To investigate potential predictive factors and assess the utility of systemic inflammatory and nutritional indexes as prognostic indicators for survival in patients with FIGO stage III-IVA squamous cervical cancer (squamous HR-LACC) treated with concurrent chemoradiotherapy.

We included consecutive patients with PET-CT diagnosed squamous HR-LACC undergoing curative chemoradiotherapy from November 2016 to April 2024. We systematically reviewed data pertaining to pretreatment clinicopathologic characteristics, hematological parameters, and treatment specifics. A range of composite inflammatory and nutritional indices were calculated, including the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammation index, systemic inflammation response index, pan-immune-inflammation value, and prognostic nutritional index (PNI). X-Tile software was utilized to establish optimal cut-off values based on progression-free survival (PFS). Both univariate and multivariate Cox regression analyses were conducted to identify factors associated with PFS and overall survival (OS).

Among 157 patients (median age 55) included, 136 had lymph node involvement, and 45 had para-aortic metastasis. After a median follow-up of 35 months, 47 patients had disease progression, and 22 died, yielding 3-year PFS and OS rates of 66.2% and 82.0%, respectively. Multivariate analysis revealed that low SCC-Ag (HR: 1.518, 95% CI: 1.067-2.159, p = 0.020), para-aortic lymph node involvement (HR: 1.864, 95% CI: 1.020-3.408, p = 0.043), and low PNI (HR: 1.477, 95% CI: 1.105-1.975, p = 0.009) were independently associated with worse PFS, whereas low PNI emerged as the sole independent risk factor for diminished OS (HR = 1.525, 95% CI: 1.002-2.323, p = 0.049).

PNI, a readily obtainable metric based on albumin and lymphocyte count, can serve as a predictor of survival in HR-LACC patients undergoing concurrent chemoradiotherapy. Further research is necessary to ascertain whether optimizing pretreatment nutritional status, a modifiable factor, can enhance outcomes in these high-risk patients.

Biliary tract cancer (BTC) is a rare, aggressive malignancy with increasing incidence and poor prognosis. Identifying preoperative prognostic factors is crucial for effective risk-benefit assessments and patient stratification. The prognostic nutritional index (PNI), which reflects immune-inflammatory and nutritional status, has shown prognostic value in various cancers, but its significance in BTC remains unclear.

To assess the prognostic value of the preoperative PNI in BTC patients, with a focus on overall survival (OS) and disease-free survival (DFS).

Comprehensive searches were conducted in the PubMed, EMBASE, and Web of Science databases from inception to April 2024. The primary outcomes of interest focused on the associations between the preoperative PNI and the prognosis of BTC patients, specifically OS and disease-free survival (DFS). Statistical analyses were conducted via STATA 17.0 software.

Seventeen studies encompassing 4645 patients met the inclusion criteria. Meta-analysis revealed that a low PNI was significantly associated with poorer OS [hazard ratio (HR) 1.91, 95%CI: 1.59-2.29; P < 0.001] and DFS (HR 1.93, 95%CI: 1.39-2.67; P < 0.001). Subgroup analyses revealed consistent results across BTC subtypes (cholangiocarcinoma and gallbladder cancer) and stages (resectable and advanced). Sensitivity analyses confirmed the robustness of these findings, and no significant publication bias was detected.

This study demonstrated that a low preoperative PNI predicts poor OS and DFS in BTC patients, highlighting its potential as a valuable prognostic tool. Further prospective studies are needed to validate these findings and enhance BTC patient management.

Immune-based combinations are the cornerstone of the first-line treatment of metastatic renal cell carcinoma patients, leading to outstanding outcomes. Nevertheless, primary resistance and disease progression is a critical clinical challenge. To properly address this issue, it is pivotal to understand the mechanisms of resistance to immunotherapy and tyrosine kinase inhibitors, that tumor eventually develop under treatment. In this review of the literature, we aim at exploring resistance mechanisms arising in patients treated with first-line immune-based combinations in order to understand the biological pattern that should be investigated to overcome them. In more detail, mechanisms of resistance to nivolumab and pembrolizumab are divided into intrinsic to cancer cells and extrinsic (stromal or immune cells). Regarding axitinib, the increased expression of Nuclear protein 1 (NUPR1) or decreased levels of insulin receptor (INSR) characterize resistant cells. The secretion of non-VEGF pro-angiogenic factors, such as PDGF-BB, IL-1β, MMP-9, Gro-α, IL-8, IL-6, and CCL-2, can lead to resistance to cabozantinib. The reactivation of pathways previously targeted by lenvatinib or the activation of alternative pathways, such as EGFR-PAK2-ERK pathway, underlie the development of resistance to lenvatinib. Exploring resistance mechanism that arise during first-line therapy can lead to the development of treatment strategy able to overcome them in order to improve duration of response and patients outcomes.

We aim to identify risk factors that predict refractory convulsive status epilepticus (RCSE) and to develop a model for early recognition of patients at high risk for RCSE.

This study involved 200 patients diagnosed with convulsive status epilepticus (CSE), of whom 73 were RCSE and 127 were non-RCSE. Variables included demographic information, lifestyle factors, medical history, comorbidities, clinical symptoms, neuroimaging characteristics, laboratory tests, and nutritional scores. A predictive model was developed through multivariable logistic regression analysis. The model's predictive performance and clinical utility were evaluated using various metrics, including the area under the receiver operating characteristic (AUROC) curve, GiViTI calibration belt, and decision curve analysis (DCA). Additionally, we performed internal five-fold cross-validation for this model.

We developed a nomogram model with six predictors: age ≤ 40 years, prior history of epilepsy, presence of epileptic foci, duration of CSE > 30 min, c-reactive protein > 6 mg/L, and nutritional risk screening ≥ 3 points. Our model has a high AUROC (0.838) and good consistency (P = 0.999). In DCA, the curve of our model exhibits a positive net benefit across the entire range of threshold probabilities. Moreover, our model achieved an accuracy of 0.778 and a Kappa value of 0.519 in the five-fold cross-validation.

We developed an objective, simple and accessible model to assess the risk of RCSE. This model shows promise as a valuable tool for evaluating the individual risk of RCSE.

A variety of pathophysiological mechanisms exist by which physical exercise, nutrition, and the microbiome can impact the development of cancer and the response of tumor cells to systemic anti-cancer therapy. Physical exercise positively impacts the different stages of oncological disease and may improve overall survival and quality of life, reduce treatment-associated toxicity, and improve response to immunotherapy. Nutrition impacts quality of life, and novel nutritional regimens and their role in cancer treatment and outcomes are under active investigation. Finally, the microbiome may act as a predictor of response and resistance to immunotherapy. This comprehensive review delves into the interplay between these elements and their impact on oncological outcomes, emphasizing their role in modulating the immune system and enhancing the response to immunotherapy.The data that support the findings of this study are openly available and referenced in the bibliography section.

To validate the clinical impacts of the prognostic nutritional index (PNI), an immune-nutritional blood marker, in patients with resectable non-small cell lung cancer (NSCLC) using multicenter cohort data.

The subjects of this retrospective multicenter study, involving 11 hospitals, were patients who underwent curative lung resection for pathological stage IA-IIIA NSCLC. We analyzed the relationship between the preoperative PNI and postoperative outcomes. Patients were divided into a high PNI group and a low PNI group (cutoff: 45). We also performed exact matching and three propensity score-based methods to validate the results.

Among the total 2,770 patients, 2,272 (82.0%) had a high PNI (>45) and 498 (18.0%) had a low PNI (≤45). A low preoperative PNI was a predictor of increased overall postoperative complications (relative risk 1.49; 95% confidence interval (CI) 1.31-1.69) and an independent adverse prognostic factor for overall survival (hazard ratio 1.77; 95% CI 1.45-2.17) and recurrence-free survival (1.34; 95% CI 1.14-1.59). All the methods we used (whole cohort, exact matching, and three propensity score methods) showed consistent results.

The findings of this multicenter study suggest that immune-nutritional assessment using the PNI will provide useful prognostic information for patients with resectable NSCLC.

The importance of evaluating the nutritional status and immune condition prior to surgery has gained significant attention in predicting the prognosis of cancer patients in recent years. The objective of this study is to establish a risk model for predicting the prognosis of gallbladder carcinoma (GBC) patients. Data from GBC patients who underwent radical resection at West China Hospital of Sichuan University (China) from 2014 to 2021 were retrospectively collected. A novel risk model was created by incorporating the prognostic nutritional index and glucose-to-lymphocyte ratio, and each patient was assigned a risk score. The patients were then divided into low- and high-risk cohorts, and comparisons were made between the two groups in terms of clinicopathological features and prognosis. Propensity score matching was conducted to reduce potential bias. A total of 300 GBC patients receiving radical surgery were identified and included in this study. Patients in the high-risk group were older, had higher levels of serum carcinoembryonic antigen (CEA), cancer antigen 125 (CA125), and cancer antigen 19-9 (CA19-9), were more likely to experience postoperative complications, and had more aggressive tumor characteristics, such as poor differentiation, lymph node metastasis, and advanced tumor stage. They also had lower overall survival (OS) rates (5-year OS rate: 11.2% vs. 37.4%) and disease-free survival (DFS) rates (5-year DFS rate: 5.1% vs. 18.2%). After propensity score matching, the high-risk population still experienced poorer prognosis (5-year OS rate: 12.7% vs 20.5%; 5-year DFS rate: 3.2% vs 8.2%). The risk model combining prognostic nutritional index and glucose-to-lymphocyte ratio can serve as a standalone predictor for the prognosis and assist in optimizing the treatment approach for GBC patients.

Microsatellite instability high (MSI-H) and/or mismatch repair deficient (dMMR) status is the strongest predictive factor for immune checkpoint inhibitors (ICIs) benefit in patients with metastatic gastroesophageal cancer (mGC). Primary resistance to ICIs is a relevant issue, but prognostic and predictive factors are lacking.

In this multinational, retrospective cohort of patients with MSI-H/dMMR mGC treated with ICIs without chemotherapy we collected baseline laboratory values to establish the prognostic nutritional index (PNI). We evaluated the association between baseline PNI with the activity and efficacy of ICIs.

At a median follow-up of 31.6 months, median progression-free survival (PFS) and 2-year PFS rate were not reached and 73.6 % in the PNI-high subgroup versus 6.3 months and 38.3 % in the PNI-low one (HR 0.32, 95 % CI: 0.16-0.61, p < .001). Median overall survival (OS) and 2-year OS rate were not reached and 81.9 % in the PNI-high subgroup versus 24.4 months and 50.5 % in the PNI-low one (HR 0.26, 95 % CI: 0.12-0.56, p < .001). In multivariable models, high PNI was associated with longer PFS and OS (HR 0.30, 95 % CI: 0.15-0.61, p <0.001 and 0.37, 95 % CI: 0.15-0.91, p = .031).

High PNI is associated with longer PFS and OS, in patients with MSI-H mGC receiving ICIs. Patients with low baseline PNI may benefit from intensive therapeutic approaches.

The need for predictive factors regarding the response to immune checkpoint inhibitors (ICIs) is increasing. Recent research indicates that an enhanced response to ICIs is associated with a higher body mass index (BMI). This study aims to evaluate the relationship between response to ICIs and BMI in solid tumors.

We retrospectively analyzed patients with advanced cancer treated with ICIs at one academic center. We compared the treatment responses of patients classified as underweight/normal weight (BMI <25) and overweight/obese (BMI ⩾ 25) according to their BMI at the initiation of ICI treatment. After excluding underweight patients, we also compared the progression-free survival (PFS) and overall survival (OS) of normal-weight, overweight, and obese patients.

Overall, 113 patients were evaluated. Forty-seven (41.6%) patients had BMI <25 and 66 (58.4%) patients had a BMI ⩾ 25. In underweight/normal patients, median PFS was 7.7 months (95% CI: 4.7-10.6) while it was 8.0 months (95% CI: 4.1-11.9) in overweight/obese patients (HR 1.16, 95% CI: (0.76-1.75), p=0.477). In underweight/normal patients, the median OS was 21.7 months (95% CI: 11.6-31.7) compared to 18.7 months (95% CI: 12.7-24.6) in overweight/obese patients (HR 1.06, 95% CI: (0.69-1.64), p=0.774). The objective response rate (ORR) was 38.3% in underweight/normal patients and 34.8% in overweight/obese patients (p = 0.707). After excluding underweight patients, there were also no significant differences in PFS (p = 0.914), OS (p = 0.642), and ORR (p = 0.909) between patients of normal weight, overweight, and obesity.

Our research found no correlation between BMI and response to ICIs. Additional prospective studies are necessary to assess the effect of BMI on the response to ICIs.

The prognostic value of nutritional status in anaplastic thyroid carcinoma (ATC) remains unclear. The Prognostic Nutritional Index (PNI) is a reliable indicator of overall nutritional and immune status, and it has emerged as a significant prognostic factor in various malignancies. This study aimed to explore the utility of PNI in ATC.

We systematically reviewed ATC patients in our institute from January 2000 to June 2023 and categorized them into high and low PNI groups based on the median PNI value. Kaplan-Meier analysis and Cox regression were employed to assess the impact of PNI on overall survival, while ROC curve analysis evaluated the predictive value of PNI. Mimics software was used for three-dimensional reconstruction of pre- and post-immunotherapy tumor volumes, enabling the assessment of treatment response.

A total of 77 ATC patients were included in this study. Low baseline PNI was associated with significantly shorter overall survival (1-year survival rate: 5.26% vs 30.77%; median survival time: 5.30 months vs 8.87 months). The 1-year, 2-year, and 3-year AUC values for PNI were 0.82, 0.79, and 0.77, respectively. In the multivariate analysis, both PNI and tumor size emerged as independent prognostic factors for patient overall survival. Among ATC patients receiving 2-3 cycles of immunotherapy, an increase in post-treatment PNI levels was positively correlated with a reduction in tumor volume.

PNI is an independent predictor of overall survival and holds the potential to serve as a valuable indicator for assessing and predicting immunotherapy efficacy in ATC patients.

Established biomarkers for predicting chemoradiotherapy efficacy for limited-disease small cell lung cancer (LD-SCLC) are lacking. The inflammation-based Glasgow Prognostic Score (GPS), comprising serum C-reactive protein (CRP) and albumin levels, can predict survival in advanced cancer. This study investigated whether metabolic and inflammatory markers, including the GPS, can predict the efficacy of chemoradiotherapy in patients with LD-SCLC.

We retrospectively analyzed 124 patients who underwent chemoradiotherapy for LD-SCLC at two institutions between April 2007 and June 2021, and assessed the prognostic significance of various metabolic and inflammatory markers. The GPS was calculated using the CRP and albumin concentrations, and categorized as follows: 0, CRP <1.0 mg/dL and albumin ≥3.5 mg/dL; 1, elevated CRP or decreased albumin; and 2, CRP ≥1.0 mg/dL and albumin<3.5 mg/dL. Differences in progression-free survival (PFS) and overall survival (OS) were examined using Kaplan-Meier curves and Cox proportional-hazard models.

The overall response rate was 95.1% (95% confidence interval [CI]: 89.6-97.9%). The median PFS and OS from chemoradiotherapy initiation were 12.6 (95% CI: 9.9-15.4) and 29.0 (95% CI: 24.8-45.5) months, respectively. The GPS demonstrated independent predictive ability for the effectiveness of chemoradiotherapy, wherein favorable scores (GPS 0-1) were significantly correlated with superior PFS and OS compared to unfavorable scores (GPS 2: PFS: 14.8 vs. 6.7 months, p = 0.0001; OS: 35.4 vs. 11.0 months, p < 0.0001).

This preliminary examination revealed that the GPS was significantly associated with PFS and OS in patients undergoing chemoradiotherapy for LD-SCLC, indicating its potential utility in assessing the therapeutic outcomes in LD-SCLC.

Pretreatment biomarkers are needed to identify patients with non-small-cell lung cancer (NSCLC) likely to have worse survival. This ensures that only patients with a real chance of benefit receive immune checkpoint inhibitor (ICI) treatment. In this study, we examined the associations of baseline nutritional and inflammatory biomarkers with overall survival in a real-world cohort of NSCLC patients who received ICIs.

We used prospectively collected data from the OncoLifeS data biobank. The cohort included 500 advanced-stage NSCLC patients treated with ICIs from May 2015 to June 2021. Biomarkers were evaluated within 2 weeks before ICI treatment: neutrophil-to-lymphocyte ratio, C-reactive protein (CRP), Glasgow prognostic score, CRP/albumin ratio (CAR), prognostic nutritional index (PNI), and advanced lung cancer inflammation index. For each biomarker, low- and high-risk groups were defined using literature-based cut-offs. Adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) were estimated using adjusted survival analysis.

Most patients were male (60.8%), the mean baseline age was 65 ± 9 years, and 88% had stage IV disease. For each biomarker, low-risk patients had better overall survival (all, p < 0.001), with CAR and PNI showing the strongest associations. In multivariable analyses a combined CAR/PNI risk score had a stronger association with overall survival (aHR 3.09, 95% CI 2.36-4.06) than CAR alone (aHR 2.22, 95% CI 1.79-2.76) or PNI alone (aHR 2.09, 95% CI 1.66-2.61).

These results highlight the potential value of nutritional and inflammatory biomarkers, in particular CAR and PNI, in identifying NSCLC patients with highest mortality risk before starting ICI treatment.

Immune checkpoint inhibitors (ICIs) have reshaped the treatment landscape of small cell lung cancer (SCLC), but only a minority of patients benefit from this therapy. Therefore, it is critical to identify potential risk factors that could predict the efficacy of ICI treatment in SCLC patients and identify patient subgroups who may benefit the most from ICI therapy.

Our study included a total of 183 SCLC patients who had received at least one dose of ICI treatment. We utilized both logistic regression and Cox proportional hazard regression to evaluate whether various patient clinical factors and serum biomarkers could serve as predictors of patient response to treatment and overall survival (OS) during ICI therapy.

Logistic regression showed that patients with a history of surgery (p=0.003, OR 9.06, 95% CI: (2.17, 37.9)) and no metastasis (p=0.008, OR 7.82, 95% CI: (1.73, 35.4)) exhibited a higher odds of response to ICI treatment. Cox regression analyses demonstrated that pretreatment blood albumin (p=0.003, HR 1.72, 95% CI: (1.21, 2.45)) and derived neutrophil to lymphocyte ratio (dNLR) (p=0.003, HR 1.71, 95% CI: (1.20-2.44)) were independent predictors for OS in SCLC patients. By establishing a pre-treatment prognostic scoring system based on baseline albumin and dNLR, we found that patients with high albumin and low dNLR exhibited a significantly better prognosis than those with low albumin and high dNLR in both the full (P<.0001, HR 0.33, 95% CI: 0.20-0.55) and the metastatic cohort (P<.0001, HR 0.28, 95% CI: 0.15-0.51). The better prognostic group also had younger age, higher BMI and lower systemic inflammatory biomarker values than the unfavorable group (P<.0001).

Our data reveals the significant role of metastasis status and treatment history in predicting the initial response of SCLC patients to ICI treatment. However, baseline serum albumin and dNLR provide a more precise prognostic prediction for patient OS. The scoring system based on albumin and dNLR enhances the ability to stratify patient prognosis and holds the potential to guide clinical decision-making for SCLC patients undergoing ICI therapy.

The introduction of immune checkpoint inhibitors (ICIs) has revolutionized the treatment of lung cancer. Given the limited clinical benefits of immunotherapy in patients with non-small cell lung cancer (NSCLC), various predictors have been shown to significantly influence prognosis. However, no single predictor is adequate to forecast patients' survival benefit. Therefore, it's imperative to develop a prognostic model that integrates multiple predictors. This model would be instrumental in identifying patients who might benefit from ICIs. Retrospective analysis and small case series have demonstrated the potential role of these models in prognostic prediction, though further prospective investigation is required to evaluate more rigorously their application in these contexts. This article presents and summarizes the latest research advancements on immunotherapy prognostic models for NSCLC from multiple omics perspectives and discuss emerging strategies being developed to enhance the domain.

Immune checkpoint inhibitors (ICI) have revolutionized the treatment of gastric cancer (GC), which still represents the third leading cause of cancer-related death in Western countries. However, ICI treatment outcomes vary between individuals and need to be optimized. Recent studies have shown that gut microbiota could represent a key influencer of immunotherapy responses. At the same time, the nutritional status and diet of GC patients are also predictive of immunotherapy treatment response and survival outcomes. The objective of this narrative review is to gather recent findings about the complex relationships between the oral, gastric, and gut bacterial communities, dietary factors/nutritional parameters, and immunotherapy responses. Perigastric/gut microbiota compositions/functions and their metabolites could be predictive of response to immunotherapy in GC patients and even overall survival. At the same time, the strong influence of diet on the composition of the microbiota could have consequences on immunotherapy responses through the impact of muscle mass in GC patients during immunotherapy. Future studies are needed to define more precisely the dietary factors, such as adequate daily intake of prebiotics, that could counteract the dysbiosis of the GC microbiota and the impaired nutritional status, improving the clinical outcomes of GC patients during immunotherapy.

Currently, there is a lack of well-established markers to predict the efficacy of chemoimmunotherapy in small-cell lung cancer (SCLC). Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), advanced lung cancer inflammation index (ALI) and prognostic nutritional index (PNI) are associated with prognosis in several tumors, whereas their predictive role in SCLC remains unclear.

A retrospective study was conducted at Sun Yat-sen University Cancer Center, involving extensive-stage SCLC (ES-SCLC) patients who received first-line chemoimmunotherapy between January 2020 and December 2021. Peripheral blood biomarkers were extracted from medical records and their correlation with prognosis and immune-related adverse events (IRAEs) was analyzed.

A total of 114 patients were included. Patients with a low PLR, high ALI and high PNI had prolonged progression-free survival (PFS) compared to those with a high PLR, low ALI and low PNI. Patients with a low NLR, low PLR, high ALI and high PNI had prolonged overall survival (OS) compared to those with a high NLR, high PLR, low ALI and low PNI. Cox regression model showed that PNI was an independent risk factor for both PFS and OS. ROC curve showed that PNI outperforms NLR, PLR and ALI in predicting both PFS and OS. The PNI-based nomogram demonstrated strong predictive capability for both PFS and OS. In addition, there was a significant correlation between PNI and IRAEs.

A high baseline PNI might be associated with improved prognosis and the occurrence of IRAEs in ES-SCLC patients treated with first-line chemoimmunotherapy.

Pembrolizumab monotherapy for non-small-cell lung cancer (NSCLC) expressing PD-L1 ≥ 50% doubles five-year survival rates compared to chemotherapy. However, immune-related adverse events (irAEs) can cause severe, long-term toxicity necessitating high-dose steroids and/or treatment cessation. Interestingly, patients experiencing irAEs demonstrate better survival outcomes. Biomarkers of systemic inflammation, including the Scottish Inflammatory Prognostic Score (SIPS), also predict survival in this patient group. This study examines the relationship between inflammatory status, irAEs, and survival outcomes in NSCLC.

A retrospective analysis was conducted on patients with NSCLC expressing PD-L1 ≥ 50% receiving first-line pembrolizumab monotherapy at a large cancer centre in Scotland. Regression analyses were conducted to examine the relationship between SIPS, irAEs, and survival.

83/262 eligible patients (32%) experienced an irAE. Dermatological, endocrine, gastrointestinal, and hepatic, but not pulmonary, irAEs were associated with prolonged PFS and OS (p <= 0.011). Mild irAEs were associated with better PFS and OS in all patients, including on time-dependent analyses (HR0.61 [95% CI 0.41-0.90], p = 0.014 and HR0.41 [95% CI 0.26-0.63], p < 0.001, respectively). SIPS predicted PFS (HR 1.60 [95% CI 1.34-1.90], p < 0.001) and OS (HR 1.69 [95% CI 1.41-2.02], p < 0.001). SIPS predicted the occurrence of any irAE in all patients (p = 0.011), but not on 24-week landmark analyses (p = 0.174). The occurrence of irAEs predicted favourable outcomes regardless of the baseline inflammatory status (p = 0.015).

The occurrence of certain irAEs is associated with a survival benefit in patients with NSCLC expressing PD-L1 ≥ 50% receiving pembrolizumab. We find that the association between low levels of systemic inflammation and the risk of irAEs is confounded by their independent prognostic value.

Pembrolizumab (Pemb) therapy in conjunction with carboplatin and paclitaxel (PTX)/nab-PTX has been efficacious in treating non-small cell lung cancer (NSCLC). However, the response predictors of this combination therapy (Pemb-combination) remain undetermined. We aimed to evaluate whether Glasgow prognostic score (GPS), neutrophil-to-lymphocyte ratio (NLR), body mass index (BMI), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index (PNI) are potential factors in prognosticating the response to Pemb-combination therapy in advanced NSCLC patients.

We retrospectively recruited 144 NSCLC patients receiving first-line treatment with Pemb-combination therapy from 13 institutions between December 1, 2018, and December 31, 2020. GPS, NLR, BMI, PLR, and PNI were assessed for their efficacy as prognostic indicators. Cox proportional hazard models and the Kaplan-Meier method were used to compare the progression-free survival (PFS) and overall survival (OS) of the patients.

The treatment exhibited a response rate of 63.1% (95% confidence interval [CI]: 55.0-70.6%). Following Pemb-combination administration, the median PFS and OS were 7.3 (95% CI: 5.3-9.4) and 16.5 (95% CI: 13.9-22.1) months, respectively. Contrary to PNI, NLR, GPS, BMI, and PLR did not display substantially different PFS in univariate analysis. However, multivariate analysis did not identify PNI as an independent prognostic factor for PFS. Furthermore, univariate analysis revealed that GPS, BMI, and PLR exhibited similar values for OS but not NLR and PNI. Patients with PNI ≥45 were predicted to have better OS than those with PNI <45 (OS: 23.4 and 13.9 months, respectively, p = 0.0028). Multivariate analysis did not establish NLR as an independent prognostic factor for OS.

The PNI evidently predicted OS in NSCLC patients treated with Pemb-combination as first-line therapy, thereby validating its efficiency as a prognostic indicator of NSCLC.

Elevated platelet lymphocyte ratio (PLR) and low body mass index (BMI) are associated with inferior survival in non-small cell lung cancer (NSCLC) patients receiving immunotherapy (IO). We evaluated real-world prognostic utility of PLR, BMI, and albumin level in stage IV NSCLC patients receiving first line (1L) IO.

We identified 75 stage IV patients who received 1L IO therapy at USC Norris Comprehensive Cancer Center and Los Angeles General Medical Center from 2015 to 2022. The primary outcome was overall survival (OS) from time of IO with attention to pre-treatment BMI < 22, albumin < 3.5 g/dL, and PLR > 180.

Median age was 66.5 years with 49 (65.3%) males. 25 (33.3%) had BMI < 22. 45/75 (60%) had PLR > 180. Patients with BMI < 22 had inferior OS (13.1 months (m) vs. 37.4 m in BMI > 28, p-value = 0.042) along with patients with albumin<3.5 g/dL (OS: 2.8 m vs. 14.6 m, p-value = 0.0027), and patients with PLR>180 (OS: 8.7 m vs. 23.0 m, p = 0.028). Composite BMI < 22, PLR > 180 had the worst OS, p-value = 0.0331. Multivariate analysis controlling for age, smoking, gender, PD-L1 tumor proportion score (TPS), and histology (adenocarcinoma, squamous, adenosquamous, and large cell) showed that BMI (HR: 0.8726, 95% CI: 0.7892-0.954) and PLR > 180 (HR: 2.48, 95% CI: 1.076-6.055) were significant in OS mortality risk.

Patients with a composite of BMI < 22, albumin < 3.5 g/dL, and PLR > 180 had significantly worse OS. This highlights the importance of screening for poor nutritional status and high PLR to better inform stage IV NSCLC patients receiving IO therapy of their prognosis and supportive care.

We evaluated real-world prognostic utility of platelet lymphocyte ratio (PLR), body mass index (BMI), and albumin level in 75 Stage IV NSCLC patients receiving first line IO. Patients with a composite of BMI < 22, albumin < 3.5 g/dL, and PLR > 180 had significantly worse OS. This highlights the importance of screening for poor nutritional status and high PLR to better inform stage IV NSCLC patients of their prognosis and to emphasize supportive care needs.

We aimed to investigate the predictive value of a systematic serum inflammation index, pan-immune-inflammatory value (PIV), in pathological complete response (pCR) of patients treated with neoadjuvant immunotherapy to further promote ideal patients' selection.

The clinicopathological and baseline laboratory information of 128 NSCLC patients receiving neoadjuvant immunochemotherapy between October 2019 and April 2022 were retrospectively reviewed. We performed least absolute shrinkage and selection operator (LASSO) algorithm to screen candidate serum biomarkers for predicting pCR, which further entered the multivariate logistic regression model to determine final biomarkers. Accordingly, a diagnostic model for predicting individual pCR was established. Kaplan-Meier method was utilized to estimate curves of disease-free survival (DFS), and the Log rank test was analyzed to compare DFS differences between patients with and without pCR.

Patients with NSCLC heterogeneously responded to neoadjuvant immunotherapy, and those with pCR had a significant longer DFS than patients without pCR. Through LASSO and the multivariate logistic regression model, PIV was identified as a predictor for predicting pCR of patients. Subsequently, a diagnostic model integrating with PIV, differentiated degree and histological type was constructed to predict pCR, which presented a satisfactory predictive power (AUC, 0.736), significant agreement between actual and our nomogram-predicted pathological response.

Baseline PIV was an independent predictor of pCR for NSCLC patients receiving neoadjuvant immunochemotherapy. A significantly longer DFS was achieved in patients with pCR rather than those without pCR; thus, the PIV-based diagnostic model might serve as a practical tool to identify ideal patients for neoadjuvant immunotherapeutic guidance.

The gut microbiome is emerging as an important predictor of response to immune checkpoint inhibitor (ICI) therapy for patients with cancer. However, several nutrition-related patient characteristics, which are themselves associated with changes in gut microbiome, are also prognostic markers for ICI treatment response and survival. Thus, increased abundance of Akkermansia muciniphila, Phascolarctobacterium, Bifidobacterium and Rothia in stool are consistently associated with better response to ICI treatment. A. muciniphila is also more abundant in stool in patients with higher muscle mass, and muscle mass is a strong positive prognostic marker in cancer, including after ICI treatment. This review explores the complex inter-relations between the gut microbiome, diet and patient nutritional status and the correlations with response to ICI treatment. Different multivariate approaches, including archetypal analysis, are discussed to help identify the combinations of features which may select patients most likely to respond to ICI treatment.

Prognostic nutritional index (PNI) has been identified as a reliable prognostic factor for cancer adjuvant therapy. However, its prognostic value in lung cancer patients receiving immune checkpoint inhibitors (ICIs) remains inconclusive.

A systematic literature review and meta-analysis was performed based on online databases before March 1th 2023. The correlation of PNI with overall survival (OS) or progression-free survival (PFS) was determined using the hazard ratios (HRs) coupled with 95% confidence intervals (CIs). Then, a retrospective cohort enrolling 123 ICI-treated lung cancer patients from two hospitals was utilized for validation and further investigation.

A total of 14 studies enrolling 1,260 lung cancer patients were included in the meta-analysis. The high PNI level was significantly correlated with better OS (HR = 2.56, 95% CI = 1.86-3.54) and PFS (HR = 1.91, 95% CI = 1.53-2.40) of the lung cancer patients. The subgroup analysis confirmed the results except for the PFS in patients receiving anti-PD-1 therapy (HR = 1.51, 95% CI = 0.86-2.65). In the retrospective study, the high PNI level was identified as a favorable factor for OS and PFS not only in the whole cohort but also in the subgroups stratified by non-small cell lung cancer and small cell lung cancer. The high PNI was also correlated with better anti-cancer therapy response and performed better than body mass index and serum albumin level in OS prediction. Finally, we established a novel prognostic nomogram based on PNI and other clinical parameters. The nomogram was found to perform well in predicting the 1-year OS of ICI-treated lung cancer patients.

Both the meta-analysis and retrospective work demonstrate the PNI is a reliable prognostic factor for advanced lung cancer patients receiving ICI-based therapies. Our study further highlights the crucial role of nutrition assessment and intervention in cancer immunotherapy.

https://www.crd.york.ac.uk/prospero/, identifier: CRD42023424146.

Cancer immunotherapy, largely represented by immune checkpoint inhibitors (ICI), has led to substantial changes in preclinical cancer research and clinical oncology practice over the past decade. However, the efficacy and toxicity profiles of ICIs remain highly variable among patients, with only a fraction achieving a significant benefit. New combination therapeutic strategies are being investigated, and the search for novel predictive biomarkers is ongoing, mainly focusing on tumor- and host-intrinsic components. Less attention has been directed to all the external, potentially modifiable factors that compose the exposome, including diet and lifestyle, infections, vaccinations, and concomitant medications, that could affect the immune system response and its activity against cancer cells. We hereby provide a review of the available clinical evidence elucidating the impact of host-extrinsic factors on ICI response and toxicity.

Hip fractures are common in elderly patients, and almost all the patients undergo surgery. This study aimed to develop a novel modified lymphocyte C-reactive protein (CRP) score (mLCS) to simply and conveniently predict 3-year mortality in elderly patients undergoing intertrochanteric fracture surgery.

A retrospective study was conducted on elderly patients who underwent intertrochanteric fracture surgery between January 2014 and December 2017. The mLCS was developed according to the value of CRP and lymphocyte counts. Univariate and multivariate Cox regression analyses were used to identify independent risk factors for 3-year mortality after surgery. The performances of the lymphocyte CRP score (LCS) and mLCS to predict 3-year mortality were then compared using C-statistics, decision curve analysis (DCA), net reclassification index (NRI) and integrated discrimination improvement (IDI).

A total of 291 patients were enrolled, of whom 52 (17.9%) died within 3 years after surgery. In the multivariate Cox regression analysis, mLCS (hazard ratio (HR), 5.415; 95% confidence interval (CI), 1.743-16.822; P = 0.003) was significantly associated with postoperative 3-year mortality. The C-statistics of LCS and mLCS for predicting 3-year mortality were 0.644 and 0.686, respectively. The NRI (mLCS vs. LCS, 0.018) and IDI (mLCS vs. LCS, 0.017) indicated that the mLCS performed better than the LCS. DCA also showed that mLCS had a higher clinical net benefit.

mLCS is a promising predictor that can simply and conveniently predict 3-year mortality in elderly patients undergoing intertrochanteric fracture surgery.

The prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) are indicators of nutritional immune status. They have been reported associated with clinical outcomes of various solid tumors. However, it is unclear whether they can serve as predictors for patients with microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC) receiving immunotherapy. Our objective was to study the prognostic value of PNI and SII in these patients.

Seventy-five MSI-H mCRC patients were enrolled in our study. Logistic regression analysis was used to identify features that influenced immunotherapy response. Survival differences between groups of mCRC patients were compared using the Kaplan-Meier method and log-rank test. The independent risk parameters for progression-free survival (PFS) and overall survival (OS) of patients with MSI-H mCRC were established by Cox proportional risk regression analysis.

The optimal SII and PNI cutoff values were 409.6 and 51.35. Higher PNI (p = 0.012) and lower high-density lipoprotein cholesterol (HDLC, p = 0.012) were associated with a better immunotherapy response. SII (p = 0.031), cholesterol (CHO) (p = 0.007) and aspartate aminotransferase (AST) (p = 0.031) were independent prognostic factors correlated with OS. Higher PNI (p = 0.012) and lower AST (p = 0.049) were negative predictors of PFS. In addition, patients suffered from immune-related adverse events (irAEs) had a lower SII level (p = 0.04).

Higher AST and SII, and lower PNI predict worse outcomes in MSI-H mCRC patients undergoing immunotherapy. Moreover, patients with lower SII before immunotherapy suffered from irAEs more often.

Clinical trials on icotinib, a first-generation epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI), have shown promising results as targeted therapy for non-small cell lung cancer (NSCLC). This study aimed to establish an effective scoring system to predict the one-year progression-free survival (PFS) of advanced NSCLC patients with EGFR mutations treated with icotinib as targeted therapy. A total of 208 consecutive patients with advanced EGFR-positive NSCLC treated with icotinib were enrolled in this study. Baseline characteristics were collected within 30 days before icotinib treatment. PFS was taken as the primary endpoint and the response rate as the secondary endpoint. Least absolute shrinkage and selection operator (LASSO) regression analysis and Cox proportional hazards regression analysis were used to select the optimal predictors. We evaluated the scoring system using a five-fold cross-validation. PFS events occurred in 175 patients, with a median PFS of 9.9 months (interquartile range, 6.8-14.5). The objective response rate (ORR) was 36.1%, and the disease control rate (DCR) was 67.3%. The final ABC-Score consisted of three predictors: age, bone metastases and carbohydrate antigen 19-9 (CA19-9). Upon comparison of all three factors, the combined ABC-score (area under the curve (AUC)= 0.660) showed a better predictive accuracy than age (AUC = 0.573), bone metastases (AUC = 0.615), and CA19-9 (AUC = 0.608) individually. A five-fold cross-validation showed good discrimination with AUC = 0.623. The ABC-score developed in this study was significantly effective as a prognostic tool for icotinib in advanced NSCLC patients with EGFR mutations.

We investigated the association of body mass index (BMI) modeled as a continuous variable with survival outcomes in advanced non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICI).

We performed a single-institution retrospective analysis of consecutively diagnosed locally advanced or metastatic NSCLC patients treated with single-agent ICI in the first line or recurrent setting. The primary outcome was overall survival (OS). Secondary outcomes were progression-free survival (PFS) and objective response rate (ORR). BMI was modeled using a four-knot restricted cubic spline. Multiple Cox regression was used for survival analysis.

Two hundred patients were included (female 54%; never smoker 12%). Adenocarcinoma was the most common histology (61%). Median age was 67 years, median BMI was 25.9 kg/m2, and 65% of patients had Eastern Cooperative Oncology Group performance status (ECOG PS) of 0-1. On multivariable analysis, only BMI and ECOG PS were independently associated with OS (p < 0.01). Mortality risk decreased as the BMI increased from 20 to 30 kg/m2 (HR 0.49, 95% CI 0.28-0.84); however, it was reversed as the BMI surpassed ~ 30 kg/m2. Compared to ECOG PS ≥ 2, patients with ECOG PS of 0-1 had a longer OS (HR 0.42, 95% CI 0.28-0.63). Similar trends were observed with PFS and ORR, but the strength of the association was weaker.

We observed a nonlinear association between BMI and OS following treatment with ICI in advanced NSCLC. Risk of death increases at both extremes of BMI with a nadir that exists around 30 kg/m2.

Beyond programmed death-ligand 1 (PD-L1) assessed by the combined positive score (CPS) and tumor mutational burden (TMB), no other biomarkers are approved for immunotherapy interventions. Here, we investigated whether additional clinical and pathological variables may impact on immunotherapy outcomes in recurrent or metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) patients.

R/M HNSCC patients treated with immunotherapy were reviewed. Analyzed variables at baseline included: clinicopathological, laboratory, and variables reflecting the host nutritional status such as the prognostic nutritional index (PNI) and albumin. The primary endpoint was progression free survival (PFS). The secondary endpoints were overall survival (OS) and objective response rate (ORR). Univariable and multivariable Cox models were fitted and random forest algorithm was used to estimate the importance of each prognostic variable.

A total of 100 patients were treated with immunotherapy; 50% with single agent and 50% with experimental immunotherapy combinations. In the multivariable analysis, both ECOG performance status (HR: 1.73; 95%CI 1.07-2.82; p = 0.03) and PNI levels (10-point increments, HR: 0.66; 0.46-0.95; p = 0.03) were significantly associated with PFS. However, the derived neutrophil to lymphocyte ratio (dNLR) and lactate dehydrogenase (LDH) were not significantly associated with PFS (p-values > 0.15). In the OS analysis, albumin and PNI were the only statistically significant factors in the multivariable model (p < 0.001).

In our cohort, PNI and ECOG performance status were most strongly associated with PFS in R/M HNSCC patients treated with immunotherapy. These results suggest that parameters informative of nutritional status should be considered before immunotherapy.

Little is known regarding associations between peripheral blood biomarkers (PBBMs) and survival, response, and toxicity in recurrent/metastatic head and neck squamous cell carcinomas (R/M HNSCC) treated with immune checkpoint inhibitors (ICIs).

In this single-institution retrospective cohort study, a dataset of patients with R/M HNSCC treated with ICIs between 08/2012-03/2021 was established, including demographic and clinicopathologic characteristics. Pretreatment PBBMs were collected and evaluated for associations with grade ≥3 adverse events (G ≥ 3AE) by CTCAEv5, objective response (ORR) by RECIST 1.1, overall survival (OS), and progression-free survival (PFS). Multivariable models for each outcome were created using elastic net variable selection.

Our study included 186 patients, with 51 (27%) demonstrating complete or partial response to immunotherapy. Multivariable models adjusted for ECOG performance status (PS), p16, and smoking demonstrated that pretreatment higher LDH and absolute neutrophils, as well as lower percent lymphocytes correlated with worse OS and PFS. Higher LDH and lower % lymphocytes also correlated with worse ORR.

In the largest study to date examining PBBMs in ICI-treated R/M HNSCCs, our variable selection method revealed PBBMs prognostic for survival and response to immunotherapy. These biomarkers warrant further investigation in a prospective study along with validation with CPS biomarker.

Imbalanced body composition is mechanistically connected to dysregulated immune activities. Whether overweight/obesity or sarcopenia has an impact on treatment results in cancer patients undergoing immune checkpoint inhibitor (ICI) therapy is currently under debate. We aimed to answer if survival rates and occurrence of immune-related adverse events (irAEs) were different in obese or sarcopenic patients.

A systematic search was conducted in PubMed, Embase and CENTRAL for all records published until July 2022 using specific search terms for body composition in combination with terms for ICI regimens. Two authors screened independently. All studies that reported on body mass index or sarcopenia measures were selected for further analysis.

48 studies reporting on overweight/obesity comprising of 19,767 patients, and 32 studies reporting on sarcopenia comprising of 3193 patients fulfilled the inclusion criteria. In the entire cohort, overweight/obesity was significantly associated with better progression-free survival (PFS; p = 0.009) and overall survival (OS; p <0.00001). Subgroup analyses stratified by sex revealed that overweight/obese males had the strongest survival benefit (PFS: p = 0.05; OS: p = 0.0005), and overweight/obese female patients did not show any. However, overweight/obese patients of both sexes had a higher risk to develop irAEs grade ≥3 (p = 0.0009). Sarcopenic patients showed significantly shorter PFS (p <0.0001) and OS (p <0.0001). The frequency of irAEs did not differ between sarcopenic and non-sarcopenic patients.

This meta-analysis suggests that body composition is associated in a sex-specific manner with survival and irAEs in cancer patients undergoing ICI treatment.

Malnutrition is a frequent comorbidity in head and neck cancer patients and has been shown to impair immunotherapy response in other cancer types. The geriatric nutritional risk index (GNRI) assesses malnutrition using the patient's ideal weight, actual weight, and serum albumin. The aim of this study was to evaluate the prognostic relevance of malnutrition as determined by the GNRI for the response to immunotherapy in recurrent and/or metastatic head and neck squamous cell carcinoma (R/M HNSCC). A total of 162 patients with R/M HNSCC who received immune checkpoint inhibitors were included. The associations between the GNRI and progression-free survival (PFS), overall survival (OS), and the disease control rate (DCR) were computed. Univariable analysis showed worse PFS for GNRI ≤ 98 (p < 0.001), ECOG performance status (PS) ≥ 2 (p = 0.012), and enteral (p = 0.009) and parenteral (p = 0.015) nutritional supplementation, and worse OS for GNRI < 92 (p < 0.001), ECOG PS ≥ 2 (p < 0.001), and enteral (p = 0.008) and parenteral (p = 0.023) nutritional supplementation. In our multivariable model, GNRI ≤ 98 (p = 0.012) and ECOG PS ≥ 2 (p = 0.025) were independent prognostic factors for PFS. For OS, GNRI < 92 (p < 0.001) and ECOG PS ≥ 2 (p < 0.001) were independent prognostic factors. A GNRI ≤ 98 was significantly associated with a lower DCR compared to a GNRI > 98 (p = 0.001). In conclusion, our findings suggest that the GNRI may be an effective predictor for response to immunotherapy in R/M HNSCC.

Head and neck cancer (HNC) is associated with high rates of malnutrition. We conducted a systematic review and descriptive analysis to determine the effects of nutrition interventions on the nutrition status, quality of life (QOL), and treatment tolerance of HNC patients. PubMed, Web of Science, and Embase were searched to include all potentially relevant studies published between 2006-2022. Meta-analysis was not conducted due to heterogeneity of study designs and outcomes reported. Studies were categorized as nutrition interventions: (1) with oral nutrition supplements (ONS) and medical nutrition therapy (MNT) delivered by an RD; (2) with enteral nutrition (EN) support and MNT delivered by an RD; (3) with motivational interviewing and no ONS or EN; and (4) with ONS and no RD. Seven articles met inclusion criteria. Studies measured outcomes from immediately following treatment to 12 months post-treatment. Interventions resulted in benefits to lean mass/weight maintenance (three studies), QOL (two studies), nutrient intake adequacy (one study) and treatment tolerance (two studies). Nutrition counseling by a registered dietitian leads to improved nutrition status and QOL. Further research is needed to determine best practices related to timing of initiation, duration of nutrition intervention, as well as frequency of dietitian follow-up.

Association of high body mass index (BMI) with longer survival has been reported in patients on immune checkpoint inhibitors (ICIs), but results are inconsistent. This 'obesity paradox' is potentially confounded by the effects of BMI change over time and of skeletal muscle depletion.

We conducted a secondary analysis of a prospective cohort, including consecutive patients receiving ICI treatment for melanoma (n = 411) and non-small cell lung cancer (NSCLC) (n = 389) in routine care.

In the univariable analysis of the entire population, overweight/obesity (BMI ≥ 25 kg/m²) was associated with longer survival (p < 0.01); however, this effect was limited to NSCLC (p < 0.01) and was absent in melanoma. Weight loss (WL) and reduced skeletal muscle mass were observed in patients within all BMI categories. WL was associated with shorter survival in multivariable analysis in both tumour sites (p < 0.01), and for NSCLC, BMI lost significance when WL was included (p = 0.13). In models further adjusted for CT-defined skeletal muscle mass, WL retained significance for both tumour types (p < 0.01), and reduced skeletal muscle only for NSCLC (p = 0.02) was associated with shorter survival. WL retained significance when biomarkers (lactate dehydrogenase enzyme, albumin and derived neutrophil to lymphocyte ratio) were added to the multivariable model.

The so-called 'obesity paradox', counterintuitive association between high BMI and longer survival, vanished when controlling for confounders, such as type of cancer, and manifestations of depletion (WL and reduced skeletal muscle mass).

The nutritional status in cancer patients is related to cancer survival and surgical outcome. The objective of this study was to examine the relationship between preoperative prognostic nutritional index (PNI) and post-operative clinical outcomes in head and neck cancer (HNC) patients. A total of 1282 head and neck cancer patients receiving surgical resection in Changhua Christian Hospital between 1 January 2010 and 30 August 2021 were recruited in the final analysis after undergoing propensity score matching analysis. The logistic regression model was used to assess the association of the PNI group with overall and various complications. The patients in the high PNI group had a significant lower incidence of overall complications, medical complications, and pulmonary complications; but not significant surgical complications. The high PNI group had lower mortality risk. The results in this study revealed that PNI score was a significant independent predictor of postoperative complications in HNC patients undergoing surgical resection. We recommend preoperative testing and evaluation of HNC patients to identify low PNI and high-risk groups for postoperative surveillance.

Pembrolizumab has been widely used to treat advanced urothelial carcinoma that has progressed after first-line platinum-based chemotherapy. Because its clinical benefits are limited, biomarkers that can predict a good response to pembrolizumab are required. The prognostic nutritional index (PNI), calculated using the serum albumin level and peripheral lymphocyte count, has been evaluated as a predictive biomarker in cancer immunotherapy. The present study investigated the application of PNI as a predictive biomarker for pembrolizumab response in patients with advanced urothelial cancer. A retrospective study was conducted on 34 patients treated with pembrolizumab at Shiga University of Medical Science Hospital between January 2018 and July 2022. The posttreatment PNI (post-PNI) was calculated within 2 months of starting pembrolizumab. The present study investigated the association between post-PNI and objective response, overall survival (OS) and progression-free survival (PFS). The patient cohort was stratified into two categories, high and low post-PNI groups, with a cutoff value of post-PNI at 40. The higher post-PNI group demonstrated a better disease control rate than the lower post-PNI group (complete response + partial response + stable disease, 75 vs. 21%, P=0.004). Regarding median OS, the higher post-PNI group exhibited a significantly longer survival time than the lower post-PNI group (23.1 vs. 2.9 months, P<0.001). Similarly, the higher post-PNI group exhibited a significantly longer PFS than the lower post-PNI group (10.2 vs.1.9 months, P<0.001). Multivariate analysis showed that a higher post-PNI value was an independent predictor for OS (hazard ratio, 0.04; 95% confidence interval, 0.01-0.14; P<0.001) and PFS (hazard ratio, 0.12; 95% confidence interval, 0.04-0.35; P<0.001). The present study indicated that the post-PNI was a predictor of favorable clinical outcomes in patients treated with pembrolizumab for advanced urothelial carcinoma.