Development and validation of a novel strong prognostic index for colon cancer through a robust combination of laboratory features for systemic inflammation: a prognostic immune nutritional index

Linking MPV and NLR to TI-RADS: improved predictive accuracy for thyroid malignancy

The incidence of papillary thyroid cancer has fluctuated, partly due to advancements in neck ultrasonography and fine-needle aspiration (FNA). Identifying additional markers to differentiate benign from malignant thyroid nodules could optimize patient management and reduce unnecessary procedures. This retrospective study included 355 patients categorized into those without nodules (group 1) and those with nodules (group 2). FNA results classified nodules as benign (group A) or malignant (group B). The Pearson and Spearman correlations, Student t test, Mann-Whitney U test, and receiver operating characteristic curve analysis calculated and compared inflammatory markers across groups. The study cohort included 126 patients without nodules (group 1), and 229 patients with nodules (group 2) of whom 39 were diagnosed with papillary thyroid cancer. The median age was 56, with 54.4% females and 45.6% males. Receiver operating characteristic analysis revealed significant but poor diagnostic performance for mean platelet volume (MPV) and neutrophil-to-lymphocyte ratio (NLR), with optimal cutoff values of 10.1 and 1.60, respectively (P < .001; area under the curve: 0.30), and P < .001, area under the curve: 0.24, respectively). Patients with MPV ≥ 10.1 fL had a higher prevalence of thyroid cancer (17.1%) compared to those with MPV < 10.1 fL (5.4%). Patients with NLR ≥ 1.6 exhibited a higher prevalence of thyroid cancer (54.7%) compared to those with NLR < 1.6 (4.6%). Higher MPV and NLR values were also significantly associated with higher thyroid imaging reporting and data system classifications (P < .001 and P = .05, respectively). Elevated MPV and NLR are significantly associated with thyroid cancer and higher thyroid imaging reporting and data system classifications. These markers, combined with ultrasonography and FNA, may aid in differentiating benign from malignant thyroid nodules, potentially improving patient management and reducing unnecessary procedures.

Association between prognostic immune nutritional index and disease-free survival in adults with esophageal cancer following surgery: A retrospective cohort study

INTRODUCTION

The clinical significance of the prognostic immune nutritional index in esophageal cancer has not been elucidated. The aim of this study was to evaluate the utility of the preoperative prognostic immune nutritional index in predicting oncological outcomes and the incidence of surgical site infection in patients with esophageal cancer.

METHODS

We analyzed preoperative prognostic immune nutritional index from 150 esophageal cancer patients who underwent surgical treatment between 2008 and 2018 to clarify its clinical relevance.

RESULTS

Patients with low preoperative prognostic immune nutritional index exhibited poor disease-free survival and overall survival (P = 0.030 and P < 0.001, respectively). Although statistical significance was not observed in the multivariate analysis, low prognostic immune nutritional index showed a tendency toward poorer disease-free survival (hazard ratio [HR]: 2.02; 95% confidence interval [CI]: 0.88-4.61; P = 0.096). Regarding overall survival, multivariate analysis revealed that low preoperative prognostic immune nutritional index was an independent prognostic factor for overall survival (HR: 2.67; 95% CI: 1.39-5.16; P = 0.003). Moreover, the low preoperative prognostic immune nutritional index was associated with a tendency toward an increased risk of surgical site infection (odds ratio: 2.38; 95% CI: 0.96-5.91; P = 0.062). In the subgroup analysis of patients who did not receive neoadjuvant therapy, low preoperative prognostic immune nutritional index was identified as an independent prognostic factor for disease-free survival (HR: 3.11; 95% CI: 1.00-9.71; P = 0.050) and overall survival (HR: 5.04; 95% CI: 1.80-14.13; P = 0.002).

CONCLUSION

The preoperative prognostic immune nutritional index is a useful marker for perioperative and oncological management of esophageal cancer patients.

Not all colon cancer patients with preoperative hyperinflammatory status are at high risk of muscle loss and poor prognosis

PURPOSE

Growing evidence indicates that preoperative hyperinflammation is an independent risk factor for postoperative sarcopenia and poor prognosis in patients with colon cancer. However, inflammation fluctuates with tumor burden and immune status after surgery, and its role in muscle degradation remains unclear. This study aimed to explore the impact of different inflammatory trajectories on muscle wasting.

METHODS

This retrospective study included 193 patients who are diagnosed with stage II or III colon cancer between 2015 and 2021. The preoperative and postoperative neutrophil-to-lymphocyte ratio (NLR) and prognostic immunological and nutritional index (PINI) were used to assess inflammation, and the subjects divided into four groups: a group with consistently low inflammation (G1), a group with initially high but postoperative decreased inflammation (G2), a group with initially low but postoperative increased inflammation (G3), and a group with consistently high inflammation (G4). Logistic regression identified risk factors for postoperative sarcopenia, while multivariate linear regression assessed the impact of inflammation on skeletal muscle index (SMI%) and density loss rate (SMD%). Cox models calculated overall survival (OS) and recurrence-free survival (RFS).

RESULTS

For all the assessed markers, the SMI% and SMD% in G4 significantly increased compared to G1 (P < 0.05), while G2 and G3 showed no significant change at 12 months (P > 0.05). Elevated inflammation was an independent risk factor for postoperative sarcopenia (P < 0.05). Postoperative sarcopenia and PINI in G4 independently influenced OS and RFS.

CONCLUSIONS

Only patients with persistent postoperative inflammation, not all patients with preoperative inflammation, are at increased risk for muscle wasting and poor prognosis. These findings suggest that modulating postoperative inflammation could reduce muscle loss and improve survival; these findings guide the future development of anti-inflammatory therapies for suitable populations.

Clinical value of systemic immunoinflammatory index in predicting recurrence and metastasis in patients with primary liver cancer

BACKGROUND

Primary liver cancer is a highly aggressive neoplasm with high incidence and mortality. Due to the high ability to metastasis, the 5-year survival rate of patients with primary liver cancer is poor.

AIM

To investigate the clinical value of systemic immunoinflammatory index (SII) in predicting recurrence and metastasis after interventional therapy in patients with primary liver cancer.

METHODS

Total 186 patients with primary liver cancer were included and underwent Transcatheter arterial chemoembolization (TACE), and followed up for 3 years. Then, patients were divided into 110 cases in the recurrent metastasis group and 76 cases in the non-recurrent metastasis group according to presence or absence of recurrence and metastasis. Baseline data, SII and alpha-fetoprotein (AFP) levels were compared. Cox proportional hazards regression analysis was used to analyze factors affecting recurrence and metastasis. ROC curve was used to analyze SII and AFP levels in predicting recurrence and metastasis after interventional therapy in patients. Kaplan-Meier survival curves were used to evaluate the survival of patients.

RESULTS

The SII index and AFP levels in the recurrence and metastasis group were higher than those in the non-recurrence and metastasis group (P < 0.001). Cox proportional hazards regression analysis confirmed tumor size ≥ 5 cm, presence of vascular tumor thrombus, presence of vascular invasion, no tumor capsule, SII index, AFP Levels were closely related to the recurrence and metastasis of patients with primary liver cancer (P < 0.05). ROC curve analysis showed that AUC of SII and AFP predicted recurrence and metastasis after intervention were 0.797 and 0.839, respectively, and the jointed AUC was 0.910. After a 3-years of follow-up, the overall survival rate of the 186 patients was 45.70% (85/186). Kaplan-Meier survival curve analysis showed that patients with high SII levels had shorter survival time than that of patients with low SII levels (P < 0.05).

CONCLUSION

Preoperative SII was closely associated with early recurrence and metastasis, and combined with AFP may have higher value in predicting recurrence and metastasis after interventional therapy in patients with primary liver cancer.

The inflammatory markers and locoregional pathological results both have an impact on the prognosis of oral squamous cell carcinoma in patients who have undergone neck dissection

BACKGROUND

Locoregional surgical pathology, with surgical margins at the primary site and lymph node (LN) metastasis, particularly extranodal extension (ENE), plays an important role in the prognosis of oral squamous cell carcinoma (OSCC). In addition, systemic inflammatory response and nutritional status are associated with poor prognosis.

PURPOSE

This study aimed to comprehensively assess the effect of inflammatory markers and locoregional factors on the prognosis of patients with OSCC who underwent neck dissection (ND).

METHODS

This retrospective cohort study included patients who had undergone ND for OSCC between 2013 and 2021. The primary predictive variables were the weighted lymph node ratio (WLNR) and inflammatory markers. Primary outcome variables were overall survival (OS) and disease-free survival (DFS).

RESULTS

Among 153 patients (99 males, 54 females), 55 (35.9 %) had LN metastasis and 11 (7.2 %) exhibited ENE. The inflammatory markers lymphocyte/monocyte ratio (LMR), monocyte/albumin ratio (MAR), C-reactive protein/albumin ratio (CAR), and WLNR demonstrated significant cut-off values for survival, with values of 4.805, 104.72, 0.041, and 0.0235, respectively. The Cox proportional hazards model revealed significant differences in age, WLNR, LMR, MAR, CAR, and vascular, lymphatic, and perineural invasion (Pn). Multivariate analysis indicated that the hazard ratios (95 % confidence intervals) for WLNR (3.416; 1.542-7.566), MAR (2.404; 1.254-4.607), and Pn (2.516; 1.291-4.905) were independent variables for OS.

CONCLUSIONS

In patients with OSCC who underwent ND, the inflammatory marker MAR and locoregional factors WLNR and Pn were simultaneously identified as prognostic factors.

Joint association of physical activity and the geriatric nutritional risk index with survival outcomes among cancer survivors in the United States: a population-based cohort study

Introduction

The relationship between physical activity (PA) and nutritional status on the prognosis of cancer survivors remains underexplored. We aimed to investigate the combined effects of PA and Geriatric Nutritional Risk Index (GNRI) on prognostic assessment of survival outcomes in US cancer survivors.

Methods

2,619 subjects were screened from the National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2018. The self-reported Global Physical Activity Questionnaire (GPAQ) for PA assessment, and the GNRI for nutritional status assessment. Kaplan-Meier (K-M) curves and Cox proportional risk models were used to evaluate the effect of PA combined with GNRI on the prognostic outcomes of death in cancer survivors.

Results

The sufficient PA (≥600 MET min/week) combined with High-GNRI (>98) subgroups significantly reduced the risk of all-cause mortality (HR: 0.56; 95% CI, 0.35-0.90) and cancer-related mortality (HR: 0.24; 95% CI, 0.12-0.50) compared to other subgroups. Subgroup analyses indicated that the combination of sufficient PA and High-GNRI was associated with a significantly reduced all-cause and cancer-related mortality among specific groups-including individuals of female, patients with non-obesity-related cancers, and those with higher educational attainment. After excluding participants who died within the first 12 months of follow-up, sensitivity analyses confirmed the robustness of the association between PA and GNRI in predicting prognostic outcomes among cancer survivors.

Conclusion

Our study shows that among U.S. cancer survivors, sufficient PA combined with High-GNRI is linked to reduced mortality. These findings emphasize the benefits of PA and nutritional status in improving prognosis and support the need for further studies to develop targeted interventions.

Systemic immune-inflammation and prognostic immune nutritional index in oral squamous cell carcinoma patients

Aim: To investigate the systemic immune-inflammation index and prognostic immune nutritional index in the prognostic evaluation of oral squamous cell carcinoma.Materials & methods: We analyzed retrospectively the relationship between systemic immune-inflammation index, prognostic immune nutritional index and clinicopathological variables and the overall survival of 262 patients who underwent radical surgery.Results: Multivariate analysis showed high systemic immune-inflammation index (Hazard ratio = 3.062, 95% CI: 1.021-8.251), low prognostic immune nutritional index (Hazard ratio = 0.297, 95% CI: 0.139-0.636), tumor node metastasis classification 3-4 (Hazard ratio = 9.862, 95% CI: 4.658-20.880) patients have worse overall survival.Conclusion: Preoperative systemic immune-inflammation index and prognostic immune nutritional index are independent risk factors for prognostic survival status in oral squamous cell carcinoma.

Outcomes Following Pedestal Cup Reconstruction of (Impending) Pathological Fractures of the Acetabulum due to Metastatic Bone Disease

Management of periacetabular metastatic bone disease (MBD) is challenging, specifically if associated with bone loss or fracture. The aim of this study was to evaluate the complications and outcomes after undergoing peri-acetabular reconstruction using an 'ice-cream cone' pedestal cup endoprostheses for the most severe cases of (impending) pathological acetabular fractures. Fifty cases with severe periacetabular disease were identified. Acetabular defects were classified using the Metastatic Acetabular Classification (MAC). Pre- and post-operative mobility was assessed using the Eastern Cooperative Oncology Group (ECOG) Performance Status. Pain levels were assessed using a verbal rating scale. Surgical complications and patient survival were analysed; the Prognostic Immune Nutritional Index (PINI) was applied retrospectively to survival. There were 32 females and 18 males with a median age of 65 (41-88). Median post-operative follow-up was 16 months (IQR 5.5-28.5 months). Thirty-nine had complete, and 11, impending pathological fractures. The observed five-year survival was 19%, with a median survival of 16 months (IQR 5.8-42.5 months). Significantly worse survival was observed with PINI scores < 3.0 (p = 0.003). Excluding three perioperative deaths, 13 complications occurred in 12 patients: Implant failure in six patients (four aseptic loosening, one dislocation and one infection). At the final follow-up, mobility and pain levels were improved in 85% and 100%, respectively. Reconstruction of significant pelvic MBD with the 'ice-cream cone' reduces pain and improves mobility. Whilst the mortality rate is high, it remains a reasonable option for bed-bound, immobile patients. We advocate the use of an 'ice-cream cone' prosthesis for selected patients balancing the reported risks with the observed benefits.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13193-024-01917-x.

Machine learning for predicting colon cancer recurrence

INTRODUCTION

Colorectal cancer (CRC) is a global public health concern, ranking among the most commonly diagnosed malignancies worldwide. Despite advancements in treatment modalities, the specter of CRC recurrence remains a significant challenge, demanding innovative solutions for early detection and intervention. The integration of machine learning into oncology offers a promising avenue to address this issue, providing data-driven insights and personalized care.

METHODS

This retrospective study analyzed data from 396 patients who underwent surgical procedures for colon cancer (CC) between 2010 and 2021. Machine learning algorithms were employed to predict CC recurrence, with a focus on demographic, clinicopathological, and laboratory characteristics. A range of evaluation metrics, including AUC (Area Under the Receiver Operating Characteristic), accuracy, recall, precision, and F1 scores, assessed the performance of machine learning algorithms.

RESULTS

Significant risk factors for CC recurrence were identified, including sex, carcinoembryonic antigen (CEA) levels, tumor location, depth, lymphatic and venous invasion, and lymph node involvement. The CatBoost Classifier demonstrated exceptional performance, achieving an AUC of 0.92 and an accuracy of 88 % on the test dataset. Feature importance analysis highlighted the significance of CEA levels, albumin levels, N stage, weight, platelet count, height, neutrophil count, lymphocyte count, and gender in determining recurrence risk.

DISCUSSION

The integration of machine learning into healthcare, exemplified by this study's findings, offers a pathway to personalized patient risk stratification and enhanced clinical decision-making. Early identification of individuals at risk of CC recurrence holds the potential for more effective therapeutic interventions and improved patient outcomes.

CONCLUSION

Machine learning has the potential to revolutionize our approach to CC recurrence prediction, emphasizing the synergy between medical expertise and cutting-edge technology in the fight against cancer. This study represents a vital step toward precision medicine in CC management, showcasing the transformative power of data-driven insights in oncology.

Comparison of Four Nutritional Screening Tools for Predicting Postoperative Adverse Events Following Degenerative Spinal Deformity Surgery

STUDY DESIGN

A retrospective study.

OBJECTIVE

To compare the mini nutritional assessment-short form (MNA-SF), geriatric nutritional risk index, prognostic nutritional index (PNI), and preoperative serum albumin level as predictors of postoperative adverse events (AEs) in degenerative spine deformity (DSD) patients.

SUMMARY OF BACKGROUND DATA

Although various nutritional screening tools have been well evaluated in patients undergoing spinal fusion surgery, the most suitable tool for the DSD population remains uncertain at present.

PATIENTS AND METHODS

The authors reviewed consecutive patients who underwent thoracolumbar fusion surgery for DSD between August 2016 and May 2023. Four screening tools were used to assess preoperative nutritional status. Patients were divided into two categories according to each screening tool, and the four screening tools were compared regarding their predictive power for postoperative AEs, including the rates of extended length of hospital stays (LOS), complications, and readmission within three months. Physical functional indicators such as time to first ambulation, nonhome discharge, and postoperative LOS were assessed as secondary outcome measures. A multivariable logistic regression analysis was used to identify factors associated with postoperative AEs.

RESULTS

A total of 228 patients were included. The demographic characteristics, underlying disease, and magnitude of correction were not significantly different between well-nourished and malnourished groups. The nutritional risks shown by MNA-SF and albumin level were significantly associated with infectious complications ( P <0.05). The nutritional risk shown by MNA-SF was significantly associated with nonhome discharge, prolonged postoperative LOS (12.5±8.2 vs. 10.3±6.1, P =0.039), and delayed ambulation (3.7±2.1 vs. 2.2±1.8, P =0.001). Multivariable logistic regression revealed that PNI <50 was significantly associated with total AEs and minor AEs after DSD surgery.

CONCLUSIONS

PNI was significantly associated with the incidence of total AEs and minor AEs, while preoperative albumin level and MNA-SF were more effective in predicting postoperative infectious complications and delayed recovery of physical function, respectively.

LEVEL OF EVIDENCE

Level III.

Nutritional status in advanced pancreatic cancer

Background. Exocrine pancreatic insufficiency (EPI) occurs in most patients with advanced pancreatic cancer (PC) and even more often when a tumor is localized in the head of the pancreas. However, insufficient attention is paid to the diagnosis of EPI and assessment of nutritional status, which negatively affects the results of treatment. Materials and methods. One hundred fifty eight patients with primary diagnosed locally advanced and metastatic PC were included in the retrospective study. We used the calculation of the odds ratio with 95% CI with an assessment of the p value using the Pearson ÷2 test to compare the incidence of clinical and laboratory parameters of nutritional status with values below the lower limit of normal (LLN) depending on the location of the tumor in the pancreas. Results. Fecal elastase test was performed in only 19 (12%) patients. In this group, the incidence of EPI was 73.6%. Pancreatic enzyme replacement therapy in the minimal sufficient dose was prescribed in 17.1% of the general cohort. The level of hemoglobin, erythrocytes and albumin below the LLN was found in patients with the tumor in the pancreatic head, respectively, 2.742 (95% CI 1.27–5.92), 3.788 (95% CI 1.554–9.232) and 9.767 (95% CI 1.255–76.027) times more often than in patients with cancer in the body-tail of the pancreas. In patients with the tumor in the pancreatic head, the lower levels of hemoglobin (median 125 g/l vs 132 g/l, respectively), erythrocytes (4.19 mil/μl vs 4.51 mil/μl), total protein (69.6 g/l vs 71.5 g/l), and albumin (40.1 g/l vs 42 g/l), as well as the values of nutritional indices: prognostic nutritional index, nutritional risk index, hemoglobin, albumin, lymphocyte and platelet ratio index, and prognostic immune nutritional index were observed. Conclusion. Diagnosis and treatment of EPI remains inadequately attended. The values of nutritional status parameters in patients with PC in the head are lower than in patients with a tumor in the body-tail of the pancreas, which reflects the contribution of EPI.

Impact of a novel immune and nutritional score on prognosis in patients with upper urinary tract urothelial carcinoma following radical nephroureterectomy

BACKGROUND

This study aimed to evaluate the clinical significance of a novel immune and nutritional score combining prognostic values of the controlling nutritional status (CONUT) score and prognostic immune and nutritional index (PINI) on long-term outcomes in patients with upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU).

METHODS

This study analyzed 437 consecutive patients with UTUC treated by RNU. Restricted cubic splines were used to visualize the relation of PINI with Survival in patients with UTUC. The PINI was stratified into low- (1) and high-PINI (0) categories. The CONUT score was divided into three groups: Normal (1), Light (2), and Moderate/severe (3). Subsequently, patients were grouped according to CONUT-PINI score (CPS) (CPS group 1; CPS group 2; CPS group 3; and CPS group 4). Survival curves were plotted using the Kaplan-Meier method and log-rank test. The Cox proportional hazards regression model was used to determine the risk factors associated with overall Survival (OS) and cancer-specific Survival (CSS). By comprising independent prognostic factors, a predictive nomogram was constructed.

RESULTS

PINI and CONUT score were identified as independent prognostic factors for OS and CSS. Kaplan-Meier survival analysis showed that the high CPS group was associated with worse OS and CSS than the low CPS group. Multivariate Cox regression and competing risk analyses showed that CPS, LVI, T stage, margin, and pN were independent factors associated with OS and CSS. Based on these five significant factors, we constructed a prognostic model for predicting clinical outcomes. The receiver operating characteristic curve indicated that the model had excellent predictive abilities for survival. The C-index of this model for OS and CSS were 0.773, and 0.789, respectively. The nomogram for OS and CSS showed good discrimination and calibration. Decision curve analysis (DCA) showed that this nomogram has a higher net benefit.

CONCLUSION

The CPS combined the prognostic capacity of PINI and CONUT score and was able to predict patient outcomes in our cohort of UTUC patients. We have developed a nomogram to facilitate the clinical use of the CPS and provide accurate estimates of survival for individuals.

A prognostic immune nutritional index can predict all-cause mortality in patients with antineutrophil cytoplasmic antibody-associated vasculitis

Background

Studies have proposed that nutritional and immune-related markers are relevant with patient outcomes of various medical conditions and could be a useful indicator of patient prognostication.

Objectives

This study investigated whether a prognostic immune nutritional index (PINI) at diagnosis could predict adverse clinical outcomes in patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV).

Design

A retrospective, single-centre observational cohort analysis of patients with AAV.

Methods

All-cause mortality and end-stage renal disease (ESRD) were investigated outcomes during the observation period. PINI was calculated by serum albumin (g/mL) × 0.9 - monocyte count (/mm3) × 0.0007, and the optimal cut-off of PINI was obtained using a Youden index-based bootstrapping method. Cox hazard analyses were performed to identify independent predictors of patient outcomes.

Results

Of the 250 eligible patients, the median age of patients was 60.0 years, and 34.0% were men. During the disease course, 33 (13.2%) died and 42 (16.8%) developed ESRD, respectively. The ideal PINI cut-offs for all-cause mortality and ESRD were set as ⩽2.47 and ⩽3.12 (sensitivity and specificity of 75.1% and 60.6% for mortality and 46.2% and 78.6% for ESRD). AAV patients with PINI ⩽2.47 and those with PINI ⩽3.12 exhibited significantly higher rates for all-cause mortality and ESRD compared to those with PINI >2.47 and >3.12. In the multivariable Cox analysis, PINI ⩽2.47 (hazard ratio [HR]: 3.173, 95% confidence interval [CI]: 1.129, 8.916, p = 0.029) was independently associated with all-cause patient mortality; however, PINI ⩽3.12 was not independently associated with ESRD (HR: 1.097, 95% CI: 0.419, 2.870, p = 0.850).

Conclusion

Findings from this study demonstrated PINI could predict all-cause patient mortality in AAV, and a higher clinical attention is warranted in those with PINI ⩽2.47 at initial diagnosis.

Prognostic models for upper urinary tract urothelial carcinoma patients after radical nephroureterectomy based on a novel systemic immune-inflammation score with machine learning

PURPOSE

This study aimed to evaluate the clinical significance of a novel systemic immune-inflammation score (SIIS) to predict oncological outcomes in upper urinary tract urothelial carcinoma(UTUC) after radical nephroureterectomy(RNU).

METHOD

The clinical data of 483 patients with nonmetastatic UTUC underwent surgery in our center were analyzed. Five inflammation-related biomarkers were screened in the Lasso-Cox model and then aggregated to generate the SIIS based on the regression coefficients. Overall survival (OS) was assessed using Kaplan-Meier analyses. The Cox proportional hazards regression and random survival forest model were adopted to build the prognostic model. Then we established an effective nomogram for UTUC after RNU based on SIIS. The discrimination and calibration of the nomogram were evaluated using the concordance index (C-index), area under the time-dependent receiver operating characteristic curve (time-dependent AUC), and calibration curves. Decision curve analysis (DCA) was used to assess the net benefits of the nomogram at different threshold probabilities.

RESULT

According to the median value SIIS computed by the lasso Cox model, the high-risk group had worse OS (p<0.0001) than low risk-group. Variables with a minimum depth greater than the depth threshold or negative variable importance were excluded, and the remaining six variables were included in the model. The area under the ROC curve (AUROC) of the Cox and random survival forest models were 0.801 and 0.872 for OS at five years, respectively. Multivariate Cox analysis showed that elevated SIIS was significantly associated with poorer OS (p<0.001). In terms of predicting overall survival, a nomogram that considered the SIIS and clinical prognostic factors performed better than the AJCC staging.

CONCLUSION

The pretreatment levels of SIIS were an independent predictor of prognosis in upper urinary tract urothelial carcinoma after RNU. Therefore, incorporating SIIS into currently available clinical parameters helps predict the long-term survival of UTUC.

Development and validation of a new prognostic immune–inflammatory–nutritional score for predicting outcomes after curative resection for intrahepatic cholangiocarcinoma: A multicenter study

Background

Immune function, nutrition status, and inflammation influence tumor initiation and progression. This was a retrospective multicenter cohort study that investigated the prognostic value and clinical relevance of immune-, inflammatory-, and nutritional-related biomarkers to develop a novel prognostic immune–inflammatory–nutritional score (PIIN score) for patients with intrahepatic cholangiocarcinoma (ICC).

Methods

The clinical data of 571 patients (406 in the training set and 165 in the validation set) were collected from four large hepato-pancreatico-biliary centers of patients with ICC who underwent surgical resection between January 2011 and September 2017. Twelve blood biomarkers were collected to develop the PIIN score using the LASSO Cox regression model. The predictive value was further assessed using validation datasets. Afterward, nomograms combining the PIIN score and other clinicopathological parameters were developed and validated based on the calibration curve, time-dependent AUC curves, and decision curve analysis (DCA). The primary outcomes evaluated were overall survival (OS) and recurrence-free survival (RFS) from the day of primary resection of ICC.

Results

Based on the albumin–bilirubin (ALBI) grade, neutrophil- to- lymphocyte ratio (NLR), prognostic nutritional index (PNI), and systemic immune- inflammation index (SII) biomarkers, the PIIN score that classified patients into high-risk and low-risk groups could be calculated. Patients with high-risk scores had shorter OS (training set, p &lt; 0.001; validation set, p = 0.003) and RFS (training set, p &lt; 0.001; validation set, p = 0.002) than patients with low-risk scores. The high PIIN score was also associated with larger tumors (≥5 cm), lymph node metastasis (N1 stage), multiple tumors, and high tumor grade or TNM (tumor (T), nodes (N), and metastases (M)) stage. Furthermore, the high PIIN score was a significant independent prognostic factor of OS and RFS in both the training (p &lt; 0.001) and validation (p = 0.003) cohorts, respectively. A PIIN-nomogram for individualized prognostic prediction was constructed by integrating the PIIN score with the clinicopathological variables that yielded better predictive performance than the TNM stage.

Conclusion

The PIIN score, a novel immune–inflammatory–nutritional-related prognostic biomarker, predicts the prognosis in patients with resected ICC and can be a reliable tool for ICC prognosis prediction after surgery. Our study findings provide novel insights into the role of cancer-related immune disorders, inflammation, and malnutrition.

Comprehensive comparative analysis of prognostic value of serum systemic inflammation biomarkers for colorectal cancer: Results from a large multicenter collaboration

Background

The incidence of colorectal cancer (CRC) is common and reliable biomarkers are lacking. We aimed to systematically and comprehensively compare the ability of various combinations of serum inflammatory signatures to predict the prognosis of CRC. Moreover, particular attention has been paid to the clinical feasibility of the newly developed inflammatory burden index (IBI) as a prognostic biomarker for CRC.

Methods

The discrimination capacity of the biomarkers was compared using receiver operating characteristic curves and Harrell's C-index. Kaplan-Meier curves and log-rank tests were used to compare survival differences between the groups. Cox proportional hazard regression analysis was used to determine the independent prognostic factors. Logistic regression analysis was used to assess the relationship between IBI, short-term outcomes, and malnutrition.

Results

IBI had the optimal prediction accuracy among the systemic inflammation biomarkers for predicting the prognosis of CRC. Taking IBI as a reference, none of the remaining systemic inflammation biomarkers showed a gain. Patients with high IBI had significantly worse overall survival than those with low IBI (56.7% vs. 80.2%; log-rank P<0.001). Multivariate Cox regression analysis showed that continuous IBI was an independent risk factor for the prognosis of CRC patients (hazard ratio = 1.165, 95% confidence interval [CI] = 1.043-1.302, P<0.001). High IBI was an independent risk factor for short-term outcomes (odds ratio [OR] = 1.537, 95% CI = 1.258-1.878, P<0.001), malnutrition (OR = 2.996, 95% CI = 1.471-6.103, P=0.003), and recurrence (OR = 1.744, 95% CI = 1.176-2.587, p = 0.006) in CRC patients.

Conclusions

IBI, as a reflection of systemic inflammation, is a feasible and promising biomarker for assessing the prognosis of CRC patients.

A Novel Prognostic Index for Metastatic Colon Cancer: The Prognostic Immune Nutritional Index

Objective Systemic inflammation and nutrition are associated with survival outcomes in metastatic colon cancer (mCC) patients. A new and strong prognostic marker named the Prognostic Immune Nutritional Index (PINI) was proposed as the best marker for outcomes in metastatic colon cancer patients. This study aimed to evaluate the prognostic significance of PINI in mCC patients. Methods The data of 190 patients who were admitted to our center and diagnosed with mCC between 2010 and 2020 abiding by our inclusion criteria were reviewed retrospectively. Receiver operating characteristic (ROC) analysis was used to identify the optimum cutoff value of PINI for overall survival (OS). Results The mean age of the participants was 62.64±11.99 years. The median follow-up time was 25.81 months. According to PINI, the median OS in patients who had PINI<3 was 22.70 months (95% confidence interval (CI): 16.05-29.35), and the median OS in patients who had PINI≥3 was 38.83 months (95% CI: 26.98-37.01) (p<0.001). PINI score lower than 3 was an independent prognostic indicator in multivariate analysis. Conclusions PINI was discovered to be an independent prognostic factor in metastatic colorectal cancer. We believe that PINI, which can be calculated using a simple formula, will provide clinicians with important clues when deciding on individual treatment.

Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I-III colorectal cancer

BACKGROUND

To explore the value of preoperative prognostic immune and nutritional index (PINI) in predicting postoperative complications and long-term outcomes in patients with stage I-III colorectal cancer (CRC).

METHODS

Restricted cubic splines were used to assess the relationship between PINI and survival in patients with CRC. The Kaplan-Meier method and log-rank test were used to plot the survival curves. The Cox proportional hazards model was used to evaluate independent prognostic predictors in patients with CRC. A logistic regression analysis was performed to identify independent predictors of postoperative complications. The least absolute shrinkage and selection operator (LASSO) logistic regression algorithm was used for feature screening.

RESULTS

An evident positive dose-response relationship between PINI and survival in patients with CRC was identified. Compared with patients with a high PINI, those with a low PINI had worse disease-free survival (DFS) (47.9% vs. 66.9%, p < 0.001) and overall survival (OS) (49.7% vs. 70.2%, p < 0.001). The Cox proportional hazards model revealed that PINI was independently associated with DFS (hazard ratio [HR], 0.823; 95% confidence interval [CI], 0.754-0.898; p < 0.001) and OS (HR, 0.833; 95% CI, 0.761-0.912; p < 0.001) in patients with CRC. In the logistic regression analysis, PINI was an independent factor affecting postoperative complications in patients with CRC (odds ratio, 0.710; 95%CI: 0.610-0.810, p < 0.001). The LASSO logistic regression algorithm was used to screen for effective prognostic variables. Finally, we constructed PINI-based nomograms to predict postoperative 1-5-year PFS, and OS in patients with CRC.

CONCLUSION

PINI is an effective biomarker for predicting postoperative complications, DFS, and OS in patients with stage I-III CRC.