# Construction and validation of a nomogram for identifying the patients at risk for rapid progression of advanced hormone-sensitive prostate cancer

**Authors:** Xiaolong Xu, Weiyu Fei, Mingshuang Wu, Yi He, Bo Yang, Cuicui Lv

PMC · DOI: 10.1186/s12885-025-14035-w · BMC Cancer · 2025-04-08

## TL;DR

This study creates a tool to predict which patients with advanced prostate cancer are likely to develop a more aggressive form of the disease, helping doctors tailor treatment plans.

## Contribution

The study introduces a novel nomogram combining LDH, TyG index, M stage, and Gleason sum to predict rapid progression in hormone-sensitive prostate cancer.

## Key findings

- The nomogram achieved C-indexes of 0.798 in training and 0.790 in validation sets.
- The model outperformed M stage and Gleason sum in predicting castration-resistant prostate cancer progression.
- The nomogram effectively stratified patients into high- and low-risk groups for rapid progression.

## Abstract

This study aimed to evaluate the prognostic significance of lactate dehydrogenase (LDH) and fasting triglyceride-glucose (TyG) index in advanced hormone-sensitive prostate cancer (HSPC) patients, with the ultimate goal of developing and validating a nomogram for predicting castration-resistant prostate cancer (CRPC) free survival.

The follow-up data of 207 CRPC patients who had androgen deprivation therapy as their initial and only treatment before progression were retrospectively reviewed. To assess prognostic variables, univariate and multivariate Cox regression analyses were performed. The concordance index (C-index), calibration curves, receiver operating characteristic (ROC) curves, and decision curve analyses (DCA) were utilized to construct and test a novel nomogram model.

TyG index, LDH, M stage and Gleason sum were determined to be independent prognostic markers and were combined to create a nomogram. This nomogram worked well in the tailored prediction of CRPC development at the sixth, twelve, eighteen, and twenty-fourth months. The C-indexes for the training and validation sets were 0.798 and 0.790, respectively. The ROC curves, calibration plots, and DCA all indicated good discrimination and prediction performance. Furthermore, the nomogram had a higher prognostic ability than the M stage and the Gleason sum. The nomogram-related risk score classified the patient population into two groups with significant progression differences.

The created nomogram could help identify patients at high risk for rapid progression of advanced HSPC, allowing for the formulation of tailored therapy regimens and follow-up methods in a timely manner.

## Linked entities

- **Diseases:** prostate cancer (MONDO:0005159)

## Full-text entities

- **Diseases:** CRPC (MESH:D064129), HSPC (MESH:D011471)
- **Chemicals:** glucose (MESH:D005947), triglyceride (MESH:D014280)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

4 references — full list in the complete paper: https://tomesphere.com/paper/PMC11980332/full.md

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Source: https://tomesphere.com/paper/PMC11980332