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Cîmpeanu RC, Boldeanu MV, Ahrițculesei RV, Ciobanu AE, Cristescu AM, Forțofoiu D, Siloși I, Pirici DN, Cazacu SM, Boldeanu L, Vere CC. Correlation between Neurotransmitters (Dopamine, Epinephrine, Norepinephrine, Serotonin), Prognostic Nutritional Index, Glasgow Prognostic Score, Systemic Inflammatory Response Markers, and TNM Staging in a Cohort of Colorectal Neuroendocrine Tumor Patients. Int J Mol Sci 2024; 25:6977. [PMID: 39000088 PMCID: PMC11241815 DOI: 10.3390/ijms25136977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Revised: 06/20/2024] [Accepted: 06/22/2024] [Indexed: 07/16/2024] Open
Abstract
Neuroendocrine tumors are uncommon in the gastrointestinal system but can develop in the majority of the body's epithelial organs. Our goal was to examine the presence and clinical application of serum dopamine (DA), serotonin (ST), norepinephrine (NE), and epinephrine (EPI), in addition to determining the significance of the Prognostic Nutritional Index (PNI), Glasgow Prognostic Score (GPS), and systemic inflammatory response (SIR) markers as a prognostic factor for patients with colorectal neuroendocrine tumors (CR-NETs), in various tumor-node-metastasis (TNM) stages. We also wanted to identify the possible connection between them. This study included 25 consecutive patients who were diagnosed with CR-NETs and a control group consisting of 60 patients with newly diagnosed colorectal cancer (CRC). We used the Enzyme-Linked Immunosorbent Assay (ELISA) technique. This study revealed that CR-NET patients showed significantly higher serum levels of DA compared to CRC patients. We showed that serum DA was present in the early stages of CR-NETs, with increasing levels as we advanced through the TNM stages. Moreover, we found a close relationship between the levels of DA and the inflammation and nutritional status of the CR-NET patients in this study. CR-NET patients from the PNI < 47.00 subgroup had a higher level of DA than those from the PNI ≥ 47.00 subgroup. Pearson's correlation analysis revealed correlations between DA, PNI, and the neutrophil/lymphocyte ratio (NLR) and the platelet/lymphocyte ratio (PLR). Both hematological indices were negatively correlated with albumin (ALB). Our investigation's findings relating to the PNI, GPS, SIR, and DA indicate that these tools can be markers of nutritional and systemic inflammatory status, are simple to use, and are repeatable. Further research on this topic could provide valuable insights into which biomarkers to incorporate into clinical practice for the management of CR-NET patients.
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Affiliation(s)
- Radu Cristian Cîmpeanu
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (R.C.C.); (R.-V.A.); (A.E.C.); (A.-M.C.); (D.F.)
| | - Mihail Virgil Boldeanu
- Department of Immunology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Roxana-Viorela Ahrițculesei
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (R.C.C.); (R.-V.A.); (A.E.C.); (A.-M.C.); (D.F.)
| | - Alina Elena Ciobanu
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (R.C.C.); (R.-V.A.); (A.E.C.); (A.-M.C.); (D.F.)
| | - Anda-Mihaela Cristescu
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (R.C.C.); (R.-V.A.); (A.E.C.); (A.-M.C.); (D.F.)
| | - Dragoș Forțofoiu
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (R.C.C.); (R.-V.A.); (A.E.C.); (A.-M.C.); (D.F.)
| | - Isabela Siloși
- Department of Immunology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Daniel-Nicolae Pirici
- Department of Histopathology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Sergiu-Marian Cazacu
- Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (S.-M.C.); (C.C.V.)
| | - Lidia Boldeanu
- Department of Microbiology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Cristin Constantin Vere
- Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (S.-M.C.); (C.C.V.)
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Gursoy V, Sadri S, Kucukelyas HD, Hunutlu FC, Pinar IE, Yegen ZS, Alkış N, Ersal T, Ali R, Ozkocaman V, Ozkalemkas F. HALP score as a novel prognostic factor for patients with myelodysplastic syndromes. Sci Rep 2024; 14:13843. [PMID: 38879594 PMCID: PMC11180126 DOI: 10.1038/s41598-024-64166-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 06/05/2024] [Indexed: 06/19/2024] Open
Abstract
Myelodysplastic syndrome (MDS) is a heterogeneous spectrum of clonal hematopoietic disorders with varying degrees of cytopenia and morphologic dysplasia. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score is a prognostic marker in several types of malignant tumors. Prognostic value of HALP score remains unclear for MDS. To determine the prognostic value of baseline HALP score in MDS. We retrospectively analyzed data from 130 newly diagnosed MDS patients evaluated and classified under HALP score. By the receiver operating characteristic (ROC) analysis, the optimal cut-off value of HALP was > 67.5 in predicting mortality. Patients were divided into two groups: with low and high HALP scores, and the characteristics were compared between both groups. Patients' median age was 68 (19-84) years, and 79 (60.8%) were male. Higher HALP score was detected in MDS patients with intermediate-risk under IPSS score, and at high and very high risks under IPSS-R score, and those receiving azacitidine (AZA) treatment. The survival rates of those with a HALP score > 67.5 were significantly lower than those with low HALP score at 17.77 ± 3.98 (median ± SE) (p < 0.001). The 3-, 5- and 10-years survival rates of individuals with HALP scores > 67.5 were found as 25, 18, and 11%, respectively. Median overall survival (OS) was also determined as 33.10 (95% CI 16.34-49.88) months by the Kaplan-Meier method. HALP score has shown an ability to be a useful prognostic biomarker in various cancers, including MDS. The meaningful cut-off value of HALP is disease-specific and largely study-specific. High HALP score is associated with unfavorable clinicopathological characteristics. Also, it may be useful in predicting OS and mortality of MDS.
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Affiliation(s)
- Vildan Gursoy
- Department of Hematology, Bursa City Hospital, Bursa, Turkey.
| | - Sevil Sadri
- Department of Hematology, Bursa City Hospital, Bursa, Turkey
| | | | | | | | | | - Nihan Alkış
- Department of Hematology, Bursa City Hospital, Bursa, Turkey
| | - Tuba Ersal
- Department of Hematology, Uludag University Medical Faculty, Bursa, Turkey
| | - Ridvan Ali
- Department of Hematology, Uludag University Medical Faculty, Bursa, Turkey
| | - Vildan Ozkocaman
- Department of Hematology, Uludag University Medical Faculty, Bursa, Turkey
| | - Fahir Ozkalemkas
- Department of Hematology, Uludag University Medical Faculty, Bursa, Turkey
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Ari A, Sevik H, Sevinc MM, Tatar C, Buyukasik K, Surel AA, Idiz UO. Predicting the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Using Soluble Immune Checkpoints. Cancer Biother Radiopharm 2024; 39:247-254. [PMID: 38010745 DOI: 10.1089/cbr.2023.0134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023] Open
Abstract
Introduction: Personalizing neoadjuvant therapy for locally advanced rectal cancer (LARC) requires identifying biomarkers that predict treatment response. This study evaluates soluble immune checkpoints (sICPs) as predictive markers for neoadjuvant treatment response in LARC patients located in the middle and lower rectum. Materials and Methods: This prospective study included patients diagnosed with clinical stage T3 or T4 rectal cancer (RC) based on pelvic magnetic resonance imaging, with or without pelvic lymph node involvement. The modified Ryan scoring system was used to assess the response to neoadjuvant chemoradiotherapy (nCRT). Blood samples were collected from all RC patients before initiating nCRT. Various sICPs (sCD25, 4-1BB, B7.2, free active TGF-β1, CTLA-4, PD-L1, PD-1, Tim-3, LAG-3, galectin-9), along with age, gender, stage, blood cell counts, and biochemical variables, were recorded and compared based on tumor regression grade (TRG). Results: Among 38 participants, lymphocyte count was higher, and platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and platelet count were lower in patients with complete/near-complete response (TRG 0/1). In addition, TRG 0/1 patients had significantly lower levels of soluble galectin-9 than TRG 2/3 patients. Furthermore, platelet count was the only parameter that showed a significant difference among the three groups (TRG 0/1, TRG 2, and TRG 3). PLR demonstrated the highest sensitivity and specificity, with >80% for both measures. Conclusions: Lymphocyte count, PLR, NLR, platelet count, and galectin-9 may help predict favorable neoadjuvant treatment response in LARC patients, although without providing a definitive outcome. Personalized therapy based on these markers could enhance treatment decision making in LARC management.
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Affiliation(s)
- Aziz Ari
- Department of General Surgery, Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Husnu Sevik
- Department of General Surgery, Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Mert Mahsuni Sevinc
- Department of General Surgery, Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Cihad Tatar
- Department of General Surgery, Acibadem Taksim Hospital, Istanbul, Turkey
| | - Kenan Buyukasik
- Department of General Surgery, Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Aziz Ahmet Surel
- Department of General Surgery, Ankara Bilkent City Hospital, Cankaya, Turkey
| | - Ufuk Oguz Idiz
- Department of General Surgery, Istanbul Training and Research Hospital, Istanbul, Turkey
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Zhang T, Miao YC. Prognostic evaluation of preoperative systemic immune inflammatory index in patients with colorectal cancer. Front Oncol 2023; 13:1260796. [PMID: 38188293 PMCID: PMC10768044 DOI: 10.3389/fonc.2023.1260796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/25/2023] [Indexed: 01/09/2024] Open
Abstract
Objective To investigate the impact of preoperative systemic immune inflammatory index (SII) on the clinical prognosis of patients undergoing colorectal cancer (CRC) surgery. Methods One hundred and sixty CRC patients who underwent surgical treatment in our gastrointestinal surgery department from January 2019 to May 2023 were collected. ROC curves were applied to determine the sensitivity and specificity of SII, determine the optimal cut-off value into low SII and high SII groups, compare the clinicopathological data of SII patients in the two groups, and analyze the postoperative survival of patients in the two groups using Kaplan-Meier and Log-rank methods. Univariate and multifactor COX proportional risk regression models were used to analyze clinical prognostic factors. Results The ROC curve showed that the area under the curve of SII for the evaluation of OS in CRC patients was 0.859, and the best cut-off value was 513.53. There was statistical significance (P < 0.05) in terms of tissue grading and diabetes mellitus in both groups. The Kaplan-Meier survival curves showed that the overall survival rates of the SII<513.53 group and the SII≥513.53 group were 50.88% (29/57) and 32.04% (33/103), and the overall survival rate of the SII<513.53 group was significantly higher than that of the SII≥513.53 group, and the difference was statistically significance (χ2 = 8.375, P=0.004). COX proportional risk regression showed that TNM stage, lymph node metastases, anastomotic fistula and SII were independent risk factors affecting postoperative survival in patients with CRC. Conclusion Preoperative SII is an independent prognostic factor for CRC, which is simple, convenient, and non-invasive, and can be used to predict the prognosis of CRC patients.
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Affiliation(s)
| | - Yong chang Miao
- Department of Gastrointestinal Surgery, Bengbu Medical College Lianyungang Clinical College, The Second People’s Hospital of Lianyungang, Lianyungang, Lianyungang, Jiangsu, China
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Lai YH, Chang YT, Chang YJ, Tsai JT, Li MH, Lin JC. Predictive Value of the Interaction between CEA and Hemoglobin in Neoadjuvant CCRT Outcomes in Rectal Cancer Patients. J Clin Med 2023; 12:7690. [PMID: 38137759 PMCID: PMC10744245 DOI: 10.3390/jcm12247690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 12/01/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
The adoption of neoadjuvant concurrent chemoradiotherapy (CCRT) has reshaped the therapeutic landscape, but response prediction remains challenging. This study investigates the interaction between pre-CCRT carcinoembryonic antigen (CEA) and post-CCRT hemoglobin (Hb) levels in predicting the response of locally advanced rectal cancer (LARC) to CCRT. Retrospective data from 93 rectal cancer patients receiving neoadjuvant CCRT were analyzed. Univariate analyses assessed clinical factors associated with tumor regression grade (TRG) and T-stage outcomes. Machine learning identified predictive biomarkers. Interaction effects between CEA and Hb were explored through subgroup analyses. Post-CCRT Hb varied between pre-CCRT CEA groups. The interaction between pre-CCRT CEA and post-CCRT Hb influenced TRG. Males with normal pre-CCRT CEA and anemia showed better treatment responses. Females with elevated pre-CCRT CEA and post-CCRT anemia exhibited poorer responses. The interaction effect between them was significant, indicating that their relationship with TRG was not additive. Inflammatory biomarkers, WBC, neutrophil count, and post-CCRT platelet level correlated with CCRT response. Contrasting with previous findings, anemia was a predictor of better treatment response in males with normal pre-CCRT CEA. The interaction between pre-CCRT CEA and post-CCRT Hb levels predicts the response of LARC to CCRT. CEA, Hb, and sex should be considered when assessing treatment response. Inflammatory biomarkers contribute to response prediction. Understanding these complex relationships can enhance personalized treatment approaches in rectal cancer patients.
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Affiliation(s)
- Yi-Hsuan Lai
- Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan; (Y.-H.L.); (J.-T.T.); (M.-H.L.)
| | - Yu-Tien Chang
- School of Public Health, National Defense Medical Center, Taipei 114201, Taiwan;
| | - Yu-Jia Chang
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan;
| | - Jo-Ting Tsai
- Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan; (Y.-H.L.); (J.-T.T.); (M.-H.L.)
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan;
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan
| | - Ming-Hsien Li
- Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan; (Y.-H.L.); (J.-T.T.); (M.-H.L.)
| | - Jang-Chun Lin
- Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan; (Y.-H.L.); (J.-T.T.); (M.-H.L.)
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan
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Yang Y, Liang Q, Chen Y, Cao Y, Zhuo Q, Liu B, Wang S. Aldehyde dehydrogenase 2 gene rs671 G>A polymorphism is associated with an increased risk of digestive tract cancer. J Int Med Res 2023; 51:3000605231206257. [PMID: 37871625 PMCID: PMC10594971 DOI: 10.1177/03000605231206257] [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: 04/15/2023] [Accepted: 09/21/2023] [Indexed: 10/25/2023] Open
Abstract
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.
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Affiliation(s)
- Yang Yang
- Department of Gastroenterology, Meizhou People's Hospital, Meizhou, China
| | - Qun Liang
- Department of Gastroenterology, Meizhou People's Hospital, Meizhou, China
| | - Yijin Chen
- Department of Gastroenterology, Meizhou People's Hospital, Meizhou, China
| | - Yu Cao
- Department of Gastrointestinal Surgery, Meizhou People's Hospital, Meizhou, China
| | - Qingqing Zhuo
- Department of Gastroenterology, Meizhou People's Hospital, Meizhou, China
| | - Boying Liu
- Department of Gastroenterology, Meizhou People's Hospital, Meizhou, China
| | - Shengbing Wang
- Department of Gastroenterology, Meizhou People's Hospital, Meizhou, China
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Gao L, Yuan C, Fu J, Tian T, Huang H, Zhang L, Li D, Liu Y, Meng S, Liu Y, Zhang Y, Xu J, Jia C, Zhang D, Zheng T, Fu Q, Tan S, Lan L, Yang C, Zhao Y, Liu Y. Prognostic scoring system based on eosinophil- and basophil-related markers for predicting the prognosis of patients with stage II and stage III colorectal cancer: a retrospective cohort study. Front Oncol 2023; 13:1182944. [PMID: 37519795 PMCID: PMC10375403 DOI: 10.3389/fonc.2023.1182944] [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: 03/31/2023] [Accepted: 06/26/2023] [Indexed: 08/01/2023] Open
Abstract
Background Systemic inflammation is associated with the prognosis of colorectal cancer (CRC). The current study aimed to construct a comprehensively inflammatory prognostic scoring system named risk score (RS) based on eosinophil- and basophil-related markers and assess its prognostic value in patients with stage II and stage III CRC. Patients and methods A total of 3,986 patients were enrolled from January 2007 to December 2013. The last follow-up time was January 2019. They were randomly assigned to the training set and testing set in a 3:2 split ratio. Least absolute shrinkage and selection operator (LASSO)-Cox regression analysis was performed to select the optimal prognostic factors in the construction of RS. The Kaplan-Meier curve, time-dependent receiver operating characteristic (ROC), and Cox analysis were used to evaluate the association between RS and overall survival (OS). Results In the training set, all inflammatory markers showed certain prognostic values. Based on LASSO-Cox analysis, nine markers were integrated to construct RS. The Kaplan-Meier curve showed that a higher RS (RS > 0) had a significantly worse prognosis (log-rank p< 0.0001). RS (>0) remained an independent prognostic factor for OS (hazard ratio (HR): 1.70, 95% confidence interval (CI), 1.43-2.03, p< 0.001). The prognostic value of RS was validated in the entire cohort. Time-dependent ROC analysis showed that RS had a stable prognostic effect throughout the follow-up times and could enhance the prognostic ability of the stage by combination. Nomogram was established based on RS and clinicopathological factors for predicting OS in the training set and validated in the testing set. The area under the curve (AUC) values of the 3-year OS in the training and testing sets were 0.748 and 0.720, respectively. The nomogram had a satisfactory predictive accuracy and had better clinical application value than the tumor stage alone. Conclusions RS might be an independent prognostic factor for OS in patients with stage II and III CRC, which is helpful for risk stratification of patients. Additionally, the nomogram might be used for personalized prediction and might contribute to formulating a better clinical treatment plan.
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Affiliation(s)
- Lijing Gao
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Chao Yuan
- Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Jinming Fu
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Tian Tian
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Hao Huang
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Lei Zhang
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Dapeng Li
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Yupeng Liu
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Shuhan Meng
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Ying Liu
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Yuanyuan Zhang
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Jing Xu
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Chenyang Jia
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Ding Zhang
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Ting Zheng
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Qingzhen Fu
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Shiheng Tan
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Li Lan
- Division of Chronic and Non-communicable Diseases, Harbin Center for Diseases Control and Prevention, Harbin, Heilongjiang, China
| | - Chao Yang
- Division of Chronic and Non-communicable Diseases, Harbin Center for Diseases Control and Prevention, Harbin, Heilongjiang, China
| | - Yashuang Zhao
- Department of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China
| | - Yanlong Liu
- Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
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Dai T, Wu D, Tang J, Liu Z, Zhang M. Construction and validation of a predictive model for the risk of three-month-postoperative malnutrition in patients with gastric cancer: a retrospective case-control study. J Gastrointest Oncol 2023; 14:128-145. [PMID: 36915453 PMCID: PMC10007955 DOI: 10.21037/jgo-22-1307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 02/02/2023] [Indexed: 02/17/2023] Open
Abstract
Background This study analyzed both the influencing factors of malnutrition in patients with gastric cancer and established a multi-dimensional risk model to predict postoperative malnutrition three months after surgery. Methods The clinical data of gastric cancer patients hospitalized for the first time and receiving laparoscopic surgery in the general surgery department of our hospital were retrospectively analyzed through the hospital information system and divided into a training set and a validation set in the ratio of 7:3. Nutritional status was assessed using the Patient Generated Subjective Global Assessment scale and follow-up records three months after surgery. Patients were divided into a non-malnutrition group and a malnutrition group, and a risk prediction model was established and displayed in the form of a nomogram. Results A total of 344 patients were included, with 242 in the training and 102 in the validation set. Tumor node metastasis stage (TNM Stage, P=0.020), cardiac function grading (CFG, P=0.013), prealbumin (PAB, P<0.001), neutrophil-to-lymphocyte ratio (NLR, P=0.027), and enteral nutrition within 48 hours post-operation (EN 48 h post-op, P=0.025) were independent risk factors. We established a prediction model with the above variables and displayed it via a nomogram, then verified its effectiveness through internal and external verification. This revealed a C-index of 0.84 (95% CI: 0.79-0.89), and the area under curve (AUC) areas of 0.840 (training set) and 0.854 (validation set), which was better than the nutritional risk screening 2002 (NRS2002) scale. The calibration curve brier scores were 0.159 and 0.195, and the Hosmer-Lemeshow test chi-square values were 14.070 and 1.989 (P>0.05). The decision curve analysis (DCA) of the training set model indicated the clinical applicability was good and within the threshold probability range of 10%-85%, which was also better than NRS2002. Conclusions A clinical prediction model including multi-dimensional variables was established based on independent risk factors of malnutrition three months after gastrectomy in patients with gastric cancer. The model yields greater prediction accuracy of the risk of three-month-postoperative malnutrition in patients with gastric cancer, helps screen high-risk patients, formulates targeted nutritional prescriptions early, and improves the overall prognosis of patients.
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Affiliation(s)
- Tian Dai
- Department of General Surgery (Ward one), the Second Hospital of Anhui Medical University, Hefei, China
| | - Dequan Wu
- Nursing Department, the Second Hospital of Anhui Medical University, Hefei, China
| | - Jingjing Tang
- Department of General Surgery (Ward one), the Second Hospital of Anhui Medical University, Hefei, China
| | - Zeyan Liu
- Emergency Internal Medicine, the Second Hospital of Anhui Medical University, Hefei, China
| | - Miao Zhang
- Nursing Department, the Second Hospital of Anhui Medical University, Hefei, China
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The Pre-Treatment Platelet-to-Lymphocyte Ratio as a Prognostic Factor for Loco-Regional Control in Locally Advanced Rectal Cancer. Diagnostics (Basel) 2023; 13:diagnostics13040679. [PMID: 36832166 PMCID: PMC9955057 DOI: 10.3390/diagnostics13040679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 02/03/2023] [Accepted: 02/09/2023] [Indexed: 02/15/2023] Open
Abstract
Chronic inflammatory reactions have been proven to represent relevant mechanisms for the development and progression of cancer in numerous tumor entities. There is evidence that the platelet-to-lymphocyte ratio (PLR) is associated with the prognostic outcome. In rectal cancer, the prognostic role of this parameter has not yet been conclusively clarified. The aim of this study was to further clarify the prognostic significance of the pre-treatment PLR in patients with locally advanced rectal cancer (LARC). In the present study, 603 patients with LARC, who were treated with neoadjuvant chemoradiotherapy (nCRT) and subsequent surgical resection between 2004 and 2019, were retrospectively evaluated. The influence of clinico-pathological and laboratory factors on locoregional control (LC), metastasis-free survival (MFS) and overall survival (OS) was investigated. In univariate analyses, high PLR was significantly associated with worse LC (p = 0.017) and OS (p = 0.008). In multivariate analyses, the PLR remained an independent parameter for the LC (HR = 1.005, 95% CI: 1.000-1.009, p = 0.050). Pre-treatment lactate dehydrogenase (LDH) (HR: 1.005 95% CI:1.002-1.008; p = 0.001) and carcinoembryonic antigen (CEA) (HR: 1.006, 95% CI:1.003-1.009; p < 0.001) were independent predictors for MFS; additionally, age (HR: 1.052, 95% CI:1.023-1.081; p < 0.001), LDH (HR: 1.003, 95% CI:1.000-1.007; p = 0.029) and CEA (HR: 1.006, 95% CI:1.003-1.009; p < 0.001) independently predicted OS. Pre-treatment PLR before nCRT is an independent prognostic factor for LC in LARC, which could be used to further individualize tumor treatment.
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Misiewicz A, Dymicka-Piekarska V. Fashionable, but What is Their Real Clinical Usefulness? NLR, LMR, and PLR as a Promising Indicator in Colorectal Cancer Prognosis: A Systematic Review. J Inflamm Res 2023; 16:69-81. [PMID: 36643953 PMCID: PMC9833126 DOI: 10.2147/jir.s391932] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 12/16/2022] [Indexed: 01/09/2023] Open
Abstract
The link between inflammation and cancer is still an attractive subject of many studies because systemic inflammatory response has been proven to play a pivotal role in cancer progression and metastasis. The strongest relationship between chronic inflammation and cancer development is observed in colorectal cancer (CRC). The evaluation of ratios derived from the routinely performed inflammatory biomarkers shows limited performances and limited clinical utility when individually used as prognostic factors for patients with CRC. In this review, we would like to summarize the latest knowledge about the diagnostic utility of systemic inflammatory ratios: neutrophil/lymphocyte (NLR), lymphocyte/monocyte (LMR), and platelet/lymphocyte (PLR) in CRC. We focused on the papers that assessed the diagnostic utility of blood cell parameters on the basis of the area under the ROC curve published in the recent 6 years. Identification of biomarkers that are significantly associated with prognostic in cancer would help the selection of patients with a high risk of poor outcomes.
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Affiliation(s)
| | - Violetta Dymicka-Piekarska
- Department of Clinical Laboratory Diagnostics, Medical University of Bialystok, Białystok, Poland,Correspondence: Violetta Dymicka-Piekarska, Department of Clinical Laboratory Diagnostics, Medical University of Bialystok, Waszyngtona Str. 15, Bialystok, 15-276, Poland, Tel +48 85 746 85 84, Email
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11
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Muacevic A, Adler JR. A Novel Prognostic Index for Metastatic Colon Cancer: The Prognostic Immune Nutritional Index. Cureus 2023; 15:e33808. [PMID: 36819360 PMCID: PMC9931376 DOI: 10.7759/cureus.33808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/15/2023] [Indexed: 01/18/2023] Open
Abstract
Objective Systemic inflammation and nutrition are associated with survival outcomes in metastatic colon cancer (mCC) patients. A new and strong prognostic marker named the Prognostic Immune Nutritional Index (PINI) was proposed as the best marker for outcomes in metastatic colon cancer patients. This study aimed to evaluate the prognostic significance of PINI in mCC patients. Methods The data of 190 patients who were admitted to our center and diagnosed with mCC between 2010 and 2020 abiding by our inclusion criteria were reviewed retrospectively. Receiver operating characteristic (ROC) analysis was used to identify the optimum cutoff value of PINI for overall survival (OS). Results The mean age of the participants was 62.64±11.99 years. The median follow-up time was 25.81 months. According to PINI, the median OS in patients who had PINI<3 was 22.70 months (95% confidence interval (CI): 16.05-29.35), and the median OS in patients who had PINI≥3 was 38.83 months (95% CI: 26.98-37.01) (p<0.001). PINI score lower than 3 was an independent prognostic indicator in multivariate analysis. Conclusions PINI was discovered to be an independent prognostic factor in metastatic colorectal cancer. We believe that PINI, which can be calculated using a simple formula, will provide clinicians with important clues when deciding on individual treatment.
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12
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Zhang P, Zhang T, Chen D, Gong L, Sun M. Prognosis and Novel Drug Targets for Key lncRNAs of Epigenetic Modification in Colorectal Cancer. Mediators Inflamm 2023; 2023:6632205. [PMID: 37091904 PMCID: PMC10116225 DOI: 10.1155/2023/6632205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 12/20/2022] [Accepted: 03/20/2023] [Indexed: 04/25/2023] Open
Abstract
Background Colorectal cancer (CRC) has been the 3rd most commonly malignant tumor of the gastrointestinal tract in the world. 5-Methylcytosine (m5C) and long noncoding RNAs (lncRNAs) have an essential role in predicting the prognosis and immune response for CRC patients. Therefore, we built a m5C-related lncRNA (m5CRlncRNA) model to investigate the prognosis and treatment methods for CRC patients. Methods Firstly, we secured the transcriptome and clinical data for CRC from The Cancer Genome Atlas (TCGA). Then, m5CRlncRNAs were recognized by coexpression analysis. Then, univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analyses were utilized to build m5C-related prognostic characteristics. Besides, Kaplan-Meier analysis, ROC, PCA, C-index, enrichment analysis, and nomogram were performed to investigate the model. Additionally, immunotherapy responses and antitumor medicines were explored for CRC patients. Results A total of 8 m5C-related lncRNAs (AC093157.1, LINC00513, AC025171.4, AC090948.2, ZEB1-AS1, AC109449.1, AC009041.3, and LINC02516) were adopted to construct a risk model to investigate survival and prognosis for CRC patients. CRC samples were separated into low- and high-risk groups, with the latter having a worse prognosis. The m5C-related lncRNA model helps us to better distinguish immunotherapy responses and IC50 of antitumor medicines in different groups of CRC patients. Conclusion The research may give new perspectives on tailored therapy approaches as well as novel theories for forecasting the prognosis of CRC patients.
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Affiliation(s)
- Peng Zhang
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Tingting Zhang
- Department of Clinical Oncology, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Denggang Chen
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Li Gong
- Department of Endocrinology, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Min Sun
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
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13
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Xie H, Wei L, Liu M, Liang Y, Yuan G, Gao S, Wang Q, Lin X, Tang S, Gan J. Neutrophil-albumin ratio as a biomarker for postoperative complications and long-term prognosis in patients with colorectal cancer undergoing surgical treatment. Front Nutr 2022; 9:976216. [PMID: 36458178 PMCID: PMC9705583 DOI: 10.3389/fnut.2022.976216] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 10/31/2022] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND To explore the prognostic value of the preoperative neutrophil-albumin ratio (NAR) in patients with colorectal cancer (CRC) undergoing surgical treatment. MATERIALS AND METHODS The standardized log-rank statistic was used to determine the optimal cut-off value for NAR. A logistic regression model was used to evaluate the value of NAR in predicting postoperative complications. Cox proportional hazards models were used to assess the independent association of NAR with progression-free survival (PFS) and overall survival (OS) in CRC patients. Restricted cubic splines were used to assess the relationship between continuous NAR and survival in CRC patients. The Kaplan-Meier method and log-rank test were used to compare survival differences between low and high NAR groups. NAR-based prognostic nomograms were constructed to predict the 1-5-year PFS and OS of CRC patients. The concordance index (C-index) and calibration curve were used to evaluate the prognostic accuracy of the nomograms. RESULTS A total of 1,441 CRC patients were enrolled from January 2012 to December 2016. There were 904 men (62.7%) and 537 women (37.3%), with an average age of 58.12 ± 13.15 years. High NAR was closely associated with low BMI, advanced pathological stage, colon cancer, large tumors, vascular invasion, poor differentiation, high CEA levels, long hospital stay, and recurrence and metastasis. A high NAR was an independent risk factor for postoperative complications in CRC patients (OR: 2.298, 95% CI: 1.642-3.216, p < 0.001). Patients with a high NAR had worse PFS (40.7 vs. 59.5%, p < 0.001) and OS (42.6 vs. 62.4%, p < 0.001). After adjusting for confounders, high NAR was independently associated with PFS (HR: 1.280, 95% CI: 1.031-1.589, p = 0.025) and OS (HR: 1.280; 95% CI: 1.026-1.596, p = 0.029) in CRC patients. The C-index and calibration curves showed that the NAR-based prognostic nomograms had good predictive accuracy. CONCLUSION High NAR was an independent risk factor for postoperative complications and long-term prognosis of CRC patients. NAR-based research could provide references for prognostic judgment and clinical decision-making of CRC patients.
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Affiliation(s)
- Hailun Xie
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| | - Lishuang Wei
- Department of Geriatric Respiratory Disease Ward, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Mingxiang Liu
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| | - Yanren Liang
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| | - Guanghui Yuan
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| | - Shunhui Gao
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| | - Qiwen Wang
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| | - Xin Lin
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
- Grade 2018, Department of Clinical Medicine, Guangxi Medical University, Nanning, China
| | - Shuangyi Tang
- Department of Pharmacy, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Jialiang Gan
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
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Histopathological and Haemogram Features Correlate with Prognosis in Rectal Cancer Patients Receiving Neoadjuvant Chemoradiation without Pathological Complete Response. J Clin Med 2022; 11:jcm11174947. [PMID: 36078877 PMCID: PMC9456328 DOI: 10.3390/jcm11174947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/19/2022] [Accepted: 08/20/2022] [Indexed: 11/18/2022] Open
Abstract
Background: Neoadjuvant chemoradiation therapy (NCRT) followed by surgery is the standard treatment for locally advanced rectal cancer (LARC); approximately 80% of patients do not achieve complete response. Identifying prognostic factors predictive of survival in these patients to guide further management is needed. The intratumoural lymphocytic response (ILR), peritumoural lymphocytic reaction (PLR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PtLR) are correlated with the tumour microenvironment and cancer-related systemic inflammation. This study aimed to explore the ability of the ILR, PLR, NLR, and PtLR to predict survival in LARC patients without a complete response to NCRT. Methods: Sixty-nine patients who underwent NCRT and surgery were retrospectively reviewed. The ILR and PLR were assessed in surgical specimens, and the NLR and PtLR were calculated using pre- and post-NCRT blood count data. The Kaplan–Meier method and Cox regression analyses were performed for survival analysis. Results: A high PLR and high post-NCRT NLR and PtLR were significantly associated with better prognosis. Lymphovascular invasion (LVI), post-NCRT neutrophil count, and lymphocyte count were significant predictors of overall survival. LVI and the PLR were independent predictors of disease-free survival. Conclusions: NCRT-induced local and systemic immune responses are favourable prognostic predictors in LARC patients without complete response to NCRT.
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15
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Herold Z, Herold M, Lohinszky J, Szasz AM, Dank M, Somogyi A. Longitudinal changes in personalized platelet count metrics are good indicators of initial 3-year outcome in colorectal cancer. World J Clin Cases 2022; 10:6825-6844. [PMID: 36051133 PMCID: PMC9297428 DOI: 10.12998/wjcc.v10.i20.6825] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/23/2021] [Accepted: 05/22/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Platelet count or complete blood count (CBC)-based ratios including lymphocyte-to-monocyte (LMR), neutrophil-to-lymphocyte (NLR), hemoglobin-to-platelet (HPR), red blood cell count distribution width-to-platelet (RPR), and platelet-to-lymphocyte (PLR) ratio are good predictors of colorectal cancer (CRC) survival. Their change in time is not well documented, however.
AIM To investigate the effect of longitudinal CBC ratio changes on CRC survival and their possible associations with clinicopathological properties, comorbidities, and anamnestic data.
METHODS A retrospective longitudinal observational study was conducted with the inclusion of 835 CRC patients, who attended at Semmelweis University, Budapest. CBC ratios and two additional newly defined personalized platelet count metrics (pPLTD and pPLTS, the platelet counts relative to the measurement at the time of CRC diagnosis and to the one 4-6 wk after tumor removal surgery, respectively) were recorded.
RESULTS The 835 CRC patients had a total of 4608 measurements (5.52 visits/patient, in average). Longitudinal survival models revealed that the increases/decreases in LMR [hazard ratio (HR): 0.4989, P < 0.0001], NLR (HR: 1.0819, P < 0.0001), HPR (HR: 0.0533, P = 0.0038), pPLTD (HR: 4.9229, P < 0.0001), and pPLTS (HR: 4.7568, P < 0.0001) values were poor prognostic signs of disease-specific survival. The same was obtained for all-cause mortality. Most abnormal changes occurred within the first 3 years after the diagnosis of CRC. RPR and PLR had an only marginal effect on disease-specific (P = 0.0675) and all-cause mortality (Bayesian 95% credible interval: 0.90–186.05), respectively.
CONCLUSION LMR, NLR, and HPR are good metrics to follow the prognosis of the disease. pPLTD and pPLTS perform just as well as the former, while the use of RPR and PLR with the course of the disease is not recommended. Early detection of the abnormal changes in pPLTD, pPLTS, LMR, NLR, or HPR may alert the practicing oncologist for further therapy decisions in a timely manner.
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Affiliation(s)
- Zoltan Herold
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest 1083, Hungary
- Department of Internal Medicine and Hematology, Semmelweis University, Budapest 1088, Hungary
| | - Magdolna Herold
- Department of Internal Medicine and Hematology, Semmelweis University, Budapest 1088, Hungary
| | - Julia Lohinszky
- Department of Internal Medicine and Hematology, Semmelweis University, Budapest 1088, Hungary
| | - Attila Marcell Szasz
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest 1083, Hungary
| | - Magdolna Dank
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest 1083, Hungary
| | - Aniko Somogyi
- Department of Internal Medicine and Hematology, Semmelweis University, Budapest 1088, Hungary
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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: 6.5] [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
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Yao Y, Tang D, Gao W, Zhang H. Neoadjuvant Immuno-Chemotherapy: A New Perspective for Stage III NSCLC? Front Surg 2022; 9:843987. [PMID: 35449550 PMCID: PMC9018103 DOI: 10.3389/fsurg.2022.843987] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 02/28/2022] [Indexed: 11/23/2022] Open
Abstract
Background Stage III Non-small cell lung cancer (NSCLC) is a heterogenous disease with novel treatment options. Recently, immunotherapy has attracted a lot of attention for advanced NSCLC. Objective The objective of our study was to assess the efficacy and safety of neoadjuvant immuno-chemotherapy for resectable stage III NSCLC. Methods We analyzed 11 stage III primary NSCLC surgical cases who had undergone standard lobectomy or bronchial sleeve resection and lymph node dissection between December 2020 and July 2021. The data analyzed included basic clinical features, serum levels of key biomarkers, clinical efficacy in the perioperative period, postoperative pathological results, postoperative complications and the incidence rates of Immune-Related Adverse Events. Results Eleven patients were enrolled in our study with a mean age of 67.7 ± 4.8 years, and 10 patients being men with former or current smoking history. Squamous carcinoma (10/11, 91.1%) was the most common cancer type. Six patients had stage IIIa, five had stage IIIb. All patients received two or three cycles of neoadjuvant immuno-chemotherapy, with the median duration between the last treatment and surgery being 39 days (range, 32–46 days). All patients underwent R0 resection with ten patients undergoing single-port video-assisted thoracoscopic surgery. The median operative time was 170 min (range, 120–240 min). Only three (3/11, 27.3%) patients experienced mild postoperative complications and the mean hospital stay time was 6.9 days (range, 4–15 days). Nine (9/11, 81.8%) patients experienced major pathological response of which seven (7/11, 63.6%) was complete pathological response in postoperative results. The pathological stage was downgraded in 10 (10/11, 91.1%) patients, and although the incidence of Immune-Related Adverse Events was slightly higher (8/11, 72.7%), most events were grade 1–2 and did not delay surgery. Conclusion Our study demonstrated that neoadjuvant immuno-chemotherapy is feasible and relatively safe for resectable stage III primary NSCLC patients. We hope this new neoadjuvant immuno-chemotherapy model can improve overall survival and open a new era for stage III primary NSCLC patients.
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Acikgoz O, Cakan B, Demir T, Bilici A, Oven BB, Hamdard J, Olmuscelik O, Olmez OF, Seker M, Yildiz O. Platelet to lymphocyte ratio is associated with tumor localization and outcomes in metastatic colorectal cancer. Medicine (Baltimore) 2021; 100:e27712. [PMID: 34871263 PMCID: PMC8568374 DOI: 10.1097/md.0000000000027712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 10/19/2021] [Indexed: 01/05/2023] Open
Abstract
The aim of this study was to investigate the predictive and prognostic value of PLR, and the relationship between PLR and tumor localization.A total of 229 patients with de-novo metastatic CRC were retrospectively analyzed. The cutoff value for PLR was defined by the receiver operating characteristic (ROC) curve analysis and threshold value of 196.5 as best cut-off value was found.The higher rate of BRAF mutation was significantly detected for patients with PLRhigh (> 196.5) compared to those with PLRlow (≤196.5) (P = .001). PLR was significantly higher in tumors located on the right colon (P = .012). PLR, tumor localization, the presence of surgery for primary tumor, the presence of curative surgery, the presence of metastasectomy for progression-free survival (PFS) and PLR, gender, BRAF mutation, tumor localization, the presence of surgery for primary tumor, the presence of metastasectomy for overall survival (OS) were found to be prognostic factors by univariate analysis. Multivariate analysis showed that PLR, the presence of curative surgery and the presence of metastasectomy for both PFS and OS were found to be independent prognostic factors. Moreover, a logistic regression analysis indicated that PLR and tumor localization were found to be an independent factors for predicting response to systemic treatment (P < .001 and P = .023 respectively).Our results showed that pretreatment PLR was readily feasible and simple biomarker predicting response to treatment and survival, in addition it was significantly associated with tumor localization.
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Affiliation(s)
- Ozgur Acikgoz
- Department of Medical Oncology, Istanbul Medipol University School of Medicine, Istanbul, Turkey
| | - Burcin Cakan
- Department of Medical Oncology, Denizli Pamukkale University School of Medicine, Denizli, Turkey
| | - Tarik Demir
- Department of Medical Oncology, Istanbul Bezmialem Vakif University School of Medicine, Istanbul, Turkey
| | - Ahmet Bilici
- Department of Medical Oncology, Istanbul Medipol University School of Medicine, Istanbul, Turkey
| | - Bala Basak Oven
- Department of Medical Oncology, Istanbul Bahcesehir University School of Medicine, Istanbul, Turkey
| | - Jamshid Hamdard
- Department of Medical Oncology, Istanbul Medipol University School of Medicine, Istanbul, Turkey
| | - Oktay Olmuscelik
- Department of Medical Oncology, Istanbul Medipol University School of Medicine, Istanbul, Turkey
| | - Omer Fatih Olmez
- Department of Medical Oncology, Istanbul Medipol University School of Medicine, Istanbul, Turkey
| | - Mesut Seker
- Department of Medical Oncology, Istanbul Bezmialem Vakif University School of Medicine, Istanbul, Turkey
| | - Ozcan Yildiz
- Department of Medical Oncology, Istanbul Medipol University School of Medicine, Istanbul, Turkey
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