While severe postoperative complications (SPCs) impact cancer prognosis, their effect on locally advanced esophageal squamous cell carcinoma (ESCC) patients with varying immunonutritional statuses after minimally invasive esophagectomy (MIE) is unclear.

This retrospective study analyzed 442 patients with locally advanced ESCC who underwent MIE, investigating the relationship between SPCs and survival based on preoperative immunonutritional status, determined by the prognostic nutritional index (PNI). Nomograms were developed for patients with preserved immunonutritional status using Cox regression, and their performance was assessed.

Of the patients, 102 (23.1%) experienced SPCs after MIE. Five-year overall survival (OS) and disease-free survival (DFS) were significantly different between SPCs and non-SPCs groups (p < 0.001). In the preserved immunonutritional group, SPCs significantly reduced 5-year OS (p = 0.008) and DFS (p = 0.011), but not in the poor immunonutritional group (OS p = 0.152, DFS p = 0.098). Multivariate Cox regression identified SPCs as an independent risk factor for OS (HR = 1.653, p = 0.013) and DFS (HR = 1.476, p = 0.039). A nomogram for predicting OS and DFS in preserved immunonutritional patients demonstrated excellent performance.

SPCs significantly affect prognosis in ESCC patients with preserved immunonutritional status after MIE. Nomograms based on SPCs can predict OS and DFS in these patients.

Myosteatosis, or excessive deposition of adipose tissue within skeletal muscle, has been widely used to explain an impaired muscle quality. This study aimed to investigate the association between preoperative myosteatosis and surgical outcomes in patients with non-small-cell lung cancer (NSCLC).

We retrospectively examined 492 patients who underwent anatomical lung resection for stages I-III NSCLC between January 2014 and December 2022. The patients were divided into low- and high-paraspinal muscle density (MD) groups based on the lowest quartile cutoff value of MD on contrast-enhanced computed tomography, with the low-MD group defined as having myosteatosis.

The five-year overall survival (OS) and recurrence-free survival (RFS) rates were significantly lower in the myosteatosis group than in the control group (59.1% vs. 86.8%, P < 0.001; 52.0% vs. 72.6%, P < 0.001, respectively). A multivariate analysis identified myosteatosis as an independent predictor of OS (hazard ratio [HR], 2.809; 95% confidence interval [CI], 1.781-4.430; P < 0.001) and RFS (HR, 1.894; 95%CI, 1.340-2.678; P < 0.001). There was a significant correlation between myosteatosis and prolonged air leak postoperatively (P = 0.039).

Perioperative nutritional and exercise interventions facilitate changes in body composition, which may improve the outcomes in patients with lung cancer undergoing anatomical resection.

BackgroundHealth-related quality of life (QoL) is a measure that allows us to know the patient's perception of well-being and how it is affected by their disease and treatments. In cancer patients, sarcopenia has been associated with low scores on various instruments used to assess the QoL; however, little information is available on the effects of sarcopenia and sarcopenic obesity on the QoL of patients with head and neck cancer (H&NC).MethodsIn this cross-sectional study with 71 H&NC patients aged between 40 and 80 years, we describe the scores on the instruments EORTC QLQ C-30 and EORTC QLQ-H&N35 according to the sarcopenia phenotype (NSG, nonsarcopenic group; SG, sarcopenic group; and SOG, sarcopenic obesity group), hand-grip strength, gait speed, total lymphocyte count, albumin, cholesterol and C-reactive protein, and the relationships between these variables.ResultsThe prevalence of sarcopenia and sarcopenic obesity was 48% and 28%, respectively. The QoL analysis showed that NSG had higher scores on the physical functioning scale [NSG 93 (83-100); SG 73 (52-88); SOG 83 (53-93), P = .009] and lower scores on the fatigue scale [NSG 11 (0-22); S 39 (30-67); SOG 44 (14-56); P = .004]. The NSG had a higher hand-grip strength (31.1 kg) than SG (24.1 kg, P = .007) and SOG (26.3 kg, P = .001), and a lower C-reactive protein. The SG and SOG showed no differences between them.ConclusionsPatients with sarcopenia or sarcopenic obesity have lower physical performance and a higher level of fatigue than nonsarcopenic patients. This loss of function can maintain or worsen sarcopenia due to the patient's self-restraint in physical exertion that encourages an increase in muscle tissue.

The prognostic role of systemic inflammatory biomarkers in patients with chondrosarcoma remains unclear, and evidence is lacking. The modified Glasgow Prognostic Score (mGPS) is an inflammation-based prognostic score consisting of preoperative CRP and albumin. This has been validated for a number of carcinomas and soft-tissue sarcoma, where its use is recommended. This national multicentre study aimed to investigate the prognostic significance of preoperative systemic inflammatory biomarkers, primarily the mGPS, in the prediction of survival in patients with a chondrosarcoma.

Patients who had undergone an elective resection of a primary or secondary chondrosarcoma between January 2006 and December 2020 were identified from the prospectively maintained databases of seven collaborating UK bone sarcoma units. Laboratory and clinical data, as well as oncological outcomes, were collected from the patient records with a minimum of two years of follow-up. Data were analyzed using Kaplan-Meier survival and uni- and multivariate analysis.

A total of 549 patients were included in our study. We found that increased mGPS, tumour grade, size, age, local recurrence, metastasis, and inflammatory markers were significantly associated with reduced overall survival. mGPS was able to stratify the overall survival of patients in all grades of chondrosarcoma, especially when divided into mGPS score 0 versus mGPS 1 or 2.

Our findings indicate that inflammatory markers and mGPS strongly correlate with the survival of patients with a chondrosarcoma. We recommend its use in their early assessment to better stratify prognosis, reinforce decision-making, and potentially improve outcomes.

Objectives: This study aimed to investigate the prognostic value of the Naples Prognostic Score (NPS), a composite index of inflammation and nutrition markers, in patients with non-small cell lung cancer (NSCLC) and to assess its role in predicting survival across clinical subgroups. Methods: A retrospective analysis was conducted on 250 patients diagnosed with NSCLC between 2018 and 2023. Patients were categorized into low (≤2) and high (>2) NPS groups based on the scoring system derived from neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), serum albumin, and total cholesterol levels. Survival outcomes were analyzed using Kaplan-Meier curves, log-rank tests, and univariate and multivariate Cox regression analyses. Receiver operating characteristic (ROC) analysis was performed to determine the discriminatory ability of NPS. Results: Patients with high NPS (>2) had significantly lower overall survival (median OS: 10.4 vs. 18.2 months, p < 0.001) and progression-free survival (median PFS: 7.3 vs. 12.5 months, p < 0.001) than those with low NPS. High NPS was found to be an independent prognostic factor in multivariate Cox regression analysis (HR: 1.98, 95% CI: 1.42-2.76, p < 0.001). ROC analysis showed an AUC of 0.78 for NPS in predicting survival. Subgroup analyses demonstrated the consistent prognostic impact of high NPS across histological subtypes, TNM stages, smoking status, albumin levels, and age groups. Conclusions: NPS is an independent and practical prognostic tool in NSCLC. Its use may enhance risk stratification and support personalized treatment planning, particularly in advanced-stage patients.

The purpose of this study was to evaluate the predictive values of systemic immune-inflammatory index (SII), prognostic nutrition index (PNI), change of SII (ΔSII), change of PNI (ΔPNI) and ΔPNI-ΔSII score in patients with neoadjuvant chemotherapy for breast cancer.

We enrolled in a retrospective study involving 72 patients with breast cancer between February 2020 and January 2022. All patients had clinical features of axillary lymph node metastasis and received neoadjuvant therapy. PNI and SII were detected by hematology before and after treatment. Chi-square test was used to compare the clinicopathological and experimental parameters among all groups. Logistic regression analysis was used to evaluate the prognostic value of each factor.

The prognosis was evaluated and 18 patients (25%) achieved pathological complete response (pCR) after neoadjuvant therapy. The pCR rate of breast cancer patients was significantly correlated with ER, PR, HER-2, molecular subsets, tumor size, vascular invasion, nerve invasion, N stage, clinical stage and chemotherapy regimen. Low ΔPNI, high ΔSII and higher ΔPNI-ΔSII score values had better prediction of therapeutic effect, especially the ΔPNI-ΔSII score.

In breast cancer patients receiving neoadjuvant chemotherapy, ΔPNI-ΔSII score is an effective predictor of efficacy, which helps to identify high-risk groups and evaluate efficacy.

Gastric cancer (GC) continues to pose a significant global health challenge, particularly in advanced stages where treatment options are severely constrained. Immunotherapy represents a groundbreaking advancement in cancer treatment, exhibiting promising therapeutic effects in patients diagnosed with gastric cancer. However, the efficacy of immunotherapy is not universally applicable to all individuals. Revealing precise biomarkers for tumor immunotherapy as targets or indicators for detection and evaluation can facilitate the resolution of this predicament. This study aims to identify serum tumor markers and blood cell ratios as predictive biomarkers to aid in the selection of gastric cancer patients who may benefit from PD-1 inhibitors therapy.

A retrospective analysis was conducted on the medical records and hematological data of 98 patients with HER2-negative and microsatellite-stable (MSS) metastatic gastric cancer who received first-line treatment with PD-1 inhibitors in combination with chemotherapy at our institution. We investigated peripheral blood parameters, including Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), C-Reactive Protein-to-Albumin Ratio (CAR), AFP, Carcinoembryonic Antigen (CEA), and Sugar antigens 199 (CA199). Logistic regression and Cox regression analyses were employed to assess the correlation of these parameters with treatment response and survival duration. The relationship between these indicators and overall survival was assessed by employing Kaplan-Meier survival curves, in conjunction with an analysis of Overall Response Rate (ORR), Disease Control Rate (DCR), Progression-Free Survival (PFS), Overall Survival (OS), and safety profiles..

Higher pre-treatment levels of NLR, CAR, AFP, and CA199, along with subsequent reductions in NLR, CAR, and CA199 at 12 weeks post-treatment, were significantly associated with extended PFS and OS. Multivariate Cox analysis suggested that pre-treatment levels of AFP, as well as the reduction in NLR and CA199 at 12 weeks post-treatment, were strongly correlated with PFS and OS in patients with gastric cancer undergoing immunotherapy. Additionally, the reduction in NLR, CAR, and CA199 observed at 12 weeks after treatment showed a significant positive correlation with improved DCR and ORR. Multivariate logistic regression analysis indicated that the decline in NLR and CA199 levels at 12 weeks post-treatment might be associated with DCR, while pre-treatment CAR levels and the decrease in CAR after 12 weeks could potentially predict ORR in immunotherapy for gastric cancer. Notably, patients with normal AFP levels exhibited significantly prolonged median progression-free survival (mPFS) of 6.8 months and median overall survival (mOS) of 13.2 months compared to those with elevated AFP levels (mPFS: 5.2 months; mOS: 9.4 months), and this difference was statistically significant (P < 0.05).

Limited studies have investigated the metabolic heterogeneity of patients with clinical early-stage non-small cell lung cancer (NSCLC). Consensus clustering analysis has the potential to reveal distinct metabolic subgroups within clinical early-stage NSCLC patients. A total of 3324 clinical early-stage NSCLC patients who underwent surgery were included in this comprehensive evaluation. The evaluation encompassed 26 serum assessments related to metabolism and histopathological examination of the lymph nodes. By utilizing consensus clustering analysis, three clusters were identified based on various measurements, including blood glucose levels, blood uric acid, blood lipids, renal and liver function, and tumor markers. The differences in characteristics and lymph node metastasis (LNM) prevalence between the clusters were investigated and compared. The patients were classified into three distinct clusters that exhibited different patterns defined by the highest or lowest levels of metabolic feature variables. NSCLC cluster 1 had the lowest rates of LNM, while cluster 3 showed a significantly higher prevalence of LNM (1.6-fold increase, 95% CI: 1.21, 2.13) compared to cluster 1. Moreover, cluster 2 had the highest odds ratio (OR) of 1.78 (95% CI: 1.37, 2.33) for LNM prevalence. In subsequent sensitivity analysis, metabolic heterogeneity was observed among patients with a tumor measuring less than 2 cm in the long axis, along with similar differences in the prevalence of lymph node metastasis. This present study successfully categorized clinical early-stage NSCLC into three distinct subgroups, each with unique characteristics that reflect metabolic heterogeneity and significant disparities in the prevalence of LNM. Such an approach holds potential implications for clinical early-stage interventions targeting risk factors.

This study aimed to clarify the significance of the relative dose intensity (RDI) of S-1 adjuvant chemotherapy (ACT) after gastrectomy in elderly patients with stage II/III gastric cancer (GC) and to determine whether the cachexia index (CXI) correlates with RDI.

We enrolled 76 patients with stage II/III GC, aged > 70 years. The overall survival (OS) and disease-specific survival (DSS) of participants in the surgery alone, S-1 ACT completion (RDI ≥ 58%), and S-1 ACT non-completion (RDI < 58%) groups were compared. In addition, the clinicopathological determinants of RDI were examined.

The S-1 ACT completion group had better OS and DSS, while the prognoses of patients in the surgery alone and S-1 ACT non-completion groups did not differ significantly. S-1 ACT non-completion or surgery alone was identified as an independent poor prognostic factor for OS and DSS. Furthermore, a multivariate analysis revealed that a high preoperative CXI (≥ 75.5 for males and ≥ 79.4 for females) was an independent predictor of success in achieving an RDI ≥ 58%.

A higher preoperative CXI can result in a higher RDI and improve the prognosis of elderly patients with stage II/III GC who underwent S-1 ACT.

Systemic inflammatory response in diffuse large B-cell lymphoma (DLBCL) is closely related to disease prognosis. Our aim is to determine the role of pretreatment platelet-to-lymphocyte ratio (PLR) in predicting early treatment response in DLBCL patients.

This retrospective study included 94 patients. The correlation of PLR at the time of diagnosis with early treatment response was evaluated.

66 patients responded to treatment and 28 patients were unresponsive or partially responsive. In univariate analysis, age, eastern cooperative oncology group performance status (ECOG-PS), disease stage, extranodal involvement, neutrophil-to-lymphocyte ratio (NLR), PLR, hemoglobin, albumin, lymphocyte, platelet (HALP) score were found to predict response to treatment. Multivariate analysis revealed that PLR and ECOG-PS were independent predictors of early treatment response.

PLR can be used by clinicians as an effective, inexpensive inflammatory parameter supplementary to the IPI score to predict early treatment response to chemoimmunotherapy. Treatment of patients with DLBCL with high PLR at the time of diagnosis with more potent regimens may be a rational approach for patients to benefit more from treatment.

The online version contains supplementary material available at 10.1007/s12288-024-01839-2.

Objective In 2021, anamorelin, an orally active ghrelin receptor selective antagonist, was approved for the treatment of cachexia in patients with non-small cell lung cancer, gastric cancer, pancreatic cancer, and colon cancer. Cancer cachexia is classified into three stages: pre-cachexia, cachexia, and refractory cachexia, with the pre-cachexia and cachexia stages considered reversible with a combination of nutritional therapy, pharmacotherapy, and exercise therapy. In addition, treatment of cachexia requires early intervention, but diagnosis and early detection of cachexia are difficult. We hypothesized that the initiation of anamorelin treatment may be delayed in clinical practice and explored the appropriate timing of treatment initiation. Methods The data of patients with cachexia who received anamorelin at our hospital from June 2021 to July 2023 were retrospectively reviewed. Anamorelin was administered to 201 patients, of whom 134 were included in the study. Survival time and duration of medication were compared based on the number of objective criteria for anamorelin prescription (C-reactive protein [CRP] >0.5 mg/dL, hemoglobin <12 g/dL, albumin <3.2 g/dL). Multivariate analysis was used to determine the factors associated with continuation of anamorelin treatment for 12 weeks. Results Patients with a higher number of objective criteria for anamorelin prescription (CRP >0.5 mg/dL, hemoglobin <12 g/dL, albumin <3.2 g/dL) had shorter anamorelin treatment duration and survival. In multivariate analysis, 12 weeks of anamorelin treatment was associated with CRP. Comparing CRP ≤0.5 mg/dL vs. CRP >0.5 mg/dL, survival was significantly longer for CRP ≤0.5 mg/dL (p < 0.01). Conclusions Initiating anamorelin treatment with close attention to CRP and ensuring that prescribing criteria are met may be helpful in treating cachexia.

Background: Colorectal cancer affects a large number of patients worldwide, with numerous factors being involved in its etiopathogenesis and chronic inflammation playing an essential role in tumor development. In this study, we analyzed and compared several markers of inflammation that are relatively easy to obtain for a rapid and accurate diagnosis and prognosis. Methods: This study included 219 patients diagnosed with colorectal cancer, analyzing the inflammation scores derived from their blood cells and inflammatory circulating proteins. These inflammatory markers are neutrophil-to-lymphocyte ratio-NLR; platelet-to-lymphocyte ratio-PLR; lymphocyte-to-monocyte ratio-LMR; systemic immune inflammation index-SII; systemic inflammatory response index-SIRI; aggregate index of systemic inflammation-AISI; derived neutrophil-to-lymphocyte ratio-dNLR; C-reactive protein-to-albumin ratio-CAR; and fibrinogen-to-albumin ratio-FAR. In the analysis of patients with colorectal cancer, we have also introduced two new recently developed inflammatory markers: the cumulative inflammatory index (IIC) and the ratio between the mean corpuscular volume and lymphocytes (MCVL). This study aimed to correlate the inflammatory markers' levels with the colorectal cancer diagnostic stage, the tumor and clinical characteristics of the colorectal cancer patients, and 36 months' survival time and to evaluate the diagnostic and prognostic capacity and accuracy of these inflammatory markers in this type of cancer. Results: We showed that the levels of the analyzed inflammation markers correlate with the TNM stage, the tumor pathological differentiation grade, the age and gender of the patients, and overall survival, with their increased levels being associated with a lower survival rate. Conclusions: The analyzed markers, which are easy to perform right from the patient's admission, can be helpful both in diagnosis and, mostly, in prognosis, sustaining the role of inflammation in cancer. By comparing them, we showed which one can be useful for increased sensitivity and specificity in the diagnosis and prognosis of colorectal cancer patients.

Several research have indicated the significant potential of the Prognostic Nutritional Index (PNI) as a prognostic biomarker in lymphoma patients. However, there is some inconsistency in the findings of a few studies. Hence, to offer a thorough evaluation of the predictive significance of PNI in lymphoma patients, we performed a meta-analysis to examine the prognostic value of PNI for survival outcomes in lymphoma patients.

We conducted a comprehensive search for pertinent works published up until December 2023 in databases such as PubMed, EMBASE, Cochrane Library, and Web of Science. We obtained hazard ratio (HR) data related to survival outcomes and computed aggregated HRs with their corresponding 95% confidence intervals (CIs) to evaluate the correlation between PNI and both overall survival (OS) and progression-free survival (PFS) in lymphoma patients.

By analyzing data from 1260 patients in 28 studies, we found that PNI levels were associated with prognosis in lymphoma patients. High PNI levels predicted that patients had longer OS (HR: 0.46, 95% CI 0.37-0.58, P < 0.05) and better PFS (HR: 0.56, 95% CI 0.45-0.70, P < 0.05). Subgroup analyses showed that the predictive ability of PNI for patient prognosis may differ depending on the type of lymphoma. In addition, we found that the critical PNI value had greater predictive potential at 40-45 and above 45.

Our study suggests a strong association between PNI and prognostic outcomes in lymphoma patients, indicating that PNI holds substantial prognostic value in this population.

The accurate prognosis of gastrointestinal stromal tumors (GISTs) has garnered substantial attention, yet a gap persists in understanding the influence of inflammatory markers on the prognosis of high-risk GIST patients. This study investigated the relationship between various factors and the prognosis of high-risk GIST patients, with a specific focus on first recurrence-free survival (RFS) and overall survival (OS) as crucial prognostic indicators.

A comprehensive collection of clinical data was conducted on 145 high-risk GIST patients meeting specific inclusion and exclusion criteria at 17 medical centers in Ningxia Hui Autonomous Region, China, covering the period from January 2013 to December 2019. Single-factor analysis and survival curves were used to analyze the variables, while the Cox regression model evaluated independent prognostic factors.

Within the cohort, a balanced male-to-female ratio of 1:1.1 was observed. Univariate analysis revealed compelling associations between RFS and age, preoperative neutrophil-to-lymphocyte ratio (NLR), preoperative platelet-to-lymphocyte ratio (PLR), preoperative systemic immune-inflammatory index (SII), preoperative prognostic nutritional index (PNI), mitotic index, and whether or not imatinib (IM) was taken regularly in high-risk GIST patients (P < 0.05). Except age, these other variables were also significantly correlated with OS (P < 0.05). Cox regression analysis showed that age, preoperative PNI, mitotic index and postoperative IM adjuvant therapy independently affected RFS (P < 0.05). In addition, preoperative PNI and postoperative IM adjuvant therapy were also independent factors of OS, with statistical significance (P < 0.05). Age was negatively correlated with RFS, and early routine IM treatment after operation significantly reduced the risk of recurrence and death. Higher mitotic index is closely related to poor RFS, and higher preoperative PNI indicates a better prognosis.

A close correlation between young age, low preoperative PNI, high mitotic index, and lack of IM treatment had an unfavorable prognosis in high-risk GIST patients. Notably, the PNI was identified as a potential additional prognostic factor, enhancing the accuracy of predicting treatment efficacy and patient outcomes in high-risk patients with GISTs. Therefore, we advocate for the serious consideration of the PNI as a valuable addition to standard clinical practice for managing high-risk GIST patients.

Hypoalbuminemia is associated with poor outcomes in cancer patients, but its role in spinal metastases remains unclear.

This study aimed to identify albumin cutoff values defining hypoalbuminemia and describe the association between serum albumin and outcomes in patients with spinal metastases.

A narrative review of articles up to December 2022 was conducted using PubMed/Medline, EMBASE, and Web of Science databases. Variables extracted included study design, patient characteristics, serum albumin levels, treatments, and levels of evidence. Outcomes included survival/mortality, complications, ambulatory status, readmission, length of stay, discharge disposition, and blood loss.

Thirty-eight studies comprising 21,401 patients were analyzed. Most studies (92%) were Level of Evidence III. Albumin was evaluated as a continuous variable in 18% of studies and as a dichotomous variable in 76%, with 3.5 g/dL being the most common threshold for hypoalbuminemia. Primary outcomes evaluated were survival/mortality (71% of studies), complications (34%), and reoperation/readmission (11%). Of studies examining the association between hypoalbuminemia and survival/mortality, 74% found a significant association. An association between albumin levels and complications was found in 54% of relevant studies.

The findings of this study suggest that a threshold of 3.5 g/dL seems most appropriate to define hypoalbuminemia in patients with spinal metastases. However, evidence also supports a level-dependent effect. The most consistent significant association was between low albumin and survival at both fixed and continuous time points. There is less evidence to support an association between hypoalbuminemia and other endpoints such as perioperative complications.

The aim of this retrospective multicenter study was to evaluate the prognostic significance of low muscle mass, and inflammatory markers in patients with stage III nonsmall cell lung cancer (NSCLC) who received definitive chemoradiotherapy (CRT). Furthermore, the study aimed to determine the threshold value of disease-specific low muscle mass.

A total of 461 patients with stage III NSCLC were evaluated. Low muscle mass, prognostic nutritional index (PNI), and biochemical inflammatory markers were assessed. The Kaplan-Meier method and Cox regression analysis were used to analyze overall survival (OS) and progression-free survival (PFS).

This study found a disease-specific low muscle mass threshold of LSMI <38.7 cm²/m² for women and <45.1 cm²/m² for men, with 25.2% of patients having disease-specific low muscle mass. Multivariate cox regression analysis revealed that low PNI was found to be an independent unfavorable prognostic factor for both PFS (HR=0.67; 95% CI: 0.48-0.92, P = 0.015) and OS (HR=0.67; 95% CI: 0.50-0.91, P =0.008). Other factors including ECOG PS 3 (HR=7.76; 95% CI: 1.73-34.76, P =0.007), induction CT (HR=0.66; 95% CI: 0.49-0.88, P = 0.004), and disease-specific low muscle mass (HR=1.40; 95% CI: 1.02-1.92, P = 0.038) also had independent effects on prognosis.

The present study provides evidence that the presence of low muscle mass and low PNI significantly impacts the prognosis of patients with stage III NSCLC who undergo definitive CRT. Furthermore, our study is notable for being the first multicenter investigation to identify a disease-specific low muscle mass threshold.

The Naples prognostic score (NPS) is a remarkable marker of short- and long-term outcomes in various types of cancer. However, its impact on the postoperative outcomes of hepatocellular carcinoma remains controversial. This study aimed to clarify the impact of the NPS on the prognosis and incidence of postoperative complications in hepatocellular carcinoma.

Patients with hepatocellular carcinoma (n = 374) were categorized into high- and low-Naples prognostic score groups; their postoperative outcomes were compared. Prognostic and risk factors for severe postoperative complications were identified using multivariate analyses.

The low-Naples prognostic score group had significantly longer overall and recurrence-free survivals than the high-Naples prognostic score group (p = 0.03 and 0.04, respectively). Subgroup analysis revealed a superior predictive value of the NPS in the group with a single tumor (p = 0.03), tumor diameter ≤5 cm (p = 0.04), and tumor stage I or II (p = 0.04). A high NPS was an independent prognostic factor for overall survival (hazard ratio, 1.45; 95% confidence interval (CI), 1.01-2.05; and p = 0.04). The NPS 2-4 group had a higher incidence of the Clavien-Dindo grade ≥ IIIa postoperative complications than the 0-1 group (p = 0.03) and a score of 2-4 was identified as an independent risk factor for the Clavien-Dindo grade ≥ IIIa postoperative complications (odds ratio, 2.06; 95% CI, 1.01-4.20; and p = 0.05).

The NPS effectively predicts postoperative outcomes in patients with hepatocellular carcinoma.

Inflammatory, nutritional, and immune biomarkers are associated with the prognosis of patients with various tumors. Recently, a comprehensive predictive biomarker, the hemoglobin, albumin, lymphocyte, and platelet (HALP) score, was introduced to predict clinical outcomes. We investigated the prognostic impact of preoperative HALP scores in patients who underwent hepatectomy for colorectal liver metastasis (CRLM).

The subjects of this study were 209 patients who underwent hepatectomy for CRLM between February, 2005 and September, 2023. The HALP score was defined as (albumin [mg/dL] × hemoglobin [g/L] × lymphocyte [count/L]) / platelet [count/L]. The cutoff value was calculated according to the receiver operating characteristic curve based on 3-year survival.

The cutoff value of the HALP score was 35, and a low HALP score was confirmed in 107 patients (51%). Multivariate analysis of disease-free survival identified lymph node metastasis (HR 1.53, p = 0.03), extrahepatic lesions (HR 2.48, p < 0.01), and a low HALP score (HR 2.0, p < 0.01) as independently poor prognostic factors. Multivariate analysis of overall survival identified extrahepatic lesions (HR 2.98, p < 0.01), a high CEA (HR 1.78, p = 0.02), and a low HALP score (HR 1.92, p = 0.02) as independently poor prognostic factors.

The HALP score is a useful prognostic factor for patients undergoing hepatectomy for CRLM.

Background and Objectives: Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy with a poor prognosis. Identifying reliable prognostic factors is crucial for risk stratification and optimizing treatment strategies. This study aimed to evaluate the impact of clinicopathologic factors and systemic inflammatory markers on survival outcomes in patients with MPM. Materials and Methods: This retrospective, multicenter study included 217 patients diagnosed with MPM between January 2009 and March 2024. Data on age, gender, histology, disease stage, treatment modalities, and inflammatory markers such as the neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein/albumin ratio (CAR) were collected. Survival outcomes were analyzed using Kaplan-Meier methods, and prognostic factors were evaluated using Cox regression analysis. Results: CAR was identified as an independent prognostic factor for both overall survival (OS) and progression-free survival (PFS). Patients with CAR < 0.98 had significantly longer OS (87.0 months vs. 14.0 months, p < 0.001) and PFS (17.61 months vs. 8.96 months, p = 0.010). While NLR was significant in univariate analysis (OS: 25.0 months for NLR < 2.58 vs. 21.0 months for NLR ≥ 2.58, p = 0.040), it did not retain significance in the multivariate model (p = 0.180). Epithelioid histology and early-stage disease were strongly associated with improved survival outcomes (OS: 32.0 vs. 11.0 months for epithelioid vs. non-epithelioid histology, p < 0.001; 32.0 vs. 12.0 months for early-stage vs. metastatic disease, p < 0.001). Conclusions: CAR is a strong independent prognostic factor in MPM, reflecting systemic inflammation and nutritional status. Epithelioid histology and early-stage disease are associated with significantly longer survival, underscoring the critical role of early detection in improving patient outcomes.

Locoregional recurrence (LR) is common in locally advanced head and neck cancer (HNSCC), posing challenges for treatment. We analysed outcome parameters and toxicities for patients being treated with radiotherapy (RT) for LR-HNSCC and investigated patient and disease related prognostic factors in this prognostically unfavourable group.

This analysis includes 101 LR-HNSCC patients treated with RT, radio-chemotherapy (RCT) or radio-immunotherapy (RIT) between 2010 and 2018 at a high-volume tertiary centre. Patient characteristics, tumour and treatment details were retrospectively collected. Overall survival (OS), progression-free survival (PFS) and toxicities according to Common Terminology Criteria for Adverse Events (CTCAE) v5.0 were assessed.

62% of patients were radiotherapy-naïve (initial RT group) while 38% were re-irradiated at site of LR (re-RT group). Median OS for initial RT was 24 months, for re-RT 12 months (p < 0.01). In the RCT subgroup, patients with initial RT had significantly longer OS with 35 months compared to re-RT 12 months (p < 0.05). Patients with UICC grade IV tumours and percutaneous endoscopic gastrostomy (PEG) tube had significantly shorter OS in multivariate analysis: initial RT 13 vs. re-RT 32 months and initial RT 12 vs. re-RT 32 months respectively. Salvage surgery before RT at recurrence was a positive prognostic factor for OS (initial RT 35 vs. re-RT 12 months). Other significant factors for longer OS in univariate analysis included low inflammatory status (Glasgow Prognostic Score 0) and radiation doses ≥ 50 Gy. We detected 37 (15%) ≥ CTCAE Grade 3 events for initial RT and 19 (15%) for re-RT patients.

In this analysis, we identified key prognostic factors including PEG tube and inflammation status that could guide treatment decision. Our findings suggest salvage surgery as preferred treatment option with postoperative RT at LR. Adverse events due to re-RT were acceptable. A radiation dose of ≥ 50 Gy should be administered to achieve better outcomes.

Gastrointestinal stromal tumors (GISTs) have malignant potential, and treatment varies according to risk. However, no specific protocols exist for preoperative assessment of the malignant potential of gastric GISTs (gGISTs). This study aimed to use machine learning (ML) to develop and validate clinically relevant preoperative models to predict the malignant potential of gGISTs.

This study screened patients diagnosed with gGISTs at the Affiliated Hospital of North Sichuan Medical College. Moreover, this study employed the Least Absolute Shrinkage and Selection Operator (LASSO) and logistic regression to identify risk factors. Subsequently, an ensemble of ML models was used to determine the optimal classifier. In addition, this study used SHapley Additive exPlanations (SHAP) for tailored risk profiling.

This study included 318 patients with gGISTs. Using LASSO regression and multifactorial logistic regression, this study analyzed the training dataset, revealing that the presence of endoscopic ultrasound (EUS) high-risk features, tumor border clarity, tumor diameter, and monocyte-to-lymphocyte ratio (MLR) were significant predictors of high malignancy risk in gGIST. As determined by our ML approach, the logistic classification model demonstrated optimal performance, with area under the receiver operating characteristic curves of 0.919 for the training set and 0.925 for the test set. Furthermore, decision curve analysis confirmed the clinical relevance of the model.

High-risk EUS features, ill-defined tumor margins, larger tumor diameters, and elevated MLR independently predicted increased malignant potential in gGIST. This study developed logistic regression models based on these factors, which were further interpreted using the SHAP methodology. This analytical approach facilitated personalized therapeutic decision-making among diverse patient populations.

Inflammation significantly impacts chronic kidney disease (CKD) and acute myocardial infarction (AMI). This study investigates the prognostic value of inflammatory markers in predicting outcomes for CKD patients with AMI.

We enrolled patients diagnosed with CKD concomitant with AMI, choosing five inflammatory markers related to both diseases. Patients were categorized into elevated inflammatory markers group and control group based on inflammatory markers cut-off values for predicting in-hospital major adverse cardiac and cerebrovascular events (MACCE). Using univariate and multivariate logistic regression, we identified inflammation-related risk factors for MACCE. We adjusted covariates stepwise to explore the relationship between independent risk factors and adverse outcomes. We also evaluated the predictive value of these markers for MACCE by receiver operating characteristic (ROC) curves.

In the multivariate logistic regression analysis, higher levels of neutrophil-to-lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) significantly increased risk of MACCE (all P < 0.05). After adjusting above two indicators, NLR was independently associated with in-hospital MACCE in CKD patients with AMI (OR = 10.764, 95% CI: 1.887-61.406, P = 0.007). Furthermore, compared to other inflammatory markers, NLR had the highest predictive value for MACCE in patients with AMI and CKD [Area Under the Curve (AUC): 0.748, 95% Confidence Interval (CI): 0.634-0.861, P < 0.001].

In CKD patients combined with AMI, elevated levels of inflammation markers could increase the risk of MACCE. NLR may provide superior predictive value compared to other markers.

The development of tumor is closely linked to inflammation. Therefore, targeting molecules involved in inflammation may be effective in predicting cancer prognosis. Transarterial chemoembolization (TACE) holds significant therapeutic significance in addressing hepatocellular carcinoma (HCC). At present, no studies have evaluated the predictive value of γ-glutamyl transferase to albumin ratio (GAR) on the prognosis of HCC undergoing TACE.

To explore the potential prognostic significance of the GAR in individuals undergoing TACE for HCC.

A total of 1231 patients from seven hospitals in China were randomized into a training cohort (n = 862) and a validation cohort (n = 369). To establish independent prognostic factors for overall survival (OS), we utilized multivariate and univariate Cox regression models. The best cut-off value of the GAR was determined with the X-tile software, with OS as the basis. Validations were performed using dual therapy cohort and triple therapy cohort.

X-tile software revealed a GAR threshold of 4.75 as optimal. Both pre- and post-propensity score matching analyses demonstrated that the median OS in the low-GAR group (< 4.75) was notably longer compared to the high-GAR group (≥ 4.75), showing results of 26.9 vs 9.8 months (P < 0.001) initially, and 18.1 vs 11.3 months (P < 0.001) after match. Furthermore, multivariate analysis identified GAR ≥ 4.75 as an independent prognostic factor (P < 0.001). The receiver operating characteristic curves for the nomogram showed area under receiver operating characteristic curves of 0.741, 0.747, and 0.708 for predicting 1-, 2-, and 3-year survival, respectively. Consistent findings were reiterated in the two cohorts involving TACE in combination with targeted therapy and TACE in combination with targeted therapy and immunotherapy. Calibration curve and decision curve analyses substantiated the model's relatively robust predictive capabilities.

Our study validates the effective prognostic capacity of the GAR-based nomogram for HCC patients undergoing TACE or TACE in combination with systemic therapy.

Glucose-to-lymphocyte ratio (GLR) plays an important role in the prognosis of various tumors. The aim of this study was to comprehensively evaluate the prognostic value of GLR in solid tumors through the meta-analysis.

A comprehensive search of eligible studies was performed by scrutinizing the Pubmed, Embase and Web of science databases until May 30, 2024. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to evaluate overall survival (OS), disease-free survival (DFS) and recurrence free survival (RFS).

A total of 22 studies from 14 articles involving 9472 patients were included in the study. The pooled analysis showed that cancer patients with high GLR was significantly associated with unfavorable OS (HR:1.48,95% CI:1.34-1.63) and DFS/RFS (HR:2.20,95% CI:1.66-2.92). Subgroup analysis further showed that high GLR had better predictive value in liver cancer (HR:2.66, 95%CI:1.80-3.93), breast cancer (HR:2.13, 95%CI:1.10-4.13) and pancreatic cancer (HR:1.92, 95%CI:1.30-2.84).

GLR can be used as an effective prognostic marker in patients with solid tumors.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, often linked to chronic inflammation. Our study aimed to probe inflammation pathways at the genetic level and pinpoint biomarkers linked to HCC patient survival.

We analyzed gene transcriptome data from 246 resectable stage I and II HCC patients from The Cancer Genome Atlas (TCGA). After selecting 917 inflammation-related genes (IRGs), we identified 104 differentially expressed genes (DEGs) through differential expression analysis. Two significant prognostic DEGs, S100A9 and PBK, were identified using LASSO and Cox regression, forming the basis of a risk score model. We conducted functional enrichment and immune landscape analyses, validated our findings on 170 patients from the GSE14520 dataset, and performed mutational analysis using TCGA somatic mutation data.

We analyzed 296 samples (246 HCC, 50 normal liver), showing significant survival differences between high and low-risk groups based on our risk score model. Functional enrichment analysis unveiled inflammation-associated pathways. Validation using the GSE14520 dataset confirmed our risk score's predictive ability, and we explored clinical correlations.

Our study delineates inflammation-related genomic changes in HCC, unveiling prognostic biomarkers with potential therapeutic implications. These findings deepen our understanding of HCC molecular mechanisms and may guide personalized therapeutic approaches, ultimately improving patient outcomes.

In addition to blood test data, inflammation-based prognostic markers have been used to predict the prognosis of various types of cancer. However, several of these previous studies may be outdated, as they were conducted prior to the widespread adoption of immune checkpoint inhibitors, leading to limited reports on their efficacy. The present study aimed to assess the accuracy of different inflammation-based prognostic markers in patients with advanced or recurrent gastric cancer undergoing nivolumab monotherapy as salvage-line chemotherapy. In a retrospective cohort study across Japan, a total of 159 patients with advanced or recurrent gastric cancer who were treated with nivolumab between September 2017 and March 2020 were selected. Blood test data were collected within 14 days of the start of chemotherapy and 17 inflammation-based prognostic markers were evaluated. Cox regression analysis was performed using all patient background factors. Subsequently, model selection was performed using backward elimination based on the Akaike information criterion (AIC) to obtain effective background factors which could be assessed for their impact on patient survival. For each marker, the magnitude of the impact on the survival rate, after adjusting for the background factors, was assessed using concordance and AIC analyses. A total of 159 patients (female, 30.2%; median age, 70 years) were included in the present study. Most patients received platinum, fluoropyrimidine and taxane treatment, with a median of three prior lines of systemic therapy. With a median follow-up of 3.3 months (95% CI, 2.5-3.8), median overall survival and time to treatment failure were 3.8 months (95% CI, 3.3-4.5) and 1.8 months (95% CI, 1.8-2.3), respectively. Amongst the 17 markers analyzed, the modified Glasgow prognostic score (mGPS) was classed as the most useful factor that affected the survival rate of patients. Real-world data showed that mGPS, an inflammation-based prognostic marker, had the strongest correlation with prognosis in patients with advanced or recurrent gastric cancer receiving nivolumab monotherapy. The present study was registered as a clinical trial with the UMIN Clinical Trial Registry (http://www.umin.ac.jp/ctr/index.htm) under the trial registration number UMIN000050590 on 15th March 2023.

Background: This study aimed to determine whether the prealbumin prognostic score (PPS), a novel indicator using prealbumin instead of albumin in the modified Glasgow Prognostic Score (mGPS), is a better predictive marker postoperatively in patients with gastric cancer. Methods: This retrospective study included consecutive patients who underwent radical gastrectomy for primary pStages I-III gastric cancer between 2006 and 2017. The cutoff values for preoperative prealbumin and C-reactive protein (CRP) were 22 mg/dL and 0.5 mg/dL, respectively. According to the prealbumin and CRP levels, a PPS of zero was defined as both being above the cutoff value, of one as either being below the cutoff value, and of two as both being below the cutoff value. Results: Of the 4663 patients, 3421 (73.4%) had a score of zero, 984 (21.1%) had a score of one, and 258 (5.5%) had a score of two. The higher the PPS, the poorer the overall survival [OS] (p < 0.001). When comparing OS by the PPS in patients with an mGPS of zero, a PPS of one indicated poorer OS than a PPS of zero (p < 0.001). In the multivariate analysis, PPSs of one (hazard ratio [HR]: 1.603; 95% confidence interval [CI]: 1.378-1.866; p < 0.001) and two (HR: 1.322; 95% CI: 1.055-1.656; p = 0.015) were independent poor prognostic factors for OS. Conclusions: The PPS, which is based on a combination of prealbumin and CRP levels, can identify a wider range of patients with poor OS than mGPS in patients with gastric cancer after gastrectomy.

Background and objectives: Sjögren Syndrome (SS) is a chronic, systemic, and progressive autoimmune disease in which inflammatory processes play a role. Dry eyes or mouth are present in approximately 95-98% of patients with pSS. This study aimed to evaluate the relationship between SII level and disease activity as well as dry eye involvement in patients with pSS. Materials and methods: A cross-sectional design was employed, and a total of 28 female patients who were aged 18-65 years and were diagnosed with pSS were involved. The Sjögren Syndrome Disease Activity Index (ESSDAI) was calculated in patients. The Schirmer test was applied to all patients. The relationship between SII level and disease activity as well as dry eye involvement in pSS patients was evaluated. Results: In our study, a strong positive correlation was found between the SII value and pSS disease activity, while a negative correlation was found between the Schirmer test, which shows dry eye findings, and eye drying time, and a positive correlation was found with the OSDI. Conclusions: this study reported a correlation between hematological parameters and the development of dry eye in pSS. NLR, PLR, and SII showed statistically significant changes in pSS patients.

Surgical trauma can induce systemic inflammation. The selected anesthesia method may modulate the inflammatory response and surgical results in the inflammatory process that occurs during surgical trauma. In this retrospective study, we aimed to compare the anti-inflammatory effects of general anesthesia and peripheral nerve block (infraclavicular block). Demographic, clinical, and laboratory records (hemogram, total leukocyte count, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and mean platelet volume) were obtained from the archival data. The patients were divided into 2 groups: Group G, who received general anesthesia, and Group P, who received a peripheral nerve block (infraclavicular block) for forearm surgery. The amount of opioid consumed postoperatively was significantly lower in Group P. Infraclavicular block as an alternative to general anesthesia was found to be associated with a significant decrease in the neutrophil-to-lymphocyte ratio, total leukocyte count, and platelet-to-lymphocyte ratio levels compared to those observed after general anesthesia. Peripheral nerve blocks may play a role in reducing inflammation and alleviating stress.

The review discusses the significant impact of cancer on patients, particularly focusing on cachexia - a condition marked by weight and lean tissue loss. This condition critically affects the nutritional status, quality of life, and treatment outcomes of cancer patients.

The review seeks to understand the effectiveness and necessity of routine clinical monitoring of cancer cachexia, and how it can aid in better therapeutic interventions.

The systematic review followed a pre-defined protocol based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)statement. A systematic search using specific keywords was conducted in PubMed and EMBASE databases on October 24, 2023, supplemented by citations from the original papers. The selection process involved screening titles and abstracts for relevance.

The review finds varying levels of effectiveness in the different measurement criteria used for monitoring cachexia. It highlights the potential of the Global Leadership Initiative on Malnutrition (GLIM) framework in defining and managing cancer cachexia, though noting some challenges in standardisation and implementation of measurements.

The present systematic review highlights the variability and lack of standardization in the application of GLIM criteria for monitoring cachexia in cancer patients. Despite these challenges, it will be important to determine the most efficacious clinically routine nutritional and inflammation assessments in the routine application of GLIM criteria assessment.

This study aimed to investigate the prognostic value of the geriatric nutritional risk index (GNRI) in patients with non-metastatic clear cell renal cell carcinoma (ccRCC) who underwent nephrectomy.

Patients with non-metastatic ccRCC who underwent nephrectomy between 2013 and 2021 were analyzed retrospectively. The GNRI was calculated within one week before surgery. The optimal cut-off value of GNRI was determined using X-tile software, and the patients were divided into a low GNRI group and a high GNRI group. The Kaplan-Meier method was used to compare the overall survival (OS), cancer-specific survival (CSS) and recurrence-free survival (RFS) between the two groups. Univariate and multivariate Cox proportional hazard models were used to determine prognostic factors. In addition, propensity score matching (PSM) was performed with a matching ratio of 1:3 to minimize the influence of confounding factors. Variables entered into the PSM model were as follows: sex, age, history of hypertension, history of diabetes, smoking history, BMI, tumor sidedness, pT stage, Fuhrman grade, surgical method, surgical approach, and tumor size.

A total of 645 patients were included in the final analysis, with a median follow-up period of 37 months (range: 1-112 months). The optimal cut-off value of GNRI was 98, based on which patients were divided into two groups: a low GNRI group (≤ 98) and a high GNRI group (> 98). Kaplan-Meier analysis showed that OS (P < 0.001), CSS (P < 0.001) and RFS (P < 0.001) in the low GNRI group were significantly worse than those in the high GNRI group. Univariate and multivariate Cox analysis showed that GNRI was an independent prognostic factor of OS, CSS and RFS. Even after PSM, OS (P < 0.05), CSS (P < 0.05) and RFS (P < 0.05) in the low GNRI group were still worse than those in the high GNRI group. In addition, we observed that a low GNRI was associated with poor clinical outcomes in elderly subgroup (> 65) and young subgroup (≤ 65), as well as in patients with early (pT1-T2) and low-grade (Fuhrman I-II) ccRCC.

As a simple and practical tool for nutrition screening, the preoperative GNRI can be used as an independent prognostic indicator for postoperative patients with non-metastatic ccRCC. However, larger prospective studies are necessary to validate these findings.

Although albumin-globulin ratio (AGR) has been used in the prognostic assessment of multiple solid malignancies, so far no research has confirmed the prognostic significance of AGR as a biomarker for urachal carcinoma. We analyzed the relationship between AGR and prognosis in urachal carcinoma, aiming to identify a promising prognostic biomarker for urachal carcinoma.

We reviewed the clinical data of 25 patients diagnosed with urachal carcinoma in the Xiangya Hospital, Central South University, from January 2008 to October 2021. The best cut-off value of preoperative AGR was determined according to the receiver operator characteristic curve. The Kaplan-Meier curve was used to analyze the effect of preoperative AGR on the overall survival (OS) and relapse-free survival (RFS) of patients. Cox proportional hazards model was used to analyze prognostic factors including preoperative AGR.

The best cut-off value of preoperative AGR in urachal carcinoma patients is 1.45. Low preoperative AGR is significantly associated with worse OS and RFS. Univariate analysis and multivariate analysis indicated that low preoperative AGR is an independent and reliable factor to predict poor prognosis, OS, and RFS in urachal carcinoma patients.

Urachal carcinoma patients with low preoperative AGR have worse prognosis, and preoperative AGR is a valuable prognostic indicator for urachal carcinoma research.

Inflammation plays a crucial role in prostate cancer (PCa) progression and mortality. This study aimed to investigate the predictive value of the inflammatory burden index (IBI) and its components for mortality risk among men aged 40 years and older.

A total of 7,344 participants from the NHANES 2001-2010 were included. High PCa risk was defined as a %fPSA greater than 25% and a tPSA level less than 4.0 ng/mL. Cox regression and logistic regression analyses were conducted to assess the association between IBI, PCa risk, and mortality. Receiver operating characteristic (ROC) curve analysis and random survival forest (RSF) model were utilized to evaluate the predictive value of IBI and its components for mortality.

Elevated IBI levels were significantly associated with an increased risk of all-cause mortality (HR = 1.08 [1.05-1.10]) and cancer mortality (HR = 1.11 [1.07-1.15]). High-risk PCa cases also exhibited elevated mortality risk (all-cause: HR = 1.35 [1.19-1.54]; cancer: HR = 1.65 [1.27-2.14]). Additionally, the combined effect of elevated IBI levels and high PCa risk showed a synergistic impact on mortality outcomes (all-cause: HR = 1.49 [1.27-1.74]; cancer: HR = 1.76 [1.29-2.40]). ROC curve analysis revealed that IBI had the highest AUC for predicting all-cause mortality (AUC = 0.690 at 3 years, 0.622 at 5 years, 0.634 at 10 years, and 0.632 at 15 years) compared to its individual components (CRP, NEU, LYM). RSF analysis highlighted IBI as the most significant predictor of all-cause and cancer mortality.

The combined effect of elevated IBI levels and high PCa risk demonstrated a synergistic impact on increased mortality risk among men aged 40 years and older. IBI demonstrated superior predictive performance for mortality outcomes compared to individual inflammatory markers. These findings underscore the potential utility of IBI as a prognostic biomarker for mortality risk assessment in individual with high PCa risk.

Colorectal cancer (CRC) continues to be a major health concern in today's world. Despite conflictive findings, evidence supports systemic inflammation's impact on CRC patients' survival rates. Therefore, this study aims to assess the prognostic role of the innate immune system in patients with CRC.

A total of 449 patients were included, with a 5-year follow-up period, and absolute neutrophil counts and their related ratios were measured.

The non-survival group had increased levels of white blood cells, neutrophils (both p<0.001), and monocytes (p=0.038), compared to the survival group, along with other neutrophil-related ratios. We observed increased mortality risk in patients in the highest tertile of white blood cells [HR=1.85 (1.09-3.13), p<0.05], neutrophils [HR=1.78 (95% CI: 1.07-2.96), p<0.05], and monocytes [HR=2.11 (95% CI: 1.22-3.63)], compared to the lowest tertile, after adjusting for all clinicopathological variables. Random forest analysis identified neutrophils as the most crucial variable in predicting survival rates, having an AUC of 0.712, considering all clinicopathological variables. A positive relationship between neutrophil counts and metastasis was observed when neutrophil counts are considered continuous (β=0.92 (0.41), p<0.05) and tumor size (width) when neutrophils were considered as logistic variable (T1 vs T3) [OR=1.42, (95% CI: 1.05-1.98), p<0.05].

This study offers comprehensive insights into the immune factors that impact the prognosis of CRC, emphasizing the need for personalized prognostic tools.

The cross-sectional area of skeletal muscles at the level of the third lumbar vertebra (L3) measured from computed tomography (CT) images is an established imaging biomarker used to assess patients' nutritional status. With the increasing prevalence of low-dose CT scans in clinical practice, accurate and automated skeletal muscle segmentation at the L3 level in low-dose CT images has become an issue to address. This study proposed a lightweight algorithm for automated segmentation of skeletal muscles at the L3 level in low-dose CT images.

This study included 57 patients with rectal cancer, with both low-dose plain and contrast-enhanced pelvic CT image series acquired using a radiotherapy CT scanner. A training set of 30 randomly selected patients was used to develop a lightweight segmentation algorithm, and the other 27 patients were used as the test set. A radiologist selected the most representative axial CT image at the L3 level for both the image series for all the patients, and three groups of observers manually annotated the skeletal muscles in the 54 CT images of the test set as the gold standard. The performance of the proposed algorithm was evaluated in terms of the Dice similarity coefficient (DSC), precision, recall, 95th percentile of the Hausdorff distance (HD95), and average surface distance (ASD). The running time of the proposed algorithm was recorded. An open source deep learning-based AutoMATICA algorithm was compared with the proposed algorithm. The inter-observer variations were also used as the reference.

The DSC, precision, recall, HD95, ASD, and running time were 93.2 ± 1.9% (mean ± standard deviation), 96.7 ± 2.9%, 90.0 ± 2.9%, 4.8 ± 1.3 mm, 0.8 ± 0.2 mm, and 303 ± 43 ms (on CPU) for the proposed algorithm, and 94.1 ± 4.1%, 92.7 ± 5.5%, 95.7 ± 4.0%, 7.4 ± 5.7 mm, 0.9 ± 0.6 mm, and 448 ± 40 ms (on GPU) for AutoMATICA, respectively. The differences between the proposed algorithm and the inter-observer reference were 4.7%, 1.2%, 7.9%, 3.2 mm, and 0.6 mm, respectively, for the averaged DSC, precision, recall, HD95, and ASD.

The proposed algorithm can be used to segment skeletal muscles at the L3 level in either the plain or enhanced low-dose CT images.