Modified Glasgow Prognostic Score as a Prognostic Factor in Patients with Extensive Disease-Small-Cell Lung Cancer: A Retrospective Study in a Single Institute

Prognostic value of pretreatment modified Glasgow Prognostic Score in small cell lung cancer: A meta-analysis

BACKGROUND

The prognostic role of pretreatment modified Glasgow Prognostic Score (mGPS) in small cell lung cancer (SCLC) patients remains unclear now.

METHODS

The PubMed, EMBASE, Web of Science, and CNKI electronic databases were searched up to December 14, 2022. The primary and secondary outcomes were overall survival and progression-free survival, respectively. The hazard ratios (HRs) and 95% confidence intervals (CIs) were combined to assess the association between pretreatment mGPS and survival of SCLC patients. Subgroup analysis based on the country, tumor stage, treatment and comparison of mGPS were further conducted and all statistical analyses were performed by STATA 15.0 software.

RESULTS

A total of ten retrospective studies involving 2831 SCLC patients were included. The pooled results demonstrated that elevated pretreatment mGPS was significantly related to poorer overall survival (HR = 1.90, 95% CI: 1.36-2.63, P < .001) and progression-free survival (HR = 1.40, 95% CI: 1.13-1.74, P = .002). Subgroup analysis stratified by the country, tumor stage, treatment and comparison of mGPS also showed similar results.

CONCLUSION

Pretreatment mGPS was significantly associated with prognosis in SCLC and patients with elevated mGPS experienced obviously worse survival. Thus, pretreatment mGPS could serve as a novel and reliable prognostic indicator in SCLC patients.

The Glasgow Prognostic Score Predicts Survival Outcomes in Patients with Extensive-Stage Small Cell Lung Cancer

INTRODUCTION

The Glasgow prognostic score (GPS) is an inflammation-related score based on C-reactive protein and albumin concentrations. Few studies have assessed the correlation between the GPS and the efficacy of chemotherapy in patients with extensive-stage small cell lung cancer (ES-SCLC). Therefore, this study aimed to evaluate the utility of the GPS in predicting the survival outcomes of patients with ES-SCLC.

METHODS

This retrospective study evaluated patients with ES-SCLC who had undergone chemotherapy between February 2008 and November 2021. GPS values were evaluated before the initiation of first-line chemotherapy. The Kaplan-Meier method and Cox proportional hazards models were used to assess progression-free survival (PFS) and overall survival (OS).

RESULTS

The GPS values of the 113 patients were zero (54 patients, 48%), 1 (37 patients, 33%), and 2 (22 patients, 19%). The median follow-up duration was 10.7 months. Median PFS was 6.2, 5.6, and 3.8 months in the GPS 0, 1, and 2 groups, respectively, suggesting that the GPS zero group had a significantly more favorable PFS than the GPS 2 group (p < 0.001). Median OS was 17.1, 9.4, and 5.6 months in the GPS 0, 1, and 2 groups, respectively, suggesting that the GPS zero group had a significantly more favorable OS than the GPS 2 group (p = 0.001). Multivariate analysis confirmed that a GPS of 2 independently predicted unfavorable PFS (hazard ratio [HR], 2.89; 95% confidence interval [CI]: 1.68-4.88; p < 0.001) and OS (HR, 3.49 [95% CI: 1.83-6.63], p < 0.001).

CONCLUSION

The study's findings suggest that the GPS can predict the survival outcomes of patients with ES-SCLC who have undergone chemotherapy. The GPS is an easy-to-calculate biomarker and would be ideal for routine use in clinical settings.

Pretreatment glasgow prognostic score predicts survival among patients administered first-line atezolizumab plus carboplatin and etoposide for small cell lung cancer

Background

There are no established predictive biomarkers for the effectiveness of first-line atezolizumab plus carboplatin and etoposide therapy in patients with small-cell lung cancer (SCLC). Therefore, the current study aimed to investigate whether the Glasgow prognostic score (GPS), neutrophil-to-lymphocyte ratio (NLR), and body mass index (BMI) can predict the effectiveness of first-line atezolizumab plus carboplatin and etoposide therapy in patients with extensive-disease SCLC.

Methods

We reviewed data from 84 patients who received first-line atezolizumab plus carboplatin and etoposide therapy for SCLC at nine Japanese institutions between August 2019 and May 2021. Further, we evaluated the prognostic value of the GPS, NLR, and BMI. The Kaplan-Meier and Cox proportional hazard models were used to examine differences in progression-free survival (PFS) and overall survival (OS). Moreover, the GPS, NLR, and BMI consisted of C-reactive protein and albumin concentrations, neutrophil and lymphocyte counts, and body weight and height, respectively.

Results

The response rate was 72.6% (95% confidence interval: 63.0-82.1%). The median PFS and OS from the initiation of treatment were 5.4 (95% CI: 4.9-5.9) months and 15.4 (95% CI: 11.4-16.8) months, respectively. The GPS independently predicted the effectiveness of first-line atezolizumab plus carboplatin and etoposide treatment, as a favorable GPS (GPS 0-1) was correlated with significantly better PFS and OS rates compared to a poor GPS (GPS 2) (PFS: 5.8 vs. 3.8 months, p = 0.0005; OS: 16.5 vs. 8.4 months, p<0.0001).

Conclusions

This is the first analysis to evaluate the association between the GPS, NLR, and BMI and the treatment effectiveness of survival among patients receiving first-line atezolizumab plus carboplatin and etoposide therapy for SCLC. Among patients receiving this treatment for SCLC, GPS was significantly associated with the PFS and OS rates, suggesting that GPS might be useful for evaluating therapeutic outcomes in these patients.

Platelet-lymphocyte ratio is a prognostic marker in small cell lung cancer-A systemic review and meta-analysis

Aim

The aim of this study was to evaluate the relationship between platelet-lymphocyte ratio (PLR) and prognosis in small cell lung cancer (SCLC) patients.

Method

A comprehensive search was carried out to collect related studies. Two independent investigators extracted the data of hazard ratio (HR) and 95% confidence interval (CI) for overall survival (OS) or progression-free survival (PFS). A random-effect model was applied to analyze the effect of different PLR levels on OS and PFS in SCLC patients. Moreover, subgroup analysis was conducted to seek out the source of heterogeneity.

Results

A total of 26 articles containing 5,592 SCLC patients were included for this meta-analysis. SCLC patients with a high PLR level had a shorter OS compared with patients with a low PLR level, in both univariate (HR = 1.56, 95% CI 1.28-1.90, p < 0.0001) and multivariate (HR = 1.31, 95% CI 1.08-1.59, p = 0.007) models. SCLC patients with a high PLR level had a shorter PFS compared with patients with a low PLR level, in the univariate model (HR = 1.71, 95% CI 1.35-2.16, p < 0.0001), but not in the multivariate model (HR = 1.17, 95% CI 0.95-1.45, p = 0.14). Subgroup analysis showed that a high level of PLR shortened OS in some subgroups, including the Asian subgroup, the younger subgroup, the mixed-stage subgroup, the chemotherapy-dominant subgroup, the high-cutoff-point subgroup, and the retrospective subgroup. PLR level did not affect OS in other subgroups.

Conclusion

PLR was a good predictor for prognosis of SCLC patients, especially in patients received chemotherapy dominant treatments and predicting OS.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022383069.

C-PLAN index as a prognostic factor for patients with previously untreated advanced non-small cell lung cancer who received combination immunotherapy: A multicenter retrospective study

BACKGROUND

Combination immunotherapy (immune checkpoint inhibitors and cytotoxic anticancer agents) is widely used as first-line treatment for advanced non-small cell lung cancer (NSCLC). However, the therapeutic effect of combination immunotherapy has not been fully investigated. C-reactive protein, performance status, lactate dehydrogenase, albumin, and derived neutrophil-to-lymphocyte ratio (C-PLAN) are useful biomarkers for predicting the prognosis of NSCLC; however, there are no reports examining the C-PLAN index, which combines these five factors in a single prognostic factor.

METHODS

We retrospectively collected data from 178 patients with previously untreated advanced NSCLC who received combination immunotherapy at multicenter institutions in Nagano Prefecture between December 2018 and April 2022. We investigated the utility of the C-PLAN index as a prognostic factor using Cox regression analysis and correlated it with survival.

RESULTS

The good and poor C-PLAN index groups included 85 and 93 patients, respectively. The good C-PLAN index group had a longer median progression-free survival (PFS) (10.7 vs. 6.0 months; p = 0.022) and overall survival (OS) (25.3 vs. 16.5 months; p = 0.003) than the poor C-PLAN index group. The C-PLAN index was an independent favorable prognostic factor that correlated with PFS and OS in multivariate analysis. The good C-PLAN index group had a higher proportion of never-smokers (16.5 vs. 4.3%; p = 0.007) and stage III disease/postoperative recurrence (32.9 vs. 15.1%; p = 0.005) than the poor C-PLAN index group.

CONCLUSION

The C-PLAN index is a useful prognostic factor for patients with previously untreated advanced NSCLC undergoing combination immunotherapy.

Assessment of Naples prognostic score in predicting survival for small cell lung cancer patients treated with chemoradiotherapy

BACKGROUNDS

The Naples prognosis score (NPS) is a novel prognostic biomarker-based immune and nutritional status and that can be used to evaluate prognosis. Our study aimed to investigate the prognostic role of NPS in SCLC patients.

METHODS

Patients treated with chemoradiotherapy were retrospectively analyzed between June 2012 and August 2017. We divided patients into three groups depending on the NPS: group 0, n = 31; group 1, n = 100; and group 2, n = 48, and associations between clinical characteristics and NPS group were analyzed. The univariable and multivariable Cox analyses were used to evaluate the prognostic value of clinicopathological characteristics and laboratory indicators for overall survival (OS) and progression-free survival (PFS).

RESULTS

Data from 179 patients were analyzed. Treatment modality (p < 0.001) and serum CEA (p = 0.03) were significantly different among the NPS groups. The age, sex, smoking status, KPS, Karnofsky performance score (KPS), disease extent, and number of metastatic sites were not correlated with NPS (all p > 0.05). KPS, disease extent, prophylactic cranial irradiation, treatment response and NPS Group were associated with OS. In addition, KPS, disease extent, prophylactic cranial irradiation, treatment response and NPS Group were associated with PFS. Multivariate analysis results showed that NPS was identified as an independent prognostic factor for OS (Group 1: hazard ratio [HR] = 2.704, 95% confidence interval [CI] = 1.403-5.210; p = 0.003; Group 2: HR = 5.154, 95% CI = 2.614-10.166; p < 0.001) and PFS (Group 1: HR = 2.018, 95% CI = 1.014-4.014; p = 0.045; Group 2: HR = 3.339, 95% CI = 1.650-6.756; p = 0.001).

CONCLUSIONS

NPS is related to clinical outcomes in patients with SCLC.

Validation of Pretreatment Prognostic Factors and Prognostic Staging Systems for Small Cell Lung Cancer in a Real-World Data Set

Simple Summary

We present an analysis of a real-world cohort of patients with small cell lung cancer (SCLC) and examine the value of prognostic factors and scores that have been published in recent decades. In our analysis, only a few clinical (age, tumor stage) and a single laboratory parameter (alkaline phosphatase) are associated with the prognosis of patients with SCLC. We could not confirm the prognostic role of most of the published complex prognostic scores.

Abstract

Treatment decisions in patients with small cell lung cancer (SCLC) are made based on the extent of the disease. However, the outcome varies among patients at the same stage. A simple tool to predict outcomes in SCLC patients would be helpful for clinical decision-making. In recent years, several prognostic scores have been proposed. In this study, we evaluated the different prognostic factors in an unselected real-world cohort of patients. We retrospectively collected clinical, radiological and laboratory data from 92 patients diagnosed with SCLC. Univariate and multivariate cox regression analyses of survival were performed to assess the prognostic value of relevant clinical and laboratory factors for SCLC. Furthermore, we examined the association between eight published prognostic scores for SCLC and overall survival (OS). In the overall cohort, the median OS was 10.3 months (20.9 months and 9.2 months for limited disease (LD) SCLC and extensive disease (ED) SCLC, respectively). In univariate analysis, initial staging, number of metastatic sites and presence of liver, bone and adrenal gland metastases were significantly associated with worse OS. Of the established laboratory markers, albumin, alkaline phosphatase and hyponatremia but not lactate dehydrogenase (LDH) significantly predicted OS. All published prognostic scores, with the exception of the Glasgow Prognostic Score, did not significantly predict OS. In multivariate analysis, age, staging and alkaline phosphatase serum levels showed significant association with OS. We could not confirm the prognostic significance of most of the published complex prognostic scores. We therefore recommend using simple clinical and laboratory factors instead of complex scores to estimate the prognosis of SCLC patients in clinical practice.

Inflammation-scores as prognostic markers of overall survival in lung cancer: a register-based study of 6,210 Danish lung cancer patients

Background

Inflammation-scores based on general inflammation markers are suggested as prognostic markers of overall survival (OS) in lung cancer. However, whether these inflammation-scores improves the prognostication performed by well-established prognostic markers is unsettled. In a large register-based lung cancer patient cohort, nine different inflammation-scores were compared, and their ability to optimize the prognostication of OS was evaluated.

Methods

Lung cancer patients diagnosed from 2009–2018 in The Central Denmark Region were identified in the Danish Lung Cancer Registry. Pre-treatment inflammation markers were extracted from the clinical laboratory information system. Prognostication of OS was evaluated by Cox proportional hazard models. Comparison of the inflammation-scores and their added value to established prognostic markers were assessed by Akaike's information criteria and Harrel's C-index.

Results

In total, 5,320 patients with non-small cell lung cancer (NSCLC) and 890 patients with small cell lung cancer (SCLC) were identified. In NSCLC, the Aarhus composite biomarker score (ACBS), including albumin, C-reactive protein, neutrophil count, lymphocyte count and haemoglobin, and the neutrophil-lymphocyte-ratio (NLR) were superior. Furthermore, they improved the prognostication of OS significantly (p <0.0001) (ACBS: HR: 2.24 (95%CI: 1.97–2.54); NLR: HR: 1.58 (95%CI: 1.47 – 1.69)). In SCLC, three scores were equally superior and improved the prognostication of OS p < 0.0001): neutrophil–lymphocyte-ratio (HR:1.62 (95%CI: 1.38–1.90)), modified Glasgow Prognostic Score (mGPS) (HR:1.70 (95%CI: 1.55–1.86) and the Combined NLR and GPS (CNG) (HR:2.10 (95%CI: 1.77–2.49).

Conclusions

The ACBS was the optimal score in NSCLC, whereas neutrophil–lymphocyte-ratio, mGPS and CNG were equally superior in SCLC. Additionally, these inflammation-scores all optimised the prognostication of OS and added value to well-established prognostic markers.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-09108-5.

Glasgow prognostic score for prediction of chemotherapy-triggered acute exacerbation interstitial lung disease in patients with small cell lung cancer

BACKGROUND

Predicting the incidence of chemotherapy-triggered acute exacerbation of interstitial lung disease (AE-ILD) in patients with lung cancer is important because AE-ILD confers a poor prognosis. The Glasgow prognostic score (GPS), which is an inflammation-based index composed of serum levels of C-reactive protein and albumin, predicts prognosis in patients with small cell lung cancer (SCLC) without ILD. In this study, we investigated AE-ILD and survival outcome based on the GPS in patients with ILD associated with SCLC who were receiving chemotherapy.

METHODS

Medical records of patients who received platinum-based first-line chemotherapy between June 2010 and May 2019 were retrospectively reviewed to compare the incidence of AE-ILD and overall survival (OS) between GPS 0, 1, and 2.

RESULTS

Among our cohort of 31 patients, six (19.3%) experienced chemotherapy-triggered AE-ILD. The AE-ILD incidence increased from 9.5% to 25.0% and 50.0% with increase in GPS of 0, 1, and 2, respectively. Univariate and multivariate analyses revealed remarkable associations between GPS 2 and both AE-ILD (odds ratio for GPS 2, 18.69; p = 0.046) and prognosis (hazard ratio of GPS 2, 13.52; p = 0.002). Furthermore, median OS in the GPS 0, 1, and 2 groups was 16.2, 9.8, and 7.1 months, respectively (p < 0.001).

CONCLUSIONS

Our results suggest that GPS 2 is both a predictor of risk of chemotherapy-triggered AE-ILD and a prognostic indicator in patients with ILD associated with SCLC. We propose that GPS may be used as a guide to distinguish chemotherapy-tolerant patients from those at high risk of AE-ILD.

Inflammation scores as prognostic biomarkers in small cell lung cancer: a systematic review and meta-analysis

BACKGROUND

Inflammation scores based on general inflammation markers as leucocyte count or C-reactive protein have been evaluated as prognostic markers of inferior survival in several cancers. In small cell lung cancer (SCLC), however, inflammation scores are less studied. In the present study, we set out to perform a systematic review and meta-analysis investigating reported associations between inflammation scores and overall survival (OS) in SCLC.

METHODS

A literature search was performed in PubMed, Embase, Scopus, and Web of Science following the Preferred Reporting Items for Systematic and Meta-Analyses (PRISMA) guidelines. Of the identified publications, only studies in English containing original data evaluating inflammation scores as a prognostic factor in SCLC patients were included. Hazard ratios (HRs) for OS were pooled in a random-effects model.

RESULTS

In total, 33 articles were included evaluating eight different inflammation scores in 7762 SCLC patients. Seven of the identified scores were based on leucocyte count. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte (PLR) ratio were the most frequently evaluated scores (NLR: n = 23; PLR: n = 22). For NLR, a meta-analysis including 16 studies demonstrated that patients with a high NLR had a significantly shorter OS compared to patients with a low NLR (pooled HR = 1.39 (95% CI, 1.23-1.56)). For PLR, an association with survival could not be confirmed in a meta-analysis performed based on eight studies (pooled HR = 1.20 (95% CI, 0.96-1.51)).

CONCLUSIONS

This review identifies that inflammation scores based on general inflammation markers have some potential as prognostic biomarkers in SCLC. The meta-analyses indicated that NLR is associated with inferior OS, whereas an association between PLR and OS could not be confirmed. Thus, NLR could be a useful biomarker of OS in SCLC patients.

SYSTEMATIC REVIEW REGISTRATION

The protocol for the study was submitted to the PROSPERO database (registration number CRD42020188553 ).

Prognostic and clinical significance of modified glasgow prognostic score in pancreatic cancer: a meta-analysis of 4,629 patients

In this study, we evaluated the association of modified Glasgow Prognostic Score (mGPS) with prognosis in pancreatic cancer (PC) by performing a meta-analysis. Potentially eligible studies were shortlisted by searching PubMed, Embase, Web of Science, Scopus, and the Cochrane Library. A total of 4,629 patients with PC from 25 studies were finally included in this meta-analysis. Meta-analyses were performed using a random-effects model or fixed-effect model according to heterogeneity. We pooled the hazard ratios (HRs) with 95% confidence intervals (CIs) to estimate the association between mGPS and overall survival (OS). The results showed that elevated mGPS correlated with poor OS in patients with PC (HR=1.92, 95% CI=1.60–2.30, p<0.002). In addition, subgroup analysis indicated that increased mGPS remained a significant prognostic factor irrespective of the study design, region, disease status, treatment, survival analysis, cancer type, study center, or the Newcastle-Ottawa Scale (NOS) score (all p<0.05). There was a significant correlation between higher mGPS and male gender (Odds ratio [OR]=1.30, 95% CI=1.01–1.67, p=0.038). Elevated pretreatment mGPS is a marker of poor prognosis in patients with PC. As an easily available and cost-effective inflammatory parameter, mGPS can serve as a promising tool for prognostication in PC.

The Influence of Systemic Inflammation Response Index on Survival Outcomes of Limited-Stage Small-Cell Lung Cancer Patients Treated with Concurrent Chemoradiotherapy

Background

Recent studies have indicated that the systemic inflammation response index (SIRI) can efficiently predict survival outcomes in various tumor types. Thusly, in absence of comparable investigations in limited-stage small-cell lung cancers (LS-SCLCs), we aimed to retrospectively evaluate the prognostic utility of SIRI in LS-SCLC patients treated with concurrent chemoradiotherapy (CRT). Patients and Methods. Present multi-institutional retrospective analysis incorporated LS-SCLC patients treated with CRT at three academic radiation oncology centers between January 2007 and December 2018. The SIRI was calculated by using the peripheral blood neutrophil (N), monocyte (M), and lymphocyte (L) counts acquired in the last ≤7 days before the commencement of the CRT: SIRI = N × M/L. Accessibility of pretreatment SIRI cutoff that may stratify the study population into two gatherings with distinctive overall survival (OS) results was evaluated by utilizing the receiver operating characteristic (ROC) curve analysis. Primary objective was the association between the SIRI values and the OS results.

Results

Search for the availability of an ideal SIRI cutoff that may stratify the entire patients' population into two particular groups with distinctive OS outcomes identified the 1.93 value (area under the curve (AUC): 72.9%; sensitivity: 74.6%; specificity: 70.1%): Group 1: SIRI <1.93 (N = 71) and Group 2: SIRI ≥1.93 (N = 110), respectively. At a median follow-up of 17.9 (95% CI: 13.2-22.6) months, 47 (26.0%) patients were still alive (47.9% for SIRI <1.93 versus 18.3% for SIRI ≥1.93; p < 0.001). Kaplan-Meier comparisons between the two SIRI groups showed that the SIRI <1.93 cohort had significantly longer median OS (40.5 versus 14.2 months; p < 0.001) than the SIRI ≥1.93 cohort. Similarly, the 3- (54% versus 12.6%) and 5-year (33% versus 9.9%) OS rates were also numerically superior in the SIRI <1.93 cohort. Results of the multivariate analyses uncovered that the prognostic significance of the SIRI on OS outcomes was independent of the other confounding variables.

Conclusions

The results of this retrospective multi-institutional cohort analysis suggested that a pre-CRT SIRI was a strong and independent prognostic biomarker that reliably stratified LS-SCLC patients into two cohorts with significantly different OS outcomes.

Is Onodera's prognostic nutritional index (OPNI) a prognostic factor in small cell lung cancer (SCLC)?

INTRODUCTION

We aimed to evaluate the prognostic value of Onodera's prognostic nutritional index (OPNI) in patients with Small-cell lung cancer (SCLC).

MATERIALS AND METHODS

This study retrospectively examined 109 patients diagnosed with SCLC between January 2008 and October 2018 in our hospital. Patients were divided into two groups according to the median of OPNI values.

RESULTS

A significant difference was observed between the groups in terms of neutrophil percentage, lymphocyte count, lymphocyte percentage, C-reactive protein (CRP), albumin, lactat dehidrogenase (LDH) and neutrophil to lymphocyte ratio (NLR) (P < 0.05). LDH, CRP, neutrophil percentage and NLR (P = 0.008, P < 0.001, P = 0.001, P < 0.001, respectively) were significantly higher and albumin, lymphocyte count and lymphocyte percentage (P < 0.001, P < 0.001, P = 0.001, respectively) were significantly lower in the low OPNI group. Survival analyses have shown that mortality rates and lifespan are similar in the two groups.

CONCLUSION

The OPNI may be a helpful tool for determining the prognosis in SCLC.

Prognostic Significance of the Modified Glasgow Prognostic Score in Patients With Pancreatic Cancer: A Meta-Analysis

BACKGROUND

The prognostic value of the modified Glasgow prognostic score (mGPS) in patients with pancreatic cancer is controversial, based on previous studies. Therefore, this meta-analysis aimed to explore the relationship between mGPS and prognosis in pancreatic cancer.

METHODS

The databases PubMed, Web of Science, Embase, and the Cochrane Library were searched to identify eligible studies. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate the associations between mGPS score and survival outcomes.

RESULTS

A total of 26 studies with 5198 patients were included in this meta-analysis. In a pooled analysis, elevated mGPS predicted poorer overall survival (OS; HR = 1.98, 95% CI, 1.65-2.37, P < .001). In addition, elevated mGPS was also significantly associated with worse progression-free survival (PFS), disease-free survival (DFS), and cancer-specific survival (CSS; HR = 1.95, 95% CI, 1.36-2.80, P < .001). Subgroup analyses confirmed a significant association between mGPS and survival outcomes.

CONCLUSIONS

Our meta-analysis demonstrated that high mGPS was correlated to worse OS, PFS, DFS, and CSS in patients with pancreatic cancer. Therefore, mGPS could be employed as an effective prognostic factor for pancreatic cancer in clinical practice.

Impact of Amrubicin Monotherapy as Second-Line Chemotherapy on Outcomes in Elderly Patients with Relapsed Extensive-Disease Small-Cell Lung Cancer

Purpose

Amrubicin (AMR) is an anticancer drug for patients with relapsed small-cell lung cancer (SCLC). However, the efficacy of AMR in elderly patients with relapsed SCLC after chemotherapy by carboplatin plus etoposide (CE) has not been sufficiently evaluated.

Patients and Methods

The medical records of patients with relapsed SCLC who received AMR as second-line chemotherapy were retrospectively reviewed, and their treatment outcomes were evaluated.

Results

Forty-one patients with a median age of 76 years were analyzed. The overall response rate was 26.8%. Median progression-free survival (PFS) and overall survival (OS) were 3.5 and 8.1 months, respectively. While the median PFS of 4.7 and 2.8 months in the sensitive relapse and the refractory relapse group differed significantly (P=0.043), respectively, the median OS of 10.7 and 6.8 months in the respective relapse groups did not indicate a statistically significant difference (P=0.24). The median PFS in a group with a modified Glasgow prognostic score (mGPS) of 0 and a group with a mGPS 1 or 2 were 4.5 and 1.6 months (P=0.052), respectively, and the median OS in the respective mGPS groups were 10.7 and 4.4 months (P=0.034). Multivariate analysis identified good performance status, limited disease, and mGPS 0 as favorable independent predictors of PFS and OS of AMR monotherapy. Grade 3 or higher neutropenia was observed in 23 patients (56%), and febrile neutropenia was observed in nine patients (22%). Non-hematological toxic effects were relatively mild, and pneumonitis and treatment-related deaths were not observed.

Conclusion

AMR is an effective and feasible regimen for elderly patients with relapsed SCLC after CE therapy.

Lung immune prognostic index as a prognostic factor in patients with small cell lung cancer

Background

The lung immune prognostic index (LIPI) is a marker that combines the derived neutrophil‐to‐lymphocyte ratio (dNLR) and serum lactate dehydrogenase (LDH) level and is a recently reported prognostic factor of immune checkpoint inhibitor therapy for non‐small cell lung cancer (NSCLC). However, there are no reports regarding the prognostic value of LIPI in small cell lung cancer (SCLC).

Methods

We retrospectively enrolled 171 patients diagnosed with SCLC and treated at Shinshu University School of Medicine between January 2003 and November 2019. Progression‐free survival (PFS) and overall survival (OS) were compared according to LIPI, and we investigated whether LIPI could be a prognostic factor in SCLC using the Kaplan‐Meier method and univariate and multivariate Cox models.

Results

The median OS of the LIPI 0 group was significantly longer than that of the LIPI 1 plus 2 group (21.0 vs. 11.6 months, P < 0.001). The multivariate analysis associated with OS indicated that LIPI 1 plus 2 was an independent unfavorable prognostic factor in addition to poor performance status (2–3), old age (≥ 75 years) and stage (extensive disease [ED]). However, PFS of the LIPI 0 group was not significantly different from that of the LIPI 1 plus 2 group. In ED‐SCLC patients, the median PFS and OS of the LIPI 0 group were significantly longer than those of the LIPI 2 group (6.6 vs. 4.0 months, P = 0.006 and 17.1 vs. 5.9 months, P < 0.001, respectively).

Conclusions

We confirmed the prognostic value of LIPI in SCLC, especially ED‐SCLC.

Key points

Significant findings of the study: The present study is the first to demonstrate that pretreatment lung immune prognostic index is an independent prognostic factor associated with overall survival for small cell lung cancer.

What this study adds: The utility of the lung immune prognostic index as a prognostic factor for small cell lung cancer.