The prognostic role of the preoperative systemic immune-inflammation index and high-sensitivity modified Glasgow prognostic score in patients after radical operation for soft tissue sarcoma

Combination of handgrip strength and high-sensitivity modified Glasgow prognostic score predicts survival outcomes in patients with colon cancer

Objective

Handgrip strength (HGS) and the high-sensitivity modified Glasgow prognostic score (HS-mGPS) are associated with the survival of patients with cancer. However, no studies have investigated the combined effect of HGS and HS-mGPS on the overall survival (OS) of patients with colon cancer.

Methods

Prospective follow-up data of colon cancer patients undergoing radical resection from April, 2016 to September, 2019 were retrospectively collected. We combined the HGS and HS-mGPS to create a new composite index, HGS-HS-mGPS. The hazard ratio (HR) and 95% confidence interval (CI) were calculated using Cox regression models to assess the association between variables and OS. Risk factors on OS rates were investigated by Cox analyses and the nomogram was constructed using significant predictors and HGS-HS-mGPS. The predictive performance of the nomogram was evaluated by receiver operating characteristic curve and calibration curve.

Results

This study included a total of 811 patients, of which 446 (55.0%) were male. The HGS optimal cut-off values of male and female patients were 28.8 and 19.72 kg, respectively. Multivariate analysis revealed that low HGS and high HS-mGPS were independent risk factors of colon cancer after adjusting confounders (adjusted HR = 3.20; 95% CI: 2.27-4.50; p < 0.001 and adjusted HR = 1.55; 95% CI: 1.12-2.14; p = 0.008 respectively). Patients with low HGS and high HS-mGPS had a 10.76-fold higher mortality risk than those with neither (adjusted HR = 10.76; 95% CI: 5.38-21.54; p < 0.001). A nomogram predicting 1-, 3-, and 5 year OS was constructed based on three clinicopathologic prognostic factors. Importantly, incorporating HGS-HS-mGPS into the nomogram model meaningfully improved the predictive performance. The decision curve analyses demonstrated the application value of the HGS-HS-mGPS nomogram for predicting OS of patients with colon cancer.

Conclusion

HGS-HS-mGPS is associated with the survival of patients with colon cancer. These findings indicate the usefulness of HGS and HS-mGPS measurements in clinical practice for improving patient assessment, cancer prognosis, and precise intervention.

The inflammatory-nutritional score and nomogram for R0 resected head and neck soft tissue sarcoma

OBJECTIVES

To explore the predictive value of inflammatory-nutritional score (INS) and a nomogram for survivals in head and neck soft tissue sarcoma (HNSTS) patients with negative resection margins (R0).

METHODS

Clinical characteristics and hematological features of 315 HNSTS patients underwent R0 surgery were analyzed.

RESULTS

The 5-year overall survival (OS) rate, 3-year recurrence-free survival rate and disease-free survival (DFS) rate were 77.3%, 61.0% and 55.4%, respectively. High INS was associated with a deep tumor location (p < 0.001), high tumor grade (p < 0.001), and advanced AJCC stage (p < 0.001). The low-risk group (INS 0) exhibited a higher 5-year OS rate and 3-year DFS rate than others (87.6% vs. 81.3% vs. 53.3%, p < 0.001; 62.2% vs. 56.9% vs. 37.9%, p = 0.007). The INS (p = 0.023), tumor depth (p < 0.001), pT classification (p = 0.022), pN classification (p < 0.001) and tumor grade (p < 0.001) were independent survival predictors. Moreover, a novel nomogram for predicting OS was generated and assessed by the concordance index, exhibiting a better performance than the p7TNMG classification alone (p < 0.001).

CONCLUSIONS

For R0 resected HNSTS patients, the oncological outcomes can be predicted using the INS system and a specific nomogram.

Prognostic nutrition index as a predictive factor for overall survival in trabectedin-treated advanced soft tissue sarcoma

BACKGROUND

Trabectedin binds covalently to the DNA minor groove and causes DNA to bend toward the main groove, then trabectedin regulates the transcription of the involved genes in cell proliferation or acts on the mononuclear phagocyte system in tumors, which contributes to its antitumor effects. Several clinical trials confirmed the efficacy of trabectedin for patients with advanced soft tissue sarcoma (STS) although clinically useful biomarkers remained unidentified. This study aimed to identify prognostic factors of trabectedin treatment, especially focusing on the systemic inflammatory, immune response, and nutritional status.

METHODS

This study included 44 patients with advanced STS treated with trabectedin from January 2018 to August 2022. We evaluated the associations of clinical factors that influence the efficacy of trabectedin treatment with progression-free survival (PFS) and overall survival (OS), focusing on systemic inflammatory, immune response, and nutritional status represented by the absolute lymphocyte count (ALC), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammation response index (SIRI), prognostic nutrition index (PNI), and C-reactive protein (CRP) using the Kaplan-Meier method and the log-rank test.

RESULTS

ALC, LMR, PNI, NLR, PLR, and SIRI demonstrated no association with PFS. Patients with CRP of ≥0.3 had a significantly shorter PFS than those with CRP of <0.3 (median PFS: 863 vs. 105 days, P = 0.045). PNI of ≥44 (median: 757 days vs. 232 days, P = 0.021) and CRP of <0.3 (median: 877 days vs. 297 days, P = 0.043) were significantly good prognostic factors in terms of OS.

CONCLUSIONS

The study results indicate pretreatment PNI and CRP levels as prognostic factors for trabectedin treatment in advanced STS.

C‑reactive protein and related predictors in soft tissue sarcoma (Review)

C-reactive protein (CRP) is a useful predictor of poor survival in patients with several types of cancer because inflammation is strongly associated with cancer progression. The production of CRP in hepatocytes appears to be primarily induced at the transcriptional level following the elevation of circulating interleukin-6 (IL-6), which is produced by various cell types, including cancer cells and cancer-associated fibroblasts. Serum CRP levels are associated with serum IL-6 levels in patients with soft tissue sarcoma (STS). Additionally, patients with elevated CRP levels had worse oncological outcomes than those with normal CRP levels. It has been attempted to combine CRP levels with other inflammatory or immune markers, and the utility of this has been demonstrated. Therefore, a novel treatment strategy should be developed for patients with STS with elevated CRP levels. The present review aimed to clarify the role of CRP levels and related tools in predicting clinical outcomes in patients with STS.

Prognosis and complications of patients with primary gastrointestinal diffuse large B-cell lymphoma: Development and validation of the systemic inflammation response index-covered score

BACKGROUND

This study aimed to evaluate the predictive value of systemic inflammation response index (SIRI) in primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL) patients and establish a highly discriminating risk prediction model.

METHODS

This retrospective analysis included 153 PGI-DCBCL patients diagnosed between 2011 and 2021. These patients were divided into a training set (n = 102) and a validation set (n = 51). Univariate and multivariate Cox regression analyses were conducted to examine the significance of variables on overall survival (OS) and progression-free survival (PFS). An inflammation-covered score system was established according to the multivariate results.

RESULTS

The presence of high pretreatment SIRI (≥1.34, p < 0.001) was significantly associated with poorer survival and identified as an independent prognostic factor. Compared with NCCN-IPI, the prognostic and discriminatory capability of the novel model SIRI-PI showed a more precise high-risk assessment with a higher area under the curve (AUC) (0.916 vs 0.835) and C-index (0.912 vs 0.836) for OS in the training cohort, and similar results were obtained in the validation cohort. Moreover, SIRI-PI also showed good discriminative power for efficacy assessment. This new model identified patients at risk of developing severe gastrointestinal complications following chemotherapy.

CONCLUSIONS

The results of this analysis suggested that the pretreatment SIRI may be a potential candidate for identifying patients with a poor prognosis. And we established and validated a better-performing clinical model, which facilitated the prognostic stratification of PGI-DLBCL patients and can serve as a reference for clinical decision-making.

Systemic Inflammatory Indices in Second-Line Soft Tissue Sarcoma Patients: Focus on Lymphocyte/Monocyte Ratio and Trabectedin

A second-line standard of treatment has not yet been identified in patients with soft tissue sarcomas (STS), so identifying predictive markers could be a valuable tool. Recent studies have shown that the intratumoral and inflammatory systems significantly influence tumor aggressiveness. We aimed to investigate prognostic values of pre-therapy neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammatory index (SII), progression-free survival (PFS), and overall survival (OS) of STS patients receiving second-line treatment. In this single-center retrospective analysis, ninety-nine patients with STS were enrolled. All patients received second-line treatment after progressing to anthracycline. PFS and OS curves were calculated using the Kaplan-Meier method of RNA sequencing, and CIBERSORT analysis was performed on six surgical specimens of liposarcoma patients. A high NLR, PLR, and SII were significantly associated with worse PFS (p = 0.019; p = 0.004; p = 0.006). Low LMR was significantly associated with worse OS (p = 0.006). Patients treated with Trabectedin showed a better PFS when the LMR was low, while patients treated with other regimens showed a worse PFS when the LMR was low (p = 0.0154). The intratumoral immune infiltrates analysis seems to show a correlation between intratumoral macrophages and LMR. PS ECOG. The metastatic onset and tumor burden showed prognostic significance for PFS (p = 0.004; p = 0.041; p = 0.0086). According to the histologies, PFS was: 5.7 mo in liposarcoma patients vs. 3.8 mo in leiomyosarcoma patients vs. 3.1 months in patients with other histologies (p = 0.053). Our results confirm the prognostic role of systemic inflammatory markers in patients with STS. Moreover, we demonstrated that LMR is a specific predictor of Trabectedin efficacy and could be useful in daily clinical practice. We also highlighted a possible correlation between LMR levels and the percentage of intratumoral macrophages.

Utility of High-Sensitivity Modified Glasgow Prognostic Score in Cancer Prognosis: A Systemic Review and Meta-Analysis

The suitability of the high-sensitivity modified Glasgow Prognostic Score (HS-mGPS) in cancer patients remains unknown. We performed a systematic database search from 1 January 2010 to 30 September 2022, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Selected studies reported the HS-mGPS and survival outcomes in cancer patients. The association between the HS-mGPS and survival outcomes was evaluated using a random-effects model and expressed as pooled hazard ratios (HRs) with 95% CIs. This meta-analysis evaluated 17 studies with a total of 5828 cancer patients. A higher HS-mGPS was found to be associated with an adverse OS (HR = 2.17; 95% CI: 1.80-2.60), DSS (HR = 3.81; 95% CI: 2.03-7.17), and DFS (HR = 1.96; 95% CI: 1.48-2.58; all p ≤ 0.001). The prognostic value of the HS-mGPS for the OS trended in a consistent direction after subgrouping and sensitivity analysis. In conclusion, the HS-mGPS serves as a valid prognostic biomarker for cancer patients, with a high HS-mGPS associated with adverse survival outcomes.

Blood Biomarkers Predict Survival Outcomes in Patients with Hepatitis B Virus-Induced Hepatocellular Carcinoma Treated with PD-1 Inhibitors

Purpose

To investigate the prognostic value of blood markers in patients with hepatitis B virus (HBV)-induced hepatocellular carcinoma (HCC) treated with PD-1 inhibitors. Patients and Methods. We retrospectively collected and analyzed the clinicopathological data of 110 HBV-induced HCC patients treated with PD-1 inhibitors. Progression-free survival (PFS) and overall survival (OS) were scrutinized using Kaplan-Meier analysis and the log-rank test, and all potential risk factors were analyzed with univariate and multivariate Cox regression analyses.

Results

The mean OS and PFS were 6.5 and 5.5 months, respectively. According to Kaplan-Meier survival curves, elevated systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR) correlated with decreased OS and PFS (all P < 0.05), and low lymphocyte-to-monocyte ratio (LMR) correlated with decreased PFS and OS (all P < 0.05). Per multivariate Cox regression analyses, SII, PLR, and portal vein tumor thrombus (PVTT) correlated independently with PFS (all P < 0.05), whereas SII, PLR, NLR, and portal vein tumor thrombus (PVTT) correlated with OS (all P < 0.05).

Conclusion

SII, PLR, and PVTT predicted OS and PFS in HCC patients who received PD-1 inhibitors and, therefore, could be useful predictors for risk stratification and individualized therapeutic decision-making for patients with HBV-induced HCC treated with PD-1 inhibitors.

Modified Glasgow Prognostic Score is Better for Predicting Oncological Outcome in Patients with Soft Tissue Sarcoma, Compared to High-Sensitivity Modified Glasgow Prognostic Score

Background

Inflammation plays a critical role in the development, progression, clinical presentation, and diagnosis of tumours. We compared the usefulness of the high-sensitivity modified Glasgow prognostic score (HS-mGPS) and mGPS in predicting oncological outcomes in patients with soft tissue sarcomas (STSs) who underwent primary surgical tumour resection.

Methods

Between 2002 and 2018, 144 patients were included in the study. The mean age of the patients was 63 years. The mean follow-up period was 76 months.

Results

The disease-specific survival (DSS) at five years was 71.5% in all patients. When patients were divided into three groups according to the HS-mGPS and mGPS, those with a score of 1 or 2 had a poorer DSS than those with a score of 0, respectively. When we compared the survival rate among the 98 patients with both HS-mGPS and mGPS of 0 and 21 patients with HS-mGPS of 1 and mGPS of 0, there was no significant difference in the prognosis. In multivariate analysis, larger tumour size and higher mGPS remained significant.

Conclusion

mGPS is a reliable system for identifying patients at high risk for death in patients with STSs.

Prognostic Role of High-Sensitivity Modified Glasgow Prognostic Score for Patients With Operated Oral Cavity Cancer: A Retrospective Study

AIM

We probed the prognostic value of the preoperative high-sensitivity modified Glasgow prognostic score (HS-mGPS), neutrophil/lymphocyte ratio (NLR), and platelet/lymphocyte ratio (PLR) for patients with oral cavity squamous cell carcinoma (OSCC) to identify patients with the highest risk of having poor survival outcomes.

MATERIALS AND METHODS

We executed a retrospective assessment of the records of 303 patients with OSCC who had been subjected to curative surgery between January 2008 and December 2017. The HS-mGPS was categorized using C-reactive protein and albumin thresholds of 3 mg/L and 35 g/L, respectively. Moreover, receiver operating characteristic curve analyses were executed to find out the optimal PLR and NLR cutoffs. We plotted survival curves and compared them through the use of the Kaplan-Meier method and log-rank test, respectively. Through a Cox proportional hazard model, we identified prognostic variables. We also plotted a nomogram comprising the HS-mGPS and clinicopathological factors and assessed its performance with the concordance index.

RESULTS

The PLR and NLR cutoffs were 119.34 and 4.51, respectively. We noted an HS-mGPS of 1-2 to be associated with a shorter median overall survival (OS) and disease-fee survival (DFS) compared with an HS-mGPS of 0. Multivariate analysis revealed that an HS-mGPS of 1-2 and an NLR of ≥4.51 were independent risk factors related to poor OS and DFS. The HS-mGPS appeared to have better prognostic effect than did the PLR and NLR, and the combination of the HS-mGPS and NLR appeared to exhibit optimal discriminative ability for OS prognostication. The nomogram based on the HS-mGPS and NLR yielded accurate OS prediction (concordance index = 0.803).

CONCLUSION

Our findings suggest that preoperative HS-mGPS is a promising prognostic biomarker of OSCC, and the nomogram comprising the HS-mGPS and NLR provided accurate individualized OSCC survival predictions.

Systemic Inflammation Status Relates to Anti-Inflammatory Drug Benefit and Survival in Rectal Cancer

BACKGROUND

Systemic inflammation status has been recognized as a sensitive marker associated with survival in cancers and anti-inflammatory treatment outcomes in inflammation-derived diseases. This study aimed to investigate the role of systemic inflammation status as a predictive marker for survival and anti-inflammatory treatment benefit in rectal cancer patients.

METHODS

A total of 475 patients with stage I-III rectal cancer receiving curative resection were prospectively enrolled. The platelet-neutrophils to lymphocytes ratio (PNLR) that integrates neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios was applied to enable a comprehensive evaluation of systemic inflammation status and investigate its association with survival and nonsteroidal anti-inflammatory drugs (NSAIDs) benefit. Patients were grouped according to baseline PNLR and perioperative use of NSAIDs.

RESULTS

The high-PNLR group had worse 5-y disease-free survival (DFS) compared with the low-PNLR group (61.2% versus 70.9%, P = 0.014). Multivariate analyses confirmed that PNLR was an independent predictor for DFS (hazard ratio [HR] 1.42, 95% CI: 1.03-1.97, P = 0.031). A nomogram including PNLR and other independent prognostic factors was developed and validated to predict DFS. In the high-PNLR subset, NSAIDs group had a 21.3% lower risk of recurrence than non-NSAIDs group (P = 0.009), and multivariate analysis confirmed the independently significant association of perioperative NSAIDs use with better DFS (hazard ratio 0.36, 95% CI 0.16-0.78, P = 0.010). However, this association was not significant in the low-PLR subset.

CONCLUSIONS

Baseline PNLR could be used to predict DFS and NSAIDs benefit in rectal cancer patients. This study highlights the potential survival benefit from the anti-inflammatory treatment in the patients with elevated systemic inflammation status in cancer patients.

Prognostic and clinicopathological significance of systemic immune-inflammation index in pancreatic cancer: a meta-analysis of 2,365 patients

The prognostic value of the systemic immune-inflammation index (SII) in patients with pancreatic cancer is conflicting according to previous investigations. Therefore, we performed a meta-analysis to explore the association between SII and pancreatic cancer prognosis. Electronic databases were searched for studies exploring the association of SII with prognostic outcomes in pancreatic cancer. The endpoints were overall survival (OS), disease-free survival (DFS), recurrence-free survival (RFS), progression-free survival (PFS), cancer-specific survival (CSS), and clinicopathological parameters. The prognostic value of SII was estimated by hazard ratio (HR) or odds ratio (OR) with a 95% confidence interval (CI). Nine studies containing 11 cohorts with 2,365 subjects in total were included in this meta-analysis. Elevated SII was associated with poor OS (HR=1.50, 95% CI=1.15-1.96, p=0.002), RFS/PFS/DFS (HR=1.52, 95% CI=1.01-2.28, p=0.045), and CSS (HR=2.60, 95% CI=1.65-4.09, p < 0.001) in patients with pancreatic cancer. Additionally, there was no significant association between SII and other parameters in pancreatic cancer such as sex, tumor location, lymph node metastasis, tumor-node-metastasis stage, vascular invasion, and grade. This meta-analysis suggested that elevated SII was a significant prognostic marker for short-term and long-term survival outcomes in patients with pancreatic cancer.

Predictive Value of Preoperative Controlling Nutritional Status Score Combined with Fibrinogen-Albumin Ratio in Postoperative Local Recurrence-Free Survival of Patients with Retroperitoneal Liposarcoma

Background

Previous studies have shown that nutrition and systemic inflammation plays an essential role in the development of soft tissue sarcoma. However, few studies have explored the association of clinicopathologic features and local recurrence with nutritional and inflammatory markers in retroperitoneal liposarcoma (RPLS). This study sought to evaluate the prognostic value of the preoperative nutritional and inflammatory markers for local recurrence-free survival (LRFS) among surgical RPLS patients.

Methods

The study included 111 RPLS patients who underwent surgery between May 2010 and June 2019 at the Peking University Cancer Hospital Sarcoma Center. Time-dependent receiver operating characteristic (time-ROC) curve analysis was conducted to evaluate the ability of markers to predict LRFS. The associations of the CONUT-FAR score with clinicopathological variables and LRFS were evaluated.

Results

In the time-ROC curve analysis, the CONUT-FAR score was superior to other nutritional and inflammatory markers in predicting LRFS. The CONUT-FAR score was the only nutritional and inflammatory marker that independently predicted LRFS in the multivariate analysis, and patients with a high CONUT-FAR score (> 11) showed significantly decreased LRFS. Although the CONUT-FAR score failed to discriminate patients with low grade (G1) (p = 0.327) or undergoing incomplete (R2) resection (p = 0.072), it stratified patients with high grade (G2 and G3) or undergoing complete resection (R0/R1) into subgroups with significantly distinct LRFS (p < 0.001). The CONUT-FAR score also showed good clinical utility among patients with different clinical characteristics.

Conclusion

The preoperative CONUT-FAR score reflects both nutritional and inflammatory factors and is an effective predictor of LRFS for surgical RPLS patients.

Systemic Inflammation Response Index and Systemic Immune-Inflammation Index Are Associated with Clinical Outcomes in Patients Treated with Mechanical Thrombectomy for Large Artery Occlusion

BACKGROUND

Inflammation plays a pivotal role in acute ischemic stroke, and various inflammatory markers are known to predict prognosis of acute ischemic stroke. This study aimed to evaluate the prognostic value of systemic inflammation response index (SIRI) and systemic immune-inflammation index (SII) after mechanical thrombectomy (MT) for acute ischemic stroke caused by large artery occlusion.

METHODS

The study enrolled 440 patients who underwent MT for large artery occlusion. SIRI and SII were calculated using laboratory data on admission. Prognosis was estimated with modified Rankin Scale at 3 months, and favorable clinical outcome was defined by a modified Rankin Scale score of 0-2. Receiver operating characteristic analysis was used to calculate the optimal cutoff values of SIRI and SII for predicting clinical outcome. Multivariate analysis was used to assess the relationship of SIRI and SII with clinical outcome.

RESULTS

In receiver operating characteristic analysis, the optimal cutoff values for SIRI and SII were 2.9 and 853, respectively (area under the curve 0.799, 95% confidence interval [CI] 0.756-0.843, P < 0.001 and area under the curve 0.679, 95% CI 0.643-0.745, P < 0.001, respectively). Multivariate analysis revealed that SIRI <2.9 (odds ratio 2.27, 95% CI 1.29-5.17, P = 0.019) and SII <853 (OR 1.82, 95% CI 1.16-3.10, P = 0.031) were independent predictors of favorable clinical outcome after MT.

CONCLUSIONS

Decreased SIRI and SII were associated with favorable clinical outcome after MT. SIRI and SII represent potential prognostic factors in patients undergoing MT for large artery occlusion.

Role of the Prognostic Nutritional Index in Patients With Soft-tissue Sarcoma

BACKGROUND

This study aimed to determine whether the prognostic nutritional index (PNI) can predict the prognosis in patients with soft-tissue sarcoma (STS) before treatment and to examine whether there is an association between PNI values and clinical characteristics.

PATIENTS AND METHODS

The data on 100 patients with primary STS were retrospectively reviewed. The cohort included 55 men and 45 women, with a mean age of 64 years. The mean follow-up duration was 41.7 months.

RESULTS

The median PNI was 51.35. The PNI was significantly inversely associated with tumor size, tumor grade, and age. We found that the PNI was a significant prognostic marker for disease-specific and event-free survival using univariate and multivariate analyses. Patients with a low PNI had poorer disease-specific and event-free survival than those with a high PNI.

CONCLUSION

These results suggest that the PNI can be used as a prognostic marker in patients with STS.

Prognostic Value of High-Sensitivity Modified Glasgow Prognostic Score in Castration-Resistant Prostate Cancer Patients Who Received Docetaxel

Simple Summary

Prostate cancer is one of the most prevalent cancers in men. Prostate cancer is characterized by an early response to hormonal therapy and prostate-specific antigen (PSA) is useful for diagnosis, prognosis, and treatment evaluation. However, if the patient becomes resistant to treat and develops castration-resistant prostate cancer (CRPC), it is difficult to predict prognosis and evaluate response to treatment using PSA alone. In this study, we found that the high-sensitivity modified Glasgow prognostic score (Hs-mGPS), an inflammatory response score, is a more powerful prognostic factor for CRPC than the modified Glasgow prognostic score (mGPS) previously studied. Furthermore, we suggest that risk classification using Hs-mGPS, PSA, and testosterone (TST) may be a useful tool to predict the prognosis of late staged CRPC.

Abstract

The Glasgow prognostic score, a marker of systemic inflammation, is associated with clinical outcomes in different cancers including prostate cancer. However, there is no evidence for the relationship between the high-sensitivity modified Glasgow prognostic score (Hs-mGPS) in prostate cancer and its prognosis. This study aimed to investigate the prognostic significance of Hs-mGPS in castration-resistant prostate cancer (CRPC) treated with docetaxel. We retrospectively analyzed clinical datasets from 131 CRPC patients who received docetaxel treatment at Chiba University Hospital and a related hospital. Clinical factors including Hs-mGPS before docetaxel treatment were evaluated according to overall survival. The numbers of patients with Hs-mGPS of 0, 1, and 2 were 88, 30, and 13, respectively. The median prostate-specific antigen (PSA) level was 28.9 ng/mL. The median testosterone level was 13.0 ng/dL. The percentages of bone and visceral metastases were 80.8% and 10.2%, respectively. For overall survival, Hs-mGPS ≥ 1 (hazard ratio of 2.41; p = 0.0048), testosterone ≥ 13.0 ng/dL (hazard ratio of 2.23; p = 0.0117), and PSA ≥ 28.9 ng/mL (hazard ratio of 2.36; p = 0.0097) were significant poor prognostic factors in the multivariate analysis. The results of the two-group analysis showed that a higher Hs-mGPS was associated with high PSA, alkaline phosphatase, and testosterone levels. The median testosterone levels for Hs-mGPS of 0, 1, and 2 were 9.0, 16.5, and 23.0, respectively. Based on the multivariate analysis, we created a combined score with three prognostic factors: Hs-mGPS, testosterone, and PSA. The low-risk group (score of 0–1) showed a significantly longer overall survival compared to the intermediate-risk (score of 2–3) and high-risk (score of 4) groups (p < 0.0001). Our results demonstrated that an elevated Hs-mGPS was an independent prognostic factor in CRPC patients treated with docetaxel therapy. Risk classification based on Hs-mGPS, testosterone, and PSA may be useful in predicting the prognosis of CRPC patients.