Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT06448169 |
Other study ID # |
STNBC001 |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
May 30, 2024 |
Est. completion date |
April 30, 2026 |
Study information
Verified date |
May 2024 |
Source |
Shandong University |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Studies have reported that tumors with the same immunogenic mutations may induce T cell
receptor (TCR) domains with similar antigen recognition functions. By assembling the
complementarity-determining region 3 (CDR3) of TCRs from RNA-seq data and correlating them
with 9142 samples from TCGA data, an in-depth analysis of the TCR pool in the tumor
microenvironment found a strong correlation between the CDR3 sequences of tumor-infiltrating
T cells and tumor mutation burden. Fairfax et al. found that in patients responding to tumor
immunotherapy, the TCR immune pool of CD8+ T cells produces many clones with extremely high
abundance (exceeding 0.5%) . Cader et al. also found significant changes in the TCR immune
pool of patients with Hodgkin's lymphoma responding to PD-1 tumor immunotherapy. Based on
these theoretical foundations, evaluating the dynamic changes of the TCR immune pool is
expected to be used to analyze the immune characteristics and changes in diseases such as
malignant tumors.
Description:
I. Background, Approximately 12-17% of breast cancer patients suffer from triple-negative
breast cancer (TNBC) , which is prone to visceral and central nervous system metastases,
poses significant therapeutic challenges, and has poor prognosis. Clinically starting with
early TNBC, strengthening precise and individualized treatment, and reducing the risk of
recurrence and metastasis are effective methods to improve the survival rate of TNBC
patients.
The optimization of neoadjuvant therapy regimens has always been a research hotspot.
Traditional neoadjuvant therapy regimens are primarily based on chemotherapy. The KEYNOTE-522
study showed that traditional chemotherapy combined with PD-1 inhibitors could significantly
increase the pCR (pathological complete remission) rate, improving by 13.6% (64.8% vs 51.2%,
P=0.00055) and reducing the risk of recurrence. However, this treatment also brings
inevitable immune-related adverse events (AEs), with an overall AE incidence rate of 43.6%, a
3-5 grade AE incidence rate of 14.9%, and a fatal AE rate of 0.3%. Many immune-related AEs
are lifelong, such as hypothyroidism. Therefore, how to precisely select immunologically
sensitive patients for immunotherapy, while administering chemotherapy only to those who are
immunologically insensitive, to avoid unnecessary immune-related AEs? How to predict patients
who may experience severe immune-related adverse reactions early? These are urgent clinical
issues that need to be addressed. Meanwhile, the mechanism of immunotherapy resistance
remains unclear.
Studies have reported that tumors with the same immunogenic mutations may induce T cell
receptor (TCR) domains with similar antigen recognition functions. By assembling the
complementarity-determining region 3 (CDR3) of TCRs from RNA-seq data and correlating them
with 9142 samples from TCGA data, an in-depth analysis of the TCR pool in the tumor
microenvironment found a strong correlation between the CDR3 sequences of tumor-infiltrating
T cells and tumor mutation burden. Fairfax et al. found that in patients responding to tumor
immunotherapy, the TCR immune pool of CD8+ T cells produces many clones with extremely high
abundance (exceeding 0.5%). Cader et al. also found significant changes in the TCR immune
pool of patients with Hodgkin's lymphoma responding to PD-1 tumor immunotherapy. Based on
these theoretical foundations, evaluating the dynamic changes of the TCR immune pool is
expected to be used to analyze the immune characteristics and changes in diseases such as
malignant tumors.
Research Aim and Significance This study aims to utilize deep sequencing technology to
capture the molecular characteristics of the TCR immunome pool in the peripheral blood of
patients with triple-negative breast cancer at different time points before and after
neoadjuvant therapy. By combining artificial intelligence analysis algorithms, the
investigators aim to accurately screen the patient population that will benefit from
neoadjuvant immunotherapy for triple-negative breast cancer, avoid the occurrence of severe
immune-related AEs, and explore the mechanisms of resistance to immunotherapy, ultimately
achieving individualized and precise immunotherapy.
Research Content Analyze the changing characteristics of the TCR dynamic molecular group
before neoadjuvant therapy in patients with triple-negative breast cancer, and compare the
benefited and non-benefited patients receiving neoadjuvant therapy to screen for the
population that will benefit from neoadjuvant immunotherapy for triple-negative breast
cancer.
Analyze the changing characteristics of the TCR dynamic molecular population during
neoadjuvant therapy in patients with triple-negative breast cancer, and compare patients who
experience severe immune-related adverse events with those who do not, in order to prevent
and detect severe immune-related adverse events early.
Analyze the changing characteristics of the TCR dynamic molecular population in patients with
neoadjuvant therapy resistance for triple-negative breast cancer, examine the immune
characteristics of resistant patients, and explore the mechanisms of resistance to
immunotherapy.
Research Design
1. Randomized Control Method: This is a non-randomized controlled, single-arm, open-label
design.
2. Sample Size: This study plans to enroll 200 participants.
3. Study Population: Early-stage triple-negative breast cancer patients receiving
neoadjuvant therapy with PD-1 inhibitors combined with chemotherapy.
4. Treatment Factors (Placebo, Drugs, or Other Interventions): Neoadjuvant therapy drugs
include PD-1 inhibitors (200mg, intravenous infusion, administered on day 1 of each
cycle, with 21 days as a cycle), albumin-bound paclitaxel (260 mg/m2, intravenous
infusion, administered on day 1 of each cycle, with 21 days as a cycle), and carboplatin
(AUC 4, administered on day 1 of each cycle, with 21 days as a cycle).
5. Primary/Secondary Observation Indicators: Pathological complete response rate, clinical
response rate, immune-related adverse events, and drug resistance.
6. Safety and Effectiveness Evaluation Indicators: Perform imaging examinations every 2
cycles during the treatment period to evaluate efficacy, based on the RECIST 1.1
standard. After completing 6 cycles of neoadjuvant therapy, surgery will be performed,
and pathological evaluation of the therapeutic effect will be conducted.
Inclusion/Exclusion Criteria and Withdrawal/Termination Criteria of the Subjects
1. Recognized Diagnostic Criteria for the Target Disease: Pathological examination by core
needle biopsy.
2. Inclusion Criteria:
1) Age: 18-60 years old; 2) Histologically confirmed triple-negative breast cancer, with
immunohistochemistry showing ER <1%, PR <1%, HER2-negative (IHC 0 or 1+; or IHC 2+
ISH-negative); 3) Imaging-confirmed non-metastatic disease; 4) Clinical efficacy can be
evaluated according to RECIST criteria; 5) European Functional Handicap Scale (MRC) of 0-2;
6) The investigator determines that the treatment is tolerable based on the patient's organ
function level; 7) Volunteers willing to participate in this study, sign the informed
consent, have good compliance, and are willing to cooperate with follow-up.
3. Exclusion Criteria:
1. Immunohistochemistry showing HER2-positive (IHC 3 or IHC 2 ISH-amplified);
2. Previously treated;
3. Severe dysfunction of important organs such as heart, liver, and kidneys;
4. Patients with diseases unsuitable for immunotherapy;
5. Known allergy history to any component of the drugs in this regimen;
6. History of immune deficiency, including HIV-positive, HCV, active hepatitis B, or other
acquired or congenital immune deficiency diseases, or a history of organ
transplantation;
7. Any cardiac disease, including: ① Medically treated or clinically significant
arrhythmias; ② Myocardial infarction; ③ Heart failure; ④ Any other cardiac disease
judged by the investigator as unsuitable for participation in this trial;
8. Pregnant or lactating women, fertile women with positive baseline pregnancy test or
those unwilling to take effective contraceptive measures during the entire trial;
9. According to the investigator's judgment, there are accompanying diseases that seriously
endanger the safety of the patient or affect the completion of the study (including but
not limited to severe hypertension uncontrollable by drugs, severe diabetes, active
infections, etc.);
10. Long-term use of drugs that affect the components of peripheral blood immune cells, such
as recombinant human erythropoietin, recombinant human granulocyte colony-stimulating
factor, recombinant human interleukin, or Likejun tablets;
11. Received immunosuppressive therapy within 2 weeks;
12. Hematological precancerous diseases, such as myelodysplastic syndrome, and coagulation
disorders.
4. Have high-risk populations been excluded? Yes; 5. Have interfering factors been excluded?
Yes; 6. Withdrawal/Termination Criteria:
1. The subject withdraws the informed consent and requests withdrawal;
2. Medical imaging or clinical progression;
3. Any clinical adverse event, abnormal laboratory test, or other medical condition occurs,
leading to the possibility that continued medication may no longer benefit the subject;
4. Serious violation of the trial protocol, and the investigator assesses that treatment
should be terminated;
5. Pregnancy occurs during the study;
6. Other reasons why the investigator believes that drug treatment cannot be continued.