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Abstract Background SII, PNI, SIRI, AAPR, and LIPI are prognostic scores based on inflammation, nutrition, and immunity. The purpose of this study was to examine the prognostic value of the SII, PNI, SIRI, AAPR, and LIPI in patients with UTUC who underwent radical nephroureterectomy with bladder cuff excision. Materials and methods Data of UTUC patients in Sichuan Provincial People's Hospital from January 2017 to December 2021 were collected. The optimal critical values of SII, PNI, SIRI, and AAPR were determined by ROC curve, and LIPI was stratified according to the dNLR and LDH. The Kaplan–Meier method was used to draw the survival curve, and Cox proportional hazard model was used to analyze the factors affecting the prognosis of UTUC patients. Results A total of 81 patients with UTUC were included in this study. The optimal truncation value of PNI, SII, SIRI and AAPR were determined to be 48.15, 596.4, 1.45 and 0.50, respectively. Univariate Cox proportional hazard regression showed that low PNI, high SII, high SIRI, low AAPR and poor LIPI group were effective predictors of postoperative prognosis of UTUC patients. Multivariate Cox proportional hazard regression showed that high SII was an independent risk factor for postoperative prognosis of UTUC patients. According to ROC curve, the prediction efficiency of fitting indexes of PNI, SII, SIRI, AAPR and LIPI is better than that of using them alone. Conclusions The SII, PNI, SIRI, AAPR, and LIPI was a potential prognostic predictor in UTUC patients who underwent radical nephroureterectomy with bladder cuff excision.

Background: SII, PNI, SIRI, AAPR, and LIPI are prognostic scores based on inflammation, nutrition, and immunity. The purpose of this study was to examine the prognostic value of the SII, PNI, SIRI, AAPR, and LIPI in patients with UTUC who underwent radical nephroureterectomy with bladder cuff excision. Materials and methods: Data of UTUC patients in Sichuan Provincial People's Hospital from January 2017 to December 2021 were collected. The optimal critical values of SII, PNI, SIRI, and AAPR were determined by ROC curve, and LIPI was stratified according to the dNLR and LDH. The Kaplan–Meier method was used to draw the survival curve, and Cox proportional hazard model was used to analyze the factors affecting the prognosis of UTUC patients. Results: A total of 81 patients with UTUC were included in this study. The optimal truncation value of PNI, SII, SIRI and AAPR were determined to be 48.15, 596.4, 1.45 and 0.50, respectively. Univariate Cox proportional hazard regression showed that low PNI, high SII, high SIRI, low AAPR and poor LIPI group were effective predictors of postoperative prognosis of UTUC patients. Multivariate Cox proportional hazard regression showed that high SII was an independent risk factor for postoperative prognosis of UTUC patients. According to ROC curve, the prediction efficiency of fitting indexes of PNI, SII, SIRI, AAPR and LIPI is better than that of using them alone. Conclusions: The SII, PNI, SIRI, AAPR, and LIPI was a potential prognostic predictor in UTUC patients who underwent radical nephroureterectomy with bladder cuff excision. [ABSTRACT FROM AUTHOR]

Backgroud: The study aimed to analyze the efficacy and safety of PD-1 inhibitors plus chemotherapy with or without endostatin for stage IV lung squamous cell carcinoma (LUSC). Methods: A total of 219 patients with stage IV LUSC were included. 120 received PD-1 inhibitors plus chemotherapy with or without endostatin (IC ± A), of which 39 received endostatin (IC+A) and 81 did not receive endostatin (IC-A). 99 received chemotherapy with or without endostatin (C ± A). Endpoints included overall survival (OS), progression-free survival (PFS), adverse events (AEs), and immune-related adverse events (irAEs). Results: The median PFS in the IC ± A group versus the C ± A group was 8 and 4 months (P < 0.001), and the median OS was 17 and 9 months (P < 0.001). There was no significant difference in any grade AEs between the IC ± A and C ± A groups (P > 0.05). The median PFS in the IC+A group versus the IC-A group was 11 and 7 months (P = 0.024), and the median OS was 34 and 15 months (P = 0.01). There was no significant difference between the IC+A group and the IC-A group for all grade AEs and irAEs (P > 0.05). The subgroup analysis showed that patients with LIPI = 0 had significant OS and PFS benefits in IC+A group, while for patients with LIPI = 1–2, there was no significant difference in OS and PFS benefits between the IC+A group and IC-A group. Conclusions: PD-1 inhibitors plus chemotherapy with endostatin might be first-line treatment for patients with stage IV LUSC. [ABSTRACT FROM AUTHOR]

Abstract Background Although numerous studies have reported the prognostic value of the lung immune prognostic index (LIPI) in non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs), the prognostic value of the LIPI in a pancancer setting remains unclear. Methods A comprehensive search was conducted until July 2023 across the PubMed, Embase, Web of Science, and Cochrane Library databases to identify relevant studies evaluating the prognostic value of the LIPI in cancer patients treated with ICIs. The outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). We described and compared the pooled outcomes by stratifying the patients based on different groupings of LIPI (good vs. intermediate [0 vs. 1], good vs. poor [0 vs. 2], and good vs. intermediate / poor [0 vs. 1 + 2]). Results A total of 9959 patients in 35 studies were included. A higher score of LIPI was associated with impaired OS. The pooled HRs were 1.69 (95% CI: 1.55–1.85, p

Background and PurposeUntil now, it has been difficult to accurately predict the efficacy of immunotherapy in patients with non-small cell lung cancer (NSCLC). A novel indicator, the lung immune prognostic index (LIPI), has shown relatively high prognostic value in patients with solid cancer. Therefore, this study aimed to further identify the association between LIPI and the survival of patients with NSCLC who receive immune checkpoint inhibitors (ICIs).MethodsSeveral electronic databases were searched for available publications up to April 23, 2023. Immunotherapy outcomes included overall survival (OS), progression-free survival (PFS), and hazard ratios (HRs) with 95% confidence intervals (CIs). Subgroup analysis based on the study design and comparison of the LIPI was conducted.ResultsIn this meta-analysis, 21 studies with 9,010 patients were included in this meta-analysis. The pooled results demonstrated that elevated LIPI was significantly associated with poor OS (HR = 2.50, 95% CI:2.09–2.99, p < 0.001) and PFS (HR = 1.77, 95% CI:1.64–1.91, p < 0.001). Subgroup analyses stratified by study design (retrospective vs. prospective) and comparison of LIPI (1 vs. 0, 2 vs. 0, 1–2 vs. 0, 2 vs. 1 vs. 0, 2 vs. 0–1 and 2 vs. 1) showed similar results.ConclusionLIPI could serve as a novel and reliable prognostic factor in NSCLC treated with ICIs, and elevated LIPI predicts worse prognosis.

Simple Summary: The lung immune prognostic index (LIPI) is a valuable tool for reflecting the systemic inflammatory status by combining lactate dehydrogenase (LDH) levels and derived neutrophil/lymphocyte ratio (dNLR) values. In advanced non-small cell lung cancer, the LIPI score before starting PD-(L)1 checkpoint inhibitors can predict disease outcomes through three risk categories. Our hypothesis is that changes in the LIPI score during treatment can predict the likelihood of immune-related adverse events (irAEs). Interestingly, patients who experienced a shift towards a more favorable prognostic category in their LIPI score were at a significantly higher risk of developing irAEs. Furthermore, the dynamic variations in LIPI score provided prognostic insights into overall survival outcomes. In advanced cancer patients undergoing immune checkpoint blockade, the burden of immune-related adverse events (irAEs) is high. The need for reliable biomarkers for irAEs remains unfulfilled in this expanding therapeutic field. The lung immune prognostic index (LIPI) is a noninvasive measure of systemic inflammation that has consistently shown a correlation with survival in various cancer types when assessed at baseline. This study sought to determine whether early changes in the LIPI score could discriminate the risk of irAEs and different survival outcomes in advanced non-small cell lung cancer (NSCLC) patients receiving PD-(L)1 blockade-based therapies. We included consecutive patients diagnosed with metastatic NSCLC who received pembrolizumab, nivolumab, or atezolizumab as second-line therapy following platinum-based chemotherapy, or first-line pembrolizumab either alone or in combination with platinum-based chemotherapy. The LIPI score relied on the combined values of derived neutrophil/lymphocyte ratio (dNLR) and lactate dehydrogenase. Their assessment at baseline and after two cycles of treatment allowed us to categorize the population into three subgroups with good (LIPI-0), intermediate (LIPI-1), and poor (LIPI-2) prognosis. Between April 2016 and May 2023, we enrolled a total of 345 eligible patients, 165 (47.8%) and 180 (52.2%) of whom were treated as first- and second-line at our facility, respectively. After applying propensity score matching, we considered 83 relevant patients in each cohort with a homogeneous distribution of all characteristics across the baseline LIPI subgroups. There was a noticeable change in the distribution of LIPI categories due to a significant decrease in dNLR values during treatment. Although no patients shifted to a worse prognosis category, 20 (24.1%) transitioned from LIPI-1 to LIPI-0, and 7 (8.4%) moved from LIPI-2 to LIPI-1 (p < 0.001). Throughout a median observation period of 7.3 (IQR 3.9–15.1) months, a total of 158 irAEs (63.5%) were documented, with 121 (48.6%) and 39 (15.7%) patients experiencing mild to moderate and severe adverse events, respectively. Multivariate logistic regression analysis showed that the classification and changes in the LIPI score while on treatment were independent predictors of irAEs. The LIPI-0 group was found to have significantly increased odds of experiencing irAEs. Following a median follow-up period of 21.1 (95% CI 17.9–25.8) months, the multivariable Cox model confirmed LIPI categorization at any given time point as a significant covariate with influence on overall survival, irrespective of the treatment line. These findings suggest that reassessing the LIPI score after two cycles of treatment could help pinpoint patients particularly prone to immune-related toxicities. Those who maintain a good LIPI score or move from the intermediate to good category would be more likely to develop irAEs. The continuous assessment of LIPI provides prognostic insights and could be useful for predicting the benefit of PD-(L)1 checkpoint inhibitors. [ABSTRACT FROM AUTHOR]

Background: Transarterial chemoembolization (TACE), one of the most commonly used postoperative adjuvant therapy for HCC, has achieved satisfactory outcomes. This study aimed to explore the prognostic value of lung immune prognostic index (LIPI) and develop a novel nomogram for recurrence-free survival (RFS) of HCC patients received postoperative adjuvant TACE (PA-TACE). Methods: The prognostic value of LIPI was evaluated by C-index, receiver operating characteristic (ROC) analysis, and Kaplan–Meier survival curve. An effective nomogram based on preoperative prognostic factors was established from multivariate analysis and validated in the validation cohort. Results: The ROC and survival analysis demonstrated that the LIPI exhibited better prediction performance of HCC recurrence than other inflammatory biomarkers. According to univariate and multivariate analysis, LIPI, followed by AFP, MVI and age, were significant independent predictors for HCC recurrence and were utilized to construct the nomogram. The C-indexes of the nomogram were 0.746 (95% CI 0.721–0.770) and 0.738 (95% CI 0.701–0.775) in the training and validation cohort, respectively. The AUCs for the 1-, 2-, and 3-year RFS were 0.799, 0.867 and 0.884 in the training cohort and 0.798, 0.779 and 0.770 in the validation cohort, respectively. The calibration curves presented good consistencies. Moreover, compared with the LIPI and other clinical staging system, the established nomogram presented better prognostic performance. Conclusion: Preoperative LIPI might be a powerful predictor for RFS in HCC patients received PA-TACE. The LIPI-based nomogram could further effectively predict the risk of recurrence and help clinicians formulate personalized follow-up strategies and adjuvant therapy to improve patient outcomes. [ABSTRACT FROM AUTHOR]

Objective: To explore the association between the Lung Immune Prognostic Index (LIPI) and 1-year all-cause mortality in patients with idiopathic inflammatory myopathy related interstitial lung disease (IIM-ILD). Methods: Patients who were diagnosed with IIM-ILD at West China Hospital, Sichuan University from January 2008 to December 2021 were retrospectively included and categorized into three groups based on LIPI. Univariable and multivariable Cox proportional hazards models were conducted to explore potential association between the LIPI and patients' mortality. Results: A total of 1 116 patients were screened, and 830 were included in this study. The multivariable Cox analysis showed that, compared with patients with poor LIPI, the hazard ratio (HR) for all-cause 1-year mortality was 0.22 (95% CI 0.05-0.93, P=0.04) for patients in the good LIPI group (LDH<250 IU/L and dNLR<3). After excluding patients lost to follow-up within one year, a similar result was found for LIPI (HR 0.20, 95% CI 0.05-0.86; P=0.03). Conclusions: Good LIPI was independently associated with decreased risk of all-cause 1-year mortality in patients with IIM-ILD. This easy-to-obtain index might be served as a potential marker for assessing the prognosis of IIM-ILD. [ABSTRACT FROM AUTHOR]

Jing Huang,1,2,&ast; Hongjiang Pu,3,&ast; Jintao He,4 Xiaohu Tang5 1The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China; 2Department of Integrated Traditional Chinese and Western Medicine, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Centre, Kunming, People’s Republic of China; 3Department of Oncology, Dazhou Central Hospital, Dazhou, Sichuan, People’s Republic of China; 4Kunming Medical University, Kunming, People’s Republic of China; 5Department of Rheumatology, The First Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, Kunming, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiaohu Tang, Department of Rheumatology, the First Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, 120 Guanghua Street, Wuhua District, Kunming, 650032, People’s Republic of China, Tel/Fax +86-871-63639262, Email h.tang0718@163.comBackground: Most cancer-related deaths around the globe are caused by lung cancer. The present treatments for metastatic non-small cell lung cancer (mNSCLC) are cytotoxic chemotherapy (CCT), targeted therapy (TT) and immunotherapy, but the benefit of the same regime varies greatly. Hence, it is important to identify biomarkers to predict the efficacy of modalities. Previous literature suggested certain parameters might be predictive factors. Nevertheless, the utility of these parameters is limited due to the types of solid tumors.Purpose: The study aimed to examine whether the lung immune prognostic index (LIPI) was related to outcomes of CCT, immune checkpoint inhibitors (ICIs) and TT for mNSCLC patients.Materials and Methods: A retrospective cohort study between September 2012 and May 2020 was conducted on 350 Chinese mNSCLC patients, including 147 patients receiving ICIs, 103 TT, and 100 CCT. The data were examined to analyze the prognostic value of LIPI among various treatments.Main Outcomes and Measures: The associations between PFS and good, intermediate, or poor prognostic LIPI scores in ICIs, TT, and CCT were determined, respectively.Results: In univariable analyses, there was a relevance between a good LIPI score and better PFS among patients receiving ICIs (HR, 0.81; 95% CI, 0.44– 1.51), TT (HR, 0.35; 95% CI, 0.16– 1.74), and CCT (HR, 0.39; 95% CI, 0.19– 0.80). In multivariable analyses, the intermediate LIPI score was linked to better PFS only in patients receiving TT (HR, 0.31; 95% CI, 0.17– 0.92) rather than ICIs (HR, 1.12; 95% CI, 0.66– 2.45) or CCT (HR, 1.24; 95% CI, 0.49– 4.55).Conclusion: Baseline LIPI value is an important prognostic biomarker for mNSCLC patients treated with TT. Shorter PFS with TT was associated with poor baseline LIPI. Poor LIPI score may be considered as a promising indicator showing which patients are unlikely to respond well to TT. The prognostic value of LIPI can be more clearly determined through prospective clinical study.Keywords: lung immune prognostic index, metastatic non-small cell lung cancer, prognostic value

Background: Inflammation is a factor that promotes tumor progression and immunosuppression. Lung immune prognostic index (LIPI) is a non-invasive and easily calculated indicator of inflammation. This study aimed to investigate whether continuous assessment of LIPI has predictive value for chemoimmunotherapy in non-small cell lung cancer (NSCLC) patients receiving first-line programmed cell death 1 (PD-1) inhibitor plus chemotherapy. In addition, the predictive value of LIPI in patients with the negative or low programmed death-ligand (PD-L1) expression level was also explored. Methods: Totally, 146 stage IIIB to IV or recurrent NSCLC patients who received first-line PD-1 inhibitor combined with chemotherapy were enrolled in this study. The LIPI scores were calculated at baseline (PRE-LIPI) and after two cycles of the combined administration (POST-LIPI). This study analyzed the relationship between good/intermediate/poor PRE (POST)-LIPI and objective response rate (ORR), as well as progression-free survival (PFS) using logistic and Cox regression models. In addition, the predictive value of LIPI in patients with the negative or low PD-L1 expression level was explored. To further assess the potential predictive value of continuous assessment of LIPI, the association of sum (LIPI) [sum(LIPI) = PRE-LIPI + POST-LIPI] and PFS was analyzed in the 146 patients. Results: Compared with good POST-LIPI group, significantly lower ORRs were found in intermediate POST-LIPI (P = 0.005) and poor POST-LIPI (P = 0.018) groups. Moreover, intermediate POST-LIPI (P =0.003) and poor POST-LIPI (P < 0.001) were significantly associated with a shorter PFS than good POST-LIPI. Additionally, a higher POST-LIPI score was still significantly associated with poorer treatment efficacy in patients with the negative or low PD-L1 expression level. Moreover, a higher sum (LIPI) score was significantly correlated with a shorter PFS (P = 0.001). Conclusion: Continuous assessment of LIPI might be an effective method for predicting the efficacy of PD-1 inhibitor plus chemotherapy in NSCLC patients. In addition, in patients with the negative or low PD-L1 expression level, it might also have a potential predictive value for therapeutic efficacy to continuously assess LIPI during the treatment. [ABSTRACT FROM AUTHOR]

Background and objective This study retrospectively analyzed the application value of lung cancer immunotherapy prognostic index (LIPI) and iSEND immune scoring system in advanced non-small cell lung cancer (NSCLC) patients treated with immunotherapy in China, in order to find guidance for clinical development of NSCLC treatment plan. Methods The clinical data of 178 patients with advanced NSCLC treated with immunotherapy were analyzed retrospectively. LIPI and iSEND immune scores were performed, receiver operating characteristic (ROC) curves were drawn, and the predictive values of two models for objective response rate (ORR), disease control rate (DCR), and progression-free survival (PFS) were compared. Kaplan-Meier method was used for survival analysis, and Cox regression analysis method was used for univariate analysis and multivariate analysis. Results The area under the curver (AUC) of ORR, DCR and PFS predicted by iSEND immune score were 0.616, 0.634 and 0.631 respectively; LIPI were 0.789, 0.750 and 0.732 respectively, which were higher than iSEND immune score (P

Abstract Background The prognostic implications of palliative chemotherapy for advanced or recurrent thymic carcinomas require full elucidation. The lung immune prognostic index (LIPI) is a novel prognostic index whose effectiveness has recently been reported in lung cancer patients. This study aimed to evaluate the clinical value of the LIPI in advanced or recurrent thymic carcinoma patients. Methods We retrospectively analyzed 41 advanced or recurrent thymic carcinoma patients undergoing palliative chemotherapy between January 2001 and December 2020. Survival‐time analysis was conducted using the Kaplan–Meier method and log‐rank test. Multivariate analysis using the Cox proportional hazards model was performed to investigate the predictive and/or prognostic value of the LIPI. Results Median progression‐free survival (PFS) for first‐line chemotherapy and overall survival (OS) were significantly longer in the good‐LIPI group (LIPI: 0) than in the intermediate/poor‐LIPI group (LIPI: 1 or 2) (PFS: 13.4 vs. 6.8 months, p = 0.025; OS: 48.2 vs. 28.9 months, p = 0.00506). Multivariate analysis revealed that intermediate/poor LIPI was the adverse prognostic factor for PFS. With regard to OS, serum albumin

Kei Sonehara, Kazunari Tateishi, Taisuke Araki, Masamichi Komatsu, Jumpei Akahane, Hiroshi Yamamoto, Masayuki Hanaoka First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto City, Nagano, JapanCorrespondence: Kazunari TateishiFirst Department of Internal Medicine, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto City, Nagano, 390-8621, Japan, Tel +81-263-37-2631, Fax +81-263-36-3722, Email tateishi@shinshu-u.ac.jpPurpose: Similar to the neutrophil-to-lymphocyte ratio and lung immune prognostic index (LIPI), immune-related adverse events (irAEs) were favorable prognostic factors in several studies, for patients with non-small cell lung cancer who received immune checkpoint inhibitors (ICIs). However, few studies have investigated patient characteristics and markers that predict the development of irAEs, and factors predicting the development of irAEs have not been clarified. Thus, the present study aimed to examine the predictive factors correlated with the development of irAEs in non-small cell lung cancer (NSCLC) patients who received anti-programmed cell death protein 1/programmed cell death ligand 1 inhibitor monotherapy.Patients and Methods: The present study was retrospectively enrolled 113 advanced NSCLC patients who received ICIs between February 2016 and May 2021 and was conducted at Shinshu University Hospital. All patients were divided into two groups according to with or without of irAEs. We compared the clinical findings and laboratory data between the two groups and considered predictive factors correlated with the development of irAEs.Results: Forty-four (38.9%) patients developed irAEs of any grade. The most common irAEs were hypothyroidism (12.4%), followed by skin rash (7.1%) and interstitial lung disease (7.1%). The survival time in patients with irAEs was significantly more prolonged compared to those without irAEs (median progression-free survival: 6.8 vs 2.1 months, p < 0.001; median overall survival: 25.3 vs 9.6 months, p = 0.001). Multivariate analyses based on logistic regression revealed independent predictive factors that correlated with the development of irAEs to be first-line ICI treatment and a score of 0 or 1 on LIPI.Conclusion: The present study revealed that lines of immunotherapy and LIPI were correlated with the development of irAEs in NSCLC patients who received ICIs and can help clinicians who manage patients experiencing irAEs receiving ICIs.Keywords: non-small cell lung cancer, programmed cell death ligand 1 inhibitor monotherapy, immune-related adverse events, lung immune prognostic index, predictive factor

BackgroundLung immune prognostic index (LIPI), a combination of derived neutrophil-to-lymphocyte ratio (dNLR) and lactate dehydrogenase (LDH), is currently attracting considerable interest as a potential prognostic indicator in many malignancies. Our study aimed to investigate the prognostic value of preoperative LIPI in patients with pancreatic ductal adenocarcinoma (PDAC) undergoing radical resection.MethodsWe retrospectively reviewed PDAC patients treated with radical resection from February 2019 to April 2021 at Chinese People's Liberation Army (PLA) general hospital. Based on the cut-off value of dNLR and LDH identified by X-tile, patients were divided into LIPI good and LIPI intermediate/poor group. Kaplan-Meier curve and log-rank test were used to compare the recurrence-free survival (RFS) and overall survival (OS) of the two groups. Univariate and multivariate Cox regression was used to identify the independent prognostic value of LIPI. Subgroup analysis was performed to identify specific population benefited from radical resection.ResultsA total of 205 patients were included and the median RFS and OS was 10.8 and 24.3 months, respectively. Preoperative LIPI intermediate/poor was related to worse RFS and OS (p

Introduction: Lung cancer is one of the most diagnosed malignancies with increasing incidence worldwide. Immunotherapy is the main oncological treatment for advanced non-small cell lung cancer (NSCLC), for which the discovery of new efficient biomarkers is crucial. Scientific evidence points to the importance of the Lung Immune Prognostic Index (LIPI), but its predictive significance is unclear. Aim: The aim of this study was to investigate the clinical significance and predictive role of LIPI in patients with advanced NSCLC and PD-L1 mutation who are eligible for immunotherapy in combination with chemotherapy. In addition, to our knowledge, this is the first time that the association between COVID-19 infection and the course and outcome of oncologic treatment of NSCLC has been investigated. Patients and Methods: Patients were divided into four study groups according to strictly defined clinical parameters, therapeutic approach, and COVID-19 infection. LIPI was determined and its predictive power was evaluated in all studied groups, as well as overall survival (OS), progression-free survival (PFS), and disease control rate (DCR). Results: This study confirmed the understudied and uncertain predictive power and clinical relevance of LIPI as a biomarker in patients with advanced NSCLC. Patients infected with COVID-19 had a higher survival rate than uninfected patients despite the therapeutic approach, which may be attributed to their hospitalization and intensive medical management during the pandemic. Conclusions: Findings obtained in this study may help to determine treatment options according to the clinical condition of the patient by using LIPI values as a non-invasive, readily available and economically acceptable predictive biomarker in lung oncology. [ABSTRACT FROM AUTHOR]

Purpose: Osteosarcoma is the most common primary malignancy of bone with a dismal prognosis for patients with pulmonary metastases. Evaluation of osteosarcoma prognosis would facilitate the prognosis consultation as well as the development of personalized treatment decisions. However, there is limited effective prognostic predictor at present. Lung Immune Prognostic Index (LIPI) is a novel prognostic factor in pulmonary cancers, whereas, the prognostic significance of LIPI in osteosarcoma has not yet been well clarified. In this study, we firstly explore the prognostic role of LIPI and further modify this predictive model in osteosarcoma. Patients and methods: A retrospectively study was conducted at Musculoskeletal Tumor Center of West China Hospital between January 2016 and January 2021. Hematological factors and clinical features of osteosarcoma patients were collected and analyzed. The area under curve (AUC) and optimal cuff-off of each single hematological factor was calculated. Results: In this study, lactate dehydrogenase (LDH), derived neurtrophil to lymphocyte ratio (dNLR), and Hydroxybutyrate dehydrogenase (HBDH) have higher AUC values. LIPI was composed of LDH and dNLR and was further modified by combing the HBDH, forming the osteosarcoma immune prognostic index (OIPI). OIPI divided 223 osteosarcoma patients divided into four groups, none, light, moderate, and severe (p < 0.0001). OIPI has a higher AUC value than LIPI and other hematological indexes in t-ROC curve. According to the univariate and multivariate analysis, pathological fracture, metastasis, NLR, platelet--lymphocyte ratio (PLR), and OIPI were associated with the prognosis; and metastasis and OIPI were independent prognostic factors of osteosarcoma patients. An OIPI-based nomogram was also established and could predict the 3-year and 5-year overall survival. In addition, OIPI was also revealed correlated with metastasis and pathological fracture in osteosarcoma. Conclusion: This study first explore the prognostic significance of LIPI in osteosarcoma patients. In addition, we developed a modified LIPI, the OIPI, for osteosarcoma patients. Both the LIPI and OIPI could predict the overall survival of osteosarcoma patients well, while OIPI may be more suitable for osteosarcoma patients. In particular, OIPI may have the ability to identify some high-risk patients from clinically low-risk patients. [ABSTRACT FROM AUTHOR]

Objective: To investigate the effects of derived neutrophil to lymphocyte ratio (dNLR) and lung immune prognostic index (LIPI) score on the overall survival (OS) of non-surgical elderly non- small cell lung cancer (NSCLC) patients. Methods Clinical and pathological data of NSCLC patients in Hebei General Hospital from January 2014 to June 2018 were collected retrospectively. The dNLR value was calculated based on the results of blood routine before treatment, and the optimal cut-off value of dNLR was obtained by ROC curve. The patients were divided into low dNLR level group and high dNLR level group based on the optimal dNLR cut-off value. The groups were classified as good, intermediate and poor based on the LIPI score consisting of lactate dehydrogenase (LDH) and dNLR tested before treatment. The Kaplan- Meier method and Log rank test were used for survival analysis, and the Cox risk proportional regression model was used for analysis of prognostic influences. Results The area under the ROC curve for dNLR predicting prognosis in non-surgical elderly NSCLC patients was 0.591 (95% CI: 0.491, 0.692; P =0.093). The optimal cut-off value for dNLR predicting prognosis in elderly NSCLC patients was 2. 515, with a sensitivity of 45.5% and a specificity of 81.8%. The gender, BMI, pathological type and degree of tumor differentiation were associated with dNLR levels (P <0.05). The median survival times were 16 and 10 months for patients in the low dNLR level group (dNLR<2.51) and high dNLR level group (dNLR=2.51), respectively (P <0.001), and 15, 10 and 6 months for patients with good, intermediate and poor LIPI scores, respectively (P < 0. 001). The age, gender, smoking, pathological type, tumor differentiation, clinical stage, BMI, dNLR level, LDH level and LIPI scores were all associated with patient prognosis (P< 0.05), and age=76 years, tumor differentiation and clinical stage - and - were independent factors influencing patient prognosis (P<0.05). Conclusion: No matter what treatment measures are taken, dNLR level and LIPI score are related to patients' prognosis, and non-surgical elderly NSCLC patients with high dNLR level and poor LIPI score before treatment have worse prognoses. [ABSTRACT FROM AUTHOR]

Background: Immune-related biomarkers are linked to the outcomes of cancer immunotherapy. This study evaluates the baseline and longitudinal association between the lung immune prognostic index (LIPI) and immune checkpoint inhibitor outcomes in previously treated recurrent or metastatic (R/M) nasopharyngeal carcinoma (NPC) patients., Methods: Data from 153 R/M NPC patients (median age = 49.00 years old) enrolled in a multicenter, single-arm, phase 2 study (NCT03848286) were analyzed. Pretreatment LIPI was classified into good and intermediate/poor (inter/poor) groups. Longitudinal LIPI variations were categorized into "Stable good", "Trend to increase", "Trend to decrease", and "Stable inter/poor". Primary and secondary outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR)., Results: Pretreatment LIPI was significantly associated with OS (inter/poor vs. good: HR = 2.54, 95 % CI: 1.60-4.04, P < 0.001), PFS [inter/poor vs. good: hazard ratio (HR) = 2.18, 95 % CI: 1.47-3.23, P < 0.001], and DCR [inter/poor vs. good: odd ratio (OR) = 0.26, 95 % CI: 0.12-0.58, P < 0.001)]. Patients with persistently inter/poor LIPI status showed worse OS (HR = 3.25, 95 % CI: 1.84-5.74, P < 0.001), PFS (HR = 2.96, 95 % CI: 1.85-4.74, P < 0.001), and ORR (OR = 0.21, 95 % CI: 0.08-0.56, P < 0.001) compared to the persistently good subgroup., Conclusion: Pretreatment LIPI and its longitudinal variations may serve as potential biomarkers for predicting immune checkpoint inhibitor outcomes in R/M NPC patients., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Junyou Ge, Yan Qing, and Youneng Wei reports a relationship with Sichuan Kelun-Biotech Biopharmaceutical Co., Ltd. that includes: employment. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Ji-Feng Feng,1,2 Jian-Ming Zhao,3 Sheng Chen,1 Qi-Xun Chen1,2 1Department of Thoracic Oncological Surgery, Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, 310022, People’s Republic of China; 2Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology, Hangzhou, 310022, People’s Republic of China; 3Department of Thoracic Surgery, Jinhua Guangfu Hospital, Jinghua, 321001, People’s Republic of ChinaCorrespondence: Ji-Feng FengDepartment of Thoracic Oncological Surgery, Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, No. 38 Guangji Road, Hangzhou, 310022, People’s Republic of ChinaEmail Fengjf@zjcc.org.cnBackground: The lung immune prognostic index (LIPI), a novel index combined with serum lactate dehydrogenase (LDH) and derived neutrophil to lymphocyte ratio (dNLR), is recently proposed to predict prognosis in lung cancer. The LIPI is not a unique indicator for lung cancer. However, the prognostic role of LIPI has not yet been evaluated in extra-pulmonary cancer. The aim of this study was to determine whether LIPI is still a useful prognostic indicator for patients with resected esophageal squamous cell carcinoma (ESCC).Methods: The clinical data including preoperative laboratory results for 361 consecutive resected ESCC cases from 2007 to 2010 were retrospectively analyzed. A LIPI based on serum LDH and dNLR was conducted, characterizing into 3 groups (LIPI 0, 1 and 2). The association between LIPI and cancer-specific survival (CSS) was analyzed according to the Kaplan–Meier method and Cox regression analysis with hazard ratio (HR) and 95% confidence interval (CI). A nomogram model was conducted by R 3.6.0 software.Results: In this study, 220 (60.9%), 100 (27.7%) and 41 (11.4%) patients had a LIPI of 0, 1 and 2, respectively. The 5-year CSS for LIPI 0, 1 and 2 was 40.9%, 19.0% and 9.8%, respectively (P< 0.001). Subgroup analysis based on TNM stage revealed that HALP was also significantly related to CSS in any stage (TNM I: P=0.002; TNM II: P=0.009; TNM III: P=0.031). The LIPI serves as an independent predictor regarding CSS in multivariate analyses in patients with resected ESCC. Compared to LIPI 0, LIPI 1 and 2 had an HR of 1.419 (95% CI: 1.063– 1.895, P=0.018) and 2.064 (95% CI: 1.403– 3.036, P< 0.001) regarding CSS, respectively. A nomogram was also developed in individualized CSS prediction based on LIPI in patients with resected ESCC.Conclusion: To the best of our knowledge, the present study is the first study to explore the association between LIPI and prognosis in patients with extra-pulmonary cancer. The LIPI, combined with LDH and dNLR, is still a potential independent prognostic marker in patients with resected ESCC.Keywords: esophageal squamous cell carcinoma, lung immune prognostic index, lactate dehydrogenase, derived neutrophil to lymphocyte ratio, prognosis

Background: The prognostic implications of palliative chemotherapy for advanced or recurrent thymic carcinomas require full elucidation. The lung immune prognostic index (LIPI) is a novel prognostic index whose effectiveness has recently been reported in lung cancer patients. This study aimed to evaluate the clinical value of the LIPI in advanced or recurrent thymic carcinoma patients. Methods: We retrospectively analyzed 41 advanced or recurrent thymic carcinoma patients undergoing palliative chemotherapy between January 2001 and December 2020. Survival‐time analysis was conducted using the Kaplan–Meier method and log‐rank test. Multivariate analysis using the Cox proportional hazards model was performed to investigate the predictive and/or prognostic value of the LIPI. Results: Median progression‐free survival (PFS) for first‐line chemotherapy and overall survival (OS) were significantly longer in the good‐LIPI group (LIPI: 0) than in the intermediate/poor‐LIPI group (LIPI: 1 or 2) (PFS: 13.4 vs. 6.8 months, p = 0.025; OS: 48.2 vs. 28.9 months, p = 0.00506). Multivariate analysis revealed that intermediate/poor LIPI was the adverse prognostic factor for PFS. With regard to OS, serum albumin <3.5 g/dl and an intermediate/poor LIPI were identified as independent adverse prognostic factors. Conclusions: Our study indicates that the LIPI is a potential prognostic marker in patients with advanced or recurrent thymic carcinoma undergoing palliative chemotherapy. [ABSTRACT FROM AUTHOR]

Background: The lung immune prognostic index (LIPI) predicts the prognosis of patients with advanced non-small-cell lung cancer and is a prognostic biomarker for renal cell carcinoma and melanoma; however, no study has evaluated its potential as a preoperative biomarker for patients with bladder cancer (BC). We investigated the LIPI as a preoperative prognostic biomarker in patients undergoing radical cystectomy. Methods: We retrospectively analyzed the clinical records of 105 patients with BC who underwent radical cystectomy from January 2013 to June 2019. The LIPI was evaluated based on the preoperatively derived neutrophil–lymphocyte ratio and the lactate dehydrogenase levels. Inverse probability of treatment weighting (IPTW)-adjusted Kaplan–Meier curves and decision curve analysis (DCA) were performed to assess the disease-free survival (DFS), cancer-specific survival (CSS), and overall survival (OS) rates. Results: The patients were classified into the good, intermediate, and poor LIPI groups [71 (67.6%), 28 (26.7%), and 6 (5.7%) patients, respectively]. IPTW-adjusted Kaplan–Meier curve analyses showed that patients with intermediate to poor LIPI had worse DFS, CSS, and OS rates than those with good LIPI. The LIPI combined with pT3/4 and lymph node metastasis could better assess the prognosis of DFS at 24 months postoperatively by DCA. Conclusion: The preoperative LIPI can predict the prognosis of patients with BC undergoing radical cystectomy and has a better predictive ability when combined with pT3/4 and lymph node metastasis. [ABSTRACT FROM AUTHOR]

Abstract Background The lung immune prognostic index (LIPI) is a marker that combines the derived neutrophil‐to‐lymphocyte ratio (dNLR) and serum lactate dehydrogenase (LDH) level and is a recently reported prognostic factor of immune checkpoint inhibitor therapy for non‐small cell lung cancer (NSCLC). However, there are no reports regarding the prognostic value of LIPI in small cell lung cancer (SCLC). Methods We retrospectively enrolled 171 patients diagnosed with SCLC and treated at Shinshu University School of Medicine between January 2003 and November 2019. Progression‐free survival (PFS) and overall survival (OS) were compared according to LIPI, and we investigated whether LIPI could be a prognostic factor in SCLC using the Kaplan‐Meier method and univariate and multivariate Cox models. Results The median OS of the LIPI 0 group was significantly longer than that of the LIPI 1 plus 2 group (21.0 vs. 11.6 months, P

Background and Purpose: Until now, it has been difficult to accurately predict the efficacy of immunotherapy in patients with non-small cell lung cancer (NSCLC). A novel indicator, the lung immune prognostic index (LIPI), has shown relatively high prognostic value in patients with solid cancer. Therefore, this study aimed to further identify the association between LIPI and the survival of patients with NSCLC who receive immune checkpoint inhibitors (ICIs)., Methods: Several electronic databases were searched for available publications up to April 23, 2023. Immunotherapy outcomes included overall survival (OS), progression-free survival (PFS), and hazard ratios (HRs) with 95% confidence intervals (CIs). Subgroup analysis based on the study design and comparison of the LIPI was conducted., Results: In this meta-analysis, 21 studies with 9,010 patients were included in this meta-analysis. The pooled results demonstrated that elevated LIPI was significantly associated with poor OS (HR = 2.50, 95% CI:2.09-2.99, p < 0.001) and PFS (HR = 1.77, 95% CI:1.64-1.91, p < 0.001). Subgroup analyses stratified by study design (retrospective vs. prospective) and comparison of LIPI (1 vs. 0, 2 vs. 0, 1-2 vs. 0, 2 vs. 1 vs. 0, 2 vs. 0-1 and 2 vs. 1) showed similar results., Conclusion: LIPI could serve as a novel and reliable prognostic factor in NSCLC treated with ICIs, and elevated LIPI predicts worse prognosis., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Lei, Zheng, Yang, Luo, Li and Xie.)

Backgroud: The study aimed to analyze the efficacy and safety of PD-1 inhibitors plus chemotherapy with or without endostatin for stage IV lung squamous cell carcinoma (LUSC)., Methods: A total of 219 patients with stage IV LUSC were included. 120 received PD-1 inhibitors plus chemotherapy with or without endostatin (IC ± A), of which 39 received endostatin (IC+A) and 81 did not receive endostatin (IC-A). 99 received chemotherapy with or without endostatin (C ± A). Endpoints included overall survival (OS), progression-free survival (PFS), adverse events (AEs), and immune-related adverse events (irAEs)., Results: The median PFS in the IC ± A group versus the C ± A group was 8 and 4 months (P < 0.001), and the median OS was 17 and 9 months (P < 0.001). There was no significant difference in any grade AEs between the IC ± A and C ± A groups (P > 0.05). The median PFS in the IC+A group versus the IC-A group was 11 and 7 months (P = 0.024), and the median OS was 34 and 15 months (P = 0.01). There was no significant difference between the IC+A group and the IC-A group for all grade AEs and irAEs (P > 0.05). The subgroup analysis showed that patients with LIPI = 0 had significant OS and PFS benefits in IC+A group, while for patients with LIPI = 1-2, there was no significant difference in OS and PFS benefits between the IC+A group and IC-A group., Conclusions: PD-1 inhibitors plus chemotherapy with endostatin might be first-line treatment for patients with stage IV LUSC., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Lv, Wu, Gu, Du, Yao, Zhu, Zheng, Hong and Lai.)

Background: Lung immune prognostic index (LIPI) refers to a biomarker combining derived neutrophil-to-lymphocyte ratio (dNLR) and lactate dehydrogenase (LDH). Its prognostic effect on advanced small cell lung cancer (SCLC) patients receiving programmed cell death 1/programmed cell death ligand-1 (PD-1/PD-L1) inhibitors plus chemotherapy as first-line treatment remains unclear. Our research investigated the relationship between pretreatment LIPI and the prognosis of patients receiving first-line PD-1/PD-L1 inhibitors plus chemotherapy. Methods: Advanced SCLC patients receiving PD-1/PD-L1 inhibitors plus chemotherapy as first-line treatment from Jan 2015 to Oct 2020 were included. Based on the values of dNLR and LDH, the study population was divided into two groups: LIPI good and LIPI intermediate/poor. The Kaplan-Meier method was used to compute the median survival time and the log-rank test was used to compare the two groups. Univariate and multivariate analyses were used to examine the correlation between the pretreatment LIPI and clinical outcomes. Results: One hundred patients were included in this study, of which, 64% were LIPI good (dNLR < 4.0 and LDH < 283 U/L), 11% were LIPI poor (dNLR ≥ 4.0 and LDH ≥ 283 U/L), and the remaining 25% were LIPI intermediate. The LIPI good group had better progression-free survival (PFS) (median: 8.4 vs 4.7 months, p = 0.02) and overall survival (OS) (median: 23.8 vs 13.3 months, p = 0.0006) than the LIPI intermediate/poor group. Multivariate analysis showed that pretreatment LIPI intermediate/poor was an independent risk factor for OS (HR: 2.34; 95%CI, 1.13, 4.86; p = 0.02). Subgroup analysis showed that pretreatment LIPI good was associated with better PFS and OS in males, extensive disease (ED), PD-1 inhibitor treatment, smokers, and liver metastasis (p < 0.05). Conclusions: Pretreatment LIPI could serve as a prognostic biomarker for advanced SCLC patients receiving first-line PD-1/PD-L1 inhibitors plus chemotherapy. [ABSTRACT FROM AUTHOR]

Background: The lung immune prognostic index (LIPI) is recently developed to predict immune checkpoint inhibitors (ICIs) treatment outcomes for non-small cell lung cancer. However, its predictive value for other types of cancer remained unclear. This meta-analysis aimed to evaluate the association between pretreatment LIPI score and therapeutic outcomes in cancer patients treated with ICIs. Methods: We searched PubMed, Cochrane Library literature databases and EMBASE for abstracts and full-text articles published from the inception of the database until 16th, Nov 2020. Meta-analyses were performed separately for progression-free survival (PFS) and overall survival (OS) by using the random-effects model. Results: A total of 12 studies involving 4883 patients receiving ICIs treatment were identified for the primary analysis. The pooled results implied that compared with good LIPI score groups, patients with poor or intermediate LIPI score were significantly associated with worse OS (HR=3.33, 95%CI 2.64-4.21, P < 0.001, I2 = 64.2%; HR=1.71, 95%CI 1.43-2.04, P < 0.001, I2 = 43.6%, respectively) and PFS (HR=2.73,95%CI 2.00-3.73, P < 0.001, I2 = 78.2%; HR=1.43, 95%CI 1.28-1.61, P < 0.001, I2 = 16.3%, respectively). Also, for 1873 patients receiving chemotherapy, a poor LIPI score was significantly associated with worse OS (HR=2.30, 95%CI 1.73-3.07, P < 0.001; I2 = 56.2%) and PFS (HR=1.92,95%CI 1.69-2.17; P < 0.001; I2 = 0.0%) compared with good LIPI score groups. Conclusions: A good LIPI score was significantly correlated with improved OS and PFS in cancer patients receiving ICIs or chemotherapy, regardless of the types of cancer. [ABSTRACT FROM AUTHOR]

BackgroundLung immune prognostic index (LIPI) refers to a biomarker combining derived neutrophil-to-lymphocyte ratio (dNLR) and lactate dehydrogenase (LDH). Its prognostic effect on advanced small cell lung cancer (SCLC) patients receiving programmed cell death 1/programmed cell death ligand-1 (PD-1/PD-L1) inhibitors plus chemotherapy as first-line treatment remains unclear. Our research investigated the relationship between pretreatment LIPI and the prognosis of patients receiving first-line PD-1/PD-L1 inhibitors plus chemotherapy.MethodsAdvanced SCLC patients receiving PD-1/PD-L1 inhibitors plus chemotherapy as first-line treatment from Jan 2015 to Oct 2020 were included. Based on the values of dNLR and LDH, the study population was divided into two groups: LIPI good and LIPI intermediate/poor. The Kaplan-Meier method was used to compute the median survival time and the log-rank test was used to compare the two groups. Univariate and multivariate analyses were used to examine the correlation between the pretreatment LIPI and clinical outcomes.ResultsOne hundred patients were included in this study, of which, 64% were LIPI good (dNLR < 4.0 and LDH < 283 U/L), 11% were LIPI poor (dNLR ≥ 4.0 and LDH ≥ 283 U/L), and the remaining 25% were LIPI intermediate. The LIPI good group had better progression-free survival (PFS) (median: 8.4 vs 4.7 months, p = 0.02) and overall survival (OS) (median: 23.8 vs 13.3 months, p = 0.0006) than the LIPI intermediate/poor group. Multivariate analysis showed that pretreatment LIPI intermediate/poor was an independent risk factor for OS (HR: 2.34; 95%CI, 1.13, 4.86; p = 0.02). Subgroup analysis showed that pretreatment LIPI good was associated with better PFS and OS in males, extensive disease (ED), PD-1 inhibitor treatment, smokers, and liver metastasis (p < 0.05).ConclusionsPretreatment LIPI could serve as a prognostic biomarker for advanced SCLC patients receiving first-line PD-1/PD-L1 inhibitors plus chemotherapy.

BackgroundThe lung immune prognostic index (LIPI) is recently developed to predict immune checkpoint inhibitors (ICIs) treatment outcomes for non-small cell lung cancer. However, its predictive value for other types of cancer remained unclear. This meta-analysis aimed to evaluate the association between pretreatment LIPI score and therapeutic outcomes in cancer patients treated with ICIs.MethodsWe searched PubMed, Cochrane Library literature databases and EMBASE for abstracts and full-text articles published from the inception of the database until 16th, Nov 2020. Meta-analyses were performed separately for progression-free survival (PFS) and overall survival (OS) by using the random-effects model.ResultsA total of 12 studies involving 4883 patients receiving ICIs treatment were identified for the primary analysis. The pooled results implied that compared with good LIPI score groups, patients with poor or intermediate LIPI score were significantly associated with worse OS (HR=3.33, 95%CI 2.64-4.21, P < 0.001, I2 = 64.2%; HR=1.71, 95%CI 1.43-2.04, P < 0.001, I2 = 43.6%, respectively) and PFS (HR=2.73,95%CI 2.00-3.73, P < 0.001, I2 = 78.2%; HR=1.43, 95%CI 1.28-1.61, P < 0.001, I2 = 16.3%, respectively). Also, for 1873 patients receiving chemotherapy, a poor LIPI score was significantly associated with worse OS (HR=2.30, 95%CI 1.73-3.07, P < 0.001; I2 = 56.2%) and PFS (HR=1.92,95%CI 1.69-2.17; P < 0.001; I2 = 0.0%) compared with good LIPI score groups.ConclusionsA good LIPI score was significantly correlated with improved OS and PFS in cancer patients receiving ICIs or chemotherapy, regardless of the types of cancer.

Background: Our purpose was to evaluate the predictive value of the lung immune prognostic index (LIPI) in patients with advanced non-small cell lung cancer (NSCLC) receiving different treatments. Methods: A systemic literature search of major databases of medicine was performed to explore the association of LIPI with different therapeutic effects in patients with advanced NSCLC, with overall survival (OS) as the surrogate marker. As such, HR and 95% CI were simultaneously selected to evaluate such an association. Results: A total of 4 studies involving 7,373 patients reported an association of the LIPI score with OS in advanced NSCLC patients. Further sorted by therapeutic regimen, the numbers of patients receiving immune checkpoint inhibitors (ICI), targeted therapy (TT), and chemotherapy (CT) were 3,651, 1,241, and 2,481, respectively. Overall, the good and intermediate LIPI groups (HR = 1.61; 95% CI 1.48–1.75; p < 0.01) showed no heterogeneity (I2 = 0%; p = 0.521), whereas the good and poor LIPI groups (HR = 2.74; 95% CI 2.26–3.33; p < 0.01) had a high heterogeneity (I2 = 67.9%; p = 0.019). For ICI, CT, and TT, the good and intermediate LIPI groups exhibited an HR of 1.70 (95% CI 1.49–1.93; p < 0.01) with I2 = 0% (p = 0.521), an HR 1.49 (95% CI 1.32–1.67; p < 0.01) with I2 = 0% (p = 0.437), and an HR of 1.85 (95% CI 1.45–2.36; p < 0.01) with I2 = 0% (p = 0.382), respectively. The good and poor LIPI groups had an HR of 3.46 (95% CI 2.72–4.39; p < 0.01) with I2 = 51.7% (p = 0.126), an HR of 2.22 (95% CI 1.85–2.66; p < 0.01) with I2 = 20.3% (p = 0.286), and an HR of 3.32 (95% CI 2.53–4.36; p < 0.01) with I2 = 0% (p = 0.703), for ICI, CT, and TT, respectively. Conclusions: In addition to being a possible prognostic indicator for advanced NSCLC patients receiving ICI, CT or TT, the LIPI may be used to stratify patients in randomized studies. These findings are of great help in deciding on the therapeutic strategy, and more well-designed studies are warranted to further verify them. [ABSTRACT FROM AUTHOR]

• The baseline LIPI is a convenient and promising prognostic maker for patients with inoperable LA-NSCLC. • The baseline LIPI was correlated with overall survival, progression-free survival, and locoregional relapse-free survival in patients with inoperable LA-NSCLC. • The baseline LIPI might be used to guide clinical treatment decisions. Baseline lung immune prognostic index (LIPI) was reported as a potential predictive biomarker of immune checkpoint inhibitor treatment and a prognostic biomarker for metastatic non-small cell lung cancer (NSCLC). However, it remains unclear whether LIPI is associated with outcomes in locally advanced NSCLC (LA-NSCLC). Patients with LA-NSCLC receiving radiotherapy between 2000 to 2017 were retrospectively reviewed. Based on pretreatment dNLR and LDH level made up LIPI per previous publications, patients were divided into good group (0 score) and intermediate-poor group (1 or 2 scores). Propensity score matching (PSM) was conducted to balance confounding variables. A total of 1079 patients were eligible for analysis. Patients with intermediate-poor pretreatment LIPI had inferior overall survival (OS), progression-free survival (PFS), locoregional relapse-free survival (LRRFS), and distant metastasis-free survival (DMFS) than those with good LIPI. Multivariate analysis suggested that LIPI was an independent prognostic marker for OS (hazard ratio [HR] = 1.19, 95% CI: 1.02–1.40), PFS (HR = 1.18, 95% CI: 1.02–1.36), and LRRFS (HR = 1.22, 95% CI: 1.05–1.41) in patients with inoperable LA-NSCLC. PSM analysis further verified that intermediate-poor LIPI was an independent prognostic factor for shorter survivals (OS, PFS and LRRFS). LIPI is a simple and promising prognostic marker for patients with unresectable LA-NSCLC. Further prospected studies are warranted to validated these findings. [ABSTRACT FROM AUTHOR]

BackgroundLung immune prognostic index (LIPI) status was recently developed to predict responses to immune checkpoint inhibitor (ICI) treatments. However, it is unclear whether LIPI is a prognostic index for both patients treated with ICI monotherapy and patients treated with ICIs combined with chemotherapy (ICIs CC).MethodsThis retrospective study established the patterns of LIPI in Chinese patients with advanced non-small cell lung cancer. Lung immune prognostic index based on the derived neutrophil-to-lymphocyte ratio greater than 3 and lactate dehydrogenase greater than the upper limit of normal was developed to characterize good, intermediate, or poor LIPI status. Associations between LIPI status and progression-free survival (PFS) and overall survival (OS) were analyzed. Kaplan–Meier curves and Cox proportional hazards models were used to determine survival differences.ResultsThree hundred thirty patients were included in this study. Of these patients, 216 received ICI monotherapy and 114 received ICIs CC. A good LIPI status was associated with better PFS (6.1 months vs. 2.3 months vs. 2.1 months, P = 0.023) and OS (24.2 months vs. 14.5 months vs. 9.3 months, P < 0.001) in ICI monotherapy compared to intermediate or poor LIPI status. No differences in PFS (17.9 vs. 9.9 months vs. 7.6 months, P = 0.355, respectively) and OS (P = 0.346) were observed in patients who received ICIs CC. Moreover, we found that patients who had an improved LIPI status compared with the baseline value had a longer PFS with ICI monotherapy and LIPI intermediate status (8.4 months vs. 2.1 months vs. 1.4 months, P < 0.001). However, in patients treated with ICIs CC, these dynamic changes were not observed (P = 0.444).ConclusionsLung immune prognostic index status and dynamic changes in LIPI could be prognostic markers of treatment response to ICI monotherapy, but not to ICIs CC. In particular, good LIPI status was associated with a better clinical outcome compared with intermediate and poor LIPI status in ICI monotherapy treatment.

Combination therapy with immune checkpoint inhibitors and cytotoxic chemotherapies (chemoimmunotherapy) is associated with significantly better survival outcomes than cytotoxic chemotherapies alone in patients with advanced non-small cell lung cancer (NSCLC). However, there are no prognostic markers for chemoimmunotherapy. The prognostic nutritional index (PNI) and lung immune prognostic index (LIPI) are prognostic biomarkers for immune checkpoint inhibitor (ICI) monotherapy or cytotoxic chemotherapies. Thus, we aimed to examine whether these factors could also be prognostic markers for chemoimmunotherapy. We retrospectively examined 237 patients with advanced NSCLC treated with chemoimmunotherapy. In the total group, the median overall survival (OS) was not reached, and the median progression-free survival (PFS) was 8.6 months. Multivariate analysis of OS and PFS revealed significant differences based on PNI and LIPI. Programmed cell death ligand 1 (PD-L1) was also significantly associated with OS and PFS. PNI and a PD-L1 tumor proportion score (TPS) of

Background: Lung immune prognostic index (LIPI) status was recently developed to predict responses to immune checkpoint inhibitor (ICI) treatments. However, it is unclear whether LIPI is a prognostic index for both patients treated with ICI monotherapy and patients treated with ICIs combined with chemotherapy (ICIs CC). Methods: This retrospective study established the patterns of LIPI in Chinese patients with advanced non-small cell lung cancer. Lung immune prognostic index based on the derived neutrophil-to-lymphocyte ratio greater than 3 and lactate dehydrogenase greater than the upper limit of normal was developed to characterize good, intermediate, or poor LIPI status. Associations between LIPI status and progression-free survival (PFS) and overall survival (OS) were analyzed. Kaplan–Meier curves and Cox proportional hazards models were used to determine survival differences. Results: Three hundred thirty patients were included in this study. Of these patients, 216 received ICI monotherapy and 114 received ICIs CC. A good LIPI status was associated with better PFS (6.1 months vs. 2.3 months vs. 2.1 months, P = 0.023) and OS (24.2 months vs. 14.5 months vs. 9.3 months, P < 0.001) in ICI monotherapy compared to intermediate or poor LIPI status. No differences in PFS (17.9 vs. 9.9 months vs. 7.6 months, P = 0.355, respectively) and OS (P = 0.346) were observed in patients who received ICIs CC. Moreover, we found that patients who had an improved LIPI status compared with the baseline value had a longer PFS with ICI monotherapy and LIPI intermediate status (8.4 months vs. 2.1 months vs. 1.4 months, P < 0.001). However, in patients treated with ICIs CC, these dynamic changes were not observed (P = 0.444). Conclusions: Lung immune prognostic index status and dynamic changes in LIPI could be prognostic markers of treatment response to ICI monotherapy, but not to ICIs CC. In particular, good LIPI status was associated with a better clinical outcome compared with intermediate and poor LIPI status in ICI monotherapy treatment. [ABSTRACT FROM AUTHOR]

Background: The lung immune prognostic index (LIPI) is a marker that combines the derived neutrophil‐to‐lymphocyte ratio (dNLR) and serum lactate dehydrogenase (LDH) level and is a recently reported prognostic factor of immune checkpoint inhibitor therapy for non‐small cell lung cancer (NSCLC). However, there are no reports regarding the prognostic value of LIPI in small cell lung cancer (SCLC). Methods: We retrospectively enrolled 171 patients diagnosed with SCLC and treated at Shinshu University School of Medicine between January 2003 and November 2019. Progression‐free survival (PFS) and overall survival (OS) were compared according to LIPI, and we investigated whether LIPI could be a prognostic factor in SCLC using the Kaplan‐Meier method and univariate and multivariate Cox models. Results: The median OS of the LIPI 0 group was significantly longer than that of the LIPI 1 plus 2 group (21.0 vs. 11.6 months, P < 0.001). The multivariate analysis associated with OS indicated that LIPI 1 plus 2 was an independent unfavorable prognostic factor in addition to poor performance status (2–3), old age (≥ 75 years) and stage (extensive disease [ED]). However, PFS of the LIPI 0 group was not significantly different from that of the LIPI 1 plus 2 group. In ED‐SCLC patients, the median PFS and OS of the LIPI 0 group were significantly longer than those of the LIPI 2 group (6.6 vs. 4.0 months, P = 0.006 and 17.1 vs. 5.9 months, P < 0.001, respectively). Conclusions: We confirmed the prognostic value of LIPI in SCLC, especially ED‐SCLC. Key points: Significant findings of the study: The present study is the first to demonstrate that pretreatment lung immune prognostic index is an independent prognostic factor associated with overall survival for small cell lung cancer.What this study adds: The utility of the lung immune prognostic index as a prognostic factor for small cell lung cancer. [ABSTRACT FROM AUTHOR]

Background: The aim of this study was to explore whether the Lung Immune Prognostic Index (LIPI) is associated with clinical outcomes in patients with metastatic gastric cancer (MGC) treated with anti-PD-1 and chemotherapy. Methods: Patients with MGC treated with an anti-PD-1 therapy or chemotherapy were enrolled. This study was composed of two cohorts including 266 patients in the anti-PD-1-treated group and 139 patients in the chemotherapy-treated group. Results: Patients treated with anti-PD-1 therapy that also showed a good LIPI showed a longer median progression-free survival and median overall survival in patients with an intermediate or poor LIPI. These outcomes were not observed in the chemotherapy cohort. Conclusion: Good LIPI correlated with better outcomes for patients with MGC in the anti-PD-1-treated group but not in the chemotherapy-treated group.

Objective: The systemic inflammatory response (SIR) is known as an important factor associated with tumorigenesis and tumor progression, and can be reflected by inflammatory markers. One of the markers that reflect this is the lung immune prognostic index (LIPI). It is based on a derived neutrophil-to-lymphocyte ratio (dNLR) and lactate dehydrogenase (LDH) level. We aimed to investigate the significance of LIPI in locally advanced rectal cancer (LARC) patients treated with neoadjuvant chemoradiotherapy (NACRT)., Methods: In this retrospective study, we stratified the patients according to LIPI score as good LIPI and intermediate (int)/poor LIPI. According to pathological response to NACRT, we divided the patients into two groups as those with complete response (CR) or near-CR, and those with partial response (PR) or poor/no response. We classified CR and near-CR as good response. We evaluated the predictive and prognostic significance of LIPI for NACRT response, disease-free survival (DFS), and overall survival (OS) by univariate and multivariate analyses., Results: We included 137 patients in the results, with 72 (52.6%) having good LIPI and 65 (47.4%) having int/poor LIPI. The median follow-up period was 44.7 months (range: 10-105 months). Thirteen patients (18.0%) in the good LIPI group and 22 patients (34.0%) in the int/poor LIPI group achieved good response. In multivariate analysis, we found only the LIPI score as an independent risk factor (hazard ratio (HR): 2.4, p = 0.04) for NACRT response. Median DFS was 89.2 months (95% CI: 11.4-167.0) in the int/poor LIPI group; however, the DFS of all study populations and patients in the good LIPI group did not reach the median value. In multivariate analysis for DFS, we identified abdominoperineal resection (APR) (HR: 2.21, p = 0.02), presence of tumor deposit (HR: 2.96, p = 0.003), and int/poor LIPI score (HR: 2.07, p = 0.02) as separate risk variables. OS of all study populations and the patients in the LIPI groups did not reach the median value. In multivariate analysis for OS, we identified APR (HR: 2.74, p = 0.02), surgical margin positivity (HR: 12.94, p < 0.001), and adjuvant CT (HR: 0.20, p = 0.002) as separate risk variables for OS., Conclusion: This is the first study investigating the predictive and prognostic significance of LIPI in LARC patients treated with NACRT. The results revealed that int/poor LIPI was associated with a higher rate of good response but shorter DFS compared to good LIPI. The baseline LIPI score serves as an easily accessible and useful prognostic index, and it has significant potential for making appropriate treatment decisions in LARC., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Arıkan et al.)

Background: Inflammation is a factor that promotes tumor progression and immunosuppression. Lung immune prognostic index (LIPI) is a non-invasive and easily calculated indicator of inflammation. This study aimed to investigate whether continuous assessment of LIPI has predictive value for chemoimmunotherapy in non-small cell lung cancer (NSCLC) patients receiving first-line programmed cell death 1 (PD-1) inhibitor plus chemotherapy. In addition, the predictive value of LIPI in patients with the negative or low programmed death-ligand (PD-L1) expression level was also explored., Methods: Totally, 146 stage IIIB to IV or recurrent NSCLC patients who received first-line PD-1 inhibitor combined with chemotherapy were enrolled in this study. The LIPI scores were calculated at baseline (PRE-LIPI) and after two cycles of the combined administration (POST-LIPI). This study analyzed the relationship between good/intermediate/poor PRE (POST)-LIPI and objective response rate (ORR), as well as progression-free survival (PFS) using logistic and Cox regression models. In addition, the predictive value of LIPI in patients with the negative or low PD-L1 expression level was explored. To further assess the potential predictive value of continuous assessment of LIPI, the association of sum (LIPI) [sum(LIPI) = PRE-LIPI + POST-LIPI] and PFS was analyzed in the 146 patients., Results: Compared with good POST-LIPI group, significantly lower ORRs were found in intermediate POST-LIPI (P = 0.005) and poor POST-LIPI (P = 0.018) groups. Moreover, intermediate POST-LIPI (P =0.003) and poor POST-LIPI (P < 0.001) were significantly associated with a shorter PFS than good POST-LIPI. Additionally, a higher POST-LIPI score was still significantly associated with poorer treatment efficacy in patients with the negative or low PD-L1 expression level. Moreover, a higher sum (LIPI) score was significantly correlated with a shorter PFS (P = 0.001)., Conclusion: Continuous assessment of LIPI might be an effective method for predicting the efficacy of PD-1 inhibitor plus chemotherapy in NSCLC patients. In addition, in patients with the negative or low PD-L1 expression level, it might also have a potential predictive value for therapeutic efficacy to continuously assess LIPI during the treatment., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Xiong, Xu, Wang, Zhong, Lu, Chu, Zhang, Li, Zheng, Han, Nie, Zhong and Zhang.)

Background: Lung immune prognostic index (LIPI), a combination of derived neutrophil-to-lymphocyte ratio (dNLR) and lactate dehydrogenase (LDH), is currently attracting considerable interest as a potential prognostic indicator in many malignancies. Our study aimed to investigate the prognostic value of preoperative LIPI in patients with pancreatic ductal adenocarcinoma (PDAC) undergoing radical resection., Methods: We retrospectively reviewed PDAC patients treated with radical resection from February 2019 to April 2021 at Chinese People's Liberation Army (PLA) general hospital. Based on the cut-off value of dNLR and LDH identified by X-tile, patients were divided into LIPI good and LIPI intermediate/poor group. Kaplan-Meier curve and log-rank test were used to compare the recurrence-free survival (RFS) and overall survival (OS) of the two groups. Univariate and multivariate Cox regression was used to identify the independent prognostic value of LIPI. Subgroup analysis was performed to identify specific population benefited from radical resection., Results: A total of 205 patients were included and the median RFS and OS was 10.8 and 24.3 months, respectively. Preoperative LIPI intermediate/poor was related to worse RFS and OS ( p  < 0.05). Preoperative LIPI intermediate/poor, vascular invasion and no adjuvant chemotherapy were indicators of poor OS. Patients with LIPI intermediate/poor had worse OS especially among females and those with adjuvant chemotherapy ( p  < 0.05). Adjuvant chemotherapy related to better RFS and OS in patients with LIPI good ( p  < 0.05)., Conclusions: Preoperative LIPI intermediate/poor can be an indicator of poor prognosis in patients with PDAC undergoing radical resection. LIPI good could be an effective marker of benefit from adjuvant chemotherapy. Larger studies are warranted for further validation., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Zhou, Deng, Wang and Dai.)

Background: This study retrospectively analyzed the application value of lung cancer immunotherapy prognostic index (LIPI) and iSEND immune scoring system in advanced non-small cell lung cancer (NSCLC) patients treated with immunotherapy in China, in order to find guidance for clinical development of NSCLC treatment plan., Methods: The clinical data of 178 patients with advanced NSCLC treated with immunotherapy were analyzed retrospectively. LIPI and iSEND immune scores were performed, receiver operating characteristic (ROC) curves were drawn, and the predictive values of two models for objective response rate (ORR), disease control rate (DCR), and progression-free survival (PFS) were compared. Kaplan-Meier method was used for survival analysis, and Cox regression analysis method was used for univariate analysis and multivariate analysis., Results: The area under the curver (AUC) of ORR, DCR and PFS predicted by iSEND immune score were 0.616, 0.634 and 0.631 respectively; LIPI were 0.789, 0.750 and 0.732 respectively, which were higher than iSEND immune score (P<0.05). The median PFS of patients in LIPI score groups 0, 1 and 2 were 9.9 months, 6.1 mon and 3.7 mon respectively; The median PFS of patients with good, moderate and poor iSEND immune scores were 9.9 mon, 7.0 mon and 3.5 mon respectively, with statistically significant differences (P<0.001). In the immunotherapy subgroup, the median PFS of patients with different LIPI and iSEND immune scores was also statistically significant. Cox regression analysis showed that the derived neutrophil to lymphocyte ratio (dNLR), lactic dehydrogenase (LDH) and PFS were independently correlated (P<0.05)., Conclusions: LIPI and iSEND immune scoring system can effectively predict the efficacy and prognosis of advanced NSCLC treated with immunotherapy, and LIPI has higher predictive value than iSEND immune scoring system.

Purpose: Osteosarcoma is the most common primary malignancy of bone with a dismal prognosis for patients with pulmonary metastases. Evaluation of osteosarcoma prognosis would facilitate the prognosis consultation as well as the development of personalized treatment decisions. However, there is limited effective prognostic predictor at present. Lung Immune Prognostic Index (LIPI) is a novel prognostic factor in pulmonary cancers, whereas, the prognostic significance of LIPI in osteosarcoma has not yet been well clarified. In this study, we firstly explore the prognostic role of LIPI and further modify this predictive model in osteosarcoma. Patients and methods: A retrospectively study was conducted at Musculoskeletal Tumor Center of West China Hospital between January 2016 and January 2021. Hematological factors and clinical features of osteosarcoma patients were collected and analyzed. The area under curve (AUC) and optimal cuff-off of each single hematological factor was calculated. Results: In this study, lactate dehydrogenase (LDH), derived neurtrophil to lymphocyte ratio (dNLR), and Hydroxybutyrate dehydrogenase (HBDH) have higher AUC values. LIPI was composed of LDH and dNLR and was further modified by combing the HBDH, forming the osteosarcoma immune prognostic index (OIPI). OIPI divided 223 osteosarcoma patients divided into four groups, none, light, moderate, and severe ( p < 0.0001). OIPI has a higher AUC value than LIPI and other hematological indexes in t-ROC curve. According to the univariate and multivariate analysis, pathological fracture, metastasis, NLR, platelet-lymphocyte ratio (PLR), and OIPI were associated with the prognosis; and metastasis and OIPI were independent prognostic factors of osteosarcoma patients. An OIPI-based nomogram was also established and could predict the 3-year and 5-year overall survival. In addition, OIPI was also revealed correlated with metastasis and pathological fracture in osteosarcoma. Conclusion: This study first explore the prognostic significance of LIPI in osteosarcoma patients. In addition, we developed a modified LIPI, the OIPI, for osteosarcoma patients. Both the LIPI and OIPI could predict the overall survival of osteosarcoma patients well, while OIPI may be more suitable for osteosarcoma patients. In particular, OIPI may have the ability to identify some high-risk patients from clinically low-risk patients., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 He, Tang, Zou, Li, Wang, Kenmegne, Zhou, Lu, Min, Luo and Tu.)

Objective: To investigate the effects of derived neutrophil to lymphocyte ratio (dNLR) and lung immune prognostic index (LIPI) score on the overall survival (OS) of non-surgical elderly non-small cell lung cancer (NSCLC) patients. Methods: Clinical and pathological data of NSCLC patients in Hebei General Hospital from January 2014 to June 2018 were collected retrospectively. The dNLR value was calculated based on the results of blood routine before treatment, and the optimal cut-off value of dNLR was obtained by ROC curve. The patients were divided into low dNLR level group and high dNLR level group based on the optimal dNLR cut-off value. The groups were classified as good, intermediate and poor based on the LIPI score consisting of lactate dehydrogenase (LDH) and dNLR tested before treatment. The Kaplan-Meier method and Log rank test were used for survival analysis, and the Cox risk proportional regression model was used for analysis of prognostic influences. Results: The area under the ROC curve for dNLR predicting prognosis in non-surgical elderly NSCLC patients was 0.591 (95% CI: 0.491, 0.692; P =0.093). The optimal cut-off value for dNLR predicting prognosis in elderly NSCLC patients was 2.515, with a sensitivity of 45.5% and a specificity of 81.8%. The gender, BMI, pathological type and degree of tumor differentiation were associated with dNLR levels ( P <0.05). The median survival times were 16 and 10 months for patients in the low dNLR level group (dNLR<2.51) and high dNLR level group (dNLR≥2.51), respectively ( P <0.001), and 15, 10 and 6 months for patients with good, intermediate and poor LIPI scores, respectively ( P <0.001). The age, gender, smoking, pathological type, tumor differentiation, clinical stage, BMI, dNLR level, LDH level and LIPI scores were all associated with patient prognosis ( P <0.05), and age≥76 years, tumor differentiation and clinical stage Ⅲ and Ⅳ were independent factors influencing patient prognosis ( P <0.05). Conclusion: No matter what treatment measures are taken, dNLR level and LIPI score are related to patients' prognosis, and non-surgical elderly NSCLC patients with high dNLR level and poor LIPI score before treatment have worse prognoses.

Combination therapy with immune checkpoint inhibitors and cytotoxic chemotherapies (chemoimmunotherapy) is associated with significantly better survival outcomes than cytotoxic chemotherapies alone in patients with advanced non-small cell lung cancer (NSCLC). However, there are no prognostic markers for chemoimmunotherapy. The prognostic nutritional index (PNI) and lung immune prognostic index (LIPI) are prognostic biomarkers for immune checkpoint inhibitor (ICI) monotherapy or cytotoxic chemotherapies. Thus, we aimed to examine whether these factors could also be prognostic markers for chemoimmunotherapy. We retrospectively examined 237 patients with advanced NSCLC treated with chemoimmunotherapy. In the total group, the median overall survival (OS) was not reached, and the median progression-free survival (PFS) was 8.6 months. Multivariate analysis of OS and PFS revealed significant differences based on PNI and LIPI. Programmed cell death ligand 1 (PD-L1) was also significantly associated with OS and PFS. PNI and a PD-L1 tumor proportion score (TPS) of <50% and poor LIPI (regardless of PD-L1 TPS) were associated with poor prognosis. PNI and LIPI predicted survival outcomes in patients with advanced NSCLC treated with chemoimmunotherapy, especially in patients with PD-L1 TPS <50%. For patients in this poor category, chemoimmunotherapy may result in a worse prognosis than expected. [ABSTRACT FROM AUTHOR]