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

The controlling nutritional status score as a predictor of survival in hematological malignancies: a systematic review and meta-analysis

Objective

The controlling nutritional status score (CONUT) has been widely used for ascertaining the prognosis of various cancers. However, its use in patients with hematological malignancies remains unclear. This review examined evidence on the utility of CONUT as a prognostic marker for patients with hematological malignancies.

Methods

All cohort studies that examined the association between CONUT and outcomes of hematological malignancies and were published on the databases of Embase, Scopus, CENTRAL, Web of Science, and PubMed were searched from the inception of the databases to 30 January 2024. The primary outcome was overall survival (OS), and the secondary outcome was progression-free survival (PFS).

Results

A total of 23 studies were available for review. A meta-analysis of 22 studies showed that high CONUT was significantly associated with poor OS in patients with hematological malignancies (HR: 1.95 95% CI: 1.62, 2.35 I 2 = 89%). The results remained unchanged on sensitivity and subgroup analyses based on study location, sample size, diagnosis, CONUT cutoff, and the Newcastle-Ottawa Scale score. Only six studies reported data on PFS, and the pooled analysis found that high CONUT was a significant marker for poor PFS in patients with hematological malignancies [hazards ratio (HR): 1.64 95% CI: 1.21, 2.20 I 2 = 70%]. These results, too, maintained significance in the sensitivity analysis.

Conclusion

CONUT is an independent predictor of poor OS in patients with hematological malignancies. The results appear to be valid across different cancer types and with different CONUT cutoffs. Scarce data also suggest that CONUT could predict PFS.

Prognostic and clinicopathological significance of the Controlling Nutritional Status (CONUT) score in patients with lymphoma: a meta-analysis

OBJECTIVES

The role of the Controlling Nutritional Status (CONUT) scores in predicting the prognosis of lymphoma cases has been extensively explored, with no consistent results. The present meta-analysis focused on accurately evaluating whether CONUT could be used to predict the prognosis of lymphoma cases and its clinicopathological value.

DESIGN

The present meta-analysis was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The prognostic significance of CONUT to overall survival (OS) and progression-free survival (PFS) in lymphoma was estimated by calculating pooled HRs with 95% CIs. The relationship between CONUT and clinicopathological characteristics was measured based on pooled ORs with 95% CIs.

DATA SOURCES

PubMed, Web of Science, Embase and Cochrane Library databases were comprehensively searched from inception through 24 March 2023.

STATISTICAL METHODS

Either a random-effects model or a fixed-effects model was selected depending on the level of heterogeneity among the included studies.

RESULTS

This meta-analysis enrolled seven articles, containing 2060 patients with lymphoma. According to the pooled analysis, a higher CONUT score significantly predicted poor OS (HR=1.94, 95% CI 1.46 to 2.57, p<0.001) as well as poorer PFS (HR=1.51, 95% CI 1.04 to 2.20, p=0.031). Furthermore, according to the combined analysis, a higher CONUT score was significantly associated with Ann Arbor stages III-IV (OR=3.75, 95% CI 2.96 to 4.75, p<0.001), an Eastern Cooperative Oncology Group performance status of 2-4 (OR=5.14, 95% CI 3.97 to 6.65, p<0.001), high-intermediate/high National Comprehensive Cancer Network International Prognostic Index (OR=8.05, 95% CI 5.11 to 12.66, p<0.001), B symptoms (OR=4.97, 95% CI 2.89 to 8.52, p<0.001), extranodal disease (OR=3.25, 95% CI 2.24 to 4.70, p<0.001), bone marrow involvement (OR=4.86, 95% CI 3.25 to 7.27, p<0.001) and elevated lactate dehydrogenase levels (OR=3.21, 95% CI 2.37 to 4.34, p<0.001).

CONCLUSIONS

According to our results, higher CONUT scores were significantly associated with poor OS and PFS in lymphoma.

Prognostic Value of 18F-FDG PET/CT Radiomics in Extranodal Nasal-Type NK/T Cell Lymphoma

OBJECTIVE

To investigate the prognostic utility of radiomics features extracted from 18F-fluorodeoxyglucose (FDG) PET/CT combined with clinical factors and metabolic parameters in predicting progression-free survival (PFS) and overall survival (OS) in individuals diagnosed with extranodal nasal-type NK/T cell lymphoma (ENKTCL).

MATERIALS AND METHODS

A total of 126 adults with ENKTCL who underwent 18F-FDG PET/CT examination before treatment were retrospectively included and randomly divided into training (n = 88) and validation cohorts (n = 38) at a ratio of 7:3. Least absolute shrinkage and selection operation Cox regression analysis was used to select the best radiomics features and calculate each patient's radiomics scores (RadPFS and RadOS). Kaplan-Meier curve and Log-rank test were used to compare survival between patient groups risk-stratified by the radiomics scores. Various models to predict PFS and OS were constructed, including clinical, metabolic, clinical + metabolic, and clinical + metabolic + radiomics models. The discriminative ability of each model was evaluated using Harrell's C index. The performance of each model in predicting PFS and OS for 1-, 3-, and 5-years was evaluated using the time-dependent receiver operating characteristic (ROC) curve.

RESULTS

Kaplan-Meier curve analysis demonstrated that the radiomics scores effectively identified high- and low-risk patients (all P < 0.05). Multivariable Cox analysis showed that the Ann Arbor stage, maximum standardized uptake value (SUVmax), and RadPFS were independent risk factors associated with PFS. Further, β2-microglobulin, Eastern Cooperative Oncology Group performance status score, SUVmax, and RadOS were independent risk factors for OS. The clinical + metabolic + radiomics model exhibited the greatest discriminative ability for both PFS (Harrell's C-index: 0.805 in the validation cohort) and OS (Harrell's C-index: 0.833 in the validation cohort). The time-dependent ROC analysis indicated that the clinical + metabolic + radiomics model had the best predictive performance.

CONCLUSION

The PET/CT-based clinical + metabolic + radiomics model can enhance prognostication among patients with ENKTCL and may be a non-invasive and efficient risk stratification tool for clinical practice.

Integrative Approaches in the Treatment of Patients Affected by Lymphoma

PURPOSE OF REVIEW

Lymphoma is the most frequent hematological malignancy with wide disease spectrum of watchful waiting period, active treatment, survivorship, and palliative care. All these steps impose unmet needs in terms of prevention, symptom alleviation, or prognosis. Complementary and integrative medicine (CIM) is widely used by patients with lymphoma to cope with such issues. Here, we describe the different CIM modalities that may be effective and safe for the management of patients with lymphoma.

RECENT FINDINGS

Low inflammatory diet and ginseng seem effective for lymphoma prevention. Pain and neuropathy may be improved using acupuncture, touch therapy and specific dietary supplements. Nausea/vomiting, fatigue, and insomnia may be relieved by acupuncture, mind-body, touch therapy, and certain dietary supplements. Vitamin D, curcumin, and some traditional medicine herbs may positively impact lymphoma prognosis. Finally, safety issues should be considered especially for the concomitant use of dietary supplements and lymphoma-directed therapies. CIM may be beneficial along the continuum of lymphoma management although safety concerns should be considered when used concomitantly with conventional therapy.