Cell proliferation includes a series of events that is tightly regulated by several checkpoints and layers of control mechanisms. Most studies have been performed on large cell populations, but detailed understanding of cell dynamics and heterogeneity requires single-cell analysis. Here, we used quantitative real-time PCR, profiling the expression of 93 genes in single-cells from three different cell lines. Individual unsynchronized cells from three different cell lines were collected in different cell cycle phases (G0/G1 – S – G2/M) with variable cell sizes. We found that the total transcript level per cell and the expression of most individual genes correlated with progression through the cell cycle, but not with cell size. By applying the random forests algorithm, a supervised machine learning approach, we show how a multi-gene signature that classifies individual cells into their correct cell cycle phase and cell size can be generated. To identify the most predictive genes we used a variable selection strategy. Detailed analysis of cell cycle predictive genes allowed us to define subpopulations with distinct gene expression profiles and to calculate a cell cycle index that illustrates the transition of cells between cell cycle phases. In conclusion, we provide useful experimental approaches and bioinformatics to identify informative and predictive genes at the single-cell level, which opens up new means to describe and understand cell proliferation and subpopulation dynamics.

Members of the human FET family of RNA‐binding proteins, comprising FUS, EWSR1, and TAF15, are ubiquitously expressed and engage at several levels of gene regulation. Many sarcomas and leukemias are characterized by the expression of fusion oncogenes with FET genes as 5′ partners and alternative transcription factor‐coding genes as 3′ partners. Here, we report that the N terminus of normal FET proteins and their oncogenic fusion counterparts interact with the SWI/SNF chromatin remodeling complex. In contrast to normal FET proteins, increased fractions of FET oncoproteins bind SWI/SNF, indicating a deregulated and enhanced interaction in cancer. Forced expression of FET oncogenes caused changes of global H3K27 trimethylation levels, accompanied by altered gene expression patterns suggesting a shift in the antagonistic balance between SWI/SNF and repressive polycomb group complexes. Thus, deregulation of SWI/SNF activity could provide a unifying pathogenic mechanism for the large group of tumors caused by FET fusion oncoproteins. These results may help to develop common strategies for therapy.

DDIT3 is a tightly regulated basic leucine zipper (bZIP) transcription factor and key regulator in cellular stress responses. It is involved in a variety of pathological conditions and may cause cell cycle block and apoptosis. It is also implicated in differentiation of some specialized cell types and as an oncogene in several types of cancer. DDIT3 was originally believed to act as a dominant-negative inhibitor by forming heterodimers with other bZIP transcription factors, preventing their DNA binding and transactivating functions. DDIT3 has, however, been reported to bind DNA and regulate target genes. Here, we employed ChIP sequencing combined with microarray-based expression analysis to identify direct binding motifs and target genes of DDIT3. The results reveal DDIT3 binding to motifs similar to other bZIP transcription factors, known to form heterodimers with DDIT3. Binding to a class III satellite DNA repeat sequence was also detected. DDIT3 acted as a DNA-binding transcription factor and bound mainly to the promotor region of regulated genes. ChIP sequencing analysis of histone H3K27 methylation and acetylation showed a strong overlap between H3K27-acetylated marks and DDIT3 binding. These results support a role for DDIT3 as a transcriptional regulator of H3K27ac-marked genes in transcriptionally active chromatin.

Patients with anaplastic lymphoma kinase (ALK)–driven neuroblastoma may respond to tyrosine kinase inhibitors, but resistance to treatment occurs and methods currently used for detection of residual disease have limited sensitivity. Here, we present a national unselected cohort of five patients with relapsed or refractory ALK-driven neuroblastoma treated with lorlatinib as monotherapy and test the potential of targeted circulating tumor DNA (ctDNA) analysis as a guide for treatment decisions in these patients. We developed a sequencing panel for ultrasensitive detection of ALK mutations associated with neuroblastoma or resistance to tyrosine kinase inhibitors and used it for ctDNA analysis in 83 plasma samples collected longitudinally from the four patients who harbored somatic ALK mutations. All four patients with ALK p.R1275Q experienced major responses and were alive 35 to 61 months after starting lorlatinib. A fifth patient with ALK p.F1174L initially had a partial response but relapsed after 10 months of treatment. In all cases, ctDNA was detected at the start of lorlatinib single-agent treatment and declined gradually, correlating with clinical responses. In the two patients exhibiting relapse, ctDNA increased 9 and 3 months, respectively, before clinical detection of disease progression. In one patient harboring HRAS p.Q61L in the relapsed tumor, retrospective ctDNA analysis showed that the mutation appeared de novo after 8 months of lorlatinib treatment. We conclude that some patients with relapsed or refractory high-risk neuroblastoma show durable responses to lorlatinib as monotherapy, and targeted ctDNA analysis is effective for evaluation of treatment and early detection of relapse in ALK-driven neuroblastoma. Significance: We present five patients with ALK-driven relapsed or refractory neuroblastoma treated with lorlatinib as monotherapy. All patients responded to treatment, and four of them were alive after 3 to 5 years of follow-up. We performed longitudinal ctDNA analysis with ultra-deep sequencing of the ALK tyrosine kinase domain. We conclude that ctDNA analysis may guide treatment decisions in ALK-driven neuroblastoma, also when the disease is undetectable using standard clinical methods.

// <![CDATA[ $('.header-date').hide();$('#titleAuthors').hide();$('#abstractHeader').hide(); // ]]> Setareh Safavi1, Sofia Järnum1, Christoffer Vannas1, Sameer Udhane1, Emma Jonasson1, Tajana Tesan Tomic1, Pernilla Grundevik1, Henrik Fagman1, Magnus Hansson1, Zeynep Kalender2, Alexandra Jauhiainen2, Soheila Dolatabadi1, Eva Wessel Stratford3, Ola Myklebost3, Mikael Eriksson4, Göran Stenman1, Regine Schneider Stock5, Anders Ståhlberg1, Pierre Åman1 1Sahlgrenska Cancer Center, Institute of Biomedicine, Department of Pathology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden 2Mathematical Statistics, Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Göteborg, Sweden 3Department of Tumour Biology, The Norwegian Radium Hospital, Oslo University Hospital, Nydalen, Oslo, Norway 4Department of Oncology, Lund University Hospital, Lund, Sweden 5Experimental Tumor Pathology, Institute of Pathology, University of Erlangen-Nürnberg, Ulmenweg Erlangen, Germany Correspondence to: Pierre Åman, e-mail: pierre.aman@gu.se Keywords: sarcoma, receptor tyrosine kinases, HSP90 inhibitors, xenografts Received: April 27, 2015 Accepted: October 30, 2015 Published: November 16, 2015

Approximately 50% of patients with metastatic melanoma harbor an activating BRAF mutation. Tumors with activating mutation BRAF gene proliferate excessively and can be treated with targeted BRAF-inhibitors in combination with MEK inhibitors. The most common BRAF mutation occurs at amino acid position 600. Other BRAF mutations are rare and their predictive value for treatment response to BRAF/MEK inhibition is low. Here, we report on a patient with a BRAF A598_T599insV mutated melanoma, a mutation that has only been described in one previous melanoma patient in which the treatment response to BRAF/MEK inhibition was transient. Our patient had a large ulcerated metastasis that showed a durable complete response implying that BRAF/MEK inhibition should be considered a treatment option for this mutation. We analyzed circulating cell-free tumor DNA (ctDNA) carrying the BRAF A598_T599insV mutation throughout treatment. The allele frequency of BRAF A598_T599insV decreased during regression of the tumors, indicating that this method has potential to monitor treatment response. Our case demonstrates durable response to BRAF/MEK inhibition in a melanoma patient carrying a BRAF A598_T599insV mutation. In addition, we show that allele frequency analysis of A598_T599insV mutation in blood using ultrasensitive sequencing can be used to monitor treatment response.