiological confirmation of disease progression. The same strategy was applied to plasma ctDNA and the results were compared. To detect point mutations in urine tr-DNA, we exploited a peptide nucleic acids (PNA)-CLAMP PCR coupled with droplet digital PCR (ddPCR) analysis to specifically suppress amplification of wild-type DNA fragments. Custom PNA probes were designed for TP53 codon 248, and a ddPCR assay was optimized to detect the TP53 p.R248W mutation, which was then identified in all urine tr-DNA samples, with absolute copies correlating with tumor burden throughout ALK inhibitor treatment. In conclusion, we find that urine tr-DNA can be exploited to non-invasively monitor tumor burden by detecting tumor-specific gene fusions as well as point mutations. Citation Format: Giulia Siravegna, Andrea Sartore-Bianchi, Benedetta Mussolin, Laura Palmieri, Federica Tosi, Andrea Cassingena, Luca Novara, Michela Buscarino, Giorgio Corti, Giovanni Crisafulli, Alice Bartolini, Mark Erlander, Federica Di Nicolantonio, Salvatore Siena, Alberto Bardelli. Tracking CAD-ALK gene translocation in urine and plasma of a colorectal cancer patient treated with ALK blockade [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3834. doi:10.1158/1538-7445.AM2017-3834

A cross-kingdom tale of drug resistance Physicians who treat bacterial infections and those who treat cancer often face a common challenge: the development of drug resistance. It is well known that when bacteria are exposed to antibiotics, they temporarily increase their mutation rate, thus increasing the chance that a descendant antibiotic-resistant cell will arise. Russo et al. now provide evidence that cancer cells exploit a similar mechanism to ensure their survival after drug exposure (see the Perspective by Gerlinger). They found that human colorectal cancer cells treated with certain targeted therapies display a transient up-regulation of errorprone DNA polymerases and a reduction in their ability to repair DNA damage. Thus, like bacteria, cancer cells can adapt to therapeutic pressure by enhancing their mutability. Science , this issue p. 1473 ; see also p. 1458

Background Monitoring response and resistance to kinase inhibitors is essential to precision cancer medicine, and is usually investigated by molecular profiling of a tissue biopsy obtained at progression. However, tumor heterogeneity and tissue sampling bias limit the effectiveness of this strategy. In addition, tissue biopsies are not always feasible and are associated with risks due to the invasiveness of the procedure. To overcome these limitations, blood-based liquid biopsy analysis has proven effective to non-invasively follow tumor clonal evolution. Patients and methods We exploited urine cell-free, trans-renal DNA (tr-DNA) and matched plasma circulating tumor DNA (ctDNA) to monitor a metastatic colorectal cancer patient carrying aCAD-ALK translocation during treatment with an ALK inhibitor. Results Using a custom next generation sequencing panel we identified the genomicCAD-ALK rearrangement and aTP53 mutation in plasma ctDNA. Sensitive assays were developed to detect both alterations in urine tr-DNA. The dynamics of theCAD-ALK rearrangement in plasma and urine were concordant and paralleled the patient’s clinical course. Detection of theCAD-ALK gene fusion in urine tr-DNA anticipated radiological confirmation of disease progression. Analysis of plasma ctDNA identifiedALK kinase mutations that emerged during treatment with the ALK inhibitor entrectinib. Conclusion We find that urine-based genetic testing allows tracing of tumor-specific oncogenic rearrangements. This strategy could be effectively applied to non-invasively monitor tumor evolution during therapy. The same approach could be exploited to monitor minimal residual disease after surgery with curative intent in patients whose tumors carry gene fusions. The latter could be implemented without the need of patient hospitalization since urine tr-DNA can be self-collected, is stable over time and can be shipped at specified time-points to central labs for testing.