Clinicopathological Features, Treatment, and Prognosis in Primary Diffuse Large B Cell Lymphoma of the Breast: A Retrospective Study of 46 Patients

Predictive Modelling of Overall Survival in Adult Patients with Primary Diffuse Large B-cell Lymphoma of the Breast Using the Surveillance, Epidemiology, and End Results (SEER) Database

OBJECTIVE

We aimed to identify critical clinical features to develop an accurate webbased prediction model for estimating the overall survival (OS) of primary breast diffuse large Bcell lymphoma (PB-DLBCL) adult patients.

METHODS

We first included all PB-DLBCL cases with available covariates retrieved from the Surveillance, Epidemiology, and End Results database. We sequentially performed univariate and multivariate Cox regression approaches to identify the predictors independently associated with prognosis, and all the predictors that passed these tests were then constructed to build a nomogram for predicting 3-, 5-, and 10-year survival rates of patients. The C-index and the receiver operating characteristic curve (ROC) were used to evaluate the prediction discrimination, and the calibration curve was applied to estimate the calibration.

RESULTS

A total of PB-DLBCL adult patients were included (median age was 69 with the interquartile range [IQR] of 57-79 years), of which 466 (70%) were randomly allocated to the development cohort, and the remaining cases were collected for validation. Using three identified independent predictors (i.e., age, stage, and radiation), an accurate nomogram for predicting OS was developed and validated. The C-indices of our nomogram were both relatively acceptable, with 0.74 (95% CI: 0.71-0.78) and 0.72 (95% CI: 0.70-0.75) for the development and validation cohorts, respectively. The calibration curves also accurately predicted the prognosis of PB-DLBCL in all cases. In addition, ROC curves showed our nomogram to possess superior predictive ability compared to any single variable. To visually present this prediction model, a convenient webbased tool was implemented based on our prognostic nomogram.

CONCLUSION

For patients with PB-DLBCL, a more convenient and accurate web-based prediction model was developed and validated, which showed relatively good performances in both discrimination and calibration during model development and validation. External evaluation and validation are warranted by further independent studies.

An overview of the correlation between IPI and prognosis in primary breast lymphoma

Primary breast lymphoma (PBL), with diffuse large B-cell lymphoma (DLBCL) as the most histopathological type, is a rare disease with a poor prognosis. The International Prognostic Index (IPI) is an important clinical characteristic for risk stratification of PBL patients with different prognoses. However, the prognostic value of the IPI in PBL is controversial and needs to be refined. In this review, we described the clinical characteristics, pathogenesis, and treatment of PBL, with emphasis on the prognostic value of the IPI, its updated versions and IPIs for certain subtypes. A total of 9 types of IPIs were presented. In addition, the key issues with the various treatment modalities available were addressed, as well as the role of rituximab in therapy. We also summarized the current evidence and future challenges facing other types of prognostic indices. In particular, prospective clinical studies of treatment are rare, and the available data were mainly obtained from retrospective case series that included a small number of patients. Therefore, our conclusions and recommendations cannot serve as formal guidelines. However, this review attempts to provide an unbiased analysis of published data to provide clinicians with useful assistance in the treatment of this uncommon form of extranodal lymphoma.

Primary diffuse large B-cell lymphoma of the breast: A retrospective study of outcomes and insulin resistance

OBJECTIVES

To investigate the clinicopathological features, insulin resistance (IR) status, and the outcomes of populations with diffuse large B-cell lymphoma (DLBCL) of the breast.

METHODS

This study was carried out at Department of Haematology, the Fourth Hospital of Hebei Medical University, Shijiazhuang, China, that included 32 patients treated form January 2009 to June 2020. The primary endpoints of the study were their survival time.

RESULTS

There were 32 patients in the study. A total of 18 (56.2%) patients had IR. In terms of treatment, 31.2% were treated with surgery, most (93.8%) received chemotherapy, and 25% received radiotherapy and intrathecal therapy. Univariate analysis indicated the patients with stages III-IV, B symptoms, tumour recurrence, PAX5 positivity, and c-MYC positivity showed a shorter survival time (p<0.05). The overall survival and progression-free survival (PFS) rates in IR group were shorter than those without IR, but there was no statistical difference (p>0.05). Multivariate analysis indicated that tumour recurrence shortened the 5-year PFS of the patients (p=0.037).

CONCLUSION

Primary DLBCL of the breast was very rare; more than half of the cases had IR, but IR did not affect their survival.

The prognostic value of IPI in patients with primary breast lymphoma, a multicenter retrospective study

Background

Due to the rarity of PBL and the lack of large-scale studies, the prognostic value of IPI in PBL was controversial. Especially in the rituximab era, the ability of IPI to stratify prognosis in patients receiving immunochemotherapy was severely reduced. Then revised IPI (R-IPI) and National Comprehensive Cancer Network IPI (NCCN-IPI) were introduced. The present study aimed to evaluate the prognostic value of IPI and the other IPIs in patients with PBL in a Chinese population.

Methods

We performed a multicenter retrospective study of 71 patients with PBL from 3 institutions in China. The Kaplan–Meier method and log-rank tests were used for the survival analysis. Cox regression analysis was performed to evaluate the prognostic factors. Subgroup analysis was performed to assess the prognostic significance of IPI scores, R-IPI scores, and NCCN-IPI scores.

Results

The median follow-up was 4.7 years (0.7–21.8 years). The 5-year progression-free survival (PFS) and overall survival (OS) rates were 90.2% and 96.3%. In the multivariate analysis, only IPI scores and radiotherapy were significantly associated with OS and PFS (P < 0.05). Applying the R-IPI in our patient cohort indicates a significant difference in PFS between the two groups of R-IPI (P = 0.034) but not for OS (P = 0.072). And the NCCN-IPI was prognostic for OS (P = 0.025) but not for PFS (P = 0.066). Subgroup analyses of IPI showed that survival analysis of IPI scores for the PFS and OS of patients using rituximab were not significantly different (P > 0.05).

Conclusions

Our study confirms the prognostic value of IPI in patients with PBL, but the predictive value of IPI proved to be relatively low with the addition of the rituximab. The R-IPI and NCCN-IPI can accurately assess the high and low-risk groups of PBL patients but were insufficient to evaluate the intermediate risk group.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12935-022-02772-y.

Primary breast diffuse large B cell lymphoma

Primary breast lymphoma (PBL) is an uncommon type of breast malignancy. Its clinical presentation and radiographic findings are non-specific and overlap with breast carcinoma. The treatment of PBL differs significantly from breast carcinomas. Here we present a middle-aged woman who presented with an enlarging palpable right breast mass. Mammogram showed breast imaging-reporting and data system 4 findings. Breast mass biopsy pathology confirmed diffuse large B cell lymphoma. Although uncommon, clinicians should be cognisant of the possibility of PBL when patients present with a breast mass. Accurate diagnosis is essential to avoid unnecessary mastectomies.

Primary breast lymphoma initially diagnosed as invasive ductal carcinoma: A case report

A malignant tumor in the breast may not be conclusive of breast cancer. It is important to keep the possibility of primary breast lymphoma in rare scenarios. For the diagnosis of primary breast lymphoma, immunohistochemical staining is necessary.

Epidemiological features of primary breast lymphoma patients and development of a nomogram to predict survival

BACKGROUND

Studies on the epidemiology and prognosis of primary breast lymphoma (PBL) are lack for low incidence. Therefore, we aimed to investigate the epidemiological characteristics of PBL and develop nomograms to predict patient survival.

METHODS

Data of patients who were diagnosed with PBL from 1975 to 2011 and incidence rate of PBL from 1975 to 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Time-varying multivariable Cox regression analysis was performed to identify independent prognostic factors for overall survival (OS) and disease-specific survival (DSS). Nomograms were constructed based on the independent prognostic factors identified in multivariate Cox regression analysis.

RESULTS

A total of 1427 patients diagnosed with PBL were identified with the average age of 67.1 years. The overall incidence of PBL is 1.35/1,000,000 (adjusted to the United States standard population in 2000) from 1975 to 2017, with a significant upward trend by an annual percentage change (APC) of 2.91 (95%CI 2.29-3.94, P < 0.05). Age, sex, race, year of diagnosis, marital status, histological subtype, Ann Arbor Stage, and treatment modality were assessed as independent prognostic factors for OS and DSS by multivariable Cox regression (P < 0.05). Nomograms were constructed to predict the 1-, 3-, 5-, and 10- year OS and DSS. The concordance index (C-index) and calibration plots showed robustness and accuracy of the nomogram.

CONCLUSION

The overall incidence of PBL was steadily increasing over the past four decades. Nomograms constructed can predicting 1-, 3-, 5-, and 10-year OS and identify patients with high-risk PBL.