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Predicting Response to Neoadjuvant Chemotherapy in Muscle-invasive Bladder Cancer

A

Assiut University

Status

Not yet enrolling

Conditions

Muscle-Invasive Bladder Carcinoma

Treatments

Combination Product: neoadjuvant chemotherapy

Study type

Observational

Funder types

Other

Identifiers

NCT06325423
response to NAC in MIBC

Details and patient eligibility

About

Bladder cancer (BC) is the 10th most commonly diagnosed cancer worldwide and the second most common cancer among Egyptian males.

The mainstay of treatment of muscle-invasive BC( MIBC) is neoadjuvant chemotherapy (NAC) followed by radical cystectomy (RC) or bladder preservation(BP) using maximal transurethral resection of the bladder tumor followed by chemoradiation. The rationale to use NAC before RC or BP is to eradicate micro-metastasis and to downstage the primary tumor.

The 5-year cancer-specific survival for responders to NAC is 90%, in contrast to 30-40% for those not obtaining an objective response. Drawbacks of NAC are disappointing delay of surgery in non-responders and the potential toxicity. So, predictors of response to NAC are necessary to identify patients who may achieve pathologic complete response and will benefit from BP, and the others who may not respond to NAC and spare them NAC toxicity and RC delay.

Tumor microenvironment (TME), including neutrophil extracellular traps (NETs), and CD8+ T lymphocytes is a promising predictor of response to NAC in MIBC.

NETs are reticulated DNA structures decorated with various protein substances (e.g., histones, myeloperoxidase, neutrophil elastase).NETs are involved in tumor growth, metastasis, and treatment resistance. Moreover, NETs can inhibit T cell responses, thereby promoting tumor growth.

On the other hand, immune cells that are present in the TME play a major role in slowing down tumor progression. CD8+T lymphocytes play a central role in immune-mediated control of cancer . Also, they have been found to be a prognostic tool for advanced BC.

Full description

Formalin fixed paraffin embedded tissue specimen of the baseline TUR of MIBC will be obtained from pathology laboratory, Pathology Department, Assiut University.

  • Histological diagnosis of H&E stained sections will be confirmed.
  • Immunohistochemical staining for Citrullinated histone H3 (H3Cit) antibody as a hallmark of NETs, and CD8 antibody to quantity density of NETs and CD8 expression, then calculate NETs/CD8 ratio.
  • Baseline clinicopathological features of MIBC patients who received neoadjuvant chemotherapy will be collected from patients' records.
  • Correlation between NETs expression, CD8 expression, NETs/CD8 ratio, and the baseline clinicopathological features with the response to neoadjuvant chemotherapy.
  • develop a risk score based on the significant predictors of response to identify patients who may achieve pathologic complete response and will benefit from BP, and the others who may not respond to NAC and spare them NAC toxicity and RC delay.

Enrollment

50 estimated patients

Sex

All

Ages

19+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Pathologically proven pure urothelial carcinoma, or morphologic variant of urothelial carcinoma.
  • Patients with ≥T2, N0-1, M0, according to American Joint Committee on Cancer (AJCC) TNM Staging System for Bladder Cancer 8th ed., 2017.
  • Patients who received platinum-based neoadjuvant chemotherapy before RC or BP.
  • Available paraffin-embedded TUR specimens for Immunohistochemistry (IHC).

Exclusion criteria

  • Non urothelial carcinoma.
  • Not muscle invasive < T2.
  • Metastatic bladder cancer.
  • No available paraffin-embedded TUR specimens for IHC.

Trial design

50 participants in 1 patient group

MIBC patients who received NAC
Description:
Patients with muscle-invasive bladder cancer who received neoadjuvant chemotherapy before radical cystectomy or bladder preservation
Treatment:
Combination Product: neoadjuvant chemotherapy

Trial contacts and locations

0

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Central trial contact

Hebatullah M Bakri, Lecturer; Gehad A Abdelrazik, ass.lecturer

Data sourced from clinicaltrials.gov

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