Researchers at the University of Oxford have used a new technique to identify six previously unknown cell types in human Fallopian tubes, paving the way for faster identification and treatment of ovarian cancer. The researchers are now closer to finding the cell of origin of ovarian cancer, and their ultimate aim of developing a much needed screening tool for ovarian cancer.
Ovarian cancer is the sixth most common cancer in women, with around 7,500 new cases diagnosed in the UK each year (1). Currently only 35% of patients in England will live 5 years beyond their diagnosis. Less than 1 in 3 patients in England are diagnosed at Stage 1 where survival rates are as good as 95% (2). The development of screening tools have transformed survival rates for other cancers such as cervical and breast cancer.
The new technique is called single cell RNA sequencing. It examines all the RNA molecules in a cell, whereas the traditional technique can only look at a group of cells at a time. In this study, the researchers used single-cell sequencing to look at the RNA in individual normal cells from the inner layer (epithelium) of Fallopian tubes, which carry eggs from the ovaries to the uterus, and which is the origin of the vast majority of ovarian cancers. By doing so, they were able to identify new subtypes of normal Fallopian tube cells.
Surprisingly, the molecular fingerprints of these subtypes were mirrored in individual ovarian cancers. Scientists discovered that single cell sequencing of the normal Fallopian tube can identify a particular group of ovarian cancer patients who have the poorest chance of surviving the disease and do not benefit from current treatments. Focussing on new treatments for this particular group of patients will be an important way to improve overall survival rates.
Professor Ahmed Ashour Ahmed, Director of the Ovarian Cancer Cell Laboratory at the MRC Weatherall Institute of Molecular Medicine at Oxford University, said: ‘Identifying the type of cancer cells is an important early step in choosing which drugs and treatments to use because different types of cells respond differently to treatment. The “Oxford Classic”, our new tumour classifier should give us much more accurate predictions for disease outcome in patients as well as helping us to develop targeted therapies for each type of cancer.’
Zhiyuan Hu, first author on the paper, said: ‘The discovery of new types of cells sheds new light onto the complexity of ovarian cancers. This research should take us a step closer to identifying the cell of origin of ovarian cancer and to developing a new tool for screening. It also opens the door for similar research for other types of cancers.’
Cary Wakefield, Chief Executive of charity Ovarian Cancer Action who funded the research, said: ‘We fund world-class research to address the low survival rate women diagnosed with ovarian cancer currently face. These exciting findings take us closer to both a screening tool and personalised treatments, the two key elements we know will transform the lives of women diagnosed with ovarian cancer today and for generations to come.’
Source – University of Oxford
Hu Z et al. (2020) The Repertoire of Serous Ovarian Cancer Non-genetic Heterogeneity Revealed by Single-Cell Sequencing of Normal Fallopian Tube Epithelial Cells. Cancer Cell 37(2):226-242.e7. [abstract]
Researchers at the University of Oxford have used a new technique to identify six previously unknown cell types in human Fallopian tubes, paving the way for faster identification and treatment of ovarian cancer. The researchers are now closer to finding the cell of origin of ovarian cancer, and their ultimate aim of developing a much needed screening tool for ovarian cancer.
Ovarian cancer is the sixth most common cancer in women, with around 7,500 new cases diagnosed in the UK each year (1). Currently only 35% of patients in England will live 5 years beyond their diagnosis. Less than 1 in 3 patients in England are diagnosed at Stage 1 where survival rates are as good as 95% (2). The development of screening tools have transformed survival rates for other cancers such as cervical and breast cancer.
The new technique is called single cell RNA sequencing. It examines all the RNA molecules in a cell, whereas the traditional technique can only look at a group of cells at a time. In this study, the researchers used single-cell sequencing to look at the RNA in individual normal cells from the inner layer (epithelium) of Fallopian tubes, which carry eggs from the ovaries to the uterus, and which is the origin of the vast majority of ovarian cancers. By doing so, they were able to identify new subtypes of normal Fallopian tube cells.
Surprisingly, the molecular fingerprints of these subtypes were mirrored in individual ovarian cancers. Scientists discovered that single cell sequencing of the normal Fallopian tube can identify a particular group of ovarian cancer patients who have the poorest chance of surviving the disease and do not benefit from current treatments. Focussing on new treatments for this particular group of patients will be an important way to improve overall survival rates.
Source – University of Oxford
Hu Z et al. (2020) The Repertoire of Serous Ovarian Cancer Non-genetic Heterogeneity Revealed by Single-Cell Sequencing of Normal Fallopian Tube Epithelial Cells. Cancer Cell 37(2):226-242.e7. [abstract]
Related Posts
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
Researchers at the University of Oxford have used a new technique to identify six previously unknown cell types in human Fallopian tubes, paving the way for faster identification and treatment of ovarian cancer. The researchers are now closer to finding the cell of origin of ovarian cancer, and their ultimate aim of developing a much needed screening tool for ovarian cancer.
Ovarian cancer is the sixth most common cancer in women, with around 7,500 new cases diagnosed in the UK each year (1). Currently only 35% of patients in England will live 5 years beyond their diagnosis. Less than 1 in 3 patients in England are diagnosed at Stage 1 where survival rates are as good as 95% (2). The development of screening tools have transformed survival rates for other cancers such as cervical and breast cancer.
The new technique is called single cell RNA sequencing. It examines all the RNA molecules in a cell, whereas the traditional technique can only look at a group of cells at a time. In this study, the researchers used single-cell sequencing to look at the RNA in individual normal cells from the inner layer (epithelium) of Fallopian tubes, which carry eggs from the ovaries to the uterus, and which is the origin of the vast majority of ovarian cancers. By doing so, they were able to identify new subtypes of normal Fallopian tube cells.
Surprisingly, the molecular fingerprints of these subtypes were mirrored in individual ovarian cancers. Scientists discovered that single cell sequencing of the normal Fallopian tube can identify a particular group of ovarian cancer patients who have the poorest chance of surviving the disease and do not benefit from current treatments. Focussing on new treatments for this particular group of patients will be an important way to improve overall survival rates.
Source – University of Oxford
Hu Z et al. (2020) The Repertoire of Serous Ovarian Cancer Non-genetic Heterogeneity Revealed by Single-Cell Sequencing of Normal Fallopian Tube Epithelial Cells. Cancer Cell 37(2):226-242.e7. [abstract]
Related Posts
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
Stay Connected
Submit a Post to the Blog
Recent Posts
Subscribe to the RNA-Seq Blog
RNA-Seq Products & Services