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D002277: Carcinoma

Developed by Shray Alag, The Harker School
Sections: Correlations, Clinical Trials, and HPO

Correlations computed by analyzing all clinical trials.

Navigate: Clinical Trials and HPO


Correlated Drug Terms (8)


Name (Synonyms) Correlation
drug782 Clinical Trial Matching Wiki 0.50
drug3953 nasopharyngeal Covid 19 RT-PCR Wiki 0.50
drug625 COVID-19 convalescent plasma treatment Wiki 0.50
Name (Synonyms) Correlation
drug688 CanSwab Wiki 0.50
drug623 COVID-19 convalescent plasma Wiki 0.22
drug686 Camostat Mesilate Wiki 0.16
drug2732 Questionnaire Administration Wiki 0.14
drug2490 Placebo Wiki 0.02

Correlated MeSH Terms (26)


Name (Synonyms) Correlation
D002292 Carcinoma, Renal Cell NIH 0.71
D002285 Carcinoma, Intraductal, Noninfiltrating NIH 0.50
D002278 Carcinoma in Situ NIH 0.50
Name (Synonyms) Correlation
D016889 Endometrial Neoplasms NIH 0.50
D013274 Stomach Neoplasms NIH 0.50
D012878 Skin Neoplasms NIH 0.50
D044584 Carcinoma, Ductal NIH 0.50
D018270 Carcinoma, Ductal, Breast NIH 0.50
D009423 Nervous System Neoplasms NIH 0.50
D007680 Kidney Neoplasms NIH 0.50
D016543 Central Nervous System Neoplasms NIH 0.50
D005909 Glioblastoma NIH 0.50
D008113 Liver Neoplasms NIH 0.50
D006528 Carcinoma, Hepatocellular NIH 0.50
D007822 Laryngeal Neoplasms NIH 0.50
D013736 Testicular Neoplasms NIH 0.50
D001943 Breast Neoplasms NIH 0.45
D004938 Esophageal Neoplasms NIH 0.35
D002583 Uterine Cervical Neoplasms NIH 0.35
D012004 Rectal Neoplasms NIH 0.35
D018281 Cholangiocarcinoma NIH 0.35
D018358 Neuroendocrine Tumors NIH 0.35
D010190 Pancreatic Neoplasms NIH 0.29
D006258 Head and Neck Neoplasms NIH 0.29
D003110 Colonic Neoplasms NIH 0.25
D008175 Lung Neoplasms NIH 0.20

Correlated HPO Terms (24)


Name (Synonyms) Correlation
HP:0030731 Carcinoma HPO 1.00
HP:0005584 Renal cell carcinoma HPO 0.71
HP:0002896 Neoplasm of the liver HPO 0.50
Name (Synonyms) Correlation
HP:0008069 Neoplasm of the skin HPO 0.50
HP:0012114 Endometrial carcinoma HPO 0.50
HP:0100006 Neoplasm of the central nervous system HPO 0.50
HP:0010788 Testicular neoplasm HPO 0.50
HP:0009726 Renal neoplasm HPO 0.50
HP:0012174 Glioblastoma multiforme HPO 0.50
HP:0100751 Esophageal neoplasm HPO 0.50
HP:0004375 Neoplasm of the nervous system HPO 0.50
HP:0001402 Hepatocellular carcinoma HPO 0.50
HP:0006753 Neoplasm of the stomach HPO 0.50
HP:0030075 Ductal carcinoma in situ HPO 0.50
HP:0100605 Neoplasm of the larynx HPO 0.50
HP:0003002 Breast carcinoma HPO 0.45
HP:0100634 Neuroendocrine neoplasm HPO 0.35
HP:0100743 Neoplasm of the rectum HPO 0.35
HP:0030153 Cholangiocarcinoma HPO 0.35
HP:0030079 Cervix cancer HPO 0.35
HP:0002894 Neoplasm of the pancreas HPO 0.29
HP:0012288 Neoplasm of head and neck HPO 0.29
HP:0003003 Colon cancer HPO 0.25
HP:0100526 Neoplasm of the lung HPO 0.20

Clinical Trials

Navigate: Correlations   HPO

There are 4 clinical trials


1 TRACERx Renal (TRAcking Renal Cell Carcinoma Evolution Through Therapy (Rx)) CAPTURE: COVID-19 Antiviral Response in a Pan-tumour Immune Study

TRACERx Renal: This is a translational study, which, aims to develop prognostic and predictive biomarkers for patients with renal cell carcinoma (RCC). CAPTURE Sub-study: Covid-19 antiviral response in a pan-tumour immune monitoring study

NCT03226886
Conditions
  1. Renal Cell Carcinoma
  2. Cancer
  3. Healthy Volunteers
MeSH:Carcinoma Carcinoma, Renal Cell
HPO:Carcinoma Clear cell renal cell carcinoma Papillary renal cell carcinoma Renal cell carcinoma

Primary Outcomes

Description: Outcomes will be quantified using descriptive statistics with the intention of providing hypothesis-generating data for use in future studies.

Measure: To validate ITH index and WGII as stage and grade independent prognostic markers of progression free survival in patients with ccRCC mutation in a gene of interest

Time: From trial activation until trial closure approximately 1st September 2023

Description: Outcomes will be quantified using descriptive statistics

Measure: CAPTURE Sub-study: Describe the population characteristics between SARS-CoV-2 positive and negative cancer patients

Time: From sub-study activation until trial closure approximately 2027
2 SYNERGY-AI: Artificial Intelligence Based Precision Oncology Clinical Trial Matching and Registry

International registry for cancer patients evaluating the feasibility and clinical utility of an Artificial Intelligence-based precision oncology clinical trial matching tool, powered by a virtual tumor boards (VTB) program, and its clinical impact on pts with advanced cancer to facilitate clinical trial enrollment (CTE), as well as the financial impact, and potential outcomes of the intervention.

NCT03452774
Conditions
  1. Cancer, Metastatic
  2. Cancer
  3. Cancer of Pancreas
  4. Cancer of Liver
  5. Cancer of Stomach
  6. Cancer Liver
  7. Cancer of Rectum
  8. Cancer of Kidney
  9. Cancer of Esophagus
  10. Cancer of Cervix
  11. Cancer of Colon
  12. Cancer of Larynx
  13. Cancer, Lung
  14. Cancer, Breast
  15. Cancer, Advanced
  16. Cancer Prostate
  17. Cancer of Neck
  18. Cancer of Skin
  19. Neuroendocrine Tumors
  20. Carcinoma
  21. Mismatch Repair Deficiency
  22. BRCA Gene Rearrangement
  23. Non Hodgkin Lymphoma
  24. Leukemia
  25. Non Small Cell Lung Cancer
  26. Cholangiocarcinoma
  27. Glioblastoma
  28. Central Nervous System Tumor
  29. Melanoma
  30. Urothelial Carcinoma
  31. Bladder Cancer
  32. Ovarian Cancer
  33. Endometrial Cancer
  34. Testicular Cancer
  35. Breast Cancer
  36. COVID
Interventions
  1. Other: Clinical Trial Matching
MeSH:Carcinoma Glioblastoma Endometrial Neoplasms Neuroendocrine Tumors Cholangiocarcinoma Nervous System Neoplasms Central Nervous System Neoplasms Testicular Neoplasms Pancreatic Neoplasms Breast Neoplasms Lung Neoplasms Stomach Neoplasms Esop Esophageal Neoplasms Colonic Neoplasms Liver Neoplasms Uterine Cervical Neoplasms Rectal Neoplasms Kidney Neoplasms Carcinoma, Renal Cell Head and Neck Neoplasms Skin Neoplasms Laryngeal Neoplasms
HPO:Breast carcinoma Carcinoma Cervical polyp Cervix cancer Cholangiocarcinoma Clear cell renal cell carcinoma Colon cancer Endometrial carcinoma Esophageal neoplasm Glioblastoma multiforme Neoplasm of head and neck Neoplasm of the breast Neoplasm of the central nervous system Neoplasm of the colon Neoplasm of the larynx Neoplasm of the liver Neoplasm of the lung Neoplasm of the nervous system Neoplasm of the pancreas Neoplasm of the rectum Neoplasm of the skin Neoplasm of the stomach Neuroendocrine neoplasm Papillary renal cell carcinoma Renal cell carcinoma Renal neoplasm Testicular neoplasm

Primary Outcomes

Description: CTE Accrual

Measure: Proportion of patients Eligible for CTE versus Actual CTE

Time: Through study completion, an average of 1 year

Secondary Outcomes

Description: OS

Measure: Impact of CTE on Overall Survival (OS), estimated by Kaplan-Meier and Cox multivariable survival analysis

Time: 4 years

Description: PFS

Measure: Impact of CTE on Progression-Free Survival (PFS), estimated by Kaplan-Meier and Cox multivariable survival analysis

Time: 4 years

Description: To identify barriers to accruals to clinical trials, as measured and reported by a questionnaire

Measure: Identification of Barriers to CTE

Time: Through study completion, an average of 1 year

Description: To Analyze Individual Standard of Care Chemotherapy Utilization (nominal), across treatment lines (numeric); data will be combined and aggregated to report chemotherapy utilization rate (%).

Measure: Real World Data Analytics

Time: Through study completion, an average of 1 year

Description: VTB Use Rate

Measure: Virtual Tumor Board Utilization

Time: Through study completion, an average of 1 year

Description: Time to CTE

Measure: Time from Intervention to Actual CTE (months)

Time: Through study completion, an average of 1 year
3 Potential Impact of the COVID -19 Pandemic on Financial Toxicity in Breast Cancer Surgical Patients: The Impact on Out of Pocket Costs, Lost Wages and Economic Strain

This study investigates the impact of COVID-19 pandemic on out-of-pocket costs, lost wages, and unemployment in patients with breast cancer undergoing breast surgery. Post-mastectomy reconstructive patients are at high risk for financial toxicity (adverse effects of escalating health care cost on well-being). The goal of this study is to collect information about financial costs patients may have as a result of surgical treatment for cancer with or without breast reconstruction and to learn if COVID-19 affects patient costs of breast reconstruction. This may help researchers demonstrate the financial consequences of undergoing breast surgery.

NCT04169542
Conditions
  1. Breast Ductal Carcinoma In Situ
  2. COVID-19 Infection
  3. Hereditary Breast Carcinoma
  4. Invasive Breast Carcinoma
Interventions
  1. Other: Questionnaire Administration
MeSH:Carcinoma Breast Neoplasms Carcinoma in Situ Carcinoma, Ductal Carcinoma, Intraductal, Noninfiltrating Carcinoma, Ductal, Breast
HPO:Breast carcinoma Carcinoma Ductal carcinoma in situ Neoplasm of the breast

Primary Outcomes

Description: Will be measured by the Comprehensive Score for financial Toxicity questionnaire. Summary statistics including mean, standard deviation, median, and range for continuous variables, and frequency count and percentage for categorical variables will be provided. Various subgroup analyses may occur. In these cases, continuous variables will be compared using the two-sample t-test and categorical variables will be compared using chi-squared test or Fisher's exact test. Multivariate regression analysis will be performed to account for confounding and to increase the robustness of any causal inference.

Measure: Prevalence of financial toxicity

Time: Up to 1 year after completion of study

Secondary Outcomes

Description: Summary statistics including mean, standard deviation, median, and range for continuous variables, and frequency count and percentage for categorical variables will be provided. Various subgroup analyses may occur. In these cases, continuous variables will be compared using the two sample t-test and categorical variables will be compared using chi-squared test or Fisher's exact test. Multivariate regression analysis will be performed to account for confounding and to increase the robustness of any causal inference.

Measure: Correlation between economic disruption from coronavirus disease 2019 (COVID-19) and financial toxicity

Time: Up to 1 year after completion of study

Description: Will be assessed using the Short Form-12 survey. Summary statistics including mean, standard deviation, median, and range for continuous variables, and frequency count and percentage for categorical variables will be provided. Various subgroup analyses may occur. In these cases, continuous variables will be compared using the two-sample t-test and categorical variables will be compared using chi-squared test or Fisher's exact test. Multivariate regression analysis will be performed to account for confounding and to increase the robustness of any causal inference.

Measure: Relationship between financial toxicity and patient reported quality of life

Time: Up to 1 year after completion of study

Description: Will be assessed using the Breast-Q survey. Summary statistics including mean, standard deviation, median, and range for continuous variables, and frequency count and percentage for categorical variables will be provided. Various subgroup analyses may occur. In these cases, continuous variables will be compared using the two-sample t-test and categorical variables will be compared using chi-squared test or Fisher's exact test. Multivariate regression analysis will be performed to account for confounding and to increase the robustness of any causal inference.

Measure: Relationship between financial toxicity and patient reported satisfaction with breast reconstruction

Time: Up to 1 year after completion of study
4 Impact of COVID-19 Infection in Patients With Hepatocellular Carcinoma: An Ambispective Study Nestled in the CHIEF Cohort

Since December 2019, a new disease named COVID-19 linked to a new coronavirus, SARS-CoV2 has emerged in China in the city of Wuhan, Hubei province, spreading very quickly to all 5 continents, and responsible for a pandemic. France is the third most affected country in Europe after Italy and Spain. Groups of patients at a higher risk of developing a severe form of COVID-19 have been defined: this include patients with immunosuppressive disease as cancer or patients with advanced cirrhosis of the liver. Coronavirus liver injury had been described with SARS-CoV 1 and MERS-CoV. There is no data on liver damage associated with COVID-19 infection for compensated or decompensated cirrhotic patients. The objectives of this project are to estimate the incidence of COVID-19 in hepatocellular carcinoma population, both hospital and ambulatory, and to study the impact on the frequency of severe forms, the prognosis, but also liver function, and the management of hepatocellular carcinoma, in this context of pandemic

NCT04367805
Conditions
  1. Hepatocellular Carcinoma
  2. COVID-19
Interventions
  1. Diagnostic Test: nasopharyngeal Covid 19 RT-PCR
MeSH:Carcinoma Carcinoma, Hepatocellular
HPO:Carcinoma Hepatocellular carcinoma

Primary Outcomes

Description: Incidence of COVID-19 infection in patients with hepatocellular carcinoma in France

Measure: Incidence of COVID-19 infection in patients with hepatocellular carcinoma in France

Time: 6 months

HPO Nodes


Reports

Data processed on January 01, 2021.

An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.

Drug Reports   MeSH Reports   HPO Reports  

Interventions

4,818 reports on interventions/drugs

MeSH

706 reports on MeSH terms

HPO

306 reports on HPO terms

All Terms

Alphabetical index of all Terms

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