Introduction: Human endogenous retroviruses (HERVs) account for approximately 8% of the human genome, where they are integrated and typically remain silent. Despite their inactivation, numerous retroviral sequences retain intact open reading frames capable of producing retroviral transcripts and/or proteins, which have been detected in colon cancer.
Methods: Three different cohorts of patients who underwent surgery at three different hospitals, comprising 167 Italian and Tunisian colon cancer patients, were analyzed.
Background: Anaplastic lymphoma kinase (ALK) plays a role in the development of lymphoma, lung cancer and neuroblastoma. While tyrosine kinase inhibitors (TKIs) have improved treatment outcomes, relapse remains a challenge due to on-target mutations and off-target resistance mechanisms. ALK-positive (ALK+) tumors can evade the immune system, partly through tumor-associated macrophages (TAMs) that facilitate immune escape.
View Article and Find Full Text PDFBackground: Unstable hemoglobins are caused by single amino acid substitutions in the HBB gene, often affecting key histidine residues, leading to protein destabilization and hemolytic crises. In contrast, long HBB variants, exceeding 20 bp, are rare and associated with a β-thalassemia phenotype due to disrupted α-β chain interactions. We describe a family wherein four of six members carry a novel 23-amino-acid in-frame duplication of HBB (c.
View Article and Find Full Text PDFBackground: Induction with daratumumab-based regimens followed by autologous stem cell transplantation is the current standard for newly diagnosed multiple myeloma (NDMM) patients eligible for intensive chemotherapy. However, concerns emerged regarding potential negative effects following daratumumab-based treatment on CD34+ mobilization. We here compared CD34+ mobilization and clonogenic potential between daratumumab and non-daratumumab based therapy without upfront plerixafor administration among patients affected by NDMM.
View Article and Find Full Text PDFIn a first-of-its-kind study, we assessed the capabilities of large language models (LLMs) in making complex decisions in haematopoietic stem cell transplantation. The evaluation was conducted not only for Generative Pre-trained Transformer 4 (GPT-4) but also conducted on other artificial intelligence models: PaLm 2 and Llama-2. Using detailed haematological histories that include both clinical, molecular and donor data, we conducted a triple-blind survey to compare LLMs to haematology residents.
View Article and Find Full Text PDFIntroduction: COVID-19 pandemic had a considerable impact among haematological patients. On the other hand, the effect of this disease on patients (pts) affected by Chronic Myeloid Leukemia (CML) is not clearly defined.
Objectives: The primary objective of this study was to evaluate mortality-hospitalization rates and possible protective factors for hospitalization in CML pts affected by COVID.