
Researchers from the Moscow Institute of Physics and Technology and their colleagues have developed the first technique for personalizing stomach cancer therapy based on RNA sequencing of tumor cells.
Stomach cancer is the fifth-deadliest oncological disease. It is seldom diagnosed in the early stages, which complicates treatment. There are several treatment options available that rely on chemotherapy and therapeutic antibodies. However, patient response is often unpredictable, so personalized therapies with drug prescriptions tailored to individual cases are required.
Problematic recurrent tumors of the stomach are treated with therapeutic antibodies. They block the receptors on the surface of cells that are responsible for receiving growth-promoting signals. Without them, cell division stops and the tumor does not increase in size. Preventing the growth of blood vessels is particularly important, because they supply nutrients and oxygen to the tumor. Ramucirumab is a therapeutic antibody used to disrupt the growth of blood vessels in tumor tissue. The efficacy of this drug varies widely from patient to patient.
MIPT bioinformaticians and their colleagues from medical research centers and the industry have proposed that a patient’s data on the gene expression levels in cancer be used to evaluate ramucirumab efficacy in each individual case.
“This is virtually the first published case of successful [ramucirumab] prescription to patients with gastric cancer, which was not random but rather informed by the analysis of the molecular markers we track based on RNA sequencing,” said Maxim Sorokin, a senior researcher at the MIPT Laboratory for Translational Genomic Bioinformatics and the head of the Bioinformatics Department at Oncobox.
Combined with information technology, modern molecular biology methods enable researchers to collect qualitative data on the expression of every gene in a cell. By analyzing these data, it is possible to find the key to diagnosing oncological diseases and predicting the efficacy of their treatment.
The study reported in this story was co-authored by researchers from MIPT, Sechenov University, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of RAS, Blokhin National Medical Research Center of Oncology, Vitamed Clinical Center, Vladimirsky Moscow Regional Research Clinical Institute, and Oncobox.
Source – Moscow Institute of Physics and Technology
Sorokin M, Poddubskaya E, Baranova M, Glusker A, Kogoniya L, Markarova E, Allina D, Suntsova M, Tkachev V, Garazha A, Sekacheva M, Buzdin A. (2020) RNA Sequencing Profiles and Diagnostic Signatures Linked With Response to Ramucirumab in Gastric Cancer. Cold Spring Harb Mol Case Stud 6(2):a004945. [article]
Researchers from the Moscow Institute of Physics and Technology and their colleagues have developed the first technique for personalizing stomach cancer therapy based on RNA sequencing of tumor cells.
Stomach cancer is the fifth-deadliest oncological disease. It is seldom diagnosed in the early stages, which complicates treatment. There are several treatment options available that rely on chemotherapy and therapeutic antibodies. However, patient response is often unpredictable, so personalized therapies with drug prescriptions tailored to individual cases are required.
Problematic recurrent tumors of the stomach are treated with therapeutic antibodies. They block the receptors on the surface of cells that are responsible for receiving growth-promoting signals. Without them, cell division stops and the tumor does not increase in size. Preventing the growth of blood vessels is particularly important, because they supply nutrients and oxygen to the tumor. Ramucirumab is a therapeutic antibody used to disrupt the growth of blood vessels in tumor tissue. The efficacy of this drug varies widely from patient to patient.
MIPT bioinformaticians and their colleagues from medical research centers and the industry have proposed that a patient’s data on the gene expression levels in cancer be used to evaluate ramucirumab efficacy in each individual case.
Combined with information technology, modern molecular biology methods enable researchers to collect qualitative data on the expression of every gene in a cell. By analyzing these data, it is possible to find the key to diagnosing oncological diseases and predicting the efficacy of their treatment.
The study reported in this story was co-authored by researchers from MIPT, Sechenov University, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of RAS, Blokhin National Medical Research Center of Oncology, Vitamed Clinical Center, Vladimirsky Moscow Regional Research Clinical Institute, and Oncobox.
Source – Moscow Institute of Physics and Technology
Sorokin M, Poddubskaya E, Baranova M, Glusker A, Kogoniya L, Markarova E, Allina D, Suntsova M, Tkachev V, Garazha A, Sekacheva M, Buzdin A. (2020) RNA Sequencing Profiles and Diagnostic Signatures Linked With Response to Ramucirumab in Gastric Cancer. Cold Spring Harb Mol Case Stud 6(2):a004945. [article]
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Researchers from the Moscow Institute of Physics and Technology and their colleagues have developed the first technique for personalizing stomach cancer therapy based on RNA sequencing of tumor cells.
Stomach cancer is the fifth-deadliest oncological disease. It is seldom diagnosed in the early stages, which complicates treatment. There are several treatment options available that rely on chemotherapy and therapeutic antibodies. However, patient response is often unpredictable, so personalized therapies with drug prescriptions tailored to individual cases are required.
Problematic recurrent tumors of the stomach are treated with therapeutic antibodies. They block the receptors on the surface of cells that are responsible for receiving growth-promoting signals. Without them, cell division stops and the tumor does not increase in size. Preventing the growth of blood vessels is particularly important, because they supply nutrients and oxygen to the tumor. Ramucirumab is a therapeutic antibody used to disrupt the growth of blood vessels in tumor tissue. The efficacy of this drug varies widely from patient to patient.
MIPT bioinformaticians and their colleagues from medical research centers and the industry have proposed that a patient’s data on the gene expression levels in cancer be used to evaluate ramucirumab efficacy in each individual case.
Combined with information technology, modern molecular biology methods enable researchers to collect qualitative data on the expression of every gene in a cell. By analyzing these data, it is possible to find the key to diagnosing oncological diseases and predicting the efficacy of their treatment.
The study reported in this story was co-authored by researchers from MIPT, Sechenov University, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of RAS, Blokhin National Medical Research Center of Oncology, Vitamed Clinical Center, Vladimirsky Moscow Regional Research Clinical Institute, and Oncobox.
Source – Moscow Institute of Physics and Technology
Sorokin M, Poddubskaya E, Baranova M, Glusker A, Kogoniya L, Markarova E, Allina D, Suntsova M, Tkachev V, Garazha A, Sekacheva M, Buzdin A. (2020) RNA Sequencing Profiles and Diagnostic Signatures Linked With Response to Ramucirumab in Gastric Cancer. Cold Spring Harb Mol Case Stud 6(2):a004945. [article]
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RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Atlas of the brain’s striatum could guide researchers to new drug treatments
Immune cells offer insights on billion-dollar virus
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Unlocking the past – new method helps gain insights into old tissue
Novel AI model trained on RNA-Seq data accurately detects key gene mutations and predicts biomarkers across 32 cancer types
Transcriptomic aging clock reveals age-related molecular patterns in opioid dependence
RNA sequencing helps predict stem cell transplant benefit in pediatric AML
Protein ‘switch’ determines whether liposarcoma cells will become aggressive
Precursor tRNAs sense temperature changes: heat stress-induced capped pre-tRNAs suppress protein synthesis
Ketamine increases neuroplasticity in female mice but not in males
Somatic mutations linked to vascular damage in progeria
Scientists map dormant cancer cells’ hideouts, opening new targets for treatment
Soluble signals released by neighboring cells direct how the human kidney is built
Genetics influence how cancer arises – and how it evolves
RNA-based testing uncovers extraordinary diversity in mutations driving lung cancer
Study offers new insights into why ex-smokers remain at elevated risk of lung disease
Learning the grammar of gene regulation
New findings could transform new treatment for rare brain tumor astroblastoma
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