All articles tagged with #ovarian cancer
The Parliamentary and Health Service Ombudsman found delays of 49 days to diagnose and 81 days to start treatment for terminal ovarian cancer at Mid and South Essex NHS Foundation Trust, far exceeding targets, contributing to the patient’s death; the trust apologized and outlined reforms to speed waiting times.
Laboratory studies suggest that a combination of cannabis-derived compounds THC and CBD can inhibit the growth and spread of ovarian cancer cells with minimal effects on healthy cells, offering potential for new, less toxic treatments, though further research is needed to confirm efficacy and safety in vivo.
A Los Angeles jury awarded $40 million to two women claiming Johnson & Johnson's talcum powder caused their ovarian cancer, amid ongoing legal battles over the safety of talc in their products. Johnson & Johnson plans to appeal the verdict, which follows other recent large settlements related to talc and cancer claims.
Diane Davis's advanced ovarian cancer was initially thought incurable until molecular testing revealed she had Lynch syndrome, a genetic condition that made her cancer more responsive to immunotherapy, leading to a complete remission and highlighting the importance of genetic testing in cancer treatment.
Christiane Amanpour announced her ovarian cancer has returned for the third time, despite surgery and treatment, emphasizing the importance of listening to your body and regular monitoring for early detection and management of cancer.
CNN's Christiane Amanpour announced she is battling a rare form of ovarian cancer for the second time, now in remission thanks to immunotherapy, and emphasized the importance of early detection and listening to one's body.
Christiane Amanpour announced her ovarian cancer has returned in a rare form, but is well-managed, emphasizing the importance of listening to your body and early detection for better outcomes.
Christiane Amanpour announced her ovarian cancer has returned for a third time, but she is managing it well and emphasizes the importance of listening to one's body and having a strong support system. She shared her journey publicly to raise awareness and highlight the significance of early diagnosis and community support in battling cancer.
The study introduces CloneSeq-SV, a method combining single-cell whole-genome sequencing and circulating tumor DNA analysis to track clonal evolution and structural variants in ovarian cancer, revealing mechanisms of drug resistance and potential for adaptive therapy.
An Ohio mother of two was diagnosed with ovarian cancer after initially mistaking her symptoms for a sinus infection, highlighting the importance of awareness and early detection of this often silent disease, especially during Ovarian Cancer Awareness Month.
Natasha Reynolds, a 23-year-old woman from Sheffield, experienced an 18-month delay in ovarian cancer diagnosis due to her symptoms being dismissed by doctors as IBS or endometriosis, highlighting the need for better listening and investigation by medical professionals. Now cancer-free after surgery, she urges women to advocate for themselves and for doctors to take persistent symptoms seriously, as new NHS guidelines aim to improve early diagnosis.
Raludotatug deruxtecan has received FDA Breakthrough Therapy Designation for treating CDH6-expressing platinum-resistant ovarian, peritoneal, or fallopian tube cancers, based on promising early trial data, marking a significant step in developing new treatments for these difficult-to-treat cancers.
During National Ovarian Cancer Awareness Month, the President emphasizes the fight against ovarian cancer, highlights efforts to improve healthcare access and affordability, and commits to eradicating all forms of cancer to build a healthier future for Americans.
Researchers have developed a blood test using machine learning to detect ovarian cancer early with high accuracy, potentially improving outcomes and reducing healthcare costs by identifying the disease before symptoms become severe.
A new blood test utilizing machine learning shows high accuracy in detecting ovarian cancer at early stages, potentially improving diagnosis and outcomes for women, pending regulatory approval and further validation.