Nucleophosmin1 associated with drug resistance and recurrence of bladder cancer

Huihui Hu1, Qian Meng, Ting Lei

  • 1Department of Clinical Laboratory, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China, huhuihui1101@163.com.

Insights

Nucleophosmin1 expression is linked to drug resistance and recurrence in bladder cancer. Lower nucleophosmin1 levels in tissues correlate with later recurrence, suggesting its role in treatment strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biochemistry

Background:

  • Drug resistance and cancer recurrence are significant challenges in bladder cancer chemotherapy.
  • Previous research identified nucleophosmin1 as differentially expressed in bladder cancer cell lines.

Purpose of the Study:

  • To investigate the relationship between nucleophosmin1 expression, drug resistance, and recurrence in bladder cancer.
  • To evaluate nucleophosmin1 as a potential biomarker for clinical drug treatment and recurrence prediction.

Main Methods:

  • Utilized normal bladder epithelia (SV-HUC-1) and bladder cancer cell lines (PUMC-91) with varying adriamycin resistance.
  • Analyzed bladder cancer tissue samples stratified by recurrence interval (<6 months vs. >2 years).
  • Employed Western blotting and immunohistochemistry to detect nucleophosmin1 protein expression.

Main Results:

  • Nucleophosmin1 showed differential expression across cell lines with increasing adriamycin resistance (p < 0.05).
  • Significantly lower nucleophosmin1 expression was observed in bladder cancer tissues with later recurrence (>2 years) compared to early recurrence (<6 months) (p = 0.035).
  • Nucleophosmin1 expression was independently associated with both drug resistance and recurrence frequency.

Conclusions:

  • Nucleophosmin1 plays a key regulatory role in both drug-resistant bladder cancer and bladder cancer recurrence models.
  • Nucleophosmin1 expression levels may offer valuable prognostic information for bladder cancer patients, particularly concerning drug treatment efficacy and predicting recurrence.

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