FULL DETAILS (Read-only)  -> Click Here to Create PDF for Current Dataset of Trial
CTRI Number  CTRI/2026/02/104648 [Registered on: 24/02/2026] Trial Registered Prospectively
Last Modified On: 19/02/2026
Post Graduate Thesis  Yes 
Type of Trial  Observational 
Type of Study   Cohort Study 
Study Design  Single Arm Study 
Public Title of Study   Treating Endometrial Cancer with Precision: A New Era of Personalized Medicine 
Scientific Title of Study   Molecular profiling of Endometrial Cancer and its impact on designing personalized therapy 
Trial Acronym   
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Nutan Sahu 
Designation  Senior Resident , Gynaecologic Oncology 
Affiliation  AIIMS 
Address  Room no. 726, MCH, 7th floor, AIIMS

New Delhi
DELHI
110029
India 
Phone  07982123119  
Fax    
Email  nnutan709@gmail.com  
 
Details of Contact Person
Scientific Query
 
Name  Dr Seema Singhal 
Designation  Professor, Department of Obstetrics and Gyanecology 
Affiliation  AIIMS, New Delhi 
Address  Room no. 726, MCH, 7th floor, AIIMS, New Delhi- 110029, INDIA

New Delhi
DELHI
110029
India 
Phone  9818291001  
Fax    
Email  drseemasinghal@gmail.com  
 
Details of Contact Person
Public Query
 
Name  Nutan Sahu 
Designation  Senior Resident , Gynaecologic Oncology 
Affiliation  AIIMS 
Address  Room no. 726, MCH, 7th floor, AIIMS


DELHI
110029
India 
Phone  07982123119  
Fax    
Email  nnutan709@gmail.com  
 
Source of Monetary or Material Support  
Gynae office, MCH Block, 7th floor, AIIMS, New Delhi Pincode-110029 India 
 
Primary Sponsor  
Name  none 
Address  NA 
Type of Sponsor  Other [NOT SPONSORED] 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Dr Seema Singhal  AIIMS, New Delhi, INDIA  Room no 726, MCH BLOCK, Gynaecologic Oncology division of Department of obstetrics and Gynaecology, AIIMS, New Delhi- 110029, INDIA
New Delhi
DELHI 
9818291001

drseemasinghal@gmail.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
AIIMS Ethics Committee  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: C548||Malignant neoplasm of overlappingsites of corpus uteri,  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  Nil  Nil 
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  80.00 Year(s)
Gender  Female 
Details  1.Women with histological diagnosis of ca
endometrium
2. All histologies including endometrioid
or high-risk histology (serous, clear cell,
carcinosarcoma and mixed histologies)
3. Planned surgical staging with SLN
mapping. 
 
ExclusionCriteria 
Details  1.Prior chemotherapy or pelvic
radiotherapy.
2. Presence of synchronous malignancies
and Recurrent cases
3. Known hypersensitivity to dye
4. Uterine sarcoma 
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
1. No of cases with POLE, MMRd, p53 and NSMP profile
2. Number of patients with macro metastasis, micro metastasis and iTC in mapped sentinel
nodes
3. Correlation of SLN metastasis among different molecular subtypes.
4. No of patients needing each modality of adjuvant therapy using conventional HPE
5. No of patients needing each modality of adjuvant therapy using molecular profiling
 
4 weeks 
 
Secondary Outcome  
Outcome  TimePoints 
nil  nil 
 
Target Sample Size   Total Sample Size="50"
Sample Size from India="50" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   10/03/2026 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  10/03/2026 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="2"
Months="0"
Days="0" 
Recruitment Status of Trial (Global)   Not Yet Recruiting 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary   Endometrial cancer is one of the most prevalent gynecological malignancies, with a significant increase in both incidence and mortality over the past decade. The estimated number of new cases of endometrial cancer in India in 2022 was 17,420 with an estimated deaths of about 6845 and ranks 3rd in number among female genital tract malignancies. This upward trajectory is largely attributed to increased life expectancy and the rising prevalence of risk factors such as obesity, which has become a major contributor to the growing incidence of the disease. The adoption of sentinel lymph node (SLN) mapping has emerged as a promising technique to overcome the issues associated with traditional lymphadenectomy, providing reliable data on nodal involvement. Furthermore, the use of ultra-staging in SLN mapping allows for the detection of low-volume disease, including isolated tumor cells and micro-metastases, which are often missed by conventional histopathological methods. This advancement has significantly improved the accuracy of staging and treatment planning. One of the most impactful innovations in endometrial cancer management has been the integration of molecular and genomic profiling. The landmark data from The Cancer Genome Atlas (TCGA) published in 2013, followed by updates from the European Society for Medical Oncology (ESMO), European Society of Gynaecological Oncology (ESGO), and the International Federation of Gynecology and Obstetrics (FIGO), have led to a better understanding of the molecular heterogeneity of this disease. Our hypothesis is that there will be differences in sentinel lymph node involvement rates and adjuvant therapy pathways if molecular classification is integrated in conventional management for patients with endometrial cancer. This might provide evidence to escalate or de-escalate therapeutic decisions and personalized management. However, there is currently no prospective evidence supporting the use of molecular classification to guide surgical or adjuvant treatment decisions. This prospective study aims to evaluate the predictive value of molecular features over the conventional histopathological prognostic factors for planning adjuvant therapy and for identifying the risk of sentinel nodal metastases in endometrial cancer.  
Close