Endometrial Carcinoma
It is one of the most common gynecological cancers, with a high incidence rate.
This malignant neoplasm can present with abnormal vaginal bleeding, pelvic pain, and other symptoms.
Accurate diagnosis and effective treatment are crucial for managing Endometrial Carcinoma and improving patient outcomes.
Resaerch in this area is vital for advancing our understanding and improving clinical care.
Most cited protocols related to «Endometrial Carcinoma»
Protocol full text hidden due to copyright restrictions
Open the protocol to access the free full text link
Protocol full text hidden due to copyright restrictions
Open the protocol to access the free full text link
Proteomic spectral count data on the same samples originated from Orbitrap and FT-ICR mass spectrometers. Details of the sample preparation, instrumentation, and spectral identifications are in Maxwell et al[14 ]. The gene expression data were from Affymetrix U133 Plus 2.0 microarrays. The raw data.cel and.chp files have been submitted to GEO in a MIAME compliant format (
Most recents protocols related to «Endometrial Carcinoma»
2. Endometrioid adenocarcinoma combined with other histological types
3. Non-endometrial carcinoma, for example, serous carcinoma, clear cell carcinoma, undifferentiated carcinoma, neuroendocrine carcinoma, or uterine sarcoma (including carcinosarcoma)
4. An interval between the operation and the start of adjuvant therapy exceeding 8 weeks
5. Previous pelvic radiotherapy
6. Previous history of a second malignancy, unless potentially curative treatment has been completed with no evidence of malignancy for 5 years
7. History of myocardial infarction, stroke, unstable angina, decompensated heart failure, or deep vein thrombosis
8. Impaired renal or cardiac function.
9. Known intolerance to intervention therapy or any excipients
10. Known psychiatric or substance abuse disorders that would interfere with the participant's ability to cooperate with the requirements of the study.
The secondary objective is to determine the preferred treatment for each subgroup following different recommendations with regard to the treatment efficacy, safety and tolerability. We hypothesise that de-escalated treatment strategies yield better quality-of-life outcomes without sacrificing treatment efficacy in patients with POLE mutation (POLEmut) and partial mismatch repair deficient (MMRd) or non-specific molecular profile (NSMP) subgroups. In contrast, escalated treatment is considered necessary for the p53-abnormal (p53abn) subgroup.
Schematic overview of the algorithm.
ICD-10: C349X (lung cancer recurrence diagnosis);
ICD-10: C76*-C79* or C34xM (metastasis diagnosis) and no new primary cancer registered after the conclusion of primary lung cancer treatment;
SNOMED morphology codes M8*-M9* and 7 (malignant recurrence) in the fifth digit;
SNOMED morphology codes M8*-M9* and 4 (direct spread to surrounding tissue) or 6 (malignant metastasis) in the fifth digit and a morphology similar to a morphology code registered within 90 days of the primary lung cancer diagnosis date or date of lung cancer surgery;
Radiotherapy or chemotherapy procedure codes combined with a diagnosis code indicating lung cancer (ICD-10: C34*);
Radiotherapy or chemotherapy procedure codes combined with a diagnosis code indicating metastases (ICD-10: C76*-C79* or C34xM) and no new primary cancer registered after the conclusion of primary lung cancer treatment.
Top products related to «Endometrial Carcinoma»
More about "Endometrial Carcinoma"
As one of the most common gynecological cancers, it has a high incidence rate and can present with various symptoms such as abnormal vaginal bleeding, pelvic pain, and other related issues.
Accurate diagnosis and effective treatment are crucial for managing Endometrial Carcinoma and improving patient outcomes.
Research in this area is vital for advancing our understanding and improving clinical care.
Key subtopics include the use of cell lines like FBS, HEC-1A, RL95-2, HEC-1B, AN3CA, and media such as DMEM and DMEM/F12, as well as the application of antibiotics like Penicillin and Streptomycin in Endometrial Carcinoma research.
Utilizing the latest advancements in technology, AI-driven tools like PubCompare.ai can optimize Endometrial Carcinoma research by enhancing reproducibility and accuracy.
This innovative platform helps users locate protocols from literature, pre-prints, and patents, while providing AI-powered comparisons to identify the best protocols and products, ultimately improving the overall research process and patient care.