Association of Tumour Grade and Sex Steroid Receptor as a Prognostic Index in Breast Cancer
1 other identifier
observational
382
1 country
2
Brief Summary
Null hypothesis: Histological grade of tumour bears no relation with the status of sex hormone receptors. Alternate hypothesis: Both the histological grade of tumour and expression of sex steroid receptors are directly related to each other The investigators aim to;
- 1.see the relationship of sex steroid receptors with the histological grade of breast cancer.
- 2.evaluate the efficacy of steroid receptors as a prognostic factor
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2020
Shorter than P25 for all trials
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 1, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2021
CompletedFirst Submitted
Initial submission to the registry
January 11, 2021
CompletedFirst Posted
Study publicly available on registry
January 13, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
January 15, 2021
CompletedJanuary 14, 2021
January 1, 2021
6 months
January 11, 2021
January 13, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Histopathology of tumour
The incidence of grade and type of breast cancer at the time of study will be recorded and analysed
6 months
Steroid receptor status
The concentrations of estrogen and progesterone receptor will be calculated and analysed.
6 months
Secondary Outcomes (3)
Age
6 months
State of menstruation
6 months
Stage of tumour
6 months
Study Arms (1)
Breast Cancer Patients
All the patients irrespective of age, ethnicity and stage of disease will be including once the disease is confirmed after triple assessment
Interventions
Eligibility Criteria
All the patients irrespective of age, gender and stage of disease will be including once the disease is confirmed after triple assessment. We shall cover the population in the southern part of Pakistan.
You may qualify if:
- All patients diagnosed with breast cancer irrespective of age, gender and clinical stage
You may not qualify if:
- Any patient who lost to follow up
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Fazila Hashmi
Jāmshoro, Sindh, Pakistan
Liaquat University of Medical and Health Sciences
Jāmshoro, 76090, Pakistan
Related Publications (5)
Gadducci A, Biglia N, Sismondi P, Genazzani AR. Breast cancer and sex steroids: critical review of epidemiological, experimental and clinical investigations on etiopathogenesis, chemoprevention and endocrine treatment of breast cancer. Gynecol Endocrinol. 2005 Jun;20(6):343-60. doi: 10.1080/09513590500128492.
PMID: 16019385BACKGROUNDFolkerd E, Dowsett M. Sex hormones and breast cancer risk and prognosis. Breast. 2013 Aug;22 Suppl 2:S38-43. doi: 10.1016/j.breast.2013.07.007.
PMID: 24074790BACKGROUNDGambardella A, Esposito D, Accardo G, Taddeo M, Letizia A, Tagliafierro R, Esposito K, Pasquali D. Sexual function and sex hormones in breast cancer patients. Endocrine. 2018 Jun;60(3):510-515. doi: 10.1007/s12020-017-1470-7. Epub 2017 Nov 14.
PMID: 29138989BACKGROUNDStute P, Wildt L, Neulen J. The impact of micronized progesterone on breast cancer risk: a systematic review. Climacteric. 2018 Apr;21(2):111-122. doi: 10.1080/13697137.2017.1421925. Epub 2018 Jan 31.
PMID: 29384406BACKGROUNDClendenen TV, Ge W, Koenig KL, Afanasyeva Y, Agnoli C, Brinton LA, Darvishian F, Dorgan JF, Eliassen AH, Falk RT, Hallmans G, Hankinson SE, Hoffman-Bolton J, Key TJ, Krogh V, Nichols HB, Sandler DP, Schoemaker MJ, Sluss PM, Sund M, Swerdlow AJ, Visvanathan K, Zeleniuch-Jacquotte A, Liu M. Breast cancer risk prediction in women aged 35-50 years: impact of including sex hormone concentrations in the Gail model. Breast Cancer Res. 2019 Mar 19;21(1):42. doi: 10.1186/s13058-019-1126-z.
PMID: 30890167BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Fazila Hashmi
Liaquat University of Medical and Health Sciences Jamshoro Pakistan
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
January 11, 2021
First Posted
January 13, 2021
Study Start
July 1, 2020
Primary Completion
January 1, 2021
Study Completion
January 15, 2021
Last Updated
January 14, 2021
Record last verified: 2021-01