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.

Pretreatment Albumin-to-Fibrinogen Ratio is a Promising Biomarker for Predicting Postoperative Clinical Outcomes in Patients with Colorectal Cancer.

PURPOSE: To evaluate the prognostic value of pretreatment albumin-to-fibrinogen ratio (AFR) in colorectal cancer (CRC). METHODS: This retrospective study included 657 CRC patients who underwent surgical resection in 2012-2014. Kaplan-Meier survival curve and Cox proportional hazards model were used to determine independent predictors. Receiver operating characteristic curve analysis was used to assess and compare the ability of indicators to predict survival. RESULTS: The optimal cutoff value of AFR was 8.3. Compared with high AFR group, low AFR group had shorter progression-free survival (PFS) (65.32% vs 52.28%, p < 0.001) and overall survival (OS) (67.47% vs 56.14%, p = 0.001). In the stratified analysis of TNM stage, AFR had good prognostic discrimination for early- and advanced-stage patients. Multivariate analysis suggested that AFR was an independent prognostic factor of PFS [hazard ratio (HR) = 1.385, 95% confidence interval (CI) = 1.043-1.839, p = 0.024) and OS (HR = 1.342, 95% CI = 1.022-1.763, p = 0.034) for CRC patients. AFR had better prognostic prediction ability than other inflammation-related markers. The AFR-based nomograms had good predictive capabilities. CONCLUSIONS: Pretreatment AFR is an independent prognostic factor for CRC patients undergoing surgical resection and is superior to other established inflammation-related markers.

Characterization of genomic alterations in Chinese colorectal cancer patients.

OBJECTIVE: Colorectal cancer is one of the most prevalent types of cancer worldwide. Right-sided and left-sided colorectal cancer (RCC and LCC) patients respond differently to treatment. We aimed to identify the different mutational profile between RCC and LCC and provided evidence for future precision therapy. METHODS: A total of 630 Chinese colorectal cancer patients, including 467 (74.1%) LCC and 163 (25.9%) RCC, were enrolled in this cohort. Both formalin-fixed paraffin-embedded tumor tissues and matching blood samples were collected and deep sequenced targeting 450 cancer genes for genomic alteration analysis. Tumor mutational burden was measured by an algorithm developed in-house. Correlation analysis was performed by Fisher's exact test. RESULTS: The most common mutated genes were TP53 (77.0%), APC (71.7%), KRAS (50.0%), SMAD4 (19.8%), PIK3CA (18.3%), FBXW7 (17.5%), TCF7L2 (12.5%), SOX9 (11.3%), LRP1B (10.8%), ARID1A (10.3%) and FAT4 (10.3%). The mutation frequencies of TP53 and APC in LCC were significantly higher than that of RCC, while the mutation frequency of PIK3CA was lower than that of RCC. Six gene fusions were specifically detected in RCC patients. Colorectal cancer sites were associated with gender (P = 4.15 × 10-5) and tumor differentiation (P = 0.059). In LCC, the gender-associated genes were FAT4, EP300, FAT1, LRP1, ARID1B, AR, FYN and TAF1, while in RCC, they were ARID1A, SMARCA4, LRP1 and GRIN2A. The mutations of 18 genes were associated with tumor differentiation (8 for LCC and 10 for RCC). High tumor mutational burden was more common in RCC. Our results implied more potential targeted drug therapy opportunities for RCC. CONCLUSION: We describe the different molecular characteristics of LCC and RCC. Our result supported a better prognosis of RCC than LCC in Chinese colorectal cancer patients.

Preoperative computed tomography-assessed sarcopenia as a predictor of complications and long-term prognosis in patients with colorectal cancer: a systematic review and meta-analysis.

BACKGROUND: The relationship between computed tomography (CT)-assessed sarcopenia and colorectal cancer (CRC) prognosis varies in different studies. This systematic review aimed to examine the impact of preoperative CT-assessed sarcopenia on complications and long-term survival in CRC patients. METHODS: The PubMed, Web of Science, Cochrane Library, and Embase databases were searched for relevant literature up to September 10, 2020. Data and characteristics for each study were extracted. Long-term outcomes were assessed using a comprehensive HR with a 95% CI. Complications were assessed using a comprehensive OR with 95% CI. The heterogeneity and publication bias were also investigated, and subgroup and sensitivity analyses were performed. RESULTS: A total of 19 studies comprising 15,889 patients were included. The comprehensive results demonstrated that sarcopenia is significantly associated with overall survival of CRC patients (HR = 1.40, 95% CI = 1.25-1.58, p < 0.001). Patients with sarcopenia have a higher risk of complications compared to those without sarcopenia. In addition, sarcopenia is strongly associated with poor cancer-specific survival (HR = 1.49, 95% CI = 1.32-1.68, p < 0.001) and disease-free survival (HR = 1.59, 95% CI = 1.32-1.92, p < 0.001) in CRC patients. There is no significant relationship between sarcopenia and recurrence-free survival (HR = 1.32, 95% CI = 0.92-1.89, p = 0.126). CONCLUSIONS: Preoperative CT-assessed sarcopenia can be employed as an effective predictor of complications and long-term prognosis in CRC patients. Standardization of CT-assessed sarcopenia requires comprehensive consideration of race, muscle mass index, body mass index, and gender.

Geriatric nutritional risk index as a predictor of complications and long-term outcomes in patients with gastrointestinal malignancy: a systematic review and meta-analysis.

BACKGROUND: The effect of the geriatric nutritional risk index (GNRI) on the prognosis of patients with gastrointestinal malignancy remains unclear. The aim of our study was to systematically explore the value of the GNRI in evaluating postoperative complications and long-term outcomes in gastrointestinal malignancy. METHODS: A systematic literature search was conducted using electronic databases to report the impact of the GNRI on postoperative complications and long-term outcomes of patients with gastrointestinal malignancies as of August 2020. The hazard ratio (HR) with a 95% confidence interval (CI) was used to evaluate the impact of the GNRI on long-term outcomes. The risk ratio (RR) with 95% CI was used to assess the impact of the GNRI on postoperative complications. RESULT: A total of nine studies with 2,153 patients were enrolled in our meta-analysis. The results suggested that a low GNRI was correlated with poor overall survival of patients with gastrointestinal malignancy (HR = 1.94, 95% CI 1.65-2.28, p < 0.001). Patients with a low GNRI had a higher risk of complications than patients with a high GNRI (OR = 2.19, 95% CI 1.57-3.05, p < 0.001). In addition, patients with a low GNRI had shorter relapse-free survival (HR = 2.45, 95% CI 1.50-4.00, p < 0.001) and disease-free survival (HR = 1.84, 95% CI 1.23-2.76, p = 0.003) than those with a high GNRI. However, the GNRI was not an independent factor affecting cancer-specific survival (HR = 1.60, 95% CI 0.91-2.82, p = 0.101). CONCLUSION: Based on existing evidence, the GNRI was a valuable predictor of complications and long-term outcomes in patients with gastrointestinal malignancy.

The prognostic value of combined tumor markers and systemic immune-inflammation index in colorectal cancer patients.

PURPOSE: This study evaluated the significance of combining tumor markers (TM) and systemic immune-inflammation index (SII) for postoperative complications and long-term outcomes in colorectal cancer (CRC) patients. METHODS: CRC patients (662) who underwent surgery between 2012 and 2014 were retrospectively enrolled into our study. Factors affecting postoperative complications were evaluated by logistic regression analysis. Prognostic factors were assessed using Kaplan-Meier and Cox proportional hazards models. Nomograms were constructed to predict the risk of postoperative complications and survival. A consistency index and a calibration curve were used to evaluate the predictive accuracy of nomograms. RESULTS: TM-SII score was established by combining TM and SII. Logistic regression analyses showed that TM-SII score was an important predictor of postoperative complications in CRC patients. Kaplan-Meier analyses showed that TM-SII score was favorable for prognostic risk stratification. In addition, multivariate analyses indicated that TM-SII score was an independent prognostic indicator for disease-free survival and overall survival. TM-SII based nomograms had a moderate prediction accuracy. CONCLUSION: TM-SII score is a good prognostic indicator for CRC patients. It may be used as a useful risk stratification tool for advanced CRC patients. TM-SII-based nomograms could be used to identify CRC patients with poor outcomes.

Apolipoprotein A-I levels in the survival of patients with colorectal cancer: a retrospective study.

Background: Abnormal lipid levels have been associated with cancer incidence and progression. However, limited studies have investigated the relationship between apolipoprotein A-I (ApoA-I) and colorectal cancer (CRC). This study assessed the significance of ApoA-I levels in progression-free survival (PFS) and overall survival (OS) of patients with CRC. Methods: Survival curves were compared using Kaplan-Meier analysis, while the predictive values of various lipid indicators in CRC prognosis were evaluated based on receiver operating characteristic curves. The factors influencing PFS and OS in patients with CRC were analyzed using Cox proportional hazards regression models. Finally, the relationship between ApoA-I level and disease recurrence was investigated through logistic regression analysis. The optimal Apo-I level was determined through maximally selected rank statistics. Results: Using the optimal ApoA-I cutoff value (0.9 g/L), the 1,270 patients with CRC were categorized into low (< 0.9 g/L, 275 cases) and high (≥0.9 g/L, 995 cases) ApoA-I groups. Compared with other lipid indicators, ApoA-I demonstrated superior predictive accuracy. The high ApoA-I group exhibited significantly higher survival rates than the low ApoA-I group (PFS, 64.8% vs. 45.2%, P < 0.001; OS, 66.1% vs. 48.6%, P < 0.001). Each one-standard-deviation increase in ApoA-I level was related to a 12.0% decrease in PFS risk (hazard ratio [HR] 0.880; 95% confidence interval [CI], 0.801-0.968; P = 0.009) and an 11.2% decrease in OS risk (HR 0.888; 95%CI, 0.806-0.978; P = 0.015). Logistic regression analysis revealed that patients with low ApoA-I had a 32.5% increased risk of disease recurrence (odds ratio [OR] 0.675; 95%CI, 0.481-0.946; P = 0.0225) compared with those with high ApoA-I. PFS/OS nomograms based on ApoA-I demonstrated excellent prognostic prediction accuracy. Conclusions: Serum ApoA-I level may be a valuable and non-invasive tool for predicting PFS and OS in patients with CRC.

The prognostic value of preoperative D-dimer to albumin ratio for overall survival and progression-free survival in colorectal cancer.

Introduction: This study aimed to explore the predictive value of the D-dimer-to-albumin ratio (DAR) for progression-free survival (PFS) and overall survival (OS) in patients with colorectal cancer (CRC). Methods: The Kaplan-Meier method was used to plot survival curves for PFS and OS. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive efficacy of the DAR for PFS and OS in patients with CRC. Cox proportional hazards regression analysis was used to analyze prognostic factors influencing outcomes. A nomogram based on the DAR was constructed to predict 1-, 3-, and 5-year prognoses of patients with CRC; its predictive ability was evaluated using the concordance index (C-index) and calibration curves. Additionally, the clinical utility of the DAR-based nomogram was validated using an internal randomized validation cohort. Results: A total of 1,339 patients with CRC who underwent surgery were enrolled. The optimal cut-off value for DAR was determined to be 3.320, dividing patients into low (<3.320 [n = 470]) and high (≥3.320 [n = 869]) DAR groups. Compared with other composite immune inflammatory markers, DAR exhibited superior prognostic predictive efficacy. Patients with a high DAR had a significantly worse prognosis than those with a low DAR (PFS, 50.9% versus [vs.] 69.4%, p < 0.001; OS, 52.9% vs. 73.8%, p < 0.001). DAR also demonstrated significant prognostic stratification for most tumor subgroups, particularly in the stage III-IV subgroup and normal carcinoembryonic antigen subgroup. DAR has been identified as an independent predictive indicator of PFS/OS in patients with CRC. For every standard deviation increase in DAR, the risk for PFS/OS in patients with CRC was reduced by 9.5% (hazard ratio [HR] 1.095 [95% confidence interval (CI) 1.013-1.185]; p = 0.022) and 9.3% (HR 1.093 [95% CI 1.012-1.180]; p = 0.024), respectively. The DAR-based nomogram was confirmed to demonstrate good prognostic prediction accuracy and achieved high evaluation in the internal validation cohort. Conclusion: Preoperative DAR is a promising biomarker for predicting PFS and OS among patients with CRC. The DAR-based prognostic prediction nomogram may serve as an effective tool for the comprehensive assessment of prognosis in patients with CRC.

Elevated serum homocysteine levels associated with poor recurrence-free and overall survival in patients with colorectal cancer.

This study aimed to evaluate the significance of homocysteine (HCY) levels in predicting recurrence-free survival (RFS) and overall survival (OS) in colorectal cancer (CRC) patients. This retrospective study involved 1272 CRC patients. The risk of mortality increased with increasing HCY levels in CRC patients. The optimal HCY cutoff value in CRC patients was 15.2 µmol/L. The RFS (45.8% vs. 60.5%, p < 0.001) and OS (48.2% vs. 63.2%, p < 0.001) of patients with high HCY levels were significantly lower than those of patients with low HCY levels. Patients with high HCY levels were older, male, had large tumours, high carcinoembryonic antigen (CEA) levels, and long hospital stays, and incurred high hospitalisation costs. Multivariate analysis showed that when HCY levels exceeded 15.2 µmol/L, the risk of adverse RFS and OS increased by 55.7% and 61.4%, respectively. Subgroup analysis showed that HCY levels could supplement CEA levels and pathological staging. We constructed HCY-based prognostic nomograms, which demonstrated feasible discrimination and calibration values better than the traditional tumour, node, metastasis staging system for predicting RFS and OS. Elevated serum HCY levels were strongly associated with poor RFS and OS in CRC patients. HCY-based prognostic models are effective tools for a comprehensive evaluation of prognosis.

Knockdown of hCINAP sensitizes colorectal cancer cells to ionizing radiation.

Colorectal cancer (CRC) poses a significant challenge in terms of treatment due to the prevalence of radiotherapy resistance. However, the underlying mechanisms responsible for radio-resistance in CRC have not been thoroughly explored. This study aimed to shed light on the role of human coilin interacting nuclear ATPase protein (hCINAP) in radiation-resistant HT-29 and SW480 CRC cells (HT-29-IR and SW480-IR) and investigate its potential implications. Firstly, radiation-resistant CRC cell lines were established by subjecting HT-29 and SW480 cells to sequential radiation exposure. Subsequent analysis revealed a notable increase in hCINAP expression in radiation-resistant CRC cells. To elucidate the functional role of hCINAP in radio-resistance, knockdown experiments were conducted. Remarkably, knockdown of hCINAP resulted in an elevation of reactive oxygen species (ROS) generation upon radiation treatment and subsequent activation of apoptosis mediated by mitochondria. These observations indicate that hCINAP depletion enhances the radiosensitivity of CRC cells. Conversely, when hCINAP was overexpressed, it was found to enhance the radio-resistance of CRC cells. This suggests that elevated hCINAP expression contributes to the development of radio-resistance. Further investigation revealed an interaction between hCINAP and ATPase family AAA domain containing 3A (ATAD3A). Importantly, ATAD3A was identified as an essential factor in hCINAP-mediated radio-resistance. These findings establish the involvement of hCINAP and its interaction with ATAD3A in the regulation of radio-resistance in CRC cells. Overall, the results of this study demonstrate that upregulating hCINAP expression may improve the survival of radiation-exposed CRC cells. Understanding the intricate molecular mechanisms underlying hCINAP function holds promise for potential strategies in targeted radiation therapy for CRC. These findings emphasize the importance of further research to gain a comprehensive understanding of hCINAP's precise molecular mechanisms and explore its potential as a therapeutic target in overcoming radio-resistance in CRC. By unraveling the complexities of hCINAP and its interactions, novel therapeutic approaches may be developed to enhance the efficacy of radiation therapy and improve outcomes for CRC patients.

Serum creatinine/cystatin C ratio as a prognostic indicator for patients with colorectal cancer.

Background: This study aimed to explore the relationship between creatinine/cystatin C ratio and progression-free survival (PFS) and overall survival (OS) in colorectal cancer (CRC) patients undergoing surgical treatment. Methods: A retrospective analysis was conducted on 975 CRC patients who underwent surgical resection from January 2012 to 2015. Restricted three-sample curve to display the non-linear relationship between PFS/OS and creatinine-cystatin C ratio. Cox regression model and Kaplan-Meier method were used to evaluate the effect of the creatinine-cystatin C ratio on the survival of CRC patients. Prognostic variables with p-value ≤0.05 in multivariate analysis were used to construct prognostic nomograms. The receiver operator characteristic curve was used to compare the efficacy of prognostic nomograms and the traditional pathological stage. Results: There was a negative linear relationship between creatinine/cystatin C ratio and adverse PFS in CRC patients. Patients with low creatinine/cystatin C ratio had significantly lower PFS/OS than those with high creatinine/cystatin C ratio (PFS, 50.8% vs. 63.9%, p = 0.002; OS, 52.5% vs. 68.9%, p < 0.001). Multivariate analysis showed that low creatinine/cystatin C ratio was an independent risk factor for PFS (HR=1.286, 95%CI = 1.007-1.642, p=0.044) and OS (HR=1.410, 95%CI=1.087-1.829, p=0.010) of CRC patients. The creatinine/cystatin C ratio-based prognostic nomograms have good predictive performance, with a concordance index above 0.7, which can predict the 1-5-year prognosis. Conclusion: Creatinine/cystatin C ratio may be an effective prognostic marker for predicting PFS and OS in CRC patients, aid in pathological staging, and along with tumour markers help in-depth prognostic stratification in CRC patients.

The value of carcinoembryonic antigen stage in staging, prognosis, and management of colorectal cancer: results from two cohort studies.

Background: Combining the carcinoembryonic antigen (CEA) level (C stage) with TNM staging can provide a more comprehensive prognostic assessment of colorectal cancer (CRC). However, the clinical value of incorporating CEA status into the TNM staging system needs to be evaluated. Methods: We used the SEER database (N = 49,350) and a retrospective cohort from China (N = 1,440). A normal CEA level was staged as C0 and an elevated CEA level was staged as C1. Restricted cubic spline analysis was used to examine the dose-response relationship between the CEA level and survival. The Kaplan-Meier method with the log-rank test was used to plot survival curves. Multivariable Cox proportional hazards regression models with forward stepwise variable selection were used to estimate the hazard ratios and 95% confidence intervals. Results: Patients with C1 were more likely to have advanced disease than those with C0. CEA on a continuous scale was positively associated with mortality risk. Compared with patients with C0 stage, those with C1 stage had significantly lower survival rates. In the SEER dataset, C1 was independently associated with poor prognosis in patients with CRC, with an approximately 70% increased risk of mortality. Patients with C1 stage had significantly lower survival than those with C0 stage at all clinical stages. Incorporating the C stage into the TNM staging refined the prediction of prognosis of patients with CRC, with a gradual decline in prognosis from stage I C0 to stage IV C1. A similar pattern was observed in the present retrospective cohort study. At each lymph node stage, patients with C1 had significantly lower 5-year survival rates than patients with C0. Compared with lymph node positivity, CEA positivity may have a stronger correlation with a worse prognosis. Conclusion: Our findings not only validated the independent prognostic significance of CEA in CRC but also demonstrated its enhanced prognostic value when combined with TNM staging. Our study provides evidence supporting the inclusion of C stage in the TNM staging system.

The cancer inflammation prognostic index is a valuable biomarker for predicting the survival of patients with stage I-III colorectal cancer.

This study aimed to assess the relationship between the Cancer-Inflammation Prognostic Index (CIPI) and disease-free survival (DFS) and overall survival (OS) in patients with stage I-III colorectal cancer (CRC). The relationship between the CIPI and survival was evaluated using restricted cubic splines. Survival curves were established using the Kaplan-Meier method and the log-rank test. Cox proportional hazards models were used to explore independent prognostic factors for CRC. Meaningful variables from the multivariate analysis were used to construct prognostic nomograms. The relationship between the CIPI values on a continuous scale and the risk of DFS/OS mortality was an inverted L-shape. Patients with a high CIPI had significantly lower DFS (53.0% vs. 68.5%, p < 0.001) and OS (55.5% vs. 71.7%, p < 0.001) than those with a low CIPI. The CIPI can also serve as an effective auxiliary tool to further distinguish the prognosis of patients with CRC at the same pathological stage, especially for stages II and III. After multivariate adjustment, a high CIPI was found to be an independent risk factor for DFS (HR 1.443, 95% CI 1.203-1.730, p < 0.001) and OS (HR 1.442, 95% CI 1.189-1.749, p < 0.001) in CRC patients. These nomograms have the advantage of integrating individual profiles, tumour characteristics, and serum inflammatory markers, providing favourable discrimination and calibration values. Compared with traditional TNM staging, nomograms have a better predictive performance. The CIPI is an effective and easy-to-use clinical tool for predicting the recurrence and overall mortality of patients with stage I-III CRC.

Prognostic significance of sarcopenia diagnosed based on the anthropometric equation for progression-free survival and overall survival in patients with colorectal cancer.

Background: The purpose of this study was to investigate the prognostic significance of sarcopenia diagnosed based on anthropometric equations for progression-free survival (PFS) and overall survival (OS) in patients with colorectal cancer (CRC). Methods: A total of 1,441 CRC patients who underwent surgical treatment between January 2012 and December 2016 were enrolled in this study. Sarcopenia was diagnosed according to validated anthropometric equations. The Kaplan-Meier method with the log-rank test was used to estimate the survival curve. Cox proportional hazards regression models with forward selection were used to evaluate risk factors affecting the prognosis of CRC patients. R package "survival" was used to build the prognostic nomograms to predict 1-5 years of PFS and OS in CRC patients. The concordance index (C-index) and calibration curve were used to evaluate the prognostic accuracy of the prognostic nomogram. Results: Two hundred and seventy-one patients (18.8%) were diagnosed with sarcopenia. Sarcopenia was significantly associated with advanced age, large tumor size, and high mortality. Compared with the non-sarcopenia patients, the PFS of sarcopenia patients was worse (5-year PFS, 48.34 vs. 58.80%, p = 0.003). Multivariate survival analysis showed that patients with sarcopenia had a higher risk (23.9%) of adverse PFS (HR, 1.239; 95%CI: 1.019-1.505, p = 0.031) than patients without sarcopenia. The OS of patients with sarcopenia was significantly worse than that of patients without sarcopenia (5-year OS: 50.92 vs. 61.62%, p = 0.001). In CRC patients, sarcopenia was independently associated with poor OS (HR: 1.273, 95%CI: 1.042-1.556, p < 0.001). Moreover, sarcopenia effectively differentiated the OS of CRC patients in the normal carcinoembryonic antigen (CEA) subgroup but not in the high CEA subgroup. Notably, sarcopenia can provide effective prognostic stratification in CRC patients at different pathological stages. Nomograms that integrated prognostic features were built to predict the risk of adverse outcomes in CRC patients. The C-index and calibration curves showed that these nomograms had good prediction accuracy. Internal validation confirmed that our nomogram has wide application potential. Conclusion: Sarcopenia diagnosed based on anthropometric equations is an independent risk factor for PFS and OS in CRC patients.

Hand grip strength-based cachexia index as a predictor of cancer cachexia and prognosis in patients with cancer.

BACKGROUND: The cachexia index is a useful predictor for cancer cachexia and prognostic assessment. However, its use is limited because of high testing costs and complicated testing procedures. Thus, in this study, we aimed to develop a hand grip strength (HGS)-based cancer cachexia index (H-CXI) as a potential predictor of cancer cachexia and prognosis in patients with cancer. METHODS: Here, 14 682 patients with cancer were studied, including the discovery (6592), internal validation (2820) and external validation (5270) cohorts. The H-CXI was calculated as [HGS (kg)/height (m)2  × serum albumin (g/L)]/neutrophil-to-lymphocyte ratio. The Kaplan-Meier method was used to create survival curves, and the log-rank test was used to compare time-event relationships between groups. A Cox proportional hazard regression model was used to determine independent risk factors for overall survival (OS). Logistic regression analysis was used to assess the association of the H-CXI with short-term outcomes and cancer cachexia. RESULTS: There was a significant non-linear relationship between the H-CXI and OS in all cohorts. Patients with a low H-CXI had significantly lower OS than those with a high H-CXI in the discovery cohort (6-year survival percentage: 55.72% vs. 76.70%, log-rank P < 0.001), internal validation cohort (6-year survival percentage: 55.81% vs. 76.70%, log-rank P < 0.001), external validation cohort (6-year survival percentage: 56.05% vs. 75.48%, log-rank P < 0.001) and total cohort (6-year survival percentage: 55.86% vs. 76.27%, log-rank P < 0.001). Notably, the prognostic stratification effect of the H-CXI in patients with advanced-stage disease was more significant than that in patients with early-stage disease. The multivariate Cox proportional risk regression model confirmed that a low H-CXI negatively affected the prognosis of patients with cancer in the discovery cohort [hazard ratio (HR) 0.75, 95% confidence interval (CI) 0.71-0.80, P < 0.001], internal validation cohort (HR 0.79, 95 %CI 0.72-0.86, P < 0.001), external validation cohort (HR 0.84, 95% CI 0.79-0.89, P < 0.001) and total cohort (HR 0.80, 95% CI 0.77-0.83, P < 0.001). Multivariate logistic regression models showed that a low H-CXI was an independent risk factor predicting adverse short-term outcomes and cancer cachexia in patients with cancer. CONCLUSIONS: The simple and practical H-CXI is a promising predictor for cancer cachexia and prognosis in patients with cancer.

Prognostic Value of Prognostic Nutritional Index in Patients With Colorectal Cancer Undergoing Surgical Treatment.

Background: To investigate the relationship between prognostic nutritional index (PNI) and the survival of patients with colorectal cancer (CRC) undergoing surgical treatment. Methods: In total 1,014 CRC patients who underwent surgical treatment were enrolled. Logistic regression analysis was used to identify the features that influenced postoperative complications in CRC patients. Restricted cubic spline was used to assess the dose-response relationship between PNI and survival in CRC patients. Kaplan-Meier method and log-rank test were used to compare survival differences between groups of CRC patients. Cox proportional risk regression models was used to assess independent risk factors for progression-free survival (PFS) and overall survival (OS) of CRC patients. Results: Low PNI was associated with high tumor burden, invasive pathological features, and poor host status. Compared with patients with high PNI, patients with low PNI have a higher incidence of complications and longer hospital stay. Low PNI was an independent risk factor for postoperative complications in CRC patients. for every SD increased in PNI, the risk of poor prognosis for CRC patients was reduced by 2.3% (HR = 0.977, 95%CI = 0.962-0.993, p = 0.004) in PFS, and 2.3% (HR = 0.977, 95%CI = 0.962-0.993, p = 0.004) in OS. PNI was an independent prognostic factor affecting the PFS and OS of CRC patients. Finally, we constructed the PNI-based nomograms to predict postoperative complications, 1-5 years PFS and OS in CRC patients. Concordance index and calibration curve indicated that the PNI-based nomograms have moderate prediction accuracy. Conclusion: PNI is an independent risk factor affecting postoperative complications, PFS and OS of CRC patients, and is a useful supplement to the TNM stage.

Combination of Geriatric Nutritional Risk Index and Carcinoembryonic Antigen to Predict the Survival of Patients With Colorectal Cancer.

Background: This study explored the value of the combination of Geriatric Nutritional Risk Index (GNRI) and carcinoembryonic antigen (CEA) for the prognosis assessment of CRC patients. Methods: This study retrospectively enrolled 1,014 CRC patients who underwent surgery between 2012 and 2014. Kaplan-Meier and log-rank tests were used to compare survival differences. Cox proportional hazards regression analysis was used to assess risk factors associated with progression-free survival (PFS) and overall survival (OS). Nomograms were constructed to predict the prognosis of CRC patients. Randomized internal validation was used to confirm the predictive accuracy of the prognostic nomograms. Results: The GNRI-CEA score was established by combining GNRI and CEA. Compared with patients with normal GNRI-CEA scores, patients with mild/moderate/severe GNRI-CEA scores had significantly lower survival (PFS, 68.99% vs. 57.75% vs. 41.34% vs. 31.36%, p < 0.001; OS, 68.99% vs. 57.75% vs. 41.34% vs. 31.36%, p < 0.001). The GNRI-CEA score is an independent factor predicting the prognosis of CRC patients. The risk of death was twofold higher in patients with low GNRI and high CEA than in those with both normal GNRI and CEA [PFS, hazard ratio (HR), 2.339; 95% confidence interval (CI), 1.656-3.303; p < 0.001; OS, HR, 2.340; 95% CI, 1.645-3.329; p < 0.001]. Prognostic nomograms had good resolution and accuracy in predicting 1-5 year PFS and OS. Randomized internal validation showed that the nomograms were reliable. Conclusion: The combination of GNRI and CEA can effectively stratify the prognosis of CRC patients. The nomogram established based on the two indices can provide a personalized reference for prognostic assessment and clinical decision-making for CRC patients.

Neutrophil-albumin ratio as a biomarker for postoperative complications and long-term prognosis in patients with colorectal cancer undergoing surgical treatment.

Background: To explore the prognostic value of the preoperative neutrophil-albumin ratio (NAR) in patients with colorectal cancer (CRC) undergoing surgical treatment. Materials and methods: The standardized log-rank statistic was used to determine the optimal cut-off value for NAR. A logistic regression model was used to evaluate the value of NAR in predicting postoperative complications. Cox proportional hazards models were used to assess the independent association of NAR with progression-free survival (PFS) and overall survival (OS) in CRC patients. Restricted cubic splines were used to assess the relationship between continuous NAR and survival in CRC patients. The Kaplan-Meier method and log-rank test were used to compare survival differences between low and high NAR groups. NAR-based prognostic nomograms were constructed to predict the 1-5-year PFS and OS of CRC patients. The concordance index (C-index) and calibration curve were used to evaluate the prognostic accuracy of the nomograms. Results: A total of 1,441 CRC patients were enrolled from January 2012 to December 2016. There were 904 men (62.7%) and 537 women (37.3%), with an average age of 58.12 ± 13.15 years. High NAR was closely associated with low BMI, advanced pathological stage, colon cancer, large tumors, vascular invasion, poor differentiation, high CEA levels, long hospital stay, and recurrence and metastasis. A high NAR was an independent risk factor for postoperative complications in CRC patients (OR: 2.298, 95% CI: 1.642-3.216, p < 0.001). Patients with a high NAR had worse PFS (40.7 vs. 59.5%, p < 0.001) and OS (42.6 vs. 62.4%, p < 0.001). After adjusting for confounders, high NAR was independently associated with PFS (HR: 1.280, 95% CI: 1.031-1.589, p = 0.025) and OS (HR: 1.280; 95% CI: 1.026-1.596, p = 0.029) in CRC patients. The C-index and calibration curves showed that the NAR-based prognostic nomograms had good predictive accuracy. Conclusion: High NAR was an independent risk factor for postoperative complications and long-term prognosis of CRC patients. NAR-based research could provide references for prognostic judgment and clinical decision-making of CRC patients.

Sex differences in the association of triceps skinfold thickness and colorectal cancer mortality.

OBJECTIVES: Triceps skinfold thickness (TSF) is an economical and effective anthropometric method for estimating cellulite. It has attracted increasing attention as a parameter to assess cancer prognosis. Owing to physiologic differences, the sex-specific value of TSF in the prognostic assessment of colorectal cancer (CRC) is unclear. The aim of this study was to explore the sex differences in the association of TSF and CRC mortality and provide practical clinical guidelines for optimizing prognostic strategies and nutritional guidance for patients with CRC. METHODS: Restricted cubic spline (RCS) regression was used to flexibly analyze the sex-specific relationship between continuous TSF and mortality. Cox regression analysis was used to estimate the independent association between TSF and mortality in CRC patients. Finally, the study population was randomly allocated to two validation cohorts for internal randomization validation. RESULTS: We found an L-shaped association between the TSF and survival of CRC patients. Multivariable-adjusted RCS showed that TSF was associated with non-significant reduced mortality in men (P = 0.076). However, in women, continuous TSF was significantly associated with reduced mortality (P = 0.002). Multivariable-adjusted Cox regression analyses confirmed that TSF was an independent factor affecting the prognosis of women with CRC (hazard ratio [HR], 0.834; 95% confidence interval [CI], 0.748-0.930; log-rank P = 0.001), but not men with CRC (HR, 0.943; 95% CI, 0.869-1.024; log-rank P = 0.161). TSF was also an independent factor for predicting life function, cachexia, and malnutrition in patients with CRC. The randomization internal validation also showed a stronger association between TSF and all-cause mortality in women than in men. CONCLUSIONS: TSF is an independent factor affecting the prognosis of women with CRC; however, the prognostic value of TSF in men with CRC may be limited.

Prognostic Significance of Preoperative Fibrinogen-to-Prealbumin Ratio in Patients with Stage I-III Colorectal Cancer Undergoing Surgical Resection: A Retrospective Cohort Study.

BACKGROUND: The objective of this study was to explore the role of preoperative fibrinogen-to-prealbumin ratio (FPR) in evaluating the prognosis of patients with stage I-III colorectal cancer (CRC). METHODS: This retrospective study enrolled 584 stage I-III CRC patients undergoing surgical resection. Logistic regression analysis was used to explore the correlation between FPR and postoperative complications. The Kaplan-Meier curve and Cox proportional hazards model were used to identify the prognostic factors. The nomograms were constructed based on the prognostic factors. The concordance index and calibration curve were used to determine the accuracy of the nomograms. Time-dependent receiver operating characteristic was used to compare the predictive prognostic efficacy of nomograms and TNM stage. RESULTS: FPR was determined to be an independent factor affecting postoperative complications. Patients with a low-FPR had a significantly better prognosis than those with a high-FPR (disease-free survival, p = 0.028; overall survival, p = 0.027), especially patients with stage I CRC (disease-free survival, p = 0.015; overall survival, p = 0.017). The Cox proportional hazards model identified FPR as an independent poor prognostic factor of disease-free survival (hazard ratio (HR) = 1.459, 95% confidence interval (CI) = 1.074-1.954, p = 0.011) and overall survival (HR = 1.405, 95% CI = 1.034-1.909, p = 0.030). The prognostic nomograms had good accuracy and were superior to the traditional TNM stage. CONCLUSIONS: FPR is a potential indicator for predicting short- and long-term prognosis of stage I-III CRC patients undergoing surgical resection.