High Pretreatment LDH Predicts Poor Prognosis in Hypopharyngeal Cancer

Wu, Jialing; You, Kaiyun; Chen, Changlong; Huang, Zhong; Jiang, Yanjun; Mo, Huaqian; Song, Jianping; Qiu, Xingsheng; Liu, Yimin

doi:10.3389/fonc.2021.641682

Cited by 8 publications

(7 citation statements)

References 65 publications

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“…If there is a malfunction caused by oxidative stress, the LDH level may increase. On the other hand, LDH amplifies reactive oxygen species in response to oxidative stimuli [14]. In this study, no difference was found between the groups in terms of glucose, ALT, AST, and LDL values, except for LDH, between different varieties.…”

Section: Discussioncontrasting

confidence: 57%

An Evaluation of Different Quail Varieties for the Heat Stress Resistance

Aslan

Eroğlu²,

Baykalir

et al. 2021

EJVETMED

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The aim of this study was to evaluate some biochemical variables under heat-stressed Japanese quail that have different plumage colors for detecting that variety of quail better adapted to heat stress. A total of 100 birds were used in this study. The 25 birds that belong to each four plumage color group were placed in 5-tiered including 3 compartments in each tier plastic cages with subdivided 5 repetitions according to their initial body weights. The statistical significance occurred in LDH (P<0.01). The highest LDH level was found in the Recessive white variety (25.43 mmol/L), followed by Wild type (23.78 mmol/L), Golden (12.87 mmol/L), and Tuxedo (12.71 mmol/L), respectively. The Recessive white group was different from the Golden and Tuxedo groups. According to the results of the current study, there was no significant difference was observed between the four different color varieties of Japanese quail regarding heat stress. However, when LDH is taken into account, it can be thought that the white color may be more sensitive to stress. In order to clarify exactly this situation, more studies that are detailed such as yield performance can be conducted on different quail species.

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Section: Discussioncontrasting

confidence: 57%

An Evaluation of Different Quail Varieties for the Heat Stress Resistance

Aslan

Eroğlu²,

Baykalir

et al. 2021

EJVETMED

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“…The overexpression of the metabolic enzyme LDHA is necessary for tumor growth and progression (6)(7)(8)(9)(10)(13)(14)(15). LDHA typically exists as a tetramer (LDH-5) and functions primarily to interconvert pyruvate to lactate and transform NADH to NAD+.…”

Section: Discussionmentioning

confidence: 99%

“…Notably, a number of enzymes and transporters that promote glycolysis and glucose metabolism are overexpressed in cancer cells relative to normal cells (4,5). One such enzyme, lactic acid dehydrogenase A (LDHA), is known to be overexpressed in several cancer types and associated with poor prognosis (6)(7)(8)(9)(10).…”

Section: Introductionmentioning

confidence: 99%

Transcriptional, chromatin, and metabolic landscapes of LDHA inhibitor–resistant pancreatic ductal adenocarcinoma

et al. 2022

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Metabolic reprogramming, due in part to the overexpression of metabolic enzymes, is a key hallmark of cancer cells. Lactate dehydrogenase (LDHA), a metabolic enzyme that catalyzes the interconversion of lactate and pyruvate, is overexpressed in a wide variety of cancer types, including pancreatic ductal adenocarcinoma (PDAC). Furthermore, the genetic or pharmacological inhibition of LDHA suppresses cancer growth, demonstrating a cancer-promoting role for this enzyme. Therefore, several pharmacological LDHA inhibitors are being developed and tested as potential anti-cancer therapeutic agents. Because cancer cells are known to rapidly adapt and become resistant to anti-cancer therapies, in this study, we modeled the adaptation of cancer cells to LDHA inhibition. Using PDAC as a model system, we studied the molecular aspects of cells resistant to the competitive LDHA inhibitor sodium oxamate. We performed unbiased RNA-sequencing (RNA-seq), assay for transposase-accessible chromatin with sequencing (ATAC-seq), and metabolomics analyses of parental and oxamate-resistant PDAC cells treated with and without oxamate to identify the transcriptional, chromatin, and metabolic landscapes of these cells. We found that oxamate-resistant PDAC cells were significantly different from parental cells at the levels of mRNA expression, chromatin accessibility, and metabolites. Additionally, an integrative analysis combining the RNA-seq and ATAC-seq datasets identified a subset of differentially expressed mRNAs that directly correlated with changes in chromatin accessibility. Finally, functional analysis of differentially expressed metabolic genes in parental and oxamate-resistant PDAC cells treated with and without oxamate, together with an integrative analysis of RNA-seq and metabolomics data, revealed changes in metabolic enzymes that might explain the changes in metabolite levels observed in these cells. Collectively, these studies identify the transcriptional, chromatin, and metabolic landscapes of LDHA inhibitor resistance in PDAC cells. Future functional studies related to these changes remain necessary to reveal the direct roles played by these changes in the development of LDHA inhibitor resistance and uncover approaches for more effective use of LDHA inhibitors in cancer therapy.

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“…In our cohort, a higher volume of normal muscle was an independent factor of survival in the follow-up, and it was positively correlated with albumin and lymphocytes and negatively correlated with age at diagnosis. On the contrary, increase of low-density muscle tissue (myosteatosis) had a relationship with mortality in the follow-up, and were positively related to higher levels of fibrinogen, LDH, glucose, and triglycerides at diagnosis, parameters that were previously correlated with poor prognosis [ 40 , 41 ]. In addition, there were other associations with body composition and bad prognosis characteristics such as metastasis, higher ECOG and advanced age, also associated with mortality.…”

Section: Discussionmentioning

confidence: 99%

Impact of Change in Body Composition during Follow-Up on the Survival of GEP-NET

Sebastián-Valles

Carrero

Laval

et al. 2022

Cancers

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Background: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are heterogeneous rare diseases causing malnutrition and cachexia in which the study of body composition may have an impact in prognosis. Aim: Evaluation of muscle and fat tissues by computed tomography (CT) at the level of the third lumbar (L3 level) at diagnosis and at the end of follow-up in GET-NET patients and their relationships with clinical and biochemical variables as predictors of survival. Methodology: Ninety-eight GEP-NET patients were included. Clinical and biochemical parameters were evaluated. Total body, subcutaneous, visceral and total fat areas and very low-density, low-density, normal density, high-density, very high-density and total muscle areas were obtained from CT images. Results: Body composition measures and overall mortality correlated with age, ECOG (Eastern Cooperative Oncology Group performance status) metastases, lactate dehydrogenase (LDH), albumin and urea levels. Although there was no relationship between body composition variables at diagnosis and overall and specific mortality, an increase in low-density muscle and a decrease in normal-density muscle during follow-up were independently correlated to overall (p <0.05) and tumor-cause mortality (p < 0.05). Conclusion: Although body composition measures obtained by CT at diagnosis did not impact survival of GEP-NET patients, a loss of good quality muscle during follow-up was associated with an increased overall and tumor-related mortality. Nutritional status should therefore be supervised by nutrition specialists and an increase in good quality muscle could improve prognosis.

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High Pretreatment LDH Predicts Poor Prognosis in Hypopharyngeal Cancer

Cited by 8 publications

References 65 publications

An Evaluation of Different Quail Varieties for the Heat Stress Resistance

An Evaluation of Different Quail Varieties for the Heat Stress Resistance

Transcriptional, chromatin, and metabolic landscapes of LDHA inhibitor–resistant pancreatic ductal adenocarcinoma

Impact of Change in Body Composition during Follow-Up on the Survival of GEP-NET

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