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Shayimu P, Awula M, Wang CY, Jiapaer R, Pan YP, Wu ZM, Chen Y, Zhao ZL. Serum nutritional predictive biomarkers and risk assessment for anastomotic leakage after laparoscopic surgery in rectal cancer patients. World J Gastrointest Surg 2024; 16:3142-3154. [PMID: 39575267 PMCID: PMC11577407 DOI: 10.4240/wjgs.v16.i10.3142] [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: 04/25/2024] [Revised: 08/08/2024] [Accepted: 08/28/2024] [Indexed: 09/27/2024] Open
Abstract
BACKGROUND Anastomotic leakage (AL) is one of the severest complications after laparoscopic surgery for middle/low rectal cancer, significantly impacting patient outcomes. Identifying reliable predictive factors for AL remains a clinical challenge. Serum nutritional biomarkers have been implicated in surgical outcomes but are underexplored as predictive tools for AL in this setting. Our study hypothesizes that preoperative serum levels of prealbumin (PA), albumin (ALB), and transferrin (TRF), along with surgical factors, can accurately predict AL risk. AIM To determine the predictive value of preoperative serum nutritional biomarkers for rectal cancer AL following laparoscopic surgery. METHODS In the retrospective cohort study carried out at a tertiary cancer center, we examined 560 individuals who underwent laparoscopic procedures for rectal cancer from 2018 to 2022. Preoperative serum levels of PA, ALB, and TRF were measured. We employed multivariate logistic regression to determine the independent risk factors for AL, and a predictive model was constructed and evaluated using receiver operating characteristic curve analysis. RESULTS AL occurred in 11.96% of cases, affecting 67 out of 560 patients. Multivariate analysis identified PA, ALB, and TRF as the independent risk factor, each with an odds ratio of 2.621 [95% confidence interval (CI): 1.582-3.812, P = 0.012], 3.982 (95%CI: 1.927-4.887, P = 0.024), and 2.109 (95%CI: 1.162-2.981, P = 0.031), respectively. Tumor location (< 7 cm from anal verge) and intraoperative bleeding ≥ 300 mL also increased AL risk. The predictive model demonstrated an excellent accuracy, achieving an area under the receiver operating characteristic curve of 0.942, a sensitivity of 0.844, and a specificity of 0.922, demonstrating an excellent ability to discriminate. CONCLUSION Preoperative serum nutritional biomarkers, combined with surgical factors, reliably predict anastomotic leakage risk after rectal cancer surgery, highlighting their importance in preoperative assessment.
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Affiliation(s)
- Paerhati Shayimu
- Department of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
| | - Maitisaidi Awula
- Department of General Surgery, Yutian County People’s Hospital, Hotan 848499, Xinjiang Uygur Autonomous Region, China
| | - Chang-Yong Wang
- Department of General Surgery, Yutian County People’s Hospital, Hotan 848499, Xinjiang Uygur Autonomous Region, China
| | - Rexida Jiapaer
- Department of Ultrasound, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
| | - Yi-Peng Pan
- Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, Zhejiang Province, China
| | - Zhi-Min Wu
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang 550003, Guizhou Province, China
| | - Yi Chen
- Department of Breast and Thyroid Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
| | - Ze-Liang Zhao
- Department of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
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Cui L, Zhou H, Hao Y, Yang X, Li Z, Gao Y, Zhang Z, Ren L, Ji L, Sun R, Wang Y, Wang X. Effect of ferric citrate on hippocampal iron accumulation and widespread molecular alterations associated with cognitive disorder in an ovariectomized mice model. CNS Neurosci Ther 2024; 30:e70018. [PMID: 39252474 PMCID: PMC11386256 DOI: 10.1111/cns.70018] [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: 04/24/2024] [Revised: 07/17/2024] [Accepted: 08/12/2024] [Indexed: 09/11/2024] Open
Abstract
OBJECTIVE Nowadays, the prevalence of cognitive impairment in women has gradually increased, especially in postmenopausal women. There were few studies on the mechanistic effects of iron exposure on neurotoxicity in postmenopausal women. The aim of this study is to investigate the effect of iron accumulation on cognitive ability in ovariectomized mice and its possible mechanism and to provide a scientific basis for the prevention of cognitive dysfunction in postmenopausal women. METHODS Female C57BL/6N ovariectomized model mice were induced with ferric citrate (FAC). The mice were randomly divided into 5 groups: control, sham, ovariectomized (Ovx), Ovx + 50 mg/kg FAC (Ovx + l), and Ovx + 100 mg/kg FAC (Ovx + h). The impact of motor and cognitive function was verified by a series of behavioral tests. The levels of serum iron parameters, malondialdehyde, and superoxide dismutase were measured. The ultrastructure of mice hippocampal microglia was imaged by transmission electron microscopy. The differential expression of hippocampal proteins was analyzed by Tandem Mass Tag labeling. RESULTS Movement and cognitive function in Ovx + l/Ovx + h mice were significantly decreased compared to control and Sham mice. Then, iron exposure caused histopathological changes in the hippocampus of mice. In addition, proteomic analysis revealed that 29/27/41 proteins were differentially expressed in the hippocampus when compared by Ovx vs. Sham, Ovx + l vs. Ovx, as well as Ovx + h vs. Ovx + l groups, respectively. Moreover, transferrin receptor protein (TFR1) and divalent metal transporter 1 (DMT1) protein expression were significantly increased in the iron accumulation mice model with ovariectomy. CONCLUSION Iron exposure could cause histopathological damage in the hippocampus of ovariectomised mice and, by altering hippocampal proteomics, particularly the expression of hippocampal iron metabolism-related proteins, could further influence cognitive impairment in ovariectomized mice.
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Affiliation(s)
- Lingling Cui
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Huijun Zhou
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Yudan Hao
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Xiaoli Yang
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Zhiqian Li
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Yuting Gao
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Zhengya Zhang
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Lina Ren
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Linpu Ji
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Ruijie Sun
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Yibo Wang
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
| | - Xian Wang
- College of Public HealthZhengzhou UniversityZhengzhouHenanChina
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Bhadra M, Sachan M, Nara S. Current strategies for early epithelial ovarian cancer detection using miRNA as a potential tool. Front Mol Biosci 2024; 11:1361601. [PMID: 38690293 PMCID: PMC11058280 DOI: 10.3389/fmolb.2024.1361601] [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: 12/26/2023] [Accepted: 03/20/2024] [Indexed: 05/02/2024] Open
Abstract
Ovarian cancer is one of the most aggressive and significant malignant tumor forms in the female reproductive system. It is the leading cause of death among gynecological cancers owing to its metastasis. Since its preliminary disease symptoms are lacking, it is imperative to develop early diagnostic biomarkers to aid in treatment optimization and personalization. In this vein, microRNAs, which are short sequence non-coding molecules, displayed great potential as highly specific and sensitive biomarker. miRNAs have been extensively advocated and proven to serve an instrumental part in the clinical management of cancer, especially ovarian cancer, by promoting the cancer cell progression, invasion, delayed apoptosis, epithelial-mesenchymal transition, metastasis of cancer cells, chemosensitivity and resistance and disease therapy. Here, we cover our present comprehension of the most up-to-date microRNA-based approaches to detect ovarian cancer, as well as current diagnostic and treatment strategies, the role of microRNAs as oncogenes or tumor suppressor genes, and their significance in ovarian cancer progression, prognosis, and therapy.
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Shatalov P, Falaleeva N, Bykova E, Korostin D, Belova V, Zabolotneva A, Shinkarkina A, Gorbachev AY, Potievskiy M, Surkova V, Khailova ZV, Kulemin N, Baranovskii D, Kostin A, Kaprin A, Shegai P. Genetic and therapeutic landscapes in cohort of pancreatic adenocarcinomas: next-generation sequencing and machine learning for full tumor exome analysis. Oncotarget 2024; 15:91-103. [PMID: 38329726 PMCID: PMC10852064 DOI: 10.18632/oncotarget.28512] [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] [Received: 06/04/2023] [Accepted: 09/04/2023] [Indexed: 02/09/2024] Open
Abstract
About 7% of all cancer deaths are caused by pancreatic cancer (PCa). PCa is known for its lowest survival rates among all oncological diseases and heterogenic molecular profile. Enormous amount of genetic changes, including somatic mutations, exceeds the limits of routine clinical genetic laboratory tests and further stagnates the development of personalized treatments. We aimed to build a mutational landscape of PCa in the Russian population based on full exome next-generation sequencing (NGS) of the limited group of patients. Applying a machine learning model on full exome individual data we received personalized recommendations for targeted treatment options for each clinical case and summarized them in the unique therapeutic landscape.
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Affiliation(s)
- P.A. Shatalov
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
| | - N.A. Falaleeva
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
| | - E.A. Bykova
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
| | - D.O. Korostin
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow 117997, Russia
| | - V.A. Belova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow 117997, Russia
| | - A.A. Zabolotneva
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow 117997, Russia
| | - A.P. Shinkarkina
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
| | - A. Yu Gorbachev
- FSBI “Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine” FMBA, Moscow 119435, Russia
| | - M.B. Potievskiy
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
| | - V.S. Surkova
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
| | - Zh V. Khailova
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
| | - N.A. Kulemin
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
| | - Denis Baranovskii
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
- Peoples Friendship University of Russia (RUDN University), Moscow 117198, Russia
| | - A.A. Kostin
- Peoples Friendship University of Russia (RUDN University), Moscow 117198, Russia
| | - A.D. Kaprin
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
- Peoples Friendship University of Russia (RUDN University), Moscow 117198, Russia
| | - P.V. Shegai
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia
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Sachko AM, Goryainova OS, Ivanova TI, Nikolaeva IY, Tarnopolskaia ME, Bychkov AY, Gaas MY, Vorob'ev NV, Kaprin AD, Shegay PV, Tillib SV. Analysis of Transferrin in the Urine of Patients with Bladder Cancer Using Nanobodies. BIOCHEMISTRY. BIOKHIMIIA 2023; 88:1105-1115. [PMID: 37758310 DOI: 10.1134/s0006297923080059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 06/14/2023] [Accepted: 07/03/2023] [Indexed: 10/03/2023]
Abstract
It is known that the saturation ratio of transferrin (Tf) with iron in human blood is an important clinical parameter. Specific antibodies can be used to analyze subtle changes in the relative abundance of different forms of transferrin potentially associated with a pathological process. Recently, the authors of this study were able to obtain and characterize highly specific single-domain antibodies (nanobodies) that predominantly recognize the iron-saturated (holo-Tf) or iron-unsaturated (apo-Tf) form of transferrin. In this work, under conditions closer to physiological than in the previous experiments, we further demonstrated that these unique nanobodies have extremely high differential binding specificity for different forms of Tf in different human biological fluids. Using these nanobodies, we were able to analyze for the first time relative abundance of the transferrin forms in urine samples from the patients with bladder cancer (BC). We have shown that increase in the concentration of total Tf in the urine samples normalized for creatinine is associated with the degree of progress and growth of malignancy of BC. In the samples of healthy donors and in the early stages of BC (G1), Tf is detected in much smaller amounts (compared to the later stages) and only with additional concentration of the studied samples. For most of the studied urine samples from the BC patients, it is expected (as previously shown in the case of Tf in the blood of terminal ovarian cancer patients) that the concentration of apo-Tf is clearly higher than holo-Tf, especially in the case of the most advanced muscle-invasive BC. It was a surprise for us that approximately equal amounts of apo-Tf and holo-Tf were found in the urine samples of some patients with BC. We hypothesized that the holo-Tf fraction in this case could be largely represented by the "secondary complexes" formed by apo-Tf in combination with ions other than Fe3+, which accumulate in the urine of some cancer patients and are able to bind to apo-Tf, changing its conformation towards holo-Tf. By using inductively coupled plasma mass spectroscopy (ICP-MS), we obtained first results confirming our hypothesis. Preparation of the holo-Tf in these urine samples was found to be highly enriched in zinc and nickel. Also, relative enrichment in cadmium has been observed in this preparation, but at much lower concentrations. The obtained data indicate that the used nanobody, while recognizing predominantly the iron-saturated form of transferrin (holo-Tf), is also capable of binding transferrin in association with other metal ions that are different from iron. This ability could potentially open up new possibilities for investigation of relative abundance of various metal ions in association with transferrin in human biological fluids in normal and pathological conditions.
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Affiliation(s)
- Anastasiya M Sachko
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia
| | - Oksana S Goryainova
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia
| | - Tatiana I Ivanova
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia
- Tsyb Medical Radiological Research Centre, Branch of the National Medical Research Radiological Centre, Ministry of Health of the Russian Federation, Obninsk, 249036, Russia
| | - Irina Yu Nikolaeva
- Faculty of Geology, Lomonosov Moscow State University, Moscow, 119234, Russia
| | | | - Andrew Y Bychkov
- Faculty of Geology, Lomonosov Moscow State University, Moscow, 119234, Russia
| | - Margarita Ya Gaas
- Peoples' Friendship University of Russia (RUDN University), Moscow, 117198, Russia
| | - Nikolay V Vorob'ev
- Hertsen Moscow Oncology Research Institute, Branch of the National Medical Research Radiological Centre, Ministry of Health of the Russian Federation, Moscow, 125284, Russia
- Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Moscow, 119991, Russia
| | - Andrey D Kaprin
- Peoples' Friendship University of Russia (RUDN University), Moscow, 117198, Russia
- National Medical Research Radiological Centre, Ministry of Health of the Russian Federation, Moscow, 125284, Russia
| | - Petr V Shegay
- Peoples' Friendship University of Russia (RUDN University), Moscow, 117198, Russia
- National Medical Research Radiological Centre, Ministry of Health of the Russian Federation, Moscow, 125284, Russia
| | - Sergei V Tillib
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia.
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