Fluctuations in serum lipid levels during neoadjuvant treatment as novel predictive and prognostic biomarkers for locally advanced breast cancer: a retrospective analysis based on a prospective cohort.

BACKGROUND: With increasing attention given to host-specific lipid metabolism status, it is of urgent need to identify lipid metabolism indices with predictive or prognostic value in locally advanced breast cancer patients treated with neoadjuvant chemotherapy (NAC), and to evaluate the performance improvement by incorporating them into the existing Neo-Bioscore staging system. METHODS: Patients from a prospectively maintained database of locally advanced breast cancer patients who received radical surgery after NAC between January 2014 to December 2020 were enrolled in this study. The enrolled patients were randomly divided into a training set and a test set at a ratio of 6:4. The random forest algorithm was applied to rank the importance of prognostic factors, top-ranked lipid metabolism indices of which were then incorporated into Neo-Bioscore to construct an updated prognostic model. The performances of these two models were compared in both training set and test set from multiple perspectives. Study outcomes included disease-free survival (DFS), relapse-free survival (RFS), distance-recurrence-free survival (DRFS), locoregional-recurrence-free survival (LRFS) and overall survival (OS). RESULTS: A total of 200 eligible patients were included in this study. After a median follow-up of 4.73 years, it was demonstrated that the relative increase in total cholesterol (TC; DFS: HR = 4.782, 95%CI 1.410 ~ 16.217, P = 0.012) and low-density lipoprotein (LDL; DFS: HR = 4.622, 95%CI 1.517 ~ 14.088, P = 0.007) during NAC led to poorer survival outcomes. Patients with either a higher body mass index (BMI) or elevated LDL during NAC had a worse prognosis (DFS: HR = 6.351, 95%CI 1.938 ~ 20.809, P = 0.002; OS, HR = 6.919, 95%CI 1.296 ~ 36.932, P = 0.024). Incorporating BMI and LDL fluctuations during NAC into Neo-Bioscore improved the prognostic stratification, especially in terms of LRFS (P = 0.046 vs. P = 0.65) and OS (P = 0.013 vs. P = 0.61). Multidimensional evaluation confirmed the improvement in model fit and clinical use for the updated model in both training set and test set. CONCLUSIONS: This is the first study to illustrate the relative elevation of LDL and TC levels during NAC as independent prognosticators for locally advanced breast cancer. This is also the first attempt to incorporate lipid metabolism indices into the original Neo-Bioscore staging system, which further improves the prognostic stratification of patients receiving NAC.

Evaluation of nocturnal apnea and airflow limitation as indicators for cognitive dysfunction in patients with chronic obstructive pulmonary disease/obstructive sleep apnea hypopnea syndrome overlap syndrome.

OBJECTIVE: The aim of this study is to investigate how much intermittent hypoxemia and airflow limitation contribute to cognitive impairment in overlap syndrome (OS), which is the coexistence of two common diseases, obstructive sleep apnea hypopnea syndrome (OSAHS) and chronic obstructive pulmonary disease (COPD). METHODS: We conducted a cross-sectional study of patients with OSAHS, COPD or OS, compared with normal controls, to determine the association between sleep apnea/pulmonary function-related indicators and cognitive dysfunction in individuals with OSAHS, COPD or OS. RESULTS: A total of 157 participants were recruited. Both OSAHS and OS presented lower adjusted Montreal cognitive assessment (MoCA) scores compared with COPD group. In addition, the MoCA score was significantly lower in COPD group compared with control group. The incidence of cognitive impairment was 57.4% in OSAHS group, and 78% in OS group, which were significantly higher than COPD group (29%) and control group (8.8%). Furthermore, a broader range of cognitive domains were affected in OS group compared with OSAHS group. Elevated levels of oxygen desaturation index (ODI) and/or apnea hypopnea index (AHI) were positively correlated with increased Epworth sleeping scale (ESS) in OSAHS and OS. Forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1) and peak expiratory flow (PEF) were positively correlated with cognitive scores in OSAHS but not in OS. Serum level of hypoxia-inducible factor-1α (HIF-1α) was significantly higher in OS. Logistic regression identified ODI as an independent risk factor for cognitive impairment in OS, while severity of snoring and PEF were independent risk factors in OSAHS. DISCUSSION: This study revealed significant cognitive impairment in OS, OSAHS and COPD. Sleep-related indicators are warranted in OS patients for detection, differentiation and grading of cognitive impairment, whereas pulmonary functions are warranted in OSAHS patients for detection and early intervention of cognitive impairment.

Selective Stereoretention of Carbohydrates upon C-C Cleavage Enabling D-Glyceric Acid Production with High Optical Purity over a Ag/γ-Al2O3 Catalyst.

Chiral carboxylic acid production from renewable biomass by chemocatalysis is vitally important for reducing our carbon footprint, but remains underdeveloped. We herein establish a strategy that make use of a stereogenic center of biomass to achieve a rare example of D-glyceric acid production with the highest yield (86.8 %) reported to date as well as an excellent ee value (>99 %). Unlike traditional asymmetric catalysis, chiral catalysts/additives are not required. Ample experiments combined with quantum chemical calculations established the origins of the stereogenic center and catalyst performance. The chirality at C4 in D-xylose was proved to be retained and successfully delivered to C2 in D-glyceric acid during C-C cleavage. The remarkable cooperative-roles of Ag+ and Ag0 in the constructed Ag/γ-Al2O3 catalyst are disclosed as the crucial contributors. Ag+ was responsible for low-temperature activation of D-xylose, while Ag0 facilitated the generation of active O* from O2. Ag+ and active O* cooperatively promoted the precise cleavage of the C2-C3 bond, and more importantly O* allowed the immediate fast oxidization of the D-glyceraldehyde intermediate to stabilize D-glyceric acid, thereby inhibiting the side reaction that induced racemization. This strategy makes a significant breakthrough in overcoming the limitation of poor enantioselectivity in current chemocatalytic conversion of biomass.

Neo-peripheral adaptive immune score predicts neoadjuvant chemotherapy for locally advanced breast cancer.

PURPOSE: Whether peripheral immune cell subsets can predict pathological complete response (pCR) in breast cancer patients remains to be elucidated. We aimed to dissect the relationship between peripheral immune cell subsets and pCR. METHODS: Two hundred and twenty-six eligible patients from two prospective clinical trials (SHPD001 and SHPD002) in China were randomly divided into a training cohort and a validation cohort. The breast cancer subtypes in this study included hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-negative (n = 95), HER2-positive (n = 100), and triple negative (n = 31) breast cancer. We defined the "Neo-Peripheral Adaptive Immune Score" for neoadjuvant chemotherapy (neoPAI Score) based on the percentages of CD4 + T cells, CD8 + T cells, B cells, and the CD4 + /CD8 + ratio in peripheral blood. We also evaluated the ability of the neoPAI Score derived from tumor-infiltrating immune cells (TIICs) to predict survival by employing The Cancer Genome Atlas-Breast Cancer (TCGA-BRCA) database. RESULTS: In the training cohort, multivariate analysis showed that HR status [odds ratio (OR) 0.325; 95% confidence interval (CI) 0.135-0.761; P = 0.010], HER2 status (OR 2.657; 95% CI 1.266-5.730; P = 0.011), Ki67 index (OR 3.191; 95% CI 1.509-6.956; P = 0.003), histological grade (OR 2.297; 95% CI 1.031-5.290; P = 0.045) and neoPAI Score (OR 4.451; 95% CI 1.608-13.068; P = 0.005) were independent predictors of pCR. In the validation cohort, histological grade (OR 3.779; 95% CI 3.793-1.136 × 103; P = 0.008) and neoPAI Score (OR 90.828; 95% CI 3.827-9.843 × 103; P = 0.019) were independent predictors of pCR. The Immune Model that integrated the neoPAI Score was more accurate in predicting pCR than the Clinical Model that exclusively contained clinicopathological parameters in both cohorts. In TCGA-BRCA database, the neoPAI Score constructed from TIICs can predict the progression-free interval (P = 0.048) of breast cancer. CONCLUSION: The neoPAI Score defined by the percentages of peripheral immune cell subsets could be used as a potential biomarker for neoadjuvant chemotherapy efficacy.

Efficacy and safety of pyrotinib in advanced lung adenocarcinoma with HER2 mutations: a multicenter, single-arm, phase II trial.

BACKGROUND: There is currently a lack of effective treatments for non-small cell lung cancer (NSCLC) patients harboring HER2 mutations. We examined the efficacy and safety of, and potential resistance mechanism to, pyrotinib, a pan-HER inhibitor, in advanced NSCLC carrying HER2 mutations. METHODS: In this multicenter, single-arm, phase II trial, stage IIIB-IV NSCLC patients harboring HER2 mutations, as determined using next-generation sequencing, were enrolled and treated with pyrotinib at a dose of 400 mg/day. The primary endpoint was 6-month progression-free survival (PFS) rate, and secondary endpoints were objective response rate (ORR), PFS, overall survival (OS), disease control rate (DCR), and safety. The impact of different HER2 mutation types on sensitivity to pyrotinib and the potential of utilizing mutational profile derived from circulating tumor DNA (ctDNA) to predict disease progression were also explored. RESULTS: Seventy-eight patients were enrolled for efficacy and safety analysis. The 6-month PFS rate was 49.5% (95% confidence interval [CI], 39.2-60.8). Pyrotinib produced an ORR of 19.2% (95% CI, 11.2-30.0), with median PFS of 5.6 months (95% CI, 2.8-8.4), and median OS of 10.5 months (95% CI, 8.7-12.3). The median duration of response was 9.9 months (95% CI, 6.2-13.6). All treatment-related adverse events (TRAEs) were grade 1-3 (all, 91.0%; grade 3, 20.5%), and the most common TRAE was diarrhea (all, 85.9%; grade 3, 16.7%). Patients with exon 20 and non-exon 20 HER2 mutations had ORRs of 17.7% and 25.0%, respectively. Brain metastases at baseline and prior exposure to afatinib were not associated with ORR, PFS, or OS. Loss of HER2 mutations and appearance of amplification in HER2 and EGFR were detected upon disease progression. CONCLUSIONS: Pyrotinib exhibited promising efficacy and acceptable safety in NSCLC patients carrying exon 20 and non-exon 20 HER2 mutations and is worth further investigation. TRIAL REGISTRATION: Chinese Clinical Trial Registry Identifier: ChiCTR1800020262.

Silencing oncogene cell division cycle associated 5 induces apoptosis and G1 phase arrest of non-small cell lung cancer cells via p53-p21 signaling pathway.

BACKGROUNDS: As a regulator of cell cycle, cell division cycle-associated 5 (CDCA5) is involved in the progression of various malignant tumors. However, the potential relationship between CDCA5 and lung cancer has not been reported. METHODS: In our study, we analyzed the expression of CDCA5 in a variety of malignant tumors, performed Kaplan-Meier survival analysis of lung adenocarcinoma (LUAD), explored the potential relationship between CDCA5 expression and clinicopathological characteristics, assessed the predictive capability of at different stages of clinicopathological characteristics, revealed the enriched functions and signaling pathways among LUAD paitents with high CDCA5 expression, and investigated the correlation between PD-1, PD-L1, and CDCA5 through bioinformatics analyses. Subsequently, we performed quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) and western blotting (WB) to demonstrate that CDCA5 mediates the p53-p21 pathway and regulates the cell cycle. RESULT: CDCA5 is probably involved in the occurrence and development of NSCLC, and function as a reliable biomarker for predicting the survival outcomes of patients with early stage of patients with LUAD. Furthermore, CDCA5 may be a promising indicator of immunotherapy efficacy. In addition, silencing the expression of CDCA5 significantly increased the proportion of apoptotic NSCLC cells, and caused NSCLC cells to be arrested in the G1 phase. CONSLUSION: In conclusion, CDCA5 regulated the cell cycle of NSCLC cells by mediating the p53-p21 signaling pathway, participating in the development and progression of NSCLC patients.

Ultrasound-Guided Breast Biopsy: Improved Accuracy of 10-G Cable-Free Elite Compared With 14-G CCNB.

BACKGROUND: Imaging-guided breast biopsy is crucial for breast lesion evaluation. We aim to make the first comprehensive comparison of two different ultrasound-guided breast biopsy devices: 14-G conventional core needle biopsy (CCNB) and the newly applied cable-free, low-vacuum-assisted 10-G breast biopsy system, Elite. METHODS: We retrospectively collected patients with suspected breast cancer who underwent ultrasound-guided 14-G CCNB or 10-G Elite from October 2013 through March 2018 and compared the biopsy result with the result after operation. We analyzed the test performance of the two methods and their accuracy in immunohistochemistry assays mainly including estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and Ki67. We also analyzed the accuracy of 10-G Elite with frozen sections. RESULTS: Six hundred seventy-four patients who underwent 14-G CCNB and 592 patients who underwent 10-G Elite were finally included in the research. Negative predictive value with Elite was higher than with CCNB (Elite 86.5%, CCNB 41.7%, P < 0.001). Sensitivity (Elite 97.7%, CCNB 96.2%, P = 0.1), specificity (Elite 98.7%, CCNB 90.0%, P = 0.1), positive predictive value (Elite 99.8%, CCNB 99.7%, P = 0.7), and false negative rate (Elite 2.3%, CCNB 3.8%, P = 0.1) showed no difference between two devices. In terms of immunohistochemistry assay, Ki67 agreement of Elite was higher than that of CCNB (Elite 79.5%, CCNB 73.4%, P = 0.045). Estrogen receptor agreement (Elite 90.6%, CCNB 87.7%, P = 0.2), progesterone receptor agreement (Elite 83.9%, CCNB 80.9%, P = 0.3), and human epidermal growth factor receptor two agreement (Elite 94.2%, CCNB 93.5%, P = 0.7) showed no difference between Elite and CCNB. The rate of an inconclusive biopsy result was lower with Elite than with CCNB (Elite 1.5%, CCNB 3.3%, P = 0.045). CONCLUSIONS: 10-G Elite has higher negative predictive value, higher Ki67 agreement, and lower inconclusive results than 14-G CCNB. Elite can be a reliable substitute for 14-G CCNB.

Predictive and prognostic value of ZEB1 protein expression in breast cancer patients with neoadjuvant chemotherapy.

BACKGROUND: Zinc finger E-box binding homeobox 1 (ZEB1) is a molecule involved in the progression of epithelial-to-mesenchymal transition (EMT) in various kinds of cancers. Here, we aimed to determine whether the expression of the ZEB1 protein is related to the response of patients to neoadjuvant therapy as well as their survival outcome. METHODS: Immunohistochemistry (IHC) was performed on paraffin-embedded tumor samples from core needle biopsy before neoadjuvant therapy (NAT). Univariate and multivariate logistic regression analyses were used to analyze the associations between the protein expression of ZEB1 and the pathological complete response (pCR) outcome. Kaplan-Meier plots and log-rank tests were used to compare disease-free survival (DFS) between groups. A Cox proportional hazards model was used to calculate the adjusted hazard ratio (HR) with a 95% confidential interval (95% CI). RESULTS: A total of 75 patients were included in the IHC test. High ZEB1 protein expression was associated with a low pCR rate in both univariate (OR = 0.260, 95% CI 0.082-0.829, p = 0.023) and multivariate (OR = 0.074, 95% CI 0.011-0.475, p = 0.006) logistic regression analyses. High ZEB1 protein expression was also associated with a short DFS according to both the log-rank test (p = 0.023) and Cox proportional hazard model (HR = 9.025, 95% CI 1.024-79.519, p = 0.048). In hormone receptor positive (HorR-positive) patients, high ZEB1 protein expression was also associated with a lower pCR (OR = 0.054, 95% CI 0.007-0.422, p = 0.005) and a poorer DFS (HR = 10.516, 95% CI 1.171-94.435, p = 0.036) compared with low ZEB1 protein expression. In HER2-overexpressing patients, ZEB1 protein expression was also associated with poor survival (p = 0.042). CONCLUSIONS: Our results showed that high ZEB1 protein expression was a negative predictive marker of pCR and DFS in neoadjuvant therapy in breast cancer patients and in HorR-positive and HER2-overexpressing subgroups.Trial registration NCT, NCT02199418. Registered 24 July 2014-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT02199418?term=NCT02199418&rank=1. NCT, NCT 02221999. Registered 21 August 2014-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT02221999?term=NCT02221999&rank=1.

ROS1-ADGRG6: a case report of a novel ROS1 oncogenic fusion variant in lung adenocarcinoma and the response to crizotinib.

BACKGROUND: ROS1 rearrangements are validated drivers in lung cancer, which have been identified in a small subset (1-2%) of patients with non-small cell lung cancer (NSCLC). To date, 18 fusion genes of ROS1 have been identified in NSCLC. The ALK inhibitor (crizotinib) exhibits therapeutic effect against ROS1-rearranged NSCLC. Next-generation sequencing (NGS) technology represents a novel tool for ROS1 detection that covers many fusion genes. CASE PRESENTATION: A 55-year-old female with EGFR mutation (L858R) was diagnosed with lung adenocarcinoma, who was responsive to first-generation EGFR-tyrosine kinase inhibitor (TKI). Afterwards, she developed acquired resistance accompanied with a ROS1 rearrangement. A NGS assay showed that the tumor had a novel ROS1-ADGRG6 rearrangement generated by the fusion of exons of 1-33 of ROS1 on chr6: q22.1 to exons of 2-26 of ADGRG6 on chr6: q24.2. The patient was obviously responsive to crizotinib. CONCLUSION: We firstly identified ROS1-ADGRG6 fusion variant in NSCLC by NGS, which should be considered in further ROS1 detecting assays.

Association of LncRNA MEG3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer.

BACKGROUND: Breast cancer is the most common malignancy in women, and neoadjuvant chemotherapy has been recommended to the patients with locally advanced breast cancer as the initial treatments. Long non-coding RNA (lncRNA) MEG3, an identified tumor suppressor, has been implicated in the development of various cancers. However, there is no data to evaluate the effect of MEG3 polymorphisms on neoadjuvant treatment in the breast cancer. METHODS: Genotyping was performed using Nanodispenser Spectro CHIP chip spotting and Mass ARRAY Compact System. Univariate and multivariate logistic regression analyses were used to analyze the associations between the MEG3 polymorphisms and the pathological complete response (pCR). The disease-free survival (DFS) was estimated by the Kaplan-Meier method, and multivariate Cox proportional hazards models were used to calculate the hazard ratios (HRs) with a 95% confidential interval (CI). RESULTS: A total of 144 patients with available pretreatment blood species were enrolled in the SHPD002 clinic trial of neoadjuvant chemotherapy for breast cancer. MEG3 rs10132552 were significantly associated with good response (Adjusted OR = 2.79, 95% CI 1.096-7.103, p = 0.031) in dominant model. Median follow-up time was 20 months. In multiple regression analysis, rs10132552 TC + CC (adjusted HR = 0.127, 95% CI 0.22-0.728, p = 0.02) and rs941576 AG + GG (adjusted HR = 0.183, 95% CI 0.041-0.807, p = 0.025) were significantly associated with good DFS. MEG3 rs7158663 (OR = 0.377, 95% CI 0.155-0.917, p = 0.032) were associated with a low risk of hemoglobin decrease in dominant models. CONCLUSIONS: LncRNA MEG3 polymorphisms were associated with the chemotherapy response and toxicity of paclitaxel and cisplatin. The result indicates that MEG3 polymorphisms can be considered as the predictive and prognostic markers for the breast cancer patients. TRIAL REGISTRATION: Retrospectively registered (ClinicalTrials. Gov identifier: NCT02221999 ); date of registration: Aug 20th, 2014.

Consultation and treatment behaviour of infertile couples in China: a population-based study.

RESEARCH QUESTION: The prevalence of infertility in couples actively trying to conceive is 25%. What is the consultation-seeking behaviour, diagnosis and related treatment in infertile couples across China? DESIGN: Large cross-sectional population-based study in 2010-2011, in which 25,270 couples from eight provinces/municipalities in China were approached by a multistage stratified cluster sampling strategy. RESULTS: Among the 2680 couples reporting infertility, 1246 infertile couples consulted a fertility doctor. Age of the couple, man's body mass index and women's educational level were found to be associated with consultation behaviour. After the fertility work-up, diagnoses were tubal infertility (n = 353, 28.3%), unexplained infertility (n = 311, 25.0%), male infertility (n = 234, 18.8%), ovulatory disorder (n = 194, 15.6%) and endometriosis (n = 34, 2.7%), while 8.6% (n = 107) were not classified. Most couples received non-assisted reproductive technology (ART) fertility treatment (n = 906, 89.3%), with a proportion using traditional Chinese medicine (TCM) (n = 298, 29.4%). Intrauterine insemination (n = 62, 6.1%) and IVF/intracytoplasmic sperm injection (n = 57, 5.6%) were less frequent. Medical treatment and outcomes among five subtypes of infertility were also reported: about 30% of couples with unexplained infertility (n = 94, 30.3%) or male infertility (n = 67, 29.0%) used TCM to treat infertility. Apart from patients with endometriosis, of whom 20.6% (n = 7) received ART, patients with other infertility subtypes rarely received ART. For subsequent fertility outcome, 94% of them did not achieve a pregnancy. CONCLUSION: The prevalence of infertility in China is high, but the uptake of treatment is relatively low.

Establishing a reentry procedure for human immunodeficiency virus screening-reactive donors in China.

BACKGROUND: Screening of blood donors for antibody to human immunodeficiency virus Types 1 and 2 (anti-HIV-1/2) and/or HIV nucleic acid test (NAT) is a well-established venue to prevent HIV transfusion-transmitted disease. However, with the current available technologies, HIV testing may result in donor loss due to false-positive results. This study intended to establish a donor reentry procedure for HIV screening-reactive donors in China. STUDY DESIGN AND METHODS: From September 1, 2013, to August 31, 2014, a total of 465 donors from 14 Chinese blood centers were enrolled in this study. Enrollment criteria include all donors who were screened reactive or belonged to the "gray zone" by enzyme-linked immunosorbent assay and/or reactive by NAT when tested at the local blood centers. All donor samples were sent to a central HIV confirmation laboratory where anti-HIV-1/2 and HIV individual-donation NATs were conducted. If the results were reactive for anti-HIV-1/2, then the samples were tested with a recombinant immunoblot assay. RESULTS: Based on the repeat testing at the central HIV confirmation laboratory 8 or 16 weeks after the study, 252 donors of 465 (54.2%) who completed the study could be classified in two categories for HIV status: 45 (18%) true positive and 207 (82%) false positive. A total of 213 of 465 (45.8%) donors were lost on follow-up and, thus, their HIV status cannot be determined with certainty. Based on these data, a donor reentry procedure was proposed. CONCLUSION: Based on our proposed donor reentry procedure for HIV screening-reactive donors, a majority of screening-positive donors (82%, 207/252) can be reentered safely.

Optimization of the convolutional neural network classification model under the background of innovative art teaching models.

To improve students' ability to recognize and appreciate artworks, and further enhance their academic performance and classroom satisfaction, this study explores the application of the Convolutional Neural Network (CNN) model based on optimization in art teaching. Firstly, the importance and challenges of art teaching are analyzed. Secondly, the principle and structure of CNN and its application in the classification field are expounded, and then the CNN classification model is optimized. Finally, the effectiveness of the optimized model is verified by experiments. Experimental results show that the optimized model's accuracy is up to 95.2% in the performance evaluation. The training time of the optimized model is much lower than that of the traditional model, and this model still maintains 95.2% accuracy under the noise of 14.7%. In addition, the accuracy of the optimized model on the unseen test data is 92%. In comparing teaching experiment results, by introducing the CNN classification model, Class B students' average score of art homework has increased by 4.3 points. The score for class satisfaction is 8.1 points. This indicates that the optimized CNN model has significant advantages in art teaching and can effectively improve students' classroom satisfaction and academic performance. Therefore, this study has specific reference significance for the innovation of the art teaching model.

Genome characteristics of a MDR Pseudomonas monteilii carrying a novel VIM-type ß-lactamase, blaVIM-84.

OBJECTIVES: This study aimed to determine the genetic environment and characterize plasmid carrying a novel VIM-type ß-lactamase (VIM-84) in a multidrug-resistant Pseudomonas monteilii isolate obtained from the human gut through whole-genome sequencing. METHODS: DNA extraction of P. monteilii L2757hy was performed using the Genomic DNA Isolation Kit (QIAGEN, Hilden, Germany). Whole-genome sequencing was performed by Illumina NovaSeq 6000 and Oxford Nanopore platforms. The transferability of resistance genes was screened single clonal on MHA plates containing rifampicin and meropenem. Verification was performed using MALDI/TOF-MS and PCR with Pseudomonas aeruginosa PAO1Ri as the recipient strain. RESULTS: L2757hy was identified as P. monteilii through sequencing and ANI analysis. The genome was assigned as ST147 and comprised a 6,130,057 bp chromosome with a GC content of 61.8% and a 49,704 bp plasmid. Several resistance genes, including blaIMP-1, aac(6')-IIa and tmexCD-toprJ, as well as virulence genes such as iroN, and wzaJ, were identified on the chromosome. A novel VIM-type blaVIM-84 was found on the plasmid, which was previously identified in Pseudomonas aeruginosa. Plasmid harboring blaVIM-84 was untypable, and it could be transferred to P. aeruginosa PAO1Ri and was associated with a class I integron with the genetic environment intI1-blaVIM-84-tniR-tniQ-tniB-tniA, likely derived from Tn402. CONCLUSIONS: Our study revealed that the novel blaVIM-84 gene was harbored by P. monteilii rather than P. aeruginosa. We suggested that P. monteilii may serve as a reservoir for resistance genes.

Construction and validation of a prognostic signature based on anoikis-related lncRNAs in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most common type of lung cancer and is characterized by a high death rate and a poor prospect for survival. Anoikis, which is a kind of programmed cell apoptosis, is an important factor in the advancement of tumors. Nonetheless, the function of anoikis-related lncRNAs (ARLRs) in LUAD is still not well understood. The TCGA database was queried for genomic and clinical information. A prognostic signature for ARLRs was established via the use of coexpression analysis and Cox regression. Validation of the model's accuracy was conducted utilizing K-M curves and receiver operating characteristic (ROC) curves, and the signature was utilized to develop a nomogram. LncRNAs were implicated in the progression of tumors, as determined by functional enrichment analysis. There was an improvement in prognosis, increased immune cell infiltration, and higher immune scores among the low-risk patients. Additionally, we found that the two groups had varied anticancer drug sensitivities, which could help guide treatment. The impact of one ARLR, AC026355.2, on migration and invasion was validated by in vitro experiments in LUAD cells. Herein, a new lncRNA signature associated with anoikis was identified and estimated, potentially serving as a prognostic indicator for LUAD patients.

Stable or at least once HER2-low status during neoadjuvant chemotherapy confers survival benefit in patients with breast cancer.

BACKGROUND: Temporal heterogeneity in human epidermal growth factor receptor 2 (HER2) status may be associated with the prognosis of breast cancer. We aimed to clarify the relationship of HER2-low transition during neoadjuvant therapy with survival outcomes under the new classification of HER2 status. METHODS: This retrospective study was conducted based on the prospective database of breast cancer patients treated with neoadjuvant therapy from September 2013 to August 2020. RESULTS: This analysis enrolled 185 patients, including 44 patients with HER2-zero tumours, 93 patients with HER2-low tumours and 48 patients with HER2-positive tumours after neoadjuvant therapy. Nearly, 57.6% of HER2-zero tumours turned into HER2-low tumours after neoadjuvant therapy, while 25.0% of HER2-low patients changed to HER2-zero or HER2-positive tumours. We found that at least once diagnosis as HER2-low breast cancer was related to hormone receptor status (p < .001) and Ki-67 expression (p = .036). Patients ever diagnosed as HER2-low tumours had favourable clinicopathological features (less Ki-67 expression, lower pathological staging, etc.) as well as significantly better locoregional relapse-free survival (LRFS; p = .007) and overall survival (OS; p = .026) compared with those never exhibiting HER2-low expression. Furthermore, the 6-year OS rates were 94.2% (95% confidence interval (CI) 83.1-98.1), 88.7% (74.4-95.2) and 78.1% (65.4-86.6) for patients with stable, once and none HER2-low expression, respectively (adjusted HR, 0.514 [95%CI, 0.294-0.897], p = .019). CONCLUSIONS: Our study first indicated in patients across all expression levels of HER2 that stable or at least once HER2-low status may confer favourable attributes including less malignant biological behaviour and long-term survival benefit for breast cancer receiving neoadjuvant therapy.

Stable or at least once HER2-low status may confer favourable attributes including less malignant biological behaviour and long-term survival benefit for breast cancer receiving neoadjuvant therapy.HER2-low expression was highly instable during disease evolution from primary lesion to residual tumour and was associated with hormone receptor status, which warrants HER2 re-test in residual lesion, especially for patients with HER2-zero disease at initial diagnosis, so as to give a clear picture of not only prognostic significance but also treatment availability.

Serum lipid ratios as novel prognostic biomarkers for patients with locally advanced breast cancer treated with neoadjuvant therapy.

OBJECTIVES: To investigate the association between lipid ratios and survival outcomes in patients with locally advanced breast cancer (LABC) undergoing neoadjuvant chemotherapy. METHOD: This retrospective study included patients with LABC receiving neoadjuvant chemotherapy. Serum lipid levels were prospectively measured at baseline. Associations of triglyceride to total cholesterol (TG/TC), triglyceride to high-density lipoprotein (TG/HDL) and triglyceride to low-density lipoprotein (TG/LDL) ratios with prognosis were evaluated. RESULTS: Patients with high TG/TC (adjusted hazard ratio [aHR] = 2.47, 95% CI: 1.10, 5.56, p = 0.029), TG/HDL (aHR = 2.73, 95% CI: 1.16, 6.41, p = 0.021) and TG/LDL (aHR = 2.50, 95% CI: 1.11, 5.65, p = 0.027) ratios were more likely to experience disease-free survival (DFS) events. Subgroup analysis suggested that the prognostic impact of lipid ratios was more pronounced in patients with negative HER2 status or those at a high risk of recurrence (e.g. clinical stage III, Ki67 > 30%). Additionally, higher lipid ratios tended to indicate early DFS events (0 ~ 2 years) (TG/TC p = 0.021, TG/HDL p = 0.046, TG/LDL p < 0.001), and the TG/LDL ratio demonstrated the best predictive efficacy (TG/TC vs. TG/HDL vs. TG/LDL, 1-year AUC: 0.724 vs. 0.676 vs. 0.846, 2-year AUC: 0.653 vs. 0.638 vs. 0.708). CONCLUSION: Baseline serum TG/TC, TG/HDL and TG/LDL ratios were independent prognostic factors in patients with LABC undergoing neoadjuvant therapy. However, their utility in predicting the early DFS events warrants further investigation. CLINICAL TRIAL REGISTRATION: NCT05621564.

Value of CDR1-AS as a predictive and prognostic biomarker for patients with breast cancer receiving neoadjuvant chemotherapy in a prospective Chinese cohort.

BACKGROUND: Neoadjuvant chemotherapy (NAC) is an effective treatment for locally advanced breast cancer (BC). However, there are no effective biomarkers for evaluating its efficacy. CDR1-AS, well known for its important role in tumorigenesis, is a famous circular RNA involved in the chemosensitivity of cancers other than BC. However, the predictive role of CDR1-AS in the efficacy and prognosis of NAC for BC has not been fully elucidated. We herein aimed to clarify this role. METHODS: The present study included patients treated with paclitaxel-cisplatin-based NAC. The expression of CDR1-AS was detected by real-time quantitative reverse transcription polymerase chain reaction testing. The predictive value of CDR1-AS expression was examined in pathological complete response (pCR) after NAC using logistic regression analysis. The relationship between CDR1-AS expression and survival was demonstrated using the Kaplan-Meier method, and tested by log-rank test and Cox proportional hazards regression model. RESULTS: The present study enrolled 106 patients with BC. Multivariate logistic regression analysis revealed that CDR1-AS expression was an independent predictive factor for pCR (odds ratio [OR] = 0.244; 95% confidence interval [CI] 0.081-0.732; p = 0.012). Furthermore, pCR benefits with low CDR1-AS expression were observed across all subgroups. The Kaplan-Meier curves and log-rank test suggested that the CDR1-AS high-expression group showed significantly better disease-free survival (DFS; log-rank p = 0.022) and relapse-free survival (RFS; log-rank p = 0.012) than the CDR1-AS low-expression group. Multivariate analysis revealed that CDR1-AS expression was an independent prognostic factor for DFS (adjusted HR = 0.177; 95% CI 0.034-0.928, p = 0.041), RFS (adjusted HR = 0.061; 95% CI 0.006-0.643, p = 0.020), and distant disease-free survival (adjusted HR = 0.061; 95% CI 0.006-0.972, p = 0.047). CONCLUSIONS: CDR1-AS may be a potential novel predictive biomarker of pCR and survival benefit in patients with locally advanced BC receiving NAC. This may help identify specific chemosensitive individuals and build personalized treatment strategies.

Lysosome-related genes: A new prognostic marker for lung adenocarcinoma.

Currently, a reliable early prognostic marker has not been identified for lung adenocarcinoma (LUAD), the most common malignancy. Recent studies demonstrated that lysosomal rupture is involved in cancer migration, progression, and immune microenvironment formation. We performed a bioinformatics analysis of lysosomal rupture to investigate whether lysosome-related genes (LRGs) are key in LUAD. The analysis identified 23 LRGs. Cytoscape visualization identified 10 core genes (CCNA2, DLGAP5, BUB1B, KIF2C, PBK, CDC20, NCAPG, ASPM, KIF4A, ANLN). With the 23 LRGs, we established a new risk scoring rule to classify patients with LUAD into high- and low-risk groups and verified the accuracy of the risk score by receiver operating characteristic curves and established a nomogram to evaluate clinical patients. Immunotherapy effectiveness between the high- and low-risk groups was evaluated based on the tumor mutational burden and analyses of immune cell infiltration and drug sensitivity. Pathway enrichment analysis revealed that lysosomes were closely associated with glucose metabolism, amino acid metabolism, and the immune response in patients with LUAD. Lysosomes are a likely new therapeutic target and provide new directions and ideas for treating and managing patients with LUAD.

Genetic polymorphisms of GGT1 gene (rs8135987, rs5751901 and rs2017869) are associated with neoadjuvant chemotherapy efficacy and toxicities in breast cancer patients.

BACKGROUND: Our previous study illustrated the predictive value of serum gamma-glutamyl transpeptidase (GGT) for neoadjuvant chemotherapy (NAC) sensitivity in breast cancer patients. In this study we aim to determine whether single nucleotide polymorphisms (SNPs) in the gamma-glutamyltransferase 1 (GGT1) gene are related to the NAC response and adverse events and to find out a genetic marker in predicting NAC sensitivity. METHODS: Three SNP loci (rs8135987, rs5751901, rs2017869) of GGT1 gene were selected and tested among breast cancer patients reciving NAC. Four genotype models were used in SNP analysis: co-dominant model compared AA vs. Aa vs. aa; dominant model compared AA vs. Aa + aa; recessive model compared AA + Aa vs. aa; over-dominant model compared AA + aa vs. Aa. Chi-squared test and multivariable logistic regression analysis were performed between SNP genotypes, haplotypes and pathological complete response(pCR), adverse events as well as serum GGT level. RESULTS: A total of 143 patients were included in the study. For SNP rs8135987 (T > C), the TC genotype in over-dominant model was inversely related with pCR (adjusted OR = 0.30, 95% CI 0.10-0.88, p = 0.029) as well as the risk of peripheral neuropathy (adjusted OR = 0.39, 95% CI 0.15-0.96, p = 0.042). The TC genotype in dominant model was significantly associated with elevated serum GGT level (OR = 3.11, 95% CI 1.07-9.02, p = 0.036). For rs2017869 (G > C), the occurrence of grade 2 or greater neutropenia (OR = 0.39, 95% CI 0.08-0.84, p = 0.025) and leukopenia (OR = 0.24, 95% CI 0.08-0.78, p = 0.017) were both significantly reduced in patients with CC genotypes. For rs5751901(T > C), the CC genotype could significantly reduce the risk of grade 2 or greater neutropenia (OR = 0.29, 95% CI 0.09-0.96, p = 0.036) and leukopenia (OR = 0.27, 95% CI 0.09-0.84, p = 0.024) in recessive model. CONCLUSIONS: The GGT1 gene SNPs might be an independent risk factor for poor response of NAC in breast cancer patients, providng theoretical basis for further precision therapy.