Predictor Of Overall Survival Research Articles

Medium-cumulative dose of cytarabine in consolidation therapy shows the greatest benefit in AML patients

BackgroundHigh-dose cytarabine (HDAC) is commonly used for consolidation therapy in young acute myeloid leukemia (AML) patients, but the dosage of cytarabine is still controversial in the clinic due to its obvious post-chemotherapy adverse effects. The aim of this study was to contrast the efficacy in different dose groups of cytarabine after consolidation therapy in Chinese AML patients.MethodsAML patients treated with cytarabine consolidation at Qilu Hospital, Shandong University from January 2010 to September 2022 were retrospectively analyzed, from which 346 AML patients with relatively complete follow-up data were selected for this study. We compared the patients’ overall survival (OS) rate, relapse-free survival (RFS) rate, and hematologic adverse events in terms of their general characteristics, cytarabine consolidation therapy dose, consolidation course, 2022 European Leukemia Net (ELN) risk stratification, and transplantation.ResultsIn AML patients under 60 years of age, the 5-year RFS rate with high-dose cytarabine consolidation therapy was superior to that of small-dose cytarabine (P = 0.024), while the 5-year RFS rate was comparable in the high-dose and intermediate-dose groups, and there was no obvious difference among the three groups in the 5-year OS rate (P > 0.05). OS and RFS of those given more than 3 courses of cytarabine consolidation therapy were better than those in the 1–2 courses group (P = 0.060, P = 0.040). OS and RFS were better in patients with cumulative dose of cytarabine ≥ 36g than in patients with cumulative dose < 36g (P < 0.05), but cumulative dose ≥ 54g was comparable in OS and RFS with ≥ 36–< 54g group (P > 0.05). There was no significant difference in hematologic adverse effects among the three treatment groups.In the latest ELN risk stratification favorable-risk group, the cumulative dose of cytarabine ≥ 36g had a better 5-year RFS rate than the < 36g group (P = 0.038), and in the intermediate-risk group the 5-year OS rate and RFS rate were better in the ≥ 36g group than the < 36g group (P = 0.012, 0.025). In addition, the prognosis of transplanted patients was better than that of non-transplanted patients, whereas in non-transplanted patients, consolidation therapy with ≥ 36g cytarabine can effectively improve outcomes. Multivariate analysis indicated that age, fibrinogen (FIB) and the cumulative dose of cytarabine of ≥ 36–< 54g were predictors of OS, while age, white blood cell (WBC) and HDAC were predictors of RFS.ConclusionThe results of the study showed that consolidation therapy with cytarabine up to a cumulative dose of ≥ 36–< 54g in AML patients who did not undergo transplantation significantly improved patient prognosis. In the latest ELN risk stratification, cumulative doses of cytarabine ≥ 36g had a better prognosis in favorable and intermediate-risk patients.

Tumor infiltrating B lymphocytes (TIBs) associate with poor clinical outcomes, unfavorable therapeutic benefit and immunosuppressive context in metastatic clear cell renal cell carcinoma (mccRCC) patients treated with anti-PD-1 antibody plus Axitinib.

Immune checkpoint inhibitors (ICIs) plus tyrosine kinase inhibitors (TKIs) has become first-line therapy for metastatic renal cell carcinoma patients. This study aims to investigate the effect of tumor infiltrating B lymphocytes (TIBs) on the combination therapy. The retrospective analysis was conducted on the clinical records of 115 metastatic clear cell renal cell carcinoma (mccRCC) patients treated with anti-PD-1 antibody plus Axitinib between March 2020 and June 2023. Observation target: objective response rate (ORR), and overall survival (OS), progression-free survival (PFS) and immune profile. Patients with high TIBs portended lower ORR of the combination therapy (p = 0.033). TIBs was an independent predictor for poorer OS (p = 0.013) and PFS (p = 0.021) in mccRCC patients with combination treatment. TIBs infiltration was associated with more CD4+T (p < 0.001), CD8+T (p < 0.001), M2 macrophages (p = 0.020) and regulatory T cells (Tregs) (p = 0.004). In TIBs high patients, the percentages of PD-1, CTLA-4 and TIM-3 positive rate were significantly increased in CD4+T (p = 0.038, 0.029 and 0.002 respectively) and CD8+T cells (p = 0.006, 0.026 and < 0.001 respectively). Our study revealed TIBs infiltration predicted adverse outcomes in mccRCC patients treated with anti-PD-1 antibody plus Axitinib. As a corollary, TIBs positively associated with M2 macrophages and Tregs, leading to subsequent multiple immune checkpoints related exhaustion of T cells. Thus, only PD-1 blockade are inadequate to reverse T cells exhaustion effectively in high TIBs mccRCC patients.

A multi-parametric prognostic model based on clinicopathologic features: vessels encapsulating tumor clusters and hepatic plates predict overall survival in hepatocellular carcinoma patients

BackgroundVessels encapsulating tumor clusters (VETC) is a newly described vascular pattern that is distinct from microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC). Despite its importance, the current pathological diagnosis report does not include information on VETC and hepatic plates (HP). We aimed to evaluate the prognostic value of integrating VETC and HP (VETC-HP model) in the assessment of HCC.MethodsA total of 1255 HCC patients who underwent radical surgery were classified into training (879 patients) and validation (376 patients) cohorts. Additionally, 37 patients treated with lenvatinib were studied, included 31 patients in high-risk group and 6 patients in low-risk group. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to establish a prognostic model for the training set. Harrell’s concordance index (C-index), time-dependent receiver operating characteristics curve (tdROC), and decision curve analysis were utilized to evaluate our model's performance by comparing it to traditional tumor node metastasis (TNM) staging for individualized prognosis.ResultsA prognostic model, VETC-HP model, based on risk scores for overall survival (OS) was established. The VETC-HP model demonstrated robust performance, with area under the curve (AUC) values of 0.832 and 0.780 for predicting 3- and 5-year OS in the training cohort, and 0.805 and 0.750 in the validation cohort, respectively. The model showed superior prediction accuracy and discrimination power compared to TNM staging, with C-index values of 0.753 and 0.672 for OS and disease-free survival (DFS) in the training cohort, and 0.728 and 0.615 in the validation cohort, respectively, compared to 0.626 and 0.573 for TNM staging in the training cohort, and 0.629 and 0.511 in the validation cohort. Thus, VETC-HP model had higher C-index than TNM stage system(p < 0.01).Furthermore, in the high-risk group, lenvatinib alone appeared to offer less clinical benefit but better disease-free survival time.ConclusionsThe VETC-HP model enhances DFS and OS prediction in HCC compared to traditional TNM staging systems. This model enables personalized temporal survival estimation, potentially improving clinical decision-making in surveillance management and treatment strategies.

Albumin-bilirubin grade as a predictor of survival in hepatocellular carcinoma patients with thrombocytopenia.

The models for assessing liver function, mainly the Child-Pugh (CP), albuminbilirubin (ALBI), and platelet-ALBI (PALBI) classifications, have been validated for use in estimating the prognosis of hepatocellular carcinoma (HCC) patients. However, thrombocytopenia is a common finding and may influence the prognostic value of the three models in HCC. To investigate and compare the prognostic performance of the above three models in thrombocytopenic HCC patients. A total of 135 patients with thrombocytopenic HCC who underwent radical surgery were retrospectively analyzed. Preoperative scores on the CP, ALBI and PALBI classifications were estimated accordingly. Kaplan-Meier curves with log-rank tests and Cox regression models were used to explore the significant factors associated with overall survival (OS) and recurrence-free survival (RFS). The preoperative platelet counts were significantly different among the CP, ALBI and PALBI groups. After a median follow-up of 28 mo, 39.3% (53/135) of the patients experienced postoperative recurrence, and 36.3% (49/135) died. Univariate analysis suggested that α-fetoprotein levels, tumor size, vascular invasion, and ALBI grade were significant predictors of OS and RFS. According to the multivariate Cox regression model, ALBI was identified as an independent prognostic factor. However, CP and PALBI grades were not statistically significant prognostic indicators. The ALBI grade, rather than CP or PALBI grade, is a significant prognostic indicator for thrombocytopenic HCC patients.

Stellae-123 gene expression signature improved risk stratification in taiwanese acute myeloid leukemia patients

The European Leukemia Net recommendations provide valuable guidance in treatment decisions of patients with acute myeloid leukemia (AML). However, the genetic complexity and heterogeneity of AML are not fully covered, notwithstanding that gene expression analysis is crucial in the risk stratification of AML. The Stellae-123 score, an AI-based model that captures gene expression patterns, has demonstrated robust survival predictions in AML patients across four western-population cohorts. This study aims to evaluate the applicability of Stellae-123 in a Taiwanese cohort. The Stellae-123 model was applied to 304 de novo AML patients diagnosed and treated at the National Taiwan University Hospital. We find that the pretrained (BeatAML-based) model achieved c-indexes of 0.631 and 0.632 for the prediction of overall survival (OS) and relapse-free survival (RFS), respectively. Model retraining within our cohort further improve the cross-validated c-indexes to 0.667 and 0.667 for OS and RFS prediction, respectively. Multivariable analysis identify both pretrained and retrained models as independent prognostic biomarkers. We further show that incorporating age, Stellae-123, and ELN classification remarkably improves risk stratification, revealing c-indices of 0.73 and 0.728 for OS and RFS, respectively. In summary, the Stellae-123 gene expression signature is a valuable prognostic tool for AML patients and model retraining can improve the accuracy and applicability of the model in different populations.

Comparison of different 2D muscle indexes measured at the level of the 3rd lumbar vertebra in survival prediction in patients with renal cell carcinoma.

Low computed tomography (CT)-determined muscle mass, commonly determined with height-adjusted muscle indexes (MIs), predicts worse survival in several cancers and has been suggested as a prognostic assessment tool. Although several MIs measured at the level of the 3rd lumbar vertebra (L3) are commonly used, it remains unestablished how different L3-determined MIs perform in survival prognostication compared to each other. The objective of this study was to investigate the performance of different MIs for survival prognostication in renal cell carcinoma (RCC). We retrospectively enrolled 214 consecutive patients with RCC. We determined three L3-MIs (psoas muscle index (PMI), psoas muscle index and erector spinae index (PMI+ESI), and whole skeletal muscle index (SMI)) from preoperative CT scans. Categorization of those with low and normal muscle mass was based on the Youden Index sex-specific MI cut-offs. We determined sensitivity, specificity, and accuracy metrics for predicting 1-year, 5-year, and overall survival (OS) using Cox regression models. Low PMI, PMI+ESI, and SMI significantly predicted decreased 1-year, 5-year, and OS in uni- and multivariate models. PMI+ESI and SMI were more accurate than PMI in males, and PMI and PMI+ESI were more accurate than SMI in females in the prediction of 1-year survival. However, there were no differences in accuracies between MIs in 5-year and OS prediction. PMI+ESI performed well overall in short-term prognostication, but there were no differences between the MIs in long-term prognostication. We recommend the use of PMI+ESI for muscle evaluation, particularly when SMI cannot be evaluated.

Outcomes of partially covered self-expandable metal stents with different uncovered lengths in endoscopic ultrasound-guided hepaticogastrostomy: a Japanese retrospective study.

The optimal length of the uncovered portion of partially covered self-expandable metal stents (PCSEMSs) used in endoscopic ultrasound-guided hepaticogastrostomy (EUS-HGS) remains unclear. This study investigated the safety and efficacy of PCSEMSs with different uncovered lengths, with a focus on stent migration and time to recurrent biliary obstruction (RBO). Outcomes of patients undergoing EUS-HGS using PCSEMSs with 5-mm and 20-mm uncovered portions at our institution from January 2016 to December 2021 were compared. Sixty-two patients underwent EUS-HGS using PCSEMS (5/20-mm uncovered portions: 32/30). Stent migration occurred only in the 5-mm group. There were no differences in RBO rates (28.1% vs. 40.0%) or median time to RBO (6.8 vs. 7.1 months) between the two groups. Median overall survival (OS) was longer in the 20-mm group (3.1 vs. 4.9 months, p=0.037) due to the higher number of patients that resumed chemotherapy after EUS-HGS (56.7 vs. 28.1%, p=0.029). Good performance status, absence of hepatic metastases, and chemotherapy after EUS-HGS were independent predictors of longer OS. No migration was observed in patients treated with PCSEMS with 20-mm uncovered portions. Patients treated with PCSEMS with 20-mm uncovered portions performed at least as well as those treated with 5-mm uncovered portions in all material respects.

A retrospective study of clinical outcomes for patients with esophageal cancer who were treated with radiotherapy alone

Introduction: Patients with esophageal cancer who are in a poor general condition receive radiotherapy alone, but outcomes are often unsatisfactory. The aim of this study was to clarify recent outcomes of radiotherapy alone for esophageal cancer. Methods: Patients who underwent 50 Gy or more of radiotherapy without chemotherapy were retrospectively reviewed. Endpoints were overall survival (OS), disease-specific survival (DSS), local control (LC), and progression-free survival (PFS). Survival curves were drawn using the Kaplan-Meier method and predictors were analyzed using the Cox proportional hazards model. Results: Sixty-nine patients were included. The median follow-up period was 17.9 months. The 5-year OS, DSS, LC, and PFS rates were 33.2%, 49.8%, 46.2%, and 16.8%, respectively. In the multivariate Cox proportional hazard model, clinical stage was a significant predictor for OS (hazard ratio [HR]: 4.42, 95% confidence interval [CI]: 1.80 – 11.17, p = 0.001), DSS (HR: 2.08, 95% CI: 1.43 – 3.12, p = 0.0001), LC (HR: 1.86, 95% CI: 1.28 – 2.74, p = 0.001), and PFS (HR: 1.65, 95% CI: 1.25 – 2.18, p = 0.0004). Radiation dose was a significant predictor for LC (HR: 0.87, 95% CI: 0.78 – 0.97, p = 0.018) and tumor location was a significant predictor for PFS (HR: 1.55, 95% CI: 1.10 – 2.19, p = 0.018). In subgroup analysis, the 5-year OS, DSS, LC, and PFS rates for stage I were 60.0%, 80.0%, 71.9%, and 46.1%, respectively. Conclusions: Stage, radiation dose and tumor location are significant predictors for outcomes. Patients with stage I esophageal cancer can be cured by radiotherapy alone.

The relationship between splenic dose and radiation-induced lymphopenia.

Lymphocytes, which are highly sensitive to radiation, play a crucial role in the body's defense against tumors. Radiation-induced lymphopenia has been associated with poorer outcomes in different cancer types. Despite being the largest secondary lymphoid organ, the spleen has not been officially designated as an organ at risk. This study hypothesizes a connection between spleen irradiation and lymphopenia and seeks to establish evidence-based dosage limits for the spleen. We retrospectively analyzed data from 96 patients with locally advanced gastric cancer who received postoperative chemoradiotherapy (CRT) between May 2010 and May 2017. Complete blood counts were collected before, during and after CRT. We established a model for predicting the minimum absolute lymphocyte count (Min ALC) and to investigate potential associations between spleen dosimetric variables and Min ALC. The median follow-up was 60months. The 5-year overall survival (OS) and disease-free survival (DFS) were 65.2% and 56.8%, respectively. The median values of pre-treatment ALC, Min ALC and post-treatment ALC were 1.40 × 109, 0.23 × 109 and 0.28 × 109/L, respectively. Regression analysis confirmed that the primary tumor location, number of fractions and spleen V5 were significant predictors of Min ALC during radiation therapy. Changes in ALC (ΔALC) were identified as an independent predictor of both OS and DFS. Spleen V5 is an independent predictor for Min ALC, and the maximum dose of the spleen is associated with an increased risk of severe lymphopenia. Therefore, these doses should be restricted in clinical practice. Additionally, ΔALC can serve as a prognostic indicator for adjuvant radiotherapy in gastric cancer.

Patient Selection for Active Surveillance for Small Renal Masses: A Systematic Review of the Literature

BACKGROUND: The role of active surveillance (AS) has been recognized as a management strategy for localized small renal masses (SRMs). The EAU guidelines suggest AS can be offered to frail and/or comorbid patients diagnosed with SRM due to the low cancer-specific-mortality (CSM) and higher competing-cause mortality. As specific cut-offs defining the characteristics of frail and comorbid patients who may benefit from AS remain less clear, our objective is to conduct a systematic review aiming to identify potential characteristics that could assist physicians in shared decision-making. METHODS: The systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Two authors independently screened the literature according to the PICOs criteria previously outlined in our registered review protocol (via Pubmed, Embase, and the Cochrane Central Register of Controlled Trials), extracted data, and assessed the risk of bias, using Newcastle-Ottawa Scale. Studies that analyzed differences in patient’s tumor-related and molecular characteristics associated with any differences in growth rate (GR), overall survival (OS), cancer-specific survival (CSS), and metastasis-free survival (MFS), were considered eligible. RESULTS: Nineteen studies comprising a total of 5105 patients were analyzed. Patient-specific factors such as age and cardiovascular index, which demonstrated a predominant impact on OS, exhibited a high degree of consistency across the analyzed studies. Less concordance was found when exploring GR, with the main predictors being ethnicity, age, sex, comorbidity, symptoms, and eGFR. The analysis of tumor-related characteristics, such as tumor size, nephrometry score, and mass histology, among others, yielded contradictory outcomes concerning their impact on GR and CSS. CONCLUSION: Age, cardiovascular index, and chronic kidney disease have shown to be reliable predictors of OS. Nonetheless, significant debates persist regarding tumor characteristics or molecular markers that may influence survival and GR. Further research is awaited to shed light on the potential to identify prognostic factors. This would aid in pinpointing the subgroup of patients who could experience additional benefits from AS, potentially leading to a reduced risk of progression. It is imperative to standardize approaches to AS and reporting of results, as this will be pivotal for future quantitative analyses.

Perineural Invasion is an Important Prognostic Factor in Patients With Radically Resected (R0) and Node-negative (pN0) Pancreatic Cancer.

To investigate the association between perineural invasion (PNI) and overall survival (OS) in a nationwide cohort of patients with resected pancreatic ductal adenocarcinoma (PDAC), stratified for margin negative (R0) or positive (R1) resection and absence or presence of lymph node metastasis (pN0 or pN1-N2, respectively). Patients with R0 and pN0 resected PDAC have a relatively favorable prognosis. As PNI is associated with worse OS, this might be a useful factor to provide further prognostic information for patients counselling. A nationwide observational cohort study was performed including all patients who underwent PDAC resection in the Netherlands (2014-2019) with complete information on relevant pathological features (PNI, R status, and N status). OS was assessed using Kaplan-Meier curves, and Cox-proportional hazard analyses were performed to calculate hazard ratio's (HR) with corresponding 95% confidence intervals (CI). In total, 1630 patients were included with a median follow-up of 43 (interquartile range 33-58) months. PNI was independently associated with worse OS in both R0 patients (HR 1.49 [95%CI 1.18-1.88]; P<0.001) and R1 patients (HR 1.39 [95% CI 1.06-1.83]; P=0.02), as well as in pN0 patients (HR 1.75 [95%CI 1.27-2.41]; P<0.001) and pN1-N2 patients (HR 1.35 [95% CI 1.10-1.67]; P<0.01). In 315 patients with R0N0, multivariable analysis showed that PNI was the strongest predictor of OS (HR 2.24 [95% CI 1.52-3.30]; P<0.001). PNI is strongly associated with worse survival in patients with resected PDAC, in particular in patients with relatively favorable pathological features. These findings may aid patient stratification and counselling and help guide treatment strategies.

Clinical outcomes of transarterial chemoembolization in Child-Turcotte Pugh class A patients with a single small (≤3cm) hepatocellular carcinoma.

Transarterial chemoembolization (TACE) is one of the standard modalities used to treat unresectable hepatocellular carcinoma (HCC), but the effectiveness of TACE for treating patients with a solitary small (≤3cm) HCC and well-preserved liver function has not been definitively established. This study aimed to determine the therapeutic impact of TACE in patients with these characteristics. This multicenter (four university hospitals) retrospective cohort study analyzed the medical records of 250 patients with a solitary small (≤3cm) HCC and Child-Turcotte-Pugh (CTP) class A liver function diagnosed over 10years. Posttreatment outcomes, including overall survival (OS), recurrence-free survival (RFS), and adverse events, were assessed following TACE therapy. One hundred and thirty-eight of the 250 patients (55.2%) treated with TACE achieved complete remission (CR). Overall median OS was 77.7months, and median OS was significantly longer in the CR group than in the non-CR group (89.1 vs. 58.8months, P=0.001). Median RFS was 19.1months in the CR group. Subgroup analysis identified hypertension, an elevated serum albumin level, and achieving CR as significant positive predictors of OS, whereas diabetes, hepatitis c virus infection, and tumor size (>2cm) were poor prognostic factors of OS. The study demonstrates the effectiveness of TACE as a viable alternative for treating solitary small (≤3cm) HCC in CTP class A patients.

Tumor-infiltrating lymphocytes as a predictor of axillary and primary tumor pathological response after neoadjuvant chemotherapy in patients with breast cancer: a retrospective cohort study.

Tumor-infiltrating lymphocytes (TILs) can predict complete pathological response (pCR) of tumor in the breast but not so well-defined in the axilla after neoadjuvant chemotherapy. Since axillary surgery is being increasingly de-escalated after NACT, we aimed to investigate the relationship between TILs and pCR in the axilla and breast, as well as survival amongst NACT patients. Clinicopathological data on patients who underwent NACT between 2013 and 2020 were retrospectively examined. Specifically, pre-TILs (before NACT), post-TILs (after NACT) and ΔTIL (changes in TILs) were assessed. Primary endpoint was pCR and secondary endpoints were breast cancer-free interval (BCFI) and overall survival (OS). Two hundred and twenty patients with nodal metastases were included. Overall axillary and breast pCR rates were 42.7% (94/220) and 39.1% (86/220), respectively, whereas the combined pCR rate was 32.7% (72/220). High pre-TILs (OR 2.03, 95% CI 1.02-4.05; p = 0.04) predicted axillary pCR whereas, high post-TILs (OR 0.33, 95% CI 0.14-0.76; p = 0.009) and increased ΔTILs (OR 0.25, 95% CI 0.08-0.79; p = 0.02) predicted non-axillary pCR. TILs were not a significant predictor for BCFI and OS. This study supports the potential use of pre-TILs to select initially node-positive patients for axillary surgical de-escalation after NACT.

Clinico-biological factors predicting the benefit of the LV5FU2 maintenance strategy as a first-line therapy in patients with metastatic pancreatic cancer

Abstract Introduction Predictive markers of LV5FU2 maintenance benefit after first-line induction with FOLFIRINOX in patients with metastatic pancreatic cancer are necessary to select patients who will not be harmed by this strategy. Patients and Methods We focused on patients who received 12 cycles of FOLFIRINOX (arm A, N = 88) or 8 cycles of FOLFIRINOX followed by LV5FU2 maintenance in controlled patients (arm B, N = 91) from the PRODIGE-35 trial. Prognostic factors and predictors of efficiency were identified by using Cox regression. Median progression-free survival (PFS), overall survival (OS), and time to deterioration of quality of life (TTD-QoL) were evaluated. Results Poor independent prognostic factors were primary tumor in place, age &amp;lt;65 years and the presence of liver metastases for PFS, a baseline neutrophil/lymphocyte ratio (NLR) ≥5 and CA19.9 ≥500 UI/L for OS, independent of the treatment arm. Patients with one metastatic site had a longer PFS in arm A, whereas patients with ≥2 metastatic sites had a longer PFS in arm B. We also identified predictors of OS and TTD-QoL in arm B but these differences were not statistically significant. Conclusion Except for patients with one metastatic site who benefited more from 12 cycles of FOLFIRINOX, a maintenance strategy with LV5FU2 should be widely offered to mPC patients whose survival and QoL are preserved after 4 months of FOLFIRINOX. (ClinicalTrials.gov: NCT02352337).

Revisiting prognostic factors of gliomatosis cerebri in adult-type diffuse gliomas.

There is lack of comprehensive analysis evaluating the impact of clinical, molecular, imaging, and surgical data on survival of patients with gliomatosis cerebri (GC). This study aimed to investigate prognostic factors of GC in adult-type diffuse glioma patients. Retrospective chart and imaging review was performed in 99 GC patients from adult-type diffuse glioma (among 1,211 patients; 6 oligodendroglioma, 16 IDH-mutant astrocytoma, and 77 IDH-wildtype glioblastoma) from a single institution between 2005 and 2021. Predictors of overall survival (OS) of entire patients and IDH-wildtype glioblastoma patients were determined. The median OS was 16.7months (95% confidence interval [CI] 14.2-22.2) in entire patients and 14.3months (95% CI 12.2-61.9) in IDH-wildtype glioblastoma patients. In entire patients, KPS (hazard ratio [HR] = 0.98, P = 0.004), no 1p/19q codeletion (HR = 10.75, P = 0.019), MGMTp methylation (HR = 0.54, P = 0.028), and hemorrhage (HR = 3.45, P = 0.001) were independent prognostic factors on multivariable analysis. In IDH-wildtype glioblastoma patients, KPS (HR = 2.24, P = 0.075) was the only independent prognostic factor on multivariable analysis. In subgroup of IDH-wildtype glioblastoma with CE tumors, total resection of CE tumor did not remain as a significant prognostic factor (HR = 1.13, P = 0.685). The prognosis of GC patients is determined by its underlying molecular type and patient performance status. Compared with diffuse glioma without GC, aggressive surgery of CE tumor in GC patients does not improve survival.

Predictive potential of preoperative Naples prognostic score-based nomogram model for the prognosis in surgical resected thoracic esophageal squamous cell carcinoma patients: A retrospective cohort study.

The present study aimed to establish an effective prognostic nomogram model based on the Naples prognostic score (NPS) for resectable thoracic esophageal squamous cell carcinoma (ESCC). A total of 277 patients with ESCC, who underwent standard curative esophagectomy and designated as study cohort, were retrospectively analyzed. The patients were divided into different groups, including NPS 0, NPS 1, NPS 2, and NPS 3 or 4 groups, for further analysis, and the results were validated in an external cohort of 122 ESCC patients, who underwent surgery at another cancer center. In our multivariate analysis of the study cohort showed that the tumor-node-metastasis (TNM) stage, systemic inflammation score, and NPS were the independent prognostic factors for the overall survival (OS) and progression-free survival (PFS) durations. In addition, the differential grade was also an independent prognostic factor for the OS in the patients with ESCC after surgery (all P < .05). The area under the curve of receiver operator characteristics for the PFS and OS prediction with systemic inflammation score and NPS were 0.735 (95% confidence interval [CI] 0.676-0.795, P < .001) and 0.835 (95% CI 0.786-0.884, P < .001), and 0.734 (95% CI 0.675-0.793, P < .001) and 0.851 (95% CI 0.805-0.896, P < .001), respectively. The above independent predictors for OS or PFS were all selected in the nomogram model. The concordance indices (C-indices) of the nomogram models for predicting OS and PFS were 0.718 (95% CI 0.681-0.755) and 0.669 (95% CI 0.633-0.705), respectively, which were higher than that of the 7th edition of American Joint Committee on Cancer TNM staging system [C-index 0.598 (95% CI 0.558-0.638) for OS and 0.586 (95% CI 0.546-0.626) for PFS]. The calibration curves for predicting the 5-year OS or PFS showed a good agreement between the prediction by nomogram and actual observation. In the external validation cohort, the nomogram discrimination for OS was better than that of the 7th edition of TNM staging systems [C-index: 0.697 (95% CI 0.639-0.755) vs 0.644 (95% CI 0.589-0.699)]. The calibration curves showed good consistency in predicting the 5-year survival between the actual observation and nomogram predictions. The decision curve also showed a higher potential of the clinical application of predicting the 5-years OS of the proposed nomogram model as compared to that of the 7th edition of TNM staging systems. The preoperative NPS-based nomogram model had a certain potential role for predicting the prognosis of ESCC patients.

Abstract PO1-11-11: A Novel Body Composition Risk Score (B-Score) and Overall Survival among Patients with Early-Stage Breast Cancer

Abstract Background: Measurements (amount, distribution, and radiodensity) of muscle and adipose tissue were reported to be individually associated with overall survival in breast cancer survivors, but they were not typically combined to develop an overall risk score. Such a score can identify patients at high risk of death and prioritize patients in need of lifestyle interventions. Objectives: We developed a novel body composition risk score (B-Score) by combining multiple tissue measurements. Methods: We included 3105 patients with stage II or III breast cancer (diagnosed from 2000 to 2013) at Kaiser Permanente Northern California and Dana Farber Cancer Institute. From CT scans at diagnosis, we used the third lumber vertebrae as the landmark to assess areas (cm2) and radiodensity (HU) of muscle and adipose tissue. We divided the area by height2 (m2) to derive the index and measured the average HU of the tissue area as the radiodensity, which acts as a marker of tissue 'quality' to be indicative of lipid content, inflammation, and angiogenesis. Out of all tissue measurements, we considered skeletal muscle index (SMI), subcutaneous adipose tissue index (SATI) and SAT radiodensity as they were independent predictors for overall survival. Each measurement was dichotomized using optimal stratification, with low SMI (&amp;lt; 40.1cm2/m2), high SATI (≥75.7cm2/m2), and high SAT radiodensity (≥ -97.2HU) considered risk factors. We calculated B-Score as the sum of these factors and estimated its association with overall survival using Cox proportional hazards regression with adjustment for clinicopathologic factors. Results: Mean (standard deviation) age at diagnosis was 53.9 (11.8) years, 2161 (70.1%) were Non-Hispanic White, 1880 (60.5%) were stage II, and 919 (29.6%) died over a median follow-up of 10.7 years. Most patients (60.6%) had only one body composition risk factor (B-Score = 1). Compared to those with no body composition risk factors (B-Score = 0), the risk of death increased with more body composition risk factors: the adjusted hazard ratios were 1.10 (95% CI: 0.85, 1.42), 1.47 (95% CI: 1.12, 1.92), and 2.11 (95% CI: 1.26, 3.53) for B-Scores of 1, 2, and 3, respectively (Ptrend &amp;lt; 0.001). Conclusions: More unfavorable body composition characteristics were associated with increased risks of overall mortality in a dose-response manner. Considering body composition measurements together as a composite score (B-Score) may prove a useful tool to identify patients at high risk of death following breast cancer diagnosis. Table. Adjusted Associations of the Body Composition Risk Score (B-Score) with Overall Mortality Among Patients with Early-Stage Breast Cancer Abbreviations: HR, hazard ratio. a Areas (cm2) and radiodensity (HU) of skeletal muscle and subcutaneous adipose tissue (SAT) were extracted from the single axial CT slice at the third lumbar vertebra. The body composition risk score was defined as the sum of three risk factors: low skeletal muscle index (SMI; &amp;lt;40.1cm2/m2), high SAT index (SATI; ≥75.7cm2/m2), and high SAT radiodensity (≥ -97.2HU). b Adjusted for age (years), race and ethnicity (Asian, Black, Hispanic, Non-Hispanic White, and Others), stage (II, III), ER (ER+, ER-), PR (PR+, PR-), HER2 (HER2+, HER2-, unknown), smoking (current, former, never), Charlson comorbidity index (0, 1-2, ≥3), and BMI (&amp;lt;18.5, 28.5-24.9, 25-29.9, and ≥30 kg/m2). For the trend test, B-Score was considered as a continuous variable with adjustment for the above covariates. Citation Format: En Cheng, Bette Caan, Wendy Chen, Carla Prado, Elizabeth Cespedes Feliciano. A Novel Body Composition Risk Score (B-Score) and Overall Survival among Patients with Early-Stage Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-11-11.

Abstract PO2-01-14: Development of Artificial Intelligence-based Machine Learning Models for Predicting Survival In Hormone-Receptor-Positive/HER2-Negative Early Breast Cancer undergoing Neoadjuvant Chemotherapy

Abstract Background. In hormone-receptor positive (HoR)/HER2 negative early breast cancer (BC) multiple efforts have been made to predict disease recurrence and survival. Machine learning techniques have been used but few studies have looked into their applicability in predicting survival on the basis of clinico-pathological characteristics. The aim of this study was to evaluate a random survival forest model to predict the prognosis of this specific BC subtype. Methods. In this multicenter, retrospective study, patients who fulfilled the following inclusion criteria were included: (1) diagnosis of pathologically confirmed HoR-positive/HER2-negative invasive BC; (2) early or locally advanced, stage I-II-III (3) patients receiving neoadjuvant anthracycline and/or taxane-based chemotherapy, concurrently or sequentially; (4) patients undergoing surgery for primary BC. Survival endpoints were disease-free survival (DFS) and overall survival (OS). A random survival forest algorithm was used to develop the predictive model. Ten-fold cross-validation was performed. The C-index and the continuous rank probability score (CRPS) were used to evaluate the discrimination of the predictive model, and a ROC curve was used to evaluate model precision. A cut point analysis based on maximally selected rank statistics was conducted to evaluate the best cut-off in the out-of-bag (OOB) mortality that could maximize DFS and OS prediction. Variable importance was assessed using Breiman-Cutler permutation importance. Results. Overall, 572 patients with HoR-positive/HER2-negative early BC were included. At univariate analysis age, T stage, N stage, grading, ER, PR and Ki67 were found to be significantly associated with DFS and ER, PgR, HER2, pCR ypT and ypN retained statistical significance at multivariate analysis. ER, pCR, pathological T and N stage were found to be significantly associated with OS at univariate and multivariate analysis. The following variables were included in the final model: menopausal status, age, histology, grade, clinical T/N, ER/PgR, Ki67 and HER2, pathological complete response (pCR), ypT and ypN. For DFS, the cross-validated C-index was 0.68 (95% CI 0.63-0.73) and the OOB CRPS was 0.15, with a OOB performance error of 0.31. The AUC calculated at 60 months was 0.91 (95% CI 0.88-0.94). Out-of bag RSF-based risk scores for individual patients were calculated and an optimal cut-off of 22.58 was identified. The HR between high risk and low risk group was 3.08 (95% CI 2.16-4.39, p&amp;lt; 0.001). For OS, the cross-validated C-index was 0.66 (95% CI 0.60-0.71) and the OOB CRPS was 0.17, with a OOB performance error of 0.35. The AUC calculated at 60 months 0.91 (95% CI 0.88-0.95). An optimal cut-off of 21.54 was identified and the HR between low risk and high risk group was 2.50 (95% CI 1.73-3.61, p&amp;lt; 0.001). For DFS, the most important variables were cN (9.00), ypN (7.35), ER (7.21), ypT (5.38), PgR (4.11), pCR (4.01) and age (2.82) while for OS the most important variables were cN (7.88), ER (5.37), PgR (3.61), age (3.37), pCR (2.80), ypT (2.64) and ypN (2.60). Discussion. We analyzed the performance of RSF in the prediction of DFS and OS based on the contribution of clinico-pathological features commonly available at the baseline of the NCT and post-surgery. By selecting patients with HoR-positive HER2-negative disease, we were able to show which clinico-pathological features within a ML model have greater predictive importance. The model could be integrated with image-based tumor and radiology features to improve its predictive accuracy. This retrospective multicenter study suggests that the combination of easily accessible clinico-pathological features within a ML model may reliably predict DFS and OS in the context of HoR-positive/HER2-negative BCs. Citation Format: Luca Mastrantoni, Giovanna Garufi, Noemi Maliziola, Elena Di Monte, Giorgia Arcuri, Valentina Frescura, Angelachiara Rotondi, Giulia Giordano, Luisa Carbognin, Alessandra Fabi, Ida Paris, Gianluca Franceschini, Armando Orlandi, Antonella Palazzo, Giovanni Scambia, Giampaolo Tortora, Emilio Bria. Development of Artificial Intelligence-based Machine Learning Models for Predicting Survival In Hormone-Receptor-Positive/HER2-Negative Early Breast Cancer undergoing Neoadjuvant Chemotherapy [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-01-14.

Abstract PS16-07: Tumor infiltrating lymphocyte stratification refines AJCC TNM staging based outcomes of early-stage triple negative breast cancer treated with neoadjuvant anthracycline-free, docetaxel and carboplatin chemotherapy

Abstract Background: Stromal tumor-infiltrating lymphocytes (sTILs) quantification is associated with pathological response to neoadjuvant chemotherapy (NAC) and long term outcomes in setting of adjuvant anthracycline based chemotherapy. A previous study in TNBC patients treated with adjuvant anthracycline chemotherapy shows that at a cut point of 30%, sTILs can up and downstage traditional AJCC stage groups. Additive impact of sTILs on refining outcomes beyond pathological response and TNM stage for patients treated with anthracycline-free chemotherapy is not known. This study aimed to investigate impact of sTILs on outcomes in a large cohort of TNBC patients treated with Docetaxel plus carboplatin NAC. Methods: Patients with stage I (T size &amp;gt; 1cm) to III TNBC scheduled to receive 6 cycles of NAC docetaxel (75 mg/m2) plus carboplatin (AUC 6) (TCb) every 3 weeks from two studies (NCT01560663 and NCT02302742) were combined for this analysis. sTILs were evaluated on pre-treatment H&amp;E slide using standard criteria centrally by one of the investigators (RS). Pathological complete response (pCR) was defined as ypT0/is ypN0. Logistic regression analysis was used to examine the effect of multiple variables on Event free survival (EFS) and overall survival (OS). Results: For 474 patients included in this analysis, median age was 52 years, 8% were Black, 13% had germline BRCA1/2 mutation, 44% had clinical Lymph node (LN) positive disease and 13%, 62% and 25% respectively had TNM stage I, II and III disease. Median sTILs were 5% (range 1-95%) and 25% had &amp;gt;30% sTILs. pCR and RCB 0+1 rates were 50.2% and 60.4% respectively. On multivariable analysis, T stage (OR=0.51, p=0.030), nodal status (OR=0.56, p=0.028), Ki67 (OR=2.74, p&amp;lt; 0.001) and sTILs (OR=2.01, p=0.014) were associated with pCR. pCR rate in those with sTILs &amp;lt; 30 vs sTILs &amp;gt;30 was 45.9% and 63.9% respectively (p=0.0014). At median follow-up of 58 months, 5 years EFS was 81.05% in all patients, 93.94% in those with pCR and 68.67% in those without pCR, 5 year OS was 84.83% in all patients, 96.53% in those with pCR and 74.13% in those with residual disease. On multivariate analysis lower T stage, negative LN status and increasing sTILS were associated with better EFS (T stage: HR =1.98, p=0.018; LN status: HR=2.92, p&amp;lt; 0.001; sTILs: HR:0.46, p=0.04) and OS (T stage: HR=1.89, p=0.040; LN status: HR=3.13, p=0.001; sTILs: HR=0.30, p=0.008). At a cut-point of 30%, sTILs up and downstaged anatomic AJCC TNM stage groups (table 1). Conclusions and Relevance: In patients treated with anthracycline-free TCb chemotherapy, sTILs were independent predictors of EFS and OS beyond clinicopathological features. Notably, 30% sTILs cut-point stratified outcomes beyond anatomical TNM staging. These, findings can aid in patient stratification for chemotherapy backbone de-escalation in future trials and have the potential to inform patient selection for adjuvant treatment escalation and de-escalation trials. Tumor infiltrating lymphocyte stratification refines AJCC TNM staging based outcomes of early-stage triple negative breast cancer treated with neoadjuvant anthracycline-free, docetaxel and carboplatin chemotherapy. Table. Citation Format: Miguel Martín, Rachel Yoder, Roberto Salgado, María del Monte-Millán, Enrique Álvarez, Isabel Echavarria, Joshua Staley, Coralia Bueno-Muiño, Yolanda Jerez Gilarranz, Andrew Godwin, María Cebollero, Oscar Bueno, José Ángel García-Sáenz, Fernando Moreno Antón, Uriel Bohn, Henry L Gómez, Tatiana Massarrah, Sara López-Tarruella, Priyanka Sharma. Tumor infiltrating lymphocyte stratification refines AJCC TNM staging based outcomes of early-stage triple negative breast cancer treated with neoadjuvant anthracycline-free, docetaxel and carboplatin chemotherapy [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS16-07.

Abstract PO3-04-02: Exposure-efficacy and safety analysis of trastuzumab deruxtecan (T-DXd) in patients with advanced/metastatic HER2+ breast cancer (BC): Analyses from Phase 3 Studies DESTINY-Breast02 (DB-02) and DESTINY-Breast03 (DB-03)

Abstract Exposure-efficacy and exposure-safety analyses of trastuzumab deruxtecan (T-DXd) in patients with advanced/metastatic HER2+ breast cancer (BC): Analyses from Phase 3 Studies DESTINY-Breast02 (DB-02) and DESTINY-Breast03 (DB-03) Authors: Claire Li1, Russ Wada2, Hanbin Li2, Helen Kastrissios2, Malaz Abutarif1, Tushar Garimella1 , Amit Khatri1 1Quantitative Clinical Pharmacology, Daiichi Sankyo, Basking Ridge, NJ, USA 2QuanTx Consulting Mountain View, CA, USA Background: T-DXd, an antibody-drug conjugate composed of a humanized anti-HER2 monoclonal antibody and a topoisomerase I inhibitor payload, is approved for adult patients with unresectable or metastatic HER2+ BC with a prior anti-HER2–based therapy either in the metastatic setting, or in the neoadjuvant or adjuvant setting and have developed disease recurrence during or within six months of completing therapy. The analysis evaluated the relationship between T-DXd pharmacokinetic (PK) exposure and efficacy/safety endpoints following 5.4 mg/kg Q3W in HER2+ BC subjects. Methods: Exposure-efficacy (E-E) analyses were evaluated from BC subjects in two Phase 3 studies, DB-02 (N=404 for T-DXd; 3L+ BC) and DB-03 (N=257 for T-DXd; 2L+ BC). In studies DB-02 and DB-03, 202 and 263 subjects in control arm were treated with treatment of investigator’s/physician’s choice (TPC) and T-DM1, respectively. Exposure-safety (E-S) analyses were conducted using 12 clinical studies ranging from Phase 1 to 3 (N=2216, 68.7% BC), including DB-02 and DB-03. Population PK-predicted exposure metrics included T-DXd and DXd peak concentration, trough concentration, and AUC in Cycle 1 and at steady state. Key efficacy endpoints were progression-free survival (PFS) based on blinded independent central review (BICR) and overall survival (OS). Safety endpoints included any Grade and Grade ≥ 3 adjudicated drug-related interstitial lung disease (ILD). Exploratory analyses were conducted for other safety endpoints (i.e., Grade ≥ 3 TEAEs). Results: T-DXd exposure was a significant predictor (p&amp;lt; 0.01) of OS in DB-02. In study DB-03, T-DXd exposure was a marginally significant covariate (p&amp;lt; 0.05) for OS in univariate Cox regression but was dropped in the multivariate analysis. The relationship between T-DXd exposure and PFS in both studies were not statistically significant (p &amp;gt;0.01), suggesting a flat E-E relationship due to the narrow exposure range resulting from the single-dose level (5.4 mg/kg Q3W) in both studies. Clinically meaningful efficacy in the T-DXd arm relative to the control arm was observed in both studies (PFS: 17.8 months [T-DXd arm] vs. 6.9 months [TPC arm] in study DB-02 and 28.8 months [T-DXd arm] vs. 6.8 months [T-DM- arm] in study DB-03). Therefore, the E-E analyses supports clinically meaningful efficacy across the entire exposure range with the T-DXd 5.4 mg/kg dose in BC subjects. For E-S, a statistically significant relationship (p&amp;lt; 0.001) was observed between increasing T-DXd exposures across all the dose levels (0.8 to 8 mg/kg) and increasing hazard of any Grade and Grade ≥ 3 ILD. The predicted Day 360 incidence rate of any Grade and Grade ≥3 ILD at 5.4 mg/kg Q3W T-DXd in BC subjects was 14.8% and 3%, respectively. These findings are consistent with previous safety analyses. Observed rates of the exploratory safety endpoints were also generally consistent with previous model-predicted rates of adverse events in BC1. Conclusions: The E-E analyses support clinically meaningful efficacy (PFS and OS) relative to control with a flat exposure-response relationship in HER2+ BC subjects at the T-DXd 5.4 mg/kg dose. The E-S analyses showed any Grade and Grade ≥ 3 ILD event rates for this dose are comparable to prior studies1. Those event rates appeared to increase with increasing T-DXd exposures. Overall, these model-based analyses continue to support T-DXd 5.4 mg/kg Q3W dosing in previously treated HER2+ BC. Reference: Yin O, Iwata H, Lin, C, et al. Exposure-Response Relationships in Patients with HER2-Positive Metastatic Breast Cancer and Other Solid Tumors Treated with Trastuzumab Deruxtecan. J Clin Pharm Ther. 2021; 110(4):986-96 Citation Format: Claire Li, Russ Wada, Hanbin Li, Helen kastrissios, malaz Abutarif, Tushar Garimella, Amit Khatri. Exposure-efficacy and safety analysis of trastuzumab deruxtecan (T-DXd) in patients with advanced/metastatic HER2+ breast cancer (BC): Analyses from Phase 3 Studies DESTINY-Breast02 (DB-02) and DESTINY-Breast03 (DB-03) [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-04-02.