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Predictive Model of Axillary Nodal Status After Neoadjuvant Chemotherapy in Breast Cancer Patients

Retrospective, Observational, Multicentric Study Aimed at Developing a Model for Prediction of Axillary Lymph Node Status After Neoadjuvant Chemotherapy in Breast Cancer Patients

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05798806
Acronym
LNNEO
Enrollment
1950
Registered
2023-04-05
Start date
2020-02-04
Completion date
2027-01-31
Last updated
2026-07-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Cancer

Brief summary

The management of patients diagnosed with breast cancer (BC) with axillary nodal involvement is still a controversial topic. These patients' treatment usually involves the administration of a neoadjuvant chemotherapy (NAC) in order to improve survival rates and increase local disease control. Depending on the tumor subtype, an axillary pathologic complete response (pCR) is achieved in 40-70% of initially axillary node-positive patients (cN+). Concerning patients with an axillary pCR, thus a clinically negative node status (cN0), axillary lymphadenectomy (ALND) might be replaced by less invasive surgical approaches and sentinel lymph node biopsy (SLNB) is considered, in these cases, an effective alternative treatment. However, the relatively high false negative rates, reported in several validation trials, points out the complexity concerning these patients' treatment. Moreover, histological findings' predictive and prognostic value, after SLNB, of micrometastases and isolated tumor cells (ITCs) is still unclear. Currently, dual-tracer-guided lymph node biopsy and the surgical removal of ≥ 3 sentinel lymph nodes are known as effective strategies aimed to reduce the false negative rates. There are several ongoing clinical trials to understand and define the best approach for these patients. Nowadays, there's great interest in potential prognostic role of systemic inflammation's biochemical markers such as neutrophil-to-lymphocyte ratio (NLR). Systemic inflammation's markers may be nodal pCR's predictors after NAC in node-positive breast cancer patients. The aim of the study is to develop and validate a pre-operative model, able to predict pCR after NAC to select the patients suitable for a surgery de-escalation strategy.

Detailed description

This is a retrospective, observational, multicentric and no profit study. The study involves patients with diagnosis of cN+ breast cancer who underwent neoadjuvant treatment and then treated with lymph node biopsy or axillary lymphadenectomy, referring to the participating centers. For each patient the following clinical-anamnestic information will be collected: age, pre-NAC blood cell count, tumor dimension, clinical staging (cT, cN), histological information (tumor subtype, grading, receptors' status, Ki-67 value), neoadjuvant treatment regimen, clinical and radiological local response after NAC, clinical and radiological nodal response after NAC, type of surgery, number of examined lymph nodes, number of positive lymph nodes, pathological staging after surgery (ypT, ypN).

Interventions

None listed

Sponsors

Istituti Clinici Scientifici Maugeri SpA
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 90 Years
Healthy volunteers
No

Inclusion criteria

* Diagnosis of breast cancer confirmed by histological examination * Patients who underwent neoadjuvant chemotherapy * Axillary lymph nodes involvement at diagnosis (cN≥1), identified by clinical examination and/or imaging techniques and/or axillary lymph node cytology aspirate positive for breast cancer cells.

Exclusion criteria

* Patients with M+ at diagnosis * Contraindications for neoadjuvant chemotherapy

Design outcomes

Primary

MeasureTime frameDescription
Selection of features48 monthsIdentification of pre-operative clinical-pathological features predictive for ypN0 status after NAC in patients with cN+ breast cancer (Logistic regression model will be performed)
Nomogram48 monthsDevelopment and validation of a nomogram, based on selected clinical-pathological features, able to predict nodal status after neoadjuvant chemotherapy

Countries

Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 7, 2026