Quantitative ctDNA Detection in Hepatoblastoma: Implications for Precision Medicine.

Hepatoblastoma is characterized by driver mutations in , making it an attractive biomarker for a liquid biopsy approach utilizing circulating tumor DNA (ctDNA). This prospective observational study sought to ascertain the feasibility of ctDNA detection in patients with hepatoblastoma and explore its associations with established clinical indicators and biomarkers, including serum Alpha-fetoprotein (AFP). We obtained 38 plasma samples and 17 tumor samples from 20 patients with hepatoblastoma.

From Pediatric to Adult Brain Cancer: Exploring Histone H3 Mutations in Australian Brain Cancer Patients.

Genetic histone variants have been implicated in cancer development and progression. Mutations affecting the histone 3 (H3) family, H3.1 (encoded by and ) and H3.

Divergence of mutational signatures in association with breast cancer subtype.

Abnormal molecular processes occurring throughout the genome leave distinct somatic mutational patterns termed mutational signatures. Exploring the associations between mutational signatures and clinicopathological features can unravel potential mechanisms driving tumorigenic processes. We analyzed whole genome sequencing (WGS) data of tumor and peripheral blood samples from 37 primary breast cancer (BC) patients receiving neoadjuvant chemotherapy.

Neuroblastoma Molecular Risk-Stratification of DNA Copy Number and Genotyping via Cell-Free Circulating Tumor DNA Profiling.

Background: amplification (MNA), segmental chromosomal aberrations (SCA) and activating mutations are biomarkers for risk-group stratification and for targeted therapeutics for neuroblastoma, both of which are currently assessed on tissue biopsy. Increase in demand for tumor genetic testing for neuroblastoma diagnosis is posing a challenge to current practice, as the small size of the core needle biopsies obtained are required for multiple molecular tests. We evaluated the utility of detecting these biomarkers in the circulation.

Roadmap to Liquid Biopsy Biobanking from Pediatric Cancers-Challenges and Opportunities.

Liquid biopsy is rapidly gaining traction for potentially revolutionizing cancer diagnosis and treatment through blood-based utilization of shed biomolecules. This approach can provide a global picture of the cancer in real time, at multiple time points, and with minimal invasiveness. In this review, we familiarize cancer biobanks with the principles used for liquid biopsy work and highlight unique aspects of applying liquid biopsy approaches to pediatric cancers to enable high-quality and efficient translational research.

Exploration of CTNNB1 ctDNA as a putative biomarker for hepatoblastoma.

Driver mutations in the CTNNB1 gene (encoding β-catenin) are a hallmark of sporadic hepatoblastoma (HBL). Our results show that CTNNB1 circulating tumour DNA (ctDNA) is readily detected in patients diagnosed with localised HBL, with serial sampling along the course of therapy and follow up providing a sensitive mechanism to monitor tumour dynamics and response to treatment. This exciting potential for CTNNB1 ctDNA to serve as a biomarker for treatment response in HBL holds clinical value, and requires assessment in a larger cohort of mixed tumour stages and recurrent disease.

TNFR2+ TILs are significantly associated with improved survival in triple-negative breast cancer patients.

In view of the relatively limited efficacy of immunotherapies targeting the PD-1-PD-L1 axis in triple-negative breast cancer (TNBC) and of published reports on tumor-promoting roles of TNFR2+ tumor-infiltrating lymphocytes (TNFR2+ TILs), we determined the incidence of TNFR2+ TILs in TNBC patient tumors, their association with disease outcome and relations with PD-1+ TILs. Using a cohort of treatment-naïve TNBC patients with long follow-up (n = 70), we determined the presence of TNFR2+ TILs and PD-1+ TILs by immunohistochemistry. TILs (≥ 1% of cellular mass) and TNFR2+ TILs (≥ 1% of total TILs) were detected in 96% and 74% of tumors, respectively.

Correction to: ESR1 mutations are frequent in newly diagnosed metastatic and loco-regional recurrence of endocrine-treated breast cancer and carry worse prognosis.

After the publication of the original article [1], we were notified the upper panel of the Fig. 1, where the patients' codes are listed, was cropped by mistake so the patients 1-8 are repeated.

ESR1 mutations are frequent in newly diagnosed metastatic and loco-regional recurrence of endocrine-treated breast cancer and carry worse prognosis.

Background: Emerging mutations in the ESR1 gene that encodes for the estrogen receptor (ER) are associated with resistance to endocrine therapy. ESR1 mutations rarely exist in primary tumors (~ 1%) but are relatively common (10-50%) in metastatic, endocrine therapy-resistant cancers and are associated with a shorter progression-free survival. Little is known about the incidence and clinical implication of these mutations in early recurrence events, such as local recurrences or newly diagnosed metastatic disease.

Tumor Evolution Inferred by Patterns of microRNA Expression through the Course of Disease, Therapy, and Recurrence in Breast Cancer.

Purpose: Molecular evolution of tumors during progression, therapy, and metastasis is a major clinical challenge and the main reason for resistance to therapy. We hypothesized that microRNAs (miRNAs) that exhibit similar variation of expression through the course of disease in several patients have a significant function in the tumorigenic process.

Experimental Design: Exploration of evolving disease by profiling 800 miRNA expression from serial samples of individual breast cancer patients at several time points: pretreatment, posttreatment, lymph nodes, and recurrence sites when available (58 unique samples from 19 patients).

Multiple MAPK cascades regulate the transcription of IME1, the master transcriptional activator of meiosis in Saccharomyces cerevisiae.

The choice between alternative developmental pathways is primarily controlled at the level of transcription. Induction of meiosis in budding yeasts in response to nutrient levels provides a system to investigate the molecular basis of cellular decision-making. In Saccharomyces cerevisiae, entry into meiosis depends on multiple signals converging upon IME1, the master transcriptional activator of meiosis.