Pragmatic nationwide master observational trial based on genomic alterations in advanced solid tumors: KOrean Precision Medicine Networking Group Study of MOlecular profiling guided therapy based on genomic alterations in advanced Solid tumors (KOSMOS)-II study protocol KCSG AL-22-09.

BACKGROUND: Next-generation sequencing (NGS) has been introduced to many Korean institutions to support molecular diagnostics in cancer since 2017, when it became eligible for reimbursement by the National Health Insurance Service. However, the uptake of molecularly guided treatment (MGT) based on NGS results has been limited because of stringent regulations regarding prescriptions outside of approved indications, a lack of clinical trial opportunities, and limited access to molecular tumor boards (MTB) at most institutions. The KOSMOS-II study was designed to demonstrate the feasibility and effectiveness of MGT, informed by MTBs, using a nationwide precision medicine platform. METHODS: The KOSMOS-II trial is a large-scale nationwide master observational study. It involves a framework for screening patients with metastatic solid tumors for actionable genetic alterations based on local NGS testing. It recommends MGT through a remote and centralized MTB meeting held biweekly. MGT can include one of the following options: Tier 1, the therapeutic use of investigational drugs targeting genetic alterations such as ALK, EGFR, ERBB2, BRAF, FH, ROS1, and RET, or those with high tumor mutational burden; Tier 2, comprising drugs with approved indications or those permitted for treatment outside of the indications approved by the Health Insurance Review and Assessment Service of Korea; Tier 3, involving clinical trials matching the genetic alterations recommended by the MTB. Given the anticipated proportion of patients receiving MGT in the range of 50% ± 3.25%, this study aims to enroll 1,000 patients. Patients must have progressed to one or more lines of therapy and undergone NGS before enrollment. DISCUSSION: This pragmatic master protocol provides a mass-screening platform for rare genetic alterations and high-quality real-world data. Collateral clinical trials, translational studies, and clinico-genomic databases will contribute to generating evidence for drug repositioning and the development of new biomarkers. TRIAL REGISTRATION: NCT05525858.

Deep learning-based detection and quantification of brain metastases on black-blood imaging can provide treatment suggestions: a clinical cohort study.

OBJECTIVES: We aimed to evaluate whether deep learning-based detection and quantification of brain metastasis (BM) may suggest treatment options for patients with BMs. METHODS: The deep learning system (DLS) for detection and quantification of BM was developed in 193 patients and applied to 112 patients that were newly detected on black-blood contrast-enhanced T1-weighted imaging. Patients were assigned to one of 3 treatment suggestion groups according to the European Association of Neuro-Oncology (EANO)-European Society for Medical Oncology (ESMO) recommendations using number and volume of the BMs detected by the DLS: short-term imaging follow-up without treatment (group A), surgery or stereotactic radiosurgery (limited BM, group B), or whole-brain radiotherapy or systemic chemotherapy (extensive BM, group C). The concordance between the DLS-based groups and clinical decisions was analyzed with or without consideration of targeted agents. The performance of distinguishing high-risk (B + C) was calculated. RESULTS: Among 112 patients (mean age 64.3 years, 63 men), group C had the largest number and volume of BM, followed by group B (4.4 and 851.6 mm3) and A (1.5 and 15.5 mm3). The DLS-based groups were concordant with the actual clinical decisions, with an accuracy of 76.8% (86 of 112). Modified accuracy considering targeted agents was 81.3% (91 of 112). The DLS showed 95% (82/86) sensitivity and 81% (21/26) specificity for distinguishing the high risk. CONCLUSION: DLS-based detection and quantification of BM have the potential to be helpful in the determination of treatment options for both low- and high-risk groups of limited and extensive BMs. CLINICAL RELEVANCE STATEMENT: For patients with newly diagnosed brain metastasis, deep learning-based detection and quantification may be used in clinical settings where prompt and accurate treatment decisions are required, which can lead to better patient outcomes. KEY POINTS: • Deep learning-based brain metastasis detection and quantification showed excellent agreement with ground-truth classifications. • By setting an algorithm to suggest treatment based on the number and volume of brain metastases detected by the deep learning system, the concordance was 81.3%. • When dividing patients into low- and high-risk groups, the sensitivity for detecting the latter was 95%.

Current Status and Future Direction in the Treatment of Advanced Adrenocortical Carcinoma.

PURPOSE OF REVIEW: To provide a comprehensive overview of the current understanding and developments in the treatment options for adrenocortical carcinoma (ACC), focusing on the strategies utilized for advanced disease. RECENT FINDINGS: Research has delved into the genomic landscape of ACC, revealing potential targets for therapy. Despite the failure of inhibitors aimed at the insulin like growth factor 1(IGF-1) receptor, other approaches, including vascular endothelial growth factor receptor (VEFGR) tyrosine kinase inhibitors and immune checkpoint inhibitors, are being investigated. There are also ongoing trials of combination treatments such as lenvatinib with pembrolizumab and cabozantinib with atezolizumab. ACC remains a challenging malignancy with limited effective treatment options. Although EDP-M stands as the frontline treatment, the search for effective second-line therapies is ongoing. Targeted therapies and immunotherapies, especially in combination regimens, are demonstrating potential and are the subject of continued research. The evolving genomic landscape emphasizes the significance of targeted therapies and the need for further in-depth studies to solidify effective treatment regimens for ACC.

Blood Vessel Invasion Predicts Postoperative Survival Outcomes and Systemic Recurrence Regardless of Location or Blood Vessel Type in Patients with Lung Adenocarcinoma.

BACKGROUND: Presence of blood vessel invasion (BVI) is one of the prognostic indicators for lung cancer patients with surgical resection. However, prognostic roles of the location and the type of the involved blood vessel have not been fully evaluated yet. PATIENTS AND METHODS: We retrieved the data of 217 cases of surgically resected lung adenocarcinoma from Asan Medical Center. Clinicopathologic features, including BVI, were reassessed. The location (tumor center and/or periphery) and involved blood vessel types (large and/or small vessels; arteries and/or veins) of BVI were separately examined on standard hematoxylin-eosin slides and confirmed by van Gieson elastic staining. RESULTS: BVI was identified in 35% of cases (76/217), with the tumor center (intratumoral) as the location in more than half of the cases (42/76, 55.3%). The presence of BVI was significantly associated with higher pathologic stage, increased size of invasive components, frequent pleural invasion, lymphatic permeation, and spread through alveolar spaces. BVI was significantly associated with poor overall survival (OS) and recurrence-free survival (RFS) both in univariate and multivariate survival analyses [for OS, hazard ratio (HR) 1.92, 95% confidence interval (CI) 1.06-3.48, P = 0.031; for RFS, HR 2.65, 95% CI 1.64-4.28; P < 0.001]. BVI subgroups, according to location and type of the involved blood vessels, invariably displayed significantly poor RFS; however, the results for OS varied. CONCLUSION: Regardless of their location or blood vessel type, presence of BVI is a useful predictor for postoperative survival outcomes, which should be carefully evaluated on pathologic examination.

Optimizing palliative chemotherapy for advanced invasive mucinous adenocarcinoma of the lung.

BACKGROUND: A primary pulmonary invasive mucinous adenocarcinoma (IMA) is a rare subtype of invasive adenocarcinoma of the lung. The prognosis of advanced IMA depending on chemotherapy regimen has not been fully investigated. Here, we compared the clinical outcomes of patients with advanced IMA treated with different palliative chemotherapies that included novel therapeutics. METHODS: This single-center retrospective study included a total of 79 patients diagnosed with IMA and treated with palliative chemotherapy. The primary outcome was the comparison of overall survival according to palliative chemotherapy type. Risk factors associated with death were evaluated as a secondary outcome. RESULTS: The study cohort of 79 patients comprised 27 progressive or recurrent cases and 52 initial metastatic patients. Thirteen patients (16.5%) received targeted therapy and 18 cases (22.8%) received immunotherapy. When we compared the survival outcomes of the different treatment regimens, patients with IMA treated by immunotherapy (undefined vs. non-immunotherapy 17.0 months, p < 0.001) had better overall survival rates. However, there was no difference in the prognosis between the cases treated with a targeted therapy (35.6 vs. non-targeted therapy 17.0 months, p = 0.211). None of the conventional regimens produced a better outcome. By multivariable analysis, immunotherapy (HR 0.28; 95% CI 0.11-0.74; P = 0.008) was found to be an independent prognostic factor for death. CONCLUSIONS: This study suggests that immunotherapy for patients with advanced IMA may provide favorable outcomes than other chemotherapy options.

Incidence of Pseudoprogression during Immune Checkpoint Inhibitor Therapy for Solid Tumors: A Systematic Review and Meta-Analysis.

BackgroundImmune checkpoint inhibitors (ICIs) have been increasingly used in cancer treatment, and a subset of patients undergo pseudoprogression. Recognizing the incidence of pseudoprogression is critical for clinical practice.PurposeTo evaluate by systematic review and meta-analysis the incidence of pseudoprogression in cancer treatment with ICIs, and compare the incidence according to response criteria, tumor types, and immunotherapeutic agents.Materials and MethodsMedline and Embase were searched to identify relevant studies published before December 31, 2018. Clinical trials, post hoc analysis of clinical trials, and prospective studies on ICI treatment in patients with malignant solid tumors were included. Pooled incidence of pseudoprogression for all included studies, per definition of pseudoprogression, cancer type, and drug type, was obtained by random-effects models with inverse variance weighting model.ResultsSeventeen studies with 3402 patients were analyzed. The pooled incidence of pseudoprogression was 6.0% (95% confidence interval: 5.0%, 7.0%). The definition of pseudoprogression were divided into four categories: progressive disease followed by partial response (PR) or complete response (CR) but not stable disease (SD) with Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 (six studies); progressive disease followed by SD or PR or CR with RECIST 1.1 (five studies); progressive disease followed by SD or PR or CR with RECIST 1.0 (three studies); and progressive disease followed by SD or PR or CR with immune-related response criteria (irRC) (three studies). Incidence of pseudoprogression varied from 4.5% to 8.0% per definition, ranged from 5.0% to 7.0% per cancer type, and was 5.6% with the monotherapy of programmed cell death-1 inhibitor.ConclusionThe overall incidence of pseudoprogression was 6.0% and was less than 10% in subgroup analyses according to the definitions of pseudoprogression, cancer type, and immune checkpoint inhibitor type. Varying definitions across trials and studies indicates the need for uniform criteria of pseudoprogression for solid tumors.© RSNA, 2020Online supplemental material is available for this article.See also the article by Dodd and MacDermott in this issue.

Radiomics-based prediction model for outcomes of PD-1/PD-L1 immunotherapy in metastatic urothelial carcinoma.

OBJECTIVES: To evaluate the usefulness of a radiomics-based prediction model for predicting response and survival outcomes of patients with metastatic urothelial carcinoma treated with immunotherapy targeting programmed cell death 1 (PD-1) and its ligand (PD-L1). METHODS: Sixty-two patients who underwent immunotherapy were divided into training (n = 41) and validation sets (n = 21). A total of 224 measurable lesions were identified on contrast-enhanced CT. A radiomics signature was constructed with features selected using a least absolute shrinkage and selection operator algorithm in the training set. A radiomics-based model was built based on a radiomics signature consisting of five reliable RFs and the presence of visceral organ involvement using multivariate logistic regression. According to a cutoff determined on the training set, patients in the validation set were assigned to either high- or low-risk groups. Kaplan-Meier analysis was performed to compare progression-free and overall survival between high- and low-risk groups. RESULTS: For predicting objective response and disease control, the areas under the receiver operating characteristic curves of the radiomics-based model were 0.87 (95% CI, 0.65-0.97) and 0.88 (95% CI, 0.67-0.98) for the validation set, providing larger net benefit determined by decision curve analysis than without radiomics-based model. The high-risk group in the validation set showed shorter progression-free and overall survival than the low-risk group (log-rank p = 0.044 and p = 0.035). CONCLUSIONS: The radiomics-based model may predict the response and survival outcome in patients treated with PD-1/PD-L1 immunotherapy for metastatic urothelial carcinoma. This approach may provide important and decision tool for planning immunotherapy. KEY POINTS: • A radiomics-based model was built based on radiomics features and the presence of visceral organ involvement for prediction of outcomes in metastatic urothelial carcinoma treated with immunotherapy. • This prediction model demonstrated good prediction of treatment response and higher net benefit than no model in the independent validation set. • This radiomics-based model demonstrated significant associations with progression-free and overall survival between low-risk and high-risk groups.

How Cancer Patients Perceive Clinical Trials (CTs) in the Era of CTs: Current Perception and Its Differences Between Common and Rare Cancers.

Perception has recently been highlighted as a critical determinant for participation in clinical trials (CTs) among cancer patients. We evaluated cancer patients' current perceptions of CTs using the PARTAKE questionnaires, focusing on differences between patients with common and rare cancers. From November 2015 to May 2017, we prospectively surveyed patients who had received anti-cancer treatment at Asan Medical Center. Among 333 respondents, 70.9% had common and 29.1% had rare cancers. In the cohort, 87.7% of patients with common cancers and 75.3% of patients with rare cancers answered that they heard of and knew about CTs. However, willingness to participate in CTs was expressed only in approximately 56% of patients, although it was significantly associated with awareness and perception. Surprisingly, patients with rare cancers when compared with patients with common cancers showed significantly lower levels of awareness and perception (64.2% vs 79.9%, p = 0.003 and 77.3% vs 91.9%, p < 0.001), and consequently less willingness to participate in CTs (47.4% vs 58.9%, p = 0.06). In addition, cancer patients still harbored fear and concerns about safety and reward of CTs, and demonstrated substantial lack of knowledge about the voluntary nature of CTs, which was more obvious in patients with rare cancers. We identified relatively modest willingness of cancer patients to participate in CTs regardless of generally favorable perception. These findings are highlighted by the more negative perception of CTs among patients with rare cancers relative to those with common cancers. Further education and encouragement by research and public entities seem essential to improve motivation of CTs in cancer patients beyond good perception, especially for patients with rare cancers.

A multicenter, prospective phase II trial of gemcitabine plus axitinib in patients with renal cell carcinoma with a predominant sarcomatoid component.

Introduction We conducted a multicenter, phase 2 trial using gemcitabine plus axitinib (GX) in patients with recurrent or metastatic sarcomatoid renal cell carcinoma (SRCC) to evaluate its efficacy and safety. Methods Patients with advanced RCC and a sarcomatoid component of ≥25% on resected kidney or exclusive sarcomatoid carcinoma on needle biopsy were included. Patients received gemcitabine 1000 mg/m2 intravenously on days 1 and 8 of a 3-week cycle and axitinib 5 mg twice daily. Primary endpoint was objective response rate (ORR) according to the response evaluation criteria in solid tumors version 1.1, and secondary end points were progression-free (PFS) and overall (OS) survivals and adverse events. Results Twenty-five patients were enrolled. Median age was 61 (range: 33-80), and 84% were men. The Eastern Cooperative Oncology Group performance status was one in 23 patients (92%). Clear cell carcinoma was the most common histology of the carcinoma component (60%). ORR was 56%, and 28% patients achieved stable disease with a control rate of 84%. With a median follow-up duration of 24.8 months, the median PFS was 4.2 months (95% CI, 2.3-6.1) and median OS was 8.4 months (95% CI 3.3-13.4 months). The most common grade 3 or higher adverse events were neutropenia (36%), hypertension (12%), and anorexia (12%). Most adverse events were manageable, and no unexpected toxicities were found. Conclusion GX showed promising efficacy in patients with SRCC. GX could be considered as a treatment option for patients with SRCC and should be confirmed in larger clinical trials.

Phase 2 study of adjuvant chemotherapy with docetaxel, capecitabine, and cisplatin in patients with curatively resected stage IIIB-IV gastric cancer.

OBJECTIVE: Postoperative chemotherapy with S-1 or capecitabine plus oxaliplatin is a standard treatment for resectable gastric cancer (GC). However, survival outcomes of stage IIIB-IV (M0) GC cases are still poor. We investigated the efficacy and safety of docetaxel, capecitabine, and cisplatin (DXP) in patients with stage IIIB-IV GC. METHODS: This was a single-arm phase 2 study that included patients with stage IIIB-IV GC who underwent D2 gastrectomy. Patients received six cycles of docetaxel [60 mg/m2 on day 1 (D1)], capecitabine (1,875 mg/m2/day on D1-14), and cisplatin (60 mg/m2 on D1) every 3 weeks. The primary end-point was recurrence-free survival (RFS). RESULTS: A total of 46 GC patients between January 2007 and August 2008 were included. After a median follow-up of 56.1 months (range 52.2-64.1), the median RFS and overall survival (OS) were 26.9 months (95 % CI 7.5-46.4) and 43.9 months (95 % CI 29.2-58.7), respectively. The 5-year RFS and OS rates were 39.1 and 41.3 %, respectively. The most common grade 3/4 toxicities were neutropenia (40 %), anorexia (22 %), and febrile neutropenia (15 %). CONCLUSIONS: Adjuvant DXP is feasible and effective for patients with stage IIIB-IV GC. A phase 3 study comparing triplet and doublet regimens for these patients is ongoing.

Clinical Implication of Serine Metabolism-Associated Enzymes in Colon Cancer.

PURPOSE: Recently, enzymes of the serine synthetic pathway (SSP) have been suggested as key player in the metabolic adaptation of oncogenesis. We assessed the expression of enzymes of the SSP in colonic tumor tissue (TT) and paired normal tissue (pNT) and the prognostic implications. METHODS: From 2006 to 2010, we included 486 patients with colon cancer who underwent curative surgery at Kyungpook National University Hospital. Phosphoglycerate dehydrogenase (PHGDH), pyruvate dehydrogenase kinase (PDK) 1, PDK2, pyruvate kinase M2 (PKM2), and phosphoserine aminotransferase (PSAT) expression were investigated by immunohistochemical staining (IHC) in TT and pNT. The IHC values were calculated by multiplying intensity by proportion. The final score was classified as follows: 0-2 as negative and 3-12 as positive. RESULTS: During the median follow-up duration of 55.5 months (37.4-90.6), 78 patients experienced recurrence. The expression of PHGDH, PDK1, and PSAT was significantly higher in TT than pNT (p < 0.001 for each). The univariate analysis for relapse-free survival revealed that TT PDK2 positivity was the only positive prognostic factor (p = 0.023). However, the expression of TT PDK2 did not represent a prognostic value in multivariate analysis. CONCLUSIONS: In conclusion, PHGDH, PDK1, and PSAT were significantly increased in colonic TT compared with pNT. The prognostic implication of these enzymes needs to be further investigated.

Suicide in cancer patients within the first year of diagnosis.

BACKGROUND: A diagnosis of cancer is associated with an increased suicide risk, and this risk is the highest within the first year of diagnosis. The aim of the present study was to determine risk factors of suicide occurring within the first year of cancer diagnosis (early suicide). METHODS: The sampling pool consisted of 164,497 patients with cancer admitted to a general hospital in Seoul, South Korea, from 1996 to 2009. We conducted a 1:2 matched case-control study by matching 373 patients who died from suicide (cases) with 746 patients who did not die from suicide (controls) on age, sex, anatomic site, and at the time of cancer diagnosis. Data were analyzed using Cox proportional hazards regression modeling. RESULTS: Suicide within the first year after a cancer diagnosis occurred in 149 patients (40.0% of 373 total suicides). The standardized mortality ratio (SMR) for early suicide was 1.65 [95% confidence interval (CI) = 1.40-1.94] and was significantly higher for biliary-pancreatic (SMR = 3.07; 95% CI = 2.02-4.46), lung (SMR = 1.94; 95% CI = 1.19-3.30), and stomach (SMR = 1.71; 95% CI = 1.16-2.42) cancers than for other cancers. Early and late suicide was significantly different in anatomic site (p = 0.01) and stage (p < 0.001), while not significant in other demographic factors. Advanced stage was more frequent among early suicide compared with late suicide (53.4 versus 18.7%; p < 0.001). Stage of cancer was independently associated with early suicide risk. CONCLUSIONS: Cancers with an advanced stage at diagnosis were associated with an increased risk of suicide within 1 year of diagnosis.

Prognostic impact of beta-2 microglobulin in patients with extranodal natural killer/T cell lymphoma.

Although serum beta-2 microglobulin (B2M) has been suggested as an independent prognostic factor for several lymphoproliferative diseases, it has rarely been investigated in extranodal natural killer/T cell lymphoma (ENKTL). From a prospectively collected database, 145 patients with ENKTL were identified. Among them, a total of 101 patients were included in the analysis, with exclusion of patients without baseline serum B2M level and those did not receive anticancer therapy. Serum B2M (<3.0 vs. ≥3.0 mg/L) was analyzed for association with overall survival (OS). Seventy-nine (78 %) patients had nasal ENKTL, and 22 (22 %) had extranasal ENKTL. In overall patients, median OS was 26.7 months (95 % confidence interval (CI), not assessable), with a median follow-up of 32.4 months (range, 0.9-155.2 months). While median OS was not reached in patients with nasal ENKTL, extranasal ENKTL group had median OS of 5.1 months (95 % CI, 1.2-8.9 months; p < 0.001). Baseline serum B2M was significantly associated with OS in patients with nasal ENKTL (p < 0.001). This was consistent in limited (stages I and II) nasal ENKTL (p = 0.002) and disseminated (stages III and IV) nasal ENKTL (p = 0.02). However, there was no difference of OS in extranasal ENKTL patients (p = 0.69). In multivariate analysis including other prognostic factors, elevated serum B2M was significantly associated with poor OS (hazard ratio (HR) = 3.8, 95 % CI 1.7-8.2, p = 0.001, in a model including Korean Prognostic Index, and HR = 3.6, 95 % CI 1.6-8.2, p = 0.002, in a model including International Prognostic Index). In patients with nasal ENKTL, baseline serum B2M is a powerful prognostic factor. The prognostic value of B2M was independent of previously established prognostic models. Further investigations are necessary to validate the role of B2M in ENKTL.

Outcomes of systemic treatment according to germline mutational status in patients with metastatic pheochromocytoma and paraganglioma.

INTRODUCTION: Metastatic disease affects approximately 15% to 17% of patients with pheochromocytomas and paragangliomas (PPGLs). Unfortunately, treatment options for metastatic PPGLs are limited and rely on small, nonrandomized clinical trials. The impact of germline mutation status on systemic treatment outcomes remains unclear. To address these gaps, we retrospectively evaluated treatment outcomes in patients with PPGL. PATIENTS AND METHODS: Between December 2004 and December 2021, 33 patients were diagnosed with metastatic PPGLs and received systemic treatment at the Department of Oncology, Asan Medical Center, Seoul, South Korea. RESULTS: The median age of the patients was 49. Germline mutations were revealed in nine patients (39.1%) out of 23 who underwent germline testing, with SDHB mutation being the most frequent in 5 patients. Cyclophosphamide, vincristine, and dacarbazine (CVD) chemotherapy was administered to 18 patients, with an objective response rate (ORR) of 22% and a disease control rate (DCR) of 67%. The median progression-free survival (PFS) was 7.9 and the median overall survival (OS) was 36.2 months. Sunitinib was given to 6 patients, which had an ORR of 33%, a DCR of 83%, and a median PFS of 14.6 months. Notably, patients with SDHB/SDHD mutation (4 patients and one patient, respectively) who received CVD treatment had a significantly better OS than those without (median OS 94.0 months vs. 13.7 months, P = .01). CONCLUSION: Our study reveals that CVD and sunitinib are effective treatments for metastatic PPGLs. The results are consistent with previous studies and patients with SDHB and SDHD mutations may benefit most from CVD treatment.

Clinical Outcomes of Small Cell Carcinoma of the Genitourinary Tract and the Prognostic Significance of the Tumor Immune Microenvironment.

PURPOSE: Small cell carcinoma of the genitourinary tract (GU SCC) is a rare disease with a poor prognosis. There are only limited treatment options due to insufficient understanding of the disease. In this study, we analyzed the clinical outcomes of patients with GU SCC and their association with the tumor immune phenotype. MATERIALS AND METHODS: Patients diagnosed with GU SCC were included. Survival outcomes according to the primary location (prostate and non-prostate) and stages (limited disease [LD] and extensive disease [ED]) were analyzed. We performed multiplex immunohistochemistry (IHC) in non-prostate SCC patients and analyzed the immune cell population. RESULTS: A total of 77 patients were included in this study. Their median age was 71 years, 67 patients (87.0%) were male, and 48 patients (62.3%) had non-prostate SCC. All patients with ED (n=31, 40.3%) received etoposide plus platinum (EP) as initial treatment and median overall survival (OS) was 9.7 months (95% confidence interval [CI], 7.1 to 18.6). Patients with LD (n=46, 59.7%) received EP followed by radiotherapy or surgery, and 24-months OS rate was 63.6% (95% CI, 49.9 to 81.0). The multiplex IHC analysis of 21 patients with non-prostate SCC showed that patients with a higher density of programmed death-ligand 1-expressing CD68+CD206+ M2-like macrophages had significantly worse OS outcomes with an adjusted hazards ratio of 4.17 (95% CI, 1.25 to 14.29; adjusted p=0.02). CONCLUSION: Patients with GU SCC had a poor prognosis, even those with localized disease. The tumor immune phenotypes were significantly associated with survival. This finding provides new insights for treating GU SCC.

Comparison of Clinicopathogenomic Features and Treatment Outcomes of EGFR and HER2 Exon 20 Insertion Mutations in Non-Small Cell Lung Cancer; Single-Institution Experience.

Purpose: Exon 20 insertion mutations (E20ins) in EGFR or HER2 in non-small cell lung cancer (NSCLC) patients has become more important with emergence of novel agents targeting E20ins. Materials and Methods: Advanced/Metastatic NSCLC patients with E20ins were included. EGFR E20ins was identified by two methods, next generation sequencing (NGS) or real-time polymerase chain reaction (PCR), while HER2 E20ins was done by NGS only. Results: Between December 2013 and July 2021, E20ins were identified in 107 patients at Asan Medical Center; 67 EGFR E20ins and 40 HER2 E20ins. Out of 32 patients with EGFR E20ins who had tested both PCR and NGS, 17 were identified only through NGS and the other 15 through both tests, giving a discordance rate of 53.1%. There was no clinically signficant difference in clinicopathologic features between EGFR and HER2 E20ins; both were observed more frequently in adenocarcinoma, female and never-smokers. Brain metastases were evident at diagnosis in 31.8% of EGFR E20ins and 27.5% of HER2 E20ins, respectively. Platinum-based doublets demonstrated objective response rates (ORR) of 13.3% with a median progression-free survival (PFS) of 4.2 months for EGFR E20ins and 35.3% with 4.7 months for HER2 E20ins, respectively. In contrast, novel EGFR E20ins-targeted agents exhibited an ORR of 46.2% with a median PFS of 5.4 months, while HER2-targeted agents showed an ORR of 50% with that of 7.0 months. Conclusion: Identification of EGFR and HER2 E20ins is more important as their targeted therapies improved outcomes. Upfront NGS test as a comprehensive molecular approach is strongly warranted.

Local Ablative Therapy Combined With Pembrolizumab in Patients With Synchronous Oligometastatic Non-Small Cell Lung Cancer: A Recursive Partitioning Analysis.

PURPOSE: This study aimed to evaluate the efficacy of local ablative therapy (LAT) combined with pembrolizumab in patients with synchronous oligometastatic non-small cell lung cancer (NSCLC) and to identify patients who would most benefit from LAT. METHODS AND MATERIALS: We retrospectively identified patients who received diagnosis of synchronous oligometastatic NSCLC (≤5 metastatic lesions and ≤3 organs involved) and were treated with first-line pembrolizumab between January 2017 and December 2022. Patients who underwent LAT, including surgery or radiation therapy at all disease sites, were compared with those who did not undergo LAT. A recursive partitioning analysis (RPA) model was developed using prognostic factors for progression-free survival (PFS). RESULTS: Among the 258 patients included, 78 received LAT with pembrolizumab, and 180 received pembrolizumab alone. The median follow-up duration was 15.5 months (range, 3.0-71.2 months). In the entire cohort, LAT was independently associated with significantly improved PFS (hazard ratio [HR], 0.64; P = .015) and overall survival (OS) (HR, 0.61; P = .020). In the propensity score-matched cohort (N = 74 in each group), the median PFS was 19.9 months and 9.6 months, respectively (P = .003), and the median OS was 42.2 months and 20.5 months, respectively (P = .045), for the LAT and non-LAT groups. Based on the RPA model, incorporating the number of metastatic lesions, performance status, and programmed cell death-ligand 1 expression level, patients were stratified into 3 risk groups with distinct PFS. LAT significantly improved PFS and OS in the low- and intermediate-risk groups; however, no difference was observed in the high-risk group. LAT was more effective as a consolidative treatment after pembrolizumab initiation than as an upfront therapy. CONCLUSIONS: LAT combined with pembrolizumab was associated with higher PFS and OS compared with pembrolizumab alone in selected patients with synchronous oligometastatic NSCLC. The RPA model could serve as a valuable clinical tool for identifying appropriate patients for LAT.

Avelumab first-line maintenance treatment in patients with locally advanced or metastatic urothelial carcinoma: real-world results from a Korean expanded access program.

Background: The JAVELIN Bladder 100 phase 3 trial demonstrated the efficacy and safety of avelumab administered as first-line (1L) maintenance treatment in patients with advanced urothelial carcinoma (UC) without disease progression after 1L platinum-based chemotherapy. This study provides the first real-world data from Korea regarding avelumab 1L maintenance treatment, comprising data obtained from a nationwide expanded access program (EAP). Methods: This open-label EAP was conducted at five centers from September 2021 until June 2023. Eligible patients had unresectable locally advanced or metastatic UC and were progression free after 1L platinum-based chemotherapy. Patients received avelumab 10 mg/kg intravenously every 2 weeks per local prescribing information. Safety and effectiveness were assessed by treating physicians according to routine practice. Results: Overall, 30 patients were enrolled. At initial UC diagnosis, 20 patients (66.7%) had stage 4 disease and 12 (40.0%) had visceral metastases. The most common 1L chemotherapy regimen was gemcitabine + cisplatin (21 patients; 70.0%). All but one patient (96.7%) had received 4-6 cycles of 1L chemotherapy. The median interval from end of 1L chemotherapy to start of avelumab was 4.4 weeks. Median duration of avelumab treatment was 6.2 months (range, 0.9-20.7); nine patients (30.0%) received >12 months of treatment. Adverse events related to avelumab occurred in 21 patients (70.0%) and were grade ≥3 or classified as serious in three patients (10.0%). Median progression-free survival was 7.9 months (95% CI, 4.3-13.1). Overall survival was not analyzed because only one patient died. Conclusion: Results from this EAP demonstrated the clinical activity and acceptable safety of avelumab 1L maintenance treatment in Korean patients with advanced UC, consistent with previous studies.

A new model using deep learning to predict recurrence after surgical resection of lung adenocarcinoma.

This study aimed to develop a deep learning (DL) model for predicting the recurrence risk of lung adenocarcinoma (LUAD) based on its histopathological features. Clinicopathological data and whole slide images from 164 LUAD cases were collected and used to train DL models with an ImageNet pre-trained efficientnet-b2 architecture, densenet201, and resnet152. The models were trained to classify each image patch into high-risk or low-risk groups, and the case-level result was determined by multiple instance learning with final FC layer's features from a model from all patches. Analysis of the clinicopathological and genetic characteristics of the model-based risk group was performed. For predicting recurrence, the model had an area under the curve score of 0.763 with 0.750, 0.633 and 0.680 of sensitivity, specificity, and accuracy in the test set, respectively. High-risk cases for recurrence predicted by the model (HR group) were significantly associated with shorter recurrence-free survival and a higher stage (both, p < 0.001). The HR group was associated with specific histopathological features such as poorly differentiated components, complex glandular pattern components, tumor spread through air spaces, and a higher grade. In the HR group, pleural invasion, necrosis, and lymphatic invasion were more frequent, and the size of the invasion was larger (all, p < 0.001). Several genetic mutations, including TP53 (p = 0.007) mutations, were more frequently found in the HR group. The results of stages I-II were similar to those of the general cohort. DL-based model can predict the recurrence risk of LUAD and identify the presence of the TP53 gene mutation by analyzing histopathologic features.

Contribution of Enhanced Locoregional Control to Improved Overall Survival with Consolidative Durvalumab After Concurrent Chemoradiotherapy in Locally Advanced Non-Small Cell Lung Cancer: Insights from Real-World Data.

Purpose: This study aimed to assess the real-world clinical outcomes of consolidative durvalumab in patients with unresectable locally advanced non-small cell lung cancer (LA-NSCLC) and to explore the role of radiotherapy in the era of immunotherapy. Materials and Methods: This retrospective study assessed 171 patients with unresectable LA-NSCLC who underwent concurrent chemoradiotherapy (CCRT) with or without consolidative durvalumab at Asan Medical Center between May 2018 and May 2021. Primary outcomes included freedom from locoregional failure (FFLRF), distant metastasis free survival (DMFS), progression free survival (PFS), and overall survival (OS). Results: Durvalumab following CCRT demonstrated a prolonged median PFS of 20.9 months (p=0.048) and a 3-year FFLRF rate of 57.3% (p=0.008), compared to 13.7 months and 38.8%, respectively, with CCRT alone. Furthermore, the incidence of in-field recurrence was significantly greater in the CCRT alone group compared to the durvalumab group (26.8% vs. 12.4%, p=0.027). While median OS was not reached with durvalumab, it was 35.4 months in patients receiving CCRT alone (p=0.010). Patients positive for programmed cell death ligand 1 (PD-L1) expression showed notably better outcomes, including FFLRF, DMFS, PFS, and OS. Adherence to PACIFIC trial eligibility criteria identified 100 patients (58.5%) as ineligible. The use of durvalumab demonstrated better survival regardless of eligibility criteria. Conclusion: The use of durvalumab consolidation following CCRT significantly enhanced locoregional control and OS in patients with unresectable LA-NSCLC, especially in those with PD-L1-positive tumors, thereby validating the role of durvalumab in standard care.