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Chinese Journal of Endourology(Electronic Edition) ›› 2025, Vol. 19 ›› Issue (06): 727-735. doi: 10.3877/cma.j.issn.1674-3253.2025.06.007

• Clinical Research • Previous Articles    

Risk factors and time distribution of pelvic lymph node metastasis after neoadjuvant chemotherapy in different subtypes of prostate cancer

Chao Tian1, Ruoxi Huang1,(), Maolin Jiang1, Chongwei Xie2, Pengfei Diao1, Suquan Zhong1, Dong Chen1, Hangtao Wang1, Guiliu Chen1, Yujian Chen1, Guoliang Li1   

  1. 1Department of Urology, Yuebei People's Hospital, Shaoguan 512000, China
    2Medical research center, Yuebei People's Hospital, Shaoguan 512000, China
  • Received:2025-03-10 Online:2025-12-01 Published:2025-11-24
  • Contact: Ruoxi Huang

Abstract:

Objective

To explore the risk factors and time distribution of pelvic lymph node metastasis after neoadjuvant chemotherapy in different subtypes of prostate cancer.

Methods

162 prostate cancer patients who received neoadjuvant chemotherapy in our hospital from January 2017 to January 2020 were selected as the research subjects. According to the cancer gene atlas (TCGA) classifier, they were divided into four molecular subtypes: ERG, ETV1, ETV4, and FLI1, to explore the relationship between molecular typing and clinical characteristics, and analyze the time distribution pattern of pelvic lymph node metastasis after neoadjuvant chemotherapy for prostate cancer with different molecular subtypes. According to whether pelvic lymph node metastasis occurred during the follow-up period, patients were divided into a metastatic group (n=65) and a non metastatic group (n=97). The influencing factors of pelvic lymph node metastasis in patients were analyzed through univariate and multivariate logistic analysis, and a nomogram prediction model was constructed and validated.

Results

The differences in Gleason score, PSA, T stage, N stage, tumor grade, and pelvic lymph node metastasis among patients with different subtypes were statistically significant (P<0.05). Gleason score, PSA, tumor grade, and FLI1 type are independent risk factors for pelvic lymph node metastasis in prostate cancer patients after neoadjuvant chemotherapy (P<0.05). Using independent influencing factors to construct a nomogram prediction model, the model has good discrimination and accuracy. The risk time of total pelvic lymph node metastasis of prostate cancer after neoadjuvant chemotherapy showed a bimodal distribution, and the peak of metastasis was in the 12th month and 30th month after neoadjuvant chemotherapy respectively.

Conclusion

Molecular typing is a influencing factor for pelvic lymph node metastasis in prostate cancer after neoadjuvant chemotherapy, and there is a certain regularity in the time of pelvic lymph node metastasis in different molecular subtypes of prostate cancer after neoadjuvant chemotherapy.

Key words: Prostate cancer, Molecular subtypes, Neoadjuvant therapy, Lymph node metastasis, Prognostic model, Precision medicine

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