Hypoalbuminemia in colorectal cancer prognosis: Nutritional marker or inflammatory surrogate?

Copper Dysmetabolism is Connected to Epithelial-Mesenchymal Transition: A Pilot Study in Colorectal Cancer Patients

Colorectal cancer (CRC) is among the most diagnosed cancers worldwide, whose risk of mortality is associated with the development of metastases to the liver, lungs, and peritoneum. Of note, CRC is highly dependent on copper to sustain its proliferation and aggressiveness. Copper acts not only as a pivotal cofactor for several cuproproteins but also as an allosteric modulator of kinases essential to fulfill the epithelial-to-mesenchymal-transition (EMT), the main mechanism driving cancer cell spreading. System biology identified the APP and SOD1 genes among the top 10 genes shared between CRC and copper metabolism, as confirmed by the upregulation of the protein/mRNA levels of APP observed in CRC tissues. The significant increase of copper found in the sera of CRC patients was paralleled by a strong reduction of copper in the CRC tissues, in agreement with the decreased level of the high-affinity copper transporter CTR1 mRNA (SLC31A1) and LOXL2. As expected, in CRC tissues the mesenchymal marker fibronectin was significantly increased, whereas vimentin and vinculin protein levels were decreased compared to adjacent healthy mucosa. Interestingly, correlation analysis showed an interconnection between vinculin and both CCS and APP. A positive correlation was also observed between APP mRNA and both CDH1 and SOD1 mRNAs. Overall, we demonstrate a correlation between cell copper imbalance and CRC progression via EMT. The results obtained lay the scientific basis for further investigation to describe the kinetics of copper dysregulation during CRC progression and to identify the main cuproproteins involved in the modulation of EMT.

Prognostic value of visceral protein ratios in patients with colon cancer

This study aimed to assess different combinations of visceral proteins and to elucidate their value in predicting progression-free survival (PFS) and overall survival (OS) in patients with colon cancer. The visceral protein ratios included the albumin-globulin ratio (AGR), prealbumin-globulin ratio (PGR), and albumin-prealbumin-globulin ratio (APGR). Compared with AGR and PGR, APGR had the best time-dependent area under the receiver operating characteristic curves for predicting the outcomes. High AGR/PGR/APGR levels were associated with an increased risk of mortality. High AGR (HR = 0.816, 95%CI: 0.719-0.925, p = 0.001), PGR (HR = 0.831, 95%CI: 0.724-0.953, p = 0.008), and APGR (HR = 0.789, 95%CI: 0.688-0.904, p < 0.001) were independent risk factors for PFS. For every SD increase in AGR, PGR, and APGR, the risk of poor OS in patients with colon cancer was reduced by 16.9 % (HR = 0.831, 95%CI, 0.733-0.943; p = 0.001), 15.1 % (HR = 0.849, 95%CI, 0.739-0.976; p = 0.021), and 19.1 % (HR = 0.809, 95%CI, 0.705-0.928; p = 0.002), respectively. Logistic regression models showed that AGR, PGR, and APGR were independent factors that affected recurrence. Visceral protein ratios are independent predictors of PFS and OS. Compared to the existing visceral protein ratios (AGR and PGR), APGR is a more accurate and sensitive indicator for predicting the outcomes of patients with colon cancer.

Inflammatory and nutritional markers in colorectal cancer: Implications for prognosis and treatment

The prognosis of colorectal cancer (CRC) patients with peritoneal metastasis remains poor despite advancements in detection and treatment. Preoperative inflammatory and nutritional markers have emerged as significant predictors of prognosis in CRC, potentially guiding treatment decisions and improving patient outcomes. This editorial explores the prognostic value of markers such as the neutrophil-to-lymphocyte ratio, hemoglobin, and serum albumin levels. By integrating these markers into prognostic models, clinicians can better stratify patients, personalize treatment strategies, and ultimately enhance clinical outcomes. This review highlights the importance of these markers in providing a comprehensive assessment of patient condition and underscores the need for further research to validate their clinical utility and uncover underlying mechanisms.

Reduced muscle mass is an important part of Global Leadership Initiative on Malnutrition criteria in nutritional diagnosis of hepatocellular carcinoma

BACKGROUND

The Global Leadership Initiative on Malnutrition criteria (GLIM) was established to build a global consensus on the diagnostic criteria for malnutrition. The study aimed to assess the prevalence of the malnutrition diagnosed by GLIM criteria for patients with hepatocellular carcinoma (HCC), and to determine the role of the reduced muscle mass defined by CT scans in the GLIM criteria.

METHODS

This cohort research was conducted on adult cirrhotic patients with HCC. The risk of malnutrition was screened by Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. The third lumbar vertebrae (L3-SMI) were used to represent the muscle mass in GLIM criteria. The variables associated with overall mortality were assessed by multivariate Cox regression analyses.

RESULTS

The incidence of malnutrition diagnosed by GLIM criteria was 49.7% (179/360) in patients with HCC. If reduced muscle mass was not included in GLIM criteria, the prevalence of malnutrition was 31.7% (114/360). GLIM-defined malnutrition (HR = 1.979, 95%CI 1.019-3.841, P = 0.044) was independently associated with overall mortality in patients with HCC. However, the GLIM-defined malnutrition (without muscle mass) was not associated with overall mortality (HR = 0.863, 95%CI 0.399-1.867, P = 0.709).

CONCLUSIONS

Skeletal muscle mass is an integral component of the GLIM criteria for patients with HCC. The malnutrition is common in patients with HCC, and malnourishment is associated with higher overall mortality. GLIM criteria are recommended to assess the nutritional status of hospitalized patients with HCC, which is recommended and can be used as the basis for nutritional interventions.

Impact of hypoalbuminemia on outcomes following pancreaticoduodenectomy: a NSQIP retrospective cohort analysis of 25,848 patients

BACKGROUND

Efforts to preoperatively risk stratify and optimize patients before pancreaticoduodenectomy continue to improve outcomes. This study aims to determine the impact of hypoalbuminemia on outcomes following pancreaticoduodenectomy and outline optimal hypoalbuminemia cut-off values in this population.

METHODS

The ACS-NSQIP (2016-2021) database was used to extract patients who underwent pancreaticoduodenectomy, comparing those with hypoalbuminemia (< 3.0 g/L) to those with normal albumin. Demographics and 30-day outcomes were compared. Multivariable modeling evaluated factors including hypoalbuminemia to characterize their independent effect on serious complications, and mortality. Optimal albumin cut-offs for serious complications and mortality were evaluated using receiver-operating characteristic curves.

RESULTS

We evaluated 25,848 pancreaticoduodenectomy patients with 2712 (10.5%) having preoperative hypoalbuminemia. Patients with hypoalbuminemia were older (68.2 vs. 65.1; p < 0.0001), and were significantly more likely to be ASA class 4 or higher (13.9% vs. 6.7%; p < 0.0001). Patients with hypoalbuminemia had significantly more 30-day complications and after controlling for comorbidities hypoalbuminemia remained a significant independent factor associated with 30-day serious complications (OR 1.80, p < 0.0001) but not mortality (OR 1.37, p = 0.152).

CONCLUSIONS

Hypoalbuminemia plays a significant role in 30-day morbidity following pancreaticoduodenectomy. Preoperative albumin may serve as a useful marker for risk stratification and optimization.

Prognostic value of systemic inflammation score in patients with esophageal cancer

Introduction

The systemic inflammatory score (SIS), a new inflammatory marker based on a combination of the lymphocyte-to-monocyte ratio (LMR) and serum albumin concentration, has been reported to be a useful prognostic marker for several malignancies. The authors conducted this retrospective study on data from a cohort of esophageal cancer patients undergoing potentially curative resection to clarify the value of SIS as a prognostic marker for clinical outcome in this population.

Methods

This retrospective cohort study included 32 patients who underwent thoracoscopic esophagectomy after neoadjuvant chemotherapy for esophageal cancer between January 2016 and December 2019. Blood samples were collected within one week prior to the initiation of preoperative chemotherapy. Three inflammatory and nutritional markers; SIS, the neutrophil-to-lymphocyte ratio (NLR), and prognostic nutrition index (PNI) were examined in this study. Disease-free survival was assessed using the Kaplan-Meier method, and univariable and multivariable Cox models were applied to evaluate the predictive value of SIS, NLR and PNI.

Results

NLR and PNI were not associated with recurrence, while SIS scores of 1 and 2 were significantly associated with recurrence. In multivariate analysis, SIS scores of 1 or 2 were found to be independently associated with recurrence, each with a hazard ratio of 1.98. In addition, when examining immunologic and nutritional factors and survival rates, there was no significant difference in the survival rate for NLR and PNI; for SIS, however, the survival rate was significantly worse in patients with SIS scores of 1 or 2.

Conclusions

The authors demonstrated that a novel and easily obtained prognostic score, termed SIS, based on pre-treatment serum albumin and LMR, can serve as an independent prognostic factor in postoperative esophageal cancer patients. It could be incorporated into conventional clinical and pathological algorithms to enhance the prognostic accuracy in this population.

Exploration of the application potential of serum multi-biomarker model in colorectal cancer screening

Analyzing blood lipid and bile acid profile changes in colorectal cancer (CRC) patients. Evaluating the integrated model's diagnostic significance for CRC. Ninety-one individuals with colorectal cancer (CRC group) and 120 healthy volunteers (HC group) were selected for comparison. Serum levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and apolipoproteins (Apo) A1, ApoA2, ApoB, ApoC2, and ApoC3 were measured using immunoturbidimetric and colorimetric methods. Additionally, LC-MS/MS was employed to detect fifteen bile acids in the serum, along with six tumor markers: carcinoembryonic antigen (CEA), carbohydrate antigens (CA) 125, CA19-9, CA242, CA50, and CA72-4. Group comparisons utilized independent sample t-tests and Mann-Whitney U tests. A binary logistic regression algorithm was applied to fit the indicators and establish a screening model; the diagnostic accuracy of individual Indicators and the model was analyzed using receiver operating characteristic (ROC) curves. The CRC group showed significantly lower levels in eight serum lipid indicators and eleven bile acids compared to the HC group (P < 0.05). Conversely, serum levels of TG, CA19-9, and CEA were elevated (P < 0.05). Among the measured parameters, ApoA2 stands out for its strong correlation with the presence of CRC, showcasing exceptional screening efficacy with an area under the curve (AUC) of 0.957, a sensitivity of 85.71%, and a specificity of 93.33%. The screening model, integrating ApoA1, ApoA2, lithocholic acid (LCA), and CEA, attained an impressive AUC of 0.995, surpassing the diagnostic accuracy of individual lipids, bile acids, and tumor markers. CRC patients manifest noteworthy alterations in both blood lipids and bile acid profiles. A screening model incorporating ApoA1, ApoA2, LCA, and CEA provides valuable insights for detecting CRC.

Association of prognostic nutritional index with mortalities in American adult cancer survivors: A cohort study based on NHANES, 1999-2018

The prognostic nutritional index (PNI) has been associated with disease progression and overall survival among cancer patients. Nonetheless, the association between PNI and mortality risk in adult cancer patients within the United States remains unexplored. This study aims to elucidate the connection between PNI and prognostic outcomes in American adult cancer patients. This cohort study derived data from the National Health and Nutrition Examination database, involving 4366 American adults diagnosed with cancer between 1999 and 2018. The nutritional status was assessed using the PNI, with higher PNI scores indicating a more favorable nutritional status. The study employed Kaplan-Meier curves and Cox proportional hazard regression to investigate the impact of PNI on various outcomes, including all-cause mortality (ACM), cardiovascular mortality (CAM), and malignancy tumor mortality (MTM) among adult cancer patients. Furthermore, restricted cubic spline models were used to examine the potential nonlinear relationship between the variables by creating hazard ratio (HR) curves at four specific points. The median follow-up duration was 84 months, during which 1530 (35.04%) cases of ACM occurred, including 331 (13.67%) CAM and 449 (10.45%) MTM. COX regression analysis revealed a significant inverse association between PNI and patient prognosis, with HRs of 0.95 (95% CI: 0.93-0.96, p < .001) for ACM, 0.93 (95% CI: 0.90-0.96, p < .001) for CAM, and 0.94 (95% CI: 0.91-0.97, p < .001) for MTM. Both Kaplan-Meier analyses and restricted cubic spline curves showed significant differences in mortality rates related to PNI (p < .001, nonlinear p < .001). Our study provides compelling evidence of a clear association between PNI and reduced risk of ACM, CAM, and MTM in adult cancer patients in the United States. These findings underscore the significance of incorporating PNI as a possible prognostic indicator for individuals diagnosed with cancer.

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.

Predictive value of HTS grade in patients with intrahepatic cholangiocarcinoma undergoing radical resection: a multicenter study from China

BACKGROUND

Intrahepatic cholangiocarcinoma (ICC) is a highly malignant tumor with a poor prognosis. This study aimed to investigate whether Hemoglobin, Albumin, Lymphocytes, and Platelets (HALP) score and Tumor Burden Score (TBS) serves as independent influencing factors following radical resection in patients with ICC. Furthermore, we sought to evaluate the predictive capacity of the combined HALP and TBS grade, referred to as HTS grade, and to develop a prognostic prediction model.

METHODS

Clinical data for ICC patients who underwent radical resection were retrospectively analyzed. Univariate and multivariate Cox regression analyses were first used to find influencing factors of prognosis for ICC. Receiver operating characteristic (ROC) curves were then used to find the optimal cut-off values for HALP score and TBS and to compare the predictive ability of HALP, TBS, and HTS grade using the area under these curves (AUC). Nomogram prediction models were constructed and validated based on the results of the multivariate analysis.

RESULTS

Among 423 patients, 234 (55.3%) were male and 202 (47.8) were aged ≥ 60 years. The cut-off value of HALP was found to be 37.1 and for TBS to be 6.3. Our univariate results showed that HALP, TBS, and HTS grade were prognostic factors of ICC patients (all P < 0.05), and ROC results showed that HTS had the best predictive value. The Kaplan-Meier curve showed that the prognosis of ICC patients was worse with increasing HTS grade. Additionally, multivariate regression analysis showed that HTS grade, carbohydrate antigen 19-9 (CA19-9), tumor differentiation, and vascular invasion were independent influencing factors for Overall survival (OS) and that HTS grade, CA19-9, CEA, vascular invasion and lymph node invasion were independent influencing factors for recurrence-free survival (RFS) (all P < 0.05). In the first, second, and third years of the training group, the AUCs for OS were 0.867, 0.902, and 0.881, and the AUCs for RFS were 0.849, 0.841, and 0.899, respectively. In the first, second, and third years of the validation group, the AUCs for OS were 0.727, 0.771, and 0.763, and the AUCs for RFS were 0.733, 0.746, and 0.801, respectively. Through the examination of calibration curves and using decision curve analysis (DCA), nomograms based on HTS grade showed excellent predictive performance.

CONCLUSIONS

Our nomograms based on HTS grade had excellent predictive effects and may thus be able to help clinicians provide individualized clinical decision for ICC patients.

Preoperative albumin-alkaline phosphatase ratio affects the prognosis of patients undergoing hepatocellular carcinoma surgery

BACKGROUND

The correlation between the preoperative albuminalkaline phosphatase ratio (AAPR) and the prognosis of hepatocellular carcinoma (HCC) patients after radical resection is still not comprehensive.

OBJECTIVE

This study aims to observe the correlation between preoperative AAPR and the prognosis of HCC patients after radical resection.

METHODS

We constructed a retrospective cohort study and included 656 HCC patients who underwent radical resection. The patients were grouped after determining an optimum AAPR cut-off value. We used the Cox proportional regression model to assess the correlation between preoperative AAPR and the prognosis of HCC patients after radical resection.

RESULTS

The optimal cut-off value of AAPR for assessing the prognosis of HCC patients after radical resection was 0.52 which was acquired by using X-tile software. Kaplan-Meier analysis curves showed that a low AAPR (⩽ 0.52) had a significantly lower rate of overall survival (OS) and recurrence-free survival (RFS) (P< 0.05). Multiple Cox proportional regression showed that an AAPR > 0.52 was a protective factor for OS (HR = 0.66, 95%CI 0.45-0.97, p= 0.036) and RFS (HR = 0.70, 95% CI 0.53-0.92, p= 0.011).

CONCLUSIONS

The preoperative AAPR level was related to the prognosis of HCC patients after radical resection and can be used as a routine preoperative test, which is important for early detection of high-risk patients and taking personalized adjuvant treatment.

Anti-Cancer Properties of Flaxseed Proteome

Flaxseed has been recognized as a valuable source of nutrients and bioactive compounds, including proteins that possess various health benefits. In recent years, studies have shown that flaxseed proteins, including albumins, globulins, glutelin, and prolamins, possess anti-cancer properties. These properties are attributed to their ability to inhibit cancer cell proliferation, induce apoptosis, and interfere with cancer cell signaling pathways, ultimately leading to the inhibition of metastasis. Moreover, flaxseed proteins have been reported to modulate cancer cell mechanobiology, leading to changes in cell behavior and reduced cancer cell migration and invasion. This review provides an overview of the anti-cancer properties of flaxseed proteins, with a focus on their potential use in cancer treatment. Additionally, it highlights the need for further research to fully establish the potential of flaxseed proteins in cancer therapy.

Association Between C-Reactive Protein and Albumin Ratios and Risk of Mortality in Patients with Chronic Obstructive Pulmonary Disease

Purpose

This study was to evaluate the association between C-reactive protein (CRP) to albumin (ALB) ratio (CAR) and the risk of mortality in patients with chronic obstructive pulmonary disease (COPD).

Methods

In this retrospective cohort study, clinical data were extracted from the National Institutes of Health National Health and Nutrition Examination Survey (NHANES) database between 2007 and 2010. Cox proportional hazard regressions were performed to assess the association between CAR and 5-year mortality in COPD patients. Subgroup analyses were applied to identify the consistency of the association based on the severity of COPD, gender, body mass index (BMI), smoking status, cardiovascular disease (CVD), and chronic kidney disease (CKD), and diabetes. The area under the curve (AUC) of the receiver operator characteristic (ROC) curve analysis was used to evaluate the predictive performance of CAR.

Results

A total of 1210 COPD patients were included, of which 110 COPD patients (9.09%) had 5-year mortality. The mean follow-up was 57.76 (0.33) months. A higher CAR was associated with an increased risk of 5-year mortality in COPD patients [hazard ratio (HR): 1.94, 95% confidence interval (CI): 1.07 to 3.50, P =0.029)]. Subgroup analysis showed that the association between CAR and mortality was especially suitable for COPD patients with mild COPD, in COPD patients who were still smoking, in COPD patients with BMI <=29.9 kg/m2, in COPD patients who were without CVD, in COPD patients who were without diabetes, and COPD patients who were without CKD. The AUCs of CAR for predicting 1-year, 3-year, and 5-year mortality in COPD patients were 0.735, 0.615, and 0.608, respectively.

Conclusion

CAR is strongly correlated with mortality in patients with COPD and CAR could be served as a prognostic biomarker for patients with COPD. This study may provide a promising prognostic biomarker for risk stratification and clinical management of patients with COPD.

A Narrative Literature Review on Sepsis: A Primary Manifestation of Colorectal Neoplasm

Sepsis and colorectal cancer (CRC) exhibit a complex relationship that warrants further exploration. This review delves into the interplay of factors between sepsis and CRC, uncovering shared pathophysiological traits and potential bacterial associations. Understanding these connections could pave the way for earlier diagnosis, improved management, and enhanced outcomes in CRC patients. The role of immune system dysfunction, hypoalbuminemia, and specific microbial imbalances, such as Streptococcus bovis and Clostridium septicum, are discussed. Recognizing sepsis in CRC patients is crucial for timely intervention, and tailored approaches encompassing antibiotic therapy, source control measures, and cancer treatment are essential for comprehensive care. Monitoring biomarkers and ratios can provide valuable insights into complications and overall health outcomes. A multidisciplinary approach involving various specialists is necessary to address the global burden of CRC and its association with sepsis while exploring novel interventions, such as fecal microbiota transplantation and personalized care. We conducted a thorough search using reputable databases such as PubMed, Scopus, and Google Scholar to investigate the connection between sepsis and CRC. We refined our search terms, utilized sidebar filters, and examined references in selected articles. This meticulous process helped us create a comprehensive literature review and gain valuable insights into this relationship.

Development of nomogram for predicting major complications in patients with esophageal cancer in the early postoperative period

PURPOSE

To investigate the predictive value of the Prognostic Nutrition Index (PNI) in major complications after esophagectomy for esophageal cancer and to develop a Nomogram risk prediction model.

METHOD

The clinical data of 386 patients who underwent radical esophageal cancer surgery from May 2019 to March 2022 were retrospectively analyzed. Logistic regression analysis was performed to screen independent risk factors associated with major postoperative complications. A nomogram risk prediction model for major postoperative complications was developed based on the predictors, and the clinical utility of the model was assessed by decision curve analysis(DCA).

RESULT

In this study logistic univariate regression analysis found that age, preoperative radiotherapy, American Society of Anesthesiologists physical status (ASA score), length of surgery, and PNI may be associated with the development of major postoperative complications. logistic multifactorial analysis showed that the above risk factors were independent risk factors for the development of major postoperative complications in esophageal cancer. Nomogram was developed by incorporating the above risk factors with ASA classification. The calibration curves showed that the model had a good agreement. The decision curves showed that the model has good clinical application.

CONCLUSION

Individualized nomograms based on PNI combined with clinical indicators can be used to predict major complications in the early postoperative period and help to enhance perioperative management.

C-reactive protein/albumin ratio is the most significant inflammatory marker in unresectable pancreatic cancer treated with FOLFIRINOX or gemcitabine plus nab-paclitaxel

There are limited absolute biomarkers for determining the prognosis before first- and second-line palliative chemotherapy in unresectable pancreatic cancer (urPC) patients. To find the best prognostic inflammatory marker, we investigated relationships between overall survival (OS) and six inflammatory markers; C-reactive protein/albumin ratio (CAR), neutrophil-lymphocyte ratio (NLR), prognostic nutrition index (PNI), platelet-lymphocyte ratio (PLR), Glasgow prognostic score (GPS), and prognostic index (PI). We examined 255 patients who received gemcitabine + nab-paclitaxel or FOLFIRINOX as first-line chemotherapy and 159 patients who subsequently underwent second-line chemotherapy. First-line patients with lower CAR had better OS compared to those with a higher CAR (hazard ratio 0.57; 95% confidential index 0.42-77; P < 0.01). Similarly, lower NLR (P = 0.01), higher PNI (P = 0.04), lower PLR (P = 0.03), GPS score of 0 (P < 0.01) and PI score of 0 (P < 0.01) were all associated with better OS. CAR demonstrated the best superiority for determining survival prognosis through the use of area under the curve of time-dependent receiver-operating characteristic curves. Furthermore, a lower CAR before second-line therapy exhibited better OS versus higher CAR (P < 0.01). Therefore, CAR might be a useful biomarker for predicting urPC patient prognosis in both first- and second-line chemotherapy.

Endocytosis in cancer and cancer therapy

Endocytosis is a complex process whereby cell surface proteins, lipids and fluid from the extracellular environment are packaged, sorted and internalized into cells. Endocytosis is also a mechanism of drug internalization into cells. There are multiple routes of endocytosis that determine the fate of molecules, from degradation in the lysosomes to recycling back to the plasma membrane. The overall rates of endocytosis and temporal regulation of molecules transiting through endocytic pathways are also intricately linked with signalling outcomes. This process relies on an array of factors, such as intrinsic amino acid motifs and post-translational modifications. Endocytosis is frequently disrupted in cancer. These disruptions lead to inappropriate retention of receptor tyrosine kinases on the tumour cell membrane, changes in the recycling of oncogenic molecules, defective signalling feedback loops and loss of cell polarity. In the past decade, endocytosis has emerged as a pivotal regulator of nutrient scavenging, response to and regulation of immune surveillance and tumour immune evasion, tumour metastasis and therapeutic drug delivery. This Review summarizes and integrates these advances into the understanding of endocytosis in cancer. The potential to regulate these pathways in the clinic to improve cancer therapy is also discussed.

Vision for Ratiometric Nanoprobes: In Vivo Noninvasive Visualization and Readout of Physiological Hallmarks

Lesion areas are distinguished from normal tissues surrounding them by distinct physiological characteristics. These features serve as biological hallmarks with which targeted biomedical imaging of the lesion sites can be achieved. Although tremendous efforts have been devoted to providing smart imaging probes with the capability of visualizing the physiological hallmarks at the molecular level, the majority of them are merely able to derive anatomical information from the tissues of interest, and thus are not suitable for taking part in in vivo quantification of the biomarkers. Recent advances in chemical construction of advanced ratiometric nanoprobes (RNPs) have enabled a horizon for quantitatively monitoring the biological abnormalities in vivo. In contrast to the conventional probes whose dependency of output on single-signal profiles restricts them from taking part in quantitative practices, RNPs are designed to provide information in two channels, affording a self-calibration opportunity to exclude the analyte-independent factors from the outputs and address the issue. Most of the conventional RNPs have encountered several challenges regarding the reliability and sufficiency of the obtained data for high-performance imaging. In this Review, we have summarized the recent progresses in developing highly advanced RNPs with the capabilities of deriving maximized information from the lesion areas of interest as well as adapting themselves to the complex biological systems in order to minimize microenvironmental-induced falsified signals. To provide a better outlook on the current advanced RNPs, nanoprobes based on optical, photoacoustic, and magnetic resonance imaging modalities for visualizing a wide range of analytes such as pH, reactive species, and different derivations of amino acids have been included. Furthermore, the physicochemical properties of the RNPs, the major constituents of the nanosystems and the analyte recognition mechanisms have been introduced. Moreover, the alterations in the values of the ratiometric signal in response to the analyte of interest as well as the time at which the highest value is achieved, have been included for most of RNPs discussed in this Review. Finally, the challenges as well as future perspectives in the field are discussed.

Sarcopenia and frailty as predictors of surgical morbidity and oncologic outcomes in retroperitoneal sarcoma

BACKGROUND

Retroperitoneal sarcomas (RPS) are rare tumors for which surgical resection is the principal treatment. There is no established model to predict perioperative risks for RPS. We evaluated the association between preoperative sarcopenia, frailty, and hypoalbuminemia with surgical and oncological outcomes.

METHODS

We performed a prospective cohort analysis of 65 RPS patients who underwent surgical resection. Sarcopenia was defined as Total Psoas Area Index ≤ 1st quintile by sex. Frailty was estimated using the modified frailty index (mFI). Logistic regression models were used to assess predictors of 30-day postoperative morbidity. The Kaplan-Meier method with log-rank test was utilized to assess factors associated with overall (OS) and recurrence-free survival (RFS).

RESULT

Sarcopenia was associated with worse OS with a median of 54 compared with 158 months (p = 0.04), but no differences in RFS (p > 0.05). Hypoalbuminemia was associated with worse OS with a median of 72 compared with 158 months (p < 0.01). MFI scores were not associated with OS or RFS (p > 0.05). Sarcopenia, mFI, and hypoalbuminemia were not associated with postoperative morbidity (p > 0.05).

CONCLUSION

This study suggests that sarcopenia may be utilized as a measure of overall fitness, rather than a cancer-specific risk, and the mFI is a poor predictive measure of outcomes in RPS.

Prognostic significance of the Naples prognostic score in colorectal cancer patients undergoing curative resection: a propensity score matching analysis

BACKGROUND

Systemic inflammation is recognized as a hallmark of cancer that contributes to tumor development and progression in various malignancies. The Naples prognostic score (NPS) was established as a prognostic indicator for colorectal cancer (CRC). This study aims to examine the predictive value of the NPS for survival in CRC patients undergoing curative resection by a propensity score matching (PSM) analysis.

METHODS

A total of 533 CRC patients were enrolled in this study. Overall survival (OS) and disease-free survival (DFS) were compared between high-NPS and low-NPS groups. A time-dependent receiver operator characteristic (ROC) curve analysis was conducted to calculate the area under curve (AUC) of the NPS for OS. A multivariable Cox-proportional hazards regression analysis and PSM analysis were used to identify independent prognostic factors for OS and DFS. We compared the predictive value of the NPS to that of the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), Onodera prognostic nutritional index (PNI), and controlling nutritional status score (CONUT) for OS.

RESULTS

High-NPS was significantly associated with worse OS and DFS. After PSM, 123 patients were included in each group. A multivariate analysis revealed that Age ≥ 68, ASA-PS ≥ 3, high NPS and undifferentiated tumor type were independently associated with OS, while high NPS, advanced T and N stage were independently associated with DFS after PSM. The NPS had the greatest AUC for OS in comparison to the NLR, LMR, PNI and CONUT.

CONCLUSIONS

We successfully validated the prognostic utility of the NPS for CRC patients after curative resection.

Characteristics and clinical outcomes of acute cholangitis in older patients

PURPOSE

Few studies are available on older patients with acute cholangitis. In this study, we aimed to examine the clinical characteristics of older patients with acute cholangitis.

METHODS

Patients aged 65 years and over who were diagnosed with acute cholangitis between February 2019 and August 2022 were analyzed retrospectively. Patients eligible for the study were divided into two groups as those aged ≥ 80 years (octogenarian) and those aged 65-79 years (non-octogenarian). These two groups were then compared for many clinical characteristics. In addition, factors associated with in-hospital mortality were identified. Finally, a subgroup analysis was performed in patients with non-malignant etiology.

RESULTS

Of a total of 309 enrolled patients, 120 (38.8%) were in the octogenarian group and 189 (61.2%) were in the non-octogenarian group. The mean age was 77.2 ± 8.0 years and 51.8% were women. Severe disease and intensive care unit admission rates were higher in the octogenarian group (p = 0.035 and p = 0.002, respectively), but there was no significant difference in the rate of in-hospital mortality (p = 0.146). Malignant etiology (OR 2.990, 95% CI 1.131-7.904) and hypoalbuminemia (OR 0.824, 95% CI 0.751-0.903) were independent risk factors for in-hospital mortality. In the subgroup analysis of non-malignant etiology, the octogenarian group had a significantly higher in-hospital mortality rate than the non-octogenarian group (8.8% vs. 3.2%, p = 0.048).

CONCLUSIONS

Among older patients with acute cholangitis, clinicians should closely monitor those aged 80 years and over, as well as those with malignant etiology and hypoalbuminemia, due to their high risk of serious clinical events.

Blood biomarkers as potential malnutrition screening alternatives among adult patients with cancer on treatment in oncology unit of jimma tertiary hospital: A cross-sectional analysis

BACKGROUND

Cancer is becoming the most common global public health concern. Early malnutrition detection and treatment in patients with cancer is an important aspect of cancer management. Although Subjective global assessment (SGA) is a gold standard nutritional assessment tool, it is not routinely utilized due to it is tedious and needs patient literacy. Thus, early detection of malnutrition necessitates alternative parameters comparable with SGA. Therefore this study aims to evaluate serum albumin, Total Protein (TP), and Hemoglobin (Hgb) and their correlation with malnutrition in patients with cancer at Jimma Medical Center (JMC).

METHODS

Facility based cross-sectional study was conducted from October 15 to December 15, 2021 G.C at JMC among a total of 176 adult patients with cancer selected via a systematic sampling technique. Nutritional status and behavioural data were collected using the SGA tool and a structured questionnaire. Five ml of venous blood was collected and the level of serum albumin, TP and Hgb were measured using Cobas®6000 chemistry analyzer and hematology analyzer UniCel DxH 800. Descriptive statistics, independent t-test, Pearson's correlation coefficient (r), and logistic regression analysis were implemented for analysis.

RESULT

From the total of 176 study participants, 69.3% were females and the mean age was 50.1 ± 13.7 years. Based on SGA, 61.4% of the patients were malnourished. There was a significant decrease in the mean level of serum albumin, TP and Hgb in malnourished as compared to well-nourished patients. Serum albumin(r=-0.491), TP(r=-0.270), and Hgb (r=-0.451) had a significant correlation with SGA tool. Stage IV cancer AOR = 4.98 (1.23-20.07), Gastrointestinal (GI) cancer AOR = 3.39(1.29-8.88) and malnutrition AOR = 3.9(1.81-8.4) were significantly associated with hypoalbuminemia. Similarly, age of > 64 years AOR = 6.44(1.55-26.67), GI cancer AOR = 2.92(1.01-6.29) and malnutrition AOR = 3.14(1.43-6.94) were significantly associated with hypoproteinemia; and stage-IV cancer AOR = 3.94(1.11-13.35) and malnutrition AOR = 3.8(1.82-8.2) were significantly associated with low Hgb level.

CONCLUSION AND RECOMMENDATION

Altered level of serum albumin, TP and Hgb was correlated with the SGA tool of malnutrition. Therefore, it is suggested to be used as an alternative or additional screening tool for prompt detection of malnutrition in adult patients with cancer.

Predictors of response to anamorelin in gastrointestinal cancer patients with cachexia: a retrospective study

PURPOSE

Anamorelin, a ghrelin receptor agonist, has recently been approved for gastric, pancreatic, and colorectal cancer patients with cachexia in Japan. However, only few studies have investigated the predictors of response to anamorelin in clinical settings. Thus, our study aimed to investigate the predictors of the response, in addition to its efficacy and safety.

METHODS

The clinical outcomes of 20 patients were evaluated during administration. They were divided into two groups based on lean body mass, responders and non-responders, and their clinical characteristics were compared.

RESULTS

The mean ± standard error (SE) variations at 12 weeks in lean body mass and handgrip strength were 2.63 ± 0.79 kg and - 1.53 ± 1.20 kg, respectively. The mean ± SE variations at 8 weeks in fasting blood glucose and hemoglobin A1c were 32.88 ± 13.77 mg/dL and 0.90 ± 0.18%, respectively. Total protein, albumin, transferrin, and prognostic nutritional index at baseline were significantly higher in responders (n = 8) than in non-responders (n = 12), whereas the neutrophil/lymphocyte and C-reactive protein/albumin ratios at baseline were significantly higher in non-responders than in responders.

CONCLUSION

The study confirmed the efficacy and safety of anamorelin and identified nutritional or systemic inflammatory markers as predictors of anamorelin response in advanced gastrointestinal cancer patients.

The impact of inflammatory markers on prognosis of stage II colon cancers depends on tumour sidedness

BACKGROUNDS

Accumulating evidence has reported a high correlation between inflammatory markers and oncological outcomes in colorectal cancer. In the present study, we aimed to assess the prognostic values of five inflammatory markers in stage II colon cancer patients with different tumour locations.

METHODS

The consecutive stage II colon adenocarcinoma patients undergoing curative resection were analysed retrospectively. ROC curves and the area under the curve (AUCs) via bootstrap method were used to analyse the prognostic impact of various inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII) and prognostic nutrition index (PNI).

RESULTS

A total of 768 patients were enrolled for analysis. In univariate analysis, right-sided colon cancer (RCC) patients have significantly higher mean levels of all inflammatory markers than left-sided colon cancer (LCC) patients. In multivariate analyses, high NLR in LCC (P = 0.025) and low PNI in both RCC (P = 0.049) and LCC (P = 0.027) were significantly associated with a worse OS while none of the inflammatory markers was found to have a significant impact on DFS or CSS.

CONCLUSIONS

The profiles and prognostic impact of inflammatory markers are significantly different between stage II RCC and LCC patients. Researchers should take sidedness into consideration when addressing survival analysis of inflammatory markers.

The Systemic Inflammation Score is Associated with the Survival of Patients with Prostate Cancer

Background

The systemic inflammation score (SIS) based on the albumin (Alb) level and lymphocyte-to-monocyte ratio (LMR), has been associated with survival in some cancers. However, its prognostic role in prostate cancer (PCa) remains unclear.

Methods

The associations between the SIS and the clinicopathological features of PCa were evaluated. The correlations between the SIS and overall survival (OS) and progression-free survival (PFS) were assessed using Kaplan-Meier analysis and the Log rank test. Univariate and multivariate Cox analyses were conducted to determine the prognostic factors for PCa. Hazard ratios and 95% confidence intervals were calculated.

Results

A total of 253 patients with PCa were included in this study. The Kaplan-Meier analysis and Log rank test suggested that patients with a higher Alb level, higher LMR, or a lower SIS had better 5-year OS and PFS compared with patients with a lower Alb level or lower LMR or higher SIS. Univariate and multivariate Cox analyses showed that drinking, prostate-specific antigen level >100 ng/mL, and neutrophil-to-lymphocyte ratio >2.09 were significant prognostic factors for OS and PFS in patients with PCa. Nomograms for 5-year OS and PFS were established with concordance index values of 0.888 and 0.824, respectively. The calibration curve was consistent between the actual observations and the prediction nomogram for OS and PFS probability at 5 years.

Conclusion

A high SIS is associated with unfavorable survival in patients with PCa. The SIS serves as a novel independent prognostic factor for OS in patients with PCa.

The Prognostic Significance of HALP Index for Colon Cancer Patients in a Hispanic-Based Population

Background

Survival and recurrence rates following locoregional colon cancer surgical resection are highly variable. Currently used tools to assess patient risk are still imperfect. In the present work, we evaluate, for the first time, the prognostic value of the recently developed HALP (hemoglobin, albumin, lymphocyte, and platelet) index in Hispanic colon cancer patients. Patients and Methods. We conducted a retrospective cohort study in Mexican patients with a nonmetastatic colon cancer diagnosis who underwent surgical resection. We determined the preoperative HALP score optimal cut-off value by using the X-tile software. We plotted survival curves using the Kaplan-Meier method and performed a multivariate Cox regression analysis to explore the association of preoperative HALP score with two primary endpoints: overall survival (OS) and disease-free survival (DFS).

Results

We included 640 patients (49.8% female). The optimal HALP cut-off value was 15.0. A low HALP index was statistically significantly associated with a higher TNM stage. Low HALP score was statistically significantly associated with shorter median OS in the Kaplan-Meier analysis (73.5 vs. 84.8 months) and in the multivariate Cox regression analysis (HR = 1.942, 95% CI = 1.647-2.875). There was no significant association between the HALP score and DFS.

Conclusions

Our findings show that the HALP index is an independent factor associated with survival in Hispanic patients, despite recurrence. It seems to reflect both the anatomical extent of the disease and traditionally unaccounted nutritional and inflammatory factors that are significant for prognosis.

Tracking the Stability of Clinically Relevant Blood Plasma Proteins with Delta-S-Cys-Albumin-A Dilute-and-Shoot LC/MS-Based Marker of Specimen Exposure to Thawed Conditions

Biomolecular integrity can be compromised when blood plasma/serum (P/S) specimens are improperly handled. Compromised analytes can subsequently produce erroneous results-without any indication of having done so. We recently introduced an LC/MS-based marker of P/S exposure to thawed conditions called ΔS-Cys-Albumin which, aided by an established rate law, quantitatively tracks exposure of P/S to temperatures greater than their freezing point of -30 °C. The purposes of this study were to (1) evaluate ΔS-Cys-Albumin baseline values in gastrointestinal cancer patients and cancer-free control donors, (2) empirically assess the kinetic profiles of ΔS-Cys-Albumin at 23 °C, 4 °C, and -20 °C, and (3) empirically link ΔS-Cys-Albumin to the stability of clinically relevant proteins. ΔS-Cys-Albumin was measured at ≥ 9 different time points per exposure temperature in serum and K₂EDTA plasma samples from 24 separate donors in aliquots kept separately at 23 °C, 4 °C, and -20 °C. Twenty-one clinically relevant plasma proteins were measured at four time points per temperature via a multiplexed immunoassay on the Luminex platform. Protein stability was assessed by mixed effects models. Coordinated shifts in stability between ΔS-Cys-Albumin and the unstable proteins were documented by repeated measures and Pearson correlations. Plasma ΔS-Cys-Albumin dropped from approximately 20% to under 5% within 96 h at 23 °C, 28 days at 4 °C, and 65 days at -20 °C. On average, 22% of the 21 proteins significantly changed in apparent concentration at each exposure temperature (p < 0.0008 with >10% shift). A linear inverse relationship was found between the percentage of proteins destabilized and ΔS-Cys-Albumin (r = -0.61; p < 0.0001)-regardless of the specific time/temperature of exposure. ΔS-Cys-Albumin tracks cumulative thawed-state exposure. These results now enable ΔS-Cys-Albumin to approximate the percentage of clinically relevant proteins that have been compromised by incidental plasma exposure to thawed-state conditions.

Correlation between the Immune Checkpoint Inhibitors Prognostic Index and Outcomes in Nonsmall Cell Lung Cancer: A Multicentre Analysis

Objective

To evaluate the prognostic value of the immune checkpoint inhibitor prognostic index (ICPI), based on the albumin (ALB) and derived neutrophil-to-lymphocyte ratio (dNLR), for nonsmall cell lung cancer (NSCLC) patients receiving immune checkpoint inhibitors (ICIs).

Methods

We conducted a multicentre retrospective study with an ICIs cohort (n = 143) and a chemotherapy control cohort (n = 84). A Cox proportional hazards regression and logistic regression model were used to find the independent risk factor for progression-free survival (PFS) and overall survival (OS) and disease control rate (DCR) in NSCLC patients. The Kaplan–Meier was used to evaluating the PFS and OS.

Results

The ALB <35 g/L and dNLR >3 were correlated with worse PFS and OS for NSCLC patients receiving ICIs, respectively. The moderately high-risk ICPI had a significantly increased risk of progression (hazard ratio (HR) 1.83, 95% confidence interval (CI) 1.14–2.91; P=0.012) and of death (HR 2.33, 95% CI 1.12–4.87; P=0.024) and of nondisease control (odds ratio (OR) 3.05, 95% CI 1.19–7.83; P=0.021) and was correlated with worse PFS and 1-year survival rates (4.0 months vs. 7.2 months; P=0.001; 44.3% vs. 76.1%; P=0.001) compared with low-risk ICPI when it was characterized two groups. When ICPI was further divided into three groups, the results showed that the high-risk ICPI was correlated with worse PFS and 1-year survival rates. However, there was no difference in the chemotherapy cohort.

Conclusion

The ICPI was correlated with worse outcomes for NSCLC patients receiving ICIs but not for patients with chemotherapy.

Comprehensive comparison of the prognostic value of systemic inflammation biomarkers for cancer cachexia: a multicenter prospective study

AIMS

Systemic inflammation plays an important role in cancer cachexia. However, among the systemic inflammatory biomarkers, it is unclear which has optimal prognostic value for cancer cachexia.

METHODS

The Kaplan-Meier method was used and the log-rank analysis was performed to estimate survival differences between groups. Cox proportional hazard regression analyses were conducted to assess independent risk factors for all-cause mortality.

RESULTS

The C-reactive protein-to-albumin ratio (CAR) was the optimal prognostic assessment tool for patients with cancer cachexia, with 1-, 3-, and 5-year predictive powers of 0.650, 0.658, and 0.605, respectively. Patients with a high CAR had significantly lower survival rates than those with a low CAR. Moreover, CAR can differentiate the prognoses of patients with the same pathological stage. Cox proportional risk regression analyses showed that a high CAR was an independent risk factor for cancer cachexia. For every standard deviation increase in CAR, the risk of poor prognosis for patients with cancer cachexia was increased by 20% (hazard ratio = 1.200, 95% confidence interval = 1.132-1.273, P < 0.001).

CONCLUSIONS

CAR is an effective representative of systemic inflammation and a powerful factor for predicting the life function and clinical outcome of patients with cancer cachexia.

A comprehensive analysis of Glasgow Prognostic Score (GPS)/the modified Glasgow Prognostic Score (mGPS) on immune checkpoint inhibitor efficacy among patients with advanced cancer

BACKGROUND

The association between Glasgow Prognostic Score (GPS) and the modified Glasgow Prognostic Score (mGPS) and clinical outcomes in patients receiving immune checkpoint inhibitors (ICIs) remains controversial. Thus, this meta-analysis aimed to examine the prognostic performance of GPS and mGPS in patients treated with ICIs.

METHODS

Eligible studies were retrieved from searches of EMBASE, PubMed, Web of Science, and Cochrane Library until July 2021. The hazard ratio (HR) and 95% confidence intervals (CIs) were pooled by using fixed-effect or random-effects model to evaluate the influence of GPS/mGPS on overall survival (OS) and progression-free survival (PFS).

RESULTS

A total of 1164 patients were included. Overall, mGPS score of 2 and 1 were related to inferior OS (p < 0.001) and PFS (p < 0.001). Subgroup analyses showed no significant association between mGPS score of 1 and OS in patients with non-small cell lung cancer (NSCLC), while this score was significantly associated with poor PFS in patients with NSCLC and head and neck squamous cell carcinoma. Higher GPS (score of 1 or 2) were associated with poor clinical outcomes (OS: p < 0.001; PFS: p = 0.036). Subgroup analysis showed high GPS levels were linked to worse OS in patients with NSCLC and gastric cancer, but not for PFS in these patients. Regarding test time point, GPS was related to worse OS and PFS in pre-treatment GPS group, but not in post-treatment GPS group.

CONCLUSION

GPS and mGPS showed great potential to predict survival in patients treated with ICIs. Large and perspective trial are warranted to further validate these findings.

Long-Term Outcomes and Safety Trends of Autologous Stem-Cell Transplantation in Non-Hodgkin Lymphoma: A Report From A Tertiary Care Center in India

Published experience with autologous stem-cell transplantation (ASCT) in non-Hodgkin lymphoma (NHL) from the Indian subcontinent is extremely limited. Here, we describe the activity and outcomes of this treatment modality at a large tertiary care center in India.

Pretreatment inflammatory markers predicting treatment outcomes in colorectal cancer

We aimed to review whether pretreatment inflammatory markers reflect the short- and long-term outcomes of patients with colon cancer, rectal cancer, colon and rectal cancers, and metastatic colorectal cancer (CRC). We found that pretreatment complete blood count and blood chemistry tests reflect short-term and long-term oncological outcomes in patients with CRC. Specifically, in patients with colon cancer, hypoalbuminemia was associated with worse postoperative morbidity, mortality, and inferior survival. In patients with rectal cancer, elevated neutrophil-lymphocyte ratio (NLR) and thrombocytosis were associated with postoperative complications, poor overall survival (OS), and disease-free survival (DFS). A high C-reactive protein/albumin ratio (CAR) was associated with poor OS and DFS. In patients with metastatic CRC, increased NLR and platelet-lymphocyte ratio (PLR) were associated with poor OS, DFS, and progression-free survival (PFS). In addition, high CAR and a low albumin/globulin ratio on blood chemistry tests were associated with poor OS and PFS. Although universal cut-off values were not available, various types of pretreatment laboratory markers could be utilized as adjuncts to predict prognosis in patients with CRC.

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.

Pretherapeutic Serum Albumin as an Outcome Prognosticator in Head and Neck Adenoid-Cystic Carcinoma

Background: A head and neck adenoid-cystic carcinoma is a rare malignant tumor arising from the salivary gland tissues. The long-term survival outcome is poor due to a high risk of recurrences and distant metastasis. The identification of prognostic markers could contribute to a better risk assessment of each patient. The aim of this study is to assess the potential prognostic value of serum albumin in patients with head and neck adenoid-cystic carcinomas. Patients and Methods: This retrospective cohort study included all patients treated for a head and neck adenoid-cystic carcinoma between 1993 and 1 June 2019 with available pretherapeutic albumin values and clinical follow-up data. The cohort was stratified into a high and low group according to the median albumin value. The log-rank test was used for comparing overall and disease-free survival. Results: A total of 37 patients with complete follow-up data and available pretreatment albumin values were available. The overall mortality and recurrence rates were 21.6% (n = 8) and 45.9% (n = 17), respectively. Survival was shorter in the low albumin group. In particular, the mean overall survival for the low and high albumin groups were 121.0 months and 142.8 months, respectively. However, the difference was not statistically significant (p = 0.155). A statistically significant difference was observed in context with disease-free survival (45.2 months, 95% confidence interval 31.7–58.8 months vs. 114.8 months, 95% confidence interval 79.3–150.4 months; p = 0.029). Conclusion: Our study suggests a potential prognostic value of serum albumin in patients with a head and neck ACC. A further, external validation of our results is warranted.

Prognostic Implication of Preoperative Serum Albumin to Carcinoembryonic Antigen Ratio in Colorectal Cancer Patients

Background: Preoperative serum albumin (ALB) and carcinoembryonic antigen (CEA) were useful prognostic factors in colorectal cancer (CRC); however, the ALB to CEA ratio (ACR) and their individual prognostic efficacies have been less studied. Methods: A retrospective study with 156 CRC patients staged I to IV was performed. The prognostic efficacy of ACR was estimated and subsequently compared with ALB, CEA, and other systemic inflammation markers, including the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR). Differences in progression-free survival (PFS) and overall survival (OS) were determined by Kaplan–Meier (K-M) analysis, and the risk factors for survival were calculated by the Cox proportional hazards model. Results: A total of 31.41% (49 of 156) of patients presented with ACR-low disease, and these patients had tumors with advanced T stages, larger tumor diameters and distant metastases, and a lower LMR. When 5.98 was used as the cut-off point, it had a sensitivity of 58.50% and 61.50% and a specificity of 83.50% and 80.50% for PFS and OS, respectively. ACR displayed a superior prognostic efficacy than individual ALB, CEA and NLR, LMR, and PLR for both PFS and OS (except LMR). Patients in the ACR-low group displayed significantly worse PFS and OS than those in the ACR-high group. Finally, ACR was an independent prognostic factor for both PFS (HR = 0.31, 95% CI: 0.17−0.56, P < .01) and OS (HR = 0.33, 95% CI: 0.16−0.66, P < .01). Conclusions: ACR was a robust prognostic factor in CRC, and patients with a relatively low preoperative ACR would have significantly worse survival.

Decrement of prognostic nutrition index in laryngeal diseases: from precancerous lesion to squamous cell carcinoma

BACKGROUND

Malnutrition and systemic inflammatory response have been confirmed to be important risk factors for various cancers.

OBJECTIVE

To compare pretreatment prognostic nutrition index (PNI) among patients with laryngeal squamous cell carcinoma (LSCC), laryngeal precancerous lesion (LPL) and laryngeal benign lesion (LBL).

METHODS

A total of 253 male patients with laryngeal lesions were divided into LBL, LPL with low risk (LPL (l)), LPL with high risk (LPL(h)), LSCC (i), LSCC (ii) and LSCC (iii) groups according to their histopathological findings and the TNM staging system. PNI and other clinical parameters were calculated. Kruskal-Wallis, Mann-Whitney U or Chi-square or Fisher's exact test were used for comparison of different parameters among groups. Logistic regression was performed to estimate the odds ratios (OR) and the corresponding 95% confidence intervals (CI).

RESULTS

The PNI in the LSCC group was significantly lower than those of the LBL and LPL groups (p = .013 and p = .004, respectively), and decreased from LPL(l) to LSCC (iii) (from 53.97 ± 3.69 to 50.02 ± 4.75). LPL patients with lower PNI values had a higher risk of LSCC, the OR was 0.91 (95% CI: 0.84, 0.97) for a one-unit decrease.

CONCLUSIONS

PNI could be a simple and reproducible marker for predicting the severity of laryngeal diseases.

Role of Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio in Predicting the Response to First Line Chemotherapy in Colorectal Cancer Patients with Synchronous Liver Metastases: A Retrospective Study

Background: There is some evidence that showed that the high level of neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) is associated with poor survival in several malignancies including colorectal cancer (CRC); however data on the significance of these markers to predict response to systemic therapy is limited. Objectives: The aim of this study was to assess the role of pretreatment NLR and PLR in predicting response to first line chemotherapy in CRC patients with synchronous metastases. Methods: Clinical records of 81 CRC patients with synchronous liver metastases, who underwent upfront chemotherapy, were included in this retrospective study. The optimal cut of value for NLR and PLR was determined according to receiver operating characteristic (ROC) curve analysis. Correlation between response to chemotherapy and NLR or PLR was evaluated. Results: The optimal cut off for NLR and PLR was 2.666 and 182.589, respectively. Patients with low NLR had significantly higher objective response (complete response + partial response) compared to patients with high NLR (54.3% versus 13%, respectively, P: < 0.001). In patients with low PLR, 41.2% had objective response compared to 13.3% of patients with high PLR (P = 0.012). The univariate analysis determined that, both NLR and PLR are significantly associated with better objective response, but in multivariate analysis, only NLR was identified as an independent predictive marker of response [odds ratio = 4.55; P = 0.013]. Conclusions: Results of this study indicate that, measuring NLR might provide us an inexpensive method to predict response to first-line chemotherapy in CRC patients with synchronous liver metastases.

Decreased albumin-to-alkaline phosphatase ratio predicted poor survival of resectable gastric cancer patients

Background

The albumin-to-alkaline phosphatase ratio (AAPR) is an innovative prognostic index for various cancer patients, the clinical significance of the AAPR in patients with GC is unknown.

Methods

We retrospectively reviewed 227 resectable GC patients in our center. The Kaplan-Meier method and the Cox proportional hazards model were used to analyze the disease-free survival (DFS) and overall survival (OS). The Likelihood Ratio Test (LRT) and Akaike information criterion (AIC) were used to compare the prognostic abilities of the TNM and AAPR-TNM staging systems in DFS and OS prediction.

Results

The AAPR was significantly decreased in GC patients, and the optimal cut-off value for resectable and benign gastric disease was 0.437 as determined by the receiver operating characteristic (ROC) curve. The correlation analysis revealed that decreased AAPR in GC was associated with T stage (P=0.004) and TNM stage (P=0.013). Decreased preoperative AAPR correlated with both unfavorable disease-free survival (DFS) and overall survival (OS). Cox regression analysis showed that the TNM stage (DFS: P=0.001, OS: P=0.002) and differential levels of AAPR (DFS: P<0.001, OS: P<0.001) were independent risk factors of DFS and OS. ROC analysis showed that the AAPR-TNM system was more superior than the TNM staging system for DFS (z=1.91, P=0.028) and OS (z=1.937, P=0.026) prediction. The likelihood ratio test (LRT) analysis indicated that the AAPR-TNM system had a significantly larger χ² for both DFS (35.58 vs. 34.51, P<0.001) and OS (32.92 vs. 30.07, P<0.001), and a lower Akaike information criterion (AIC) value both for DFS (1,032 vs. 1,065, P<0.001) and OS (869 vs. 898, P<0.001) compared to the TNM system.

Conclusions

The AAPR level significantly decreased in patients with GC, and impacted the prognosis of patients.

Influence of albumin and physical activity on postoperative recovery in patients with colorectal cancer: An observational study

PURPOSE

The study explores the influences of nutrition-related factors (albumin, hemoglobin, and obesity) and lifestyles (physical activity, fruit and vegetable intake, smoking, and drinking) on the length of hospital stay in postoperative colorectal cancer patients.

METHODS

This study is a cross-sectional design. A convenience sample of 106 preoperative colorectal cancer patients was recruited from a medical center in Taiwan. Data were collected using self-reported questionnaires and from patients' medical records.

RESULTS

The median length of hospital stay was ten days with an interquartile range (IQR) of 8-11.25 days. The results of the log-link Gamma generalized linear model showed that albumin (B = -0.16, p = 0.007) and physical activity (B = -0.14, p = 0.001) were significant predictors of the length of hospital stay after controlling for demographics and disease characteristics. The influences of anemia, obesity, fruit and vegetable intake, smoking, and drinking on the length of hospital stay were insignificant.

CONCLUSIONS

Patients with hypoalbuminemia and a low level of physical activity undergo a more extended postoperative hospital stay. The study findings inform clinicians of the influencing factor of the patients' recovery and provide a foundation for developing interventions to decrease hospital stay length.

Reduced serum albumin as a risk factor for poor prognosis in critically ill patients receiving renal replacement therapy

Background

Albumin is the primary body protein, which can predict the poor prognosis of several critical diseases. However, there are a few scientific studies on the relationship between albumin and the prognosis of dialysis patients. This study aims to explore the impact of hypoalbuminemia on the prognosis of critically ill patients with acute kidney injury (AKI) receiving continuous renal replacement therapy (CRRT).

Methods

This was a secondary study. Clinical, biochemical, and 28-day and 90-day mortality rates for critical patients with AKI who received CRRT between 2009 and 2016 were searched from the database to determine the effect of hypoalbuminemia on poor outcomes by univariate, multivariate, smooth curve fitting, and subgroup analysis.

Results

A total of 837 participants were enrolled in this study. Multivariate Cox proportional hazard regression analysis showed that hypoalbuminemia was associated with both 28-day and 90-day mortality risks after full adjustment for confounding variables, with an adjusted hazard ratio (95% confidence interval) of 0.63 (0.50–0.80) and 0.63 (0.51–0.78), respectively for each 1 g/dL increase of albumin. Stratified analysis showed that hypoalbuminemia was not associated with poor prognosis in oliguria.

Conclusion

Hypoalbuminemia is associated with poor prognosis in critically ill AKI patients with CRRT; therefore, measuring albumin may be helpful for predicting the prognosis. However, in those with oliguria, this conclusion is not valid.

A Nutrition and Inflammation-Related Nomogram to Predict Overall Survival in Surgically Resected Esophageal Squamous Cell Carcinoma (ESCC) Patients

Pretreatment inflammation-based biomarkers and the prognostic nutrition index (PNI) have been used to evaluate prognosis in cancer patients. However, few studies have focused on the prognostic value of post-treatment inflammation-based biomarkers and PNI in ESCC patients. We aimed to investigate the values of pre/post-treatment inflammatory parameters and PNI for establishing a nomogram to predict overall survival (OS) in ESCC patients. A retrospective review was performed on 268 ESCC patients with esophagectomy. The prognostic values of inflammatory and nutrition indexes were evaluated. Based on the results of multivariable Cox analysis, a nomogram was developed. The predictive accuracy and discriminative ability of the nomogram were determined using the concordance-index (C-index) and a calibration curve and subsequently compared to tumor-node-metastasis (TNM) staging by C-index, receiver operating characteristic (ROC) and decision curve analysis (DCA). PreSII, PostSII, PrePNI, N stage, and TNM classification were assembled into a nomogram. The C-index of the nomogram was 0.774, and the area under curve (AUC) of the nomogram was 0.862. DCA demonstrated that the established nomogram was a better predictive model compared to the TNM system. The developed nomogram with superior predictive ability provides more valuable prognostic information for patients and clinicians than TNM classification.

Machine Learning-based Model for Predicting Postoperative Complications among Patients with Colonic Perforation: A Retrospective study

Objectives:

Surgery for colonic perforation has high morbidity and mortality rates. Predicting complications preoperatively would help improve short-term outcomes; however, no predictive risk stratification model exists to date. Therefore, the current study aimed to determine risk factors for complications after colonic perforation surgery and use machine learning to construct a predictive model.

Methods:

This retrospective study included 51 patients who underwent emergency surgery for colorectal perforation. We investigated the connection between overall complications and several preoperative indicators, such as lactate and the Glasgow Prognostic Score. Moreover, we used the classification and regression tree (CART), a machine-learning method, to establish an optimal prediction model for complications.

Results:

Overall complications occurred in 32 patients (62.7%). Multivariate logistic regression analysis identified high lactate levels [odds ratio (OR), 1.86; 95% confidence interval (CI), 1.07-3.22; p = 0.027] and hypoalbuminemia (OR, 2.56; 95% CI, 1.06-6.25; p = 0.036) as predictors of overall complications. According to the CART analysis, the albumin level was the most important parameter, followed by the lactate level. This prediction model had an area under the curve (AUC) of 0.830.

Conclusions:

Our results determined that both preoperative albumin and lactate levels were valuable predictors of postoperative complications among patients who underwent colonic perforation surgery. The CART analysis determined optimal cutoff levels with high AUC values to predict complications, making both indicators clinically easier to use for decision making.

Cumulative C-reactive Protein in the Perioperative Period as a Novel Marker for Oncological Outcome in Patients with Colorectal Cancer Undergoing Curative Resection

Objectives:

Systemic inflammatory response is strongly associated with poor oncological outcome in colorectal cancer (CRC). Perioperative inflammation caused by surgical stress can lead to the development of postoperative infectious complications (PIC) as well as cancer-related inflammation. We aimed to evaluate the prognostic potential of perioperative systemic inflammation by calculating the time-dependent cumulative C-reactive protein (CRP) levels during the perioperative period.

Methods:

We analyzed clinicopathological data from 540 patients with CRC who underwent potentially curative surgery at our institution. The time-dependent aggregated CRP level was denoted “cumulative CRP,” which represents the area under the line of time (days) and the CRP levels preoperatively and on postoperative days 1, 3, and 7.

Results:

Cumulative CRP was significantly higher in patients with CRC undergoing open surgery than in patients undergoing laparoscopic surgery. In multivariate analysis, high cumulative CRP was an independent prognostic factor for disease-free survival (DFS) and overall survival (OS) in both the laparoscopic and open surgery groups. Patients with CRC and high cumulative CRP had significantly poorer DFS and OS than those with low cumulative CRP, including those patients without PIC.

Conclusions:

Cumulative CRP is an independent predictive marker of OS and DFS in patients with CRC who undergo curative surgery.

Establishment and Validation of Nomogram Based on Combination of Pretreatment C-Reactive Protein/Albumin Ratio-EBV DNA Grade in Nasopharyngeal Carcinoma Patients Who Received Concurrent Chemoradiotherapy

Background

A higher ratio of pretreatment C-reactive protein/albumin ratio (CAR) is associated with poor prognosis in nasopharyngeal carcinoma (NPC), and Epstein–Barr virus (EBV) DNA level is known to not only participate in the occurrence of nasopharyngeal carcinoma but also affect the development and prognosis of the disease. Herein, we proposed that a combination of both these markers could improve the predictive prognostic ability.

Methods

In all, 842 NPC patients who received concurrent chemoradiotherapy (CCRT) were entered in this study. We collected all patients’ blood samples and EBV DNA copy numbers within one week before any treatment. Receiver operating characteristic (ROC) curve was used to determine the optimal cut-off. We employed the Kaplan–Meier method for survival analyses and the univariate and multivariate analyses (Cox proportional hazards regression model) for statistical analysis. A nomogram was constructed based on multivariate analyses results of the validation set. The model was internally validated using 1000 bootstrap samples to avoid overfitting. Another validation of 10-fold cross-validation was also applied. Calibration curves and concordance index (C-index) were calculated to determine predictive and discriminatory capacity.

Results

In the whole cohort, we observed that higher CAR, EBV DNA level, and CAR-EBV DNA (C-E) grade were associated with shorter overall survival (OS) and distant metastasis-free survival (DMFS) (all P<0.05). In univariate and multivariate analyses, C-E grade was an independent prognostic factor (all P<0.05). In the training set, we gained the similar results with the whole set. According to multivariate analyses of the training set, we constructed a nomogram. The results of bootstrap samples and 10-fold cross-validation showed favorable predictive efficacy. And calibration curves of the model provided credibility to its predictive capability.

Conclusion

C-E grade was confirmed as an independent prognostic predictor in patients with NPC who received CCRT. Higher level of pretreatment C-E grade could signify a higher risk of metastasis and shorter OS. The prognostic nomogram based on C-E grade was dependable in nasopharyngeal carcinoma patients.

Exploring polyps to colon carcinoma voyage: can blocking the crossroad halt the sequence?

Colorectal cancer is an important public health concern leading to significant cancer associate mortality. A vast majority of colon cancer arises from polyp which later follows adenoma, adenocarcinoma, and carcinoma sequence. This whole process takes several years to complete and recent genomic and proteomic technologies are identifying several targets involved in each step of polyp to carcinoma transformation in a large number of studies. Current text presents interaction network of targets involved in polyp to carcinoma transformation. In addition, important targets involved in each step according to network biological parameters are also presented. The functional overrepresentation analysis of each step targets and common top biological processes and pathways involved in carcinoma indicate several insights about this whole mechanism. Interaction networks indicate TP53, AKT1, GAPDH, INS, EGFR, and ALB as the most important targets commonly involved in polyp to carcinoma sequence. Though several important pathways are known to be involved in CRC, the central common involvement of PI3K-AKT indicates its potential for devising CRC management strategies. The common and central targets and pathways involved in polyp to carcinoma progression can shed light on its mechanism and potential management strategies. The data-driven approach aims to add valuable inputs to the mechanism of the years-long polyp-carcinoma sequence.

Hypothesis of using albumin to improve drug efficacy in cancers accompanied by hypoalbuminemia

A common problem in many cancers is the resistance of some patients to common drugs or relapse. Hypoalbuminemia has been reported in some of resistant cancer patients.This article evaluates the usefulness of albumin in the treatment of drug-resistant cancers with hypoalbuminemia based on available evidences.Rapid metabolism and drug excretion from the body is one of the causes of drug resistance. Albumin is the major plasma protein to which almost all drugs are bound. There is some evidence that increasing drug binding to albumin has beneficial effects on drug efficacy in some cancers and cancer cells. On the other hand, some reports have shown that cancer cells can use albumin as the energy and amino acid source.We have hypothesized that in this particular group of cancers, adding albumin to a treatment regimen could have a beneficial effect on drug efficacy and dosage. In fact, excess albumin can prevent rapid metabolism of drug by increasing the fraction of albumin-bound drug, and can increase drug delivery to cancer cells due to the absorption of drug-albumin complex by cancer cells.