High preoperative serum prealbumin predicts long-term survival in resected esophageal squamous cell cancer

Comprehensive evaluation of serum hepatic proteins in predicting prognosis among cancer patients with cachexia: an observational cohort study

BACKGROUND

Hepatic proteins, including albumin, prealbumin, and transferrin have been confirmed to be prognostic predictors in various cancers. This study aimed to comprehensively assess the prognostic value of these three serum markers in patients with cancer cachexia.

METHODS

This multicenter prospective cohort study included 1303 cancer cachexia patients, among whom 592 deaths occurred during a median follow-up of 20.23 months. The definition of cachexia was based on the 2011 international consensus. Concordance index (C-index) and receiver operating characteristic (ROC) curves were applied to compare the prognostic performance. The primary outcome was overall survival, which was calculated using the Kaplan-Meier method generated by log-rank test. A Cox proportional hazard regression model was used to identify independent predictors associated with survival. The secondary outcomes included 90-days mortality and quality of life (QoL).

RESULTS

C-index and ROC curves showed that albumin had the most accurate predictive capacity for survival, followed by transferrin and prealbumin. Multivariate Cox analysis confirmed that low albumin (hazard ratio [HR] = 1.51, 95% confidence interval [95%CI] = 1.28-1.80, P < 0.001), prealbumin (HR = 1.42, 95%CI = 1.19-1.69, P < 0.001), and transferrin (HR = 1.50, 95%CI = 1.25-1.80, P < 0.001) were independent risk factors for long-term survival in cancer patients with cachexia. In subgroup analysis, the prognostic value of low albumin was significant in patients with upper gastrointestinal, hepatobiliary and pancreatic, and colorectal cancers; low prealbumin was significant in colorectal cancer; and low transferrin was significant in patients with upper gastrointestinal and colorectal cancer. All three hepatic proteins were valuable as prognostic predictors for patients with advanced (Stage III and IV) cancer with cachexia. The risks of 90-days mortality and impaired QoL were higher in cachexia patients with low albumin, prealbumin, and transferrin levels.

CONCLUSION

Low albumin, prealbumin, and transferrin levels were all independent prognostic factors affecting patients with cancer cachexia, especially in patients in the advanced stages. These results highlight the value of routinely checking serum hepatic proteins in clinical practice to predict the prognosis of patients with cancer cachexia.

Clinical Significance of Prealbumin Level Measurement Before Neoadjuvant Chemotherapy in Elderly Patients With Locally Advanced Esophageal Cancer

BACKGROUND/AIM

Radical esophagectomy after preoperative neoadjuvant chemotherapy (NAC) is the standard treatment for locally advanced esophageal squamous cell carcinoma (ESCC). However, careful treatment selection is required when considering organ function in elderly patients. Prealbumin, a rapid turnover protein, is a short-term dynamic nutritional index, and its relationship with long-term postoperative survival in various cancers has been previously reported. However, the association between serum prealbumin level before NAC and survival in elderly patients remains unclear. This study investigated the clinical significance of prealbumin level measurement before NAC in elderly patients with locally advanced ESCC who underwent surgery after NAC.

PATIENTS AND METHODS

Eighty patients aged ≥65 years diagnosed with cStage II/III ESCC and undergoing radical esophagectomy after cisplatin and 5-fluorouracil therapy as NAC, were included. The cutoff value of the serum prealbumin level before NAC was set at 18.2 mg/dl using receiver operating characteristic curve analysis, and postoperative complications, recurrence, and overall survival were compared between the low and high prealbumin groups.

RESULTS

There were no differences in patient background, clinicopathological characteristics, postoperative complications, or recurrence-free survival between the two groups. Overall survival (OS) was significantly worse in the low prealbumin group than in the high prealbumin group (5-year survival, 33.3% vs. 67.0%; p=0.0341). Furthermore, on univariate and multivariate analysis, low prealbumin level was an independent poor OS factor (p=0.036).

CONCLUSION

In elderly patients with locally advanced ESCC, serum prealbumin level before NAC may be a useful prognostic factor and may be important in selecting a treatment strategy that considers individual organ function.

Clinical and prognostic significance of perioperative change in red cell distribution width in patients with esophageal squamous cell carcinoma

BACKGROUND

Numerous studies have reported the prognostic significance of the red cell distribution width (RDW) in patients with esophageal squamous cell carcinoma (ESCC), but the relationship between the perioperative change in RDW (delta RDW) and survival in patients with ESCC after surgery has not been evaluated.

METHODS

A total of 594 patients with newly diagnosed ESCC after surgery were enrolled in the study. Delta RDW (delta RDW = Postoperative RDW-Preoperative RDW) was counted based on data within one week before surgery and two weeks after surgery. To investigate the relationship between delta RDW and overall survival (OS), the median delta RDW was chosen as the cut-off value.

RESULTS

99 (16.7%) patients had pathological stage 1a-1b, 202 (34.0%) patients had pathological stage 2a-2b, and 293 (49.3%) patients had pathological stage 3a-3c.There were 179 (30.1%) patients who had vessel invasive, and 415 (69.9%) patients without vessel invasive. There were 216 (36.4%) patients with nerve infiltration, and 378 (63.6%) without nerve infiltration. In univariate analysis, five parameters including delta RDW(≥ 0.44 vs.<0.44) (P = 0.039, HR = 1.337, 95% CI = 1.014-1.762) significantly correlated with worse OS. Multivariate analysis revealed that delta RDW(≥ 0.44 vs.<0.44) was an independent prognostic marker for OS (P = 0.033, HR = 1.356, 95% CI = 1.025-1.793). Kaplan-Meier curves showed that delta RDW ≥ 0.44 was significantly associated with worse OS (P = 0.039). Subgroup analysis suggested that delta RDW ≥ 0.44 indicated worse survival in patients with ESCC exclusively in these subtypes such as female patients, age > 60 patients, patients with lymph node metastasis, and patients with vessel invasive.

CONCLUSIONS

Perioperative change in red cell distribution width predicts worse survival in patients with ESCC after surgery.

Clinlabomics: leveraging clinical laboratory data by data mining strategies

The recent global focus on big data in medicine has been associated with the rise of artificial intelligence (AI) in diagnosis and decision-making following recent advances in computer technology. Up to now, AI has been applied to various aspects of medicine, including disease diagnosis, surveillance, treatment, predicting future risk, targeted interventions and understanding of the disease. There have been plenty of successful examples in medicine of using big data, such as radiology and pathology, ophthalmology cardiology and surgery. Combining medicine and AI has become a powerful tool to change health care, and even to change the nature of disease screening in clinical diagnosis. As all we know, clinical laboratories produce large amounts of testing data every day and the clinical laboratory data combined with AI may establish a new diagnosis and treatment has attracted wide attention. At present, a new concept of radiomics has been created for imaging data combined with AI, but a new definition of clinical laboratory data combined with AI has lacked so that many studies in this field cannot be accurately classified. Therefore, we propose a new concept of clinical laboratory omics (Clinlabomics) by combining clinical laboratory medicine and AI. Clinlabomics can use high-throughput methods to extract large amounts of feature data from blood, body fluids, secretions, excreta, and cast clinical laboratory test data. Then using the data statistics, machine learning, and other methods to read more undiscovered information. In this review, we have summarized the application of clinical laboratory data combined with AI in medical fields. Undeniable, the application of Clinlabomics is a method that can assist many fields of medicine but still requires further validation in a multi-center environment and laboratory.

Prealbumin as a nutrition status indicator may be associated with outcomes of geriatric hip fractures: a propensity score matching and 1-year follow-up study

AIM

Nutrition status may affect bone metabolism and regeneration in the elderly. However, few studies reported a sensitive nutrition indicator or evaluation tool for geriatric hip fractures. This study aimed to explore if prealbumin (PAB), a critical nutrition-related protein, is related to the prognosis of hip fractures.

METHODS

Patients with hip fractures who met the inclusion criteria were included in our study. Geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) were calculated. Propensity score matching (PSM) was used to reduce the influence of confounding factors and ROC curves were conducted to explore the optimal cutoff points of PAB and to compare the prognostic value between GNRI, PNI, and PAB. Then Cox and Logistics analyses were performed to identify the relation between PAB and outcomes of hip fractures.

RESULTS

Out of the 546 patients enrolled in this study, 91 patients died within one year. After a 1:1 PSM, the patients with less than 1-year survival had significantly lower PAB (p < 0.001) than those who were still alive at one year. ROC curves showed that the PAB may sensitively predict 6-month survival (AUROC: 0.695), 1-year survival (AUROC: 0.696), and 1-year-free walking ability (AUROC: 0.642). Logistics analysis showed that low PAB may be an independent risk factor for survival and 1-year-free walking ability.

CONCLUSION

Low levels of PAB may be associated with poor survival and walking abilities of older patients after surgery for hip fracture.

Transferrin and Prealbumin Identify Esophageal Cancer Patients with Malnutrition and Poor Prognosis in Patients with Normal Albuminemia: A Cohort Study

In this study, we aimed to analyze whether serum prealbumin and transferrin have a higher sensitivity than albumin for detecting malnutrition and predicting survival in esophageal cancer patients. A total of 212 patients were prospectively enrolled. Serum albumin, prealbumin, and transferrin were analyzed by enzyme-linked immunosorbent assays. The association of nutritional markers with survival was analyzed. We found that malnutrition was presented in 44.5% of the patients, while 56.6% were unaware of their body weight change. The area under the curve for diagnosing malnutrition was largest for prealbumin, followed by transferrin and albumin, with optimal breakpoints of 21 mg/dL, 206 mg/dL, and 4.3 g/dL, respectively, for diagnosing malnutrition. The diagnostic sensitivity for malnutrition was 34.1-63.4% with a single marker and this increased to 80.5% with all 3 markers. In patients with normal albuminemia (≥ 4.3 g/dL), a low level of prealbumin and/or transferrin predicted malnutrition and poor prognosis. Multivariate Cox regression analysis confirmed that a low level of the nutritional marker was an independent poor prognostic factor. In conclusion, serum prealbumin and transferrin outperformed albumin in identifying esophageal cancer patients with malnutrition and poor prognosis. Checking all three markers will help with the early diagnosis of malnutrition and enable timely intervention.

Preoperative transferrin level is a novel indicator of short- and long-term outcomes after esophageal cancer surgery

BACKGROUND

This study aimed to examine whether preoperative serum transferrin, a rapid-turnover protein, correlates with short- and long-term outcomes after esophagectomy.

METHODS

Preoperative transferrin levels, calculated by summing serum iron and unsaturated iron-binding capacity, were evaluated in 224 patients who underwent esophagectomy for stage I-III esophageal cancer without preoperative treatment. Transferrin levels are directly proportional to total iron-binding capacity (TIBC), and we defined TIBC < 250 μg/dL as low transferrin. We evaluated the relationship between preoperative transferrin levels and short- and long-term outcomes after esophagectomy using univariate and multivariate Cox proportional hazards analyses.

RESULTS

Of all patients, 25 (11.2%) had low preoperative transferrin levels. Low preoperative transferrin levels were strongly correlated with worse preoperative performance status, advanced pathological T stage, and more open esophagectomy (p = 0.0078, 0.0001, and 0.013, respectively). Patients with low preoperative transferrin levels experienced significantly more frequent postoperative pneumonia in univariate and multivariate analysis [hazard ratio (HR) 3.30, 95% confidence interval (CI) 1.032-10.033, p = 0.0443]. Additionally, these patients were significantly correlated with worse overall survival (OS) in univariate and multivariate analyses (HR 2.75, 95% CI 1.018-7.426, p = 0.0460). Furthermore, we investigated the relationship between OS and postoperative pneumonia to elucidate why low preoperative transferrin, which is an independent risk factor for postoperative pneumonia, leads to poor prognosis. Patients with postoperative pneumonia were strongly associated with a shorter OS (p = 0.0099).

CONCLUSION

Preoperative serum transferrin levels may be a novel indicator of postoperative pneumonia and OS after esophagectomy.

Comparative analysis of the prognostic utility of preoperative nutritional parameters in patients with resectable esophageal carcinoma

OBJECTIVE

Although surgical resection is a mainstay in the management of esophageal carcinoma (EC), its postoperative outcomes remain unsatisfactory. To optimize surgical strategies for EC, a simple method of stratifying patients according to risk factors is desired. Controlling nutritional status (CONUT), the prognostic nutritional index (PNI), transthyretin and transferrin are nutritional parameters used to predict the long-term outcomes of EC patients. We aimed to comparatively evaluate the prognostic significance of these four markers, measured preoperatively, in patients with operable EC.

METHODS

In total, 224 patients undergoing surgical resection for EC were retrospectively reviewed. Overall/cancer-specific survivals (OS/CSS) were estimated applying the Cox proportional hazard model to univariate and multivariate analyses. PNI, transthyretin and transferrin levels were treated as continuous variables in these analyses.

RESULTS

Preoperative CONUT had significant associations with tumor location, depth and preoperative irradiation. The other three markers all showed significant relationships with age and tumor depth. On univariate Cox regression analysis, preoperative CONUT, PNI, transthyretin and transferrin all correlated significantly with OS and CSS. On multivariate Cox regression analysis, the preoperative transthyretin level was identified as an independent predictor of OS (HR 0.51 per 10 mg/dL increase, 95% CI 0.29-0.88, p = 0.017) and CSS (HR 0.50, 95% CI 0.27-0.91, p = 0.027) as well as tumor depth, nodal metastasis and preoperative irradiation, while the other three parameters were not.

CONCLUSIONS

Preoperative transthyretin, as a continuous variable, independently predicted both OS and CSS in resectable EC patients, appearing to be the best prognosticator among conventional nutrition-related parameters.