Results 91 to 100 of about 127,260 (361)
Machine Learning Methods in the Computational Biology of Cancer [PDF]
The objectives of this "perspective" paper are to review some recent advances in sparse feature selection for regression and classification, as well as compressed sensing, and to discuss how these might be used to develop tools to advance personalized cancer therapy.
arxiv +1 more source
Clinicoprognostical features of endometrial cancer patients with somatic mtDNA mutations [PDF]
Somatic mitochondrial DNA (mtDNA) mutations have been found in a subset of endometrial cancers (EC) from different populations. We have investigated the relationship between mtDNA changes and clinical and pathological variables of women affected by ...
Bartnik, Ewa+6 more
core +1 more source
We conducted a cross‐organ review of surgical outcomes in older cancer patients based on literature cited in Japanese clinical guidelines. This study summarizes postoperative complication rates and survival outcomes across five major cancer types. The findings aim to support the development of geriatric oncology surgical guidelines tailored to Japan's ...
Chie Tanaka+14 more
wiley +1 more source
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data [PDF]
Renal cell carcinoma represents a significant global health challenge with a low survival rate. This research aimed to devise a comprehensive deep-learning model capable of predicting survival probabilities in patients with renal cell carcinoma by integrating CT imaging and clinical data and addressing the limitations observed in prior studies. The aim
arxiv
Glucocorticoid receptor expression in 20 solid tumor types using immunohistochemistry assay. [PDF]
BackgroundGlucocorticoid receptor (GR) activity plays a role in many aspects of human physiology and may play a crucial role in chemotherapy resistance in a wide variety of solid tumors.
Block, Thaddeus S+4 more
core +2 more sources
Advances on Albumin‐Based Carriers for Anticancer Drug Delivery
This study systematically classifies the drug delivery modes of albumin by examining the characteristics of its surface‐active groups and internal binding sites. It provides an in‐depth analysis of various drug delivery strategies and their corresponding targeting mechanisms.
Ruoli Zhou+4 more
wiley +1 more source
E-cadherin and CD10 expression in atypical hyperplastic and malignant endometrial lesions
Background: Loss of E-cadherin is a critical step for development and progression of malignant tumors. CD10; a marker of non-neoplastic and neoplastic endometrial stroma, is associated with aggressiveness of many epithelial malignancies.
Ahmed R.H. Ahmed, Eman M.S. Muhammad
doaj +1 more source
High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma
Background S100A2, a member of the S100 protein family, is abnormally expressed and plays a vital role in multiple cancers. However, little is known about the clinical significance of S100A2 in endometrial carcinoma. Methods Clinicopathological data were
Qinzhen Zhang+4 more
doaj +1 more source
Background: Inflammation has an important role in the progression of endometrial carcinoma. Aims: The aim of this study is to find the association between neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and CA125 in endometrial ...
Bharti Kumari+5 more
doaj +1 more source
Loss of PTEN Immunoexpression in Endometrial Carcinoma: A Narrative Review [PDF]
Endometrial carcinoma is one of the important health issues addressed globally. Therefore, understanding the molecular pathogenesis of endometrial carcinoma for the purpose of prognostic and predictive markers remains in the centre of research.
Garima Chandrakar, Arvind Bhake
doaj +1 more source