Prognostic impact of lactic dehydrogenase to albumin ratio in hepatocellular carcinoma patients with Child-Pugh I who underwent curative resection: a prognostic nomogram study

Prognostic Value of CRP-Albumin-Lymphocyte (CALLY) Index in Patients Undergoing Surgery for Breast Cancer

Purpose

According to the 2023 global cancer data, breast cancer is the most common malignant tumor among women in the world. Its occurrence and development is influenced by inflammation, nutrition, and immune status. Therefore, this study combines C-reactive protein (CRP), albumin, and lymphocyte, which can reflect the above states, to form the CRP-albumin-lymphocyte (CALLY) index, an indicator to evaluate its relationship with overall survival (OS) and disease-free survival (DFS) in breast cancer patients.

Patients and Methods

We retrospectively analyzed the clinical and follow-up data of 174 patients with breast cancer. The optimal cutoff for the preoperative CALLY index was identified by considering the area under the receiver operating characteristic curve; subsequently, the discriminatory ability of the cutoff was determined. The effect of the CALLY index on overall survival (OS) and disease-free survival (DFS) was analyzed using the Kaplan-Meier method and the Cox proportional hazards model. The CALLY index was calculated as: (Albumin × Lymphocyte)/(CRP × 104).

Results

The cut-off value of the CALLY index was determined at 2.285. With a cut-off value of 2.285, patients were divided into two groups: those with CALLY <2.285 and those with CALLY ≥2.285. CALLY Index ≥ 2.285 was associated with better survival outcomes. Multivariate Cox analysis showed that TNM stage and CALLY index were prognostic factors that affected OS and DFS.

Conclusion

The CALLY index is a new prognostic biomarker for breast cancer patients after surgery. This new CALLY index allows for suitable patients with a poor prognosis to receive postoperative adjuvant therapy.

Is High Score of Preoperative Lactate Dehydrogenase to Albumin Ratio Predicting Poor Survivals in Esophageal Carcinoma Patients?

PURPOSE

The lactate dehydrogenase-to-albumin ratio (LAR) has been reported as a potential prognostic biomarker in various cancers; however, only a few pieces of information have been reported on esophageal cancer. Therefore, this study aimed to evaluate the prognostic significance of preoperative LAR in patients with esophageal cancer.

METHODS

This study included 236 patients (193 men and 43 women; mean age of 66 years [range, 41-83 years]) with esophageal cancer who underwent curative surgery between September 2008 and March 2020. A total of 107 patients underwent upfront surgery, and 129 patients received neoadjuvant treatment. Patients were assigned into two groups, high and low LAR, based on preoperative LAR using a cutoff value of 6.2. The clinicopathological and prognostic significance of preoperative LAR was evaluated in univariate and multivariate analyses.

RESULTS

Patients with deep tumors and neoadjuvant treatment were significantly associated with high LAR (p <0.05). The high LAR group showed a significantly poorer prognosis than the low LAR group (p <0.01). The multivariate analysis for the overall survival showed that deep tumors, lymph node metastasis, and high LAR were independent poor prognostic factors (p <0.05).

CONCLUSION

High LAR was a useful poor prognostic biomarker in patients with esophageal cancer.

Effect of serum lactate dehydrogenase-to-albumin ratio (LAR) on the short-term outcomes and long-term prognosis of colorectal cancer after radical surgery

BACKGROUND

Whether serum lactate dehydrogenase-to-albumin ratio (LAR) influenced the outcomes of colorectal cancer (CRC) patients after radical surgery remained unclear. Therefore, this study sought to examine how LAR influences the short-term and long-term outcomes of CRC patients who have undergone radical surgery.

METHODS

This study retrospectively included CRC patients who underwent radical resection between January 2011 and January 2020. We compared short-term outcomes, as well as overall survival (OS) and disease-free survival (DFS), among various groups. Both univariate and multivariate logistic regression analyses were utilized to pinpoint independent risk factors associated with overall complications and major complications. Moreover, Cox regression analysis were conducted for OS and DFS. Odds ratio (OR) and Hazard ratio (HR) were adjusted.

RESULTS

This study encompassed a cohort of 3868 patients. 3440 patients were in the low LAR group and 428 patients constituted the high LAR group. In the high LAR group, patients experienced significantly longer operative times (p < 0.01), larger intraoperative blood loss (p < 0.01), and extended postoperative hospital stays (p < 0.01). Additionally, the incidence of both overall complications (p < 0.01) and major complications (p < 0.01) was higher in the high LAR group compared to the low LAR group. Furthermore, LAR was emerged as an independent prognostic factor for overall complications [OR/95% CI: (1.555/1.237 to 1.954), p < 0.01] and major complications [OR/95% CI: (2.178/1.279 to 3.707), p < 0.01]. As for long-term survival, the high LAR group had worse OS in stage II (p < 0.01) and stage III (p < 0.01). In both stage II (p < 0.01) and stage III (p < 0.01), the high LAR group exhibited poorer DFS. Additionally, according to Cox regression analysis, LAR was identified as an independent predictor for both OS [HR/95% CI: (1.930/1.554 to 2.398), p < 0.01] and DFS [HR/95% CI: (1.750/1.427 to 2.146), p < 0.01].

CONCLUSION

LAR emerged as an independent predictor not only for overall complications and major complications but also for both OS and DFS, highlighting its significance and deserving the attention of surgeons.

Prognostic Significance of Preoperative Lactate Dehydrogenase to Albumin Ratio in Breast Cancer: A Retrospective Study

Purpose

We explored the relationship between platelet count to lymphocyte count ratio (PLR), monocyte count to lymphocyte count ratio (MLR), lactate dehydrogenase to albumin ratio (LAR), and long-term survival in patients with breast cancer.

Patients and Methods

We retrospectively analyzed the clinical and follow-up data of 134 patients with breast cancer. The receiver operating characteristic curve (ROC curve) was used to distinguish between the low and high ratio groups. The chi-square test or Fisher's exact test was used to calculate the differences among the investigation factors. 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. A P value of <0.05 was considered statistically significant.

Results

The median follow-up time was 45 months. The PFS rates in the low group (LAR≤3.4066) at 18 months, 24 months, and 36 months were 100%, 100%, and 97.6%, and those in the high group (LAR > 3.4066) were 97.7%, 94.3%, and 87.3%, respectively. LAR was associated with Age (P=0.002) and BMI (body mass index) (P=0.002). Univariate analysis showed that Tumor size (P=0.027), Node positivity (P<0.001), TNM (tumor-node-metastasis) stage (P<0.001), PLR (P=0.034), MLR (P=0.038), and LAR (P=0.035) were significantly associated with PFS (progression-free survival) in breast cancer patients. Multivariate analysis showed that Node positivity (P<0.001) and LAR (P=0.035) were associated with PFS, while PLR and MLR were not independent prognostic indicators.

Conclusion

Preoperative high LAR will be an independent predictor of prognosis in patients with breast cancer.

Prognostic Significance of Serum Albumin Level and Albumin-Based Mono- and Combination Biomarkers in Patients with Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer. Although many surgical and nonsurgical therapeutic options have been established for treating HCC, the overall prognosis for HCC patients receiving different treatment modalities remains inadequate, which causes HCC to remain among the most life-threatening human cancers worldwide. Therefore, it is vitally important and urgently needed to develop valuable and independent prognostic biomarkers for the early prediction of poor prognosis in HCC patients, allowing more time for more timely and appropriate treatment to improve the survival of patients. As the most abundant protein in plasma, human serum albumin (ALB) is predominantly expressed by the liver and exhibits a wide variety of essential biological functions. It has been well recognized that serum ALB level is a significant independent biomarker for a broad spectrum of human diseases including cancer. Moreover, ALB has been commonly used as a potent biomaterial and therapeutic agent in clinical settings for the treatment of various human diseases. This review provides a comprehensive summary of the evidence from the up-to-date published literature to underscore the prognostic significance of serum ALB level and various ALB-based mono- and combination biomarkers in the prediction of the prognosis of HCC patients after treatment with different surgical, locoregional, and systemic therapies.

Utilizing the Lactate Dehydrogenase-to-Albumin Ratio for Survival Prediction in Patients with Bladder Cancer After Radical Cystectomy

Purpose

Previous studies have suggested that the preoperative lactate dehydrogenase-to-albumin ratio (LAR) is correlated with survival in several cancers except bladder cancer (BCa). This study aimed to determine the prognostic value of the LAR in patients with urothelial carcinoma of the bladder (UCB) after radical cystectomy (RC).

Patients and Methods

A total of 595 UCB patients with RC in West China Hospital from December 2010 to May 2020 were enrolled. A receiver operating characteristic (ROC) curve was used to determine the optimal cutoff value of the LAR. Kaplan-Meier curves and Cox regression analyses were applied to evaluate the association of the LAR with overall survival (OS) and recurrence-free survival. Independent factors in multivariate analyses were selected to construct nomograms. Calibration curves, ROC curves, concordance index (C-index) and decision curve analyses were used to evaluate the performance of the nomograms.

Results

The optimal cutoff value of the LAR was determined to be 3.8. Preoperative low LAR was associated with decreased OS (P < 0.001) and RFS (P < 0.001), especially in patients with ≥ pT2 disease. LAR was an independent factor for OS (hazard ratio [HR]: 1.719; P <0.001) and RFS (HR: 1.429; P = 0.012). The addition of the LAR into nomograms could result in better prediction performance. The areas under the curves of the nomograms were 0.821 and 0.801 for the prediction of 3-year OS and RFS, respectively. The C-indexes of the nomograms were 0.760 and 0.741 for the prediction of OS and RFS, respectively.

Conclusion

The preoperative LAR is a novel and reliable independent prognostic biomarker for survival in UCB after RC.

Creation and Validation of a Survival Nomogram Based on Immune-Nutritional Indexes for Colorectal Cancer Patients

Nutritional and inflammatory status was associated with prognosis in various types of malignant cancer, including colorectal cancer (CRC). This clinical research was performed to estimate the prognostic role of immune-nutritional indexes CRC in patients and to set up a survival nomogram based on the significant immune-nutritional indexes. 1024 CRC patients underwent surgical resection from Wuhan Union Hospital were enrolled and divided into the test cohort (n = 717) and validation cohort (n = 307). A total of 19 immune-nutritional indexes were included into our analysis. The Cox regression analysis was utilized to identify the informative immune-nutritional indexes which were closely associated with overall survival (OS) and disease-free survival (DFS). Survival nomograms were created in the test set and further verified in the validation set. Td-ROC was curved to estimate the predictive performance of survival nomograms for CRC patients. Body mass index (BMI), chemotherapy, TNM stage, T stage, lactate dehydrogenase (LDH)/prealbumin (PA), monocytes (MON)/albumin (ALB), and prognostic nutritional index (PNI) were seven potent prognostic biomarkers of CRC patients. We created an OS-nomogram based on the seven risk indexes, and the predictive accuracy expressed with area under curve (AUC) was 0.826 for 1-year, 0.809 for 3-year, and 0.80 for 5-year OS rates in the test set and 0.795 for 1-year, 0.749 for 3-year, and 0.647 for 5-year OS rates in the validation set. TNM stage, T stage, LDH/ALB, and MON/ALB were risk factors for unfavorable DFS in CRC patients. We further built a DFS-nomogram based on the four risk factors, and the predictive performance presented with AUC was 0.806 for 1-year, 0.763 for 3-year, and 0.82 for 5-year DFS rates in the test set, and 0.704 for 1-year, 0.692 for 3-year, and 0.692 for 5-year DFS rates in the validation set. Our survival nomogram based on immune-nutritional indexes is a useful and potential prognostic tool in CRC patients.

Integration of pre-surgical blood test results predict microvascular invasion risk in hepatocellular carcinoma

Microvascular invasion (MVI) is one of the most important factors leading to poor prognosis for hepatocellular carcinoma (HCC) patients, and detection of MVI prior to surgical operation could great benefit patient's prognosis and survival. Since it is still lacking effective non-invasive strategy for MVI detection before surgery, novel MVI determination approaches were in urgent need. In this study, complete blood count, blood test and AFP test results are utilized to perform preoperative prediction of MVI based on a novel interpretable deep learning method to quantify the risk of MVI. The proposed method termed as "Interpretation based Risk Prediction" can estimate the MVI risk precisely and achieve better performance compared with the state-of-art MVI risk estimation methods with concordance indexes of 0.9341 and 0.9052 on the training cohort and the independent validation cohort, respectively. Moreover, further analyses of the model outputs demonstrate that the quantified risk of MVI from our model could serve as an independent preoperative risk factor for both recurrence-free survival and overall survival of HCC patients. Thus, our model showed great potential in quantification of MVI risk and prediction of prognosis for HCC patients.

Prognostic significance of pretreatment serum lactate dehydrogenase-to-albumin ratio in gastric cancer

Aim of the study

To investigate the prognostic role of lactate dehydrogenase-to-albumin ratio (LAR) in gastric cancer patients undergoing curative resection.

Material and methods

A retrospective study was conducted including resectable gastric cancer patients. According to the time-dependent receiver operating characteristics (ROC) analysis, the optimal threshold for pretreatment LAR was 5.5. The Kaplan-Meier method, Cox regression univariate and multivariate analyses were used to analyze the prognostic factors for disease-free survival and overall survival (OS).

Results

The study cohort consisted of 81 patients, mean age was 60.2 ±13.8 (range, 29–87) years and 55 (67.9%) were male. The median OS time was 34.8 and 45 months in patients with LAR ≥ 5.5 (n = 50) and LAR < 5.5 (n = 31), respectively. Kaplan-Meier curves showed that with the increase in LAR there was reduced survival, but it was not statistically significant (p = 0.278). Multivariate analyses revealed that the positive lymph node ratio above 20% was an independent predictor in resectable gastric cancer patients (OR = 6.281, 95% CI: 1.135–34.767, p = 0.035).

Conclusions

With the increase in LAR survival in gastric cancer decreased, but it was not statistically significant. Studies involving a large patient series are needed.

Nomogram Based on Systemic Immune Inflammation Index and Prognostic Nutrition Index Predicts Recurrence of Hepatocellular Carcinoma After Surgery

Background

Surgery is a potential cure for hepatocellular carcinoma (HCC), but its postoperative recurrence rate is high, its prognosis is poor, and reliable predictive indicators are lacking. This study was conducted to develop a simple, practical, and effective predictive model.

Materials and Methods

Preoperative clinical and postoperative pathological data on patients with HCC undergoing partial hepatectomies at the Third Affiliated Hospital of Soochow University from January 2010 to December 2015 were retrospectively analyzed, and a nomogram was constructed. The model performance was evaluated using C-indexes, receiver operating characteristic curves, and calibration curves. The results were verified from validation cohort data collected at the same center from January 2016 to January 2017 and compared with the traditional staging systems.

Results

Three hundred three patients were enrolled in this study: 238 in the training cohort and 65 in the validation cohort. From the univariate and multivariate Cox regression analyses in the training cohort, six independent risk factors, i.e., age, alpha-fetoprotein (AFP), tumor size, satellite nodules, systemic immune inflammation index (SII), and prognostic nutritional index (PNI), were filtered and included in the nomogram. The C-index was 0.701 [95% confidence interval (CI): 0.654–0.748] in the training cohort and 0.705 (95% CI: 0.619–0.791) in the validation cohort. The areas under the curve for the 1- and 3-year recurrence-free survival were 0.706 and 0.716 in the training cohort and 0.686 and 0.743 in the validation cohort, respectively. The calibration curves showed good agreement. Compared with traditional American Joint Committee on Cancer 8th edition (AJCC8th) and Barcelona Clinic Liver Cancer (BCLC) staging systems, our nomogram showed better predictive ability.

Conclusion

Our nomogram is simple, practical, and reliable. According to our nomogram, predicting the risk of recurrence and stratifying HCC patient management will yield the greatest survival benefit for patients.

The prognostic significance of serum lactate dehydrogenase-to-albumin ratio in colorectal cancer

Purpose

The purpose of our study was initially to explore the prognostic role of LDH-to-albumin ratio in patients with colorectal carcinoma (CRC) undergoing curative resection.

Methods

The retrospective study included 295 CRC patients that underwent curative resection. According to time-dependent receiver operating characteristics (ROC) analysis, the optimal cutoff value for pretreatment LDH-to-albumin ratio was 52.7. Cox regression univariate and multivariate analyses were utilized to analyze the prognostic factors for disease-free survival (DFS) and overall survival (OS).

Results

The 295 participants included 117 women (39.7%) and had an overall mean age of 55.8 ± 14.1 years. The median follow-up period was 31.8 ± 21 months (range, 6–78 months) and 53 patients (18.0%) died from cancer during the follow-up period. The 5-year DFS and OS rates were 65.4% and 68.5% in patients with LDH-to-albumin ratio <52.7 (n = 152), and were 55.2% and 55.4% in patients with LDH-to-albumin ratio ≥52.7 (n = 143), respectively. Kaplan-Meier curves showed that LDH-to-albumin ratio ≥52.7 was significantly associated with worse DFS and OS (P = 0.003 and P < 0.001, respectively). Multivariate analyses revealed that LDH-to-albumin ratio was an independent predictor of resectable CRC (odds ratio, 2.104; 95% confidence interval, 1.112–3.982; P = 0.022).

Conclusion

Our study revealed that high pretreatment LDH-to-albumin ratio level was an unfavorable prognosticator in patients with CRC undergoing curative resection. LDH-to-albumin ratio is a candidate to be a prognostic biomarker in clinical practice.

Identification of CD206 as a potential biomarker of cancer stem-like cells and therapeutic agent in liver cancer

The mannose receptor (CD206) functions in endocytosis and phagocytosis, and plays an important role in immune homeostasis. Tumor-associated macrophages express high level of CD206 and are thought to contribute to cancer progression through tumor immunosuppression, metastasis and angiogenesis. However, the significance of CD206 in the pathology of liver cancer has not been investigated. The present study evaluated the clinical significance of CD206 in the progression and prognosis of liver cancer in pathological tissues from 327 patients. Increased CD206 expression was observed in liver cancer samples compared with healthy adjacent liver tissue (42.8 vs. 62.4%; P<0.05). CD206 expression was significantly associated with tumor size (P=0.009) and metastasis (P=0.041). The recurrence free survival rate of patients with CD206-positive liver cancer was significantly decreased compared with patients with CD206-negative liver cancer (P=0.003). A Cox regression model revealed that liver cancer survival was independently associated with tumor size, metastasis and α-fetoprotein value. The results further revealed that CD206 expression in cancer stem cell (CSC)-like cells was comparable to other internationally recognized biomarkers. Additionally, when CD206 expression was silenced in the liver cancer cell lines HepG2 and PLC/PRF/5 using a short hairpin RNA approach, migration and invasion of the cells significantly decreased compared with controls (P<0.01). CD206 expression in liver cancer significantly influences distant metastasis and spread, resulting in poor patient prognosis. Furthermore, CD206 may be a potential biomarker in CSC-like cells to predict the occurrence of liver cancer.