Results 221 to 230 of about 93,154 (303)

Tumor Invasive Border Index (TIBI) in colorectal cancer: linking infiltrative morphology to molecular insights

The Journal of Pathology, EarlyView.
Abstract Tumor border configuration influences colorectal cancer (CRC) prognosis, yet its molecular determinants remain unclear and existing assessment criteria have faced challenges with reproducibility. We introduce the Tumor Invasive Border Index (TIBI), a novel and reproducible method that quantifies the proportion of tumor stroma and adipose ...
Akseli Kehusmaa, Jouni Härkönen, Huayi Li, Päivi Sirniö, Ville K Äijälä, Henna Karjalainen, Meeri Kastinen, Vilja V Tapiainen, Tuomo Mantere, Vesa‐Matti Pohjanen, Hanna Elomaa, Onni Sirkiä, Nicolas Pasquier, Maarit Ahtiainen, Olli Helminen, Erkki‐Ville Wirta, Taneli T Mattila, Outi Lindgren, Janette Savela, Jukka Rintala, Sanna Meriläinen, Juha Saarnio, Tero Rautio, Toni T Seppälä, Jan Böhm, Jukka‐Pekka Mecklin, Markus J Mäkinen, Anne Tuomisto, Johanna Ivaska, Juha P Väyrynen   +29 more
wiley   +1 more source

Diagnosis and Management of Prenatal Hereditary Pyropoikilocytosis

Prenatal Diagnosis, EarlyView.
ABSTRACT Hereditary pyropoikilocytosis (HPP) is a severe hemolytic anemia caused by variants in SPTA1, SPTB, and EPB41. These weaken horizontal interactions in the erythrocyte cytoskeleton, causing membrane fragmentation and splenic sequestration. It will readily cause fetal anemia and often hydrops fetalis. Prenatal diagnosis requires first ruling out
Connor Hartzell, Samantha Stover, Nora Gibson, Timothy Olson, James Connelly, Matthew Grace, Jennifer Andrews   +6 more
wiley   +1 more source

Leveraging a chromosomal instability-based signature to predict the prognosis and immune landscape of breast cancer. [PDF]

Genes Dis
Wang H, Dai H, Wang Y, Wu Q, Zhu M, Yin W, Lu J.   +6 more
europepmc   +1 more source

Phenotypic Clues in Infantile‐Onset Parkinsonism‐Dystonia‐2: A Treatable Neurotransmitter Disorder

Movement Disorders Clinical Practice, EarlyView.
Sangeetha Yoganathan, Haya S. AlFaris, Lindsey Vogt, Michele Eid, Anika Menetrey, Sayoni Roy Chowdhury, Dawn Codeiro, Pradeep Krishnan, Liali Aljouda, Emily W.Y. Tam, Carolina Gorodetsky   +10 more
wiley   +1 more source

Biosurfactant production by Pseudomonas aeruginosa isolated from mining waste: From genomic analysis to development of a polymeric composite for removal of hexavalent chromium

Polymer International, EarlyView.
Biosurfactant was produced by Pseudomonas aeruginosa using andiroba waste from Amazonia. A biosurfactant–alginate composite (Alg/BioS) was successfully synthesized via ionotropic gelation, and achieved up to 70% Cr6+ removal from water. Abstract Environmental contamination by heavy metals represents a significant challenge due to their persistence in ...
Paulo Diniz Austriaco, Emilly Cruz da Silva, Glenda Sores Gomes, Joane Almeida Alves, Amanda Vidal, Leandro Argolo, Rafaela Ribeiro, Luciana Souza, José Augusto Pires Bitencourt, Leonardo Brasil Felipe, Leonie Asfora Sarubbo, Sidnei Cerqueira dos Santos   +11 more
wiley   +1 more source

Chromosomal Instability as a Driver of Therapeutic Resistance and Phenotypic Plasticity in Non-Small Cell Lung Cancer. [PDF]

J Cell Mol Med
Ma D, Wang J, Gao K.
europepmc   +1 more source

Molecular and genomic advances in breast cancer: A comprehensive review of predictive and therapeutic innovations

Precision Medical Sciences, EarlyView.
Breast cancer subtypes, estrogen receptor‐positive (ER+), HER2‐enriched, and TNBC, are defined by genomic and epigenetic signatures. Multi‐omics profiling, immunotherapy, liquid biopsy, and AI‐driven radiogenomics enable precision medicine. Tools like Oncotype DX and PAM50 support personalized care.
Samina Malik, Arif Malik, Shahzad Ahmad, Hassan Mohsin, Shazia Iqbal   +4 more
wiley   +1 more source

CINs of the cytoplasm: dissecting dsRNA signaling in chromosomal instability. [PDF]

Mol Oncol
Skolariki A, Jady-Clark RL, Parkes EE.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Predicting resistance to chemotherapy using chromosomal instability signatures. [PDF]

Nat Genet
Thompson JS, Madrid L, Hernando B, Sauer CM, Vias M, Escobar-Rey M, Leung WK, Garcia-Lopez D, Huckstep J, Sekowska M, Hosking K, Jimenez-Linan M, Reinius MAV, Roy A, Abdulle O, Pangonyte J, Dobson H, Cullen AE, De Silva D, Gómez-Sánchez D, Torres M, Fernández-Sanromán Á, Sanders D, Martins FC, Funingana IG, Codacci-Pisanelli G, Quintela-Fandino M, Markowetz F, Yip J, Brenton JD, Piskorz AM, Macintyre G.   +31 more
europepmc   +1 more source