Accession	SAMC4076027
Accession in Other Database	GSA-Human: HRS1339398
Sample name	SN029
Title	Sentinel lymph node 29
Sample type	Human sample
Organism	Homo sapiens
Description	Paraffin-embedded blocks of sentinel lymph node tissue from a patient with breast cancer
Attributes	*This sample record contains additional controlled-access information that is avaiable from GSA-Human by requesting study HRA008309 in the GSA-Human system.
Release date	2024-09-29
BioProject Accession	PRJCA029094
Submitter	Jian Zheng (haohua410@tongji.edu.cn)
Organization	Yangpu Hospital Affiliated with Tongji University (Shanghai Yangpu District Central Hospital)
Submission date	2024-08-18

Sample Data

Resource name	Description
GSA-Human (1)	-
HRA008309 (Controlled Access)	The aim of this project is to evaluate the role of chromosomal instability (CIN) in the preoperative prediction of sentinel lymph node (SLN) metastasis in breast cancer patients. By analyzing low-pass whole-genome sequencing (LP-WGS) data in depth, we plan to explore the correlation between CIN and SLN metastasis and develop a CIN-based predictive model to improve the accuracy of preoperative assessment of lymph node metastasis risk in breast cancer patients. This project not only helps to improve the level of personalized treatment for breast cancer patients but may also provide new research ideas and methods for predicting lymph node metastasis in other types of tumors. By reducing unnecessary invasive examinations, this project is expected to improve patients' quality of life and provide a scientific basis for the rational allocation of medical resources.

Resource name

Description

GSA-Human (1)

HRA008309 (Controlled Access)

The aim of this project is to evaluate the role of chromosomal instability (CIN) in the preoperative prediction of sentinel lymph node (SLN) metastasis in breast cancer patients. By analyzing low-pass whole-genome sequencing (LP-WGS) data in depth, we plan to explore the correlation between CIN and SLN metastasis and develop a CIN-based predictive model to improve the accuracy of preoperative assessment of lymph node metastasis risk in breast cancer patients. This project not only helps to improve the level of personalized treatment for breast cancer patients but may also provide new research ideas and methods for predicting lymph node metastasis in other types of tumors. By reducing unnecessary invasive examinations, this project is expected to improve patients' quality of life and provide a scientific basis for the rational allocation of medical resources.

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