Assessment of postoperative circulating tumour DNA to predict early recurrence in patients with stage I-III right-sided colon cancer: prospective observational study.

BACKGROUND: Right-sided colon cancer (RCC) differs in mutation profile and risk of recurrence compared to distal colon cancer. Circulating tumour DNA (ctDNA) present after surgery can identify patients with residual disease after curative surgery and predict risk of early recurrence. METHODS: This is a prospective observational biomarker trial with exploration of ctDNA in 50 non-metastatic RCC patients for which oncological right-sided colectomy was performed. Blood samples were collected preoperatively, within 1 month post surgery, 3 months (not mandatory), 6 months and every 6 months thereafter. Plasma cell free DNA and/or tumour was investigated for cancer-related mutations by the next-generation sequencing (NGS) panel AVENIO surveillance specifically designed for ctDNA analysis. Detected mutations were quantified using digital droplet PCR (ddPCR) for follow-up. Recurrence-free survival was explored. RESULTS: 50 patients were recruited. Somatic cancer-related mutations were detected in 47/50 patients. ddPCR validated results from NGS for 27/34 (plasma) and 72/72 samples (tumour). Preoperative ctDNA was detected in 31/47 of the stage I/III patients and the majority of ctDNA positive patients showed reduction of ctDNA after surgery (27/31). ctDNA-positive patients at first postoperative sample had high recurrence risk compared to patients without measurable ctDNA (adjusted hazard ratio: 172.91; 95% c.i.: 8.70 to 3437.24; P: 0.001). CONCLUSION: ctDNA was detectable in most patients with non-metastatic RCC before surgery. Positive postoperative ctDNA was strongly associated with early recurrence. Detectable postoperative ctDNA is a prognostic factor with high (100%) positive predictive value for recurrence in this cohort of non-metastatic RCC. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT03776591.

Partial Response to Sorafenib in a Child With a Myeloid/Lymphoid Neoplasm, Eosinophilia, and a ZMYM2-FLT3 Fusion.

Dysregulated tyrosine kinases in myeloid/lymphoid neoplasms with eosinophilia are rare, but do occur in children. To increase awareness of this diagnosis, we present a child who was diagnosed after a 3-year disease history. The patient was initially treated according to a T-cell lymphoblastic lymphoma protocol, but genetic analyses at recurrence revealed microdeletions resulting in an in-frame fusion of ZMYM2 and FLT3. Treatment with sorafenib, an FLT3 tyrosine kinase inhibitor, rapidly resulted in significant reduction of lymphadenopathy and normalization of white blood cell and eosinophil counts. At 17 months of treatment, he remains in complete hematologic, but not molecular remission.

Global Cell Proteome Profiling, Phospho-signaling and Quantitative Proteomics for Identification of New Biomarkers in Acute Myeloid Leukemia Patients.

The identification of protein biomarkers for acute myeloid leukemia (AML) that could find applications in AML diagnosis and prognosis, treatment and the selection for bone marrow transplant requires substantial comparative analyses of the proteomes from AML patients. In the past years, several studies have suggested some biomarkers for AML diagnosis or AML classification using methods for sample preparation with low proteome coverage and low resolution mass spectrometers. However, most of the studies did not follow up, confirm or validate their candidates with more patient samples. Current proteomics methods, new high resolution and fast mass spectrometers allow the identification and quantification of several thousands of proteins obtained from few tens of µg of AML cell lysate. Enrichment methods for posttranslational modifications (PTM), such as phosphorylation, can isolate several thousands of site-specific phosphorylated peptides from AML patient samples, which subsequently can be quantified with high confidence in new mass spectrometers. While recent reports aiming to propose proteomic or phosphoproteomic biomarkers on the studied AML patient samples have taken advantage of the technological progress, the access to large cohorts of AML patients to sample from and the availability of appropriate control samples still remain challenging.

The Past, Present and Future Subclassification of Patients with Acute Myeloid Leukemia.

Acute myeloid leukemia (AML) is characterized as a heterogeneous disease where the patients are sub grouped according to several classification systems and mutational analyses. Diagnosis of AML is based on identification of the specific myeloid cell initiating the disease, quantification of immature blasts in bone marrow and peripheral blood, as well as detection of mutations and translocations. The heterogeneity of AML is caused by a block in differentiation that may occur in any of the different myeloid cell populations. These undifferentiated cells also harbor an increased proliferation potential that leads to accumulation of immature leukemic cells. The current development of more sensitive and less labor intensive analysis methods has led classification of patients from being a system based on morphology of the leukemic cells to being more sophisticated, detecting translocations and small mutations found in the whole leukemic clone or in a minor subclone. This review aims to describe the most common classification systems of AML, including frequently occurring translocations, mutations and epigenetic alterations, as well as describe traditional and novel methods for diagnosis and analysis of these patients.

Clinical proteomics of myeloid leukemia.

Myeloid leukemias are a heterogeneous group of diseases originating from bone marrow myeloid progenitor cells. Patients with myeloid leukemias can achieve long-term survival through targeted therapy, cure after intensive chemotherapy or short-term survival because of highly chemoresistant disease. Therefore, despite the development of advanced molecular diagnostics, there is an unmet need for efficient therapy that reflects the advanced diagnostics. Although the molecular design of therapeutic agents is aimed at interacting with specific proteins identified through molecular diagnostics, the majority of therapeutic agents act on multiple protein targets. Ongoing studies on the leukemic cell proteome will probably identify a large number of new biomarkers, and the prediction of response to therapy through these markers is an interesting avenue for future personalized medicine. Mass spectrometric protein detection is a fundamental technique in clinical proteomics, and selected tools are presented, including stable isotope labeling with amino acids in cell culture (SILAC), isobaric tags for relative and absolute quantification (iTRAQ) and multiple reaction monitoring (MRM), as well as single cell determination. We suggest that protein analysis will play not only a supplementary, but also a prominent role in future molecular diagnostics, and we outline how accurate knowledge of the molecular therapeutic targets can be used to monitor therapy response.