Inflammation-based hematologic indices and overall survival in poorly differentiated thyroid carcinoma: a retrospective exploratory study.

e15575 Background: Increasing study indicates that inflammatory biomarkers play a important role in predicting prognosis and therapeutic effect in esophageal squamous cell carcinoma. This research is designed to evaluate prognostic value of inflammatory biomarkers at baseline including neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio (PLR), prognostic nutritional index (PNI) and fibrinogen to Albumin ratio (FAR) and the association between inflammatory biomarkers at baseline and symptomatic radiation pneumonitis in patients with esophageal squamous cell carcinoma (ESCC) treated with definitive chemoradiotherapy. Methods: Patients with ESCC treated with definitive chemoradiotherapy from 2011 to 2015 were enrolled retrospectively. The operating characteristic analysis was used to determine optimal cut-off values of NLR, dNLR, MLR and PLR. The Kaplan-Meier method with a log-rank test and Cox regression model were used to evaluate the prognostic role of these biomarkers and the logistic regression was performed to investigate the association berween NLR and radiation pneumonitis. Results: 311 patients were included with a median follow-up of 24 months. The three-year survival rate is 24.12%. The optimal cut-of values of NLR, dNLR, MLR, PLR were 2.77, 1.70, 0.5 and 168.35, respectively. Univariate analysis revealed that tumor length, smoking and drinking status, performance status, tumor stage, tumor location, albumin level, NLR, dNLR, MLR, PLR, PNI, and FAR were significantly associated with progression-free survival (PFS) and overall survival (OS) (p < 0.05), but only tumor length, smoking status, performance status, tumor stage, dNLR and PLR were independent predictors of PFS and OS in multivariate model. Compared with separate marker, the prognostic predictive value of combined dNLR and PLR (coPLR-dNLR) was increased, and it was also a prognostic indicator when patients were stratified into early and advanced TNM stage. None of inflammatory biomarkers was significantly associated with symptomatic radiation pneumonitis in univariate and multivariate analysis. Conclusions: dNLR and PLR were powerful biomarker to predict prognosis in patients with esophageal squamous cell carcinoma treated with definitive chemoradiotherapy, however inflammatory biomarkers could not predict the occurrence of symptomatic radiation pneumonitis.

ObjectiveThis study evaluated the prognostic significance of preoperative neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and tumor-infiltrating lymphocytes (TILs), and whether these preoperative blood inflammatory indicators were associated with TILs in hilar cholangiocarcinoma (HCCA).MethodsA total of 76 patients with HCCA who underwent radical resection were included. Data on their clinicopathologic characteristics, perioperative features, and survival outcomes were analyzed. The optimal cutoff levels for the NLR, PLR and LMR were defined by using the web application Cut-off Finder. The densities of specific immune cells (CD3+, CD4+, CD8+) within the tumor microenvironment were examined by immunohistochemical. The association of the number of CD3+, CD4+ and CD8+ T cells infiltration in the local tumor microenvironment with preoperative NLR, PLR and LMR level was analyzed. Survival curves were calculated using the Kaplan–Meier estimate. Univariate and multivariate logistic regression models were used to identify factors associated with overall survival.ResultsThe optimal cutoff value of preoperative NLR, PLR and LMR was 2.00, 117.60, and 4.02, respectively. NLR was significantly negatively correlated with CD3+ and CD8+ T cell infiltration, but not with CD4+ T cells. PLR had no correlation with CD3+, CD4+, or CD8+ T cell infiltration, while LMR had a significantly positive correlation with CD3+ T cells infiltration but not with CD4+ or CD8+ T cells. In the multivariate logistic regression model, T stage, lymph node metastasis, CA19-9 and LMR were independent risk factors associated with overall survival (OS). Survival curves indicated that HCCA patients with low CD3+ T cells infiltration and low preoperative LMR live shorter than others.ConclusionsLMR played as an independent factor for predicting the survival in patients with HCCA after R0 radical resection. A high LMR was associated with an accumulation of CD3+ T cells in HCCA.

Currently, there is no single validated biomarker which can prognosticate survival in patients with stage IV non-small cell lung cancer (NSCLC). This study examines the prognostic significance of four biomarkers: neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio (PLR) and advanced lung cancer inflammation index (ALI) in patients with stage IV NSCLC. This study aimed to establish the relationship between NLR, LMR, PLR, ALI and overall survival (OS) at baseline and post first cycle of treatment using Cox univariate PH models. We also studied these biomarkers in the elderly (age ≥70 years). Clinical data was sourced from Calvary Mater Newcastle between 2010 and 2015. Baseline NLR, PLR, LMR and ALI showed strong association with OS. Five unit increase in NLR and PLR was associated with an 11% and 0.5% increase in the hazard of death respectively while 1 unit increase in ALI resulted in 4% increase in hazard of death. Five unit increase in LMR was associated with a 50% reduction in hazard of death. Post-treatment NLR and low ALI correlated with shorter OS but no statistically significant relationship could be demonstrated for PLR nor LMR. Similar prognostic trends were noted for elderly. High NLR, high PLR, low LMR and low ALI at baseline are significantly associated with poor OS. High NLR and low ALI are significantly associated with poor OS post treatment. Findings are similar regardless of age.

Purpose: To evaluate the prognostic potential of inflammatory response biomarkers neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) in predicting the outcome of rectal cancer patients undergoing neoadjuvant chemoradiation prior to surgery. Methods: Retrospective review of T3/T4, or N+ rectal cancer treated with neoadjuvant chemoradiation 50.4 Gy concurrently with either 5 FU (1 g/m2/d) or Capecitabine 825 mg/m2 twice daily. Four additional cycles of 5-FU chemotherapy (500 mg/m2/d, i.v. bolus) or capecitabine (2500 mg/m2 days 1-14, repeated day 22), were applied post-operatively. Pre-treatment NLR, dNLR, PLR and LMR calculated from peripheral blood cell were compared with clinicopathological parameters. The prognostic value of baseline NLR, dNLR, PLR and LMR for disease free survival (DFS) and overall survival (OS) were assessed using Log rank and Cox regression. Results: The final analysis included 80 patients, the receiver operating curve (ROC) calculated cut off values of baseline NLR, dNLR, LMR and PLR in predicting outcome were 3, 2.1, 4.9 and 169 respectively. Elevated NLR, dNLR, PLR, LMR, age of patients (≥50 years), depth of invasion ≥T3, lymph node N1-N2, stage III, grade 3 tumors, and partial response to preoperative chemoradiation were significantly associated with decreased OS, and DFS. Multivariate analysis revealed that elevated NLR and dNLR were independent Powered by Editorial Manager® and ProduXion Manager® from Aries Systems Corporation factors for worse OS and DFS hazard ratio (HR) 2.34 (95% CI=3.41-7.24), 4.53 (95% CI, 2.61-8.32) and DSF with (HR) 1.84 (95% CI=2.27-5.36), 4.23 (95% CI=3.49-9.52) respectively. Conclusion: The baseline NLR, dNLR, LMR and PLR showed a significant association with different clinicopathological prognostic factors in rectal cancer patients receiving preoperative chemoradiation. Additionally, NLR, dNLR may be considered as potential independent prognostic indicators of clinical outcomes.

Purpose: To evaluate the prognostic potential of inflammatory response biomarkers neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) in predicting the outcome of gastric cancer patients undergoing neoadjuvant chemoradiation prior to surgical resection. Methods: Patients with localized, gastric adenocarcinoma received two cycles of induction chemotherapy of fluorouracil, docetaxel, and cisplatin (TPF) followed by 45 Gy of radiation and concurrent fluorouracil plus docetaxel then surgery for non-metastatic patients. Baseline NLR, dNLR, PLR and LMR calculated from peripheral blood cell count taken at pre-operation were compared with clinicopathological parameters. The prognostic value of baseline NLR, dNLR, PLR and LMR for disease free survival (DFS) and overall survival (OS) were assessed using Log rank and Cox regression. Results: The final analysis included 80 patient who had resection after neoadjuvant chemoradiation. The receiver operating curve (ROC) cut off values of baseline NLR, dNLR, LMR and PLR in predicting outcome were 2.4, 1.7, 5.1 and 130 respectively. Elevated NLR, dNLR, PLR, LMR, age of patients (≥ 50 years), stage III, grade 3 tumors, R1 resection and partial response to preoperative chemoradiation course with >10% residual tumor were significantly associated with decreased OS, and DFS. Multivariate analysis revealed that elevated NLR and dNLR were independent factors for worse OS and DFS hazard ratio (HR) 2.04 (95% CI=2.41-8.24), 6.63 (95% CI, 1.61- 10.32) and DSF with (HR) 1.84 (95% CI=3.27-7.36), 4.63 (95% CI=3.61-12.12) respectively. Conclusion: The baseline NLR, dNLR, LMR and PLR showed a significant association with different clinicopathological prognostic factors in gastric cancer patients receiving preoperative chemoradiation. Additionally, NLR, dNLR may be considered as potential independent prognostic indicators of clinical outcomes in this group of patients.

We preliminarily established the reference intervals for the systemic immune-inflammation index (SII), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) in healthy adults in Jiangsu region in Eastern China to guide the interpretation and application of these indicators in clinical practice. In total, 29,947 ostensibly healthy subjects from December 2020 to March 2021 were included in this study. The distributions of the SII, NLR, PLR, and LMR were analyzed using the Kolmogorov-Smirnov test. According to the C28-A3 guidelines, the 2.5th and 97.5th percentiles (P2.5 to P97.5) of the SII, NLR, PLR, and LMR were used to establish the reference intervals based on nonparametric methods. All SII, NLR, PLR, and LMR data were non-normally distributed. The levels of the SII, NLR, PLR, and LMR in healthy adults were significantly different between males and females (all p < 0.05). However, there were no significant differences in the SII, NLR, PLR or LMR among the different age groups, regardless of gender (all p > 0.05). Therefore, the reference intervals for the SII, NLR, PLR, and LMR were established based on the Sysmex testing platform for males (162 × 109/L - 811 × 109/L; 0.89 - 3.26; 63.15 - 191.34; 3.18 - 9.61) and females (165 × 109/L - 792 × 109/L; 0.87 - 3.16; 69.04 - 205.62; 3.46 - 10.96). We have established the reference intervals for SII, NLR, PLR, and LMR in healthy adults based on the Sysmex detection platform and large sample size, which may provide important guidance for its clinical application.

Background: The prognostic significance of preoperative neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), and platelet to lymphocyte ratio (PLR) have been demonstrated in various tumors. This study aimed to evaluate the prognostic role of these ratios in pediatric medulloblastoma.Materials and Methods: Forty-three pediatric patients with medulloblastoma were evaluated, retrospectively. Clinical, radiological, and laboratory data were extracted from the electronic medical records of the patients. Univariate and multivariate Cox proportional hazard models were used to evaluate the impact of suggested variables, including NLR, LMR, and PLR on progression-free survival (PFS) and overall survival (OS). Kaplan-Meier curves were plotted for the assessment of PFS and OS. The Log-rank test was used to assess differences between the PFS and OS in the related categories. Results: There were 27 males (62.8%) and 16 females (37.2%) with a mean age of 7.4 ±3.3 years. The median OS and PFS were 62.8 ±17.2 and 43.3 ±15.6 months, respectively. The multivariate Cox model showed the clinical risk group, NLR, and LMR as independent predictors of the PFS and the OS (p<0.05). The Log-rank test revealed that OS and PFS were higher in patients with NLR <4 and those with LMR ≥ 3.48 (p <0.05). There were no differences between patients with PLR>200 and PLR< 200 based on OS and PFS. Conclusion: Our results suggest an elevated preoperative NLR and a lowered preoperative LMR as simple predictors of survival in pediatric medulloblastoma. These cost-effective and easily available ratios, along with previously established variables, could be valuable to predict survival in pediatrics with medulloblastoma.

Inflammation-based indexes such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation indexes (SII) have been reported to be associated with prognosis in cancer patients.The aim of this study was to estimate the prognostic significance of inflammation-based indexes such as NLR, PLR, LMR, and SII in stage III/IV colorectal cancer (CRC) patients undertaking adjuvant chemoradiotherapy (CRT).Two hundred twenty stage III/IV CRC patients were enrolled in this study. Inflammatory indexes were defined as follows: NLR = absolute neutrophil counts/absolute lymphocyte counts; PLR = absolute platelet counts/absolute lymphocyte counts; LMR = absolute lymphocyte counts/absolute monocyte counts; SII = absolute neutrophil counts × absolute platelet counts/absolute lymphocyte counts. The correlations between indexes and prognosis were evaluated using the Cox proportional hazard model.The results of univariate analysis demonstrated that NLR, PLR, and SII were significantly associated with progression-free survival (PFS) and overall survival (OS). Multivariate analysis showed that SII (P = .030) was an independent predictor of PFS, and NLR (P = .047) was an independent prognostic factor of OS.Those inflammation-based indexes could provide a convenient and secure method to predict the outcomes of stage III/IV CRC patients receiving adjuvant CRT.

BackgroundPeriprosthetic joint infection (PJI) is a severe complication that can occur after total joint arthroplasty (TJA). The timely and accurate diagnosis of PJI is the key to treatment. This study investigated the diagnostic value of platelet to lymphocyte ratio (PLR), platelet count to mean platelet volume ratio (PVR), neutrophil to lymphocyte ratio (NLR) and monocyte to lymphocyte ratio (MLR) in PJI after total knee arthroplasty (TKA) and total hip arthroplasty (THA).MethodsWe performed a retrospective analysis of the patients who underwent revision hip or knee arthroplasty at our Institute between June 2015 and June 2020. Of the 187 patients reviewed, 168 were included in the study. According to the diagnostic criteria of the Musculoskeletal Infection Society (MSIS), 58 patients were in the PJI group, and 110 patients were in the aseptic loosening (AL) group. We recorded and compared the preoperative peripheral blood white blood cell (WBC) count, platelet count (PLT), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), PLR, PVR, NLR, and MLR in both groups. The diagnostic performance of the WBC, PLT, PLR, PVR, NLR, and MLR individually and in combination with the ESR and CRP for PJI diagnosis was evaluated by receiver operating characteristic (ROC) curves, and the sensitivity, specificity, positive predictive value, and negative predictive value were calculated.ResultsCompared to those in the AL group, the mean WBC, PLT, ESR, CRP, PLR, PVR, NLR, and MLR in the peripheral blood of the PJI group were significantly greater (P < 0.05). The analysis of the ROC curve revealed that the ESR, CRP, PLR, PVR, NLR, and MLR in peripheral blood had moderate effectiveness in diagnosing PJI, with area under the curve (AUC) values of 0.760 (95% CI: 0.688–0.823), 0.758 (95% CI: 0.687–0.821), 0.714 (95% CI: 0.639–0.781), 0.709 (95% CI: 0.634–0.777), 0.723 (95% CI: 0.649–0.789), and 0.728 (95% CI: 0.654–0.793), respectively. Conversely, the WBC and PLT counts demonstrated poor diagnostic value for PJI, with AUC values of 0.578 (95% CI: 0.499–0.653) and 0.694 (95% CI: 0.619–0.763), respectively. The results of the prediction model calculations revealed that the combined AUC of the WBC, PLT, ESR, CRP, PLR, PVR, NLR, and MLR was the highest at 0.853 (95% CI, 0.790–0.909), indicating good value in the diagnosis of PJI, with a sensitivity of 82.8% and a specificity of 72.7%. Moreover, the novel composite of parameters improved the accuracy and reliability in diagnosing PJI compared to the traditional biomarkers ESR and CRP (P = 0.015).ConclusionOur study suggested that the diagnostic value of the peripheral blood biomarkers PLR, PVR, NLR, and MLR for diagnosing PJI is limited and not superior to that of the ESR or CRP. However, when the WBC, PLT, ESR, CRP, PLR, PVR, NLR, and MLR are combined, the diagnostic performance of PJI in TJA patients can be improved.

5069 Background: Prognostic association of serological markers of systemic inflammatory response have been demonstrated in metastatic castrate resistant prostate cancer. However, it remains unknown whether dynamic changes in these markers over time are prognostic earlier in the disease process, namely in metastatic hormone sensitive prostate cancer (mHSPC). We performed a secondary analysis of LATITUDE trial to determine if dynamic changes in hemoglobin (Hb), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) are predictive of prostate cancer-specific survival (PCSS), and overall survival (OS). Methods: We used a joint model approach to determine the association of the dynamic change in the marker levels with PCSS, and OS. For the time-to-event submodel, a multivariable Cox regression model was constructed with treatment arm, skeletal lesion number, liver or lung metastasis, ECOG performance status, and age. For the longitudinal submodel, a linear mixed-effects model was built with an interaction term for treatment arm and time of evaluation in addition to treatment arm, time of evaluation, and baseline value of the serological markers. The two submodels were linked through a shared random effect. Results: Overall 1172 patients were eligible - 580 from the abiraterone plus ADT arm and 592 from the ADT alone group. Median follow-up for surviving patients was 52 months (IQR 47-57). Median number of post-baseline assessments was 16 (IQR 10-28). On univariate joint models, every 10 g/L dynamic increase in Hb was associated with superior PCSS (HR 0.71 [0.67-0.75]) and OS (HR 0.74 [0.68-0.79]) while every 5 points dynamic increase in LMR was associated with a superior PCSS (HR 0.38 [0.26-0.53]) and OS (HR 0.41 [0.29-0.56]). In contrast, dynamic increase in NLR was associated with inferior PCSS (HR 1.29 [1.22-1.36]) and OS (HR 1.29 [1.23-1.36]) while every 10-point dynamic increase in PLR was associated with a small but significant deterioration in PCSS (HR 1.05 [1.04-1.06]) and OS (HR 1.05 [1.04-1.06]), respectively. On multivariate joint modeling, dynamic increase in Hb was also associated with superior PCSS (HR per 10g/L increase 0.74 [0.69-0.79]) and OS (HR per 10g/L rise 0.75 [0.71-0.80]). When dynamic changes in Hb, LMR, NLR, and PLR were included in the same multivariate model with dynamic change in PSA, dynamic increase in Hb continued to show association with significantly superior PCSS (HR per 10g/L rise 0.80 [0.75-0.86]), and OS (HR per 10g/L rise 0.81 [0.75-0.86]), respectively. Conclusions: Our findings suggest that dynamic increase in hemoglobin can predict for superior PCSS, and OS in men with de novo mHSPC treated with ADT with or without abiraterone. These findings need additional validation before implementing routine use of hemoglobin as a prognostic biomarker in de novo mHSPC.

The objective of this study was to investigate the prognostic role of three inflammatory markers: the neutrophil to lymphocyte ratio (NLR), the lymphocyte to monocyte ratio (LMR), and the platelet to lymphocyte ratio (PLR) as prognostic indicators in squamous cell carcinoma of the head and neck (HNSCC). Patients with HNSCC treated with primary surgery, with or without adjuvant radiochemotherapy were enrolled. The preoperative NLR, LMR, and PLR were recorded. Confounding variables were also recorded: age, sex, BMI, comorbidities, performance status, AJCC T and N stage and HPV status. Endpoints were overall survival (OS) and event-free survival (EFS). Survival analysis was performed using Kaplan-Meier analysis, and multivariable analysis was performed using Cox proportional hazards regression. Survival models were evaluated using Harrell's concordance index (c-index). NLR (p = 0.2413), PLR (p = 0.1593), and LMR (p = 0.0552) were not significantly associated with OS in the multivariable analysis. With regard to EFS, low LMR (HR = 2.95, 95% CI 1.54-5.65, p = 0.001), high PLR (HR = 2.68, 95% CI 1.42-5.09, p = 0.003), and high NLR (HR = 3.37, 95% CI 1.7-6.69, p < 0.001) were associated with EFS. The multivariable c-index was highest for LMR (0.762), followed by NLR (0.761) and PLR (0.739). The LMR, PLR, and NLR were not associated with OS, but were associated with EFS in HNSCC. These markers are easily obtainable, and in the age of individualized patient care and precision medicine, they might represent further risk stratification tools for HNSCC patients.

390 Background: Neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) have been explored as biomarkers for response to IO. We investigated the association between these biomarkers and clinical outcomes in urothelial cancer pts treated with IO. Methods: We conducted a retrospective review of 67 urothelial cancer pts treated with PD-1 or PD-L1 inhibitors at Winship Cancer Institute from 2015-2018. Overall survival (OS) and progression free survival (PFS) were measured from first dose of IO to date of death or hospice referral and clinical or radiographic progression, respectively. MLR, NLR, and PLR were collected at C1 and C3. The nonlinear relationship between log-transformed biomarkers and OS or PFS was examined by martingale residual plot and optimal cutoff (OC) values were determined. Multivariable analysis (MVA) used Cox proportional hazard model. Results: OC for C1 and C3 NLR, MLR, and PLR were 2.06 and 1.42, -0.331 and -0.153, and 5.7 and 5.6, respectively. Pts with C1 NLR and PLR above OC had worse OS and shorter PFS (all p&lt;0.05) (Table). High C3 MLR portended shorter OS and PFS. NLR, MLR and PLR were highly correlated (Pearson correlation coefficients ≥ 0.67, p&lt;0.0001). Conclusions: High NLR, MLR, and PLR at C1 and at C3 are associated with worse clinical outcomes in this cohort. These values warrant a larger study for validation. MVA† of MLR, NLR, and PLR at C1 and at C3 with OS and PFS. [Table: see text]

Objective: To analyze the comprehensive blood inflammation index of the patients with stage I pneumoconiosis complicated with pulmonary infection, and to explore its value in predicting the patients' disease. Methods: In September 2023, 83 patients with stage I pneumoconiosis who were treated in Tianjin Occupational Diseases Precaution and Therapeutic Hospital from November 2021 to August 2023 were selected and divided into non-infected group (56 cases) and infected group (27 cases) according to whether they were combined with lung infection. Workers with a history of dust exposure but diagnosed without pneumoconiosis during the same period were selected as the control group (65 cases) . By referring to medical records and collecting clinical data such as gender, age, occupational history, past medical history, hematology testing, the differences in the comprehensive blood inflammation indexes among the three groups were compared, ROC curve was drawn, and the relationship between comprehensive blood inflammation indexes and stage I pneumoconiosis and its combined lung infection was analyzed. Results: There were significtant differences in the number of neutrophils (N) , the number of lymphocytes (L) , the number of monocytes (M) , C-reactive protein (CRP) , the neutrophil to lymphocyte ratio (NLR) , the monocyte to lymphocyte ratio (MLR) , the platelet to lymphocyte ratio (PLR) , the systemic immune-inflammatory index (SII) , the systemic inflammation response index (SIRI) , the aggregate index of systemic inflammation (AISI) , the derived neutrophil to lymphocyte ratio (dNLR) , the neutrophil to lymphocyte and platelet ratio (NLPR) , and the C-reactive protein to lymphocyte ratio (CLR) (P<0.05) . Compared with the control group, MLR, SIRI and AISI in the non-infected group were significantly increased (P<0.05) . NLR, MLR, PLR, SII, SIRI, AISI, dNLR, NLPR, CLR were significantly increased (P<0.05) . Compared with the non-infected group, NLR, PLR, SII, SIRI, AISI, dNLR, NLPR and CLR were significantly increased in the infected group (P<0.05) . ROC analysis showed that NLR, MLR, PLR, SII, SIRI and AISI had a certain predictive capability for stage I pneumoconiosis (P<0.05) , among which MLR had the highest efficacy, with an AUC of 0.791 (95% CI: 0.710-0.873) , the cut-off value was 0.18, the sensitivity was 71.4%, and the specificity was 78.5%. NLR, MLR, PLR, SII, SIRI, AISI, dNLR, NLPR and CLR all had a certain predictive capability forstage I pneumoconiosis combined lung infection (P<0.05) , among which CLR had the highest efficacy, with an AUC of 0.904 (95%CI: 0.824~0.985) , the cut-off value was 5.33, sensitivity was 77.8%, specificity was 98.2%. Conclusion: The comprehensive blood inflammation index may be an auxiliary predictor of stage I pneumoconiosis and its combined lung infections.

Simple SummaryIn this exploratory analysis of a randomized controlled trial, we found that dynamic changes in simple laboratory-based markers such as prostate-specific antigen (PSA) could be used to predict survival in patients with metastatic prostate cancer that is sensitive to hormonal manipulation. We developed a model that captures information on dynamic changes in PSA along with hemoglobin (Hb), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR), and this model was found to be clinically more useful compared to the “treat all” strategy. This model could be used to design future adaptive trials that will investigate sequential treatment personalization in metastatic hormone sensitive prostate cancer patients.We investigated whether inter-patient variation in the dynamic trajectory of hemoglobin (Hb), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), and prostate-specific antigen (PSA) can prognosticate overall survival (OS) in de novo mHSPC. This is a secondary analysis of the LATITUDE trial in which high-risk de novo mHSPC patients were randomly assigned to receive either androgen deprivation therapy (ADT) plus abiraterone or ADT plus placebo. We used a five-fold cross-validated joint model approach to determine the association of temporal changes in the serological markers with OS. Decision curve analysis was applied to determine the net benefit. When dynamic changes in Hb, LMR, NLR, PLR, and PSA were included in a multivariate joint model, an increase in the log of the current value of PSA (HR: 1.24 [1.20–1.28]) was associated with inferior OS. A multivariate joint model that captured dynamic trajectory of Hb, NLR, PLR, LMR, and PSA up to 24 months, showed a net benefit over the “treat all” strategy at a threshold of probability of approximately ≥30% while no net benefit was seen when dynamic change in PSA was omitted. Our joint model could be used for designing future adaptive trials investigating sequential treatment personalization.

BackgroundHepatic artery interventional therapy has been recognized as the first choice for advanced liver cancer. However, reliable prognostic markers are still lacking. In the present study, we aimed to evaluate the prognostic value of inflammation factors including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and monocyte to lymphocyte ratio (MLR) in hepatocellular carcinoma (HCC) patients with hepatic artery interventional treatments.MethodsPatients undergoing hepatic artery interventional therapy after being diagnosed with HCC between 2007 and 2014 were enrolled. Pre-treatment NLR, PLR and MLR were calculated, and all factors including gender, age, TNM stage, BCLC staging, inflammation factors, LDH, ALP, CEA, AFP, hepatitis, liver cirrhosis, portal vein involvement, surgical history and hepatic artery interventional treatment on overall survival (OS) were evaluated by the univariate and multivariate Cox proportional hazards analyses.ResultsOverall, 407 patients were included. The optimal cutoff values determined by receiver operating characteristic (ROC) curve analyses for NLR, PLR and MLR were 3.82, 140.00 and 0.27, respectively. High NLR was associated with worse OS (median survival time: high NLR group 9 vs low NLR group 19 months, HR 1.842, 95% CI: 1.457–2.329, P<0.001). Elevated PLR was negatively correlated with OS (8 vs 18 months, HR 1.677, 95% CI: 1.302–2.161, P<0.001). Patients in high MLR group had a worse OS (10 vs 21 months, HR 1.626, 95% CI: 1.291–2.048, P<0.001). In multivariate analysis, NLR, LDH, ALP and portal vein involvement were independent prognostic factors for OS of HCC patients after hepatic artery interventional therapy. In addition, for patients in BCLC stage A and B, higher NLR, PLR and MLR were all significantly negatively correlated to median survival time (NLR: 17 vs 26 months, HR: 1.739 (95% CI: 1.279–2.365), P<0.001; PLR: 18 vs 26 months, HR: 1.681 (95% CI: 1.245–2.271), P=0.001; MLR: 20 vs 26 months, HR: 1.589 (95% CI: 1.185–2.129), P=0.002).ConclusionElevated pre-treatment NLR, PLR and MLR were associated with worse survival time in HCC patients after hepatic artery interventional therapy. Among them, NLR was an independent prognostic factor for OS.