Preliminary Study on Serum Lactate Dehydrogenase (LDH)-Prognostic Biomarker in Carcinoma Breast

Agrawal, Aditi; Gandhe, Mahendra Bhauraoji; Gupta, Dilip; Reddy, M. V. R.

doi:10.7860/jcdr/2016/17111.7364

Cited by 24 publications

(23 citation statements)

References 14 publications

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“…Thus, high levels of serum LDH in such kind of patients may be considered as an early warning sign of recurrence or metastasis. 27 In present study, both MTV and TLG levels were found to be positively correlated with serum LDH in all cancer types (for MTV: rho= 00.417, p< 0.05; for TLG: rho= 0.365, p< 0.05).…”

Section: Discussionsupporting

confidence: 58%

High Metabolic Tumor Volume and Total Lesion Glycolysis Derived from Baseline 18 F-FDG PET/CT may Predict the Metabolic Abnormalities in Newly Diagnosed Cancer Patients

Çetin¹

2018

UHOD

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The present study was conducted to investigate the role of total body Metabolic Tumor Volume (MTV, mm 3) and Total Lesion Glycolysis (TLG) values obtained by PET/CT imaging for predicting metabolic abnormalities in newly diagnosed cancer patients. Patients having solid tumors with initial PET/CT staging were evaluated in a prospective cohort study. MTV and TLG values of all patients were measured besides SUV values as PET/CT parameters. Initial metabolic status of patients was evaluated based on basal metabolic rates, serum vitamin, mineral, and biochemical metabolite levels and antioxidant enzyme capacities. The MTV and TLG levels revealed significant relationships with cancer-induced metabolic abnormalities as high BMR and LDH, and low albumin levels as well as advanced stage and presence of metastasis (p< 0.05). Cutoff values along with sensitivity and specificity rates in terms of high BMR (>20 Kcal/kg) were obtained to be > 52400 mm3 for MTV (0.84 and 0.63) and >274208 for TLG (0.84 and 0.63). The same values for high LDH were ≥ 219520 mm 3 (0.52 and 0.88) for MTV and ≥ 411792 (0.78 and 0.58) for TLG, respectively. The values for low albumin levels were ≥89520 mm 3 (0.63 and 0.10) for MTV, and ≥ 887840 (0.75 and 1.00) for TLG, respectively. In conclusion, MTV and TLG cutoff values determined by ROC analysis can predict metabolic abnormalities in initial BMR, LDH and albumin levels with high specificity and sensitivity. It is recommended to test MTV and TLG levels to determine initial metabolic status of diverse patient groups with various types of cancer.

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Section: Discussionsupporting

confidence: 58%

High Metabolic Tumor Volume and Total Lesion Glycolysis Derived from Baseline 18 F-FDG PET/CT may Predict the Metabolic Abnormalities in Newly Diagnosed Cancer Patients

Çetin¹

2018

UHOD

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“…These conditions (high consumption of glucose and hypoxic environment) lead to higher LDH levels. More generally, a high LDH level is known to be a factor of poor prognosis in other cancers, such as lung15 and breast cancer16, and two other studies in NEC (pulmonary17 and colorectal12) also reported high LDH serum levels. Among 61 patients with available AST data at diagnosis, 31% had AST ≥ 2 ULN and they were associated with poorer outcome in multivariate analysis.…”

Section: Discussionmentioning

confidence: 87%

Prognostic factors in neuroendocrine carcinoma: biological markers are more useful than histomorphological markers

Freis

Graillot

Rousset

et al. 2017

Sci Rep

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Gastroenteropancreatic neuroendocrine carcinomas (GEP-NEC) are a very aggressive type of cancer, for which prognostic factors are lacking. We analysed clinical and histomorphological prognostic markers of overall survival (OS), completed with a record of biological and haematological data of patients diagnosed between December 2002 and December 2015. The median OS was 16 months (95% CI 13.9–18.1). After univariate analysis, performance status (PS) ≥ 2 and stage IV were associated with a worse outcome (9 months and 14 months, respectively), as well as patients with lactate dehydrogenase (LDH) and aspartate aminotransferase (AST) levels ≥ 2 ULN (9 months and 8 months, respectively). After multivariate analysis, LDH and AST levels were the only factors that remained significantly associated with better survival: HR 0.36 (p = 0.04) and 0.31 (p = 0.03), respectively. When patients had elevated LDH and AST levels, OS was 20 months, when they had high LDH or AST levels, 13 months and 8 months in the group with low LDH and AST levels (p < 0.001). Therefore, biological data appeared to be more relevant prognostic factors than usual factors described in other studies (PS, stage, and Ki-67). Considering LDH and AST levels at diagnosis could help physicians to predict survival and to stratify patients for clinical trials.

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“…Six parameters related to body size were determined: body weight/height/length, bust, chest depth, neck size, and two other traits, such as wool length, and shear amount (defined as the weight of the fleece post shearing) 17 ; Thirteen physiological parameters: body temperature (Temperature), breathe rates (Breathe), pulse rates (Pulse), pulse interval (pulse interval), red-cell numbers (RBC), hematocrit, HCT, erythrocyte mean corpuscular volume (MCV) 17 , mean corpuscular hemoglobin (MCH), Mean corpuscular hemoglobin concentration (MCHC) 18 , Hemoglobin (HGB), Platelet (PLT), Red blood cell volume distribution width coefficient variation (RGW-CV), White blood cell count (WBC). Biochemical parameters: Glutamic pyruvic transaminase (ALT) 19 , Glutamic oxalacetic transaminase (AST) 19 , Total protein (TP), Albumin (ALB), Globulin (GLO), Alkaline phosphatase (ALP), Lactate dehydrogenase (LDH), Cholinesterase (PCHE) 20 , Glucose (GLU), Total cholesterol (CHOL) 21 , Total calcium (CA); Nine blood-gas parameters: blood pH, pressure CO 2 (pCO 2 ), O 2 saturation (O 2 S), concentration of HCO 3 - , standard bicarbonate, total CO 2 concentration, Base excess (BE), Standard base excess (SBE); structural parameters related to Lung tissue: bronchial, thin bronchial, end thin bronchial, alveolar numbers per area (A N /m 2 ), thick alveolar interval (TAI).…”

Section: Methodsmentioning

confidence: 99%

Genetic signatures of high-altitude adaptation and geographic distribution in Tibetan sheep

Liu

Yuan

Guo

et al. 2020

Sci Rep

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Most sheep breeding programs designed for the tropics and sub-tropics have to take into account the impacts of environmental adaptive traits. However, the genetic mechanism regulating the multiple biological processes driving adaptive responses remains unclear. In this study, we applied a selective sweep analysis by combing 1% top values of Fst and ZHp on both altitude and geographic subpopulations (APS) in 636 indigenous Tibetan sheep breeds. Results show that 37 genes were identified within overlapped genomic regions regarding Fst significantly associated with APS. Out of the 37 genes, we found that 8, 3 and 6 genes at chromosomes (chr.) 13, 23 and 27, respectively, were identified in the genomic regions with 1% top values of ZHp. We further analyzed the INDEL variation of 6 genes at chr.27 (X chromosome) in APS together with corresponding orthologs of 6 genes in Capra, Pantholops, and Bos Taurus. We found that an INDEL was located within 5′UTR region of HAG1 gene. This INDEL of HAG1 was strongly associated with the variation of APS, which was further confirmed by qPCR. Sheep breeds carrying “C-INDEL” of HAG1 have significantly greater body weight, shear amount, corpuscular hemoglobin and globulin levels, but lower body height, than those carrying “CA-INDEL” of HAG1. We concluded that “C-INDEL” variation of HAG1 gene confers better hypoxia tolerance in the highlands of Tibetan and explains well geographic distributions in this population. These results contribute to our understanding of adaptive responses to altitude and geographic adaptation in Tibetan sheep populations and will help to guide future conservation programs for Tibetan sheep native to Qinghai-Tibetan Plateau.

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Preliminary Study on Serum Lactate Dehydrogenase (LDH)-Prognostic Biomarker in Carcinoma Breast

Abstract: Serum LDH monitoring can be used as a prognostic biomarker in patients of breast cancer. For confirmation of this finding, we require further more studies on larger sample size and long-term follow-up in patients specifically with higher serum LDH levels.

Cited by 24 publications

References 14 publications

High Metabolic Tumor Volume and Total Lesion Glycolysis Derived from Baseline 18 F-FDG PET/CT may Predict the Metabolic Abnormalities in Newly Diagnosed Cancer Patients

High Metabolic Tumor Volume and Total Lesion Glycolysis Derived from Baseline 18 F-FDG PET/CT may Predict the Metabolic Abnormalities in Newly Diagnosed Cancer Patients

Prognostic factors in neuroendocrine carcinoma: biological markers are more useful than histomorphological markers

Genetic signatures of high-altitude adaptation and geographic distribution in Tibetan sheep

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