Publications by authors named "Ankita Lawarde"
Article Synopsis
- * Researchers found that these endometriotic lesions use more sugar for energy, which suggests that we might be able to treat the disease without hormones by focusing on how the cells get their energy.
- * They studied different types of cells in both healthy and affected tissue from women with endometriosis and discovered that certain cells change a lot in terms of energy use, pointing to new ways to possibly treat the disease.
Background: MicroRNAs (miRNAs) are key regulators of gene expression that have been implicated in gynecological and breast cancers. Understanding the cancer stage-wise expression patterns of miRNAs and their interactions with other RNA molecules in cancer is crucial to improve cancer diagnosis and treatment planning. Comprehensive web tools that integrate data on the transcriptome, circulating miRNAs, and their validated targets to derive beneficial conclusions in cancer research are lacking.
View Article and Find Full Text PDFChildhood medulloblastoma is a malignant form of brain tumor that is widely classified into four subgroups based on molecular and genetic characteristics. Accurate classification of these subgroups is crucial for appropriate treatment, monitoring plans, and targeted therapies. However, misclassification between groups 3 and 4 is common.
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- The study looks at how hormones affect genes in cervical cells during a woman's menstrual cycle.
- Researchers took samples from women at different cycle phases and checked the gene activity using a special technique called RNA sequencing.
- They found that while cervical cells do change a bit during the cycle, these changes don't really help in understanding how ready the uterus is for a baby.
Research Question: Are paired samples of endometrium and ovarian endometriomas synchronous with each other throughout the menstrual cycle?
Design: The expression levels of 57 endometrial receptivity-associated genes were determined from matched endometrial and endometrioma samples (n=31) collected from women with endometriosis throughout the menstrual cycle.
Results: The expression profile of endometrial receptivity genes divided endometrial samples according to their menstrual cycle phase. Endometrioma samples grouped together irrespective of the menstrual cycle phase and formed a cluster distinct from endometrial samples.
Metastatic cancers account for up to 90% of cancer-related deaths. The clear differentiation of metastatic cancers from primary cancers is crucial for cancer type identification and developing targeted treatment for each cancer type. DNA methylation patterns are suggested to be an intriguing target for cancer prediction and are also considered to be an important mediator for the transition to metastatic cancer.
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