Endocrine immune-related adverse event is a prognostic biomarker independent of lead-time bias.

OBJECTIVES: Immune-related adverse events (irAEs) are known to be associated with clinical efficacy and better prognoses in patients receiving immune checkpoint inhibitors. In particular, endocrine irAE (e-irAE) is related to better prognoses. Since the incidence of irAEs increase as treatment duration becomes longer, we should consider lead-time bias not to overvalue the result. We evaluated the impact of e-irAE on the outcome before and after 6-, 9-, and 12-week landmark analyses. MATERIALS AND METHODS: We evaluated 222 patients with advanced or recurrent non-small cell lung cancer who received anti-PD-1 antibodies such as nivolumab or pembrolizumab from January 2016 to April 2021. Treatment efficacy and outcomes of patients with or without e-irAE (e-irAE group or no e-irAE group) were retrospectively evaluated. In addition, we performed 6-, 9-, and 12-week landmark analyses to exclude the effect of lead-time bias. RESULTS: Median progression free survival (PFS) was significantly longer in the e-irAE group than in the no e-irAE group (overall: 15.3 vs 3.9 months, p < 0.0001; 6-week: 15.3 vs 4.9 months, p < 0.0002; 9-week: 19.8 vs 6.1 months, p = 0.0012, 12-week: 19.8 vs 8.4 months, p = 0.017). Overall survival (OS) was significantly longer in the e-irAE group (overall: not reached (NR) vs 15.4 months, p = 0.0003; 6-week: NR vs 19.1 months, p = 0.0049, 9-week: NR vs 22.2 months, p = 0.006; 12-week: NR vs 23.3 months, p = 0.04). We used the multivariate cox proportional hazard model to adjust for confounding factors and found that e-irAE had better impact on both PFS and OS (PFS: overall: hazard ratio 0.37 [95% confidence interval 0.23-0.56], 6-week: 0.41 [0.26-0.63], 9-week: 0.43 [0.24-0.63], 12-week: 0.52 [0.31-0.84]; OS: overall: 0.40 [0.22-0.68], 6-week: 0.46 [0.25-0.79], 9-week: 0.47 [0.24-0.84], 12-week: 0.58 [0.29-1.08]). CONCLUSION: The occurrence of endocrine irAE was associated with better efficacy and prognoses regardless of the lead-time bias.

TDP2 is a regulator of estrogen-responsive oncogene expression.

With its ligand estrogen, the estrogen receptor (ER) initiates a global transcriptional program, promoting cell growth. This process involves topoisomerase 2 (TOP2), a key protein in resolving topological issues during transcription by cleaving a DNA duplex, passing another duplex through the break, and repairing the break. Recent studies revealed the involvement of various DNA repair proteins in the repair of TOP2-induced breaks, suggesting potential alternative repair pathways in cases where TOP2 is halted after cleavage. However, the contribution of these proteins in ER-induced transcriptional regulation remains unclear. We investigated the role of tyrosyl-DNA phosphodiesterase 2 (TDP2), an enzyme for the removal of halted TOP2 from the DNA ends, in the estrogen-induced transcriptome using both targeted and global transcription analyses. MYC activation by estrogen, a TOP2-dependent and transient event, became prolonged in the absence of TDP2 in both TDP2-deficient cells and mice. Bulk and single-cell RNA-seq analyses defined MYC and CCND1 as oncogenes whose estrogen response is tightly regulated by TDP2. These results suggest that TDP2 may inherently participate in the repair of estrogen-induced breaks at specific genomic loci, exerting precise control over oncogenic gene expression.

[Retracted] Predictors of efficacy of anamorelin in patients with non­small cell lung cancer and cachexia: A retrospective study.

[This retracts the article DOI: 10.3892/ol.2023.14154.].

Comparative analysis of anti-osteoporosis medications in preventing vertebral body fractures after balloon kyphoplasty.

This retrospective study compared the efficacy of anabolic agents (romosozumab and teriparatide) with that of alendronate in preventing subsequent vertebral body fractures (SVBFs) after balloon kyphoplasty (BKP). All anabolic agents significantly reduced SVBFs. Romosozumab was most effective in increasing bone mineral density (BMD) and completely suppressed distant vertebral body fractures. INTRODUCTION: To determine optimal anti-osteoporosis medications, we compared romosozumab and teriparatide to alendronate as a control from perioperative BKP to the 1st postoperative year for treatment and secondary fracture prevention in osteoporosis. METHODS: A total of 603 patients who underwent initial BKP for osteoporotic vertebral fractures were evaluated and categorized into five groups based on drug administration: romosozumab (group R, 155 patients), twice-weekly teriparatide (group TW, 48), weekly teriparatide (group W, 151), daily teriparatide (group D, 138), and alendronate (control) (group C, 111). The 1-year incidence of SVBFs, BMD change rate, and probability of requiring BKP were compared among the groups. RESULTS: SVBF incidence was 3.9%, 6.5%, 8.3%, 6.0%, and 14.4% in groups R, D, TW, W, and C, respectively, with all other groups exhibiting significantly lower rates than group C. The groups that administered the anabolic agents had a notably lower incidence of distant fractures than group C. Compared with group C, group R showed significantly higher BMD change rates in lumbar vertebral bodies at 4, 8, and 12 months and group D at 12 months. Anabolic agent groups exhibited significantly higher improvement rates than group C after conservative treatment alone. CONCLUSION: The anabolic agents were found to be more effective at reducing the incidence of SVBF (especially distant vertebral fractures) than alendronate. These agents decreased the rate of repeat BKP even after the occurrence of a fracture. Overall, the use of an anabolic agent for the treatment of osteoporosis after BKP is better than the use of alendronate, even when treatment is initiated in the perioperative stage.

Tertiary lymphoid structures and B cells determine clinically relevant T cell phenotypes in ovarian cancer.

Intratumoral tertiary lymphoid structures (TLSs) have been associated with improved outcome in various cohorts of patients with cancer, reflecting their contribution to the development of tumor-targeting immunity. Here, we demonstrate that high-grade serous ovarian carcinoma (HGSOC) contains distinct immune aggregates with varying degrees of organization and maturation. Specifically, mature TLSs (mTLS) as forming only in 16% of HGSOCs with relatively elevated tumor mutational burden (TMB) are associated with an increased intratumoral density of CD8+ effector T (TEFF) cells and TIM3+PD1+, hence poorly immune checkpoint inhibitor (ICI)-sensitive, CD8+ T cells. Conversely, CD8+ T cells from immunologically hot tumors like non-small cell lung carcinoma (NSCLC) are enriched in ICI-responsive TCF1+ PD1+ T cells. Spatial B-cell profiling identifies patterns of in situ maturation and differentiation associated with mTLSs. Moreover, B-cell depletion promotes signs of a dysfunctional CD8+ T cell compartment among tumor-infiltrating lymphocytes from freshly isolated HGSOC and NSCLC biopsies. Taken together, our data demonstrate that - at odds with NSCLC - HGSOC is associated with a low density of follicular helper T cells and thus develops a limited number of mTLS that might be insufficient to preserve a ICI-sensitive TCF1+PD1+ CD8+ T cell phenotype. These findings point to key quantitative and qualitative differences between mTLSs in ICI-responsive vs ICI-irresponsive neoplasms that may guide the development of alternative immunotherapies for patients with HGSOC.

Comparison of natural language processing algorithms in assessing the importance of head computed tomography reports written in Japanese.

PURPOSE: To propose a five-point scale for radiology report importance called Report Importance Category (RIC) and to compare the performance of natural language processing (NLP) algorithms in assessing RIC using head computed tomography (CT) reports written in Japanese. MATERIALS AND METHODS: 3728 Japanese head CT reports performed at Osaka University Hospital in 2020 were included. RIC (category 0: no findings, category 1: minor findings, category 2: routine follow-up, category 3: careful follow-up, and category 4: examination or therapy) was established based not only on patient severity but also on the novelty of the information. The manual assessment of RIC for the reports was performed under the consensus of two out of four neuroradiologists. The performance of four NLP models for classifying RIC was compared using fivefold cross-validation: logistic regression, bidirectional long-short-term memory (BiLSTM), general bidirectional encoder representations of transformers (general BERT), and domain-specific BERT (BERT for medical domain). RESULTS: The proportion of each RIC in the whole data set was 15.0%, 26.7%, 44.2%, 7.7%, and 6.4%, respectively. Domain-specific BERT showed the highest accuracy (0.8434 ± 0.0063) in assessing RIC and significantly higher AUC in categories 1 (0.9813 ± 0.0011), 2 (0.9492 ± 0.0045), 3 (0.9637 ± 0.0050), and 4 (0.9548 ± 0.0074) than the other models (p < .05). Analysis using layer-integrated gradients showed that the domain-specific BERT model could detect important words, such as disease names in reports. CONCLUSIONS: Domain-specific BERT has superiority over the other models in assessing our newly proposed criteria called RIC of head CT radiology reports. The accumulation of similar and further studies of has a potential to contribute to medical safety by preventing missed important findings by clinicians.

Machine learning analysis of pathological images to predict 1-year progression-free survival of immunotherapy in patients with small-cell lung cancer.

BACKGROUND: In small-cell lung cancer (SCLC), the tumor immune microenvironment (TIME) could be a promising biomarker for immunotherapy, but objectively evaluating TIME remains challenging. Hence, we aimed to develop a predictive biomarker of immunotherapy efficacy through a machine learning analysis of the TIME. METHODS: We conducted a biomarker analysis in a prospective study of patients with extensive-stage SCLC who received chemoimmunotherapy as the first-line treatment. We trained a model to predict 1-year progression-free survival (PFS) using pathological images (H&E, programmed cell death-ligand 1 (PD-L1), and double immunohistochemical assay (cluster of differentiation 8 (CD8) and forkhead box P3 (FoxP3)) and patient information. The primary outcome was the mean area under the curve (AUC) of machine learning models in predicting the 1-year PFS. RESULTS: We analyzed 100,544 patches of pathological images from 78 patients. The mean AUC values of patient information, pathological image, and combined models were 0.789 (range 0.571-0.982), 0.782 (range 0.750-0.911), and 0.868 (range 0.786-0.929), respectively. The PFS was longer in the high efficacy group than in the low efficacy group in all three models (patient information model, HR 0.468, 95% CI 0.287 to 0.762; pathological image model, HR 0.334, 95% CI 0.117 to 0.628; combined model, HR 0.353, 95% CI 0.195 to 0.637). The machine learning analysis of the TIME had better accuracy than the human count evaluations (AUC of human count, CD8-positive lymphocyte: 0.681, FoxP3-positive lymphocytes: 0.626, PD-L1 score: 0.567). CONCLUSIONS: The spatial analysis of the TIME using machine learning predicted the immunotherapy efficacy in patients with SCLC, thus supporting its role as an immunotherapy biomarker.

Durvalumab after chemoradiotherapy in non-small cell lung cancer with EGFR mutation: A real-world study (HOT2101).

Durvalumab has been administered to patients with unresectable stage III non-small cell lung cancer (NSCLC). However, it remains unclear whether durvalumab benefits these patients with epidermal growth factor receptor (EGFR) mutation. We conducted a retrospective, multicenter study of patients with EGFR mutation who received chemoradiotherapy (CRT) between June 2018 and March 2021. We assessed patient characteristics, efficacy of durvalumab, and durvalumab safety before and after targeted therapy. We collected data on a total of 673 patients, of whom 401 (59.6%) underwent EGFR mutation testing. Fifty-one patients were EGFR positive and 311 were EGFR negative. In the EGFR-positive group, there were higher proportions of females, never-smokers, and patients with adenocarcinoma histology. Of the 51 patients in the positive group and 311 in the negative group who received CRT, 45 (88.2%) and 247 (79.4%) received durvalumab, with median progression-free survival of 23.0 and 24.2 months in the positive and negative groups, respectively (hazard ratio 1.03; 95% confidence interval: 0.64-1.67). The main adverse event was pneumonitis (positive group: 62.2%; 4.4% grade 3; negative group: 62.3%; 6.9% grade 3). No treatment-related deaths were observed. Of the 45 patients in the positive group who received durvalumab, 14 (31.1%) received targeted therapy after durvalumab at the data cutoff. One patient discontinued targeted therapy after developing pneumonitis. In patients with unresectable stage III NSCLC with EGFR mutation, durvalumab after CRT is potentially safe and effective. This may be a suitable treatment sequence for these patients.

A Practical Approach for Targeting Structural Variants Genome-wide in Plasma Cell-free DNA.

Interrogating plasma cell-free DNA (cfDNA) to detect cancer offers promise; however, no current tests scan structural variants (SVs) throughout the genome. Here, we report a simple molecular workflow to enrich a tumorigenic SV (DNA palindromes/fold-back inversions) that often demarcates genomic amplification and its feasibility for cancer detection by combining low-throughput next-generation sequencing with automated machine learning (Genome-wide Analysis of Palindrome Formation, GAPF-seq). Tumor DNA signal manifested as skewed chromosomal distributions of high-coverage 1-kb bins (HCBs), differentiating 39 matched breast tumor DNA from normal DNA with an average AUC of 0.9819. In a proof-of-concept liquid biopsy study, cfDNA from 0.5 mL plasma from prostate cancer patients was sufficient for binary classification against matched buffy coat DNA with an average AUC of 0.965. HCBs on the X chromosome emerged as a determinant feature and were associated with AR amplification. GAPF-seq could generate unique cancer-specific SV profiles in an agnostic liquid biopsy setting.

A phase II study of atezolizumab with bevacizumab, carboplatin, and paclitaxel for patients with EGFR-mutated NSCLC after TKI treatment failure (NEJ043 study).

INTRODUCTION: Treatment options for patients with epidermal growth factor receptor (EGFR)-mutated non-small cell lung cancer (NSCLC) after EGFR-tyrosine kinase inhibitor (TKI) treatment failure are limited. An exploratory analysis of 26 patients in the IMpower150 study indicated that treatment with atezolizumab, bevacizumab, carboplatin, and paclitaxel (ABCP) was effective in patients with EGFR-mutated NSCLC. This phase II study was conducted to assess the efficacy of ABCP in EGFR-mutated NSCLC patients after TKI treatment. METHODS: Patients with non-squamous NSCLC harboring sensitizing EGFR mutations were enrolled. ABCP therapy was administered every 3 weeks for four cycles, followed by maintenance therapy with atezolizumab and bevacizumab. The primary endpoint was progression-free survival (PFS) according to extramural review (ER). Key secondary endpoints and preplanned analysis included overall survival (OS), overall response rate (ORR), and differences in the efficacy of ABCP according to prior EGFR-TKI administration, liver metastases, and brain metastases. RESULTS: Sixty patients from 26 centers were enrolled. Median PFS was 7.4 months (95% confidence interval [CI]: 5.7-8.2). The median OS was 23.1 months (95% CI: 13.1-not reached), and the ORR was 55.9%. PFS was significantly shorter in patients who had received osimertinib as a first-line treatment (7.2 months vs. 7.4 months, hazard ratio [HR] 1.932, p = 0.023), those with brain metastases (5.7 months vs. 8 months, HR 1.86, p = 0.032), or those with liver metastases (5.4 months vs. 7.9 months, HR 2.779, p = 0.003). CONCLUSIONS: Although this study did not meet the primary endpoint, ABCP showed clinically meaningful efficacy in EGFR-mutated NSCLC patients.

A Practical Approach for Targeting Structural Variants Genome-wide in Plasma Cell-free DNA.

Plasma cell-free DNA (cfDNA) is a promising source of gene mutations for cancer detection by liquid biopsy. However, no current tests interrogate chromosomal structural variants (SVs) genome-wide. Here, we report a simple molecular and sequencing workflow called Genome-wide Analysis of Palindrome Formation (GAPF-seq) to probe DNA palindromes, a type of SV that often demarcates gene amplification. With low-throughput next-generation sequencing and automated machine learning, tumor DNA showed skewed chromosomal distributions of high-coverage 1-kb bins (HCBs), which differentiated 39 breast tumors from matched normal DNA with an average Area Under the Curve (AUC) of 0.9819. A proof-of-concept liquid biopsy study using cfDNA from prostate cancer patients and healthy individuals yielded an average AUC of 0.965. HCBs on the X chromosome emerged as a determinant feature and were associated with androgen receptor gene amplification. As a novel agnostic liquid biopsy approach, GAPF-seq could fill the technological gap offering unique cancer-specific SV profiles.

Extended ICI treatment after first-line chemoimmunotherapy could predict the clinical benefit of ramucirumab plus docetaxel in advanced non-small lung cancer: Post hoc analysis from NEJ051 (REACTIVE study).

BACKGROUND: The factors that predict the clinical response to ramucirumab plus docetaxel (RD) after first-line chemoimmunotherapy are unresolved. We explored whether the therapeutic efficacy of prior chemoimmunotherapy could predict the outcome of RD as sequential therapy in patients with advanced non-small cell lung cancer (NSCLC). METHODS: Our study comprised 288 patients with advanced NSCLC who received RD as the second-line treatment after first-line chemoimmunotherapy at 62 Japanese institutions. Chemoimmunotherapy consisted of a platinum-based regimen and immune checkpoint inhibitors (ICIs). The association between several variables and the therapeutic outcome of RD was determined via logistic regression analysis. RESULTS: Of the 288 patients, 225 (78.1%) received maintenance therapy and 108 (37.5%) received both ICI treatment for >180 days and maintenance therapy. All of 108 patients having ICIs for >180 days received maintenance therapy. Univariate analysis identified performance status, histology (adenocarcinoma), maintenance therapy, and ICI treatment >180 days as significant predictors of better progression-free survival (PFS) and overall survival (OS) after RD administration. Multivariate analysis confirmed that these factors independently predicted favorable PFS and OS. The therapeutic response and PD-L1 expression were not closely associated with outcome after RD treatment. In particular, maintenance therapy >4 cycles was more predictive of the better prognosis for RD treatment. CONCLUSION: Extended ICI treatment after chemoimmunotherapy and maintenance therapy enhanced the efficacy of second-line RD treatment in patients with advanced NSCLC.

Predictors of efficacy of anamorelin in patients with non­small cell lung cancer and cachexia: A retrospective study.

Anamorelin, a ghrelin receptor agonist, is approved in Japan for the treatment of cachexia in patients with lung and gastrointestinal cancer. However, there is limited research on the usefulness of anamorelin in clinical settings, therefore, the present study evaluated its efficacy using patient characteristics. A total of 40 patients with non-small cell lung cancer and cachexia who were prescribed anamorelin in the Department of Respiratory Medicine, Hirosaki University Graduate School of Medicine (Aomori, Japan) between July 2021 and November 2022, were retrospectively assessed. Anamorelin was prescribed at a dose of 100 mg once daily to patients who had lost >5% of their body weight within 6 months. All patients were weighed before treatment and those who continued anamorelin treatment for 12 weeks were also weighed at 12 weeks. A logistic regression analysis was used to analyze the association between background characteristics and early discontinuation of treatment with anamorelin (within 4 weeks). The median age was 67 years (range, 36-88), and 65% of the patients were male. There were 24 patients (60.0%) with an Eastern Cooperative Oncology Group Performance Status (ECOG-PS) score 1, 11 patients (27.5%) with an ECOG-PS score 2 and five patients (12.5%) with an ECOG-PS score 3. The early discontinuation group included 11 patients (27.5%). An ECOG-PS score ≥2 (odds ratio, 7.85; 95% confidence interval, 1.43-43.21; P=0.018) was associated with early discontinuation. A total of 18/40 patients (45.0%) were able to continue anamorelin treatment for 12 weeks, and the mean change in body weight was +2.31 kg, which was a significant change from the weight recorded at baseline (P=0.027). The mean changes in lean body mass and soft lean mass between baseline and 12 weeks were +1.97 kg (P=0.14) and +1.26 kg (P=0.15), respectively. The results from the present study indicate that anamorelin is unlikely to be useful for patients with a poor general condition (ECOG-PS score ≥2).

Role of G-protein-coupled estrogen receptor in the pathogenesis of chronic asthma.

BACKGROUND AND AIM: G protein-coupled estrogen receptor (GPER) is an estrogen receptor located on the plasma membrane. We previously reported that the administration of G-1, a GPER-specific agonist, suppressed development of acute ovalbumin (OVA)-induced asthma in a mouse model. Herein, we evaluate the involvement of GPER in a mouse model of chronic OVA asthma. METHODS: G-1 or saline was administered subcutaneously to BALB/c mice with chronic OVA asthma, and pathological and immunological evaluation was performed. In addition, Foxp3-expressing CD4-positive T-cells in the spleen and ILC2 in the lungs were measured using flow cytometry. RESULTS: We observed a significant decrease in the number of inflammatory cells in the bronchoalveolar lavage fluid (BALF) in the G-1 treated group. In the airways, inflammatory cell accumulation, Th2 cytokines (IL-4, IL-5, IL-13, and eotaxin) and epithelial cytokine TSLP were suppressed, while in the BALF, anti-inflammatory cytokines (IL-10 and TGF-ß) were increased. Furthermore, in splenic mononuclear cells, Foxp3-expressing CD4-positive T-cells were increased in the G-1 group, whereas treatment with G-1 did not change the percentage of ILC2 in the lungs. CONCLUSION: G-1 administration suppressed allergic airway inflammation in mice with chronic OVA asthma. GPER may be a potential therapeutic target for chronic allergic asthma.

Multicenter, Retrospective Study to Evaluate Necitumumab Plus Cisplatin and Gemcitabine After Immune Checkpoint Inhibitors in Advanced Squamous Cell Lung Cancer in Japan: The NINJA Study.

Introduction: Necitumumab plus gemcitabine and cisplatin (GCN) is a standard therapy for patients with advanced lung squamous cell carcinoma (LSqCC). However, the efficacy and tolerability of GCN in second-line or later treatment for patients previously treated with immune checkpoint inhibitors (ICIs) remain unknown. Methods: This multicenter, retrospective, cohort study assessed the efficacy and tolerability of GCN initiated between November 1, 2019 and March 31, 2022 as second-line to fourth-line treatment in patients with advanced LSqCC who had been pretreated with ICIs. The primary end point was progression-free survival (PFS). Results: A total of 93 patients from 35 institutions in Japan were enrolled. The median PFS, median overall survival (OS), and objective response rate were 4.4 months (95% confidence interval [CI]: 3.8-5.3), 13.3 months (95% CI: 9.6-16.5), and 27.3% (95% CI: 18.3-37.8), respectively. The median PFS, median OS, and objective response rate for second-line, third-line, and fourth-line treatment groups were 4.8 months, 3.8 months, and 4.3 months (p = 0.24); 15.7 months, 11.6 months, and 10.1 months (p = 0.06); and 31.0%, 13.6%, and 37.5% (p = 0.22), respectively. The severity of GCN-related skin disorders was associated with longer PFS (p < 0.05) and OS (p < 0.05). The frequencies of grade ≥3 skin disorders, hypomagnesemia, pneumonitis, and febrile neutropenia were 16.1%, 7.5%, 1.1%, and 4.3%, respectively. There were no treatment-related deaths. Conclusions: GCN for ICI-pretreated patients with LSqCC seems tolerable and offers promising efficacy regardless of treatment line, and ICI pretreatment might enhance GCN efficacy.

Autonomous action and cooperativity between the ONECUT2 transcription factor and its 3' untranslated region.

The transcription factor ONECUT2 (OC2) is a master transcriptional regulator operating in metastatic castration-resistant prostate cancer that suppresses androgen receptor activity and promotes neural differentiation and tumor cell survival. OC2 mRNA possesses an unusually long (14,575 nt), evolutionarily conserved 3' untranslated region (3' UTR) with many microRNA binding sites, including up to 26 miR-9 sites. This is notable because miR-9 targets many of the same genes regulated by the OC2 protein. Paradoxically, OC2 expression is high in tissues with high miR-9 expression. The length and complex secondary structure of OC2 mRNA suggests that it is a potent master competing endogenous RNA (ceRNA) capable of sequestering miRNAs. Here, we describe a novel role for OC2 3' UTR in lethal prostate cancer consistent with a function as a ceRNA. A plausible ceRNA network in OC2-driven tumors was constructed computationally and then confirmed in prostate cancer cell lines. Genes regulated by OC2 3' UTR exhibited high overlap (up to 45%) with genes driven by the overexpression of the OC2 protein in the absence of 3' UTR, indicating a cooperative functional relationship between the OC2 protein and its 3' UTR. These overlapping networks suggest an evolutionarily conserved mechanism to reinforce OC2 transcription by protection of OC2-regulated mRNAs from miRNA suppression. Both the protein and 3' UTR showed increased polycomb-repressive complex activity. The expression of OC2 3' UTR mRNA alone (without protein) dramatically increased the metastatic potential by in vitro assays. Additionally, OC2 3' UTR increased the expression of Aldo-Keto reductase and UDP-glucuronyl transferase family genes responsible for altering the androgen synthesis pathway. ONECUT2 represents the first-described dual-modality transcript that operates as both a key transcription factor driving castration-resistant prostate cancer and a master ceRNA that promotes and protects the same transcriptional network.

Prospective exosome-focused translational research for afatinib (EXTRA) study of patients with nonsmall cell lung cancer harboring EGFR mutation: an observational clinical study.

Background: The exosome-focused translational research for afatinib (EXTRA) study is the first trial to identify novel predictive biomarkers for longer treatment efficacy of afatinib in patients with epidermal growth factor receptor (EGFR) mutation-positive nonsmall cell lung cancer (NSCLC) via a comprehensive association study using genomic, proteomic, epigenomic, and metabolomic analyses. Objectives: We report details of the clinical portion prior to omics analyses. Design: A prospective, single-arm, observational study was conducted using afatinib 40 mg/day as an initial dose in untreated patients with EGFR mutation-positive NSCLC. Dose reduction to 20 mg every other day was allowed. Methods: Progression-free survival (PFS), overall survival (OS), and adverse events (AEs) were evaluated. Results: A total of 103 patients (median age 70 years, range 42-88 years) were enrolled from 21 institutions in Japan between February 2017 and March 2018. After a median follow-up of 35.0 months, 21% remained on afatinib treatment, whereas 9% had discontinued treatment because of AEs. The median PFS was 18.4 months, with a 3-year PFS rate of 23.3%. The median afatinib treatment duration in patients with final doses of 40 (n = 27), 30 (n = 23), and 20 mg/day (n = 35), and 20 mg every other day (n = 18) were 13.4, 15.4, 18.8, and 18.3 months, respectively. The median OS was not reached, with a 3-year OS rate of 58.5%. The median OS in patients who did (n = 25) and did not (n = 78) receive osimertinib during the entire course of treatment were 42.4 months and not reached, respectively (p = 0.654). Conclusions: As the largest prospective study in Japan, this study confirmed favorable OS following first-line afatinib in patients with EGFR mutation-positive NSCLC in a real-world setting. Further analysis of the EXTRA study is expected to identify novel predictive biomarkers for afatinib. Trial registration: UMIN-CTR identifier (UMIN000024935, https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_his_list.cgi?recptno=R000028688.

Deep-learning approach to detect childhood glaucoma based on periocular photograph.

Childhood glaucoma is one of the major causes of blindness in children, however, its diagnosis is of great challenge. The study aimed to demonstrate and evaluate the performance of a deep-learning (DL) model for detecting childhood glaucoma based on periocular photographs. Primary gaze photographs of children diagnosed with glaucoma with appearance features (corneal opacity, corneal enlargement, and/or globe enlargement) were retrospectively collected from the database of a single referral center. DL framework with the RepVGG architecture was used to automatically recognize childhood glaucoma from photographs. The average receiver operating characteristic curve (AUC) of fivefold cross-validation was 0.91. When the fivefold result was assembled, the DL model achieved an AUC of 0.95 with a sensitivity of 0.85 and specificity of 0.94. The DL model showed comparable accuracy to the pediatric ophthalmologists and glaucoma specialists in diagnosing childhood glaucoma (0.90 vs 0.81, p = 0.22, chi-square test), outperforming the average of human examiners in the detection rate of childhood glaucoma in cases without corneal opacity (72% vs. 34%, p = 0.038, chi-square test), with a bilateral corneal enlargement (100% vs. 67%, p = 0.03), and without skin lesions (87% vs. 64%, p = 0.02). Hence, this DL model is a promising tool for diagnosing missed childhood glaucoma cases.

Genome-Wide Analysis of Palindrome Formation with Next-Generation Sequencing (GAPF-Seq) and a Bioinformatics Pipeline for Assessing De Novo Palindromes in Cancer Genomes.

DNA palindromes are a type of chromosomal aberration that appears frequently during tumorigenesis. They are characterized by sequences of nucleotides that are identical to their reverse complements and often arise due to illegitimate repair of DNA double-strand breaks, fusion of telomeres, or stalled replication forks, all of which are common adverse early events in cancer. Here, we describe the protocol for enriching palindromes from genomic DNA sources with low-input DNA amounts and detail a bioinformatics tool for assessing the enrichment and location of de novo palindrome formation from low-coverage whole-genome sequencing data.

Subsequent treatment for locally advanced non-small-cell lung cancer that progressed after definitive chemoradiotherapy and consolidation therapy with durvalumab: a multicenter retrospective analysis (TOPGAN 2021-02).

PURPOSE: For patients with locally advanced non-small-cell lung cancer (LA-NSCLC) that progressed after definitive chemoradiotherapy (CRT) and durvalumab consolidation therapy, no subsequent standard treatment exists. The type of treatment selected for each timing of disease progression and its efficacy have not been investigated. METHODS: We retrospectively enrolled patients with LA-NSCLC or inoperable NSCLC that progressed after definitive CRT and durvalumab consolidation therapy at 15 Japanese institutions. Patients were classified into the following: Early Discontinuation group (disease progression within 6 months after durvalumab initiation), Late Discontinuation group (disease progression from 7 to 12 months after durvalumab initiation), and Accomplishment group (disease progression from 12 months after durvalumab initiation). RESULTS: Altogether, 127 patients were analyzed, including 50 (39.4%), 42 (33.1%) and 35 (27.5%) patients from the Early Discontinuation, Late Discontinuation, and Accomplishment groups, respectively. Subsequent treatments were Platinum plus immune checkpoint inhibitors (ICI) in 18 (14.2%), ICI in 7 (5.5%), Platinum in 59 (46.4%), Non-Platinum in 35 (27.6%), and tyrosine kinase inhibitor in 8 (6.3%) patients. In the Early Discontinuation, Late Discontinuation, and Accomplishment groups, 4 (8.0%), 7 (16.7%), and 7 (20.0%) patients were receiving Platinum plus ICI; 21 (42.0%), 22 (52.4%), and 16 (45.7%) were receiving Platinum, and 20 (40.0%), 8 (19.0%), and 7 (20.0%) were receiving Non-Platinum, respectively. No significant difference in progression-free survival was observed in the timing of disease progression. CONCLUSION: In patients with LA-NSCLC hat progressed after definitive CRT and durvalumab consolidation therapy, subsequent treatment may change depending on the timing of disease progression.