Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology.

PURPOSE: This study aimed to assess the efficiency of artificial intelligence (AI) in the detection of visceral pleural invasion (VPI) of lung cancer using high-resolution computed tomography (HRCT) images, which is challenging for experts because of its significance in T-classification and lymph node metastasis prediction. METHODS: This retrospective analysis was conducted on preoperative HRCT images of 472 patients with stage I non-small cell lung cancer (NSCLC), focusing on lesions adjacent to the pleura to predict VPI. YOLOv4.0 was utilized for tumor localization, and EfficientNetv2 was applied for VPI prediction with HRCT images meticulously annotated for AI model training and validation. RESULTS: Of the 472 lung cancer cases (500 CT images) studied, the AI algorithm successfully identified tumors, with YOLOv4.0 accurately localizing tumors in 98% of the test images. In the EfficientNet v2-M analysis, the receiver operating characteristic curve exhibited an area under the curve of 0.78. It demonstrated powerful diagnostic performance with a sensitivity, specificity, and precision of 76.4% in VPI prediction. CONCLUSION: AI is a promising tool for improving the diagnostic accuracy of VPI for NSCLC. Furthermore, incorporating AI into the diagnostic workflow is advocated because of its potential to improve the accuracy of preoperative diagnosis and patient outcomes in NSCLC.

AI-driven Characterization of Solid Pulmonary Nodules on CT Imaging for Enhanced Malignancy Prediction in Small-sized Lung Adenocarcinoma.

OBJECTIVES: Distinguishing solid nodules from nodules with ground-glass lesions in lung cancer is a critical diagnostic challenge, especially for tumors ≤2 cm. Human assessment of these nodules is associated with high inter-observer variability, which is why an objective and reliable diagnostic tool is necessary. This study focuses on artificial intelligence (AI) to automatically analyze such tumors and to develop prospective AI systems that can independently differentiate highly malignant nodules. MATERIALS AND METHODS: Our retrospective study analyzed 246 patients who were diagnosed with negative clinical lymph node metastases (cN0) using positron emission tomography-computed tomography (PET/CT) imaging and underwent surgical resection for lung adenocarcinoma. AI detected tumor sizes ≤2 cm in these patients. By utilizing AI to classify these nodules as solid (AI_solid) or non-solid (non-AI_solid) based on confidence scores, we aim to correlate AI determinations with pathological findings, thereby advancing the precision of preoperative assessments. RESULTS: Solid nodules identified by AI with a confidence score ≥0.87 showed significantly higher solid component volumes and proportions in patients with AI_solid than in those with non-AI_solid, with no differences in overall diameter or total volume of the tumors. Among patients with AI_solid, 16% demonstrated lymph node metastasis, and a significant 94% harbored invasive adenocarcinoma. Additionally, 44% were upstaging postoperatively. These AI_solid nodules represented high-grade malignancies. CONCLUSION: In small-sized lung cancer diagnosed as cN0, AI automatically identifies tumors as solid nodules ≤2 cm and evaluates their malignancy preoperatively. The AI classification can inform lymph node assessment necessity in sublobar resections, reflecting metastatic potential.

The Tumor Immune Microenvironment Is Associated With Recurrence in Early-Stage Lung Adenocarcinoma.

Introduction: Immune checkpoint inhibitors have recently been approved for the treatment of early-stage NSCLC in the perioperative setting on the basis of phase 3 trials. However, the characteristics of such patients who are susceptible to recurrence after adjuvant chemotherapy or who are likely to benefit from postoperative immunotherapy have remained unclear. Methods: This biomarker study (WJOG12219LTR) was designed to evaluate cancer stem cell markers (CD44 and CD133), programmed death-ligand 1 (PD-L1) expression on tumor cells, CD8 expression on tumor-infiltrating lymphocytes, and tumor mutation burden in completely resected stage II to IIIA NSCLC with the use of archived DNA and tissue samples from the prospective WJOG4107 trial. Tumors were classified as inflamed or noninflamed on the basis of the PD-L1 tumor proportion score and CD8+ tumor-infiltrating lymphocyte density. The association between each potential biomarker and relapse-free survival (RFS) during adjuvant chemotherapy was assessed by Kaplan-Meier analysis. Results: A total of 117 patients were included in this study. The median RFS was not reached (95% confidence intervals [CI]: 22.4 mo-not reached; n = 39) and 23.7 months (95% CI: 14.5-43.6; n = 41) in patients with inflamed or noninflamed adenocarcinoma, respectively (log-rank p = 0.02, hazard ratio of 0.52 [95% CI: 0.29-0.93]). Analysis of the combination of tumor inflammation category and TP53 mutation status revealed that inflamed tumors without TP53 mutations were associated with the longest RFS. Conclusions: PD-L1 expression on tumor cells, CD8+ T cell infiltration, and TP53 mutation status may help identify patients with early-stage NSCLC susceptible to recurrence after adjuvant chemotherapy.

Association between pathological infiltrative tumor growth pattern and prognosis in patients with resected lung squamous cell carcinoma.

INTRODUCTION: Lung squamous cell carcinoma (LUSC) usually shows expansive growth with large tumor nests; few reports on invasive growth patterns (INF) in LUSC have been associated with poor prognosis in gastrointestinal and urothelial cancers. In this study, we examine the association between INF and the prognosis of LUSC. MATERIALS AND METHODS: We analyzed INF as a potential prognostic factor in 254 consecutive patients with LUSC who underwent complete surgical resection at our hospital between 2008 and 2017. INF was classified into 3 categories based on the structure of the tumor other than the large round solid nest of tumor cells. RESULTS: INF was categorized as INFa in 59 patients (23 %) with only well-demarcated large solid tumor cell nests, INFb in 89 patients (35 %) with medium to small, alongside large solid nests, and INFc in 98 patients (39 %) with cord-like/small nests or isolated cells plus large or medium solid nests. No significant lymph node metastasis differences were observed between INFc and INFa/b tumors. However, in patients with p-stage I, INFc had a poorer prognosis with regard to recurrence-free survival (RFS), with a 5-year RFS rate of 53.3 %, compared to 74.9 % for INFa/b (p = 0.010). CONCLUSION: Our study highlights a novel pathological concept of INF in LUSC, and contributed to the proposal that it is a factor indicating an unfavorable prognosis in patients with early-stage LUSC. A prospective multicenter study is warranted for INFc patients, as careful follow-up and adjuvant chemotherapy might lead to the early detection and prevention of recurrence.

Sublobar resection utilizing near-infrared thoracoscopy with intravenous indocyanine green for intralobar pulmonary sequestration: a case report and literature review.

BACKGROUND: Pulmonary sequestration is a rare pulmonary malformation, with intralobar pulmonary sequestration being the most common subtype. Lobectomy has generally been performed for its treatment, owing to unclear boundaries of the lesion. However, recent reports have introduced lung resection using intravenous indocyanine green (ICG) as a treatment for pulmonary sequestrations. CASE DESCRIPTION: A 34-year-old woman presented with chest pain, and enhanced chest computed tomography (CT) displayed a solid mass of 4.5 × 3.1 cm in the right S10 area. An aberrant artery was found running from the celiac artery through the diaphragm to the thoracic cavity. The patient was diagnosed as having pulmonary sequestration Pryce type III, and surgical resection was performed. Intrathoracic findings demonstrated that the precise area of the pulmonary sequestration could not be clearly identified, and a 5-mm aberrant artery was present in the pulmonary ligament. Following the separation of the aberrant artery, intravenous injection of ICG clearly delineated the border between the normal lung tissue and the pulmonary sequestration. Wedge resection was then performed without any postoperative events, and the pathological diagnosis was also pulmonary sequestration. CONCLUSIONS: We herein reported a case of a patient who underwent sublobar resection for intrapulmonary sequestration using intravenous ICG injection, together with a literature review. Our case suggests that a comprehensive understanding of abnormal vessels and pulmonary vasculature in pulmonary resection for intrapulmonary sequestrations, complemented with the use of ICG, might potentially avoid unnecessary pulmonary resection and enable sublobar surgical resection.

Quality of life with docetaxel plus cisplatin versus paclitaxel plus carboplatin in patients with completely resected non-small cell lung cancer: quality of life analysis of TORG 0503.

PURPOSE: The TORG0503 study was undertaken to select a preferred platinum-based third-generation regimen for patients with completely resected non-small cell lung cancer (NSCLC). This study aimed to describe the quality of life (QOL) analysis of that study. METHODS: Patients with completely resected NSCLC were randomized to receive three cycles of docetaxel plus cisplatin (DC) or paclitaxel plus carboplatin (PC) on day 1 every 3 weeks. QOL was assessed at three time points (baseline, after two cycles, and after three cycles) using the Functional Assessment of Cancer Therapy-taxane (FACT-Taxane). The adjusted odds ratio (OR) and 95% confidence interval (CI) were calculated by logistic regression analysis that was adjusted for the baseline score in the FACT-Taxane total score and each subscale to evaluate treatment (PC vs. DC) effectiveness. RESULTS: QOL data from 104 patients (DC, n = 56 patients; PC, n = 48) were analyzed. In the FACT-Taxane total score, the baseline-adjusted OR (95% CI) of not worse QOL for the DC group was 3.3 (1.4-8.3) compared with the PC group. In the taxane subscale, the baseline-adjusted OR (95% CI) was 6.2 (2.6-16.0). CONCLUSION: Total QOL was maintained better in the DC group than in the PC group, especially the taxane subscale that consists of neurotoxicity and taxane components in spite of no treatment-related death in both arms between DC and PC. We might recommend DC as the control regimen for the next clinical trial from the viewpoint of QOL, similar to the primary outcomes in TORG0503.

Performance of Ultra-Rapid Idylla™ EGFR Mutation Test in Non-Small-Cell Lung Cancer and Its Potential at Clinical Molecular Screening.

BACKGROUND: The Idylla™ EGFR Mutation Test is an ultra-rapid single-gene test that detects epidermal growth factor receptor (EGFR) mutations using formalin-fixed paraffin-embedded specimens. Here, we compared the performance of the Idylla EGFR Mutation Test with the Cobas® EGFR Mutation Test v2. METHODS: Surgically resected NSCLC specimens obtained at two Japanese institutions (N = 170) were examined. The Idylla EGFR Mutation Test and the Cobas EGFR Mutation Test v2 were performed independently and the results were compared. For discordant cases, the Ion AmpliSeq Colon and Lung Cancer Research Panel V2 was performed. RESULTS: After the exclusion of five inadequate/invalid samples, 165 cases were evaluated. EGFR mutation analysis revealed 52 were positive and 107 were negative for EGFR mutation in both assays (overall concordance rate: 96.4%). Analyses of the six discordant cases revealed that the Idylla EGFR Mutation Test was correct in four and the Cobas EGFR Mutation Test v2 was correct in two. In a trial calculation, the combination of the Idylla EGFR Mutation Test followed by a multi-gene panel test will reduce molecular screening expenses if applied to a cohort with EGFR mutation frequency >17.9%. CONCLUSIONS: We demonstrated the accuracy and potential clinical utility of the Idylla EGFR Mutation Test as a molecular screening platform in terms of turnaround time and molecular testing cost if applied to a cohort with a high EGFR mutation incidence (>17.9%).

Extracellular vesicle-associated microRNA signatures related to lymphovascular invasion in early-stage lung adenocarcinoma.

Lymphovascular invasion (LVI) is a fundamental step toward the spread of cancer. Extracellular vesicles (EVs) promote cellular communication by shuttling cargo, such as microRNAs (miRNAs). However, whether EV-associated miRNAs serve as biomarkers for LVI remains unclear. This study aimed to identify EV-associated miRNAs related to LVI and validate the miRNA levels from patients with early-stage lung adenocarcinoma (LADC). Blood samples were collected from patients undergoing pulmonary resection for stage I LADC before surgery. The patients were classified into three groups according to the presence of LVI and postoperative recurrence. Serum-derived EVs in the derivation cohort were used for small RNA sequencing, while the selected LVI miRNA candidates were validated via real-time quantitative polymerase chain reaction using 44 patient and 16 healthy donor samples as the validation cohorts. Five miRNAs (miR-99b-3p, miR-26a-5p, miR-93-5p, miR-30d-5p, and miR-365b-3p) were assessed, and miR-30d-5p (p = 0.036) levels were significantly downregulated in the LVI-positive group. miR-30d-5p levels in healthy donors were lower than those in LADC patients. Patients with high miR-30d-5p levels had favorable survival compared to those with low miR-30d-5p levels. miR-30d-5p level in EVs may serve as a promising biomarker for detecting LVI in patients with early-stage LADC.

Clinical utility of psoas muscle volume in assessment of sarcopenia in patients with early-stage non-small cell lung cancer.

PURPOSE: Sarcopenia influences postoperative outcomes of patients with non-small cell lung cancer (NSCLC). Imaging tools for evaluating and diagnosing sarcopenia have developed, and a novel method of psoas volume index (PVI) obtained by measuring bilateral psoas major muscle volume has been reported. However, the relationship between sarcopenia based on PVI and clinical outcomes has not been fully investigated for patients with early-stage NSCLC. This study aimed to clarify the utility of PVI values in assessing the relationshipe between sarcopenia and clinical outcomes. METHODS: This study included 645 patients with stage I-II NSCLC who underwent curative lung resection between 2012 and 2017. Bilateral psoas major muscle volumes were calculated semi-automatically using a three-dimensional workstation. The cutoff value of PVI for defining sarcopenia was < 60.5 cm3/m3 for men and < 43.6 cm3/m3 for women. RESULTS: The avrage time to obtaine PVI was only 25 s with the 3D system, and interobserver agreements for evauating sarcopenia on PVI was 1. A total of 159 patients (24.7%) were preoperatively diagnosed with sarcopenia. On multivariate analysis, sarcopenia was an independent prognostic factor for overall survival (OS, p < 0.001), recurrence-free survival (RFS, p < 0.001), and lung cancer-specific survival (LCS, p < 0.001). The 5-year OS, RFS, and LCS were significantly worse in sarcopenic patients than non-sarcopenic patients (88.8 vs. 72.4%, p < 0.001; 80.1 vs. 65.0%, p < 0.001; 92.4 vs. 78.9%, p < 0.001, respectively). CONCLUSION: Sarcopenia diagnosed using PVI is an independent prognostic predictor of OS, RFS, and LCS in early-stage NSCLC.

Prognostic impact of artificial intelligence-based volumetric quantification of the solid part of the tumor in clinical stage 0-I adenocarcinoma.

INTRODUCTION: The size of the solid part of a tumor, as measured using thin-section computed tomography, can help predict disease prognosis in patients with early-stage lung cancer. Although three-dimensional volumetric analysis may be more useful than two-dimensional evaluation, measuring the solid part of some lesions is difficult using this methods. We developed an artificial intelligence-based analysis software that can distinguish the solid and non-solid parts (ground-grass opacity). This software calculates the solid part volume in a totally automated and reproducible manner. The predictive performance of the artificial intelligence software was evaluated in terms of survival or recurrence-free survival. METHODS: We analyzed the high-resolution computed tomography images of the primary lesion in 772 consecutive patients with clinical stage 0-I adenocarcinoma. We performed automated measurement of the solid part volume using an artificial intelligence-based algorithm in collaboration with FUJIFILM Corporation. The solid part size, the solid part volume based on traditional three-dimensional volumetric analysis, and the solid part volume based on artificial intelligence were compared. RESULTS: Higher areas under the curve related to the solid part volume were provided by the artificial intelligence-based method (0.752) than by the solid part size (0.722) and traditional three-dimensional volumetric analysis-based method (0.723). Multivariate analysis demonstrated that the solid part volume based on artificial intelligence was independently correlated with overall survival (P = 0.019) and recurrence-free survival (P < 0.001). CONCLUSION: The solid part volume measured by artificial intelligence was superior to conventional methods in predicting the prognosis of clinical stage 0-I adenocarcinoma.

Clinical Impact of Sarcopenia 1 Year After Surgery for Patients with Early-Stage Non-small Cell Lung Cancer.

BACKGROUND: Sarcopenia is associated with prognostic outcomes for patients with various solid tumors, whereas the clinical significance of sarcopenia 1 year after surgery (post-sarcopenia) for non-small cell lung cancer (NSCLC) has not been investigated. This study aimed to clarify the clinical impact of post-sarcopenia and factors associated with post-sarcopenia in NSCLC patients without preoperative sarcopenia. METHODS: This study enrolled 443 patients with clinical stage 1 or 2 NSCLC (234 patients without preoperative sarcopenia [NS group] and 209 patients with preoperative sarcopenia [S group]) who underwent computed tomography (CT) at two time points (before surgery and a year afterward) or more. The study assessed CT images at the L3 level to calculate the psoas muscle area index (PAI). The PAI cutoff value for sarcopenia was defined as 6.36 cm2/m2 for the men and 3.92 cm2/m2 for the women. RESULTS: In the NS group, the diagnosis for 40.1% of the women and 52.6% of the men was post-sarcopenia (NS-S group). The overall survival (OS) for the S and NS-S cohorts was worse than for the non-sarcopenic patients before and after surgery (p < 0.001 and p = 0.017, respectively). In the multivariable analysis, sarcopenia, either before or after surgery (hazard ratio, 3.272; p = 0.002), in the NS group was independently associated with OS, whereas the factors associated with post-sarcopenia were male sex (p = 0.002), aging (p < 0.001), and low body mass index (p < 0.001). CONCLUSIONS: Sarcopenia, either before or after surgery, is prognostic in early-stage NSCLC. Male sex, aging, and low body mass index (BMI) are associated with post-sarcopenia.

Significance of very-low-voltage coagulation plus coverage with polyglycolic acid sheet after bullectomy for primary spontaneous pneumothorax.

BACKGROUND: The purpose of this study was to clarify the efficacy of the combination of low-voltage coagulation plus staple line coverage with a polyglycolic acid sheet after bullectomy for primary spontaneous pneumothorax to prevent a postoperative recurrence. METHODS: A total of 143 patients who underwent bullectomy for primary spontaneous pneumothorax between January 2014 and December 2019 were enrolled in this study. We classified the patients into two groups based on additional procedures after bullectomy, namely, low-voltage coagulation for the margin of the staple line plus coverage with a polyglycolic acid sheet (Group A) and staple line coverage with a polyglycolic acid sheet alone (Group B). We evaluated perioperative factors and recurrence-free survival after surgery in the two groups. RESULTS: Nine patients in Group B developed postoperative recurrences. In contrast, there was no postoperative recurrence in Group A. According to the Kaplan-Meier curves, the 2-year recurrence-free survival rates of the patients were 100% and 90.3%, in Group A and Group B, respectively. The log-rank test showed a significant difference between the two groups (p = 0.031). CONCLUSION: Low-voltage coagulation for the margin of a staple line plus coverage with a polyglycolic acid sheet is a useful option as an additional technique after bullectomy for primary spontaneous pneumothorax to prevent a postoperative recurrence.

Effect of photodynamic therapy (PDT) on a rat model of bleomycin-induced interstitial pneumonia.

BACKGROUND: Even if lung cancer is detected at an early stage, surgery may be difficult in patients with severe comorbidities, like interstitial pneumonia (IP). Radiation therapy cannot be performed due to the high risk of acute IP exacerbation. Therefore, an effective alternative, such as photodynamic therapy (PDT), is required. To prove that acute exacerbation is not induced after PDT in peripheral lung cancer, we investigated the effects of PDT on IP rat models. METHODS: Bleomycin (BLM) was administered intratracheally. Seven days after administration, left thoracotomy was performed. Talaporfin sodium was injected, and diode laser irradiation (664 nm, 150mW, 100J/cm2) was performed. Seven days after PDT, the whole blood and left lungs were collected. A total of 23 rats, comprising BLM + PDT (n = 4), BLM + non-PDT (n = 10), non-BLM + PDT (n = 2), non-BLM + non-PDT (n = 5), and two rats that died immediately after PDT were observed. Serum levels of Krebs von den Lungen-6, surfactant protein-D, lactate dehydrogenase, and serum C-reactive protein were measured. Fibrosis and macrophage scorings, and the ​​collagen fibers percentage were examined by staining with hematoxylin and eosin, Elastica van Gieson, anti-α smooth muscle antibody, and anti-CD68 antibodies. RESULTS: There was no remarkable difference in the values of each marker in fibrosis and macrophage scores with or without PDT. In case of death, fibrosis was mild, and PDT was not affected. CONCLUSIONS: In IP rat models, PDT did not induce lung fibrosis or acute exacerbation.

Predictive value of EGFR mutation in non-small-cell lung cancer patients treated with platinum doublet postoperative chemotherapy.

The mutation status of tumor tissue DNA (n = 389) of resected stage II-III non-squamous non-small-cell lung cancer (Ns-NSCLC) was analyzed using targeted deep sequencing as an exploratory biomarker study (JIPANG-TR) for the JIPANG study, a randomized phase III study of pemetrexed/cisplatin (Pem/Cis) vs vinorelbine/cisplatin (Vnr/Cis). The TP53 mutation, common EGFR mutations (exon 19 deletion and L858R), and KRAS mutations were frequently detected. The frequency of the EGFR mutation was significant among female patients. Patients with an EGFR mutation-positive status had a significantly shorter recurrence-free survival (RFS) time (24 mo vs not reached) (HR, 1.64; 95% CI, 1.22-2.21; P = .0011 for EGFR mutation status). Multivariable analysis identified both the pathological stage and EGFR mutation status as independent prognostic factors for RFS (HR, 1.78; 95% CI, 1.30-2.44; P = .0003 for disease stage; and HR, 1.57; 95% CI, 1.15-2.16; P = .0050 for EGFR mutation status). This study demonstrated that the EGFR mutation has either a poor prognostic or predictive impact on a poor response to postoperative chemotherapy with platinum doublet chemotherapy for stage II-III Ns-NSCLC patients. This result supports a role for mandatory molecular diagnosis of early-stage Ns-NSCLC for precision oncology and signifies the importance of adjuvant for the 3rd generation tyrosine kinase inhibitor rather than platinum-based chemotherapy. This study is registered with the UMIN Clinical Trial Registry (UMIN 000012237).

Investigation of EGFR mutations in non-small cell lung cancer usually undetectable by PCR methods.

Epidermal growth factor receptor (EGFR) mutations are the most significant genomic drivers of non-small cell lung cancer (NSCLC) and determine the efficacy of EGFR tyrosine kinase inhibitor (EGFR-TKI) therapy. PCR methods are used clinically for the detection of EGFR mutations. The Scorpion Amplification Refractory Mutation System (Scorpion-ARMS) and the cobas® EGFR Mutation Test v2 (cobas v2) are widely used PCR methods. However, those PCR methods only selectively detect the common EGFR mutations. The aim of the present study was to reveal the true frequency of EGFR mutations in NSCLC by investigating EGFR mutations usually undetectable by PCR methods by using direct sequencing. A total of 70 Japanese patients who underwent lung resection for NSCLC between September 2016 and March 2019 were included in the present study. Subsequently, PCR methods and direct sequencing were performed. In total, 29 mutations were detected by cobas v2. In total, 41 patients were identified as EGFR wild-type by cobas v2, among whom direct sequencing detected mutations in 3 patients. Subsequent Scorpion-ARMS was performed in the 3 patients in whom direct sequencing detected mutations. In total, one exon 21 L858R + G863D compound mutation was identified as a L858R single mutation, and two other mutations were undetectable. Moreover, 1 patient who was 'wild-type' on cobas v2 but 'EGFR mutation' on direct sequencing developed recurrence after surgery and responded to EGFR-TKI treatment. In present study, the percentage of undetectable EGFR mutations by cobas v2 was 9.4% in 32 mutations. It was inferred that the cause of the discrepancy in the mutation type (L858R + G863D in exon 21, and L858R in exon 21) between cobas v2 and Scorpion ARMS was due to the different limit of detection between these two PCR methods. In conclusion, the findings of the present study suggested that a selective mutation detection method may decrease the opportunity of patients with NSCLC to receive EGFR-TKI therapy. Thus, the development of a screening test to determine the EGFR status as wild-type or mutant is required for EGFR-TKI therapy.

Artificial intelligence analysis of three-dimensional imaging data derives factors associated with postoperative recurrence in patients with radiologically solid-predominant small-sized lung cancers.

OBJECTIVES: Indications of limited resection, such as segmentectomy, have recently been reported for patients with solid-predominant lung cancers ≤2 cm. This study aims to identify unfavourable prognostic factors using three-dimensional imaging analysis with artificial intelligence (AI) technology. METHODS: A total of 157 patients who had clinical N0 non-small cell lung cancer with a radiological size ≤2 cm, and a consolidation tumour ratio > 0.5, who underwent anatomical lung resection between 2011 and 2017 were enrolled. To evaluate the three-dimensional structure, the ground-glass nodule/Solid Automatic Identification AI software Beta Version (AI software; Fujifilm Corporation, Japan) was used. RESULTS: Maximum standardized uptake value (SUVmax) and solid-part volume measured by AI software (AI-SV) showed significant differences between the 139 patients with adenocarcinoma and the 18 patients with non-adenocarcinoma. Among the adenocarcinoma patients, 42 patients (30.2%) were found to be pathological upstaging. Multivariable analysis demonstrated that high SUVmax, high carcinoembryonic antigen level and high AI-SV were significant prognostic factors for recurrence-free survival (RFS; P < 0.05). The 5-year RFS was compared between patients with tumours showing high SUVmax and those showing low SUVmax (67.7% vs 95.4%, respectively, P < 0.001). The 5-year RFS was 91.0% in patients with small AI-SV and 68.1% in those with high AI-SV (P = 0.001). CONCLUSIONS: High AI-SV, high SUVmax and abnormal carcinoembryonic antigen level were unfavourable prognostic factors of patients with solid-predominant lung adenocarcinoma with a radiological size ≤2 cm. Our results suggest that lobectomy should be preferred to segmentectomy for patients with these prognostic factors.

First-line pembrolizumab vs chemotherapy in metastatic non-small-cell lung cancer: KEYNOTE-024 Japan subset.

This prespecified subanalysis of the global, randomized controlled phase III KEYNOTE-024 study of pembrolizumab vs chemotherapy in previously untreated metastatic non-small-cell lung cancer without EGFR/ALK alterations and a programmed death-ligand 1 (PD-L1) tumor proportion score of 50% or greater evaluated clinical outcomes among patients enrolled in Japan. Treatment consisted of pembrolizumab 200 mg every 3 weeks (35 cycles) or platinum-based chemotherapy (four to six cycles). The primary end-point was progression-free survival; secondary end-points included overall survival and safety. Of 305 patients randomized in KEYNOTE-024 overall, 40 patients were enrolled in Japan (all received treatment: pembrolizumab, n = 21; chemotherapy, n = 19). The hazard ratio (HR) for progression-free survival by independent central review (data cut-off date, 10 July 2017) was 0.25 (95% confidence interval [CI], 0.10-0.64; one-sided, nominal P = .001). The HR for overall survival (data cut-off date, 15 February 2019) was 0.39 (95% CI, 0.17-0.91; one-sided, nominal P = .012). Treatment-related adverse events occurred in 21/21 (100%) pembrolizumab-treated and 18/19 (95%) chemotherapy-treated patients; eight patients (38%) and nine patients (47%), respectively, had grade 3-5 events. Immune-mediated adverse events and infusion reactions occurred in 11 patients (52%) and four patients (21%), respectively; four patients (19%) and one patient (5%), respectively, had grade 3-5 events. Consistent with results from KEYNOTE-024 overall, first-line pembrolizumab improved progression-free survival and overall survival vs chemotherapy with manageable safety among Japanese patients with metastatic non-small-cell lung cancer without EGFR/ALK alterations and a PD-L1 tumor proportion score of 50% or greater. The trial is registered with ClinicalTrials.gov: NCT02142738.

Serum-derived exosomal PD-L1 expression to predict anti-PD-1 response and in patients with non-small cell lung cancer.

PD-L1 expression is the most useful predictive biomarker for immunotherapy efficacy on non-small cell lung cancer (NSCLC), and CD8+ tumor-infiltrating lymphocytes (CD8+ TILs) play an essential role in the clinical activity of immunotherapy. PD-L1 is found on the exosome's surface, and PD-L1 expressing exosomes can inhibit antitumor immune responses. This study aimed to analyze tumor PD-L1 expression, serum exosomal PD-L1, and CD8+ TILs to investigate anti-PD-1 response and clinicopathological outcomes in NSCLC. One hundred twenty patients with stage I-III NSCLC were enrolled, and serum samples collected during the initial surgery were pooled. The Human CD274/PD-L1 ELISA kit was used to quantify the exosomal PD-L1. Exosomal PD-L1 levels were significantly correlated with tumor PD-L1 levels (p < 0.001) and the number of CD8+ TILs (p = 0.001). Patients with exosomal PD-L1 ≥ 166 pg/mL tended to have a worse RFS than those with < 166 pg/mL in all stage (p = 0.163) and stage I patients (p = 0.116). Seventeen patients exhibited postoperative recurrences and received anti-PD-1 treatment. The disease control rate of patients with exosomal PD-L1 ≥ 166 pg/mL was 100%. The measurement of serum exosomal PD-L1 as a quantitative factor with tumor PD-L1 status may help predict anti-PD-1 response and clinical outcomes in patients with NSCLC.