98%
921
2 minutes
20
We aimed to study the prognostic impact of the mutational landscape in primary and secondary myelofibrosis. The study included 479 patients with myelofibrosis recruited from 24 French Intergroup of Myeloproliferative Neoplasms (FIM) centers. The molecular landscape was studied by high-throughput sequencing of 77 genes. A Bayesian network allowed the identification of genomic groups whose prognostic impact was studied in a multistate model considering transitions from the 3 conditions: myelofibrosis, acute leukemia, and death. Results were validated using an independent, previously published cohort (n = 276). Four genomic groups were identified: patients with TP53 mutation; patients with ≥1 mutation in EZH2, CBL, U2AF1, SRSF2, IDH1, IDH2, NRAS, or KRAS (high-risk group); patients with ASXL1-only mutation (ie, no associated mutation in TP53 or high-risk genes); and other patients. A multistate model found that both TP53 and high-risk groups were associated with leukemic transformation (hazard ratios [HRs] [95% confidence interval], 8.68 [3.32-22.73] and 3.24 [1.58-6.64], respectively) and death from myelofibrosis (HRs, 3.03 [1.66-5.56] and 1.77 [1.18-2.67], respectively). ASXL1-only mutations had no prognostic value that was confirmed in the validation cohort. However, ASXL1 mutations conferred a worse prognosis when associated with a mutation in TP53 or high-risk genes. This study provides a new definition of adverse mutations in myelofibrosis with the addition of TP53, CBL, NRAS, KRAS, and U2AF1 to previously described genes. Furthermore, our results argue that ASXL1 mutations alone cannot be considered detrimental.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948260 | PMC |
http://dx.doi.org/10.1182/bloodadvances.2020003444 | DOI Listing |
J Natl Cancer Inst
September 2025
Associate Director Laboratory for Molecular Pediatric Pathology (LaMPP), Boston Children's Hospital, Harvard Medical School, Boston, 02115, MA, USA.
Next-generation sequencing (NGS) has transformed cancer care by providing essential insights for diagnosis, prognosis, and treatment. However, variability in testing timing, reporting practices, and interpretation challenges limits its clinical impact. This manuscript highlights key opportunities to optimize somatic reporting, emphasizing the importance of timely testing throughout the cancer care continuum to maximize the diagnostic and therapeutic relevance of findings.
View Article and Find Full Text PDFCancer Epidemiol Biomarkers Prev
September 2025
Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland.
Background: T-cell densities are associated with colorectal cancer outcome, but the significance of specific Th cell subsets is incompletely understood. We aimed to investigate the role of Th1 and Th2 cells and associated cytokine profiles.
Methods: We used multiplex IHC to identify Th1 and Th2 cells on tumor samples of more than 2,000 patients with colorectal cancer (three independent cohorts).
Cancer Sci
September 2025
Department of Surgery, Asahikawa Medical University, Asahikawa, Japan.
Despite recent advances in neoadjuvant strategies for locally advanced rectal cancer (LARC), optimal chemotherapy regimens and the role of genetic biomarkers in guiding treatment remain unclear. Moreover, predictive markers are urgently needed for radiation-sparing strategies. Therefore, we aimed to assess the predictive and prognostic value of TP53, KRAS, and APC mutations in patients with LARC undergoing neoadjuvant chemotherapy (NACT) by retrospectively analyzing 43 patients with LARC who underwent NACT without radiation.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Surgery, Hebei Medical University, Shijiazhuang, Hebei, China.
Background: Tumor deposit (TD) is an independent risk factor associated with recurrence or metastasis for patients with colorectal cancer (CRC). The scenario in which both TD and lymph node metastasis (LNM) are positive is not clearly illustrated by the current TNM staging system. Simply treating one TD as one or two LNMs by a weighting factor is inappropriate.
View Article and Find Full Text PDFInt J Pediatr
August 2025
Department of Neonatology, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
This study is aimed at evaluating the cumulative effect of postnatal risk factors on the survival of preterm neonates by examining key clinical parameters and complications across various gestational ages. A retrospective cohort study was conducted using data from 1109 neonates admitted to neonatal intensive care units at two tertiary regional hospitals in Kazakhstan between 2021 and 2024. Patients were classified into three groups based on gestational age: extremely preterm (< 28 weeks, = 223), very preterm (28-31 weeks, = 384), and moderate to late preterm (32-36 weeks, = 502).
View Article and Find Full Text PDF