Lactate dehydrogenase as a prognostic factor for survival time of terminally ill cancer patients: A preliminary study

Suh, Sang-Yeon; Ahn, Hong Yup

doi:10.1016/j.ejca.2007.01.031

Cited by 79 publications

(73 citation statements)

References 26 publications

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“…Our study reinforces the prognostic significance of elevated LDH levels, a well established prognostic indicator in terminally ill cancer patients [20].…”

Section: Prognostic Significance Of Ldhsupporting

confidence: 64%

Palliative gastrectomy and other factors affecting overall survival in stage IV gastric adenocarcinoma patients receiving chemotherapy: A retrospective analysis

Sougioultzis

Syrios

Xynos

et al. 2011

European Journal of Surgical Oncology

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“…Our study reinforces the prognostic significance of elevated LDH levels, a well established prognostic indicator in terminally ill cancer patients [20].…”

Section: Prognostic Significance Of Ldhsupporting

confidence: 64%

Palliative gastrectomy and other factors affecting overall survival in stage IV gastric adenocarcinoma patients receiving chemotherapy: A retrospective analysis

Sougioultzis

Syrios

Xynos

et al. 2011

European Journal of Surgical Oncology

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“…Ismert, hogy a terminális állapotú páciensekben a szé-rum-LDH-emelkedés a halál előtt egy-két héttel jelentős mértékben fokozódik [95]. Szolid és hematológiai malignomákban az emelkedett szérum-LDH a rossz prognózist jelzi előre.…”

Section: A Szérum-és a Szöveti Ldh Valamint A Rosszindulatú Daganatounclassified

“…Egy prospektív vizsgálatban, terminális állapotú páci-ensek esetén (n = 93) az emelkedett LDH (>313 U/l) rosszabb teljes túléléssel társult (HR 2,087, p = 0,002) [95].…”

Section: A Kiindulási Szérum-ldh éS a Rosszindulatú Daganatos Betegekunclassified

A laktátdehidrogenáz (LDH) prognosztikai jelentősége az onkológiában

Deme¹,

Telekes

2017

Orvosi Hetilap

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A rosszindulatú daganatsejtek többségében fokozott a glikolízis, amely biztosítja a proliferációhoz szükséges energia legnagyobb részét. A laktátdehidrogenáz (LDH) anaerob körülmények között katalizálja a reverzibilis piruvát-tejsav átalakulást. A daganatsejtek által expresszált LDHA izoenzim hatására a tejsavképződés jelentősen fokozódik. A tejsav indukálja az oxigenizált daganatsejtek proliferációját, az angiogenezist és gátolja a veleszületett és az adaptív immunválaszt. A szérum-LDH-emelkedés rövidebb túléléssel korrelál. A szerzők áttekintik az LDH-emelkedés és a rosszindulatú daganatos betegségek prognózisa közötti összefüggést feltáró fontosabb vizsgálatokat. Orv Hetil. 2017; 158(50): 1977-1988. Kulcsszavak: laktátdehidrogenáz, rosszindulatú daganatok, prognózis Prognostic importance of lactate dehydrogenase (LDH) in oncologyGlycolysis is increased in most of the malignant cells, providing the largest proportion of energy needed for cell proliferation. Lactate dehydrogenase (LDH) catalyses the reversible process of pyruvate to lactate in anaerobic condition. LDHA isoenzyme expressed mainly by malignant cells, significantly increases lactate formation. Lactate induces the proliferation of oxygenated malignant cells, angiogenesis, and inhibits the innate and adaptive immune responses. Baseline serum LDH elevation correlates with shorter survival. The authors review the relevant studies exploring the correlation between LDH elevation and the prognosis of malignant diseases. Rövidítések A549 = (human non small cell lung cancer cell line A549) humán nem kissejtes tüdőráksejtvonal A549; acetil-CoA = (acetylcoenzyme A) acetil-koenzim A; Acr = activity-regulated cytoskeleton-associated protein; AKT = (protein kinase B) proteinkináz-B; AMP = (adenosine monophosphate) adenozin-monofoszfát; AMPK = (adenosine monophosphate-activated protein kinase) adenozin-monofoszfát aktiválta proteinkináz; ARG1 = (L-arginin metabolizing enzyme arginase-1) L-arginin-metabolizáló enzim argináz-1; ATP = (adenosine triphosphate) adenozin-trifoszfát; CAF = (cancer-associated fibroblasts) daganat asszociálta fibroblastok; CD = (cluster of differentation) differenciációs cluster; CRC = (colorectal cancer) vastag-és végbélrák; CRPC = (castration-resistant prostate cancer) kasztrációrezisztens prostatarák; CSS = (cancer specific survival) daganatspecifikus túlélés; CTL = (cytotoxic T-lymphocyte) citotoxikus T-lymphocyta; DFS = (disease-free survival) betegségmentes túlélés; EGFR = (epidermal growth factor receptor) epidermális növekedési faktor receptor; EpH4 = (nontumorigenic mammary epithelial cells) nem daganatos emlőhámsejt; ER = (estrogen receptor) ösztrogénreceptor; ErbB2 = receptor tyrosine kinase erbB-2 (HER-2/Neu); ERK-2 = (extracellular signal-regulated kinase-2) extracelluláris szignál regulálta kináz 2; FH = (fumarate hydratase) fumaráthidra-táz; c-Fos = Finkel-Biskis-Jinkins-osteosarcoma; FX11 = kis molekulájú LDHA-inhibitor; G6PDH = (glucose-6-phos- Keywords

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“…Laboratory factors include inlammatory markers (for instance, C-reactive protein (CRP), erythrocyte sedimentation, or neutrophil lymphocyte ratio) [33,34], nutrition markers (for instance, albumin) [35,36], and tumor progression markers (for instance, calcium or lactate dehydrogenase) [37,38].…”

Section: Prognostic Factorsmentioning

confidence: 99%

Prognosis Prediction Models and their Clinical Utility in Palliative Care

Uneno¹,

Kanai²

2017

Highlights on Several Underestimated Topics in Palliative Care

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Prognosis prediction is a clinically relevant issue to facilitate optimal decision-making for both physicians and patients with cancer. Many previous studies revealed that prognosis prediction based on the physician's intuition and/or clinical experience is inaccurate and often optimistic, which means that there is a tendency to overestimate patient survival in daily clinical practice. In recent decades, many eforts have been made to develop prognosis prediction models which aid physicians to make more accurate prognosis prediction. In this chapter, we review the representative prognosis prediction models in palliative care and related studies. In addition, we refer to several prognosis prediction models developed by unique methods (for instance, case-crossover design or machine learning). Finally, we focus on the possible clinical utility of prognosis prediction models. In fact, no previous studies have clearly demonstrated whether the application of such prognosis prediction models truly beneits patient care in daily clinical practice.Therefore, we will discuss how the application of prognosis prediction models could beneit patients under palliative care.

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Lactate dehydrogenase as a prognostic factor for survival time of terminally ill cancer patients: A preliminary study

Cited by 79 publications

References 26 publications

Palliative gastrectomy and other factors affecting overall survival in stage IV gastric adenocarcinoma patients receiving chemotherapy: A retrospective analysis

Palliative gastrectomy and other factors affecting overall survival in stage IV gastric adenocarcinoma patients receiving chemotherapy: A retrospective analysis

A laktátdehidrogenáz (LDH) prognosztikai jelentősége az onkológiában

Prognosis Prediction Models and their Clinical Utility in Palliative Care

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