Prognostic nomogram for adult patients with acute myeloid leukemia: A SEER database analysis

Nomogram models predicting prognosis for patients with t(8;21) acute myeloid leukemia: a SEER-based study

BACKGROUND

Acute myeloid leukemia (AML) with t(8;21) manifests as a diverse hematological malignancy. Although it was categorized into a favorable subtype, 30-40% of patients experience relapse. The objective of this research was to devise a nomogram for the accurate anticipation of both overall survival (OS) and cancer-specific survival (CSS) in t(8;21) AML.

METHODS

From the Surveillance, Epidemiology, and End Results (SEER) database, individuals diagnosed with t(8;21) AML from 2000 to 2018 were selected. Prognostic factors for t(8;21) AML were identified using Cox regression analysis and Akaike Information Criterion (AIC), forming the basis for constructing prognostic nomograms.

RESULTS

Key variables, including first primary tumor, age group, race, and chemotherapy, were identified and integrated into the nomogram. The C-index values for the nomograms predicting OS and CSS were 0.753 (validation: 0.765) and 0.764 (validation: 0.757), respectively. Ultimately, based on nomogram scores, patients were stratified into high-risk and low-risk groups, revealing significant disparities in both OS and CSS between these groups (P < 0.001).

CONCLUSION

This study innovatively crafted nomograms, incorporating clinical and therapeutic variables, to forecast the 1-, 3-, and 5-year survival rates for individuals with t(8;21) AML.

Prognostic effect of gender on outcome of treatment for adults with acute myeloid leukaemia

There are conflicting reports in the literature suggesting that one gender or the other has a better survival with acute myeloid leukaemia (AML). The present study was done in an attempt to resolve the issue. The effect of gender was examined on 3546 newly diagnosed patients with AML, including 548 patients with acute promyelocytic leukaemia (APL) enrolled in 10 multi-institutional treatment studies from March 1984 to November 2008. Kaplan-Meier estimates were used to estimate event-time distributions for survival and multivariate models were used to examine the gender effect after adjusting for multiple risk factors. P values were based on two-sided tests. Non-APL female patients had a significantly better overall (OS) but not disease-free survival (DFS) than males, irrespective of age, initial white blood cell count, or dose of daunorubicin. No differences were observed for obese or FMS-like tyrosine kinase 3-internal tandem duplication (FLT3-ITD)-positive patients. Female patients with APL had a significantly better OS and DFS than male patients with APL, and differences in survival were greater for patients with t(15;17) + other cytogenetic abnormalities compared with those with t(15;17) only. Gender is an independent prognostic variable in patients with AML. Whether these survival differences are due to hormonal, genetic or pharmacokinetic differences between the sexes or differential toxin exposure such as smoking is unknown. However, the former seems less likely as patient age did not influence the survival advantage for female patients.

Real-World Outcomes of Patients with Acute Myeloid Leukemia in Taiwan: A Nationwide Population-Based Study, 2011-2015

BACKGROUND

Acute myeloid leukemia (AML) is a hematological malignancy originating from myeloid precursor cells, with different cytogenetic abnormalities, genetic mutations and diverse clinical prognoses. We investigated the clinical characteristics, treatment patterns, and outcomes of adult AML patients in Taiwan.

MATERIALS AND METHODS

We retrospectively included 3851 patients with AML in the Taiwan Cancer Registry Database from 2011 to 2015. We excluded patients younger than 20 years, with acute promyelocytic leukemia, and with no pathological confirmation.

RESULTS

Among the 3292 patients included, 2179 received induction chemotherapy and 1113 did not, because of older age and higher Charlson comorbidity index (CCI) score. Among the 2179 treated patients, 162 received high-dose cytarabine-based chemotherapy, 1535 received standard-dose cytarabine with anthracyclines, 209 received low-dose cytarabine-based chemotherapy, and 273 received chemotherapy without cytarabine. Patients in the low-dose cytarabine group had the oldest age and highest CCI scores compared with the other groups. In the analysis of overall survival (OS), the median OS of the overall study population was 6.27 months. Treated patients with AML had a longer OS than untreated ones (12.43 months treated vs. 2.03 months not treated; P < .0001). In the multivariate analyses of the treated patients with AML, several factors indicated better prognosis, including receiving standard-dose or high-dose cytarabine, female sex, younger age, lower CCI score, treatment at a medical center, favorable cytogenetic abnormalities, and allogeneic hematopoietic stem cell transplantation.

CONCLUSION

Our study was a population-based study that illustrates the real-world outcomes of adult patients with AML in Taiwan.

Cytotoxic effect of CLL‑1 CAR‑T cell immunotherapy with PD‑1 silencing on relapsed/refractory acute myeloid leukemia

The activation of chimeric antigen receptor (CAR)-T cells can lead to persistently high levels of programmed cell death 1 (PD-1) antigen and eventually causes the exhaustion of T cells. The effectiveness of CAR-T cells targeting C-type lectin-like molecule-1 (CLL-1) combined with PD-1 silencing therapy for acute myeloid leukemia (AML) was evaluated in the present study. CLL-1 levels in primary AML bone marrow samples was examined using flow cytometric analysis. We designed a CLL-1 CAR-T, containing CLL-1-specific single-chain variable fragment, CD28, OX40, CD8 hinge and TM and CD3-ζ signaling domains. CLL-1 CAR-T with PD-1 silencing was constructed. It was confirmed that CLL-1 is expressed on the surface of AML cells. CLL-1 CAR-T showed specific lysing activity against CLL-1⁺ AML cells. PD-1 silencing enhanced the killing ability of CLL-1 CAR-T. Furthermore, it was found that CAR-T derived from healthy donor T cells was more effective in killing THP-1 cells (a human acute monocytic leukemia cell line) than those from patient-derived T cells. These results indicated that CLL-1 CAR-T and PD-1 knockdown CLL-1 CAR-T could be used as a potential immunotherapy to treat relapsed or refractory AML.

The establishment and evaluation of a new model for the prediction of Children B-ALL based on TARGET: A SQUIRE-compliant study

B lymphocytic leukemia (B-ALL) is a hematopoietic malignant disease characterized by an accumulation of early B cells. This study aimed to construct a children B-ALL Nomogram prediction model based on Therapeutically Applicable Research to Generate Effective Treatments database, so as to further guide clinical diagnose and treatment.Clinical data related to children B-ALL were collected from the TARGET database, among which, the stage II clinical data were used as the prediction model, while the stage I clinical data were utilized as the external verification model. The stage II clinical factors were analyzed through Lasso regression analysis to screen the risk factors for the construction of Nomogram prediction model. In addition, the model prediction capacity and accuracy were verified internally and externally using the ROC curve, C-index and calibration curve, respectively.A total of 1316 B-ALL children were enrolled in this study. Lasso regression analysis revealed that, Age, Gender, WBC, CNSL, MRD29, BMR, CNS R, BCR-ABL1, BMA29, DS, and DI were the important prognostic risk factors. The C-index values of internal and external verification models were 0.870 and 0.827, respectively, revealing the ideal model discriminating capacity. Besides, the calibration curve had high contact ratio, which suggested favorable consistency between the incidence predicted by the model and the actual incidence. Moreover, the AUC values of the ROC curve were 0.858, 0.787, 0.898, and 0.867, respectively, indicating high model prediction accuracy in predicting the 3- and 5-year survival rates of children with B-ALL.The Nomogram prediction model plotted in this study exhibits favorable prediction capacity and clinical practicability for the survival rate of B-ALL children, which contributes to patients screening and clinical intervention.