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Enregistrement W2342405106 · doi:10.14740/jem.v6i2.342

Hypertriglyceridemia: An Open Door for Cancer Treatment?

2016· article· en· W2342405106 sur OpenAlexvenueno aff
Le Yu Khine, Jamila Benmoussa, Andrew Thorp, Neena Chandrasekaran, Thomas Forlenza, Dennis A. Bloomfield

Notice bibliographique

RevueJournal of Endocrinology and Metabolism · 2016
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCancer, Lipids, and Metabolism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHypertriglyceridemiaMedicineCancerLipogenesisVery low-density lipoproteinFatty acid synthaseInternal medicineLipid metabolismLeukemiaCancer researchLipoproteinEndocrinologyTriglycerideCholesterol

Résumé

récupéré en direct d'OpenAlex

Does lipid management have a significant role in cancer treatment? Could hypertriglyceridemia be an accelerating factor in certain tumors? These questions have grown from the long-standing recognition of the relationship of lipids to certain cancers. Cancers express high levels of lipid synthase, the enzyme responsible for the production of fatty acids. Lymphoma and other cancers have been found to have the ability to generate the lipids via de novo lipogenesis at a rate faster than other lipogenetic tissues [1]. Continuous de novo lipogenesis provides cancer cells with membrane building blocks, signaling lipid molecules, posttranslational modifications of proteins as well as energy supply to support rapid cell proliferation [2]. Protection of cancer cells by apoptosis by overexpression of fatty acid synthase (FASN) also helps the progression of the cancer [2]. Recent studies have documented the changes in lipid levels in the etiology and most importantly prognosis of cancer [3, 4]. There are many studies that have shown that the degree of lipid abnormality was directly related to the underlying tumor burden in addition to the abnormality in triglyceride clearance [5]. In one study, 25 patients with acute leukemia and nonHodgkin’s lymphoma (NHL) were studied; all patients demonstrated an abnormality in at least one plasma lipid fraction that consisted of extremely low levels of high density lipoprotein (HDL), elevated triglycerides (TG) and elevated very low density lipoprotein (VLDL). The levels were found to be normalized after recovery [5]. Another study was performed to investigate serum lipid alterations in patients with acute lymphoblastic leukemia (ALL) at diagnosis and during remission of the disease. Plasma lipids and lipoproteins were measured at diagnosis, prior to the administration of induction treatment, and every 2 months for the first 12 months of the maintenance phase of chemotherapy in 64 patients with ALL. Nearly all patients demonstrated serum lipid alterations which included elevated TG, LDL and cholesterol and values were returned back to normal during remission [6]. This points out the direct link between cancer progression and lipid levels. Metastasis is another interesting area in which the lipid level can correlate with disease burden. In one study, 205 Iranian patients from Semnan Oncology Clinic were studied and there was a significant association between higher levels of serum LDL and metastasis [7]. Aggressiveness of the tumor including metastasis can be highlighted by the levels of lipids. This brings up to the point of our case. We present a patient with stage IV diffuse large B-cell NHL with diffuse involvement of the bone and liver whose course was complicated with an incidental finding of hypertriglyceridemia. A 67-year-old Caucasian male with a past medical history of chronic obstructive pulmonary disease, diabetes mellitus, hypertension, coronary artery disease, and pulmonary embolism was admitted to the hospital for severe lower back pain and significant weight loss for 1 month. He denied any familial or personal history of hypertriglyceridemia. Physical examination was remarkable for pale conjunctivae, positive straight leg test on the left lower extremity, and a limited range of motion in his right upper extremity. There was no point tenderness noted in his back but there was mild tenderness to palpation of the right chest wall. CT abdomen imaging revealed several masses in the liver which involved the lateral segment of the left lobe, the medial segment, and an illdefined mass in the right lobe posteriorly. Biopsy of the liver demonstrated evidence for diffuse large B-cell NHL and bone marrow involvement was also seen in bone marrow biopsy. Lipid profile drawn 2 years ago were found to be TG 195 mg/ dL, cholesterol 146 mg/dL, LDL 74 mg/dL, VLDL 39 mg/dL and HDL 33 mg/dL. The lipid panel had changed dramatically during this admission demonstrating TG 1,154 mg/dL, cholesterol 204 mg/dL, and HDL 4 mg/dL, and LDL and VLDL were unable to be calculated. This unusual level of TG highlighted the aggressiveness of the tumor and more importantly the prognosis of the cancer. The patient was treated with gemfibrozil and insulin. TG levels were markedly improved from 1,154 to 690 mg/dL. The patient deteriorated before initiation of chemotherapy and expired. The issue of interest in this case is not the specific attributes of the cancer discussed but of the rise and fall of TG associated with it. The possible implications of this event may correlate with the aggressiveness of the tumor or the type of cancer and presents an intriguing possibility of manipulating this process as a means of treatment. The current standards for Manuscript accepted for publication March 24, 2016

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,033

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0020,005
Science ouverte0,0010,001
Intégrité de la recherche0,0040,007
Charge utile insuffisante (le modèle a refusé de juger)0,0100,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,320
Écart entre enseignants0,294 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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