Host‐related factors and cancer: Malnutrition and non‐Hodgkin lymphoma

Mancuso, Salvatrice; Mattana, Marta; Santoro, Marco; Carlisi, Melania; Buscemi, Silvio; Siragusa, Sergio

doi:10.1002/hon.3002

Cited by 8 publications

(3 citation statements)

References 132 publications

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“…In cancer patients, malnutrition is a common comorbidity and is strongly correlated with both treatment efficacy and patient survival. 12 , 13 As an efficient index for the early detection and ongoing screening of malnutrition, the controlling nutritional status (CONUT) score, originally reported in 2005, consists of total lymphocyte counts (TL), total cholesterol level (T‐CHOL), and serum albumin (ALB). 14 Currently, several studies have shown that the CONUT score has prognostic value for hematological malignancies, such as diffuse large B‐cell lymphoma (DLBCL), peripheral T‐cell lymphoma (PTCL), and multiple myeloma (MM).…”

Section: Introductionmentioning

confidence: 99%

“…In cancer patients, malnutrition is a common comorbidity and is strongly correlated with both treatment efficacy and patient survival 12,13 . As an efficient index for the early detection and ongoing screening of malnutrition, the controlling nutritional status (CONUT) score, originally reported in 2005, consists of total lymphocyte counts (TL), total cholesterol level (T‐CHOL), and serum albumin (ALB) 14 .…”

Section: Introductionmentioning

confidence: 99%

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A controlling nutritional status score is an independent predictor for patients with newly diagnosed nasal‐type extranodal NK/T‐cell lymphoma based on asparaginase‐containing regimens

Ren

Chen

et al. 2023

Cancer Medicine

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Background The controlling nutritional status (CONUT) score is a nutritional index that combines serum albumin, total cholesterol, and lymphocyte counts. The potential value of CONUT score for predicting clinical outcomes in patients with nasal‐type extranodal NK/T‐cell lymphoma (ENKTL) has not been explored. Methods This study included 374 ENKTL patients treated with asparaginase‐containing regimens from September 2012 to September 2017. Clinical characteristics, treatment efficacy, prognostic factors, and the predictive value of CONUT score were analyzed. Results The complete response (CR) and overall response rate (ORR) were 54.8% and 74.6%, respectively. Patients with CONUT scores <2 had higher CR and ORR compared to patients with scores ≥2 (69.1% vs. 48.9% for CR, p = 0.001; 90.0% vs. 74.6% for ORR, p < 0.001). The 5‐year overall survival (OS) and progression‐free survival (PFS) rates were 61.9% and 57.3%, respectively. Patients with CONUT scores <2 had better survival outcomes than those with scores ≥2 (5‐year OS, 76.1% vs. 56.0%, p < 0.001; 5‐year PFS, 74.4% vs. 50.1%, p < 0.001). CONUT score ≥2 was identified as an independent poor prognostic factor for both OS and PFS. A CONUT score ≥2 was also associated with poorer survival outcomes in low‐risk ENKTL patients. Conclusion A CONUT score ≥2 is a prognostic marker for poor survival in patients with ENKTL and could be used to stratify risk in low‐risk patients.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A controlling nutritional status score is an independent predictor for patients with newly diagnosed nasal‐type extranodal NK/T‐cell lymphoma based on asparaginase‐containing regimens

Ren

Chen

et al. 2023

Cancer Medicine

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“…There is a recent study showing that NRS‐2002 screening may not be essential before GLIM in patients with solid tumors, whereas whether the same conclusion can be drawn in lymphoma remains unclear 18 . Mancuso et al 19 reviewed the existing literature on interactions between malnutrition and lymphoma and noted that there is still no consensus on the best tool for nutritional assessment.…”

Section: Introductionmentioning

confidence: 99%

Malnutrition diagnosed by GLIM criteria better predicts long‐term outcomes for patients with non‐Hodgkin's lymphoma: A prospective multicenter cohort study

Zou

et al. 2022

Hematological Oncology

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Since Global Leadership Initiative on Malnutrition (GLIM) method was proposed, few studies have applied these new criteria to hematological tumors. In this study, we explored the prevalence of malnutrition according to the GLIM criteria and scored Patient‐Generated Subjective Global Assessment (sPG‐SGA) and their association with 1‐year, 3‐year and 5‐year mortality among patients with non‐Hodgkin's lymphoma (NHL). Malnutrition of all patients were assessed by GLIM criteria and sPG‐SGA. Relationship between the malnutrition based on GLIM criteria or sPG‐SGA and mortality was investigated by Cox regression analyses. The performance of GLIM criteria was evaluated by assessing the sensitivity, specificity, k‐value, receiver operating characteristic (ROC) curve and time‐dependent ROC. Of 963 patients with NHL, the prevalence of malnutrition was 38.8% with GLIM criteria, 65.3% with GLIM‐omitted NRS‐2002 and 53.2% with sPG‐SGA. In comparison with sPG‐SGA, the sensitivity of GLIM criteria was 61.7%, the specificity was 84.8%, and the agreement was moderate (k = 0.48, p < 0.001). Malnutrition based on GLIM criteria could also predict 3‐year and 5‐year mortality after adjusting for confounders, except for sPG‐SGA (HR = 1.816, 95%CI = 1.274–2.589, p = 0.001 for 3‐year mortality; HR = 1.707, 95%CI = 1.223–2.382, p = 0.002 for 5‐year mortality). For patients with NHL, GLIM criteria could be applied as an effective replacement to sPG‐SGA for nutrition assessment and mortality prediction, especially for predicting long‐term prognostic outcomes.

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Host‐related factors and cancer: Malnutrition and non‐Hodgkin lymphoma

Mancuso

Mattana

Santoro

et al. 2022

Hematological Oncology

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Assessment of host‐related factors is a crucial aspect in the comprehensive management of cancer patients. A distinct nutritional disturbance linked to cancer has been recognized to be associated with negative outcomes. However, compared to solid tumors, only a limited number of studies have looked specifically at nutritional issues in the field of lymphoma. The aim of this review is to integrate the current knowledge on interactions between malnutrition and lymphoma and address most relevant and pertinent questions. We first provide a literature review on the mutual biological relationship between malnutrition and lymphoma. Next, we explore the overlap between malnutrition, sarcopenia, cachexia and frailty in lymphoma studies. In addition, we summarize the clinical assessment scales used to measure malnutrition in lymphoma subjects. Furthermore, we address the problem of nutritional interventions aimed at patients who are candidates for treatment for lymphoma. Malnutrition can arise as a consequence of lymphoma disease and can in turn promote lymphomagenesis, negatively affect the response to therapy and favor adverse event to treatment. There is increasing evidence that malnutrition, sarcopenia and cachexia in lymphoma are intimately inter‐related and are a hallmark of frailty. A variety of different tools are recorded with the apparent ability to describe nutritional status and to impact prognosis in lymphoma patients. Finally, a network of prognostic host‐ and disease‐related factors is proposed where malnutrition can interact with each other in complex ways.

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Host‐related factors and cancer: Malnutrition and non‐Hodgkin lymphoma

Cited by 8 publications

References 132 publications

A controlling nutritional status score is an independent predictor for patients with newly diagnosed nasal‐type extranodal NK/T‐cell lymphoma based on asparaginase‐containing regimens

A controlling nutritional status score is an independent predictor for patients with newly diagnosed nasal‐type extranodal NK/T‐cell lymphoma based on asparaginase‐containing regimens

Malnutrition diagnosed by GLIM criteria better predicts long‐term outcomes for patients with non‐Hodgkin's lymphoma: A prospective multicenter cohort study

Host‐related factors and cancer: Malnutrition and non‐Hodgkin lymphoma

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