[Analysis of Histologic Transformation and Prognosis for Follicular Lymphoma].

OBJECTIVE: To investigate the related factors of invasive transformation and prognosis for follicular lymphoma. METHODS: A total of 168 patients with follicular lymphoma at First Affiliated Hospital of Zhengzhou University from August 2015 to January 2021 were collected, and the significance of each index in histological transformation (HT) and prognosis were analyzed. RESULTS: Pathology grade3, Ki-67 index ≥40%, ß2MG＞3 mg/L, LDH＞245 U/L, POD24 and non-invasion of bone marrow were associated with HT. Univariate analysis showed that the high risk of FLIPI-2, pathological grade 3, Ki-67≥40%, anemia, ß2MG＞3 mg/L, LDH＞245 U/L and HT had significant adverse effects on PFS; ß2MG＞3 mg/L, LDH＞245 U/L, POD24 and HT had significant adverse effects on OS. Cox multivariate analysis showed that the ß2MG >3 mg/L and HT were independent risk factors of PFS, HT was independent risk factor of OS. CONCLUSION: The pathological grade, Ki-67, ß2MG, LDH, POD24 and bone marrow invasion of FL can predict the risk of HT. Meanwhile, ß2MG >3 mg/L and HT are significantly related to poor prognosis of FL.

Diffuse optical spectroscopy for monitoring the responses of patients with breast cancer to neoadjuvant chemotherapy: A meta-analysis.

BACKGROUND: This study aimed to investigate the potential of diffuse optical spectroscopy (DOT) for monitoring the responses of patients with breast cancer to neoadjuvant chemotherapy (NAC). METHODS: We searched PubMed, EMBASE, Cochrane Database of Systematic Reviews, and Web of Science for relevant studies. Data were extracted for pooled analysis, heterogeneity testing, threshold effect testing, sensitivity analysis, publication bias analysis, and subgroup analysis. RESULTS: The pooled meta-analysis of the 10 eligible studies that included 422 patients indicated the high performance of DOT for monitoring total patient responses to NAC (OR = 14.78, 95% CI: 8.23-26.54, P < .001), with low significant heterogeneity (I = 7.2%, P = .375). DOT possessed an area under the curve of 0.84 (95% CI: 0.81-0.87) to distinguish total patient responses to NAC. Subgroup analysis showed that the pooled sensitivity of DOT for monitoring pathologic complete response to NAC was 87%, and the pooled specificity was 70%. Meanwhile, the pooled sensitivity of DOT for monitoring pathologic complete and partial responses to NAC was 82%, and the pooled specificity was 82%. Although Begg's funnel plot (P = .049) indicated the presence of publication bias among the included studies, trim-and-fill method verified the stability of the pooled outcomes. CONCLUSION: Our meta-analysis of available published data indicated that DOT can be potentially used to predict and monitor patient responses to NAC. A larger study population is needed to fully assess the use of DOT for guiding therapies and predicting responses of individual subjects to NAC.