| Literature DB >> 32654030 |
Viviana Frantellizzi1, Fabio Monari2, Manlio Mascia3, Renato Costa4, Giuseppe Rubini5, Angela Spanu6, Arianna Di Rocco7, Elisa Lodi Rizzini8, Luca Cindolo9, Maria Licari4, Valentina Lavelli5, Susanna Nuvoli6, Cristina De Angelis10, Valeria Dionisi2, Cristina Ferrari5, Giuseppe De Vincentis10.
Abstract
OBJECTIVE: Radium-223 (223Ra) has been approved for treatment in patients with metastatic castration-resistant prostatic cancer (mCRPC) and bone metastasis. This α-emitting radionuclide has a beneficial effect on pain and is also capable to increase overall survival (OS). Several studies evaluated the prognostic value of different biomarkers at baseline, such as serum values, imaging parameters or pain. To date, however, clinicians lack a validated and simple system to assess which patients will most likely benefit from 223Ra treatment. The 3-variable prognostic score (3-PS), proposed in a single-center study in 2017 classifies patients in five prognostic groups with a specific OS. This study aims to validate the 3-PS in a larger multicenter population.Entities:
Keywords: 223Radium-dichloride; Overall survival; Prognostic score; mCRPC
Mesh:
Substances:
Year: 2020 PMID: 32654030 PMCID: PMC7515961 DOI: 10.1007/s12149-020-01501-7
Source DB: PubMed Journal: Ann Nucl Med ISSN: 0914-7187 Impact factor: 2.668
The 3-variable predictive score scoring system
| 3-Variable predictive score | |
|---|---|
| Baseline ECOG PS | |
0 1 ≥ 2 | 0 1 2 |
| Baseline PSA | |
< 20 ng/ml ≥ 20 ng/ml | 0 1 |
| Baseline Hb | |
≥ 12 g/dl < 12 g/dl | 0 1 |
Baseline patients’ characteristics
| Baseline variable | Total group ( | % | Clean group ( | % |
|---|---|---|---|---|
| Age(years) | ||||
| Mean (range) | 74.1 (50–92) | 74.3 (51–92) | ||
| Height (m) | ||||
| Mean (range) | 1.71 (1.56–1.95) | 1.71 (1.56–1.89) | ||
| Weight (kg) | ||||
| Mean (range) | 78.3 (48–140) | 78.5 (48–140) | ||
| BMI | ||||
| Mean (range) | 26.8 (14.9–46.2) | 26.9 (14.9–46.2) | ||
| Gleason score | ||||
| Mean (range) | 8 (5–10) | 8 (5–10) | ||
| 5 | 3 | 0.7 | 3 | 0.9 |
| 6 | 22 | 5.1 | 20 | 5.9 |
| 7 | 108 | 25.1 | 86 | 25.4 |
| 8 | 99 | 23.0 | 77 | 22.8 |
| 9 | 110 | 25.6 | 87 | 25.7 |
| 10 | 9 | 2.1 | 9 | 2.7 |
| Unknown | 79 | 18.4 | 56 | 16.6 |
| ECOG performance status | ||||
| Mean (range) | 0.8 (0–3) | 0.8 (0–3) | ||
| 0 | 181 | 42.1 | 148 | 43.8 |
| 1 | 152 | 35.3 | 117 | 34.6 |
| ≥ 2 | 97 | 22.6 | 73 | 21.6 |
| No. of previous systemic treatment | ||||
| 0 | 65 | 15.1 | 45 | 13.3 |
| 1 | 117 | 27.2 | 87 | 25.7 |
| 2 | 74 | 17.2 | 50 | 14.8 |
| ≥ 3 | 78 | 18.1 | 60 | 17.8 |
| Skeletal burden | ||||
| ≤ 6 mets | 98 | 22.8 | 88 | 26.0 |
| 6–20 mets | 266 | 61.9 | 193 | 57.1 |
| ≥ 20 mets | 66 | 15.3 | 57 | 16.9 |
| Baseline Hb | ||||
| Median (range) | 12.3 (9.6–15.9) | 12.4 (9.6–15.9) | ||
| < 12 g/dl | 177 | 41.2 | 131 | 38.8 |
| ≥ 12 g/dl | 253 | 58.8 | 207 | 61.2 |
| Baseline tALP | ||||
| Median (range) | 145 (11.6–1798.0) | 130 (11.6–1798.0) | ||
| < 226 U/l | 295 | 68.6 | 247 | 73.1 |
| ≥ 226 U/l | 135 | 31.4 | 91 | 26.9 |
| Baseline PSA | ||||
| < 20 ng/ml | 140 | 32.6 | 115 | 34.0 |
| ≥ 20 ng/ml | 290 | 67.4 | 223 | 66.0 |
Univariate and multivariable analysis of OS in relation to baseline variables in the TOTAL and clean group
| Clinical covariates | Total group univariate models HR (95% CI) | Total group multivariable model HR (95% CI) | Clean group univariate models HR (95% CI) | Clean group multivariable models HR (95%) | ||||
|---|---|---|---|---|---|---|---|---|
| Age | 1.007 (0.992–1.023) | 0.371 | 1.008 (0.990–1.027) | 0.369 | ||||
| BMI | 0.948 (0.918–0.979) | 0.001 | 0.952 (0.917–0.990) | 0.012 | ||||
| Gleason score | 0.928 (0.818–1.053) | 0.246 | 0.945 (0.818–1.092) | 0.445 | ||||
| ECOG performance status | 1.534 (1.325–1.775) | < 0.001 | 1.486 (1.282–1.723) | < 0.001 | 1.398 (1.166–1.676) | < 0.001 | 1.345 (1.121–1.615) | 0.001 |
| No. of previous systemic treatments | 1.227 (1.098–1.371) | < 0.001 | 1.212 (1.058–1.389) | 0.005 | ||||
| Baseline Hb | 0.722 (0.663–0.787) | < 0.001 | 0.729 (0.669–0.795) | < 0.001 | 0.709 (0.636–0.787) | < 0.001 | 0.717 (0.643–0.799) | < 0.001 |
| Baseline PSA | 1.001 (1.001–1.001) | < 0.001 | 1.001 (1.001–1.001) | < 0.001 | ||||
| Baseline tALP | 1.001 (1.001–1.002) | < 0.001 | 1.002 (1.001–1.002) | < 0.001 |
OS subgroup analysis with 3-PS cohort stratification: total group
| Score | Number at risk | Events | OS months, median | LCL 95% | UCL 95% |
|---|---|---|---|---|---|
| Low risk (score 0) | 55 | 19 | 33 | 28.0 | NA |
| Moderate risk (score 1–2) | 242 | 149 | 16 | 13.2 | 20.0 |
| High risk (score 3–4) | 133 | 105 | 8 | 7.0 | 10.0 |
OS subgroup analysis with 3-PS cohort stratification: clean group
| Score | Number at risk | Events | OS months, | LCL 95% | UCL 95% |
|---|---|---|---|---|---|
| Low risk (score 0) | 42 | 12 | 33 | 32.0 | NA |
| Moderate risk (score 1–2) | 203 | 112 | 16 | 16.0 | 23.0 |
| High risk (score 3–4) | 93 | 65 | 8 | 7.0 | 13.0 |
Fig. 1The Kaplan–Meier estimate show OS in the total group
Fig. 2Kaplan–Meier estimate showing the total group layered in five prognostic groups based on OS
Fig. 3Kaplan–Meier estimate showing the clean group layered in five prognostic groups based on OS