Preoperative Albumin-Bilirubin Grade as a Prognostic Predictor in Colorectal Cancer Patients Who Undergo Radical Resection

Correlation between pre-treatment serum total blood bilirubin and unconjugated bilirubin and prognosis in patients with colorectal cancer

BACKGROUND

Epidemiological studies have found that unconjugated bilirubin (UCB) levels are positively correlated with the incidence of colorectal cancer (CRC). Therefore, bilirubin may also play an important role in the prognosis of CRC.

AIM

To investigate the predictive value of total bilirubin (TBIL) and UCB in the prognosis of patients with CRC.

METHODS

A total of 142 CRC patients were selected as the research subjects in Jingxian Hospital, from October 2014 to May 2021. General and tumour-related clinical data at admission and the overall survival at 3 years after surgery were collected. The optimal cut-off values of TBIL and UCB were determined by receiver operating characteristic curve analysis. Univariate and multivariate Cox regression were used to analyse the effect of bilirubin level on the survival of CRC patients. The Kaplan-Meier method was used to assess the survival time.

RESULTS

The 3-year overall survival rate of CRC patients was significantly higher in the high TBIL (> 13.45 μmol/L) group than in the low TBIL (≤ 13.45 μmol/L) group (76.4% vs 37.1%; P < 0.05). The 3-year overall survival rate of CRC patients in the high UCB (> 10.75 μmol/L) group was significantly higher than that in the low UCB (≤ 10.75 μmol/L) group (83.3% vs 34.2%; P < 0.05). Multivariate Cox regression analysis showed that higher TBIL levels were an independent predictor of better prognosis in CRC patients (hazard ratio = 0.360, 95% confidence interval: 0.159-0.812, P = 0.014).

CONCLUSION

TBIL levels can be used as a prognostic indicator for CRC patients.

Skeletal muscle gauge prediction by a machine learning model in patients with colorectal cancer

OBJECTIVES

Skeletal muscle gauge (SMG) was recently introduced as an imaging indicator of sarcopenia. Computed tomography is essential for measuring SMG; thus, the use of SMG is limited to patients who undergo computed tomography. We aimed to develop a machine learning algorithm using clinical and inflammatory markers to predict SMG in patients with colorectal cancer.

METHODS

The least absolute shrinkage and selection operator regression model was applied for variable selection and predictive signature building in the training set. The predictive accuracy of the least absolute shrinkage and selection operator model, defined as linear predictor (LP)-SMG, was compared using the area under the receiver operating characteristic curve and decision curve analysis in the test set.

RESULTS

A total of 1094 patients with colorectal cancer were enrolled and randomly categorized into training (n = 656) and test (n = 438) sets. Low SMG was identified in 142 (21.6%) and 90 (20.5%) patients in the training and test sets, respectively. According to multivariable analysis of the test sets, LP-SMG was identified as an independent predictor of low SMG (odds ratio = 1329.431; 95% CI, 271.684-7667.996; P < .001). Its predictive performance was similar in the training and test sets (area under the receiver operating characteristic curve = 0.846 versus 0.869; P = .427). In the test set, LP-SMG had better outcomes in predicting SMG than single clinical variables, such as sex, height, weight, and hemoglobin.

CONCLUSIONS

LP-SMG had superior performance than single variables in predicting low SMG. This machine learning model can be used as a screening tool to detect sarcopenic status without using computed tomography during the treatment period.

The Effect of Bilirubin on Clinical Outcomes of Patients With Colorectal Cancer Surgery: A Ten-Year Volume Single-Center Retrospective Study

The current study aimed to evaluate the effect of bilirubin on the outcomes of colorectal cancer (CRC) in patients who underwent radical CRC surgery. The levels of serum bilirubin, including total bilirubin (TBil), direct bilirubin (DBil) and indirect bilirubin (IBil), were divided into higher groups and lower groups according to the median. Multivariate logistic regression was performed to analyze the independent predictors for overall complications and major complications. For TBil, the hospitalization time of the higher TBil group was longer than that of the lower TBil group (p = 0.014 < 0.05). For DBil, the higher DBil group had longer operation times (p < 0.01), more intraoperative bleeding (p < 0.01), longer hospital stays (p < 0.01), and higher rates of overall complications (p < 0.01) and major complications (p = 0.021 < 0.05) than the lower DBil group. For the IBil group, blood loss during operation (p < 0.01) and hospital stays (p = 0.041 < 0.05) in the higher IBil group were lower than those in the lower IBil group. In terms of complications, we found that DBil was an independent predictor for overall complications (p < 0.01, OR = 1.036, 95% CI = 1.014-1.058) and major complications (p = 0.043, HR= 1.355, 95% CI= 1.009-1.820). Higher preoperative DBil increase the risk of complications after primary CRC surgery.

Single versus multiple hyperthermic intraperitoneal chemotherapy applications for T4 gastric cancer patients: Efficacy and safety profiles

Objective

To explore the clinical safety and efficacy of single and multiple applications of lobaplatin-based hyperthermic intraperitoneal chemotherapy (HIPEC) for patients with T4 gastric cancer and to evaluate the impact of HIPEC on peritoneal metastasis.

Materials and methods

We retrospectively reviewed prospectively collected data from T4 gastric cancer patients who underwent radical gastric resection plus HIPEC between March 2018 and August 2020 from the National Cancer Center and Huangxing Cancer Hospital. Patients who underwent radical surgery and HIPEC were divided into two groups: the single-HIPEC group (radical resection + a single application of intraoperative HIPEC with lobaplatin 50 mg/m2 at 43.0 ± 0.5°C for 60 min), and a multi-HIPEC group (two more HIPEC applications were performed after radical surgery).

Results

A total of 78 patients were enrolled in this two-center study; among them, 40 patients were in the single-HIPEC group, and 38 patients were in the multi-HIPEC group. The baseline characteristics were well balanced between the two groups. There was no significant difference in the postoperative complication rates between the two groups (P &gt; 0.05). Mild renal dysfunction, mild liver dysfunction, low platelet levels and low white blood cell levels were recorded in both groups, without significant differences between the two groups (P &gt; 0.05). After a mean follow-up of 36.8 months, 3 (7.5%) patients in the single-HIPEC group and 2 (5.2%) patients in the multi-HIPEC group experienced peritoneal recurrence (P &gt; 0.05). Both groups had comparable 3-year overall survival (OS) (51.3% vs. 54.5%, P = 0.558) and 3-year disease-free survival (DFS) rates (44.1% vs. 45.7%, P = 0.975). Multivariate analysis showed that an age &gt; 60 years and low preoperative albumin levels were independent risk factors for postoperative complications.

Conclusion

Single and multiple applications of HIPEC in patients with T4 gastric cancer were safe and feasible. Both groups had similar postoperative complication rates, 3-year OS rates and 3-year DFS rates. Special attention should be given to HIPEC for patients aged &gt; 60 years and patients with low preoperative albumin levels.

Prognostic value of the preoperative albumin-bilirubin score among patients with stages I-III gastric cancer undergoing radical resection: A retrospective study

The albumin-bilirubin (ALBI) score was originally used to accurately assess liver dysfunction and predict the prognoses of patients with hepatocellular carcinoma. Following its more recent application to patients with gastrointestinal tumors, this study analyzed the prognostic value of the ALBI score in Chinese patients with advanced resectable (tumor-node-metastasis [TNM] stages I-III) gastric cancer (GC). This study investigated 1185 patients with advanced GC, including 429 with TNM stage I. The patients were divided into training and verifications groups (593 and 592 patients, respectively) in which these patients were classified as high risk (ALBI score ≥ -2.65) or low risk (ALBI score < -2.65). Univariate and multivariate Cox regression analyses were performed, and a visual survival prediction model (nomogram) was created. On Kaplan-Meier analysis, patients who were low-risk and high-risk according to their ALBI scores had significantly different survival rates in both the training and verification groups (p < 0.01). The difference was also significant when analyzing only patients with TNM stage I GC (p = 0.031). Univariate and multivariate analyses showed that the ALBI score (p = 0.014), age (p < 0.001), Nutritional Risk Screening 2002 score (p = 0.024), sarcopenia (p = 0.049), tumor differentiation (p = 0.027), and TNM stage (p < 0.001) were independent risk factors for survival. Our survival prediction model that incorporated the ALBI score accurately predicted the 5-year survival rate of Chinese patients with GC. Therefore, the ALBI score is a valid clinical indicator and good predictor of survival after surgery for progressive GC. Moreover, this score is simple to derive and does not burden patients with additional costs.

Preoperative albumin-bilirubin score as a prognostic indicator in patients with stage III colon cancer

The albumin-bilirubin (ALBI) score was created to assess the severity of liver dysfunction and to predict prognosis of hepatocellular carcinoma. Purpose of this study was to investigate the prognostic value of the ALBI score in patients with stage III colon cancer using propensity score matching (PSM) analysis. This study analyzed 510 patients with stage III colon cancer who had surgery between 2014 and 2015. The ALBI score was calculated as follows: (log10 bilirubin (μmol/L) [Formula: see text] 0.66) + (albumin (g/L) [Formula: see text] -0.0852), and the optimal cut-off value was determined using a receiver operating characteristic analysis and the Youden Index. According to the calculated cut-off value, patients were divided into two groups: Group A (ALBI ≤  - 2.54) and Group B (ALBI >  - 2.54). The average ALBI score was - 2.68 (from - 3.39 to - 0.69). Group A had a significantly higher 5-year disease-free survival rate (85.5% vs 75.7%, p = 0.02), 5-year cancer-specific survival rate (93.7% vs 84.4%, p = 0.02), and 5-year overall survival rate (90.6% vs 77.4%, p = 0.01) than Group B. High ALBI scores were found to be an independent risk factor for both disease-free survival (HR 1.68, p = 0.048) and cancer-specific survival (HR 2.24, p = 0.028). The preoperative ALBI score was found to be a promising prognostic indicator for predicting recurrence and survival in patients with stage III colon cancer in this study. Because the ALBI score is simple and inexpensive to obtain, it has the potential to be a useful clinical marker for colon cancer patients.

An exploratory study on TCM syndrome differentiation in preoperative patients with colorectal cancer assisted by laboratory indicators

Objective

This paper aims to explore the relationship between the syndrome differentiation of traditional Chinese medicine (TCM) in colorectal cancer and the clinical laboratory indicators of patients, and to further seek the laboratory indicators to assist TCM syndrome differentiation.

Methods

From May 2020 to June 2021, 122 colorectal cancer patients with a clear pathological diagnosis who had not undergone surgery or chemotherapy were classified according to the TCM syndrome classification. The clinical laboratory indicators of 122 patients with preoperative colorectal cancer were collected, and the correlation between preoperative colorectal cancer TCM syndromes and Karnofsky score and clinical laboratory indicators was analyzed. The indicators affecting TCM syndromes were included in the disordered multivariate logistic regression analysis model to analyze the relative risk of the influencing factors.

Results

The syndromes of colorectal cancer patients were classified into excess syndrome, deficiency syndrome, and syndrome of intermingled deficiency & excess. The differences in total bilirubin (TBIL), hemoglobin (HB), uric acid (UA), and hematocrit (HCT) between the three groups were statistically significant (P < 0.05). The indexes such as TBIL, HB, UA, and HCT in preoperative patients with excess syndrome of colorectal cancer were higher than those in patients with syndrome of intermingled deficiency & excess and deficiency syndrome, and the comparison between groups using the LSD method showed that UA and HCT were different between the excess syndrome and deficiency syndrome groups (P < 0.05). Multivariate logistic regression analysis indicated that Gender, Tumor location, TNM stage, Total protein (TP), Red blood cell (RBC), HB, HCT, Platelet (PLT) and Fibrinogen (FIB) were all risk factors affecting TCM syndromes of preoperative colorectal cancer (P < 0.05).

Conclusion

There is a correlation between the TCM syndromes of colorectal cancer and the clinical laboratory indicators of the patients. Gender, Tumor location, TNM stage, TP, RBC, HB, HCT, PLT and FIB are the risk factors of TCM syndrome differentiation in preoperative patients with colorectal cancer. TBIL, UA, HB, and HCT may be the four relevant indicators of TCM syndrome differentiation in colorectal cancer.

Association of Albumin-Bilirubin Grade and Myosteatosis with its Prognostic Significance for Patients with Colorectal Cancer

BACKGROUND

The albumin-bilirubin (ALBI) grade is a useful prognostic and predictive marker for patients with liver disease. Its clinical significance has been limited to patients with colorectal cancer (CRC). Furthermore, the association between the ALBI grade and skeletal muscle-related indices is unclear.

METHODS

This study enrolled 1015 patients who underwent computed tomography (CT) scans within 31 days before surgery. The prognostic value of the ALBI grade in predicting overall survival (OS) was assessed using the Cox proportional hazards model. The correlation between the ALBI grade and the skeletal muscle index or radiodensity (myosteatosis) was evaluated. The predictive accuracy of ALBI alone and in combination with myosteatosis was compared using Harrell's concordance index (C-index).

RESULTS

The significant prognostic factors for OS identified in the multivariable analysis were the ALBI group (low vs high: hazard ratio [HR], 1.566; 95 % confidence interval [CI], 1.174-2.089; p = 0.002) and myosteatosis (low vs. high: HR, 0.648; 95 % CI, 0.486-0.865; p = 0.003). The rate of low-grade myosteatosis increased as the ALBI grade increased. The C-index of combined ALBI and myosteatosis (0.650; 95 % CI, 0.618-0.683) was superior to that of ALBI alone (0.603; 95 % CI, 0.575-0.631; bootstrap incremental area under the curve [iAUC] mean difference, 0.047; 95 % CI, 0.012-0.070) and myosteatosis alone (0.608; 95 % CI, 0.577-0.640; bootstrap iAUC mean difference, 0.042; 95 % CI, 0.023-0.064).

CONCLUSION

The ALBI grade is significantly associated with myosteatosis. The ALBI grade is a significant prognostic factor, and the combination of ALBI and myosteatosis show an additive value in discriminating survival of patients with CRC.

A TP53 mutation model for the prediction of prognosis and therapeutic responses in head and neck squamous cell carcinoma

BACKGROUND

Tumor protein p53 (TP53) is the most frequently mutated gene in head and neck squamous cell carcinoma (HNSC), and TP53 mutations are associated with inhibited immune signatures and poor prognosis. We established a TP53 mutation associated risk score model to evaluate the prognosis and therapeutic responses of patients with HNSC.

METHODS

Differentially expressed genes between patients with and without TP53 mutations were determined by using data from the HNSC cohort in The Cancer Genome Atlas database. Patients with HNSC were divided into high- and low-risk groups based on a prognostic risk score that was generated from ten TP53 mutation associated genes via the multivariate Cox regression model.

RESULTS

TP53 was the most common mutant gene in HNSC, and TP53 mutations were associated with immunogenic signatures, including the infiltration of immune cells and expression of immune-associated genes. Patients in the high-risk group had significantly poorer overall survival than those in the low-risk group. The high-risk group showed less response to anti-programmed cell death protein 1 (PD-1) therapy but high sensitivity to some chemotherapies.

CONCLUSION

The risk score based on our TP53 mutation model was associated with poorer survival and could act as a specific predictor for assessing prognosis and therapeutic response in patients with HNSC.