The association and diagnostic value of red blood cell distribution width in colorectal cancer

Predictive value of red blood cell distribution width and hematocrit for short-term outcomes and prognosis in colorectal cancer patients undergoing radical surgery

BACKGROUND

Previous studies have reported that low hematocrit levels indicate poor survival in patients with ovarian cancer and cervical cancer, the prognostic value of hematocrit for colorectal cancer (CRC) patients has not been determined. The prognostic value of red blood cell distribution width (RDW) for CRC patients was controversial.

AIM

To investigate the impact of RDW and hematocrit on the short-term outcomes and long-term prognosis of CRC patients who underwent radical surgery.

METHODS

Patients who were diagnosed with CRC and underwent radical CRC resection between January 2011 and January 2020 at a single clinical center were included. The short-term outcomes, overall survival (OS) and disease-free survival (DFS) were compared among the different groups. Cox analysis was also conducted to identify independent risk factors for OS and DFS.

RESULTS

There were 4258 CRC patients who underwent radical surgery included in our study. A total of 1573 patients were in the lower RDW group and 2685 patients were in the higher RDW group. There were 2166 and 2092 patients in the higher hematocrit group and lower hematocrit group, respectively. Patients in the higher RDW group had more intraoperative blood loss (P < 0.01) and more overall complications (P < 0.01) than did those in the lower RDW group. Similarly, patients in the lower hematocrit group had more intraoperative blood loss (P = 0.012), longer hospital stay (P = 0.016) and overall complications (P < 0.01) than did those in the higher hematocrit group. The higher RDW group had a worse OS and DFS than did the lower RDW group for tumor node metastasis (TNM) stage I (OS, P < 0.05; DFS, P = 0.001) and stage II (OS, P = 0.004; DFS, P = 0.01) than the lower RDW group; the lower hematocrit group had worse OS and DFS for TNM stage II (OS, P < 0.05; DFS, P = 0.001) and stage III (OS, P = 0.001; DFS, P = 0.001) than did the higher hematocrit group. Preoperative hematocrit was an independent risk factor for OS [P = 0.017, hazard ratio (HR) = 1.256, 95% confidence interval (CI): 1.041-1.515] and DFS (P = 0.035, HR = 1.194, 95%CI: 1.013-1.408).

CONCLUSION

A higher preoperative RDW and lower hematocrit were associated with more postoperative complications. However, only hematocrit was an independent risk factor for OS and DFS in CRC patients who underwent radical surgery, while RDW was not.

The combined detection of hematological indicators is used for the differential diagnosis of colorectal cancer and benign-colorectal lesions

OBJECTIVE

This article aims to investigate the clinical value of hemoglobin/red cell distribution width ratio (Hb/RDW), C-reactive protein/albumin ratio (CAR) and plateletcrit (PCT) combined with carcinoembryonic antigen (CEA) in colorectal cancer (CRC) auxiliary diagnosis.

METHODS

We retrospectively analyzed in 718 subjects (212 with CRC, 209 with benign colorectal lesions (BCL), 111 with other cancers, and 186 healthy controls).

RESULTS

The CAR, PCT, and CEA in the CRC group were higher than those in the BCL, other cancers, and the healthy control group. However, Hb/RDW in the CRC group was lower than the other three groups. Moreover, there were significant differences in Hb/RDW and CEA among different T-N-M stages (all P< 0.05). Multivariate logistic regression showed that low level of Hb/RDW and high level of CAR, CEA, PCT were risk factors for CRC, and are correlated with CRC stage. Additionally, the area under the receiver operating characteristic curve (AUC) of Hb/RDW+CEA (AUC: 0.735), CAR+CEA (AUC: 0.748), PCT+CEA (AUC: 0.807) was larger than that of Hb/RDW (AUC: 0.503), CAR (AUC: 0.614), or PCT (AUC: 0.713) alone (all P< 0.001) in distinguishing CRC from BCL.

CONCLUSIONS

Hb/RDW, CAR, PCT, and CEA are independent risk factors for CRC. Hb/RDW, CAR, and PCT combined with CEA have significant value for auxiliary differential diagnosis of CRC and BCL.

Aldehyde dehydrogenase 2 gene rs671 G>A polymorphism is associated with an increased risk of digestive tract cancer

OBJECTIVE

Acetaldehyde can accumulate in cells and form acetaldehyde-DNA adducts that result in digestive tract cancer development. Acetaldehyde dehydrogenase 2 (ALDH2) enzymatic activity is involved in this process. Here, we aimed to analyze the relationship between an ALDH2 gene polymorphism and the digestive tract cancer risk in the Hakka population in China.

METHODS

This was a retrospective study, with the ALDH2 rs671 genotype and medical record information collected from all subjects. The relationships between these factors, including various blood cell parameters, and digestive tract cancer susceptibility were analyzed.

RESULTS

Overall, 307 cancer patients and 317 controls were included. The cancer patients had significantly higher percentages with a history of smoking and drinking alcohol, as well as an increased platelet to lymphocyte ratio and lower lymphocyte to monocyte ratio, compared with the controls. The ALDH2 rs671 genotype and allele distributions were significantly different between the cancer patients and controls. Logistic regression analysis showed that the ALDH2 G/A genotype (G/A vs. G/G) and A/A genotype (A/A vs. G/G) in the co-dominant mode were risk factors for digestive tract cancer susceptibility.

CONCLUSIONS

ALDH2 rs671 G/A or A/A genotype carriers may have an increased risk of developing digestive tract cancers among the Hakka people.

Impact of Patient Comorbidities on Presentation Stage of Breast and Colon Cancers

BACKGROUND

While patients with multiple comorbidities may have frequent contact with medical providers, it is unclear whether their healthcare visits translate into earlier detection of cancers, specifically breast and colon cancers.

METHODS

Patients diagnosed with stage I-IV breast ductal carcinoma and colon adenocarcinoma were identified from the National Cancer Database and stratified by comorbidity burden, dichotomized as a Charlson Comorbidity Index (CCI) Score of <2 or ≥2. Characteristics associated with comorbidities were analyzed by univariate and multivariate logistic regression. Propensity-score matching was performed to determine the impact of CCI on stage at cancer diagnosis, dichotomized as early (I-II) or late (III-IV).

RESULTS

A total of 672,032 patients with colon adenocarcinoma and 2,132,889 with breast ductal carcinoma were included. Patients with colon adenocarcinoma who had a CCI ≥ 2 (11%, n = 72,620) were more likely to be diagnosed with early-stage disease (53% vs. 47%; odds ratio [OR] 1.02, p = 0.017), and this finding persisted after propensity matching (CCI ≥ 2 55% vs. CCI < 2 53%, p < 0.001). Patients with breast ductal carcinoma who had a CCI ≥ 2 (4%, n = 85,069) were more likely to be diagnosed with late-stage disease (15% vs. 12%; OR 1.35, p < 0.001). This finding also persisted after propensity matching (CCI ≥ 2 14% vs. CCI < 2 10%, p < 0.001).

CONCLUSIONS

Patients with more comorbidities are more likely to present with early-stage colon cancers but late-stage breast cancers. This finding may reflect differences in practice patterns for routine screening in these patients. Providers should continue guideline directed screenings to detect cancers at an earlier stage and optimize outcomes.

Colorectal Cancer (CRC): Investigating the Expression of the Suppressor of Fused (SuFu) Gene and Its Relationship with Several Inflammatory Blood-Based Biomarkers

BACKGROUND

Suppressor of fused (SuFu) is a tumor-suppressor gene that regulates hedgehog signaling. Its involvement in some malignancies is broadly accepted. However, its association with colorectal cancer (CRC) pathogenesis is not clear. Likewise, no study has clearly associated blood-based inflammatory biomarkers with cancer diagnosis/prognosis as yet.

AIM

Our goal was to look at SuFu expression levels in CRC patients and its relationship with other clinicopathological factors. Additionally, we looked into the function of a few blood-based biomarkers in CRC and whether or not a combined strategy at the genetic and clinical levels can be applied in CRC.

METHODS

The investigation included 98 histopathologically confirmed CRC samples and adjacent normal tissues (controls). A colonoscopy was followed by a targeted biopsy for each suspected colon cancer patient. A CT scan and MRI were also performed on every patient with rectal cancer. Real-time polymerase chain reaction and immunohistochemistry (IHC) were used for assessment. A Beckman Coulter DxH900 was used to examine blood parameters. A Beckman Coulter DxI800 was used to identify pretreatment carcinoma embryonic antigens (CEA) and carbohydrate antigens (CA 19-9) in CRC patients.

RESULTS

The expression of SuFu was associated with gender, education, passive smoking, tumor grade, perineural invasion (PNI), lymph node metastasis (LNM), node status, stage, vital status, and recurrence (p < 0.05). In the combined analysis, the areas under the curve produced by the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and red cell distribution width (RDW) were the greatest (AUC_RDW+PLR+NLR = 0.91, 95% CI: 0.86-0.93, p < 0.05). Furthermore, the most severe pathological features were linked to RDW, PLR, NLR, and HPR. SuFu expression, node status, LNM, PNI, and stage all had significant correlations with OS and DFS rates in IHC-based univariate survival analysis (p < 0.05). According to the Cox regression, CA-19.9 had a strong independent predictive link with 3-year DFS (p < 0.05).

CONCLUSION

In CRC, SuFu was downregulated both transcriptionally and translationally, was primarily nucleo-cytoplasmic, and was expressed less in high-grade tumors. In addition, SuFu was linked to a poor overall and disease-free survival rate. It may be possible to use SuFu as a therapeutic target for CRC in the future. However, SuFu expression had no effect on RDW, PLR, NLR, or HPR serum levels.

Role of red cell dstribution width in colorectal cancer diagnosis and prognosis

Objective: We aimed to assess whether red cell distribution width (RDW) was associated with pre-operative clinical features or post-operative clinicopathological outcomes in patients with colorectal cancer (CRC), and to determine the utility of RDW as a diagnostic or prognostic marker of CRC. Material and Method: This retrospective cohort study was conducted between January 2018 and May 2021 at a university hospital in Turkey. A total of 188 patients histologically diagnosed with CRC who had undergone surgery were included in the study. Results: Our study included 118 (62.77%) male patients, and the mean age of the patients was 66.28±11.71 years. We found that RDW values were significantly higher in females compared to males (p=0.033), in patients with T3 or T4 tumors compared to those with T1 or T2 tumors (p

Diagnostic accuracy of red blood cell distribution width for neonatal sepsis

INTRODUCTION

Red blood cell distribution width (RDW) is a biomarker for the diagnosis and prognosis of many diseases. However, the relevance between RDW and neonatal sepsis (NS) have not reached a consensus yet; the perform of RDW in the diagnosis of neonatal sepsis is still not clear. The aim of this meta-analysis was to estimate the significance of RDW in neonatal sepsis and the perform of RDW in diagnosis of neonatal sepsis.

EVIDENCE ACQUISITION

We used Pubmed, Embase, Web of science, CNKI and Google academic database to find all articles that met the inclusion criteria until July 1, 2020.

EVIDENCE SYNTHESIS

Fifteen eligible studies involving 1362 newborns were included in the meta-analysis after two independent investigators read the title, abstract and full text in detail. The pooled result of this meta-analysis showed that RDW was significantly higher in the NS group than in the control group (WMD=3.224; 95%CI: 2.359-4.090, P<0.001). In addition, the overall pooled sensitivity, specificity, PLR, NLR and DOR were 0.88 (95%CI:0.66-0.96), 0.90 (95%CI:0.65-0.98), 9.2 (95%CI:2.1-40.3), 0.14(95%CI:0.04-0.43) and 66.9 (95%CI:8.73-513.26), respectively. The area under the SROC curve (AUC) was 0.95 (95%CI:0.93-0.96).

CONCLUSIONS

The meta-analysis demonstrated that newborns with sepsis had an elevated RDW level than healthy controls. RDW levels have significant correlated with neonatal sepsis; and RDW can be used as a cheap and satisfactory diagnostic biomarker for neonatal sepsis with a relatively high performance.

Clinical Utility of Red Blood Cell Distribution Width for the Diagnosis and Prognosis of Cervical Cancer

Background

The width of red blood cell distribution (RDW) is correlated with some diseases, but its clinical value and prognostic role in cervical cancer is unclear.

Methods

We used receiver operating characteristic curves to evaluate the diagnostic ability of RDW and other clinical parameters in cervical cancer based on a case–control design. Using retrospective data, we explored the correlation of RDW with overall (OS) and progression-free (PFS) survival using Kaplan–Meier analysis and univariate and multivariate Cox regression with the hazard ratio (HR) and 95% confidence interval (CI). A restricted cubic plot was used to evaluate the nonlinear association between RDW and prognosis risk.

Results

RDW was significantly higher in cases than in controls (14.6±1.7 vs 12.5±1.8, P<0.001). It showed high diagnostic accuracy for cervical cancer, with a sensitivity of 79.3%, specificity of 65.6%, and area under the curve of 0.802 (95% CI, 0.775–0.827) with a cutoff value of 13.88. There was a significant positive correlation between RDW and C-reactive protein (r=0.434, P=0.023). Multivariate Cox regression indicated that it was independently associated with a poorer PFS (HR, 2.05; 95% CI, 1.25–3.18, P<0.001) and OS (HR, 2.73; 95% CI, 1.61–4.64, P<0.001). RDW>14.66 showed a nonlinear increased risk for a poor PFS and OS.

Conclusion

RDW is an easy, quick, and inexpensive tool for the early detection and risk management of cervical cancer. A greater RDW is associated with a poor prognosis in cervical cancer.

Preoperative hemogram as a predictive factor for iron deficit and/or transfusion in patients scheduled for arthroplasty

INTRODUCTION

anemia and iron deficiency predispose to an increased risk of transfusion with a consequent increase in morbidity and mortality. The study analyzes whether blood cell count parameters in addition to detecting anemia can predict iron deficiency and/or transfusional risk in patients undergoing mostly to scheduled primary hip and knee arthroplasty.

OBJECTIVE

To analyze how blood cell count parameters predict iron deficiency and/or transfusional risk in patients undergoing programmed arthroplasty.

MATERIAL AND METHODS

The analytical and transfusion results of 522 patients undergoing arthroplasty have been prospectively collected between 2013 and 2019 and the discriminative and predictive capacity of the basic parameters of the red cells have been analyzed; hemoglobin (Hb), mean cell volume, mean cell hemoglobin (HCM) and red blood cell distribution width (RDW) for the identification of presurgical iron deficiency and postsurgical transfusion.

RESULTS

Anaemia was detected in 6.6%, "suboptim" Hb (<13 g/dL) in 14.5% and iron deficiency in 32.4%. Anemia detects only 13.8% of ID. After logistic regression analysis, the multivariate model significantly related Hb (p = .004), mean corpuscular hemoglobin (MCH) (p = .026), and the red cell distribution width (RDW) (p = .001) with ID; but mean corpuscular volume (MCV) is not significant. Hb, age and transferrin saturation index have been the only risk factors for transfusional risk of the parameters analyzed.

CONCLUSIONS

The hemogram contains parameters that correlate with iron deficiency, however, mean cell volume, so widely used for the orientation of iron deficiency, is not valid as a discriminator of iron deficiency in this group of patients. Low Hb and transferrin saturation index are modifiable predictors for transfusion risk.

Preoperative hemogram as a predictive factor for iron deficit and/or transfusion in patients scheduled for arthroplasty

INTRODUCTION

Anemia and iron deficiency predispose to an increased risk of transfusion with a consequent increase in morbidity and mortality. The study analyzes whether blood cell count parameters in addition to detecting anemia can predict iron deficiency and/or transfusional risk in patients undergoing mostly to scheduled primary hip and knee arthroplasty.

OBJECTIVE

To analyze how blood cell count parameters predict iron deficiency and/or transfusional risk in patients undergoing programmed arthroplasty.

MATERIAL AND METHODS

The analytical and transfusion results of 522 patients undergoing arthroplasty have been prospectively collected between 2013 and 2019 and the discriminative and predictive capacity of the basic parameters of the red cells have been analyzed; hemoglobin (Hb), mean cell volume, mean cell hemoglobin (HCM) and red blood cell distribution width (RDW) for the identification of presurgical iron deficiency and postsurgical transfusion.

RESULTS

Anaemia was detected in 6.6%, "suboptim" Hb (<13g/dL) in 14.5% and iron deficiency in 32.4%. Anemia detects only 13.8% of ID. After logistic regression analysis, the multivariate model significantly related Hb (p=.004), mean corpuscular hemoglobin (MCH) (p=.026), and the red cell distribution width (RDW) (p=.001) with ID; but mean corpuscular volume (MCV) is not significant. Hb, age and transferrin saturation index have been the only risk factors for transfusional risk of the parameters analyzed.

CONCLUSIONS

The hemogram contains parameters that correlate with iron deficiency, however, mean cell volume, so widely used for the orientation of iron deficiency, is not valid as a discriminator of iron deficiency in this group of patients. Low Hb and transferrin saturation index are modifiable predictors for transfusion risk.

Identifying Novel Biomarkers Ready for Evaluation in Low-Prevalence Populations for the Early Detection of Lower Gastrointestinal Cancers: A Systematic Review and Meta-Analysis

INTRODUCTION

Lower gastrointestinal (GI) cancers are a major cause of cancer deaths worldwide. Prognosis improves with earlier diagnosis, and non-invasive biomarkers have the potential to aid with early detection. Substantial investment has been made into the development of biomarkers; however, studies are often carried out in specialist settings and few have been evaluated for low-prevalence populations.

METHODS

We aimed to identify novel biomarkers for the detection of lower GI cancers that have the potential to be evaluated for use in primary care. MEDLINE, Embase, Emcare and Web of Science were systematically searched for studies published in English from January 2000 to October 2019. Reference lists of included studies were also assessed. Studies had to report on measures of diagnostic performance for biomarkers (single or in panels) used to detect colorectal or anal cancers. We included all designs and excluded studies with fewer than 50 cases/controls. Data were extracted from published studies on types of biomarkers, populations and outcomes. Narrative synthesis was used, and measures of specificity and sensitivity were meta-analysed where possible.

RESULTS

We identified 142 studies reporting on biomarkers for lower GI cancers, for 24,844 cases and 45,374 controls. A total of 378 unique biomarkers were identified. Heterogeneity of study design, population type and sample source precluded meta-analysis for all markers except methylated septin 9 (mSEPT9) and pyruvate kinase type tumour M2 (TuM2-PK). The estimated sensitivity and specificity of mSEPT9 was 80.6% (95% CI 76.6-84.0%) and 88.0% (95% CI 79.1-93.4%) respectively; TuM2-PK had an estimated sensitivity of 81.6% (95% CI 75.2-86.6%) and specificity of 80.1% (95% CI 76.7-83.0%).

CONCLUSION

Two novel biomarkers (mSEPT9 and TuM2-PK) were identified from the literature with potential for use in lower-prevalence populations. Further research is needed to validate these biomarkers in primary care for screening and assessment of symptomatic patients.

The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal

INTRODUCTION

A full blood count (FBC) blood test includes 20 components. We systematically reviewed studies that assessed the association of the FBC and diagnosis of colorectal cancer to identify components as risk factors. We reviewed FBC-based prediction models for colorectal cancer risk.

METHODS

MEDLINE, EMBASE, CINAHL, and Web of Science were searched until 3 September 2019. We meta-analysed the mean difference in FBC components between those with and without a diagnosis and critically appraised the development and validation of FBC-based prediction models.

RESULTS

We included 53 eligible articles. Three of four meta-analysed components showed an association with diagnosis. In the remaining 16 with insufficient data for meta-analysis, three were associated with colorectal cancer. Thirteen FBC-based models were developed. Model performance was commonly assessed using the c-statistic (range 0.72-0.91) and calibration plots. Some models appeared to work well for early detection but good performance may be driven by early events.

CONCLUSION

Red blood cells, haemoglobin, mean corpuscular volume, red blood cell distribution width, white blood cell count, and platelets are associated with diagnosis and could be used for referral. Existing FBC-based prediction models might not perform as well as expected and need further critical testing.

Prognostic evaluation of colorectal cancer using three new comprehensive indexes related to infection, anemia and coagulation derived from peripheral blood

Background: Many indicators of peripheral blood in routine blood test (BRT) results of colorectal cancer (CRC) patients are related to prognosis. Currently, indexes such as NLR (Neutrophil-to- Lymphocyte Ratio), PLR (Platelet-to-Lymphocyte Ratio) and LMR (Lymphocyte-to-Monocyte ratio) evaluate the survival risk of patients by assessing the inflammatory - immune status of CRCs. These indexes are more comprehensive and accurate than independent estimates. We hope to design more effective indexes through fully considering the correlation and significance between BRT indicators and prognosis, so as to play a guiding role in clinical malignant estimation of CRCs.

Methods: 701 CRCs in training set and 256 CRCs in test set were included in the study samples, and their clinical data, tumor pathology results and peripheral blood routine results were collected. The prognosis, progression, and survival status of all patients were determined after follow-up. Above data were used for statistical analysis and designing new indexes.

Results: It was found that high NE, MONO, RDW-CV/SD and PLT in peripheral blood indicated poor prognosis of DFS and OS. Conversely, CRCs with postoperative tumor progression or death had lower LY, EO, RBC, HGB, HCT, MCV, MCH, MCHC, PDW, and P-LCR. IRR, ARR and CRR related to infection, anemia and coagulation were designed respectively using the largest AUC indicators (P<0.05) selected by ROC curve. The formula: IRR= (NE*MONO)/(LY*EO); ARR= (HGB*MCHC)/RDW-CV; CRR=PLT/PDW. Results of Kaplan‑Meier survival analysis and multivariate COX proportional hazard analysis adjusted for age, gender, TNM stage, infiltration, adhesion showed IRR, ARR, CRR were all able to be used as the evaluation standard of survival of CRC. The result was also authenticated in the test set.

Conclusion: We designed three different prognostic indexes of colorectal cancer, IRR, ARR and CRR, which could be used as risk indicators of CRC prognosis, tumor progression and survival.