Primary Nodal Epstein-Barr Virus-Positive T-Cell/NK-Cell Lymphoma: Real-World Experience.
Primary nodal Epstein-Barr virus-positive T-cell/NK-cell lymphoma (PTCL-EBV) is a disease entity newly recognized in the World Health Organization's classification of hematolymphoid tumors, 5th edition (WHO-HAEMS5) and the International Consensus Classification of Mature Lymphoid Neoplasms (ICC). Previously, it was classified as a subtype within peripheral T-cell lymphoma, not otherwise specified, and was known to have a poor prognosis. However, the clinical features and treatment outcomes are not well known.
This retrospective observational study was conducted on patients diagnosed with PTCL-EBV at Samsung Medical Center through a pathology review from 2000 to 2020. We analyzed the clinical data from 14 patients, immunohistochemistry, and survival outcomes including overall survival (OS) and progression-free survival (PFS) for each treatment regimen. PFS was defined as the time from the start of chemotherapy to the confirmation of disease progression on imaging, and hematopoietic stem-cell transplantation (HSCT) was considered a consolidation treatment. OS was defined as the time from diagnosis to the time of death.
25% (1 out of 4) were beta-F1 positive, and 67% (4 out of 6) were T-cell receptor gamma (TCRγ) positive. T-cell intracellular antigen (TIA-1) and granzyme B exhibited positive results in all cases (3 out of 3), whereas the NK-cell marker CD56 was positive in only 11% of patients (1 out of 9). CD3 was observed in all of the patients (11 out of 11). The CD4 was 43% positive (3 out of 7). The CD8 was investigated in 8 patients, with 37.5% positive (3 out of 8). Hepatosplenomegaly was observed in 55% of patients (6 out of 11), and 70% (7 out of 10) of patients displayed B symptoms at the time of diagnosis. Patients who received CHOP (cyclophosphamide, doxorubicin, vincristine, prednisolone) or CVP (cyclophosphamide, vincristine, prednisolone) treatment had a median PFS of 2.2 months (95% CI: 1.9-2.5 months), and patients who received other treatments had a median PFS of 5.1 months (NA). The objective response rate (ORR) for ICE/dexa (ifosfamide, carboplatin, etoposide, dexamethasone) as the first- or second-line treatment was 100% (3 out of 3). But ORR of CHOP or CVP as the first-line treatment was 33.3% (3 out of 9). The median OS for the group that received HSCT (3 out of 11) after achieving a response was 34.6 months (95% CI: 0-74.6 months), and the median OS for the group that did not receive HSCT (8 out of 11) was 5.0 months (95% CI: 2.1-7.9 months) (p = 0.04).
In conclusion, in the context of PTCL-EBV, despite a limited sample size, the ICE/Dexa regimen shows potential benefits in terms of ORR and PFS. Furthermore, the application of HSCT following the attainment of a complete response may prove advantageous.
Choi DH
,Yoon SE
,Cho J
,Kim SJ
,Kim WS
... -
《-》
Comparison of Two Modern Survival Prediction Tools, SORG-MLA and METSSS, in Patients With Symptomatic Long-bone Metastases Who Underwent Local Treatment With Surgery Followed by Radiotherapy and With Radiotherapy Alone.
Survival estimation for patients with symptomatic skeletal metastases ideally should be made before a type of local treatment has already been determined. Currently available survival prediction tools, however, were generated using data from patients treated either operatively or with local radiation alone, raising concerns about whether they would generalize well to all patients presenting for assessment. The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA), trained with institution-based data of surgically treated patients, and the Metastases location, Elderly, Tumor primary, Sex, Sickness/comorbidity, and Site of radiotherapy model (METSSS), trained with registry-based data of patients treated with radiotherapy alone, are two of the most recently developed survival prediction models, but they have not been tested on patients whose local treatment strategy is not yet decided.
(1) Which of these two survival prediction models performed better in a mixed cohort made up both of patients who received local treatment with surgery followed by radiotherapy and who had radiation alone for symptomatic bone metastases? (2) Which model performed better among patients whose local treatment consisted of only palliative radiotherapy? (3) Are laboratory values used by SORG-MLA, which are not included in METSSS, independently associated with survival after controlling for predictions made by METSSS?
Between 2010 and 2018, we provided local treatment for 2113 adult patients with skeletal metastases in the extremities at an urban tertiary referral academic medical center using one of two strategies: (1) surgery followed by postoperative radiotherapy or (2) palliative radiotherapy alone. Every patient's survivorship status was ascertained either by their medical records or the national death registry from the Taiwanese National Health Insurance Administration. After applying a priori designated exclusion criteria, 91% (1920) were analyzed here. Among them, 48% (920) of the patients were female, and the median (IQR) age was 62 years (53 to 70 years). Lung was the most common primary tumor site (41% [782]), and 59% (1128) of patients had other skeletal metastases in addition to the treated lesion(s). In general, the indications for surgery were the presence of a complete pathologic fracture or an impending pathologic fracture, defined as having a Mirels score of ≥ 9, in patients with an American Society of Anesthesiologists (ASA) classification of less than or equal to IV and who were considered fit for surgery. The indications for radiotherapy were relief of pain, local tumor control, prevention of skeletal-related events, and any combination of the above. In all, 84% (1610) of the patients received palliative radiotherapy alone as local treatment for the target lesion(s), and 16% (310) underwent surgery followed by postoperative radiotherapy. Neither METSSS nor SORG-MLA was used at the point of care to aid clinical decision-making during the treatment period. Survival was retrospectively estimated by these two models to test their potential for providing survival probabilities. We first compared SORG to METSSS in the entire population. Then, we repeated the comparison in patients who received local treatment with palliative radiation alone. We assessed model performance by area under the receiver operating characteristic curve (AUROC), calibration analysis, Brier score, and decision curve analysis (DCA). The AUROC measures discrimination, which is the ability to distinguish patients with the event of interest (such as death at a particular time point) from those without. AUROC typically ranges from 0.5 to 1.0, with 0.5 indicating random guessing and 1.0 a perfect prediction, and in general, an AUROC of ≥ 0.7 indicates adequate discrimination for clinical use. Calibration refers to the agreement between the predicted outcomes (in this case, survival probabilities) and the actual outcomes, with a perfect calibration curve having an intercept of 0 and a slope of 1. A positive intercept indicates that the actual survival is generally underestimated by the prediction model, and a negative intercept suggests the opposite (overestimation). When comparing models, an intercept closer to 0 typically indicates better calibration. Calibration can also be summarized as log(O:E), the logarithm scale of the ratio of observed (O) to expected (E) survivors. A log(O:E) > 0 signals an underestimation (the observed survival is greater than the predicted survival); and a log(O:E) < 0 indicates the opposite (the observed survival is lower than the predicted survival). A model with a log(O:E) closer to 0 is generally considered better calibrated. The Brier score is the mean squared difference between the model predictions and the observed outcomes, and it ranges from 0 (best prediction) to 1 (worst prediction). The Brier score captures both discrimination and calibration, and it is considered a measure of overall model performance. In Brier score analysis, the "null model" assigns a predicted probability equal to the prevalence of the outcome and represents a model that adds no new information. A prediction model should achieve a Brier score at least lower than the null-model Brier score to be considered as useful. The DCA was developed as a method to determine whether using a model to inform treatment decisions would do more good than harm. It plots the net benefit of making decisions based on the model's predictions across all possible risk thresholds (or cost-to-benefit ratios) in relation to the two default strategies of treating all or no patients. The care provider can decide on an acceptable risk threshold for the proposed treatment in an individual and assess the corresponding net benefit to determine whether consulting with the model is superior to adopting the default strategies. Finally, we examined whether laboratory data, which were not included in the METSSS model, would have been independently associated with survival after controlling for the METSSS model's predictions by using the multivariable logistic and Cox proportional hazards regression analyses.
Between the two models, only SORG-MLA achieved adequate discrimination (an AUROC of > 0.7) in the entire cohort (of patients treated operatively or with radiation alone) and in the subgroup of patients treated with palliative radiotherapy alone. SORG-MLA outperformed METSSS by a wide margin on discrimination, calibration, and Brier score analyses in not only the entire cohort but also the subgroup of patients whose local treatment consisted of radiotherapy alone. In both the entire cohort and the subgroup, DCA demonstrated that SORG-MLA provided more net benefit compared with the two default strategies (of treating all or no patients) and compared with METSSS when risk thresholds ranged from 0.2 to 0.9 at both 90 days and 1 year, indicating that using SORG-MLA as a decision-making aid was beneficial when a patient's individualized risk threshold for opting for treatment was 0.2 to 0.9. Higher albumin, lower alkaline phosphatase, lower calcium, higher hemoglobin, lower international normalized ratio, higher lymphocytes, lower neutrophils, lower neutrophil-to-lymphocyte ratio, lower platelet-to-lymphocyte ratio, higher sodium, and lower white blood cells were independently associated with better 1-year and overall survival after adjusting for the predictions made by METSSS.
Based on these discoveries, clinicians might choose to consult SORG-MLA instead of METSSS for survival estimation in patients with long-bone metastases presenting for evaluation of local treatment. Basing a treatment decision on the predictions of SORG-MLA could be beneficial when a patient's individualized risk threshold for opting to undergo a particular treatment strategy ranged from 0.2 to 0.9. Future studies might investigate relevant laboratory items when constructing or refining a survival estimation model because these data demonstrated prognostic value independent of the predictions of the METSSS model, and future studies might also seek to keep these models up to date using data from diverse, contemporary patients undergoing both modern operative and nonoperative treatments.
Level III, diagnostic study.
Lee CC
,Chen CW
,Yen HK
,Lin YP
,Lai CY
,Wang JL
,Groot OQ
,Janssen SJ
,Schwab JH
,Hsu FM
,Lin WH
... -
《-》
Comparison of efficacy and safety of PD-1/PD-L1 combination therapy in first-line treatment of advanced NSCLC: an updated systematic review and network meta-analysis.
The use of immune checkpoint inhibitors has led to an increase in randomized controlled trials exploring various first-line combination treatment regimens. With the introduction of new PD-1/PD-L1 inhibitors, there are now more clinical options available. For the first time, the AK105 monoclonal antibody Penpulimab, developed in China, was included. The AK105-302 Phase III trial studied the efficacy and safety of Penpulimab combined with chemotherapy in patients with advanced or metastatic squamous NSCLC. To determine the optimal treatment options, we conducted an updated network meta-analysis to compare the effectiveness and safety of these regimens.
The system retrieves data from Chinese and English electronic databases, Clinical Trials, and the gov Clinical Trial Registration website up to September 6, 2023. The study indirectly compared the efficacy and safety of PD-1/PD-L1 combination regimens, including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), all-grade adverse events, and above-grade III adverse events. Subgroup analyses were conducted based on programmed death ligand 1 (PD-L1) level, histological type, ECOG score, sex, and smoking history.
Nineteen RCTS were included, with a total of ten thousand eight hundred patients. Penpulimab plus chemotherapy (Pen + CT) provided the best OS (HR = 0.55, 95% CI 0.38-0.81) for PD-L1 patients with non-selective advanced NSCLC. Except Nivolumab plus Ipilimumab (Niv + Ipi), other PD-1/PD-L1 combination therapies significantly extended PFS compared with CT, and Nivolumab plus Bevacizumab combined with chemotherapy (Niv + Bev + CT) (HR = 0.43, 95% CI 0.26-0.74) provided the best PFS benefit and was comparable to Pen + CT (HR = 1.0) for PFS prolongation. For ORR, except Niv + Ipi, all the other regimens significantly improved ORR compared with CT. In terms of safety, except Tor + CT, the incidence of any-grade AEs or grade ≥ 3 adverse events may be higher than those of chemotherapy. The subgroup analysis revealed that for patients with PD-L1 levels below 1%, treatment with Tor + CT resulted in the best progression-free survival (HR = 0.47, 95% CI 0.25-0.86). For patients with PD-L1 levels of 1% or higher, Sintilimab plus chemotherapy (Sin + CT) (HR = 0.56, 95% CI 0.31-0.99) and Camrelizumab plus chemotherapy (Cam + CT) (HR = 0.43, 95% CI 0.28-0.64) were associated with the best overall survival and progression-free survival, respectively. For patients with SqNSCLC, combined immunotherapy may provide greater survival benefits. For patients with Non-sqNSCLC, Niv + Bev + CT and Tor + CT were associated with optimal PFS and OS, respectively. Cam + CT provided the best PFS in male patients with a history of smoking and an ECOG score of 0. In both female and non-smoking patient subgroups, Pem + CT was associated with the best PFS and OS benefits.
For patients with advanced non-selective PD-L1 NSCLC, two effective regimens are Pen + CT and Niv + Bev + CT, which rank first in OS and PFS among all patients. Cam + CT and Tor + CT have advantages for OS in patients with SqNSCLC and Non-sqNSCLC, respectively. Niv + Ipi + CT provided the best OS benefit for patients with an ECOG score of 0, while Pem + CT may be the most effective treatment for patients with an ECOG score of 1. Pem + CT has a better effect on female patients and non-smokers. Sin + CT was found to be the most effective treatment for male patients and the smoking subgroup, while Cam + CT was found to be the most effective for PFS. In addition, Tor + CT was associated with the best PFS for patients with negative PD-L1 expression. Pem + CT was found to significantly improve both PFS and OS compared to CT alone. For patients with positive PD-L1 expression, Sin + CT and Cam + CT were found to be optimal for OS and PFS, respectively. It is important to note that, with the exception of Tor + CT, the toxicity of the other combinations was higher than that of CT alone.
Yang Y
,Chen W
,Dong L
,Duan L
,Gao P
... -
《-》