A Retrospective Study of First‐Line Immunotherapy for Advanced Non‐Small Cell Lung Cancer in the Elderly

Objective: The Prognostic Nutritional Index (PNI), an inflammation-based biomarker derived from serum albumin and lymphocyte count, reflects both nutritional and immunological status. Although widely studied in gastrointestinal malignancies, its prognostic value in non-small cell lung cancer (NSCLC) patients receiving immune checkpoint inhibitors (ICIs) remains insufficiently explored. Methods: A retrospective cohort of 263 patients diagnosed with stage IV non-small-cell lung cancer (NSCLC) who received ICIs (ICIs) between March 2018 and May 2024 at a single tertiary institution was evaluated. The PNI was computed using pre-treatment laboratory data obtained prior to immunotherapy initiation. Patients were categorized into high (≥45.32) and low (<45.32) PNI groups, with the cut-off value determined through receiver operating characteristic (ROC) curve analysis. Survival outcomes were assessed using Kaplan–Meier and Cox regression analyses. Radiological responses were also compared between groups. Results: Patients in the high PNI group demonstrated a markedly prolonged median overall survival (OS) compared to those in the low PNI group (14.17 vs. 6.07 months; log-rank test, P < .001). In multivariate Cox regression analysis, a high PNI was identified as an independent predictor of improved OS (hazard ratio [HR] = 0.48; 95% CI: 0.34-0.67; P < .001). While patients with elevated PNI also exhibited a trend toward longer progression-free survival (6.80 vs. 5.03 months), this finding did not reach statistical significance (P = .14). Radiologic response rates were more favorable in the high PNI group, with higher rates of partial and complete response. Conclusion: Pretreatment PNI is an independent prognostic factor for OS in patients with advanced NSCLC treated with ICIs. Its ease of calculation, low cost, and reflection of host immune-nutritional status support its potential integration into routine clinical practice to refine risk stratification and guide supportive interventions.Cite this article as: Altıntaş YE, Kınıkoğlu O, Işık D, et al. Association between prognostic nutritional index and clinical outcomes in advanced non-small-cell lung cancer treated with immune checkpoint inhibitors. Cerrahpaşa Med J 2025, 49, 0030, doi: 10.5152/ cjm.2025.25030.

ABSTRACTObjectiveThe Prognostic Nutritional Index (PNI), reflects the nutritional and immunological status of the patient and has been associated with outcomes in various cancers. In this study, the prognostic significance of PNI in metastatic hormone‐sensitive prostate cancer (mHSPC) and its potential role in guiding treatment decisions between abiraterone acetate and enzalutamide is investigated.MethodsRetrospective analysis was performed on 167 mHSPC patients treated between 2019 and 2024. PNI was calculated using the formula: 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (/mm³). Patients were stratified into high and low PNI groups according to a cutoff value of 49.98, determined via receiver operating characteristic (ROC) analysis. Survival outcomes, including overall survival (OS), radiographic progression‐free survival (rPFS), and PSA progression‐free survival (PSA‐PFS), were assessed. Treatment responses to abiraterone acetate and enzalutamide were compared within PNI strata.ResultsPatients with PNI > 49.98 had significantly longer median OS than those with PNI ≤ 49.98 (36.6 months vs. 30.0 months, p < 0.01). Multivariate analysis identified high PNI, ECOG performance status 0–1, and absence of visceral metastasis as independent predictors of improved OS. Among patients with low PNI, those treated with enzalutamide had superior OS compared to those receiving abiraterone acetate (p = 0.004), while no significant OS difference was noted between treatments in the high PNI group (p = 0.55).ConclusionPNI serves as a significant prognostic biomarker in mHSPC, correlating with overall survival and potentially influencing treatment efficacy between abiraterone acetate and enzalutamide. Integrating PNI into clinical practice may aid in tailoring individualized treatment options.

Radical esophagectomy is the cornerstone of curative treatment for patients with resectable esophageal squamous cell carcinoma (ESCC). Patient survival after surgery for ESCC is mainly associated with pathological tumor progression. Recently, the impact of baseline immune-nutritional status of various types of patients with cancer on survival has been highlighted. The purpose of the present study was to investigate the association between the baseline prognostic nutritional index (PNI) and postoperative short- and long-term results after esophagectomy for patients with ESCC. In total, 202 patients with ESCC who underwent radical esophagectomy at our institution between 2002 and 2010 were enrolled. PNI was calculated as 10× serum albumin (g/dL) + 0.005 × total lymphocyte counts (per mm3). Receiver operating characteristic (ROC) curves were generated for multiple logistic regression analysis using 5-year overall survival as the endpoint to determine an optimal PNI cutoff value, in which patients were classified into two groups: high PNI and low PNI. We evaluated the significance of PNI on postoperative morbidity and long-term survival using univariate and multivariate analyses. The mean PNI was 48.9 ± 4.6 (range 37.2–64.0). The area under the ROC curve in multiple logistic regression analysis was 0.5367. The projected 5-year survival rate was optimal at a PNI of 44.1. Hence, the PNI cutoff point was set at 44, with subjects classified by PNI level into the low (PNI <44) or high (PNI ≥44) PNI groups. Of 202 patients, 173 (85.7 %) and 29 (14.3 %) were classified as having high and low PNI, respectively. No significant differences were noted between the two groups regarding patient background, including age, sex, pT, pN, and pStage, or postoperative complications. However, overall survival (OS) and relapse-free survival (RFS) were significantly worse in the low PNI group than in the high PNI group. The 5-year OS and RFS rates in the high PNI vs. low PNI groups were 67.2 vs. 41.2 % (P = 0.007) and 61.5 vs. 38.8 % (P = 0.008), respectively. Multivariate analysis revealed that PNI was a significant prognostic factor for both OS (hazard ratio, 1.826; 95 % confidence interval, 1.015–3.285; P = 0.044) and RFS (hazard ratio, 1.862; 95 % confidence interval, 1.121–3.095; P = 0.016). Preoperative PNI is an independent prognostic marker of both OS and RFS for patients with potentially curative ESCC. A careful follow-up for tumor recurrence after surgery is required for ESCC patients with low PNI.

BackgroundWhether the prognostic nutritional index (PNI), which is suggested to reflect systemic inflammation and nutritional status of patients, could be used as an effective prognostic factor for small-cell lung cancer (SCLC) has not yet been clarified. The purpose of this study was to verify the prognostic value of the PNI in SCLC patients treated with programmed cell death ligand-1/programmed cell death 1 (PD-L1/PD-1) inhibitors in the alpine region of China.MethodsSCLC patients treated with PD-L1/PD-1 inhibitors monotherapy or combined with chemotherapy between March 2017 and May 2020 were included. Based on the values of serum albumin and total lymphocyte count, the study population was divided into two groups: high and low PNI. The Kaplan-Meier method was used to compute the median survival time and the log-rank test was used to compare the two groups. To evaluate the prognostic value of the PNI, univariable and multivariable analyses of progression-free survival (PFS) and overall survival (OS) were performed. The correlations between PNI and DCR or ORR were calculated by Point biserial correlation analysis.ResultsOne hundred and forty patients were included in this study, of which, 60.0% were high PNI (PNI > 49.43) and 40.0% were low PNI (PNI ≤ 49.43). Results indicated that the high PNI group had better PFS and OS than the low PNI group in the patients who received PD-L1/PD-1 inhibitors monotherapy (median PFS: 11.0 vs. 4.8 months, p < 0.001 and median OS: 18.5 vs. 11.0 months, p = 0.004). Similarly, better PFS and OS were associated with an increase in PNI level in the patients who accepted PD-L1/PD-1 inhibitors combined with chemotherapy (median PFS: 11.0 vs. 5.3 months, p < 0.001 and median OS: 17.9 vs. 12.6 months, p = 0.005). Multivariate Cox-regression model showed that high PNI was significantly related to better PFS and OS in patients who accepted PD-L1/PD-1 inhibitors monotherapy or combined with chemotherapy (PD-L1/PD-1 inhibitors monotherapy: PFS: HR = 0.23, 95% CI: 0.10–0.52, p < 0.001 and OS: HR = 0.13, 95% CI: 0.03–0.55, p = 0.006; PD-L1/PD-1 inhibitors combined with chemotherapy: PFS: HR = 0.34, 95% CI: 0.19–0.61, p < 0.001 and OS: HR = 0.53, 95% CI: 0.29–0.97, p = 0.040, respectively). Additionally, Point biserial correlation analysis between PNI and disease control rate (DCR) showed that PNI status was positively correlated with DCR in SCLC patients receiving PD-L1/PD-1 inhibitors or combined with chemotherapy (r = 0.351, p < 0.001; r = 0.285, p < 0.001, respectively).ConcussionsPNI may be a promising biomarker of treatment efficacy and prognosis in SCLC patients treated with PD-L1/PD-1 inhibitors in the alpine region of China.

Background: To investigate the significance of the prognostic nutrition index (PNI) as a predictor of survival and guide for treating T1-2N1 breast cancer.Methods: Patients with T1-2N1 breast cancer (N = 380) who underwent a mastectomy at our center were studied. PNI was calculated as 10 × serum albumin (g/dl) + 0.005 × total lymphocyte count (per mm3). The cutoff for the PNI was calculated using the time-dependent receiver operating characteristic (ROC) curve analysis by overall survival (OS) prediction. The associations between the PNI and the clinicopathologic characteristics were analyzed using Pearson's χ2 test. Survival curves were calculated using the Kaplan–Meier method. Univariate and multivariate analyses were performed using the Cox proportional hazards model.Results: Subgroup analyses of patients with low PNI value (≤52.0) and high PNI value (>52.0) showed that a high PNI was significantly associated with HER2 status, the neutrophil–lymphocyte ratio (NLR), the monocyte–lymphocyte ratio (MLR), and KI 67 status. The OS of patients with a high PNI was significantly better than that of patients with a low PNI. We then conducted subgroup analyses based on PNI and radiotherapy. Among patients who received radiotherapy, the OS of those with a high PNI was significantly better than that of patients with a low PNI. Among patients with a high PNI, the OS of those who received radiotherapy was better than that of the patients who did not receive radiotherapy. However, among the patients with a low PNI, the OS of those who received radiation was worse than that of patients who did not receive radiotherapy. The Kaplan–Meier survival analysis and the multivariate analysis of patients with T1-2N1 breast cancer who received radiotherapy showed PNI independently predicted OS.Conclusions: The preoperative PNI may be a reliable predictor of OS of patients with operable T1-2N1 breast cancer, with the capacity to provide a personalized prognosis and facilitate the development of clinical treatment strategies. However, radiotherapy did not achieve satisfactory outcomes in patients with PNI ≤52.0; thus, further studies on treatment optimization are needed.

Trifluridine/tipiracil (FTD/TPI) is an anticancer-agent that is administered as third-line or later chemotherapy for metastatic gastric/gastroesophageal junction cancer (mGC/GEJC). Although inflammatory and nutritional statuses have attracted attention as prognostic factors for patients with mGC/GEJC in this therapy, their usefulness has not been fully clarified. Thus, this study investigated the clinical significance of prognostic nutritional index (PNI), neutrophil/lymphocyte ratio (NLR), and NLR/serum albumin (Alb) ratio in patients administered FTD/TPI. This retrospective study included 64 patients who underwent FTD/TPI treatment for mGC/GEJC at Kanagawa Cancer Center, Kanagawa, Japan, between October 2019 and June 2022. Patients were divided into high and low PNI, NLR, and NLR/Alb groups according to their pretreatment blood data. This study evaluated the associations between the inflammatory and nutritional indexes and survivals. Overall survival (OS) and progression-free survival (PFS) of patients with low PNI were significantly poorer than those with high PNI. However, low PNI was not an independent prognostic factor for OS and PFS. There was no significant association between NLR and OS or PFS. In contrast, the OS of patients with high NLR/Alb was significantly poorer than those with high PNI and low NLR/Alb. Furthermore, multivariate analysis showed that high NLR/Alb was an independent prognostic factor for OS. The NLR/Alb may be a useful prognostic factor in patients with mGC/GEJC being administered FTD/TPI as third-line or later chemotherapy.

BackgroundThis study aimed to evaluate the predictive value of Prognostic Nutritional Index (PNI), Systemic Immunoinflammatory Index (SII), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR) in patients with epithelial ovarian cancer ( EOC). Also, to explore the predictive value of a new scoring system combining PNI and SII (coPNI-SII) in patients with EOC.MethodsIn this study, 154 patients with EOC were analyzed and classified according to the best cut-off values for SII, PNI, PLR, and NLR. Spearman’s rank correlation was used to analyze the correlation of variables. The Kaplan–Meier survival curve and log-rank test were used to investigate the relationship between inflammatory indicators and overall survival (OS), which was then followed by a multivariate Cox proportional hazards model. All patients were categorized into three groups based on PNI-SII scores. The coPNI-SII score ranged from 1 to 3 as follows: score of 1, high PNI (≥ 48.98) and low SII(< 998.87); score of 2, high PNI and high SII or low PNI and low SII; score of 3, low PNI and high SII. To assess the prognostic value of coPNI-SII in patients with EOC.ResultsThe areas under the ROC curves for SII, PNI, PLR, NLR, and coPNI-SII were 0.814, 0.814, 0.780, 0.769, and 0.860, respectively. The optimal cut-off values for SII, PNI, PLR, and NLR were 998.87, 48.98, 217.63, and 2.61, respectively. The Kaplan–Meier analysis showed that the OS of the patients in the high PNI group, low SII group, low NLR group, and low PLR group was significantly higher than that of the patients in the low PNI group, high SII group,high NLR group, and high PLR group (p < 0.01). SII (P = 0.034), PNI (P = 0.013), FIGO staging (P = 0.009), ascites (P = 0.003), CA199 (P = 0.003), HE4 (P = 0.028), residual lesions (P = 0.022), and margins of incision (P < 0.001) were found to be significant prognostic indicators of OS by multifactorial Cox regression analysis. There was a significant inverse relationship between the PNI and SII (r = -0.484; P < 0.01). EOC patients with a coPNI-SII score of 1 had a higher 5-year OS rate (P < 0.05) than EOC patients with a coPNI-SII score of 2 or 3. When taking into account both the SII and PNI, the predictive value rose.ConclusionInterestingly, we found that low preoperative PNI and high SII were strong indicators of poor prognosis in patients with EOC. The combination of SII and PNI can enhance the accuracy of prognosis.

Introduction: The prognostic nutritional index (PNI) is a multiparametric score introduced by Onodera based on the blood levels of lymphocytes and albumin in patients with gastrointestinal neoplasms. Regarding hepatocellular carcinoma (HCC), its prognostic role has been shown in patients treated with sorafenib and lenvatinib. The aim of this real-world study was to investigate the association between clinical outcomes and PNI in patients being treated with atezolizumab plus bevacizumab. Methods: The overall cohort of this multicentric study included 871 consecutive HCC patients from 5 countries treated with atezolizumab plus bevacizumab in first-line therapy. The PNI was calculated as follows: 10 × serum albumin concentration (g/dL) + 0.005 × peripheral lymphocyte count (number/mm³). Results: Data regarding lymphocyte counts and albumin levels were available for 773 patients; therefore, these patients were included in the final analysis. The cut-off point of the PNI was determined to be 41 by receiver operating characteristic analysis. 268 patients (34.7%) were categorized as the PNI-low group, while the remaining 505 (65.3%) patients as the PNI-high group. At the univariate analysis, high PNI was associated with longer overall survival (OS) (22.5 vs. 10.1 months, HR 0.34, p <0.01) and progression-free survival (PFS) (8.7 vs. 5.8 months, HR 0.63, p <0.01) compared to patients with low PNI. At the multivariate analysis, high versus low PNI resulted as an independent prognostic factor for OS (HR 0.49, p <0.01) and PFS (HR 0.82, p = 0.01). There was no difference in objective response rate between the two groups (high 26.1% vs. low 19.8%, p = 0.09), while disease control rate was significantly higher in the PNI-high group (76.8% vs. 66.4%, p = 0.01). Conclusion: PNI is an independent prognostic factor for OS and PFS in HCC patients on first-line treatment with atezolizumab plus bevacizumab.

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.

BackgroundThe prognostic nutritional index (PNI) reflects immunonutritional status. We evaluated the effects of postoperative PNI and perioperative changes in the PNI on overall survival (OS) in glioblastoma (GBM) patients.MethodsDemographic, laboratory, and clinical data were retrospectively collected from 335 GBM patients. Preoperative and postoperative PNIs were calculated from serum albumin concentration and lymphocyte count, which were measured within 3 weeks before surgery and 1 month after surgery. Patients were classified into high (n = 206) or low (n = 129) postoperative PNI groups according to the postoperative PNI cutoff value and further classified into four groups according to the cutoff values of the preoperative and postoperative PNIs, as follows: Group HH (both high PNIs, n = 92), Group HL (high preoperative and low postoperative PNI, n = 70), Group LH (low preoperative and high postoperative PNI, n = 37), and Group LL (both low PNIs, n = 136).ResultsThe median OS was significantly longer in the high postoperative PNI (PNI ≥ 50.2) group than the low postoperative PNI (PNI < 50.2) group (24.0 vs. 15.0 months, p < 0.001). In multivariate analysis, high postoperative PNI was a significant predictor of OS. OS was significantly longer in Group HH than in Group LL and seemed longer in Group HH than in Group HL and in Group LH than in Group LL. OS was not different between Groups HH and LH or between Groups HL and LL.ConclusionsHigh postoperative PNI was associated with improved OS and perioperative changes in PNI may provide additional important information for prognostic prediction in GBM patients.

Objective: To explore the clinical application value of prognostic nutritional index(PNI) for predicting overall survival(OS) in patients with advanced non-small cell lung cancer (NSCLC). Methods: 123 patients with histologically confirmed non-small cell lung cancer were enrolled in this study, and their clinical and laboratory data were reviewed. The PNI was calculated as 10×serum albumin value+ 5×total lymphocyte countin peripheral blood.Univariate and multivariate analyses were used to identify the potential prognostic factors for advanced NSCLC. Results: PNI of the 123 NSCLC patients was 46.24±6.56. PNI was significantly associated with age, weight loss and pleural effusion (P<0.05). However, it showed no relationship with sex, smoking, hemoptysis, chest pain, dyspnea, histological type, clinical stage, and administration of chemotherapy (P>0.05). The median OS of the 123 patients was 19.5 months. The median OS in the higher PNI group (PNI≥46.24) and lower PNI group(PNI<46.24) were 25.2 months and 16.4 months, respectively.The 1-year survival rates were 80.6% and 63.9%, and 2-year survival rates were 54.8% and 19.6%, respectively (P<0.01). Univariate analysis showed that PNI, age, dyspnea, and weight loss were related to the OS of the advanced NSCLC patients (P<0.05). Multivariate analysis identified PNI as an independent prognostic factor for OS of advanced NSCLC (P<0.001). Conclusion: PNI can be easily calculated, and may be used as a relatively new prognostic indicator for advanced NSCLC in clinical practice.

BackgroundPoor nutritional status is associated with progression and advanced disease in patients with cancer. The prognostic nutritional index (PNI) may represent a simple method of assessing host immunonutritional status. This study was designed to investigate the prognostic value of the PNI for distant metastasis-free survival (DMFS) in patients with nasopharyngeal carcinoma (NPC).MethodsA training cohort of 1,168 patients with non-metastatic NPC from two institutions was retrospectively analyzed. The optimal PNI cutoff value for DMFS was identified using the online tool “Cutoff Finder”. DMFS was analyzed using stratified and adjusted analysis. Propensity score-matched analysis was performed to balance baseline characteristics between the high and low PNI groups. Subsequently, the prognostic value of the PNI for DMFS was validated in an external validation cohort of 756 patients with NPC. The area under the receiver operating characteristics curve (AUC) was calculated to compare the discriminatory ability of different prognostic scores.ResultsThe optimal PNI cutoff value was determined to be 51. Low PNI was significantly associated with poorer DMFS than high PNI in univariate analysis (P<0.001) as well as multivariate analysis (P<0.001) before propensity score matching. In subgroup analyses, PNI could also stratify different risks of distant metastases. Propensity score-matched analyses confirmed the prognostic value of PNI, excluding other interpretations and selection bias. In the external validation cohort, patients with high PNI also had significantly lower risk of distant metastases than those with low PNI (Hazards Ratios, 0.487; P<0.001). The PNI consistently showed a higher AUC value at 1-year (0.780), 3-year (0.793) and 5-year (0.812) in comparison with other prognostic scores.ConclusionPNI, an inexpensive and easily assessable inflammatory index, could aid clinicians in developing individualized treatment and follow-up strategies for patients with non-metastatic NPC.

ObjectivePrognostic nutritional index (PNI), calculated as serum albumin (ALB) (g/L) + 5 × total lymphocyte count (109/L), is initially used to evaluate nutritional status in patients undergoing surgery and may evaluate the therapeutic effects and predict the survival of various solid tumors. The present study aimed to evaluate the potential prognostic significance of PNI in breast cancer patients receiving neoadjuvant chemotherapy (NACT).MethodsA total of 785 breast cancer patients treated with neoadjuvant chemotherapy were enrolled in this retrospective study. The optimal cutoff value of PNI by receiver operating characteristic curve stratified patients into a low-PNI group (<51) and a high PNI group (≥51). The associations between breast cancer and clinicopathological variables by PNI were determined by chi-square test or Fisher’s exact test. Kaplan–Meier plots and log-rank test were used to evaluate the clinical outcomes of disease-free survival (DFS) and overall survival (OS). The prognostic value of PNI was analyzed by univariate and multivariate Cox proportional hazards regression models. The toxicity of NACT was accessed by the National Cancer Institute Common Toxicity Criteria (NCI-CTC).ResultsThe results indicated that PNI had prognostic significance by an optimal cutoff value of 51 on DFS and OS in univariate and multivariate Cox regression survival analyses. Breast cancer patients with a high PNI value had longer DFS and OS than those with a low PNI value [47.64 vs. 36.60 months, P < 0.0001, hazard ratio (HR) = 0.264, 95%CI = 0.160–0.435; 73.61 vs. 64.97 months, P < 0.0001, HR = 0.319, 95%CI = 0.207–0.491, respectively]. Furthermore, the results indicated that patients with high PNI had longer DFS and OS than those with low PNI in early stage and advanced breast cancer, especially in advanced breast cancer. The mean DFS and OS times for breast cancer patients with high PNI by the log-rank test were longer than in those with low PNI in different molecular subtypes. Moreover, the mean DFS and OS times in patients with high PNI by the log-rank test were longer than in those patients with low PNI without or with lymph vessel invasion. The common toxicities after neoadjuvant chemotherapy were hematologic and gastrointestinal reaction, and the PNI had no significance on the toxicities of all enrolled patients, except in anemia, leukopenia, and myelosuppression.ConclusionPretreatment PNI with the advantages of being convenient, noninvasive, and reproducible was a useful prognostic indicator for breast cancer patients receiving neoadjuvant chemotherapy and is a promising biomarker for breast cancer on treatment strategy decisions.

This study aimed to evaluate the correlation between the pre-treatment peripheral platelet-to-lymphocyte ratio (PLR) and the prognostic nutritional index (PNI) with the efficacy and prognosis of radiotherapy for cervical cancer. A total of 110 patients with cervical cancer who received radiotherapy at our hospital from November 2017 to November 2020 were retrospectively analysed. The cut-off values of PLR and PNI were obtained using the receive operating characteristic curve (ROC) and the Youden index. The patients were divided into high PLR and low PLR and high PNI and low PNI groups. We compared the clinical characteristics, 3-year overall survival (OS), and progression-free survival (PFS) between the high and low PLR groups, as well as the high and low PNI groups of patients. Cox regression was used to analyse the factors influencing OS and PFS. The median follow-up duration was 26 months. The optimal cut-off value for PLR was 186.88 and that for PNI was 47.35. The 3-year OS values were 81.00% and 97.10% for the high PLR (PLR > 186.88) and low PLR (PLR ≤ 186.88) groups, respectively, and the 3-year PFS values were 59.50% and 88.20% for the high PLR and low PLR groups, respectively, with statistically significant differences (p < 0.05). The 3-year OS values were 97.50% and 74.20% for the high PNI (PNI > 47.35) and the low PNI (PNI ≤ 47.35) groups, respectively, and the 3-year PFS values were 87.30% and 51.60% for the high PNI and low PNI groups, respectively, with statistically significant differences (p < 0.05). Multifactorial Cox regression analyses revealed that high PLR value (PLR > 187.88), low PNI value (PNI ≤ 47.35), histological type, and FIGO stage were independent risk factors for the OS of cervical cancer. Pretreatment PNI values and PLR values can be used as simple and feasible predictors of clinical efficacy and prognosis for patients treated with radiotherapy for cervical cancer.

How low can you go? PD-L1 expression as a biomarker in trials of cancer immunotherapy