Systemic Inflammatory Biomarkers as Surrogate Markers for Stage in Colon Cancer

2021 ◽  
pp. 000313482199505
Author(s):  
Server Sezgin Uludag ◽  
Ahmet Necati Sanli ◽  
Abdullah Kagan Zengin ◽  
Mehmet Faik Ozcelik
Keyword(s):  
Colon Cancer ◽  
Cancer Patients ◽  
Late Stage ◽  
Early Stage ◽  
Tnm Stage ◽  
Inflammatory Biomarkers ◽  
Monocyte Count ◽  
Characteristic Analysis ◽  
Albumin Ratio ◽  
Lymphocyte Ratio

Background This study aimed to investigate whether the systemic inflammatory parameters currently in use in staging the disease can be used as biomarker tests operated colon cancer patients. Neutrophil, lymphocyte, monocyte, platelet, neutrophil/lymphocyte ratio (NLR), lymphocyte/monocyte ratio (LMR), platelet/lymphocyte ratio (PLR), neutrophil/monocyte ratio (NMR), CRP, albumin, lymphocyte/CRP ratio, CRP/albumin ratio, and neutrophil/albumin ratio as systemic inflammatory biomarkers and prognostic nutritional index (PNI) were evaluated. Methods This retrospective study included 592 patients. Patients with colon cancer in the cohort were divided into 2 subgroups: Tumor, nodes, metastases (TNM) stage 0, TNM stage 1, and TNM stage 2; early stage (n: 332) and TNM stage 3 and TNM stage 4; late stage (n: 260) colon cancer patients. Results LDH ( P < .001), NLR ( P < .001), PLR ( P < .05), CRP/albumin ( P < .01), and neutrophil/albumin ( P < .01) were significantly higher, while monocyte count ( P < .05) and PNI ( P < .01) were found to be significantly lower in late stage colon cancer patients than in early stage colon cancer patients. Moderate negative correlation was found between the PNI and the neutrophil/albumin ratio in late stage colon cancer patients (r: −.568, P < .001). Conclusions Our data suggest that high serum LDH, NLR, PLR, CRP/albumin, and neutrophil/albumin may be useful predictive markers for advanced stage in colon cancer. According to the receiver operating characteristic analysis results, CRP/albumin ratio can be used to discriminate early from late stage. Preoperative low monocyte count and PNI are associated with postoperative staging patients with colon cancer.

scholarly journals Prognostic Value of Pretreatment Lymphocyte-to-Monocyte Ratio and Development of a Nomogram in Breast Cancer Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Ying Yin ◽  
Yong Zhang ◽  
Li Li ◽  
Shaotong Zhang ◽  
Ning Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Multivariate Analysis ◽  
Cancer Patients ◽  
Molecular Subtype ◽  
Tnm Stage ◽  
Monocyte Count ◽  
Breast Cancer Patients ◽  
Lymphocyte Ratio ◽  
Lymphocyte To Monocyte Ratio ◽  
Kaplan Meier

PurposeThe objective of this study was to explore the prognostic significance of pretreatment hematologic parameters in predicting disease-free survival (DFS) of breast cancer patients.Materials and MethodsThe medical records of 440 breast cancer patients in Shandong Cancer Hospital and Institute from 2003 to 2013 were analyzed retrospectively. Through the results of blood routine before treatment, the absolute lymphocyte count (ALC), absolute neutrophil count (ANC), absolute monocyte count (AMC), and absolute platelet count (APC) in peripheral blood were collected. The lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-monocyte ratio (NMR) were calculated. Cox proportional hazard model was used for univariate and multivariate analysis. The DFS was compared using Kaplan–Meier method. The prognostic nomogram of patients with breast cancer was developed.ResultsThe median DFS for all patients was 64.10 months. Univariate analysis showed that the DFS was associated with surgical approach, TNM stage, molecular subtype, neoadjuvant chemotherapy, radiotherapy, and LMR (p &lt; 0.05). TNM stage, molecular subtype, and LMR were independent prognostic factors of breast cancer in multivariate analysis (p &lt; 0.05). According to the Kaplan–Meier survival curve analysis, patients with higher LMR (≥4.85) were associated with longer median DFS (median DFS, 85.83 vs. 60.90, p &lt; 0.001). The proposed nomogram that incorporated LMR, TNM stage, and molecular subtype got a concordance index (c-index) of 0.69 in predicting 5-year DFS.ConclusionIn breast cancer patients, higher LMR was associated with longer median DFS and the nomogram including LMR, TNM stage, and molecular subtype could accurately predict the prolonged 5-year DFS of breast cancer patients.

Health Insurance Status as a Predictor of Mode of Colon Cancer Detection but Not Stage at Diagnosis: Implications for Early Detection

2021 ◽  
pp. 003335492199917
Author(s):  
Lindsey A. Jones ◽  
Katherine C. Brewer ◽  
Leslie R. Carnahan ◽  
Jennifer A. Parsons ◽  
Blase N. Polite ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Health Insurance ◽  
Early Detection ◽  
Late Stage ◽  
Early Stage ◽  
Insurance Status ◽  
Stage At Diagnosis ◽  
Health Insurance Status ◽  
Percentage Point Increase ◽  
Point Increase

Objective For colon cancer patients, one goal of health insurance is to improve access to screening that leads to early detection, early-stage diagnosis, and polyp removal, all of which results in easier treatment and better outcomes. We examined associations among health insurance status, mode of detection (screen detection vs symptomatic presentation), and stage at diagnosis (early vs late) in a diverse sample of patients recently diagnosed with colon cancer from the Chicago metropolitan area. Methods Data came from the Colon Cancer Patterns of Care in Chicago study of racial and socioeconomic disparities in colon cancer screening, diagnosis, and care. We collected data from the medical records of non-Hispanic Black and non-Hispanic White patients aged ≥50 and diagnosed with colon cancer from October 2010 through January 2014 (N = 348). We used logistic regression with marginal standardization to model associations between health insurance status and study outcomes. Results After adjusting for age, race, sex, and socioeconomic status, being continuously insured 5 years before diagnosis and through diagnosis was associated with a 20 (95% CI, 8-33) percentage-point increase in prevalence of screen detection. Screen detection in turn was associated with a 15 (95% CI, 3-27) percentage-point increase in early-stage diagnosis; however, nearly half (47%; n = 54) of the 114 screen-detected patients were still diagnosed at late stage (stage 3 or 4). Health insurance status was not associated with earlier stage at diagnosis. Conclusions For health insurance to effectively shift stage at diagnosis, stronger associations are needed between health insurance and screening-related detection; between screening-related detection and early stage at diagnosis; or both. Findings also highlight the need to better understand factors contributing to late-stage colon cancer diagnosis despite screen detection.

scholarly journals Analysis of multi-omics differences in left-side and right-side colon cancer

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11433
Author(s):  
Yanyi Huang ◽  
Jinzhong Duanmu ◽  
Yushu Liu ◽  
Mengyun Yan ◽  
Taiyuan Li ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Patients ◽  
Gene Mutation ◽  
Somatic Mutation ◽  
Transcriptome Data ◽  
Characteristic Analysis ◽  
Immune Microenvironment ◽  
Mutation Data ◽  
Upregulated Genes ◽  
Testing Set

Background Colon cancer is one of the most common tumors in the digestive tract. Studies of left-side colon cancer (LCC) and right-side colon cancer (RCC) show that these two subtypes have different prognoses, outcomes, and clinical responses to chemotherapy. Therefore, a better understanding of the importance of the clinical classifications of the anatomic subtypes of colon cancer is needed. Methods We collected colon cancer patients’ transcriptome data, clinical information, and somatic mutation data from the Cancer Genome Atlas (TCGA) database portal. The transcriptome data were taken from 390 colon cancer patients (172 LCC samples and 218 RCC samples); the somatic mutation data included 142 LCC samples and 187 RCC samples. We compared the expression and prognostic differences of LCC and RCC by conducting a multi-omics analysis of each using the clinical characteristics, immune microenvironment, transcriptomic differences, and mutation differences. The prognostic signatures was validated using the internal testing set, complete set, and external testing set (GSE39582). We also verified the independent prognostic value of the signature. Results The results of our clinical characteristic analysis showed that RCC had a significantly worse prognosis than LCC. The analysis of the immune microenvironment showed that immune infiltration was more common in RCC than LCC. The results of differential gene analysis showed that there were 360 differentially expressed genes, with 142 upregulated genes in LCC and 218 upregulated genes in RCC. The mutation frequency of RCC was generally higher than that of LCC. BRAF and KRAS gene mutations were the dominant genes mutations in RCC, and they had a strong mutual exclusion with APC, while APC gene mutation was the dominant gene mutation in LCC. This suggests that the molecular mechanisms of RCC and LCC differed. The 4-mRNA and 6-mRNA in the prognostic signatures of LCC and RCC, respectively, were highly predictive and may be used as independent prognostic factors. Conclusion The clinical classification of the anatomic subtypes of colon cancer is of great significance for early diagnosis and prognostic risk assessment. Our study provides directions for individualized treatment of left and right colon cancer.

Identifying Potential Markers for Monitoring Progression to Ovarian Cancer Using Plasma Label-free Proteomics

2019 ◽  
Author(s):  
Wenjie Wang ◽  
Hongyu Xie ◽  
Bairong Xia ◽  
LiuChao Zhang ◽  
Ce Wang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Patients ◽  
Plasma Protein ◽  
Late Stage ◽  
Early Stage ◽  
Label Free ◽  
Absolute Quantitation ◽  
Keywords Ovarian Cancer ◽  
Benign Ovarian Tumor ◽  
Increased Risk

Abstract PurposeCancer antigen 125 (CA125) is considered to have high sensitivity but poor specificity for ovarian cancer. New biomarkers utilized to early detect and monitor the progression of ovarian cancer patients are critically needed. Methods A total of 80 patients including 16 early stage, and matched with 17 late stage, 23 benign ovarian tumor (BOT) and 24 uterine fibroid (UF) patients were utilized to perform plasma proteomics analysis using isobaric tag for relative and absolute quantitation (iTRAQ) method to identify differential diagnostic proteins of ovarian cancer patients. A validation set of 9 early stage, 11 late stage, 17 BOT and 16 UF collected by an independent cohort of samples with the same matching principles was examined to confirm the expressed levels of differential expression proteins by ELISA analysis. Results CRP and ARHGEF 11 were identified as potential diagnostic biomarkers of ovarian cancer. Results of area under the curve (AUC) analysis suggested that combination of diagnostic proteins and CA125 achieved a much higher diagnostic accuracy compared with CA125 alone (AUC values: 0.98 versus 0.80), especially improved the specificity (0.97 versus 0.77). In addition, elevated plasma CRP levels were associated with increased risk of ovarian cancer. Conclusions Current study found that plasma protein CRP was an indicator for monitoring the progression of ovarian cancer. Combination of plasma protein biomarkers with CA125 could be utilized to early diagnose of ovarian cancer patients. Keywords ovarian cancer, proteomics, diagnosis, progression, CRP

scholarly journals Osteopontin, Macrophage Migration Inhibitory Factor and Anti-Interleukin-8 Autoantibodies Complement CA125 for Detection of Early Stage Ovarian Cancer

Cancers ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 596 ◽  
Author(s):  
Jing Guo ◽  
Wei-Lei Yang ◽  
Daewoo Pak ◽  
Joseph Celestino ◽  
Karen H. Lu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Patients ◽  
Late Stage ◽  
Early Stage ◽  
Characteristic Curve ◽  
Stage I ◽  
Inhibitory Factor ◽  
Early Stage Disease ◽  
Biomarker Panel ◽  
Early Stage Ovarian Cancer

Early detection of ovarian cancer promises to reduce mortality. While serum CA125 can detect more than 60% of patients with early stage (I–II) disease, greater sensitivity might be observed with a panel of biomarkers. Ten protein antigens and 12 autoantibody biomarkers were measured in sera from 76 patients with early stage (I–II), 44 patients with late stage (III–IV) ovarian cancer and 200 healthy participants in the normal risk ovarian cancer screening study. A four-biomarker panel (CA125, osteopontin (OPN), macrophage inhibitory factor (MIF), and anti-IL-8 autoantibodies) detected 82% of early stage cancers compared to 65% with CA125 alone. In early stage subjects the area under the receiver operating characteristic curve (AUC) for the panel (0.985) was significantly greater (p < 0.001) than the AUC for CA125 alone (0.885). Assaying an independent validation set of sera from 71 early stage ovarian cancer patients, 45 late stage patients and 131 healthy women, AUC in early stage disease was improved from 0.947 with CA125 alone to 0.974 with the four-biomarker panel (p = 0.015). Consequently, OPN, MIF and IL-8 autoantibodies can be used in combination with CA125 to distinguish ovarian cancer patients from healthy controls with high sensitivity. Osteopontin appears to be a robust biomarker that deserves further evaluation in combination with CA125.

QIM19-124: Does Virtual Navigation Improve Care Continuity and Compliance in Patients With Early Stage Colon Cancer?

2019 ◽  
Vol 17 (3.5) ◽  
pp. QIM19-124
Author(s):  
Dayna Crawford ◽  
Brook Blackmore ◽  
Jeremy Ortega ◽  
Erica Williams
Keyword(s):  
Colon Cancer ◽  
Cancer Patients ◽  
Early Stage ◽  
Stage I ◽  
Stage Iii ◽  
Nccn Guidelines ◽  
Care Continuity ◽  
Colon Cancers ◽  
Follow Up Care

Background: Colon cancer is the 3rd most common cancer in men and women combined, with an occurrence rate of 4.49% for men and 4.15% for women. The 2018 expectation is 50,630 deaths related to colon cancer in the United States (American Cancer Society Facts and Figures 2018). Early detection is increasing with nearly 45% of colon cancers diagnosed as stage I/II (Sarah Cannon Cancer Registry 2015). Treatment for early stage I/II colon cancer patients usually involves surgery then surveillance. On-site navigators perform their duties by patient need and barriers to care. Late stage III/IV colon cancer patients require more assistance and face more barriers, which often leaves early stage I/II patients without an advocate. This disparity can lead to lower rates of follow-up care for early stage I/II patients. Sarah Cannon created a program for virtual colon navigation (VCN) to determine if early stage I/II patients benefit from a virtual navigator who offers support by phone throughout their disease process. Objectives: The goal was to increase early stage I/II patients’ knowledge of their cancer and convey the importance of compliance with follow-up care, such as repeat colonoscopy as recommended by their physician and NCCN Guidelines. Methods: By developing software that utilizes artificial intelligence, Sarah Cannon created an automated process to identify colon cancer patients at the time of diagnosis. This technology then routes positive pathology reports to a VCN who contacts the early stage I/II patients by telephone, ensuring patient connection to the suitable physician for treatment. The VCN helps patients understand their diagnosis, provides education, assesses barriers to care, connects to resources, provides emotional support, and offers assistance with follow-up for physician visits, imaging and procedures such as colonoscopies, based upon NCCN Guidelines and physician guidelines. The VCN also connects stage III/IV patients with an on-site navigator in their region for more hands-on navigation. Results: Through September 2018, Sarah Cannon navigated 734 colon cancers, 332 stage I/II and 402 stage III/IV. With our increased capacity, Sarah Cannon/HCA maintained a 98% rate of follow-up care with new diagnoses of all stages of colon cancer. Conclusions: The VCN program allowed Sarah Cannon/HCA to improve care continuity and compliance based upon NCCN Guidelines for early stage I/II colon cancer patients throughout 5 regions and 37 facilities.

Costs of administration of intravenous (IV) therapies in early versus late stage breast cancer in a US population

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 6588-6588
Author(s):  
G. B. Kruse ◽  
M. M. Amonkar ◽  
D. Skonieczny ◽  
G. L. Smith
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Late Stage ◽  
Early Stage ◽  
Administrative Claims ◽  
Cancer Drugs ◽  
Breast Cancer Patients ◽  
Related Services ◽  
Specialized Equipment ◽  
Cost Components

6588 Background: There are significant costs associated with IV administration of cancer drugs ranging from adverse events associated with the administration to the need for specialized equipment, supplies and personnel time. This study utilized a novel provider-payer contract database to compare the cost components of providing IV therapy to women with early and late stage breast cancer. Methods: Women diagnosed with breast cancer (ICD-9 code 174) between 01/01/2003 and 05/31/2006 and receiving IV monotherapy were identified from an administrative claims database of >60 multi-specialty medical practices/clinics (additional ICD-9 codes 196–198 used to identify late stage breast cancer). Costs were estimated on a per IV administration visit basis using the allowable amount for a claim which closely represents the actual amount paid to providers. Published literature was used to categorize the various billable cost components. Results: 1,393 early and 828 late stage breast cancer patients receiving any of 11 IV breast cancer drugs were identified. The costs breakdown by category for all drugs and for the 2 most commonly used drugs, per IV administration visit, is presented in the table . Conclusions: Costs associated with administration of IV therapies and other visit-related services constituted more than 36% of total costs for early stage and 41% of total costs for late stage breast cancer patients. These costs represent a significant cost burden to payers. Maximization of valuable resources could be effected by increased use of effective oral therapies for treatment of breast cancer. [Table: see text] [Table: see text]

Genomic characterization of HBV-infected hepatocellular carcinoma patients using circulating tumor DNA.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 575-575
Author(s):  
Daniel Lin ◽  
Zhong Ye ◽  
Chun Wang ◽  
Qiang Wei ◽  
Li Bingshan ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cancer Patients ◽  
Early Stage ◽  
Circulating Tumor Dna ◽  
University Hospital ◽  
Clinical Factors ◽  
Characteristic Analysis ◽  
Genomic Aberrations ◽  
Mutant Genes ◽  
Tumor Dna

575 Background: Hepatocellular carcinoma (HCC) is a leading cause of mortality, with Hepatitis B virus (HBV) infection as a dominant etiology. Surgery or ablation may be curative for early-stage HCC. Thus, effective detection strategies are needed. We investigated genomic aberrations in circulating tumor DNA (ctDNA) as a potential diagnostic marker of HCC in HBV-infected patients. Methods: We identified early stage (BCLC 0-A) HCC cases (n = 21) and cancer-free controls (n = 15) from a cohort of Asian patients with HBV, undergoing surveillance at Thomas Jefferson University Hospital between 2013-2017. Blood samples were collected. Circulating cell-free DNA was isolated from plasma and assayed by capture-based next-generation sequencing of a targeted panel of 23 genes implicated in HCC pathogenesis. Sequencing data analysis and somatic mutation identification were conducted using a computational pipeline. Using area under the curve (AUC) in receiver operating characteristic analysis, we evaluated gene alterations and clinical factors (age, gender, cirrhosis) in an exploratory early detection HCC model. Results: Mutant ARID1A, ATM, CDKN2A, CTNNB1, ERBB2, TP53 genes were increased in HCC cases relative to non-cancer patients (85.7% vs 53.3%, P = 0.058; 42.9% vs 6.7%, P = 0.025; 38.1% vs 6.7%, P = 0.051; 42.9% vs 0%, P = 0.005; 52.4% vs 13.3%, P = 0.016; 100% vs 66.7%, P = 0.008, respectively). HCC patients had higher prevalence of cirrhosis than controls (90.5% vs. 60%, P = 0.046). Using the 6 mutant genes alone, the AUC for discriminating HCC from non-cancer patients was 0.827 (95% confidence interval [CI]: 0.701-0.953), which was greater than the AUC for discriminating cirrhosis from non-cirrhosis (0.531). When the 6 mutant genes were combined with clinical factors, the AUC of the exploratory HCC detection model increased to 0.914 ( P= 0.045). Conclusions: We identified 6 genomic aberrations in ctDNA that were more prevalent in HCC patients compared with non-cancer patients. Combining these alterations with clinical factors may identify HCC in HBV-infected patients at an early stage. These findings warrant further validation in future studies.

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