1
|
Rama NJG, Sousa I. Bridging the gap: The role of technological advances in shaping gastrointestinal oncological outcomes. World J Gastrointest Oncol 2025; 17:101752. [PMID: 40092923 PMCID: PMC11866242 DOI: 10.4251/wjgo.v17.i3.101752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 11/13/2024] [Accepted: 12/16/2024] [Indexed: 02/14/2025] Open
Abstract
Gastrointestinal (GI) cancers are highly prevalent and considered a major global health challenge. Their approach has undergone a remarkable transformation over the past years due to the development of new technologies that enabled better outcomes regarding their diagnosis and management. These include artificial intelligence, robotics, next-generation sequencing and personalized medicine. Nonetheless, the integration of these advances into everyday clinical practice remains complex and challenging as we are still trying to figure out if these innovations tangibly improve oncological outcomes or if the current state of art should remain as the gold standard for the treatment of these patients. Additionally, there are also some issues regarding ethical subjects, data privacy, finances and governance. Precision surgery concept has evolved considerably over the past decades, especially for oncological patients. It aims to customize medical treatments and to operate on those patients who most likely will benefit from a specific surgical procedure. In the future, to improve GI oncological outcomes, a delicate balance between technological advances adoption and evidence-based care should be chased. As we move forward, the question will be to harness the power of innovation while keeping up the highest standards of patient care.
Collapse
Affiliation(s)
- Nuno J G Rama
- Division of Colorectal Surgical, Leiria Hospital Centre, Leiria 2410-021, Portugal
| | - Inês Sousa
- Department of Surgical, Leiria Hospital Centre, Leiria 2410-021, Portugal
| |
Collapse
|
2
|
Sun Q, Long L. Diagnostic performances of methylated septin9 gene, CEA, CA19-9 and platelet-to-lymphocyte ratio in colorectal cancer. BMC Cancer 2024; 24:906. [PMID: 39068425 PMCID: PMC11283703 DOI: 10.1186/s12885-024-12670-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Accepted: 07/22/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND This study was designed to compare the diagnostic efficacy of mSEPT9 to four blood markers (CEA, CA19-9, platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR)). In addition, we aimed to determine the combined diagnostic efficacy of mSEPT9, CEA, CA19-9, PLR and NLR in colorectal cancer. METHODS A total of 567 participants were enrolled in the study, including 308 CRC patients, 61 colorectal polyp patients and 198 healthy subjects confirmed by colonoscopy and/or tissue biopsy. Plasma samples were collected for tests. RESULTS The positive rate of mSEPT9 in CRC (71.8%) was markedly higher than that in either the colorectal polyps group (27.9%) or the healthy controls (6.1%) (P < 0.001). The levels of CEA, CA19-9, NLR and PLR in the CRC group were significantly higher than those in the non-CRC groups (P < 0.05). ROC curves comparison analyses showed that the diagnostic efficacy of mSEPT9 alone in CRC was significantly higher than CEA, CA19-9, NLR and PLR alone. The combination of mSEPT9 with CEA, CA19-9 and PLR showed superior diagnostic value. In addition, binary logistic regression was also used to build a better model for clinical diagnosis of CRC. On univariable analyses, age, mSEPT9, CEA, CA 19-9, PLR and NLR were independent predictors of CRC. When these covariates were fitted in multivariable models, the ones with positive detection of mSEPT9, CEA, CA 19-9 and PLR were more likely to have CRC. CONCLUSIONS This research revealed a significant association between mSEPT9 status and the clinicopathological characteristics of CRC patients, and the combination of mSEPT9, CEA, CA19-9 and PLR could significantly improve diagnostic efficacy in CRC.
Collapse
Affiliation(s)
- Qian Sun
- Department of Clinical Laboratory, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan Province, 410008, China
| | - Lu Long
- Department of Clinical Laboratory, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan Province, 410008, China.
| |
Collapse
|
3
|
Rafiq M, Drosdowsky A, Solomon B, Alexander M, Gibbs P, Wright G, Yeung JM, Lyratzopoulos G, Emery J. Trends in primary care blood tests prior to lung and colorectal cancer diagnosis-A retrospective cohort study using linked Australian data. Cancer Med 2024; 13:e70006. [PMID: 39001673 PMCID: PMC11245636 DOI: 10.1002/cam4.70006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 06/20/2024] [Accepted: 06/30/2024] [Indexed: 07/16/2024] Open
Abstract
INTRODUCTION Abnormal results in common blood tests may occur several months before lung cancer (LC) and colorectal cancer (CRC) diagnosis. Identifying early blood markers of cancer and distinct blood test signatures could support earlier diagnosis in general practice. METHODS Using linked Australian primary care and hospital cancer registry data, we conducted a cohort study of 855 LC and 399 CRC patients diagnosed between 2001 and 2021. Requests and results from general practice blood tests (six acute phase reactants [APR] and six red blood cell indices [RBCI]) were examined in the 2 years before cancer diagnosis. Poisson regression models were used to estimate monthly incidence rates and examine pre-diagnostic trends in blood test use and abnormal results prior to cancer diagnosis, comparing patterns in LC and CRC patients. RESULTS General practice blood test requests increase from 7 months before CRC and 6 months before LC diagnosis. Abnormalities in many APR and RBCI tests increase several months before cancer diagnosis, often occur prior to or in the absence of anaemia (in 51% of CRC and 81% of LC patients with abnormalities), and are different in LC and CRC patients. CONCLUSIONS This study demonstrates an increase in diagnostic activity in Australian general practice several months before LC and CRC diagnosis, indicating potential opportunities for earlier diagnosis. It identifies blood test abnormalities and distinct signatures that are early markers of LC and CRC. If combined with other pre-diagnostic information, these blood tests have potential to support GPs in prioritising patients for cancer investigation of different sites to expedite diagnosis.
Collapse
Affiliation(s)
- Meena Rafiq
- Department of General Practice and Centre for Cancer Research, University of Melbourne, Melbourne, Victoria, Australia
- Epidemiology of Cancer Healthcare & Outcomes (ECHO) Group, Department of Behavioural Science and Health, Institute of Epidemiology and Health Care (IECH), UCL, London, UK
| | - Allison Drosdowsky
- Department of General Practice and Centre for Cancer Research, University of Melbourne, Melbourne, Victoria, Australia
| | - Ben Solomon
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | - Peter Gibbs
- Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Gavin Wright
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Justin M Yeung
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia
| | - Georgios Lyratzopoulos
- Epidemiology of Cancer Healthcare & Outcomes (ECHO) Group, Department of Behavioural Science and Health, Institute of Epidemiology and Health Care (IECH), UCL, London, UK
| | - Jon Emery
- Department of General Practice and Centre for Cancer Research, University of Melbourne, Melbourne, Victoria, Australia
| |
Collapse
|
4
|
Zhao W, Shen X, Hua Q, Yang L, Zhou R, Zhou C, Xu P. Red cell distribution width-a potential prognostic indicator for colorectal cancer patients after radical resection in China. J Gastrointest Oncol 2023; 14:1746-1758. [PMID: 37720452 PMCID: PMC10502564 DOI: 10.21037/jgo-23-54] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 06/26/2023] [Indexed: 09/19/2023] Open
Abstract
Background Red cell distribution width (RDW) can signal poor prognosis in inflammatory medical conditions. The purpose of the study was to investigate the relationship between preoperative RDW and colorectal cancer (CRC) in a large cohort of patients. Methods A total of 6,224 CRC patients who underwent radical resection at the Fudan University Shanghai Cancer Center were evaluated retrospectively. The prognostic significance of RDW for overall survival (OS) and disease-free survival (DFS) was analyzed using Cox proportional hazards models and Kaplan-Meier method. Propensity score matching (PSM) was used based on survival confounding factors. Results The mean age of the study participants was 59.5±12.0 years and the study cohort was 44% female. The overall median and mean RDW values were 13.3% and 14.0%, respectively. Patients were stratified into three groups based on their RDW value (≤13.3%, 13.4-14.0%, and >14.0%). OS and DFS were shown to significantly deteriorate with increasing RDW category. In the PSM population, OS and DFS were significantly lower in the high RDW group compared with matched controls. However, the differences vanished in the comparisons between the middle RDW group and the control group. Conclusions Our findings demonstrate that preoperative RDW may represent a simple and powerful prognostic factor for CRC patients after radical resection. Integrating RDW into clinical practice may better inform the prognosis and optimize therapeutic approaches for patients with CRC.
Collapse
Affiliation(s)
- Weiwei Zhao
- Department of Integrated Therapy, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xuefang Shen
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Anesthesiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Qing Hua
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Anesthesiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Liu Yang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Anesthesiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ru Zhou
- Department of General Surgery, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Changming Zhou
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Pingbo Xu
- Department of Anesthesiology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| |
Collapse
|
5
|
Lu Y, Guo H, Jiang J. Development and validation of a web-based predictive model for preoperative diagnosis of localized colorectal cancer and colorectal adenoma. Front Oncol 2023; 13:1199868. [PMID: 37664051 PMCID: PMC10470828 DOI: 10.3389/fonc.2023.1199868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 08/03/2023] [Indexed: 09/05/2023] Open
Abstract
Background Localized colorectal cancer (LCC) has obscure clinical signs, which are difficult to distinguish from colorectal adenoma (CA). This study aimed to develop and validate a web-based predictive model for preoperative diagnosis of LCC and CA. Methods We conducted a retrospective study that included data from 500 patients with LCC and 980 patients with CA who were admitted to Dongyang People's Hospital between November 2012 and June 2022. Patients were randomly divided into the training (n=1036) and validation (n=444) cohorts. Univariate logistic regression, least absolute shrinkage and selection operator regression, and multivariate logistic regression were used to select the variables for predictive models. The area under the curve (AUC), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were used to evaluate the performance of the model. Results The web-based predictive model was developed, including nine independent risk factors: age, sex, drinking history, white blood cell count, lymphocyte count, red blood cell distribution width, albumin, carcinoembryonic antigen, and fecal occult blood test. The AUC of the prediction model in the training and validation cohorts was 0.910 (0.892-0.929) and 0.894 (0.862-0.925), respectively. The calibration curve showed good consistency between the outcome predicted by the model and the actual diagnosis. DCA and CIC showed that the predictive model had a good clinical application value. Conclusion This study first developed a web-based preoperative prediction model, which can discriminate LCC from CA and can be used to quantitatively assess the risks and benefits in clinical practice.
Collapse
Affiliation(s)
- Yan Lu
- Clinical Laboratory, DongYang People’s Hospital, Dongyang, Zhejiang, China
| | | | | |
Collapse
|
6
|
Rather TB, Parveiz I, Bhat GA, Rashid G, Akhtar K, Haque R, Ola MS, Ali M, Wani RA, Khan IY, Besina S, Mudassar S. Colorectal Cancer (CRC): Investigating the Expression of the Suppressor of Fused ( SuFu) Gene and Its Relationship with Several Inflammatory Blood-Based Biomarkers. Biomedicines 2023; 11:540. [PMID: 36831076 PMCID: PMC9953361 DOI: 10.3390/biomedicines11020540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 02/15/2023] Open
Abstract
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 (AUCRDW+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.
Collapse
Affiliation(s)
- Tahseen Bilal Rather
- Department of Clinical Biochemistry, Sher-I-Kashmir Institute of Medical Sciences, Soura, Srinagar 190011, India
| | - Ishrat Parveiz
- Department of Clinical Biochemistry, Sher-I-Kashmir Institute of Medical Sciences, Soura, Srinagar 190011, India
| | - Gulzar A Bhat
- Scientist Multidisciplinary Research Unit, Sher-I-Kashmir Institute of Medical Sciences, Soura, Srinagar 190011, India
| | - Gowhar Rashid
- Department of Amity Medical School, Amity University Haryana, Haryana 125001, India
| | - Kulsum Akhtar
- Department of Clinical Biochemistry, Sher-I-Kashmir Institute of Medical Sciences, Soura, Srinagar 190011, India
| | - Rizwanul Haque
- Department of Biotechnology, SEBES, Central University of South Bihar (Gaya), Bihar 824236, India
| | - Mohammad Shamsul Ola
- Department of Biochemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Mehboob Ali
- Senior Scientist Toxicology Invivotek Nexus, a Genesis Biotech Group LLC Company, 17 Black Forest RD, Hamilton, NJ 08690, USA
| | - Rauf A Wani
- Department of General Surgery, Sher-I-Kashmir Institute of Medical Sciences, Soura, Srinagar 190011, India
| | - Ishrat Younas Khan
- Department of Pathology, Sher-I-Kashmir Institute of Medical Sciences, Soura, Srinagar 190011, India
| | - Syed Besina
- Department of Pathology, Sher-I-Kashmir Institute of Medical Sciences, Soura, Srinagar 190011, India
| | - Syed Mudassar
- Department of Clinical Biochemistry, Sher-I-Kashmir Institute of Medical Sciences, Soura, Srinagar 190011, India
| |
Collapse
|
7
|
Yin JM, Zhu KP, Guo ZW, Yi W, He Y, Du GC. Is red cell distribution width a prognostic factor in patients with breast cancer? A meta-analysis. Front Surg 2023; 10:1000522. [PMID: 37035565 PMCID: PMC10079877 DOI: 10.3389/fsurg.2023.1000522] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 02/14/2023] [Indexed: 04/11/2023] Open
Abstract
Purpose The current study aimed to investigate whether red blood cell distribution width (RDW) can predict the prognosis of patients with breast cancer (BC). Methods We searched four databases, including PubMed, Embase, Cochrane Library databases, and CNKI, from inception to Jun 13, 2022. The primary outcome was overall survival (OS), and the secondary outcome was disease-free survival (DFS). A subgroup analysis was conducted based on different treatments. This meta-analysis was performed with RevMan 5.3 (The Cochrane Collaboration, London, United Kingdom). Results A total of seven studies including 4,884 BC patients were identified. The high RDW group had a larger tumor size (OR = 2.12, 95% CI = 1.67 to 2.68, P < 0.01), higher proportions of advanced stage tumors (OR = 1.77, 95% CI = 1.38 to 2.27, P < 0.01), more lymph node metastases (OR = 2.00, 95% CI = 1.58 to 2.51, P < 0.01) and lower HER-2 expression (OR = 0.76, 95% CI = 0.61 to 0.95, P = 0.02). For prognosis, after pooling all the data, we found that the high RDW group was associated with worse OS (HR = 2.12, 95% CI = 1.47 to 3.08, P < 0.01) and DFS (HR = 1.77, 95% CI = 1.32 to 2.37, P < 0.01). The subgroup analysis found that RDW had prognostic significance but only for surgery-only patients (HR = 2.41, 95% CI = 1.67 to 3.49, P < 0.01). Conclusion High RDW was associated with worse OS and DFS. Therefore, RDW was a simple predictive factor for the prognosis of BC patients.
Collapse
|
8
|
Comparison between Clinical Utility of CXCL-8 and Clinical Practice Tumor Markers for Colorectal Cancer Diagnosis. BIOMED RESEARCH INTERNATIONAL 2022; 2022:1213968. [PMID: 36567905 PMCID: PMC9788896 DOI: 10.1155/2022/1213968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 06/28/2022] [Accepted: 10/15/2022] [Indexed: 12/23/2022]
Abstract
Owing to the high incidence and mortality rates of colorectal cancer (CRC), novel biomarkers for CRC diagnosis are critically needed. Therefore, this study is aimed at exploring the clinical utility of serum C-X-C motif chemokine 8 (CXCL-8) for CRC diagnosis and progression compared to the routinely used biomarkers, carcinoembryonic antigen (CEA), and carbohydrate antigen-19-9 (CA19-9). This study included 227 patients with CRC, 110 patients with colorectal adenoma (CA), and 123 healthy participants, who were recruited from the Fujian Medical University Union Hospital from July 1, 2019 to October 31, 2020. Serum concentrations of CXCL-8, CEA, and CA19-9 were detected using enzyme-linked immunosorbent assay and chemiluminescent microparticle immunoassay. Clinicopathological features of patients with CRC were collected and analyzed. The diagnostic efficacy of CXCL-8, CEA, and CA19-9 for CRC was evaluated using receiver operating characteristic (ROC) curves. We found that the serum concentrations of CXCL-8, CEA, and CA19-9 were significantly higher in patients with CRC than those in patients with CA and healthy controls. The diagnostic sensitivity of CXCL-8 alone was higher than those of CEA and CA19-9 both and when combined; thus, CXCL-8 may be better at discriminating patients with CRC from healthy controls and patients with CA. Moreover, combining CXCL-8 with CEA or CA19-9 improved their respective diagnostic performances in distinguishing patients with CRC from CA patients and healthy participants. Notably, we also found that serum concentrations of CXCL-8 were positively correlated with metastases and tumor size. Therefore, our study suggests that serum CXCL-8 may serve as an improved biomarker for CRC diagnosis compared to the traditional tumor markers CEA and CA19-9. Moreover, our findings indicate the potential efficacy of serum CXCL-8 levels as a CRC prognostic biomarker.
Collapse
|
9
|
Methylated Septin 9 as a Promising Biomarker in the Diagnosis and Recurrence Monitoring of Colorectal Cancer. DISEASE MARKERS 2022; 2022:7087885. [PMID: 35818587 PMCID: PMC9271001 DOI: 10.1155/2022/7087885] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 04/29/2022] [Accepted: 06/01/2022] [Indexed: 12/24/2022]
Abstract
Purpose. The clinical utility of plasma methylated septin 9 (mSEPT9) DNA in screening and recurrence monitoring for colorectal cancer (CRC) is highly promising. The present study was performed to determine the diagnostic value of mSEPT9 in CRC detection and recurrence monitoring in Chinese patients. Methods. Overall, 616 patients newly diagnosed with CRC and 122 individuals with no evidence of disease were recruited from October 1, 2019, to May 31, 2021, at Fujian Medical University Union Hospital. Plasma and serum samples were collected for analyzing mSEPT9, carcinoembryonic antigen (CEA), and carbohydrate antigen-19-9 (CA19-9). Data on clinicopathological characteristics were collected and analyzed. Sensitivity and specificity were calculated to evaluate the diagnostic potential of each marker; the receiver operating characteristic (ROC) curve was applied for the assessment of diagnostic value, and comparisons among mSEPT9, CEA, CA19-9, and their combination were assessed via ROC curves. Results. mSEPT9 achieved an overall sensitivity and specificity of 72.94% and 81.97%, respectively, with an area under the curve (AUC) value of 0.826, which were higher than those of CEA (sensitivity: 43.96%; specificity: 96.72%; AUC: 0.789) and CA19-9 (sensitivity: 14.99%; specificity: 96.61%; AUC: 0.590). The combination of mSEPT9, CEA, and CA19-9 further improved sensitivity, specificity, and AUC value (sensitivity: 78.43%; specificity: 86.07%; AUC: 0.878), respectively. Notably, the mSEPT9 positivity rate was significantly associated with TNM stage, T stage, N stage, tumor size, vascular invasion, and nerve invasion among patients with CRC. A 100% correlation was observed between the positive results of the mSEPT9 test and recurrence or metastasis in patients after therapeutic intervention. Conclusion. Our findings suggest that mSEPT9 may represent a potential biomarker for the diagnosis and prognosis of CRC compared with CEA and CA19-9. Postoperative mSEPT9 status may represent the first noninvasive marker of CRC recurrence or metastasis.
Collapse
|
10
|
Waljee AK, Weinheimer-Haus EM, Abubakar A, Ngugi AK, Siwo GH, Kwakye G, Singal AG, Rao A, Saini SD, Read AJ, Baker JA, Balis U, Opio CK, Zhu J, Saleh MN. Artificial intelligence and machine learning for early detection and diagnosis of colorectal cancer in sub-Saharan Africa. Gut 2022; 71:1259-1265. [PMID: 35418482 PMCID: PMC9177787 DOI: 10.1136/gutjnl-2022-327211] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 03/17/2022] [Indexed: 01/05/2023]
Affiliation(s)
- Akbar K Waljee
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan, USA .,Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, Michigan, USA.,Center for Global Health Equity, University of Michigan, Ann Arbor, Michigan, USA.,Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor, Michigan, USA
| | - Eileen M Weinheimer-Haus
- Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, Michigan, USA,Center for Global Health Equity, University of Michigan, Ann Arbor, Michigan, USA,Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor, Michigan, USA
| | - Amina Abubakar
- Institute for Human Development, The Aga Khan University, Nairobi, Kenya
| | - Anthony K Ngugi
- Department of Population Health, The Aga Khan University, Nairobi, Kenya
| | - Geoffrey H Siwo
- Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, Michigan, USA,Center for Global Health Equity, University of Michigan, Ann Arbor, Michigan, USA,Eck Institute for Global Health, University of Notre Dame, South Bend, Indiana, USA,Center for Research Computing, University of Notre Dame, South Bend, Indiana, USA
| | - Gifty Kwakye
- Department of Surgery, Division of Colorectal Surgery, University of Michigan, Ann Arbor, Michigan, USA
| | - Amit G Singal
- Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA,Department of Internal Medicine, Division of Digestive and Liver Diseases, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Arvind Rao
- Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor, Michigan, USA,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA,Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA,Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA
| | - Sameer D Saini
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan, USA,Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, Michigan, USA
| | - Andrew J Read
- Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, Michigan, USA,Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor, Michigan, USA
| | - Jessica A Baker
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan, USA,Center for Global Health Equity, University of Michigan, Ann Arbor, Michigan, USA,Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor, Michigan, USA
| | - Ulysses Balis
- Department of Pathology, University of Michigan Health System, Ann Arbor, Michigan, USA
| | - Christopher K Opio
- Department of Medicine, Aga Khan University Hospital Nairobi, Nairobi, Kenya
| | - Ji Zhu
- Center for Global Health Equity, University of Michigan, Ann Arbor, Michigan, USA,Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor, Michigan, USA,Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Mansoor N Saleh
- O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham, Birmingham, Alabama, USA,Department of Hematology-Oncology, Aga Khan University Hospital Nairobi, Nairobi, Kenya
| |
Collapse
|
11
|
KARAYİĞİT A, ÖZDEMİR DB, DİZEN H, ÜNAL B, OZER İ, ULAŞ M. Role of red cell dstribution width in colorectal cancer diagnosis and prognosis. JOURNAL OF HEALTH SCIENCES AND MEDICINE 2022. [DOI: 10.32322/jhsm.1102938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
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
Collapse
Affiliation(s)
- Ahmet KARAYİĞİT
- ADANA ŞEHİR EĞİTİM VE ARAŞTIRMA HASTANESİ, CERRAHİ ONKOLOJİ KLİNİĞİ
| | | | | | - Bülent ÜNAL
- ISTANBUL AYDIN UNIVERSITY, SCHOOL OF MEDICINE
| | - İlter OZER
- ESKISEHIR OSMANGAZI UNIVERSITY, SCHOOL OF MEDICINE, DEPARTMENT OF SURGICAL MEDICAL SCIENCES, DEPARTMENT OF GENERAL SURGERY, SURGICAL ONCOLOGY (MEDICINE)
| | - Murat ULAŞ
- ESKISEHIR OSMANGAZI UNIVERSITY, SCHOOL OF MEDICINE, DEPARTMENT OF SURGICAL MEDICAL SCIENCES, DEPARTMENT OF GENERAL SURGERY, SURGICAL ONCOLOGY (MEDICINE)
| |
Collapse
|
12
|
Martino FK, Zanetti F, Fanton G, Amici G. Calcium, phosphate, and PTH circadian rhythm in peritoneal dialysis: seven cases and something to think about. J Nephrol 2022; 35:1539-1541. [PMID: 35349100 DOI: 10.1007/s40620-022-01312-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 03/19/2022] [Indexed: 11/27/2022]
Affiliation(s)
- Francesca K Martino
- UO Nephrology, Dialysis and Kidney Transplant, San Bortolo Hospital, Viale Rodolfi 37, 36100, Vicenza, Italy.
| | | | - Giulia Fanton
- International Renal Research Institute Vicenza, Vicenza, Italy
| | - Gianpaolo Amici
- UO Nephrology, and Dialysis AULSS 4 "Veneto orientale", San Dona' di Piave, Venezia, Italy
| |
Collapse
|
13
|
Role of Platelet to Lymphocyte Ratio and Red Cell Distribution Width in Predicting Postoperative Complications in Patients with Acute Mesenteric Ischemia. Ann Vasc Surg 2022; 84:298-304. [PMID: 35247535 DOI: 10.1016/j.avsg.2022.01.036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 12/20/2021] [Accepted: 01/26/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND The predictive values of the platelet to lymphocyte ratio (PLR) and red cell distribution width (RDW) have been demonstrated in different types of abdominal surgery. The aim of this study was to investigate the interest of the preoperative PLR and RDW as predictors of 30-day postoperative complications in patients with acute mesenteric ischemia (AMI). METHODS Clinical data of 105 AMI patients were retrospectively reviewed. Postoperative complications were evaluated by the Clavien-Dindo classification. The cutoff values for neutrophil to lymphocyte ratio (NLR), PLR, and RDW were determined by receiver operating characteristic curves. Univariate and multivariate analyses evaluating the risk factors for postoperative complications were performed. RESULTS In the univariate analyses, advanced age, female, anemia, high white blood cell (WBC), high PLR, high NLR, high RDW, Charlson comorbidity index (CCI) score ≥2, and bowel resection were associated with the postoperative complications. A multivariable analysis revealed that advanced age, high PLR, high RDW, and bowel resection were independent predictors of postoperative complications. CONCLUSIONS The PLR and RDW might play important roles in evaluation of the risk of postoperative complications in AMI patients. The preoperative PLR and RDW are simple and useful predictors of postoperative complications in AMI patients.
Collapse
|
14
|
High Red Cell Distribution Width Is Associated with Worse Prognosis in Early Colorectal Cancer after Curative Resection: A Propensity-Matched Analysis. Cancers (Basel) 2022; 14:cancers14040945. [PMID: 35205691 PMCID: PMC8870561 DOI: 10.3390/cancers14040945] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Revised: 02/09/2022] [Accepted: 02/09/2022] [Indexed: 12/11/2022] Open
Abstract
The red blood cell distribution width (RDW) is a simple and widely available parameter obtained from a complete blood cell count test and is usually used in the analysis of anemia. Recently, studies have discovered the association between RDW and the host inflammatory response of cancer patients. We aimed to determine the prognostic value of RDW in colorectal cancer (CRC) patients. 5315 total patients with stage I-II CRC from the Chang Gung Memorial Hospital between 2001 and 2018 were enrolled. The study cohort was divided into two groups using RDW = 13.8 as the cutoff value as determined by receiver operating curve. High RDW had worse overall survival (OS), disease-free survival (DFS), and cancer-specific survival (CSS), and was also independently related to older age, more advanced tumor stage, lower albumin level, lower hemoglobin level, and more co-morbidities including diabetes, hypertension, and chronic kidney disease. We performed a propensity-score matched analysis to balance the heterogeneity between the two groups and to reduce the influence of confounding factors that may have compromised the prognosis. High RDW remained a negative predictor of OS (HR = 1.49, 95% CI: 1.25-1.78), as well as DFS and CSS. In conclusion, this is the first report using propensity matching to demonstrate the relationship between RDW and the prognosis of early-stage CRC patients.
Collapse
|
15
|
Hamdan M, Haddad BI, Jabaiti M, Alryalat SA, Abdulelah AA, Alabed SH, Alabdullah TF, Aouant AN, Shahein HE, Dweik HI, Matar K, Alisi MS. Does Red Cell Distribution Width Predict Hip Fracture Mortality Among the Arab Population? A Single-Center Retrospective Cohort Study. Int J Gen Med 2022; 14:10195-10202. [PMID: 34992438 PMCID: PMC8710672 DOI: 10.2147/ijgm.s343538] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 12/14/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Hip fractures impose significant morbidity and mortality. Red cell distribution width (RDW) appears to be an emerging tool in predicting mortality following hip fractures. Several factors can influence the RDW value including genetic factors and ethnicity. The purpose of the study was to assess the relation between RDW level at admission and hip fracture mortality within 6 months among Arab/Middle East populations. METHODS We conducted a single-center retrospective cohort study including 549 patients (274 female and 275 male) diagnosed with a hip fracture undergoing surgery from February 2016 to December 2019. All included patients shared the same country of origin which is Arab Middle East country. Statistical analysis, including binary regression, was performed to assess the relationship between RDW and mortality within 6 months of admission. Other predictors of mortality following hip fracture surgery were also assessed. RESULTS The mean age was 76.42 (±9.19) years. Seventy (12.8%) of participants died within 6 months. No statistically significant association (P=0.053) between RDW level at admission and mortality within 6 months of surgery was found. Binary regression demonstrated that the only independent predictors of mortality were age (P= 0.003, odds ratio 1.048 with 95% CI 1.016 to 1.080) and male gender (P= 0.021, odds ratio 1.872 with 95% CI 1.100 to 3.185). CONCLUSION Although the previous studies reported that RDW is one of the predictors of mortality in hip fracture patients, our study found no relation in the Arab population. This finding may confirm the influence of genetic factors and ethnicity on RDW value. We recommend further large-scale multicenter studies to solidly establish the relationship between RDW and hip fracture mortality among the Arab/Middle East population.
Collapse
Affiliation(s)
- Mohammad Hamdan
- Department of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan
| | - Bassem I Haddad
- Department of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan
| | - Mohammad Jabaiti
- Department of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan
| | - Saif Aldeen Alryalat
- Department of Special Surgery, Division of Ophthalmology, School of Medicine, The University of Jordan, Amman, Jordan
| | | | | | | | - Alia N Aouant
- School of Medicine, The University of Jordan, Amman, Jordan
| | | | - Hadeel I Dweik
- School of Medicine, The University of Jordan, Amman, Jordan
| | - Khaled Matar
- School of Medicine, American University of the Caribbean, Cupecoy, Sint Maarten
| | - Mohammed S Alisi
- Department of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan.,Faculty of Medicine, Islamic University of Gaza, Gaza, Palestine
| |
Collapse
|
16
|
Druce P, Calanzani N, Snudden C, Milley K, Boscott R, Behiyat D, Martinez-Gutierrez J, Saji S, Oberoi J, Funston G, Messenger M, Walter FM, Emery J. Identifying Novel Biomarkers Ready for Evaluation in Low-Prevalence Populations for the Early Detection of Lower Gastrointestinal Cancers: A Systematic Review and Meta-Analysis. Adv Ther 2021; 38:3032-3065. [PMID: 33907946 PMCID: PMC8078393 DOI: 10.1007/s12325-021-01645-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 01/30/2021] [Indexed: 02/06/2023]
Abstract
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.
Collapse
Affiliation(s)
- Paige Druce
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC, Australia.
| | - Natalia Calanzani
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Claudia Snudden
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kristi Milley
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC, Australia
| | - Rachel Boscott
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Dawnya Behiyat
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Javiera Martinez-Gutierrez
- Department of Family Medicine, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Smiji Saji
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jasmeen Oberoi
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC, Australia
| | - Garth Funston
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Mike Messenger
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Fiona M Walter
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC, Australia
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jon Emery
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC, Australia
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| |
Collapse
|
17
|
Wen H, Shi W, Ge S, Li J, Zuo L, Liu M. [Value of prediction models for prognosis prediction of colorectal cancer: an analysis based on TCPA database]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2021; 41:439-446. [PMID: 33849837 DOI: 10.12122/j.issn.1673-4254.2021.03.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To assess the value of the combination of multiple proteins in predicting the prognosis of colorectal cancer (CRC) through bioinformatics analysis. OBJECTIVE The protein expression and clinical data were downloaded from TCPA database. Perl and R were used to screen the prognostic-related proteins, and through Cox analysis, the proteins that served as independent prognostic factors of CRC were identified to build the prediction model. Survival analyses were conducted for each of the proteins included in the prediction model and the risk score of the model, and risk curves was drawn for the risk score and the patients' survival status to verify the performance of the model. Independent prognosis analysis and ROC analysis were used to assess the value and advantages of the model in prognosis prediction. The interactions between the proteins included in the model and the differential expressions of the key genes related with the proteins were analyzed. OBJECTIVE Six proteins were screened for model construction. Compared with a single gene, the model showed much greater prognostic value for CRC. Independent prognostic analysis showed that the risk score of the prediction model was significantly related with the prognosis (P < 0.001), and the model could be used as an independent risk factor for prognostic assessment of the patients. ROC analysis showed that the model had good specificity and sensitivity for prognostic prediction (AUC=0.734). Protein interactions showed that BID, SLC1A5 and SRC_pY527 were significantly correlated with other proteins (P < 0.001), and SLC1A5 and SRC_pY527 had the most significant interactions with other proteins (P < 0.001). Except for those of INPP4B, the key genes related with the proteins in the prediction model had significant differential expressions at the mRNA level in CRC (P < 0.05). OBJECTIVE The prediction model constructed based on 6 proteins has good prognostic value for CRC. The proteins SLC1A5 and SRC_pY527 play key roles in the prognosis of CRC, and SRC_pY527 may regulate the occurrence and progression of CRC through the SRC/AKT/MAPK signal axis and thus may serve as a new therapeutic target of CRC.
Collapse
Affiliation(s)
- H Wen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - W Shi
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - S Ge
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - J Li
- Department of Laboratory Medicine, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - L Zuo
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - M Liu
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| |
Collapse
|
18
|
Lu S, Wang Y, Liu G, Wang L, Wu P, Li Y, Cheng C. Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study. J Orthop Surg Res 2021; 16:231. [PMID: 33785046 PMCID: PMC8008682 DOI: 10.1186/s13018-021-02376-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 03/21/2021] [Indexed: 02/07/2023] Open
Abstract
Background Osteosarcoma is most common malignant bone tumors. OS patients with metastasis have a poor prognosis. There are few tools to assess metastasis; we want to establish a nomogram to evaluate metastasis of osteosarcoma. Methods Data from the Surveillance, Epidemiology, and End Results (SEER) database of patients with osteosarcoma were retrieved for retrospective analysis. We identify risk factors through univariate logistic regression and multivariate logistic regression analysis. Based on the results of multivariate analysis, we established a nomogram to predict metastasis of patients with osteosarcoma and used the concordance index (C-index) and calibration curves to test models. Results One thousand fifteen cases were obtained from the SEER database. In the univariate and multivariate logistic regression analysis, age, primary site, grade, T stage, and surgery are risk factors. The nomogram for metastasis was constructed based on these factors. The C-index of the training and validation cohort was 0.754 and 0.716. This means that the nomogram predictions of patients with metastasis are correct, and the calibration plots also show the good prediction performance of the nomogram. Conclusion We successfully develop the nomogram which can reliably predict metastasis in different patients with osteosarcoma and it only required basic information of patients. The nomogram that we developed can help clinicians better predict the metastasis with OS and determine postoperative treatment strategies.
Collapse
Affiliation(s)
- Shouliang Lu
- NO.1 Orthopedics Department, Cangzhou Central Hospital, Cangzhou, Hebei Province, China.
| | - Yanhua Wang
- ECG Examination Department, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| | - Guangfei Liu
- NO.1 Orthopedics Department, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| | - Lu Wang
- NO.1 Orthopedics Department, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| | - Pengfei Wu
- NO.1 Orthopedics Department, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| | - Yong Li
- NO.1 Orthopedics Department, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| | - Cai Cheng
- NO.1 Orthopedics Department, Cangzhou Central Hospital, Cangzhou, Hebei Province, China
| |
Collapse
|
19
|
Song B, Shi P, Xiao J, Song Y, Zeng M, Cao Y, Zhu X. Utility of red cell distribution width as a diagnostic and prognostic marker in non-small cell lung cancer. Sci Rep 2020; 10:15717. [PMID: 32973271 PMCID: PMC7515922 DOI: 10.1038/s41598-020-72585-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 09/03/2020] [Indexed: 12/17/2022] Open
Abstract
An increasing number of studies have indicated that red blood cell distribution width (RDW) may be a novel biomarker for the diagnosis and prognosis of various malignancies. However, to date, data on the association of RDW with non-small cell lung cancer (NSCLC) are unclear. Our present study aimed to explore the value of RDW in NSCLC patients. A total of 338 NSCLC patients, 109 small cell lung cancer (SCLC) patients, and 302 healthy participants were retrospectively analyzed between January 2016 and December 2018. In the present study, we found that RDW was significantly increased in NSCLC patients. Receiver-operating characteristic (ROC) analysis showed that the area under the ROC curve (AUC) of RDW was 0.753 in discriminating NSCLC patients from healthy participants, the optimal cut-off value of RDW was 12.95, and the specificity and sensitivity were 76.33% and 76.16%, respectively. Further analysis found that RDW can enhance the diagnostic performance of Cyfra21-1 and NSE in discriminating NSCLC patients from healthy participants or SCLC patients. Among NSCLC patients, RDW was significantly correlated with TNM stage, T stage, N stage, M stage, and Cyfra21-1, indicating that RDW may be helpful for predicting the prognosis of NSCLC patients. Our findings suggest that RDW can be used as an auxiliary marker for the diagnosis and prognosis of NSCLC.
Collapse
Affiliation(s)
- Bin Song
- Department of Respiratory Medicine, Affiliated Mindong Hospital of Fujian Medical University, 89 Heshan Road, Fuan, 355000, Fujian, China
| | - Pengchong Shi
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, Fujian, China
| | - Jianhong Xiao
- Department of Respiratory Medicine, Affiliated Mindong Hospital of Fujian Medical University, 89 Heshan Road, Fuan, 355000, Fujian, China
| | - Yanfang Song
- Department of Clinical Laboratory, Affiliated People Hospital of Fujian University of Traditional Chinese Medicine, 602 Bayiqi Road, Fuzhou, 350001, Fujian, China
| | - Menglu Zeng
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, Fujian, China
| | - Yingping Cao
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
| | - Xianjin Zhu
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
| |
Collapse
|
20
|
Virdee PS, Marian IR, Mansouri A, Elhussein L, Kirtley S, Holt T, Birks J. The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal. Cancers (Basel) 2020; 12:E2348. [PMID: 32825191 PMCID: PMC7564785 DOI: 10.3390/cancers12092348] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 08/13/2020] [Accepted: 08/16/2020] [Indexed: 02/06/2023] Open
Abstract
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.
Collapse
Affiliation(s)
- Pradeep S. Virdee
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK; (I.R.M.); (A.M.); (L.E.); (S.K.); (J.B.)
| | - Ioana R. Marian
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK; (I.R.M.); (A.M.); (L.E.); (S.K.); (J.B.)
| | - Anita Mansouri
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK; (I.R.M.); (A.M.); (L.E.); (S.K.); (J.B.)
| | - Leena Elhussein
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK; (I.R.M.); (A.M.); (L.E.); (S.K.); (J.B.)
| | - Shona Kirtley
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK; (I.R.M.); (A.M.); (L.E.); (S.K.); (J.B.)
| | - Tim Holt
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK;
| | - Jacqueline Birks
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK; (I.R.M.); (A.M.); (L.E.); (S.K.); (J.B.)
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford OX3 9DU, UK
| |
Collapse
|
21
|
Prognostic value of red cell distribution width (RDW) in colorectal cancer. Results from a single-center cohort on 591 patients. Sci Rep 2020; 10:1072. [PMID: 31974409 PMCID: PMC6978334 DOI: 10.1038/s41598-020-57721-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 12/31/2019] [Indexed: 02/06/2023] Open
Abstract
Increasing evidence advocates the prognostic role of RDW in various tumours. We analysed 591 patients to assess whether RDW is a prognostic factor for overall (OS) and cancer-related survival (CRS) for patients with colorectal cancer (CRC). The data were retrieved from a retrospective database. The optimal cut-off value for RDW was set at 14.1%; accordingly, two groups were considered: those with a value equal or lower than 14.1% (L-RDW), and those with a value higher than 14.1% (H-RDW). The mean value of RDW rose from pT1 to pT4 tumours. H-RDW correlated with age above the mean, colonic location of the lesion, pT and TNM stage. Finally, H-RDW was significantly associated with the intent of surgery: almost 50% of patients who underwent a non-curative resection presented H-RDW, compared to 19.3% in R0 resections. OS was significantly lower in patients with H-RDW. CRS was similar in the two groups. Stratifying patients according to TNM stage worse OS was associated with H-RDW only in early stages, whereas there was no difference for stages II-IV. Multivariate analysis confirmed that H-RDW was not an independent prognostic factor. Although H-RDW correlated with some negative clinical-pathological factors, it did not seem to independently influence OS and CRS.
Collapse
|
22
|
Virdee PS, Kirtley S, Elhussein L, Watkinson PJ, Holt TA, Birks J. Components of the full blood count as risk factors for colorectal cancer detection: a systematic review protocol. BMJ Open 2019; 9:e032759. [PMID: 31848170 PMCID: PMC6937079 DOI: 10.1136/bmjopen-2019-032759] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 11/08/2019] [Accepted: 11/11/2019] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Colorectal cancer is the fourth most common type of cancer and the second most common cause of cancer-related deaths in the UK. The full blood count (FBC) is a blood test that may play a role in early detection of the disease. Previous studies have aimed to identify how levels of individual components, such as haemoglobin, can be used to assist the diagnosis. We aim to systematically review studies to identify whether components of the FBC are risk factors for diagnosis of colorectal cancer, critically appraise the methods used to assess the association and assess performance of the components. METHODS AND ANALYSIS The MEDLINE (via OVID), EMBASE (via OVID), CINAHL (via EBSCOhost) and Web of Science databases will be searched to identify studies reporting the association between the levels of at least one FBC component and the risk of a future diagnosis of colorectal cancer in undiagnosed individuals. Clincialtrials.gov and the WHO registry will be searched to identify relevant ongoing research. Search terms will include relevant Medical Subject Headings and Emtree headings, and free-text terms relating to FBC, colorectal cancer and diagnosis. No date or language restrictions will be applied. Two reviewers will independently identify the studies for inclusion and perform data extraction. Time intervals between the blood tests and diagnosis will form the subgroups for analysis. ETHICS AND DISSEMINATION There is no direct patient involvement and only published articles will be reviewed; no ethical approval is required. Results from this review will set a foundation for intended future work on developing a new risk score for early detection of colorectal cancer, derived using FBC data. This systematic review will also provide guidance on the analysis of time to diagnosis. The model will be freely available to UK primary care practices. PROSPERO REGISTRATION NUMBER CRD42019134400.
Collapse
Affiliation(s)
- Pradeep S Virdee
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Shona Kirtley
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Leena Elhussein
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Peter J Watkinson
- Kadoorie Centre for Critical Care Research and Education, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Tim A Holt
- Department of Primary Care Health Sciences, Oxford University, Oxford, UK
| | - Jacqueline Birks
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| |
Collapse
|
23
|
Liu J, Chen S, Ye X. The effect of red blood cell transfusion on plasma hepcidin and growth differentiation factor 15 in gastric cancer patients: a prospective study. ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:466. [PMID: 31700902 DOI: 10.21037/atm.2019.08.33] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Background Hepcidin and growth differentiation factor 15 (GDF-15) have been reported to be highly expressed in various cancers. Serum hepcidin and GDF-15 levels were demonstrated to be potential prognostic markers in cancers. This study aims to evaluate the effect of red blood cell (RBC) transfusion on plasma hepcidin and GDF-15 in gastric cancer patients. Methods In this prospective study, 40 patients with gastric cancer were eligible for this study. Peripheral blood samples were obtained before and within 24 h after RBC transfusion. A routine blood test was performed before transfusion and within 24 h post-transfusion. Plasma hepcidin, GDF-15, interleukin 6 (IL-6) and erythropoietin were determined by ELISA. Results In patients with metastasis, plasma hepcidin (P=0.02), and GDF-15 (P=0.01) levels were higher than without metastasis. Plasma hepcidin was increased after RBC transfusion (P=0.001), while plasma erythropoietin was decreased after transfusion (P=0.03). However, RBC transfusion did not affect plasma GDF-15 (P=0.32) and IL-6 (P=0.12). The effect of RBC transfusion on variables did not differ between metastatic and non-metastatic patients. The mean percentage change of hepcidin in transfusion volume 4 unit (U) was more than 2 U. Conclusions RBC transfusion could increase plasma hepcidin and have no effect on plasma GDF-15 in gastric patients.
Collapse
Affiliation(s)
- Jingfu Liu
- Department of Blood Transfusion, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350014, China
| | - Shan Chen
- Department of Blood Transfusion, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350014, China
| | - Xianren Ye
- Department of Blood Transfusion, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350014, China.,Fujian Provincial Key Laboratory of Tumor Biotherapy, Fuzhou 350014, China
| |
Collapse
|
24
|
Evaluation of Red Cell Distribution Width to Lymphocyte Ratio as Potential Biomarker for Detection of Colorectal Cancer. BIOMED RESEARCH INTERNATIONAL 2019; 2019:9852782. [PMID: 31467924 PMCID: PMC6699340 DOI: 10.1155/2019/9852782] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 05/13/2019] [Indexed: 12/29/2022]
Abstract
Background and Aim Colorectal cancer (CRC) is the third most lethal cancer globally. This study sought to determine the feasibility of using red cell distribution width-to-lymphocyte ratio (RLR) as a tool to facilitate CRC detection. Methods Seventy-eight healthy controls, 162 patients diagnosed with CRC, and 94 patients with colorectal polyps (CP) from June 2017 to October 2018 were retrospectively reviewed. Clinical data were obtained to analyze preoperative RLR level, and receiver operating characteristic (ROC) curve analysis was performed to estimate the potential role of RLR as a CRC biomarker. Results RLR was higher in patients with CRC than in healthy participants (P < 0.05). ROC analysis indicated that combined detection of RLR and CEA appears to be a more effective marker to distinguish among controls, CP, and CRC patients, yielding 56% sensitivity and 90% specificity. RLR levels were significantly greater in those who had more advanced TNM stages (P < 0.05) and patients with distant metastasis stages (P < 0.05). Conclusions RLR might serve as a potential biomarker for CRC diagnosis.
Collapse
|