The goal of this observational study is to find the diagnostic biomarkers in serum and urine from early breast cancer patients. The main questions it aims to answer are:

• compare the different biomarkers in serum and urine from breast cancer patients, benign lesions and healthy population.
• construct the best diagnostic model by machine learning to distinguish breast cancer and non-breast cancer patients.

Participants, including breast and non-breast cancer patients will be asked to provides blood and urine during their diagnosis and treatment process without changing the original treatment. When necessary, specimens will be collected during the surgery，without affecting pathological diagnosis.

Inclusion Criteria:

1. Signing the consent of informedness;
2. Patients with breast mass who need surgery after examination;
3. Cardiac ultrasound indicates that the blood score of the heart is within the normal range;
4. ECOG≤0-2 points;
5. Oversure function is acceptable.

Exclusion Criteria:

1. Merge other malignant tumors such as gynecologic oncology;
2. After evaluation, the internal organs are not suitable.

early breast cancer(Tis,T1-3N0-1M0)