The Association of Clinical Outcomes with Posttreatment Changes in the Relative Eosinophil Counts and Neutrophil-to-Eosinophil Ratio in Patients with Advanced Urothelial Carcinoma Treated with Pembrolizumab

Neutrophil-to-Eosinophil Ratio Predicts the Efficacy of Avelumab in Patients With Advanced Urothelial Carcinoma Enrolled in the MALVA Study (Meet-URO 25)

BACKGROUND

Neutrophil-to-eosinophil ratio (NER) has been described to be associated with outcomes to immune checkpoint inhibitors (ICI) in several tumor types, but less is known about its role of in the response to avelumab in advanced urothelial cancer (aUC). Thus, we reported outcomes by NER of aUC patients treated with avelumab as maintenance after initial response to platinum-based chemotherapy and enrolled in the Maintenance with AVeLumAb ([MALVA] in advanced urothelial neoplasms in response to first-line chemotherapy: an observational retrospective study) study (Meet-URO 25).

PATIENTS AND METHODS

Median NER at baseline and after 3 cycles of avelumab were calculated. Progression-free survival (PFS) and overall survival (OS) by NER were reported.

RESULTS

At the cutoff date (April 15, 2023), a total of 109 patients were included. The median NER was 28.05 at baseline and 24.46 after 3 cycles of avelumab, respectively. Median PFS was not reached for patients with baseline NER less than the median (

CONCLUSION

NER Collapse

Key Words

• Biomarker
• Eosinophilia
• Predictive factors
• Prognostic factors

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MESH Headings

• Humans
• Antibodies, Monoclonal, Humanized/therapeutic use
• Male
• Female
• Aged
• Retrospective Studies
• Middle Aged
• Neutrophils
• Aged, 80 and over
• Urologic Neoplasms/drug therapy
• Urologic Neoplasms/pathology
• Prognosis
• Antineoplastic Agents, Immunological/therapeutic use
• Treatment Outcome
• Progression-Free Survival
• Carcinoma, Transitional Cell/drug therapy
• Carcinoma, Transitional Cell/pathology
• Adult

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Affiliation(s)

Elisabetta Gambale Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Careggi University Hospital, Clinical Oncology, Florence, Italy
Marco Maruzzo Oncology Unit 1, Istituto Oncologico Veneto, IOV - IRCCS, Padova, Italy
Carlo Messina Ospedale Arnas Civico, Clinical Oncology, Palermo, Italy
Irene De Gennaro Aquino Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Careggi University Hospital, Clinical Oncology, Florence, Italy
Ismaela Anna Vascotto Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Careggi University Hospital, Clinical Oncology, Florence, Italy
Virginia Rossi Careggi University Hospital, Clinical Oncology, Florence, Italy
Davide Bimbatti Oncology Unit 1, Istituto Oncologico Veneto, IOV - IRCCS, Padova, Italy
Nicolò Cavasin Oncology Unit 1, Istituto Oncologico Veneto, IOV - IRCCS, Padova, Italy
Marco Messina Ospedale Arnas Civico, Clinical Oncology, Palermo, Italy
Alessia Mennitto University Hospital Maggiore della Carità, Division of Oncology, Novara, Italy
Sara Elena Rebuzzi Ospedale San Paolo, Medical Oncology Unit, Savona, Italy; Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genoa, Genoa, Italy
Cecilia Nasso Medical Oncology, Ospedale Santa Corona, 17027 Pietra Ligure, Italy
Chiara Mercinelli Azienda Ospedaliero-Universitaria Pisana, Medical Oncology Unit 2, Pisa, Italy; Department of Medical Oncology, IRRCS San Raffaele Hospital, Milan, Italy
Brigida Anna Maiorano Department of Medical Oncology, IRRCS San Raffaele Hospital, Milan, Italy; Oncology Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo
Martina Fanelli University Hospital of Udine, Department of Oncology, Udine, Italy
Mariella Sorarù Ospedale di Camposampiero, U.O. Oncologia, Camposampiero, Italy
Federico Scolari Department of Biomedical, Experimental and Clinical Sciences, University of Florence, Florence, Italy
Marinella Micol Mela Careggi University Hospital, Clinical Oncology, Florence, Italy
Luca Galli Azienda Ospedaliero-Universitaria Pisana, Medical Oncology Unit 2, Pisa, Italy
Alessia Salfi Azienda Ospedaliero-Universitaria Pisana, Medical Oncology Unit 2, Pisa, Italy
Mimma Rizzo Oncologia Medica Universitaria Azienda Ospedaliera Universitaria Consorziale Policlinico di Bari piazza Giulio Cesare, 11, 70124 Bari
Silvia Puglisi IRCCS Ospedale Policlinico San Martino, Genoa, Italy
Valentina Orlando Department of Oncology, Ospedale Maggiore, Trieste, Italy
Giuseppe Fornarini IRCCS Ospedale Policlinico San Martino, Genoa, Italy
Alessandro Rametta Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, Milan, Italy
Patrizia Giannatempo Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, Milan, Italy
Linda Cerbone Department of Medical Oncology, San Camillo Forlanini Hospital, Rome, Italy
Laura Doni Careggi University Hospital, Clinical Oncology, Florence, Italy
Giandomenico Roviello Department of Health Sciences, Section of Clinical Pharmacology and Oncology, University of Florence, Viale Pieraccini, 6, 50139 Florence, Italy
Serena Pillozzi Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Careggi University Hospital, Clinical Oncology, Florence, Italy
Lorenzo Antonuzzo Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Careggi University Hospital, Clinical Oncology, Florence, Italy

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Machine Learning Model Based on the Neutrophil-to-Eosinophil Ratio Predicts the Recurrence of Hepatocellular Carcinoma After Surgery

Background

Circulating eosinophils are associated with tumor development. An eosinophil-related index, the neutrophil to eosinophil ratio (NER), can be used to predict the prognosis of patients with tumors. However, there is still a lack of efficient prognostic biomarkers for HCC. In this study, we aimed to investigate the predictive value of the NER and develop an optimal machine learning model for the recurrence of HCC patients. Patients and methods: A retrospective collection of 562 patients who underwent hepatectomy with a pathologic diagnosis of HCC was performed. The relationship between NER and progression-free survival (PFS) was investigated. We developed a new machine learning framework with 10 machine learning algorithms and their 101 combinations to select the best model for predicting recurrence after hepatectomy. The performance of the model was assessed by the area under the curve (AUC) of characteristics and calibration curves, and clinical utility was evaluated by decision curve analysis (DCA).

Results

Kaplan‒Meier curves showed that the PFS in the low NER group was significantly better than that in the high NER group. Multivariate Cox regression analysis showed that NER was an independent risk factor for recurrence after surgery. The random survival forests (RSF) model was selected as the best model that had good predictive efficacy and outperformed the TNM, BCLC, and CNLC staging systems.

Conclusion

The NER has good predictive value for postoperative recurrence in patients with hepatocellular carcinoma. Machine learning model based on NER can be used for accurate predictions.

Latest evidence on clinical outcomes and prognostic factors of advanced urothelial carcinoma in the era of immune checkpoint inhibitors: a narrative review

The management of advanced (locally advanced or metastatic) urothelial carcinoma has been revolutionized since pembrolizumab was introduced in 2017. Several prognostic factors for advanced urothelial carcinoma treated with pembrolizumab have been reported, including conventional parameters such as performance status and visceral (especially liver) metastasis, laboratory markers such as the neutrophil-to-lymphocyte ratio, sarcopenia, histological/genomic markers such as programmed cell death ligand 1 immunohistochemistry and tumor mutational burden, variant histology, immune-related adverse events, concomitant medications in relation to the gut microbiome, primary tumor site (bladder cancer versus upper tract urothelial carcinoma) and history/combination of radiotherapy. The survival time of advanced urothelial carcinoma has been significantly prolonged (or 'doubled' from 1 to 2 years) after the advent of pembrolizumab, which will be further improved with novel agents such as avelumab and enfortumab vedotin. This review summarizes the latest evidence on clinical outcomes and prognostic factors of advanced urothelial carcinoma in the contemporary era of immune checkpoint inhibitors.

An increased relative eosinophil count as a predictive dynamic biomarker in non-small cell lung cancer patients treated with immune checkpoint inhibitors

BACKGROUND

An increased relative eosinophil count (REC) has potential as a predictive biomarker for a beneficial clinical response and outcome to cancer immunotherapies. Therefore, the present study investigated the impact of an increased posttreatment REC on the prognosis of non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs).

METHODS

We retrospectively reviewed all 151 patients diagnosed with NSCLC and treated with ICI monotherapy and blood test data between March 2016 and August 2021 at National Hospital Organization Kochi Hospital and Tokushima University.

RESULTS

A total of 151 patients with a mean age of 69 years were included. REC after 4 weeks of initial ICI monotherapy was higher than pretreatment REC in 87 patients but not in 64. REC after 4 weeks of the ICI treatment with and without an increased REC were 4.4 and 1.8%, respectively (p < 0.001). Disease control rates (DCR) were significantly higher in patients with than in those without an increased REC (84% vs. 47%, p < 0.001). The median overall survival (OS) of lung cancer patients with or without an increased REC were 674 and 234 days, respectively. A Kaplan-Meier univariate analysis revealed a significant difference in OS between the two groups (p < 0.001). A Cox proportional regression analysis identified an increased REC as an independent predictor of OS (p = 0.003).

CONCLUSION

ICI-treated NSCLC patients with an increased REC after 4 weeks of treatment had a better DCR and prognosis than the other patients examined.

Which inflammatory marker, between systemic immune-inflammation index and neutrophil to eosinophil ratio, is associated with Peyronie's disease and are there any implications for a better understanding of its mechanisms?

BACKGROUND

Peyronie's disease affects up to 9% of men and is often accompanied by pain and/or erectile dysfunction. It is characterized by an inflammatory process that is the grassroots of the subsequent fibrosis stage. There is an unmet need to evaluate its onset and progression. Among the newly proposed biomarkers of inflammation, authors developed a novel systemic immune-inflammation index (SII) based on lymphocyte, neutrophil, and platelet counts. Similarly, a recent study reported that a neutrophil-to-eosinophil ratio (NER) represents systemic inflammation.

RESULTS

A 49-patient group with Peyronie's disease as confronted with 50 well-matched for age and BMI controls. As laboratory evaluation of inflammation, SII, NER and the eosinophil to neutrophil ratio (ENR) were studied. As a likely risk factor for the presence of Peyronie's disease, a higher prevalence of hypercholesterolemia, hyperglycemia and hypertension was discovered in the patients compared to controls. A significant difference was found in the median values of the NER between the two selected groups, i.e., 32.5 versus 17.3 (p = 0.0021). As expected, also ENR was significantly different. The receiver operating characteristic curves for SII, ENR and NER were 0.55, 0.32 and 0.67, respectively, highlighting the best performance of NER. The cut-off for NER was 12.1, according to the Youden test.

CONCLUSIONS

According to our results, any evaluation of circulating eosinophil, evaluated as NER, beyond being a signature of immuno-inflammatory response, help assess tissue homeostasis, since eosinophils are now considered multifunctional leukocytes and give a picture of the inflammatory process and repair process belonging to Peyronie's disease.

Eosinophil dynamics during chemo-radiotherapy correlate to clinical outcome in stage Ⅱ-Ⅳa nasopharyngeal carcinoma patients: Results from a large cohort study

BACKGROUND AND PURPOSE

We investigated the dynamics of eosinophil depletion during definitive concurrent chemo-radiotherapy (CCRT) and their association with the prognosis of stage Ⅱ-Ⅳa nasopharyngeal carcinoma (NPC) patients.

MATERIALS AND METHODS

Fuzzy C-means algorithm (FCMA) assessed longitudinal trends in circulating eosinophil counts (CECs) of 1225 patients throughout the period of radical radiotherapy. The prognostic impact on patients' survival was evaluated with Kaplan-Meier analysis and Cox proportional risk model was used to determine the hazard ratio for adverse prognostic effects in grades of eosinophil depletion. The interactive effect of pre-treatment CECs and CCRT on outcomes was evaluated using HRs within the framework of Cox regression models.

RESULTS

Three grades of eosinophil depletion, as defined by the interaction between dynamic types of CECs in the period of treatment and the value of CECs at the termination of treatment, significantly stratified the poor prognosis in terms of progression-free survival (PFS), overall survival (OS), and distant metastasis-free survival (DMFS) [1.57-fold (P = 0.001), 1.69-fold (P = 0.007), and 1.51-fold (P = 0.019) for G1, 2.4-fold (P < 0.001), 2.76-fold (P < 0.001), and 2.31-fold (P < 0.001) for G2, as compared with G0]. Furthermore, high levels of pre-treatment CECs acted as the strongest protective factor against severe depletion grade (G0 vs. G2, HR = 0.20, P = 0.005; G1 vs. G2, HR = 0.14, P < 0.001). However, compared with radiotherapy alone, the benefit from CCRT was attenuated in patients with high pre-treatment CECs.

CONCLUSIONS

CECs reduction after treatment in patients with NPC may be helpful in the clinical setting to aid in assessing the prognosis for standard treatment of NPC.

Real-world outcomes of pembrolizumab for platinum-refractory advanced urothelial carcinoma: Efficacy, safety, and evidence for trial-unfit patients

Pembrolizumab, monoclonal antibody targeting programmed cell death 1, is widely used for platinum-refractory urothelial carcinoma (UC) patients. Although the survival benefit of pembrolizumab was proven in the well-designed phase III trial, these data represent only a part of patients due to strictly defined eligibility criteria. The patients' characteristics in the clinical practice are much more heterogenous than those of trial participants. The real-world experience is useful to validate the trial result and find suitable candidates for the treatment. Similarly, real-world data plays a significant role in addressing the efficacy and safety of special populations, such as poor performance status or older patients. This review summarizes the real-world evidence on pembrolizumab for platinum-refractory UCs and discusses the clinical risk factors and efficacy for trial-ineligible patients.

Impact of Performance Status on Oncologic Outcomes in Patients with Advanced Urothelial Carcinoma Treated with Immune Checkpoint Inhibitor: A Systematic Review and Meta-analysis

CONTEXT

Immune checkpoint inhibitors (ICIs) are widely used in the management of patients with advanced urothelial carcinoma (aUC). However, its performance in aUC patients with poor performance status (PS) remains unknown.

OBJECTIVE

We aimed to assess the impact of patients' performance status on the oncologic outcomes in patients with aUC treated with ICIs.

EVIDENCE ACQUISITION

We searched PubMed, Web of Science, and Scopus from inception until July 2022 to identify studies assessing the association between the Eastern Cooperative Oncology Group (ECOG) PS and the oncologic outcomes in patients with aUC treated with ICIs in randomised (RCTs) and nonrandomised (NRCTs) control studies according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. The outcomes of our interests were overall survival (OS), cancer-specific survival (CSS), progression-free survival (PFS), and objective response rate (ORR).

EVIDENCE SYNTHESIS

Overall, six RCTs comprising 5428 patients and 32 NRCTs comprising 6069 patients were included. The meta-analysis of the RCTs revealed that patients with ECOG PS = 0 and PS ≥1 had a trend towards better OS with ICIs compared with those treated with chemotherapy (pooled hazard ratio [HR]: 0.86, 95% confidence interval [CI]: 0.71-1.04, and HR: 0.74, 95% CI: 0.53-1.03, respectively). There was no significant difference in terms of response to ICIs between patients with poor and good PS (I² = 0%, p = 0.46). The meta-analysis of the NRCTs revealed that patients with PS ≥2 had significantly worse OS than those with PS <2 (pooled HR: 2.52, 95% CI: 2.00-3.17), as well as worse CSS (pooled HR: 3.35, 95% CI: 1.90-5.91), PFS (pooled HR: 2.89, 95% CI: 1.67-5.01), and ORR (pooled odds ratio: 0.47, 95% CI: 0.27-0.82). Similarly, patients with PS ≥1 had significantly worse oncologic outcomes than those with PS = 0.

CONCLUSIONS

In the NRCTs, poor PS was correlated with worse oncologic outcomes in aUC patients treated with ICIs. In the RCTs, ICIs performed better than chemotherapy across all PS categories. These findings should be interpreted with caution due to the high heterogeneity across the studies and patient populations. More RCTs including poor PS are needed to assess the impact of PS on ICI therapy outcomes.

PATIENT SUMMARY

Immune therapy for patients with urothelial carcinoma should not be restricted on the grounds of performance status. However, patients with poor performance status should be considered for other factors such as life expectancy and comorbidities.

Association of Pretreatment Neutrophil-to-Eosinophil Ratio with Clinical Outcomes in Patients with Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma Treated with Nivolumab

BACKGROUND

There is a need to develop biomarkers for a more efficient use of immune checkpoint inhibitors (ICIs). Recently, it has been reported that peripheral blood components, including eosinophils, may be effective ICI biomarkers. This study was designed to evaluate the prognostic value of eosinophils for measuring the effects of nivolumab on recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC).

MATERIALS AND METHODS

The study included 47 patients with R/M HNSCC treated with nivolumab. Eosinophil-related biomarkers, such as absolute eosinophil count (AEC), relative eosinophil count (REC), and neutrophil-to-eosinophil ratio (NER), were measured from the peripheral blood of the patients before nivolumab treatment. For each biomarker, the patients were divided into a high- and a low-value group according to their cutoff values, and these groups were compared.

RESULTS

Regarding AEC and REC, no significant improvement in the objective response rate (ORR) was observed between patients with AEC >0.9 × 103/μL and those with AEC <0.9 × 103/μL (p = 0.147) and between patients with REC >2.2% and those with REC <2.2% (p = 0.110). However, patients with NER <32 had improved ORR compared with those with NER >32 (P = 0.0361). Additionally, although patients with AEC >0.9 × 103/μL, REC >2.2%, and NER <32 had longer overall survival (OS) than those with AEC <0.9 × 103/μL, REC <2.2%, and NER >32, only patients with NER <32 showed prolonged progression-free survival (PFS) compared with those with NER >32 according to the Log rank test (p = 0.046, 0.027, and 0.035, respectively). Furthermore, the multivariate analysis revealed that baseline NER >32 (p = 0.027) was an independent prognostic factor for worse OS.

CONCLUSION

A pretreatment feature of low NER (NER <32) may predict better clinical outcomes in patients with R/M HNSCC treated with nivolumab.

The Eosinophil Changes, Efficacy and Safety of Pembrolizumab in Advanced Urothelial Carcinoma Patients with an Older Age and a Poor Performance Status

Background

To evaluate the eosinophil changes, efficacy and safety of pembrolizumab treatment in advanced urothelial carcinoma patients of older age and those with a poor performance status (PS).

Materials and Methods

Consecutive patients with advanced UC who received pembrolizumab after the failure of platinum-based chemotherapy between January 2018 and June 2021 were retrospectively examined.

Results

105 patients (median age, 72 years), 71.4% of whom were men, were enrolled. Patients of ≥75 years of age were considered to be older patients (n=40), and patients with PS ≥2 were considered to have a poor PS (n=10). The objective response and disease control rates were 42.5% and 52.5%, respectively, in older patients and 0% and 10.0%, respectively, in patients with a poor PS. Overall survival (OS) in the older and younger groups did not differ to a statistically significant extent. However, a poor PS was significantly associated with poor survival. Safety analyses demonstrated no significant difference in the occurrence of any immune-related adverse events (irAEs), including grade ≥3, between the older and younger groups. However, a poor PS was significantly associated with the low occurrence of any irAEs. The change of the eosinophil count, the increase of the relative eosinophil count (REC) and the decrease of the neutrophil-to-eosinophil ratio (NER) did not differ to a statistically significant extent between the older and younger groups, but showed significant differences between the poor and good PS (PS 0–1) groups.

Conclusion

Pembrolizumab for advanced UC demonstrated similar changes in the eosinophil count, efficacy and toxicity in both older and younger patients. In patients with a poor PS, although toxicity was significantly lower, survival was significantly worse, and neither an increase in REC nor a decrease in NER were observed, but these values showed significant changes in patients with a good PS.

Eosinophil-lymphocyte interactions in the tumor microenvironment and cancer immunotherapy

Eosinophils are important effector cells and therapeutic targets in allergic diseases. Emerging data indicate that eosinophils infiltrate a variety of solid tumor types and have pleiotropic activities by at least two non-mutually exclusive mechanisms: direct interactions with tumor cells, and intricate cross-talk with lymphocytes. In light of the immune checkpoint inhibition revolution in cancer therapy, we review eosinophil-lymphocyte interactions in the tumor microenvironment. We also analyze potential interactions between eosinophils and lymphocyte subsets, including T cells, natural killer cells and innate lymphoid cells. We provide perspectives on the consequences of these interactions and how eosinophils are accessory cells that can affect the response to various forms of T cell-mediated immunotherapies and might be therapeutically targeted to improve cancer immunotherapy.

Association Between Immune-Related Adverse Events and Efficacy and Changes in the Relative Eosinophil Count Among Patients with Advanced Urothelial Carcinoma Treated by Pembrolizumab

Background

To evaluate the association between immune-related adverse events (irAEs) and the clinical outcomes and also between irAEs and the post-treatment changes in the relative eosinophil count (REC) in advanced urothelial carcinoma (UC) patients treated with pembrolizumab.

Materials and Methods

This retrospective study analyzed 105 advanced UC patients treated with pembrolizumab after disease progression on platinum-based chemotherapy between January 2018 and June 2021. The association between the occurrence of irAEs and the efficacy of pembrolizumab was investigated. The change in the REC from before the initiation of pembrolizumab therapy, to three weeks after treatment and the incidence of irAEs were determined.

Results

Overall irAEs were associated with a significantly higher objective response rate (ORR) (58.8% vs 25.4%, P<0.001), a longer progression-free survival (PFS) (25.1 months vs 3.1 months, P< 0.001) and overall survival (OS) (31.2 months vs 11.5 months, P< 0.001) compared to patients without irAEs; however, grade ≥3 irAEs were not associated with the ORR (36.4% vs 36.2%, P=0.989), PFS (9.5 vs 5.5 months, P=0.249), or OS (not reached vs 13.7 months, P=0.335). Compared to a decreased REC at 3 weeks after pembrolizumab, an increased relative REC at 3 weeks was not associated with the incidence of any-grade irAEs (32.3% vs 32.5%, P=0.984) or of grade ≥3 irAEs (10.8% vs 10.0%, P=0.900). Multivariate analyses revealed a female sex (P=0.005), Eastern Cooperative Oncology Group Performance Status ≥1 (P=0.024), albumin <3.7 g/dl (P<0.001), decreased REC (3 weeks later) (P<0.001), and the absence of irAEs of any grade (P=0.002) to be independently associated with a worse OS.

Conclusion

Patients with irAEs showed a significantly better survival compared to patients without irAEs in advanced UC treated with pembrolizumab. An increased posttreatment REC may be a marker predicting improved clinical outcomes and it had no significant relationship with the incidence of irAEs.