Prognostic significance of preoperative PNI and CA19-9 for pancreatic ductal adenocarcinoma: A multi-institutional retrospective study

Prognostic significance of preoperative lymphocytes, albumin, and neutrophils (LANR) index in resectable pancreatic ductal adenocarcinoma

PURPOSE

The index composed of preoperative lymphocytes, albumin, and neutrophils (LANR), a new composite score based on inflammatory response and nutritional status, has been reported to be associated with the prognosis of multiple types of cancer, but the role of LANR in the prognosis of resectable pancreatic ductal adenocarcinoma (PDAC) has not yet been elucidated.

PATIENTS AND METHODS

The data of 142 patients with PDAC who underwent radical resection in the Affiliated Hospital of Jiangnan University from January 2015 to December 2018 were retrospectively analyzed. Receiver Operating Characteristic (ROC) curves were generated to determine the optimal cut-off values for these parameters, as well as the sensitivity and specificity of LANR in predicting survival. The Kaplan-Meier method was used to draw the survival curves. Log rank test was used for univariate analysis, and Cox proportional hazards regression model was used for multivariate analysis.  RESULTS: The optimal cut-off value of LANR was 18.145, and a low preoperative LANR was significantly correlated with the location of the tumor (p = 0.047). Multivariate analysis showed that tumor differentiation degree (HR:2.357, 95%CI:1.388-4.003,p = 0.002), lymph node metastasis (HR:1.755, 95%CI: 1.115-2.763, p = 0.015), TNM stage (HR:4.686, 95%CI: 2.958-7.425, p < 0.001), preoperative cancer antigen 19 - 9 levels (HR:1.001, 95%CI: 1.000-1.001, p < 0.001) and preoperative LANR (HR:0.221, 95%CI: 0.111-0.441, p < 0.001) were independent risk factors for a poor prognosis in patients undergoing radical resection of PDAC.

CONCLUSION

This study found that preoperative LANR can be used to assess the prognosis of radical resection in patients with PDAC; those with low preoperative LANR had a worse outcome.

Combining prognostic value of serum carbohydrate antigen 19-9 and tumor size reduction ratio in pancreatic ductal adenocarcinoma

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC) is a common cancer with increasing morbidity and mortality due to changes of social environment.

AIM

To evaluate the significance of serum carbohydrate antigen 19-9 (CA19-9) and tumor size changes pre- and post-neoadjuvant therapy (NAT).

METHODS

This retrospective study was conducted at the Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital. This study specifically assessed CA19-9 levels and tumor size before and after NAT.

RESULTS

A total of 156 patients who completed NAT and subsequently underwent tumor resection were included in this study. The average age was 65.4 ± 10.6 years and 72 (46.2%) patients were female. Before survival analysis, we defined the post-NAT serum CA19-9 level/pre-NAT serum CA19-9 level as the CA19-9 ratio (CR). The patients were divided into three groups: CR < 0.5, CR > 0.5 and < 1 and CR > 1. With regard to tumor size measured by both computed tomography and magnetic resonance imaging, we defined the post-NAT tumor size/pre-NAT tumor size as the tumor size ratio (TR). The patients were then divided into three groups: TR < 0.5, TR > 0.5 and < 1 and TR > 1. Based on these groups divided according to CR and TR, we performed both overall survival (OS) and disease-free survival (DFS) analyses. Log-rank tests showed that both OS and DFS were significantly different among the groups according to CR and TR (P < 0.05). CR and TR after NAT were associated with increased odds of achieving a complete or near-complete pathologic response. Moreover, CR (hazard ratio: 1.721, 95%CI: 1.373-3.762; P = 0.006), and TR (hazard ratio: 1.435, 95%CI: 1.275-4.363; P = 0.014) were identified as independent factors associated with OS.

CONCLUSION

This study demonstrated that post-NAT serum CA19-9 level/pre-NAT serum CA19-9 level and post-NAT tumor size/pre-NAT tumor size were independent factors associated with OS in patients with PDAC who received NAT and subsequent surgical resection.

Predictive role of the prognostic nutritional index in patients with pancreatic ductal adenocarcinoma who underwent neoadjuvant chemoradiotherapy followed by curative pancreatic resection: A retrospective study using prospectively collected data

BACKGROUND

Despite a strong association between nutritional indices and disease prognosis, evidence regarding the evaluation of nutritional indices after preoperative treatment for pancreatic ductal adenocarcinoma (PDAC) is insufficient. We evaluated the clinical significance of the prognostic nutritional index (PNI) in patients with resectable (R-) and borderline resectable (BR-) PDAC who received neoadjuvant chemoradiotherapy (NACRT) followed by pancreatic resection.

METHODS

We assessed 153 patients with R- and BR-PDAC who underwent NACRT followed by curative resection between 2009 and 2022. We evaluated the association between preoperative PNI after NACRT and short- and long-term outcomes.

RESULTS

The median preoperative PNI value after NACRT was 42.1, and the optimal cutoff value from the time-dependent receiver operating characteristic curve was 38.6. The low PNI group (PNI < 38.6, n = 44) exhibited significantly worse inflammatory parameters, surgical outcomes, and prognoses than the high PNI group (PNI ≥ 38.6, n = 109). Multivariate analysis identified preoperative PNI ≤ 38.6 (hazard ratio [HR]: 2.32, 95% confidence interval [CI]: 1.00-5.38, p = .049), blood loss ≥1642 mL (HR: 3.05, 95% CI: 1.65-5.64, p < .001), node positive pathology (HR: 2.10, 95% CI: 1.32-3.34, p = .002), and lack of postoperative adjuvant chemotherapy (HR: 3.55, 95% CI: 2.05-6.15, p < .001) as significant predictors of overall survival.

CONCLUSIONS

For patients with R- and BR-PDAC receiving preoperative treatment, it is imperative to closely monitor their nutritional status when determining the optimal surgical procedure timing.

Short- and Long-Term Outcomes of Neoadjuvant Chemoradiotherapy Followed by Pancreatoduodenectomy in Elderly Patients with Resectable and Borderline Resectable Pancreatic Cancer: A Retrospective Study

Background: The efficacy of neoadjuvant chemoradiotherapy (NACRT) followed by pancreatoduodenectomy (PD) in elderly patients with pancreatic ductal adenocarcinoma (PDAC) remains unclear. Methods: This retrospective analysis of prospectively collected data examined the effect of NACRT followed by PD in elderly patients with PDAC. A total of 112 patients with resectable (R-) and borderline resectable (BR-) PDAC, who were planned for PD and received NACRT between 2009 and 2022, were assessed. Changes induced by NACRT, surgical outcomes, nutritional status, renal and endocrine functions, and prognosis were compared between elderly (≥75 years, n = 43) and non-elderly (<75 years, n = 69) patients over two years following PD. Results: Completion and adverse event rates during NACRT, nutritional status, renal function, endocrine function over two years postoperatively, and prognosis did not significantly differ between the two groups. Low prognostic index after NACRT and the absence of postoperative adjuvant chemotherapy may be adverse prognostic indicators for elderly patients undergoing NACRT for R- and BR-PDAC. Conclusions: Despite a higher incidence of postoperative complications, NACRT followed by PD can be safely performed in elderly patients, resulting in a prognosis similar to that in non-elderly patients.

Prognostic potential of nutritional risk screening and assessment tools in predicting survival of patients with pancreatic neoplasms: a systematic review

BACKGROUNDS & AIMS

The nutritional evaluation of pancreatic cancer (PC) patients lacks a gold standard or scientific consensus, we aimed to summarize and systematically evaluate the prognostic value of nutritional screening and assessment tools used for PC patients.

METHODS

Relevant studies were retrieved from major databases (PubMed, Embase, Web of Science, Cochrane Library) and searched from January 2010 to December 2023. We performed meta-analyses with STATA 14.0 when three or more studies used the same tool.

RESULTS

This analysis included 27 articles involving 6,060 PC patients. According to a meta-analysis of these studies, poor nutritional status evaluated using five nutritional screening tools Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Controlling Nutritional Status Score (CONUT), Nutrition Risk Screening (NRS2002) and Glasgow Prognostic Score (GPS) was associated with all-cause mortality in PC patients. But Modified Glasgow Prognostic Score (mGPS) did not. Of all tools analyzed, CONUT had the maximum HR for mortality (HR = 1.978, 95%CI 1.345-2.907, P = 0.001).

CONCLUSION

All-cause mortality in PC patients was predicted by poor nutritional status. CONUT may be the best nutritional assessment tool for PC patients. The clinical application value of Short Form Mini Nutritional Assessment (MNA-SF), Generated Subjective Global Assessment (SGA) and Patient-generated Subjective Global Assessment (PG-SGA) in PC patients need to be confirmed. In order to improve patients' nutritional status and promote their recovery, nutritional screening tools can be used.

REGISTRATION

This systematic review was registered at the International Prospective Register of Systematic Reviews (PROSPERO) (number CRD42022376715).

Impact of albumin-lymphocyte-platelet-C-reactive protein index as a prognostic indicator of hepatocellular carcinoma after resection: Associated with nuclear factor erythroid 2-related factor 2

AIM

To investigate the prognostic value of the preoperative albumin-lymphocyte-platelet-C-reactive protein (ALPC) index in patients with hepatocellular carcinoma (HCC) undergoing curative hepatectomy. We also evaluated the relationship between the ALPC index and the phosphorylated nuclear factor erythroid 2-related factor 2 (p-Nrf2) levels.

METHODS

Data were analyzed retrospectively from 256 patients who underwent resection for HCC. For cross-validation, patients were divided into the training and testing cohort. We assessed eight combinations of inflammatory markers for predictive value for recurrence. We examined the associations of the ALPC index with recurrence-free survival and overall survival in univariate and multivariate analyses (Cox proportional hazards model). Immunohistochemical staining of p-Nrf2 was performed on tumor samples of 317 patients who underwent hepatic resection for HCC.

RESULTS

A high preoperative ALPC index correlated with a high serum albumin concentration, small tumor size, low rate of poor differentiation, solitary tumor, early Barcelona Clinic Liver Cancer stage, and low rate of microscopic intrahepatic metastasis in the training dataset. A high preoperative ALPC index correlated with a high serum albumin concentration, high serum alpha-fetoprotein concentration, small tumor size, a low rate of poor differentiation and a low rate of microscopic intrahepatic metastasis in the testing dataset. A higher preoperative ALPC index was an independent predictor of longer recurrence-free survival and overall survival in the training and testing datasets. A high ALPC index was associated with negative p-Nrf2 expression in HCC tumor cells.

CONCLUSIONS

We showed that a high ALPC index was an independent prognostic factor for patients with HCC undergoing curative hepatic resection.

Association between the prognostic nutritional index (PNI) and all-cause mortality in patients with chronic kidney disease

BACKGROUND

Nutrition and immunity play an important role in many chronic diseases. The prognostic nutritional index (PNI) has been proposed as a comprehensive indicator of an individual's immune and nutritional status. However, there is a lack of evidence regarding the association between the PNI and mortality in patients with chronic kidney disease (CKD).

METHODS

We used National Health and Nutrition Examination Survey (NHANES) data from 2001-2014 for participants with CKD. Mortality data were obtained from the National Death Index and matched to NHANES participants. Cox proportional hazards models were used to estimate hazard ratios for all-cause mortality.Results: The patients were 72.5 ± 9.8 years old, and 47.57% were male. The median follow-up was 58 months, and the mortality rate in patients with CKD was 30.27%. A higher PNI protected against all-cause mortality in patients with CKD, with an adjusted hazard ratio (aHR) of 0.98 (95% confidence interval (CI): 0.97-0.99). After grouping according to PNI quartiles, statistically significant between-group differences were observed in survival probabilities. The aHR for the lowest PNI quartile compared to the highest PNI quartile was 1.64 (95% CI: 1.26-2.14). Sensitivity analysis further supported this association. Restricted cubic spline analysis revealed an L-shaped association between the PNI and all-cause mortality in patients with CKD, with a critical value of 50.5.

CONCLUSIONS

The PNI is a protective factor in patients with CKD, with an L-shaped decrease in all-cause mortality with an increasing PNI.

Cachexia index as a prognostic predictor after resection of pancreatic ductal adenocarcinoma

Aim

This study was performed to investigate the relationship between the preoperative cachexia index (CXI) and long-term outcomes in patients who have undergone radical resection of pancreatic ductal adenocarcinoma (PDAC).

Methods

In total, 144 patients who underwent pancreatic resection for treatment of PDAC were retrospectively analyzed. The relationship between the CXI and the patients' long-term outcomes after PDAC resection was investigated. The CXI was calculated based on the preoperative skeletal muscle index, serum albumin level, and neutrophil-to-lymphocyte ratio. After propensity-score matching, we compared clinicopathological features and outcomes.

Results

The multivariate analysis showed that lymph node metastasis (hazard ratio [HR], 1.93; 95% confidence interval [CI], 1.16-3.23; P = 0.0118), R1 resection (HR, 57.20; 95% CI, 9.39-348.30; P < 0.0001), and a low CXI (HR, 2.10; 95% CI, 1.27-3.46; P = 0.0038) were independent and significant predictors of disease-free survival (DFS) after PDAC resection. Moreover, a low CXI (HR, 3.14; 95% CI, 1.71-5.75; P = 0.0002) was an independent and significant predictor of overall survival (OS) after PDAC resection. After propensity-score matching, the low CXI group had a significantly worse prognosis than the high CXI group for both DFS and OS.

Conclusion

The CXI can be a useful prognostic factor for DFS and OS after pancreatic resection for treatment of PDAC.

Effect of duration of adjuvant chemotherapy with S-1 (6 versus 12 months) for resected pancreatic cancer: the multicenter clinical randomized phase II postoperative adjuvant chemotherapy S-1 (PACS-1) trial

BACKGROUND

Six-month adjuvant chemotherapy with S-1 is standard care for resected pancreatic cancer in Japan; however, the optimal duration has not been established. We aimed to evaluate the impact of duration of adjuvant chemotherapy with S-1.

METHODS

We performed a multicenter, randomized, open-label, phase II study. Patients with histologically proven invasive pancreatic ductal carcinoma, pathological stage I-III, and no local residual or microscopic residual tumor were eligible. Patients were randomized 1:1 to receive 6- or 12-month adjuvant chemotherapy with S-1. The primary endpoint was 2-year overall survival (OS). Secondary endpoints were disease-free survival (DFS) and feasibility.

RESULTS

A total of 170 patients were randomized (85 per group); the full analysis set was 82 in both groups. Completion rates were 64.7% (6-month group) and 44.0% (12-month group). Two-year OS was 71.5% (6-month group) and 65.4% (12-month group) (hazard ratio (HR): 1.143; 80% confidence interval CI 0.841-1.553; P  =  0.5758). Two-year DFS was 46.4% (6-month group) and 44.9% (12-month group) (HR: 1.069; 95% CI 0.727-1.572; P = 0.6448). In patients who completed the regimen, 2-year DFS was 56.5% (6-month group) and 75.0% (12-month group) (HR: 0.586; 95% CI 0.310-1.105; P  = 0.0944). Frequent (≥ 5%) grade ≥ 3 adverse events comprised anorexia (10.5% in the 6-month group) and diarrhea (5.3% vs. 5.1%; 6- vs. 12-month group, respectively).

CONCLUSIONS

In patients with resected pancreatic cancer, 12-month adjuvant chemotherapy with S-1 was not superior to 6-month therapy regarding OS and DFS.

The Impact of Fibrinogen to Prognostic Nutritional Index Rate on Prognosis of Pancreatic Ductal Adenocarcinoma

INTRODUCTION

The aim of the present study was to evaluate the prognostic value of the ratio of serum fibrinogen to prognostic nutritional index (PNI; Fbg/PNI) in patients undergoing resection for pancreatic ductal adenocarcinoma.

METHODS

A total of 140 patients who had undergone resection for pancreatic cancer were included. Patients were divided into two groups according to a Fbg/PNI ≥8.8 or <8.8. Survival data were analyzed using the log-rank test for univariate analysis and Cox proportional hazards for multivariate analysis.

RESULTS

Fbg/PNI was a significant prognostic indicator in univariate analysis for overall survival (OS) and disease-free survival (DFS). Fbg/PNI retained significance in multivariate analysis for OS (hazard ratio, 1.81; 95% confidence interval, 1.19-2.77; P < .01) in addition to tumor differentiation and nodal involvement. Fbg/PNI was a significant independent prognostic indicator of poor DFS on multivariate analysis (hazard ratio, 1.54; 95% confidence interval, 1.05-2.26; P = .03).

CONCLUSION

Preoperative Fbg/PNI is a novel significant independent prognostic indicator for OS and DFS following resection of pancreatic cancer with curative intent.

A hierarchical prognostic model for Co-diabetes pancreatic adenocarcinoma

Background

Co-diabetes pancreatic adenocarcinoma has a poorer prognosis than pancreatic adenocarcinoma without diabetes. This study aimed to develop a reliable prognostic model for patients with co-diabetes pancreatic adenocarcinoma.

Method

Overall, 169 patients with co-diabetes pancreatic adenocarcinoma were included in our study. First, the independent risk factors affecting the prognosis of patients with co-diabetes pancreatic adenocarcinoma were determined by univariate and multivariate Cox regression analyses. Based on these identified risk factors, we developed a nomogram and evaluated its predictive ability using the concordance index, receiver operating characteristic curve, calibration plot, decision curve, and net reclassification index.

Results

In this study, prealbumin, transferrin, carcinoembryonic antigen, distant metastasis, tumor differentiation neutrophil count, lymphocyte count and fasting blood glucose were confirmed as significant prognostic factors. Based on these predictors, a new nomogram was developed. Compared with the American Joint Committee on Cancer 8 staging system and other models, the nomogram achieved a higher concordance index in the training (0.795) and validation (0.729) queues. The area under the nomogram's curve for predicting patient survival at 0.5, 1, and 1.5 years in the training queue was >0.8. Patients were risk-stratified using the nomogram, and Kaplan-Meier survival curves of subgroups were plotted. The Kaplan-Meier curve also showed better separation than the American Joint Committee on Cancer 8 staging system, indicating that our model has a better risk hierarchical ability.

Conclusions

Compared to the American Joint Committee on Cancer 8 staging system and other predictive models, our model showed better predictive ability for patients with co-diabetes pancreatic adenocarcinoma. Our model will help in patients' risk stratification and improves their prognosis.

Radiographic duodenal invasion is associated with poor prognosis and early recurrence in patients with pancreatic ductal adenocarcinoma

BACKGROUND

The prognostic impact of radiographic duodenal invasion (rDI) of pancreatic ductal adenocarcinoma (PDAC) has yet to be fully elucidated. This retrospective study aimed to investigate the prognostic and clinicopathological significance of rDI in patients with PDAC after pancreatoduodenectomy (PD).

MATERIALS AND METHODS

We retrospectively analyzed 223 consecutive patients with resectable (R) and borderline resectable (BR)-PDAC that underwent up-front PD between 2002 and 2018. rDI was assessed by preoperative multi-detector row computed tomography.

RESULTS

Ninety-three (42%) patients with PDAC had rDI, and all of them had pathological DI (pDI). The rDI(+) group had larger tumor size, BR-PDAC was more common, there was higher serum CA19-9 level, and microscopic lymphovascular invasion was more common than in the rDI(-) group. rDI was associated with significant reduction in overall survival (OS) (P < 0.001) and recurrence-free survival (RFS) (P < 0.001). In multivariate analysis, rDI was an independent prognostic factor in OS [hazard ratio (HR) = 0.52; 95% confidence interval (CI) 0.38-0.73, P < 0.001] and RFS [HR = 0.56; 95% CI 0.40-0.78, P = 0.001]. rDI was also an independent risk factor for early recurrence within 12 months [odds ratio (OR) = 0.36; 95% CI 0.18-0.73, P = 0.005]. rDI had positive correlation with liver recurrence (P = 0.024).

CONCLUSION

Biological aggressiveness of PDAC with rDI implies short OS and early recurrence with frequent liver metastasis. Aggressive perioperative chemotherapy is recommended to improve prognosis, especially for R-PDAC patients with rDI.

A novel combined carbohydrate antigen 19-9 and lymphocyte-to-monocyte ratio score can predict early recurrence of resectable pancreatic ductal adenocarcinoma

PURPOSE

Pancreatic ductal adenocarcinoma (PDAC) often recurs early after radical resection, which causes a poor prognosis. This study aimed to establish a scoring model to assess the optimal treatment in patients who underwent surgery for PDAC.

METHODS

This single-center retrospective study included 127 patients who underwent radical resection for PDAC between 2005 and 2021. Early recurrence (ER) was defined as recurrence within 12 months after resection. The predictive effect for ER was evaluated using receiver operating characteristic (ROC) curves of preoperative parameters.

RESULTS

ER occurred in 43 (33.9%) patients. The ER group had a significantly worse prognosis than the non-ER group (p < 0.0001). The carbohydrate antigen 19-9 (CA19-9) level and lymphocyte-to-monocyte ratio (LMR) were the strongest diagnostic factors (areas under the ROC curves: 0.74 and 0.68, respectively). The ER prediction score was calculated using optimal cutoff values. A higher CA19-9-LMR score was associated with a worse prognosis in terms of the overall and recurrence-free survival (p = 0.0017 and p < 0.0001, respectively). A multivariate analysis identified a high CA19-9-LMR score as an independent predictor of ER.

CONCLUSIONS

The CA19-9-LMR scoring model can predict ER after surgery and is applicable for risk stratification in the assessment of patients with resectable PDAC.

The value of the preoperative Naples prognostic score in predicting prognosis in gallbladder cancer surgery patients

PURPOSE

The Naples prognostic score (NPS) is a comprehensive prognostic model that includes inflammatory and nutrition-related indicators and is increasingly used as a prognostic score for various malignant tumors. Given its predictive effect on prognosis in patients with gallbladder cancer, it is currently unclear. This study aimed to investigate the role of preoperative NPS in predicting prognosis in gallbladder cancer surgery patients.

PATIENTS AND METHODS

A retrospective analysis was performed for 135 patients who underwent radical surgery for gallbladder cancer without preoperative treatment between March 2011 and January 2020. NPS was calculated by measuring the preoperative total cholesterol value, serum albumin value, neutrophil-lymphocyte ratio (NLR), and lymphocyte-monocyte ratio (LMR). They were then divided into 3 groups (groups 0, 1, and 2) based on NPS scores. Survival analysis was performed using the Kaplan-Meier method and log-rank test. Univariate and multivariate Cox proportional hazards models were used to identify independent prognostic factors. Plot time-dependent receiver operating characteristic (ROC) curves to compare the prognostic value of scoring systems. Finally, a nomogram model was developed with independent prognostic factors.

RESULTS

Multivariate analysis showed that NPS was an independent risk factor affecting OS (HR = 3.417, p < 0.05). The time-dependent ROC curve results showed that NPS had a better predictive value on survival prognosis than other indicators. The nomogram constructed according to independent factors such as NPS has a good predictive ability for OS.

CONCLUSION

As a simple and reliable tool, the NPS has important predictive value in the survival prognosis of gallbladder cancer patients. The nomogram model constructed by NPS will help determine prognosis and make individualized treatment decisions.

Preoperative HALP score is a prognostic factor for intrahepatic cholangiocarcinoma patients undergoing curative hepatic resection: association with sarcopenia and immune microenvironment

BACKGROUND

The hemoglobin-albumin-lymphocyte-platelet (HALP) score is a combination index that assesses nutritional status and systemic inflammatory response and is reported to predict prognosis in several cancer types. However, researches about the usefulness of the HALP score in intrahepatic cholangiocarcinoma (ICC) are limited.

METHODS

This was a single-center, retrospective study of 95 patients who underwent surgical resection for ICC between 1998 and 2018. We divided patients into two groups by calculating the cutoff value of the HALP score and examined clinicopathological characteristics, prognosis, and sarcopenia. Tumor-infiltrating lymphocytes (TILs), CD8 + TILs, and FOXP3 + TILs were evaluated by immunohistochemical staining of resected tumors.

RESULTS

Of 95 patients, 22 were HALP-low. The HALP-low group had significantly lower hemoglobin (p = 0.0007), lower albumin (p = 0.0013), higher platelet counts (p < 0.0001), fewer lymphocytes (p < 0.0001), higher CA19-9 levels (p = 0.0431), and more lymph node metastasis (p = 0.0013). Multivariate analysis revealed that the independent prognostic factors for disease-free survival were maximum tumor size (≥ 5.0 cm) (p = 0.0033), microvascular invasion (p = 0.0108), and HALP score (≤ 25.2) (p = 0.0349), and that factors for overall survival were lymph node metastasis (p = 0.0020) and HALP score (≤ 25.2) (p = 0.0014). The HALP-low group contained significantly more patients with sarcopenia (p = 0.0015). Immunohistochemistry showed that counts of CD8 + TILs were significantly lower in the HALP-low group (p = 0.0075).

CONCLUSIONS

We demonstrated that low HALP score is an independent prognostic factor for ICC patients undergoing curative hepatic resection and is associated with sarcopenia and the immune microenvironment.

A new scoring system with simple preoperative parameters as predictors of early recurrence of pancreatic ductal adenocarcinoma

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC) often recurs early after radical resection, and such early recurrence (ER) is associated with a poor prognosis. Predicting ER is useful for determining the optimal treatment.

METHODS

One hundred fifty-three patients who underwent pancreatectomy for PDAC were divided into an ER group (n = 54) and non-ER group (n = 99). Clinicopathological factors were compared between the groups, and the predictors of ER and prognosis after PDAC resection were examined.

RESULTS

The ER group had a higher platelet count, higher platelet-to-lymphocyte ratio (PLR), higher preoperative CA19-9 concentration, higher SPan-1 concentration, larger tumor diameter, and more lymph node metastasis. The receiver operating characteristic (ROC) curve analysis identified cut-off values for PLR, carbohydrate antigen 19-9 (CA19-9), SPan-1, and tumor diameter. In the multivariate analysis, a high PLR, high CA19-9, and tumor diameter of >3.1 cm were independent predictors of ER after resection (all p < 0.05). When the parameter exceeded the cut-off level, 1 point was given, and the total score of the three factors was defined as the ER prediction score. Next, our new ER prediction model using PLR, CA19-9 and tumor diameter (Logit(p) = 1.6 + 1.2 × high PLR + 0.7 × high CA19-9 + 0.5 × tumor diameter > 3.1cm) distinguished ER with an area under the curve of 0.763, a sensitivity of 85.2%, and a specificity of 55.6%.

CONCLUSIONS

ER after resection of PDAC can be predicted by calculation of a score using the preoperative serum CA19-9 concentration, PLR, and tumor diameter.

Prognostic Role of Geriatric Nutritional Risk Index in Patients with Pancreatic Cancer: A Meta-Analysis

Background: The Geriatric Nutritional Risk Index (GNRI) is used to assess the prognosis of patients with pancreatic cancer. Therefore, this meta-analysis was conducted to evaluate the association between the GNRI and prognosis in pancreatic cancer.Methods: We performed a pooled analysis of the hazard ratios (HRs) and 95% confidence intervals (CIs) of the GNRI for survival in pancreatic cancer. Using pooled odds ratios (ORs) and 95% CIs, we investigated the association between the GNRI and clinicopathological characteristics of pancreatic cancer.Results: Six studies were included in this meta-analysis, totaling 1,513 patients. A low GNRI was significantly associated with a poorer overall survival (OS) in the pooled results (HR, 1.95; 95% CI, 1.29-2.94; p = 0.002) in pancreatic cancer. However, GNRI was not significantly associated with progression-free survival (PFS) in pancreatic cancer (HR, 1.57; 95% CI, 0.90-2.73; p = 0.114). The pooled results indicated that a low GNRI was significantly associated with tumor location of pancreas head (OR, 2.18; 95% CI, 1.45-3.29; p < 0.001).Conclusions: This meta-analysis showed that low GNRI was significantly associated with poor OS but not with poor PFS in patients with pancreatic cancer. The GNRI is a novel and effective risk factor and a potential biomarker for the prognosis of pancreatic cancer.

Fibrinogen-to-prealbumin ratio: A new prognostic marker of resectable pancreatic cancer

Background

The fibrinogen-to-prealbumin ratio (FPR), a novel immune-nutritional biomarker, has been reported to be associated with prognosis in several types of cancer, but the role of FPR in the prognosis of resectable pancreatic cancer has not been elucidated.

Methods

A total of 263 patients with resectable pancreatic cancer were enrolled in this study and were randomly divided into a training cohort (n = 146) and a validation cohort (n = 117). Receiver operating characteristic curve (ROC) was used to calculate the cut-off values of immune-nutritional markers. The least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression were performed in the training cohort to identify the independent risk factors, based on which the nomogram was established. The performance of the nomogram was evaluated and validation by the training and validation cohort, respectively.

Results

The optimal cutoff value for FPR was 0.29. Multivariate analysis revealed that FPR, controlling nutritional status (CONUT), carbohydrate antigen 19-9 (CA19-9), carcinoembryonic antigen (CEA), and tumor node metastasis (TNM) stage were independent predictors of overall survival (OS). The nomogram was established by involving the five factors above. The C-index of the training cohort and validation cohort were 0.703 (95% CI: 0.0.646-0.761) and 0.728 (95% CI: 0.671-0.784). Decision curve analysis and time-dependent AUC showed that the nomogram had better predictive and discriminative ability than the conventional TNM stage.

Conclusion

FPR is a feasible biomarker for predicting prognosis in patients with resectable pancreatic cancer. The nomogram based on FPR is a useful tool for clinicians in making individualized treatment strategies and survival predictions.

Machine learning algorithms to predict atypical metastasis of colorectal cancer patients after surgical resection

Background

The prognosis of colorectal cancer with atypical metastasis is poor. However, atypical metastasis was less common and under-appreciated.

Methods

In this study we attempted to present the first machine learning models to predict the risk of atypical metastasis in colorectal cancer patients. We evaluated the differences between metastasis and non-metastasis groups, assessed factors associated with atypical metastasis using univariate and multivariate logistic regression analyses, and preliminarily developed the multiple machine learning models to predict atypical metastasis.

Results

168 patients were included. Prognostic Nutritional Index (PNI) [OR =  0.998; P = 0.030], Cancer antigen 19-9 (CA19-9) [OR = 1.011; P = 0.043] and MR-Distance [-mid OR = 0.289; P = 0.009] [-high OR = 0.248; P = 0.021] were shown to be independent risk factors for the atypical metastasis via multivariate analysis. Furthermore, the machine learning model based on AdaBoost algorithm (AUC: 0736) has better predictive performance comparing to Logistic Regression (AUC: 0.671) and KNeighbors Classifier (AUC: 0.618) by area under the curve (AUC) in the validation cohorts. The accuracy, sensitivity, and specificity of the model trained using the Adaboost method in the validation set are 0.786, 0.776 and 0.700, while 0.601, 0.933, 0.508 using Logistic Regression and 0.743, 0.390, 0.831 using KNeighbors Classifier.

Conclusion

Machine-learning approaches containing PNI, CA19-9 and MR-Distance show great potentials in atypical metastasis prediction.

Prognostic value of systemic immune-inflammation index in patients with pancreatic cancer: a meta-analysis

The systemic immune-inflammation index (SII) is a significant prognostic factor in some cancer types. However, the prognostic value of SII in patients with pancreatic cancer (PC) remains controversial. This study aimed to evaluate the prognostic impact of SII in patients with PC through a meta-analysis. This meta-analysis is aimed to investigate the prognostic significance of SII in patients with PC. Relevant articles were obtained through a systematic search. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate the association between SII and survival outcomes, including overall survival (OS), cancer-specific survival (CSS), disease-free survival (DFS), and progression-free survival (PFS). Seven studies with 2132 patients were included in the meta-analysis. The results revealed that elevated pretreatment SII was associated with poor OS (HR = 1.55, 95% CI: 1.34-1.78, p < 0.001) and inferior CSS/DFS/PFS (HR = 1.51, 95% CI: 1.27-1.80, p < 0.001). The prognostic role was reliable in a subgroup analysis conducted according to regions, disease status, survival analysis, and cutoff value. High SII was associated with poor OS in patients with PC. Therefore, SII is suggested to be a cost-effective biological marker for monitoring survival in patients with PC.

Prognostic role of the prognostic nutritional index in patients with pancreatic cancer who underwent curative resection without preoperative neoadjuvant treatment: A systematic review and meta-analysis

Background

The prognostic nutrition index (PNI), which has been evaluated in various kinds of cancers, offered a simple yet effective approach to predict the prognosis. The aim of this meta-analysis is to reveal the correlation between preoperative PNI and the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC) who underwent curative resection.

Methods

We searched the PubMed, Embase, Web of Science and Cochrane Library databases, and extracted the hazard ratio (HR) with 95% confidential interval (CI) from eligible studies. The pooled HR with 95% CI was applied to evaluate the association between PNI and overall survival (OS), recurrence-free survival (RFS).

Results

A total of fourteen studies with 3,385 patients were included for meta-analysis. The results (the pooled HR: 1.664, 95% CI: 1.424–1.994, I² = 42.6%, p value = 0.046) indicated that low preoperative PNI was closely related to poor OS. In addition, the results suggested that PNI was negatively correlated with RFS (the pooled HR: 1.369, 95%CI: 1.080–1.734). The robustness of these pooled results was verified by our subgroup analysis and sensitivity analysis. Moreover, different cutoff values among studies are responsible for the heterogeneity of pooled HR of OS through meta-regression analysis (p value = 0.042). Funnel plots, Begg's test (p value = 0.228) and Egger’s test (p value = 0.702) indicated no significant publication bias in OS.

Conclusion

Preoperative PNI might be a promising marker to predict the prognosis of PDAC patients who underwent curative resection.

Predictive value of the preoperative prognostic nutritional index for postoperative progression in patients with pancreatic neuroendocrine neoplasms

Objective

The preoperative nutritional status of cancer patients is closely related to prognosis. The prognostic nutritional index (PNI) has been shown to predict the prognosis of a variety of tumors, but its study in pancreatic neuroendocrine neoplasms (pNENs) is lacking. The aim of the present study is to investigate the predictive value of the preoperative PNI for postoperative progression in patients with pNENs.

Methods

The medical records of 181 patients with pNENs, who underwent surgery, were retrospectively analyzed. A time-dependent receiver operating characteristic (ROC) curve was plotted to determine the optimal cut-off value of the preoperative PNI. Correlations between the preoperative PNI and clinicopathological parameters were analyzed using multiple linear regression. A Kaplan-Meier curve was applied to assess the progression-free survival (PFS) rate, which was tested using a log rank. Univariate and multivariate Cox proportional risk regression models were used to analyze the predictive value of the preoperative PNI on prognosis.

Results

The optimal cut-off value of the preoperative PNI was 48.275. The patients were divided into a high PNI group (PNI > 48.275, n = 92) and a low PNI group (PNI ≤ 48.275, n = 89). The proportion of patients with tumor progression after surgery was significantly higher in the low PNI group compared with that in the high PNI group (P = 0.004). The Kaplan-Meier curve showed that the PFS rate after surgery was significantly lower in the low PNI group compared with that in the high PNI group (P = 0.026). The preoperative PNI was an independent predictor of PFS (HR: 2.727, 95% CI: 1.174∼6.333, P = 0.020).

Conclusion

The preoperative PNI has a predictive value for postoperative progression in patients with pNENs.

Prediction Models for One-Year Survival of Adult Patients with Acute Kidney Injury: A Longitudinal Study Based on the Data from the Medical Information Mart for Intensive Care III Database

Acute kidney injury (AKI) is a common complication of acute illnesses with unfavorable outcomes. This cohort study aimed at constructing prediction models for one-year survival in adult AKI patients based on prognostic nutritional index (PNI), platelet-to-lymphocyte ratio (PLR), neutrophil percentage-to-albumin ratio (NPAR), or neutrophil-to-lymphocyte ratio (NLR), respectively. In total, 6050 patients from Medical Information Mart for Intensive Care III (MIMIC-III) were involved. The least absolute shrinkage and selection operator (LASSO) regression was utilized to screen possible covariates. The samples were randomly divided into the training set and the testing set at a ratio of 7.5 : 2.5, and the prediction models were constructed in the training set by random forest. The prediction values of the models were measured via sensitivity, specificity, negative prediction value (NPV), positive prediction value (PPV), area under the curve (AUC), and accuracy. We found that NLR (OR = 1.261, 95% CI: 1.145–1.388), PLR (OR = 1.295, 95% CI: 1.152–1.445), and NPAR (OR = 1.476, 95% CI: 1.261–1.726) were associated with an increased risk, while PNI (OR = 0.035, 95% CI: 0.020–0.059) was associated with a decreased risk of one-year mortality in AKI patients. The AUC was 0.964 (95% CI: 0.959–0.969) in the training set based on PNI, age, gender, length of stay (LOS) in hospital, platelets (PLT), ethnicity, LOS in ICU, systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate, glucose, AKI stage, atrial fibrillation (AF), vasopressor, renal replacement therapy (RRT), and mechanical ventilation. The testing set was applied as the internal validation of the model with an AUC of 0.778 (95% CI: 0.754–0.801). In conclusion, PNI accompanied by age, gender, ethnicity, SBP, DBP, heart rate, PLT, glucose, AF, RRT, mechanical ventilation, vasopressor, AKI stage, LOS in ICU, and LOS in hospital exhibited a good predictive value for one-year mortality of AKI patients.

Prognostic Significance of PNI in Patients With Pancreatic Head Cancer Undergoing Laparoscopic Pancreaticoduodenectomy

Background

Recently, several prognosis indicators based on inflammatory and nutritional factors, such as the neutrophil-to-lymphocyte ratio (NLR), plated-to-lymphocyte (PLR), lymphocyte-to-monocyte (LMR) and prognosis nutritional index (PNI), have been proposed as prognosis factors for several cancers. However, few studies have looked into PNI. The goal of this research was to see if preoperative PNI had any predictive value in patients with pancreatic head cancer who were having a laparoscopic pancreaticoduodenectomy.

Methods

From February 11, 2018 to May 31, 2019, two hundred and fifty-one pancreatic head carcinoma patients were retrospectively enrolled. The receiver operator characteristic (ROC) curve was used to determine the cut-off value. Patients were divided into two groups: PNI > 45.1 (high PNI group) and PNI < 45.1 (low PNI group), and clinic-pathological data was compared between the two groups. The link between PNI and NLR, PLR, and LMR, and their effect on overall survival. In addition, the factors of postoperative survival were analyzed univariate and multivariate.

Results

PNI, NLR, PLR and LMR cut-off values were 45.1, 3.7,287.2 and 3.6, respectively. Between the two groups of patients, the low PNI group exhibited considerably higher PLR and lower LMR. PNI had a negative correlation with PLR and NLR (r = −0.329, p < 0.001 and r = 0.170, p = 0.014), but a positive correlation with LMR (r = 0.476, p < 0.001). The high PNI group had a considerably greater survival rate than the low PNI group (median survival days, 217 vs. 468, log-rank = 45.92, p < 0.001). PNI < 45.1(HR: 0.357, 95 percent CI, 0.263–0.485, p < 0.001) and LMR <3.6(HR: 0.705, 95 percent CI, 0.528–0.942, p < 0.018) were revealed to be possible predictive variable in univariate analysis. Only PNI <45.1 was found to be an independent predictive factor in multivariate analysis (HR: 0.359, 95%CI,: 0.256–0.502, p < 0.001).

Conclusions

Our findings shoe that PNI is linked to a variety of systemic inflammatory response and can be used to predict survival in individuals with pancreatic head cancer.

Prognostic Value of Pretreatment Controlling Nutritional Status Score for Patients With Pancreatic Cancer: A Meta-Analysis

Background

Previous studies have explored the prognostic value of the pretreatment Controlling Nutritional Status (CONUT) score of patients with pancreatic cancer. However, the results of those studies were inconsistent. We used meta-analysis to investigate the impact of the CONUT score on the prognosis for patients with pancreatic cancer.

Methods

We thoroughly searched the PubMed, Web of Science, Embase, and Cochrane Library databases for relevant articles from inception to November 19, 2021. Combined hazard ratios (HRs) and 95% confidence intervals (95% CIs) were used to estimate the prognostic value of the CONUT score with respect to survival duration. The pooled odds ratios (ORs) and 95% CIs were used to estimate the correlation between the CONUT score and clinical characteristics.

Results

The database search found seven studies with 2,294 patients for inclusion in this meta-analysis. A high CONUT score was significantly associated with poor overall survival (OS) (HR = 1.56, 95% CI = 1.13–2.16, p = 0.007), but not with recurrence-free survival (RFS) (HR = 1.47, 95% CI = 0.97–2.23, p = 0.072) of patients with pancreatic cancer. Moreover, there was a significant association between an elevated CONUT score and male patients (OR = 1.34, 95% CI = 1.03–1.75, p = 0.029). However, there was no significant association between the CONUT score and the clinical stage (OR = 1.11, 95% CI = 0.46–2.71, p = 0.576), lymph node metastasis (OR = 0.73, 95% CI = 0.39–1.36, p = 0.323), lymphatic vessel invasion (OR = 0.84, 95% CI = 0.55–1.28, p = 0.411), invasion of the portal vein system (OR = 1.04, 95% CI = 0.51–2.13, p = 0.915), and nerve plexus invasion (OR = 1.22, 95% CI = 0.83–1.80, p = 0.318) in patients with pancreatic cancer.

Conclusions

The results of our meta-analysis indicate that a high CONUT score predicts a poor OS in patients with pancreatic cancer. The CONUT score may be an effective prognostic factor in pancreatic cancer in clinical practice.