Novel Index Combining Pan-Immune-Inflammatory Index and Hemoglobin Levels (PIV/Hb) Predicts Trismus Rates Efficiently after Chemoradiotherapy in Locally Advanced Nasopharyngeal Cancer.

Purpose: To evaluate the predictive potency of a novel index combining the pan-immune-inflammatory index and hemoglobin levels (PIV/Hb) for the prevalence of radiation-induced trismus (RIT) in patients with locally advanced nasopharyngeal cancer (LA-NPC) receiving concurrent chemoradiotherapy (CCRT). Methods: Data from 228 LA-NPC patients were retrospectively examined. Maximum mouth openings (MMO) were measured to confirm the presence of RIT, defined as MMOs ≤35 mm. Complete blood test results from the first day of CCRT were used to calculate PIV/Hb levels. A potential relationship between pretreatment PIV/Hb and the RIT status was evaluated using receiver operating characteristic (ROC) curve analysis. Results: Post-CCRT RIT was diagnosed in 20.2% of the patients. The ROC curve analysis determined 68.4 g/dL as the ideal PIV/Hb cutoff that effectively divided patients into two distinct groups (area under the curve: 94.7%; specificity: 86.4%; sensitivity: 87.4%). RIT was significantly more prevalent in the PIV/Hb > 68 group than in the PIV/Hb < 68 group (58.8% vs. 3.8%; P < 0.001). Multivariate logistic regression analysis showed that a pre-CCRT PIV > 68 was independently associated with significantly higher rates of RIT. Conclusion: Higher pretreatment levels of the novel PIV/Hb index predict increased RIT rates following definitive CCRT for LA-NPCs.

Prognostic Value of Pre-Chemoradiotherapy Pan-Immune-Inflammation Value (PIV) in Locally Advanced Nasopharyngeal Cancers.

BACKGROUND: To examine the prognostic relevance of pan-immune-inflammation value (PIV) in locally advanced nasopharyngeal carcinomas (LA-NPC) patients treated with concurrent chemoradiotherapy (CCRT) definitively. METHODS: We used receiver operating characteristic (ROC) curve analysis to determine an optimal PIV cutoff that could effectively divide the patient cohort into two distinct groups based on distant metastasis-free (DMFS) and overall survival (OS) results. For this purpose, receiver operating characteristic (ROC) curve analysis was employed. Our primary and secondary endpoints were to investigate the potential correlations between pre-CCRT PIV measurements and post-CCRT OS and DMFS outcomes, respectively. RESULTS: This retrospective cohort study included 179 LA-NPC patients. The optimal PIV cutoff was 512 (area under the curve: 74.0%; sensitivity: 70.8%, specificity: 68.6%; J-index: 0.394) in ROC curve analysis, creating two patient groups: Group-1: PIV < 512 (N = 108); vs Group-2: PIV ≥ 512 (N = 71). In the comparative analysis, although there were no significant differences between the two groups regarding the patient, disease, and treatment characteristics, the PIV ≥ 512 group had significantly poorer median OS [74.0 months vs not reached yet (NR); HR: 2.81; P < 0.001] and DMFS (27.0 months vs NR; HR: 3.23; P < 0.001) than the PIV < 512 group. Apart from PIV ≥ 512, the N2-3 nodal stage and ≥ 5% weight loss within the preceding 6 months were significant predictors of unfavorable outcomes for DMFS (P < 0.05 for each) and OS (P < 0.05 for each) in univariate analyses. The results of the multivariate analysis showed that each of the three variables had independent negative impacts on both DMFS and OS outcomes (P < 0.05 for each). CONCLUSIONS: The present findings indicate that PIV, which classifies these patients into two groups with significantly different DMFS and OS, might be a potent prognostic biological marker for LA-NPC patients.

Topkan's CARWL Index Efficiently Predicts the Radiation-Induced Tooth Loss Rates in Radically Treated Locally Advanced Nasopharyngeal Cancer Patients.

PURPOSE: To assess the usefulness of the novel CARWL index in predicting radiation-induced tooth loss (RITL) rates in locally advanced nasopharyngeal cancer (LA-NPC) patients undergoing concurrent chemoradiotherapy (C-CRT). METHODS: The study retrospectively examined data from 323 LA-NPC patients. The patients were divided into two groups based on cutoff values for CAR and weight loss (WL). The ideal cutoff for RITL was 3.0 g/dL [AUC: 83.0%, sensitivity: 83.6%, specificity: 81.4%, J-index: 0.650]. CARWL index was created by combining pretreatment CAR and WL status (WL ≤ 5.0% vs > 5.0%, resulting in four groups: Group 1: CAR < 3.0 and WL ≤ 5.0%, Group 2: CAR < 3.0 and WL > 5.0%, Group 3: CAR ≥ 3.0 and WL ≤ 5.0%, and Group 4: CAR > 3.0 and WL > 5.0%. RESULTS: RITL was diagnosed in 67.2% of patients. Since the RITL rates of Groups 2 and 3 were statistically indistinguishable, we combined them and created the three-tiered CARWL score groups: CARWL-0: CAR < 3.0 and WL ≤ 5.0%; CARWL-1: CAR < 3.0 and WL > 5.0%, or CAR ≥ 3.0 and WL ≤ 5.0%; and CARWL-2: CAR > 3.0 and WL > 5.0%. Comparative analysis revealed that the RITL rates gradually and significantly increased from CARWL-0 to CARWL-2 score groups (49.4% vs 64.7% vs 83.0%; P <0.001) despite similar baseline disease and patient characteristics. Results of the multivariate analysis showed that higher CARWL score groups were independent and significant predictors of increased RITL rates (p < 0.001). CONCLUSION: Present results suggest that the novel CARWL index is a reliable biomarker for predicting RITL incidence in LA-NPC patients.

The unique CARWL score stratifies locally advanced nasopharyngeal cancer patients receiving concurrent chemoradiotherapy into risk groups for radiation-induced trismus.

PURPOSE: To determine the utility of the novel CARWL score, which integrates C-reactive protein-to-albumin ratio (CAR) and significant weight loss (SWL), in stratifying the locally advanced nasopharyngeal carcinoma (LA-NPC) patients into significantly different radiation-induced trismus (RIT) risk groups following definitive C-CRT. PATIENTS AND METHODS: This retrospective study analyzed the medical records of 286 LA-NPC patients who received C-CRT between January 2010 and December 2022. The maximum mouth opening (MMO) was measured before the C-CRT, at 1, 3, 6, 9, and 12 months, and every 6 months after that during the follow-up. Additionally, the CAR value just before the commencement of C-CRT and SWL defined as a weight loss > 5% in the preceding six months were documented for each patient. RIT was defined as a MMO ≤ 35 mm. RESULTS: The optimal CAR cut-off was 3.03 (area under the curve: 87.3%; sensitivity: 82.6%; specificity: 80.9%, J-index: 0.635), using receiver operating characteristic (ROC) curve analysis, with RIT incidence being the event. We stratified the patients into three CARWL score groups. CARWL-0: CAR < 3.0 and WL ≤ 5.0% (N = 92), CARWL-1: CAR < 3.0 and WL > 5.0% or CAR ≥ 3.0 (N = 99), and WL ≤ 5.0% and CARWL-2: CAR > 3.0 and WL > 5.0% (N = 95). The incidence of RIT increased significantly across CARWL score groups (8.7% for CARWL-0, 23.2% for CARWL-1, and 44.2% for CARWL-2; P < 0.001). CONCLUSION: The current study indicated that the novel CARWL scoring system is efficient in precisely stratifying LA-NPC patients into distinct RIT risk groups after C-CRT.

The global immune-nutrition-inflammation index (GINI) as a robust prognostic factor in glioblastoma patients treated with the standard stupp protocol.

BACKGROUND: Systemic inflammation can significantly impact gliomas' onset, progression, and prognosis. Glioblastoma multiforme (GBM) represents the glioma subtype characterized by the most profound inflammatory and immunosuppressive states. Consequently, various blood-borne biomarkers have been scrutinized concerning their prognostic value in GBM patients. OBJECTIVE: We sought to investigate whether the recently introduced Global Immune-Nutrition-Inflammation Index (GINI) holds prognostic significance for GBM patients treated with the standard Stupp protocol. METHODS: We retrospectively analyzed the data from a cohort of newly diagnosed GBM patients receiving the standard Stupp regimen using the propensity score-matching methodology. The GINI was computed using the original formula: GINI = [(C-reactive protein × Monocytes × Platelets × Neutrophils) ÷ (Albumin × Lymphocytes)]. We employed receiver operating characteristic (ROC) curve analysis to identify the optimal cutoff values for GINI, which could help distinguish between different survival outcomes. The primary and secondary objectives were the differences in overall survival (OS) and progression-free survival (PFS) between the GINI groups. RESULTS: The optimal GINI cutoff value was 1350. Out of 294 eligible patients, 211 were PSM-matched: GINI<1350 (N = 95) and GINI≥1350 (N = 116). Comparative Kaplan-Meier estimates indicated that the GINI≥1350 patients had substantially worse median PFS (8.0 vs 16.8 months; p < .001) and OS (14.3 vs 22.9 months; p < .001) durations than their GINI<1350 counterparts. CONCLUSION: High pretreatment GINI values are robustly and independently associated with inferior PFS and OS outcomes in selected GBM patients who receive standard Stupp protocol. These findings suggest that if further confirmed, the novel GINI could serve as a valuable biological marker for the prognostic stratification of GBM patients.

Predicting osteoradionecrosis risk in patients with locoregionally advanced nasopharyngeal carcinoma undergoing concurrent chemoradiotherapy: The value of the CARWL index.

Osteoradionecrosis (ORN) is a severe complication that can arise in patients with nasopharyngeal carcinoma due to the aggressive nature of chemoradiotherapy treatment. The purpose of our study was to assess the utility of the recently introduced CARWL index, which integrates the C-reactive protein-to-albumin ratio (CAR) and significant weight loss (SWL), in predicting the risk of ORN in patients with locoregionally advanced nasopharyngeal cancer (LA-NPC) undergoing concurrent chemoradiotherapy (CCRT). We conducted a retrospective cohort analysis on 304 patients with LA-NPC treated with CCRT. Patients were categorized into CARWL index groups based on CAR (cut-off: 3.0) and SWL (weight loss > 5% over the past six months): CARWL-0 (CAR < 3.0, SWL ≤ 5%), CARWL-1 (CAR < 3.0 with SWL > 5% or CAR ≥ 3.0 with SWL ≤ 5%), and CARWL-2 (CAR ≥ 3.0 and SWL > 5%). The primary endpoint was the incidence of ORN in each CARWL index group. At a median follow-up of 67.2 months, 28 patients (9.2%) developed ORN. The incidence of ORN was 2.1%, 9.4%, and 16.3% in the CARWL-0, CARWL-1, and CARWL-2 groups, respectively (P < 0.001). Multivariate analysis identified smoking status (HR: 2.58, P = 0.034), N-stage (HR: 1.96, P = 0.008), T-stage (HR: 1.84, P = 0.017), pre-CCRT tooth extraction status (HR: 5.81, P < 0.001), post-CCRT tooth extraction status (HR: 6.82, P < 0.001), mandibular V55.8 Gy (HR: 6.12, P < 0.001), and CARWL score (HR: 5.67, P = 0.002) as significant predictors of ORN. The CARWL index is a reliable predictive tool for evaluating the risk of ORN in LA-NPC patients undergoing CCRT. If further validated, its use in clinical settings could aid in the early identification of high-risk patients and enable the implementation of personalized preventive strategies.

Prognostic Value of Novel CARWL Score in Stage IIIC Non-Small-Cell Lung Cancer Patients Undergoing Concurrent Chemoradiotherapy.

Objectives: We explored the prognostic utility of the unique combination of C-reactive-protein-to-albumin ratio (CAR) and significant weight loss (WL > 5%) over the preceding 6 months, namely, the CARWL score, in stage IIIC non-small-cell lung cancer (NSCLC) patients who underwent concurrent chemoradiotherapy (CCRT). Methods: For each patient, the CAR was calculated using C-reactive protein and albumin measurements obtained on the first day of CCRT: CAR = C-reactive protein ÷ albumin. The availability of an ideal CAR cutoff that may categorize patients into two distinct progression-free (PFS) and overall survival (OS) outcomes was explored by employing receiver operating characteristic (ROC) curve analysis. Patients were additionally divided into two groups based on their status of significant WL according to the well-recognized Delphi criteria. Then, the CARWL score was created by combining all feasible combinations of the CAR and significant WL groupings. The potential links between pretreatment CARWL groups and the post-CCRT OS and PFS outcomes were determined as the primary and secondary endpoints. Results: This retrospective cohort study comprised a total of 651 stage IIIC NSCLC patients. ROC curve analysis indicated that rounded 3.0 was the ideal CAR cutoff (area under the curve (AUC): 70.1%; sensitivity: 67.8%; specificity: 65.9%), which categorized the patients into CAR < 3.0 (N = 324) and CAR ≥ 3.0 (N = 327) groups. There were 308 (47.3%) and 343 (52.7%) patients without and with significant WL, respectively. The created CARWL groups were CARWL-0: CAR < 3.0 and WL ≤ 5.0%; CARWL-1: CAR < 3.0 and WL > 5.0%, or CAR ≥ 3.0 and WL ≤ 5.0%; and CARWL-2: CAR > 3.0 and WL > 5.0%. The Kaplan-Meier curves showed that the PFS (14.2 vs. 11.4 vs. 7.5 months; P < 0.001) and OS (37.3 vs. 23.6 vs. 12.8 months; P < 0.001) durations were gradually and significantly lowered from the CARWL-0 to CARWL-2 groups. The CARWL score's significant impacts on PFS and OS outcomes were found to be independent of the other variables in the multivariate analysis (P < 0.001, for each). Conclusions: Our findings indicate that the novel CARWL score, which accounts for pretreatment CAR and significant WL during the preceding 6 months, can reliably stratify newly diagnosed stage IIIC NSCLC patients into three groups with significantly different PFS and OS after definitive CCRT.

Novel Somay's GLUCAR Index Efficiently Predicts Survival Outcomes in Locally Advanced Pancreas Cancer Patients Receiving Definitive Chemoradiotherapy: A Propensity-Score-Matched Cohort Analysis.

BACKGROUND: Propensity score matching (PSM) was used to investigate the prognostic value of a novel GLUCAR index [Glucose × (C-reactive protein ÷ albumin)] in unresectable locally advanced pancreatic cancer (LA-NPC) patients who received definitive concurrent chemoradiotherapy (CCRT). METHODS: The PSM analysis comprised 142 LA-PAC patients subjected to definitive CCRT. Receiver operating characteristic (ROC) curve analysis was utilized to identify relevant pre-CCRT cutoffs that could effectively stratify survival results. The primary and secondary objectives were the correlations between the pre-CCRT GLUCAR measures and overall survival (OS) and progression-free survival (PFS). RESULTS: The ROC analysis revealed significance at 43.3 for PFS [area under the curve (AUC): 85.1%; sensitivity: 76.8%; specificity: 74.2%; J-index: 0.510)] and 42.8 for OS (AUC: 81.8%; sensitivity: 74.2%; specificity: 71.7%; J-index: 0.459). Given that these cutoff points were close, the standard cutoff point, 42.8, was selected for further analysis. Comparative survival analyses showed that pre-CCRT GLUCAR ≥ 42.8 (n = 71) measures were associated with significantly shorter median PFS (4.7 vs. 15.8 months; p < 0.001) and OS (10.1 vs. 25.4 months; p < 0.001) durations compared to GLUCAR < 42.8 measures (n = 71). The multivariate analysis results confirmed the independent significance of the GLUCAR index on PFS (p < 0.001) and OS (p < 0.001) outcomes. CONCLUSIONS: Elevated pre-CCRT GLUCAR levels are robustly and independently linked to significantly poorer PFS and OS outcomes in unresectable LA-PAC patients treated with definitive CCRT.

Global Immune-Nutrition-Inflammation Index as a novel comprehensive biomarker in predicting the radiation-induced trismus rates in locally advanced nasopharyngeal carcinoma patients.

In this study, we aimed to evaluate whether the novel pretreatment Global Immune-Nutrition-Inflammation Index (GINI) can predict radiation-induced trismus (RIT) in locally advanced nasopharyngeal carcinoma (LA-NPC) patients undergoing concurrent chemoradiotherapy (CCRT). Data of LA-NPC patients presenting without RIT were reviewed retrospectively. Any post-CCRT maximum mouth openings (MMO) ≤ 35 mm were considered RIT. The GINI index was calculated using the formula: GINI = (CRP x Monocytes x Platelets x Neutrophils) ÷ (Albumin x Lymphocytes). We used receiver operating characteristic (ROC) curve analysis to examine the potential correlation between pretreatment GINI measures and post-CCRT RIT status. Logistic regression analysis examined the independence of the association between confounding factors and RIT rates. The study comprised 230 participants, and 52 (22.6%) received an RIT diagnosis. The optimal pre-CCRT GINI cutoff that dichotomizes RIT rates was determined to be 1,424 (area under the curve [AUC]: 76%; sensitivity: 75.0%; specificity: 71.7%; J-index: 0.463). RIT incidence was significantly higher in the GINI ≥ 1424 group than in its GINI < 1424 counterpart (43.3% vs. 9.3%; hazard ratio: 4.76; P < 0.001). Multivariate logistic regression analysis revealed that a pre-CCRT GINI ≥ 1424 was an independent predictor of increased RIT rates after definitive CCRT in this patient group (P < 0.001). In conclusion, the present results revealed that elevated pre-CCRT GINI measures (≥ 1424) can efficiently and independently predict elevated RIT rates in LA-NPC patients after CCRT.

Pre-chemoradiotherapy high platelet counts predict jaw osteoradionecrosis in locally advanced nasopharyngeal carcinoma patients.

INTRODUCTION: This retrospective study aimed to investigate if pretreatment platelet (PLT) levels can predict the risk of osteoradionecrosis of the jaw (ORNJ) in patients with locally advanced nasopharyngeal carcinoma (LA-NPC) who received concurrent chemoradiotherapy (CCRT). MATERIAL &METHODS: ORNJ instances were identified from LA-NPC patients' pre- and post-CCRT oral exam records. All pretreatment PLT values were acquired on the first day of CCRT. Receiver operating characteristic curve analysis was used to determine the optimal PLT cutoff that divides patients into two subgroups with distinctive ORNJ rates. The primary outcome measure was the association between pretreatment PLT values and ORNJ incidence rates. RESULTS: The incidence of ORNJ was 8.8 % among the 240 LA-NPC patients analyzed. The ideal pre-CCRT PLT cutoff which divided the patients into two significantly different ORNJ rate groups was 285,000 cells/µL (PLT ≤ 285,000 cells/µL (N = 175) vs. PLT > 285,000 cells/µL (N = 65)). A comparison of the two PLT groups revealed that the incidence of ORNJ was substantially higher in patients with PLT > 285,000 cells/L than in those with PLT≤285,000 cells/L (26.2% vs. 2.3 %; P < 0.001). The presence of pre-CCRT ≥3 tooth extractions, any post-CCRT tooth extractions, mean mandibular dose ≥ 34.1 Gy, mandibular V57.5 Gy ≥ 34.7 %, and post-CCRT tooth extractions > 9 months after CCRT completion were also associated with significantly increased ORNJ rates. A multivariate Cox regression analysis demonstrated that each characteristic had an independent significance on ORNJ rates after CCRT. CONCLUSION: An affordable and easily accessible novel biomarker, PLT> 285,000 cells/L, may predict substantially higher ORNJ rates after definitive CCRT in individuals with LA-NPC.

Worth of pan-immune-inflammation value in trismus prediction after concurrent chemoradiotherapy for nasopharyngeal carcinomas.

OBJECTIVE: Radiation-induced trismus (RIT), one of the rare but serious side effects of concurrent chemoradiotherapy (C-CRT), is difficult to predict with high accuracy. We aimed to examine whether the pretreatment pan-immune-inflammation value (PIV) measures predict RIT in patients with locally advanced nasopharyngeal carcinoma (LA-NPC) receiving C-CRT. METHODS: Data of patients with LA-NPC who underwent C-CRT and had maximum mouth openings (MMO) > 35 mm were reviewed. Any MMO of 35 mm or less after C-CRT was considered RIT. All PIV values were computed using the complete blood count test results: PIV = (Platelets × Monocytes × Neutrophils) ÷ Lymphocytes. The receiver operating characteristic analysis was employed to dissect a possible association between pre-treatment PIV readings and RIT status. Confounding variables were tested for their independent relationship with the RIT rates using logistic regression analysis. RESULTS: The research comprised 223 participants, and RIT was diagnosed in 46 (20.6%) at a median time from C-CRT to RIT of 10 months (range: 5-18 months). Pre-C-CRT PIV levels and RIT rates were analyzed using receiver operating characteristic curve analysis, with 830 being the optimal cutoff (area under the curve: 92.1%; sensitivity: 87.5%; specificity: 85.5%; Youden index: 0.730). RIT was significantly more prevalent in the PIV > 830 cohort than its PIV ≤ 830 counterpart (60.3% vs. 5%; hazard ratio 5.79; P < 0.001). Multivariate logistic regression analysis revealed that advanced T-stage (P = 0.004), masticatory apparatus dose V58Gy≥%32 (P = 0.003), and PIV > 830 (P < 0.001) were independently linked with significantly elevated rates of RIT. CONCLUSION: The presence of elevated pre-C-CRT PIV is a unique biological marker that independently predicts increased RIT rates in LA-NPC undergoing C-CRT.

High pre-chemoradiotherapy pan-immune-inflammation value levels predict worse outcomes in patients with stage IIIB/C non-small-cell lung cancer.

BACKGROUND AND OBJECTIVES: We explored the prognostic usefulness of the pan-immune-inflammation value (PIV) in patients with stage IIIB/C non-small-cell lung cancer (NSCLC) who underwent concurrent chemoradiotherapy (CCRT). METHODS AND PATIENTS: For all patients, the PIV was calculated using platelet (P), monocyte (M), neutrophil (N), and lymphocyte (L) measures obtained on the first day of CCRT: PIV = P × M × N ÷ L. Using receiver operating characteristic (ROC) curve analysis, we searched for the existence of an ideal cutoff that may partition patients into two groups with unique progression-free- (PFS) and overall survival (OS) results. The primary endpoint of this retrospective cohort research was to determine whether there were any significant relationships between pretreatment PIV measures and post-CCRT OS outcomes. RESULTS: The present research included a total of 807 stage IIIB/C NSCLC patients. According to ROC curve analysis, the ideal PIV cutoff was 516 [area under the curve (AUC): 67.7%; sensitivity: 66.4%; specificity: 66.1%], which divided the whole cohort into two: low PIV (L-PIV: PIV < 516; N = 436) and high PIV (H-PIV: PIV ≥ 516; N = 371). The comparisons between the PIV groups indicated that either the median PFS (9.2 vs. 13.4 months; P < 0.001) or OS (16.7 vs. 32.7 months; P < 0.001) durations in the H-PIV group were substantially inferior to their L-PIV counterpart. Apart from the H-PIV (P < 0.001), the N3 nodal stage (P = 0.006), IIIC disease stage (P < 0.001), and receiving only one cycle of concurrent chemotherapy (P = 0.005) were also determined to be significant predictors of poor PFS (P < 0.05, for each) and OS (P < 0.05, for each) outcomes in univariate analysis. The multivariate analysis findings revealed that all four variables had independent negative impacts on PFS (P < 0.05, for each) and OS (P < 0.05, for each). CONCLUSIONS: The findings of this hypothesis-generating retrospective analysis claimed that the novel PIV was an independent and steadfast predictor of PFS and OS in stage IIIB/C NSCLC patients.

The Prognostic Value of the Novel Global Immune-Nutrition-Inflammation Index (GINI) in Stage IIIC Non-Small Cell Lung Cancer Patients Treated with Concurrent Chemoradiotherapy.

BACKGROUND: We sought to determine the prognostic value of the newly developed Global Immune-Nutrition-Inflammation Index (GINI) in patients with stage IIIC non-small cell lung cancer (NSCLC) who underwent definitive concurrent chemoradiotherapy (CCRT). METHODS: This study was conducted on a cohort of 802 newly diagnosed stage IIIC NSCLC patients who underwent CCRT. The novel GINI created first here was defined as follows: GINI = [C-reactive protein × Platelets × Monocytes × Neutrophils] ÷ [Albumin × Lymphocytes]. The receiver operating characteristic (ROC) curve analysis was used to determine the optimal pre-CCRT GINI cut-off value that substantially interacts with the locoregional progression-free (LRPFS), progression-free (PFS), and overall survival (OS). RESULTS: The optimal pre-CCRT GINI cutoff was 1562 (AUC: 76.1%; sensitivity: 72.4%; specificity: 68.2%; Youden index: 0.406). Patients presenting with a GINI ≥ 1562 had substantially shorter median LRPFS (13.3 vs. 18.4 months; p < 0.001), PFS (10.2 vs. 14.3 months; p < 0.001), and OS (19.1 vs. 37.8 months; p < 0.001) durations than those with a GINI < 1562. Results of the multivariate analysis revealed that the pre-CCRT GINI ≥ 1562 (vs. <1562), T4 tumor (vs. T3), and receiving only 1 cycle of concurrent chemotherapy (vs. 2-3 cycles) were the factors independently associated with poorer LRPS (p < 0.05 for each), PFS (p < 0.05 for each), and OS (p < 0.05 for each). CONCLUSION: The newly developed GINI index efficiently divided the stage IIIC NSCLSC patients into two subgroups with substantially different median and long-term survival outcomes.

A high pan-immune-inflammation value before chemoradiotherapy indicates poor outcomes in patients with small-cell lung cancer.

Objectives: The objective of our study was to assess the prognostic significance of the Pan-Immune-Inflammation Value (PIV) before concurrent chemoradiation (C-CRT) and prophylactic cranial irradiation (PCI) in patients with limited-stage small-cell lung cancer (SCLC). Methods: The medical records of LS-SCLC patients who underwent C-CRT and PCI between January 2010 and December 2021 were retrospectively analyzed. PIV values were calculated using the peripheral blood samples obtained within the past 7 days before the initiation of treatment: PIV = [neutrophils × platelets × monocytes] ÷ lymphocytes. Using receiver operating characteristic (ROC) curve analysis, the optimal pretreatment PIV cutoff values that can partition the study population into two groups with substantially distinct progression-free survival (PFS) and overall survival (OS) outcomes were determined. The relationship between PIV values and OS outcomes was the primary outcome measure. Results: Eighty-nine eligible patients were divided into two PIV groups at an optimal cutoff of 417 [Area under curve (AUC): 73.2%; sensitivity: 70.4%; specificity: 66.7%]: Group 1: PIV < 417 (N = 36) and Group 2: PIV ≥ 417 (N = 53). Comparative analyses revealed that patients with PIV < 417 had significantly longer OS (25.0 vs 14.0 months, p < .001) and PFS (18.0 vs 8.9 months, p = .004) compared to patients with PIV ≥ 417. The outcomes of the multivariate analysis have verified the independent significance of pretreatment PIV concerning PFS (p < .001) and OS (p < .001) outcomes. Conclusion: The findings of this retrospective study indicate that the pretreatment PIV is a reliable and independent prognostic biomarker for patients with LS-SCLC who were treated with C-CRT and PCI.

Effects of Definitive Chemoradiotherapy on Respiratory Function Tests and Quality of Life Scores During Treatment of Lung Cancer.

BACKGROUND: Chemoradiotherapy is an important treatment modality for lung cancers. The aim of this study was to investigate alterations in, as well as the interrelationship between, lung function and quality of life of patients receiving chemoradiotherapy due to locally advanced non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) limited to the thorax. MATERIALS AND METHODS: The study included patients receiving definitive chemoradiotherapy for lung carcinoma. The respiratory function of the patients was assessed by measuring forced expiratory volume in 1 s per unit (FEV1) and forced expiratory volume in 1s per unit of vital capacity (FEV1/VC) before, in the middle of and after treatment. During the study, EORTC QLQ C30 and LC13 questionnaires developed by the Committee of the European Organization for Research and Treatment of Cancer (EORTC) were employed to evaluate the quality of life on the same day as respiratory function tests (RFT). FINDINGS: The study included 23 patients in total: 19 (82.6%) diagnosed with NSCLC and 4 (17.4%) with SCLC. The average percentage FEV1 was 55.6±21.8% in the pre-treatment period, 56.2±19.2% in the middle of treatment and 60.4±22% at the end of treatment. The improvement in functional scores, symptom scores and general health scores during treatment was not statistically significant (P=0.568, P=0.734, P=0.680, P=0.757 respectively). CONCLUSIONS: Although this study showed an improvement in respiratory function and quality of life of patients during treatment with thoracic chemoradiotherapy, no statistically significant results were obtained. While evaluating the effectiveness of treatments for lung carcinoma, the effects of treatment on respiratory function and quality of life should be considered.