Dataset Information

Clinical Features, Phenotypic Markers and Outcomes of Diffuse Large B-Cell Lymphoma between HIV-Infected and HIV-Uninfected Chinese Patients.

ABSTRACT: Background: The effect of HIV infection on the clinicopathological characteristics of diffuse large B-cell lymphoma (DLBCL) remains debatable. Methods: Fifty-three HIV-infected and ninety-three HIV-uninfected DLBCL patients were enrolled in the retrospective study by propensity score matching for sex, age, body mass index and international prognostic index (IPI) at a ratio of 1:2. The clinicopathological characteristics were compared between the two groups. Results: HIV-infected DLBCL patients had lower white blood cell counts [×10⁹/L; 4.4 (3.4-5.6) vs. 6.1 (4.2-8.2), p < 0.001], platelet counts (×10⁹/L; 184.7 ± 89.3 vs. 230.0 ± 113.9, p = 0.014) and serum albumin (g/L; 37.3 ± 6.9 vs. 41.3 ± 6.2, p < 0.001) but higher incidences of central nervous system (CNS) involvement (9.4% vs. 1.1%, p = 0.014), bone marrow involvement (24.5% vs. 11.5%, p = 0.044) and Epstein-Barr viremia (61.1% vs. 26.7%, p = 0.002) than HIV-uninfected patients. In terms of histopathology, HIV-infected patients had higher positivity of Epstein-Barr virus-encoded small RNA (EBER) (41.7% vs. 6.7%, p = 0.002), but lower CD20 (90.2% vs. 98.7%, p= 0.029) and CD79a (23.1% vs. 53.7%, p < 0.001) expression. The overall response rate (ORR) at the end of chemotherapy (70.2% vs. 87.8%, p= 0.012) and 1-year overall survival (OS) (61.7% vs. 84.2%, log-rank p = 0.006) in HIV-infected patients were significantly lower than those in HIV-uninfected patients. Multivariate analysis suggested IPI ≤2.0 [adjusted odds ratio (AOR) (95% confidence interval): 5.0 (1.2-21.2), p = 0.030] was associated with ORR, hypoalbuminemia [AOR: 3.3 (1.3-9.1), p = 0.018] and CNS involvement [AOR: 3.3 (1.0-10.5), p = 0.044] were associated with reduced 1-year OS in HIV-infected patients. Conclusion: HIV-infected DLBCL patients have unique blood profiles and phenotypic markers. Low ORR and 1-year OS were observed in HIV-infected DLBCL patients in our study, even in the HAART era.

SUBMITTER: Zhou M

PROVIDER: S-EPMC9655449 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Clinical Features, Phenotypic Markers and Outcomes of Diffuse Large B-Cell Lymphoma between HIV-Infected and HIV-Uninfected Chinese Patients.

Zhou Minghan M Cheng Jinlin J Zhao Handan H Yang Min M Yu Wenjuan W Qin Jiaying J Lang Guanjing G Tao Ran R Cao Qing Q Huang Ying Y Zhu Biao B Xu Lijun L

Cancers 20221031 21

Background: The effect of HIV infection on the clinicopathological characteristics of diffuse large B-cell lymphoma (DLBCL) remains debatable. Methods: Fifty-three HIV-infected and ninety-three HIV-uninfected DLBCL patients were enrolled in the retrospective study by propensity score matching for sex, age, body mass index and international prognostic index (IPI) at a ratio of 1:2. The clinicopathological characteristics were compared between the two groups. Results: HIV-infected DLBCL patients h ...[more]

PMID: 36358798

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Project description:Radiomics features may predict outcome in diffuse large B-cell lymphoma (DLBCL). Currently, multiple segmentation methods are used to calculate metabolic tumor volume (MTV). We assessed the influence of segmentation method on the discriminative power of radiomics features in DLBCL at the patient level and for the largest lesion. Methods: Fifty baseline 18F-FDG PET/CT scans of DLBCL patients with progression or relapse within 2 years after diagnosis were matched on uptake time and reconstruction method with 50 baseline PET/CT scans of DLBCL patients without progression. Scans were analyzed using 6 semiautomatic segmentation methods (SUV threshold of 4.0 [SUV4.0], SUV threshold of 2.5, 41% of SUVmax, 50% of SUVpeak, a majority vote segmenting voxels detected by ≥2 methods, and a majority vote segmenting voxels detected by ≥3 methods). On the basis of these segmentations, 490 radiomics features were extracted at the patient level, and 486 features were extracted for the largest lesion. To quantify the agreement between features extracted from different segmentation methods, the intraclass correlation (ICC) agreement was calculated for each method compared with SUV4.0. The feature space was reduced by deleting features that had high Pearson correlations (≥0.7) with the previously established predictors MTV or SUVpeak Model performance was assessed using stratified repeated cross validation with 5 folds and 2,000 repeats, yielding the mean receiver-operating-characteristics curve integral for all segmentation methods using logistic regression with backward feature selection. Results: The percentage of features yielding an ICC of at least 0.75, compared with the SUV4.0 segmentation, was lowest for 50% of SUVpeak both at the patient level and for the largest lesion, with 77.3% and 66.7% of the features yielding an ICC of at least 0.75, respectively. Features did not correlate strongly with MTV, with at least 435 features at the patient level and 409 features for the largest lesion for all segmentation methods having a correlation coefficient of less than 0.7. Features correlated strongly with SUVpeak (at least 190 at patient level and 134 for the largest lesion were uncorrelated to SUVpeak, respectively). Receiver-operating-characteristics curve integrals ranged between 0.69 ± 0.11 and 0.84 ± 0.09 at the patient level and between 0.69 ± 0.11 and 0.73 ± 0.10 at the lesion level. Conclusion: Even though there are differences in the actual radiomics feature values derived and selected features among segmentation methods, there is no substantial difference in the discriminative power of radiomics features among segmentation methods.

Dataset Information

Clinical Features, Phenotypic Markers and Outcomes of Diffuse Large B-Cell Lymphoma between HIV-Infected and HIV-Uninfected Chinese Patients.

Publications

Clinical Features, Phenotypic Markers and Outcomes of Diffuse Large B-Cell Lymphoma between HIV-Infected and HIV-Uninfected Chinese Patients.

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