Survival Outcomes In Patients Research Articles

ZNF8 promotes progression of gastrointestinal cancers via a p53-dependent mechanism

p53 is a critical tumor suppressor, and the disruption of its normal function is often a prerequisite for the development or progression of tumors. Our previous works revealed that multiple members of Krüppel-associated box (KRAB) domain zinc-finger proteins (KZFPs) family regulate p53 transcriptional activity by interacting with it. But the tumor biology functions of these members have not been fully elucidated. Here, the pan-cancer analysis related to gastrointestinal cancers (GICs) revealed that ZNF8, a p53-interacting protein, is an unfavorable prognostic factor for patients with malignancies. ZNF8 interacts with p53 and further depresses its transcriptional activity in colon cancer cells. The knockdown of ZNF8 or the overexpression of ZNF8 inhibits or facilitates the in vitro colony formation, migration, invasion, and angiogenesis of p53+/+ colon cancer HCT116 cells, HepG2 cells and EC109 cells rather than p53−/− colon cancer HCT116 cells and p53-knockout HepG2 cells, respectively. Xenograft experiments conducted in vivo also showed that the knockdown of ZNF8 in p53+/+ but not in p53−/− HCT116 cells curbs the tumor growth and metastasis to lung, leading to an extended life span for tumor-bearing mice. Clinically, two independent immunohistochemistry cohorts of colon cancer and esophageal cancer also indicated that ZNF8 is higher expression in carcinoma tissues than adjacent tissues and this is associated with worse overall survival outcomes in patients without harboring p53 mutation. Together, our results provide insight into the p53-specific tumor oncogenic function of ZNF8. ZNF8 may prove to be a potential target for GICs treatment.

MiRNA Profiles in Patients with Hematological Malignancy at Different Stages of the Disease: A Preliminary Study.

The dysregulation of miRNA expression has been shown to impact cellular physiology and tumorigenesis. Studies have reported several miRNA regulatory elements and pathways that play a significant role in the diagnosis, prognosis, and treatment of hematological malignancies. This is the first study to test the differential expression of miRNAs at crucial stages of the disease, specifically newly diagnosed, resistant to treatment, and remission. Circulating miRNAs extracted from the blood samples of 18 patients diagnosed with leukemia or lymphoma at different stages and 2 healthy controls were quantified by qPCR using a panel of 96 tumorigenic miRNAs. An enrichment analysis was performed to understand the mechanisms through which differential miRNA expression affects cellular and molecular functions. Significant upregulation of hsa-miR-1, hsa-miR-20a-5p, hsa-miR-23a-3p, hsa-miR-92b3p, and hsa-miR-196a-5p was detected among the different stages of leukemia and lymphoma. mir-1 and mir-196a-5p were upregulated in the remission stage of leukemia, while mir-20a-5p, mir-23a-3p, and mir-92b-3p were upregulated during the resistant stage of lymphoma. The enrichment analysis revealed these miRNAs' involvement in the RAS signaling pathway, TGF-β signaling, and apoptotic pathways, among others. This study highlights new biomarkers that could be used as potential targets for disease diagnosis, prognosis, and treatment, therefore enhancing personalized treatments and survival outcomes for patients.

Patient characteristics and treatment patterns of patients with locally advanced or metastatic HER2-low breast cancer, a single site descriptive study.

To evaluate the prevalence and characteristics of different HER2 categories among patients with advanced breast cancer (aBC) and describe treatment patterns and outcomes of those with HER2-low disease. A retrospective cohort study was conducted via chart review at the Huntsman Cancer Institute, including patients diagnosed with aBC (stages IIIB, IIIC and IV) between 2010 and 2019. All patients with IHC1+ were considered HER2-low unless FISH was positive. Patients with IHC2+ were only classified as HER2-low if a negative FISH was documented. The prevalence and characteristics of each HER2 category were reported. Treatment patterns and survival outcomes of HER2-low patients who received first line treatment in 2017 or later were presented. A total of 240 of 414 patients (58%) with aBC were HER2-low, with the majority of patients (83%) classified as hormone receptor (HR)-positive. In first line, most HR-positive patients received endocrine therapy with chemotherapy for stage IIIB/IIIC (47%) and with CDK4/6 inhibitors for stage IV breast cancer (50%) Most HR-negative patients received chemotherapy alone (92% for stage IIIB/IIIC, 60% for stage IV). In second line, chemotherapy alone was the most common modality (21.4% for HR-positive; 45.5% for HR-negative). Median overall survival was 37.7 months while median progression-free survival from first line was 18.0 months, decreasing to 8.0 months in second line. A substantial proportion of patients previously classified as HER2-negative have low but detectable HER2 expression and may benefit from novel HER2-directed agents, which have demonstrated clinical benefit in this population post-chemotherapy.

Exposure and outcomes of aortic valve change in patients initiating dialysis.

Aortic stenosis (AS) and aortic valve calcification (AVC) are occasionally observed in patients receiving maintenance dialysis. However, their prevalence and factors associated with them in patients undergoing dialysis remain unknown. We aimed to elucidate the aortic valve status at the time of dialysis initiation and patient prognosis based on aortic valve status. We analyzed 289 patients initiating dialysis (hemodialysis: peritoneal dialysis = 275:14) between 2016 and 2023. "AS and/or AVC" was detected using echocardiography. AS was defined as a maximum transaortic velocity > 2.0m/s. Statistical analyses including multivariable logistic regression and Cox regression were used to assess the association between patient characteristics and survival outcomes. Aortic valve changes were observed in 121 (42%) patients, among which 33 (11%) met the AS criteria. The mean age of patients in the AS, AVC without AS, and control groups was 79.1 ± 8.9, 75.9 ± 9.2, and 68.3 ± 12.9, respectively (P < 0.001). Multivariable logistic regression models showed that only age was associated with aortic valve changes (P < 0.001). Age and other important factor-adjusted multivariable Cox regression models showed that AS was an independent risk factor for death after dialysis initiation (hazard ratio (HR): 1.95, 95% confidence interval (CI): 1.06 - 3.59, P = 0.04). However, aortic valve changes ("AS and/or AVC") were not a risk factor for death (HR: 1.51, 95% CI 0.95 - 2.39, P = 0.08). With the growing older population undergoing dialysis, aortic valve changes should be closely monitored. Particularly, AS is crucial because of its impact on patient prognosis.

Decitabine consolidation after CD19/CD22 CAR-T therapy as a novel maintenance treatment significantly improves survival outcomes in relapsed/refractory B-ALL patients

ObjectiveWe aimed to evaluate the efficacy of decitabine consolidation after treatment with CD19/CD22 chimeric antigen receptor T-cell (CAR-T) for patients with relapsed/refractory B-cell acute lymphoblastic leukaemia (r/r B-ALL). MethodsWe retrospectively analysed 48 patients with r/r B-ALL who received CD19/CD22 CAR-T therapy between September 2017 and May 2021. Sixteen patients received decitabine consolidation (20 mg/m2/day for 5 days at 3-month intervals) after CAR-T therapy (DAC group), while 32 patients did not receive decitabine consolidation (CON group). Overall survival (OS), leukaemia-free survival (LFS), and cumulative incidence of relapse (CIR) were evaluated in both groups. Time-to-event analysis was performed using the Kaplan-Meier method. ResultsThe median follow-up periods in the DAC and CON groups were 41.2 months and 28.6 months, respectively. The 4-year OS and 4-year LFS rates in both groups were 93.3 % and 64.3 % (P=0.029) and 87.5 % and 55.9 % (P=0.059), respectively. The 1-year CIR was 6.25 % and 28.6 %, respectively. Univariate and multivariate Cox regression analyses showed that decitabine consolidation after CAR-T therapy was significantly associated with superior OS (hazard ratio [HR]: 0.121, 95 % confidence interval [CI]: 0.015–0.947, P=0.044), and bridging to haematopoietic stem cell transplantation after CAR-T therapy was significantly associated with superior LFS (HR: 0.279, 95 %CI: 0.093–0.840, P=0.023). ConclusionsOur study recommends decitabine consolidation after CD19/CD22 CAR-T therapy as a novel maintenance strategy to improve the survival outcomes of patients with r/r B-ALL.

The DNA repair pathway as a therapeutic target to synergize with trastuzumab deruxtecan in HER2-targeted antibody–drug conjugate–resistant HER2-overexpressing breast cancer

BackgroundAnti-HER2 therapies, including the HER2 antibody–drug conjugates (ADCs) trastuzumab emtansine (T-DM1) and trastuzumab deruxtecan (T-DXd), have led to improved survival outcomes in patients with HER2-overexpressing (HER2+) metastatic breast cancer. However, intrinsic or acquired resistance to anti-HER2–based therapies remains a clinical challenge in these patients, as there is no standard of care following disease progression. The purpose of this study was to elucidate the mechanisms of resistance to T-DM1 and T-DXd in HER2+ BC patients and preclinical models and identify targets whose inhibition enhances the antitumor activity of T-DXd in HER2-directed ADC-resistant HER2+ breast cancer in vitro and in vivo.MethodsTargeted DNA and whole transcriptome sequencing were performed in breast cancer patient tissue samples to investigate genetic aberrations that arose after anti-HER2 therapy. We generated T-DM1 and T-DXd–resistant HER2+ breast cancer cell lines. To elucidate their resistance mechanisms and to identify potential synergistic kinase targets for enhancing the efficacy of T-DXd, we used fluorescence in situ hybridization, droplet digital PCR, Western blotting, whole-genome sequencing, cDNA microarray, and synthetic lethal kinome RNA interference screening. In addition, cell viability, colony formation, and xenograft assays were used to determine the synergistic antitumor effect of T-DXd combinations.ResultsWe found reduced HER2 expression in patients and amplified DNA repair–related genes in patients after anti-HER2 therapy. Reduced ERBB2 gene amplification in HER2-directed ADC–resistant HER2+ breast cancer cell lines was through DNA damage and epigenetic mechanisms. In HER2-directed ADC–resistant HER2+ breast cancer cell lines, our non-biased RNA interference screening identified the DNA repair pathway as a potential target within the canonical pathways to enhance the efficacy of T-DXd. We validated that the combination of T-DXd with ataxia telangiectasia and Rad3-related inhibitor, elimusertib, led to significant breast cancer cell death in vitro (P < 0.01) and in vivo (P < 0.01) compared to single agents.ConclusionsThe DNA repair pathways contribute to HER2-directed ADC resistance. Our data justify exploring the combination treatment of T-DXd with DNA repair–targeting drugs to treat HER2-directed ADC–resistant HER2+ breast cancer in clinical trials.

Genomic correlates of the response to first-line PD-1 blockade plus chemotherapy in patients with advanced non-small-cell lung cancer.

Programmed death 1 (PD-1) blockade plus chemotherapy has become the new first-line standard of care for patients with advanced non-small-cell lung cancer (NSCLC). Yet not all NSCLC patients benefit from this regimen. This study aimed to investigate the predictors of PD-1 blockade plus chemotherapy in untreated advanced NSCLC. We integrated clinical, genomic, and survival data from 287 patients with untreated advanced NSCLC who were enrolled in one of five registered phase 3 trials and received PD-1 blockade plus chemotherapy or chemotherapy alone. We randomly assigned these patients into a discovery cohort (n=125), a validation cohort (n=82), and a control cohort (n=80). The candidate genes that could predict the response to PD-1 blockade plus chemotherapy were identified using data from the discovery cohort and their predictive values were then evaluated in the three cohorts. Immune deconvolution was conducted using transcriptome data of 1014 NSCLC patients from The Cancer Genome Atlas dataset. A genomic variation signature, in which one or more of the 15 candidate genes were altered, was correlated with significantly inferior response rates and survival outcomes in patients treated with first-line PD-1 blockade plus chemotherapy in both discovery and validation cohorts. Its predictive value held in multivariate analyses when adjusted for baseline parameters, programmed cell death ligand 1 (PD-L1) expression level, and tumor mutation burden. Moreover, applying both the 15-gene panel and PD-L1 expression level produced better performance than either alone in predicting benefit from this treatment combination. Immune landscape analyses revealed that tumors with one or more variation in the 15-gene panel were associated with few immune infiltrates, indicating an immune-desert tumor microenvironment. These findings indicate that a 15-gene panel can serve as a negative prediction biomarker for first-line PD-1 blockade plus chemotherapy in patients with advanced NSCLC.

Targeting PLOD2 suppresses invasion and metastatic potential in radiorecurrent prostate cancer

BackgroundMetastatic relapse of prostate cancer after radiotherapy is a significant cause of prostate cancer-related morbidity and mortality. PLOD2 is a mediator of invasion and metastasis that we identified as being upregulated in our highly aggressive radiorecurrent prostate cancer cell line.MethodsPatient dataset analysis was conducted using a variety of prostate cancer cohorts. Prostate cancer cell lines were treated with siRNA, or the drug PX-478 prior to in vitro invasion, migration, or in vivo chick embryo (CAM) extravasation assay. Protein levels were detected by western blot. For RNA analysis, RNA sequencing was conducted on PLOD2 knockdown cells and validated by qRT-PCR.ResultsPLOD2 is a negative prognostic factor associated with biochemical relapse, driving invasion, migration, and extravasation in radiorecurrent prostate cancer. Mechanistically, HIF1α upregulation drives PLOD2 expression in our radiorecurrent prostate cancer cells, which is effectively inhibited by HIF1α inhibitor PX-478 to reduce invasion, migration, and extravasation. Finally, the long non-coding RNA LNCSRLR acts as a promoter of invasion downstream of PLOD2.ConclusionsTogether, our results demonstrate for the first time the role of PLOD2 in radiorecurrent prostate cancer invasiveness, and point towards its potential as a therapeutic target to reduce metastasis and improve survival outcomes in prostate cancer patients.

Performance status improvement and advances in systemic treatment after brain metastases resection: a retrospective single-center cohort study of non-small cell lung cancer patients

BackgroundBrain metastasis (BrM) is prevalent among patients with NSCLC, and surgical resection of BrM constitutes a promising treatment strategy for local management and histopathological diagnosis, although it is offered for a select group of patients. Limited information exists concerning the improvement in performance status (PS) following BrM resection or the outcomes stratified by subsequent systemic therapy.MethodsWe conducted a retrospective single-center cohort study including NSCLC patients with surgically resected BrM and focused on the improvement in PS and subsequent therapy after BrM resection.Results71 patients were included, and the median overall survival was 18.3 months (95% confidence interval [95% CI]: 8.7, not reached). Patients with NSCLC who underwent surgical resection of BrM showed significant improvement in PS (18% and 39% showed ECOG PS of 0–1, before and after BrM resection, respectively [p = 0.006]), and patients with PS improvement were younger than those with PS unimprovement (median, 62 years versus 66 years; p = 0.041). Regarding subsequent systemic therapy after BrM resection, 21 patients (30%) received cytotoxic chemotherapy, 14 patients (20%) received tyrosine kinase inhibitors (TKIs), 3 patients (4%) received immune checkpoint inhibitors (ICIs), and 21 patients (30%) received no subsequent therapy. The survival outcomes of patients stratified by subsequent systemic treatments suggested the tendency that those who received TKI or ICI showed better survival outcomes, although a small number of patients hindered statistical comparisons.ConclusionsWe describe the outcomes of patients with NSCLC who underwent surgical resection of BrM, revealing that younger patients were more likely to anticipate improvement in PS, and patients who received TKI or ICI after BrM resection tended to exhibit a more preferable prognosis.

The effect of adrenalectomy on overall survival in metastatic adrenocortical carcinoma.

Although complete surgical resection provides the only means of cure in adrenocortical carcinoma (ACC), the magnitude of the survival benefit of adrenalectomy in metastatic ACC (mACC) is unknown. To assess the effect of adrenalectomy on survival outcomes in patients with mACC in a real-world setting. Patients with mACC were identified within the Surveillance, Epidemiology, and End Results database (SEER 2004-2020) and we tested for differences according to adrenalectomy status. Patients aged ≥18 years with metastatic ACC at initial presentation who were treated between 2004-2020. Primary tumor resection status (Adrenalectomy vs no-adrenalectomy). Kaplan-Meier plots, multivariable Cox regression models and landmark analyses were used. Sensitivity analyses focused on use of systemic therapy, contemporary (2012-2020) vs. historical (2004-2011), single vs. multiple metastatic sites and assessable specific solitary metastatic sites (lung only and liver only). Of 543 patients with mACC, 194 (36%) underwent adrenalectomy. In multivariable analyses, adrenalectomy was associated with lower overall mortality without (hazard ratio [HR]: 0.39; p<0.001), as well as with three months' landmark analyses (HR: 0.57, p=0.002). The same association effect with three months' landmark analyses was recorded in patients exposed to systemic therapy (HR: 0.49, p<0.001), contemporary patients (HR: 0.57, p=0.004), historical patients (HR: 0.42 , p<0.001), and in those with lung only solitary metastasis (HR: 0.50, p=0.02). In contrast, no significant association was recorded in patients naïve to systemic therapy (HR: 0.68, p=0.3), those with multiple metastatic sites (HR: 0.55, p=0.07) and those with liver only solitary metastasis (HR: 0.98, p=0.9). The current results indicate a potential protective effect of adrenalectomy in mACC, particularly in patients exposed to systemic therapy and those with lung-only metastases.

Short-term Outcome of RPVBT Combined with Chemotherapy for Patients with Single, < 3 cm, T2 Stage Bladder cancer

BackgroundTo investigate the survival outcome of “radical” GreenLight photoselective vaporization of bladder tumor (RPVBT) in conjunction with postoperative chemotherapy for patients with single, < 3 cm in diameter, T2 stage muscle invasive bladder cancer (MIBC).MethodsThirty-eight patients with single, < 3 cm, T2 stage bladder cancer were treated with RPVBT combined with chemotherapy and were included in the RPVBT group. To compare the differences in survival outcome, 80 patients with Ta/T1 bladder cancer and 30 patients with T2 bladder cancer were included as controls. The 80 patients with Ta/T1 bladder cancer underwent GreenLight photoselective vaporization of bladder tumors(PVBT), while 30 patients with T2 bladder cancer underwent radical cystectomy (RC) combined with pelvic lymph node dissection (PLND). Tumor recurrence and death were recorded, and recurrence-free survival (RFS) and overall survival (OS) curves were plotted to compare the survival difference between the RPVBT and control groups.ResultsNo significant differences were observed in comorbidities or living habits between the RPVBT and control groups. Blood loss [RPVBT: 20 (IQR10, 20) vs. RC: 100 (IQR90, 150) mL] and postoperative hospital stay [RPVBT: 5.5 (IQR5, 6), vs. RC: 10 (IQR8, 12) days] in the RPVBT group were significantly lower than that in the RC group. Urinary tract infection [RPVBT: 6 (15.8%) vs. PVBT: 14 (17.5%)] and bladder irritation sign [RPVBT: 11 (28.9%) vs. PVBT: 23 (28.8%) ] were the most common short-term complications in the RPVBT group, with no statistical difference between the RPVBT and PVBT group. The median follow-up time for survival endpoints was 22 (16, 27) months for the included patients after surgery. The outcomes of tumor recurrence at 12, 24, and 36 months were 2 (5.3%), 3 (7.9%), and 5 (13.2%) patients in the RPVBT groups, 13 (16.3%) and 3 (10%) patients experienced recurrence in the PVBT and RC groups at 36 months. No significant differences were noted among the three groups (P = 0.778). Additionally, Kaplan–Meier survival analysis revealed no statistically significant differences in RFS (P = 0.791) and OS (P = 0.689) among the three groups.ConclusionsOur findings indicate that RPVBT combined with chemotherapy is a simple and feasible treatment option with fewer complications and satisfactory survival outcomes in patients with single, < 3 cm, T2 stage bladder cancer.

Transcriptional phenocopies of deleterious KEAP1 mutations correlate with survival outcomes in lung cancer treated with immunotherapy.

Co-occurring mutations in KEAP1 and STK11KRAS have emerged as determinants of survival outcomes in non-small cell lung cancer (NSCLC) patients treated with immunotherapy. However, these mutational contexts identify a fraction of non-responders to immune checkpoint inhibitors. We hypothesized that KEAP1 wild-type tumors recapitulate the transcriptional footprint of KEAP1 mutations, and that this KEAPness phenotype can determine immune responsiveness with higher precision compared to mutation-based models. The TCGA was used to infer the KEAPness phenotype and explore its immunological correlates at the pan-cancer level. The association between KEAPness and survival outcomes was tested in two independent cohorts of advanced NSCLC patients treated with immunotherapy and profiled by RNA-Seq (SU2C n=153; OAK/POPLAR n=439). The NSCLC TRACERx421 multi-region sequencing study (tumor regions n=947) was used to investigate evolutionary trajectories. KEAPness-dominant tumors represented 50% of all NSCLCs and were associated with shorter progression-free survival (PFS) and overall survival (OS) compared to KEAPness-free cases in independent cohorts of NSCLC patients treated with immunotherapy (SU2C PFS P=0.042, OS P=0.008; OAK/POPLAR PFS P=0.0014, OS P<0.001). Patients with KEAPness tumors had survival outcomes comparable to those with KEAP1-mutant tumors. In the TRACERx421, KEAPness exhibited limited transcriptional intratumoral heterogeneity and immune exclusion, resembling the KEAP1-mutant disease. This phenotypic state occurred across genetically divergent tumors, exhibiting shared and private cancer genes under positive selection when compared to KEAP1-mutant tumors. We identified a KEAPness phenotype across evolutionary divergent tumors. KEAPness outperforms mutation-based classifiers as a biomarker of inferior survival outcomes in NSCLC patients treated with immunotherapy.

Survival analysis of gynecological cancers in Southeast China, 2011–2020: A population-based study

PurposeTo analyze the survival outcomes of female patients with cervical, uterine, and ovarian cancers in Southeast China (Fujian Province) from 2011 to 2020 and to provide a reference basis for prognostic evaluation and prevention of gynecological malignancies. MethodsThe data of 5823 patients with cervical, uterine, and ovarian cancers registered in the Fujian Provincial Cancer Prevention and Control System from 2011 to 2020 were enrolled for survival analysis and further stratified by age at diagnosis and township. Survival time was calculated up to March 30, 2022, and relative survival (RS) and age-standardized RS were calculated according to the International Cancer Survival Standards (ICSS). ResultsDuring 2011–2015, the 5-year RS for cervical, uterine, and ovarian cancers were 64.3 %, 64.2 %, and 44.7 %, respectively, while the age-standardized 5-year RS were 56.8 %, 47.9 %, and 27.9 %, respectively. During 2016–2020, the 5-year RS for cervical, uterine, and ovarian cancers were 72.3 %, 78.9 %, and 50.8 %, respectively, while the age-standardized 5-year RS were 64.5 %, 54.6 %, and 34.2 %, respectively. The 5-year RS for cervical and ovarian cancer all declined with age, while the 5-year RS for uterine cancer was highest at 45–54 years and lowest at 75 years. In addition, survival rates were broadly higher in urban than rural areas. ConclusionSurvival rates for cervical, uterine, and ovarian cancers have generally increased in the population covered by the Fujian Cancer Registry. However, survival rates remain lower than in developed countries. Emphasis should be placed on gynecological cancer screening and the introduction of effective treatments to improve survival rates for gynecological cancers.

ANXA5 predicts prognosis and immune response and mediates proliferation and migration in head and neck squamous cell carcinoma

BackgroundHead and neck squamous cell carcinoma (HNSCC) is a common malignancy that often develops unnoticed. Typically, these tumors are identified at advanced stages, resulting in a relatively low chance of successful treatment. Anoikis serves as a natural defense against the spread of tumor cells, meaning circumventing anoikis can effectively inhibit tumor metastasis. Nonetheless, studies focusing on anoikis in the context of HNSCC remain scarce. MethodsAnoikis-related genes (ARGs) were identified by using the GeneCards and Harmonizome databases. Expression data of these genes and relevant clinical features were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A LASSO regression and a prognostic risk score model were developed to determine their prognostic significance. The analysis included the use of the CIBERSORT algorithm to quantify immune and stromal cell presence. Furthermore, in vitro and in vivo, we confirmed the expression and functional roles of proteins and mRNA of genes independently predictive of prognosis. ResultsThe study identified eight genes linked to prognosis (ANXA5, BAK1, CDKN2A, PPARG, CCR7, MAPK11, CRYAB, CRYBA1) and developed a prognostic model that effectively forecasts the survival outcomes for patients with HNSCC. A higher survival likelihood is associated with lower risk scores. In addition, a significant relationship was found between immune and risk score, and ANXA5 deletion promoted the killing of HNSCC cells by activated CD8+ T cells. During the screening process, 65 different chemotherapeutic drugs were found to have significant differences in IC50 values when comparing high- and low-risk categories. ANXA5 emerged as a gene with independent prognostic significance, exhibiting notably elevated protein and mRNA levels in HNSCC tissue compared to non-tumorous tissue. The suppression of ANXA5 gene activity resulted in a substantial decrease in both the growth and mobility of HNSCC cells. Animal model experiments demonstrated that inhibiting ANXA5 suppressed HNSCC growth and migration in vivo. ConclusionThrough bioinformatics, a prognostic risk model of high precision was developed, offering valuable insights into the survival rates and immune responses in patients with HNSCC. ANXA5 is highlighted as a significant prognostic factor among the identified genes, indicating its promise as a potential therapeutic target for those with HNSCC.

Clinical predictive factors of the efficacy of immune checkpoint inhibitors and kinase inhibitors in advanced hepatocellular cancer.

Hepatocellular carcinoma (HCC) is a highly aggressive tumor associated with significant morbidity and mortality rates. Combination therapy with immune checkpoint inhibitors (ICIs) and kinase inhibitors has emerged as a promising strategy for liver cancer treatment in recent years. However, the clinical factors predicting the outcomes of combination therapy in patients with advanced liver cancer remain uncertain. Therefore, this study investigated the relationships between clinical predictors and the efficacy of ICI plus kinase inhibitor therapy to personalize treatment plans. We retrospectively enrolled 98 patients who received combination treatment with ICIs and kinase inhibitors for advanced HCC. Based on blood lipid levels and other clinical factors prior to treatment, we investigated potential biomarkers that could predict treatment responses in this patient population. Mean progression-free survival (PFS) and overall survival (OS) in this cohort were 10.1 and 17.2months, respectively. Via multivariate analysis, the absence of extrahepatic metastasis, the absence of portal vein thrombosis (PVT), neutrophil-to-lymphocyte ratio (NLR) < 3.225, platelet-to-lymphocyte ratio (PLR) < 140.75, and prognostic nutritional index (PNI) ≥ 37.25 were identified as independent predictors of improved PFS. Factors associated with better OS included PLR < 140.75 and total cholesterol (TC) < 3.46mmol/L. Univariate analysis identified significant associations of Eastern Cooperative Oncology Group performance status (ECOG PS), hepatitis B virus (HBV) DNA levels, Child-Pugh classification, alpha-fetoprotein (AFP), TC, and the receipt of regorafenib with PFS. Additionally, ECOG PS, Child-Pugh classification, AFP, PVT, NLR, PNI, and the receipt of regorafenib were significantly associated with OS. PLR and TC were potential clinical predictive factors for survival outcomes in patients with advanced HCC who received ICI/kinase inhibitor combination therapy. It is important to know the clinical characteristics of patients prior to treatment initiation to optimize outcomes.

The impact of a lung-protective ventilation mode using transpulmonary driving pressure titrated positive end-expiratory pressure on the prognosis of patients with acute respiratory distress syndrome.

This study aimed to assess the impact of a lung-protective ventilation strategy utilizing transpulmonary driving pressure titrated positive end-expiratory pressure (PEEP) on the prognosis [mechanical ventilation duration, hospital stay, 28-day mortality rate and incidence of ventilator-associated pneumonia (VAP), survival outcome] of patients with Acute Respiratory Distress Syndrome (ARDS). A total of 105 ARDS patients were randomly assigned to either the control group (n = 51) or the study group (n = 53). The control group received PEEP titration based on tidal volume [A tidal volume of 6 mL/kg, flow rate of 30-60L/min, frequency of 16-20 breaths/min, constant flow rate, inspiratory-to-expiratory ratio of 1:1 to 1:1.5, and a plateau pressure ≤ 30-35 cmH2O. PEEP was adjusted to maintain oxygen saturation (SaO2) at or above 90%, taking into account blood pressure], while the study group received PEEP titration based on transpulmonary driving pressure (Esophageal pressure was measured as a surrogate for pleural pressure using an esophageal pressure measurement catheter connected to the ventilator. Tidal volume and PEEP were adjusted based on the observed end-inspiratory and end-expiratory transpulmonary pressures, aiming to maintain a transpulmonary driving pressure below 15 cmH2O during mechanical ventilation. Adjustments were made 2-4 times per day). Statistical analysis and comparison were conducted on lung function indicators [oxygenation index (OI), arterial oxygen tension (PaO2), arterial carbon dioxide tension (PaCO2)] as well as other measures such as heart rate, mean arterial pressure, and central venous pressure in two groups of patients after 48h of mechanical ventilation. The 28-day mortality rate, duration of mechanical ventilation, length of hospital stay, and ventilator-associated pneumonia (VAP) incidence were compared between the two groups. A 60-day follow-up was performed to record the survival status of the patients. In the control group, the mean age was (55.55 ± 10.51) years, with 33 females and 18 males. The pre-ICU hospital stay was (32.56 ± 9.89) hours. The mean Acute Physiology and Chronic Health Evaluation (APACHE) II score was (19.08 ± 4.67), and the mean Murray Acute Lung Injury score was (4.31 ± 0.94). In the study group, the mean age was (57.33 ± 12.21) years, with 29 females and 25 males. The pre-ICU hospital stay was (33.42 ± 10.75) hours. The mean APACHE II score was (20.23 ± 5.00), and the mean Murray Acute Lung Injury score was (4.45 ± 0.88). They presented a homogeneous profile (all P > 0.05). Following intervention, significant improvements were observed in PaO2 and OI compared to pre-intervention values. The study group exhibited significantly higher PaO2 and OI compared to the control group, with statistically significant differences (all P < 0.05). After intervention, the study group exhibited a significant increase in PaCO2 (43.69 ± 6.71 mmHg) compared to pre-intervention levels (34.19 ± 5.39 mmHg). The study group's PaCO2 was higher than the control group (42.15 ± 7.25 mmHg), but the difference was not statistically significant (P > 0.05). There were no significant differences in hemodynamic indicators between the two groups post-intervention (all P > 0.05). The study group demonstrated significantly shorter mechanical ventilation duration and hospital stay, while 28-day mortality rate and incidence of ventilator-associated pneumonia (VAP) showed no significant differences. Kaplan-Meier survival analysis revealed a significantly better survival outcome in the study group at the 60-day follow-up (HR = 0.565, 95% CI: 0.320-0.999). Lung-protective mechanical ventilation using transpulmonary driving pressure titrated PEEP effectively improves lung function, reduces mechanical ventilation duration and hospital stay, and enhances survival outcomes in patients with ARDS. However, further study is needed to facilitate the wider adoption of this approach.

Perspectives on Neoadjuvant Clinical Trial Participation for Patients with Kidney Cancer: A Survey-Based Examination

Background: Kidney cancer is amongst the deadliest genitourinary malignancies. Neoadjuvant systemic therapy has the potential to improve survival and overall outcomes in select patients. Enrolling patients in trials of neoadjuvant treatment for kidney cancer is challenging, which limits neoadjuvant treatment development. Objective: This study aims to develop a better understanding of the barriers patients face in kidney cancer clinical trial participation, with a particular focus on neoadjuvant trials for renal cell carcinoma. Methods: From 2022–2023, we recruited participants with a history of kidney cancer through a Qualtrics survey that was sent to the Kidney Cancer Association (KCA) and Kidney Cancer Cure (KCCure) mailing lists and social media pages. Patient responses on demographics, clinical information, and perspectives were evaluated. Results: Ninety-four individuals completed the survey. Eighty-one percent of respondents reported not participating in clinical trials due to not being informed about potential applicable trials. Importantly, many (76%) respondents reported that prevention of cancer return was a highly important reason to participate in clinical trials. Most respondents reported a willingness to undergo a kidney biopsy (59%), and/or additional appointments (58%) and surgery delays. Conclusions: Increased patient awareness about clinical trials with the potential to delay cancer recurrence may increase patient participation in clinical trials. Clinical trial design, including additional appointments or interventions and/or minor surgery delays are not major barriers to trial participation.

Impact of tumor multiplicity on the prognosis of patients with primary renal cell carcinoma: a SEER database analysis

To compare clinical characteristics and survival outcomes of patients with multiple renal cell carcinoma versus single renal cell carcinoma. Develop a prognostic model for predicting prognosis in patients with multiple tumors and analyze prognostic factors. Patients with primary multiple renal cell carcinoma were selected from the Surveillance, Epidemiology, and End Results database (2004–2015). They were divided into single-tumor and multiple-tumor groups. Survival analysis was conducted using the Kaplan–Meier method and log-rank test. A Cox regression model was used to identify potential prognostic factors. A total of 19,489 renal cell carcinoma cases were included, with 947 in the multiple-tumor group and 18,542 in the single-tumor group. The multiple-tumor group had lower cancer-specific survival (P = 0.03, HR = 1.431). Cox regression identified risk factors for the multiple-tumor group including number of tumors, gender, combined summary stage, T stage, N stage, tumor size, and type of surgery. The predicted probabilities showed acceptable agreement with the actual observations at 3-, 5-, and 8-years area under the curve values in both the training and validation cohorts (0.831 vs. 0.605; 0.775 vs. 0.672; and 0.797 vs. 0.699, respectively). Compared with single renal cell carcinoma, multiple renal cell carcinoma is associated with decreased cancer-specific survival. Additionally, we identified several prognostic factors including the number of tumors, T stage, tumor size, and type of surgery. These findings offer valuable insights for selecting appropriate treatment strategies for patients diagnosed with multiple renal cell carcinomas.

Multimodal MRI-based deep-radiomics model predicts response in cervical cancer treated with neoadjuvant chemoradiotherapy

Platinum-based neoadjuvant chemotherapy (NACT) followed by radical hysterectomy has been proposed as an alternative treatment approach for cervical cancer (CC) in stage Ib2-IIb, who had a strong desire to be treated with surgery. Our study aims to develop a model based on multimodal MRI by using radiomics and deep learning to predict the treatment response in CC patients treated with neoadjuvant chemoradiotherapy (NACRT). From August 2009 to June 2013, CC patients in stage Ib2-IIb (FIGO 2008) who received NACRT at Fujian Cancer Hospital were enrolled in our study. Clinical information, contrast-enhanced T1-weighted imaging (CE-T1WI), and T2-weighted imaging (T2WI) data were respectively collected. Radiomic features and deep abstract features were extracted from the images using radiomics and deep learning models, respectively. Then, ElasticNet and SVM-RFE were employed for feature selection to construct four single-sequence feature sets. Early fusion of two multi-sequence feature sets and one hybrid feature set were performed, followed by classification prediction using four machine learning classifiers. Subsequently, the performance of the models in predicting the response to NACRT was evaluated by separating patients into training and validation sets. Additionally, overall survival (OS) and disease-free survival (DFS) were assessed using Kaplan-Meier survival curves. Among the four machine learning models, SVM exhibited the best predictive performance (AUC=0.86). Among the seven feature sets, the hybrid feature set achieved the highest values for AUC (0.86), ACC (0.75), Recall (0.75), Precision (0.81), and F1-score (0.75) in the validation set, outperforming other feature sets. Furthermore, the predicted outcomes of the model were closely associated with patient OS and DFS (p = 0.0044; p = 0.0039). A model based on MRI images with features from multiple sequences and different methods could precisely predict the response to NACRT in CC patients. This model could assist clinicians in devising personalized treatment plans and predicting patient survival outcomes.

Lipiodol accumulation patterns and their impact on survival outcomes in transarterial chemoembolization for hepatocellular carcinoma: a single institution retrospective analysis

Conventional Transarterial chemoembolization (TACE) using Lipiodol is a pivotal therapeutic modality for hepatocellular carcinoma (HCC). The link between Lipiodol accumulation patterns and patient survival outcomes remains underexplored. This study assesses the impact of these patterns on the prognosis of HCC patients undergoing TACE. We evaluated HCC patients treated with selective TACE between July 2015 and March 2020, classifying post-procedure Lipiodol accumulation observed on CT scans into four distinct patterns: homogeneous, heterogeneous, defective, and deficient. We analyzed cumulative local tumor recurrence (LTR), progression-free survival (PFS), and overall survival (OS) rates across these groups. Univariate and multivariate logistic regression analyses were performed to identify potential prognostic factors influencing PFS and OS. Among 124 HCC nodules, the distribution of Lipiodol patterns was: 65 homogeneous, 24 heterogeneous, 10 defective, and 25 deficient. Median PFS was 33.2, 9.1, 1.1, and 1.0 months, respectively, while median OS spanned 54.8, 44.5, 25.0, and 29.1 months for these groups. A significant difference in survival was found only between the homogeneous and defective patterns (hazard ratio, 2.33; confidence interval 1.25–4.36). Multivariate analyses revealed nonhomogeneous patterns as significant predictors of shorter PFS (HR 6.45, p < 0.001) and OS (HR 1.73, p = 0.033). Nonhomogeneous Lipiodol patterns in HCC following TACE significantly correlate with higher recurrence and decreased survival rates, especially with defective patterns. Early detection of these patterns may guide timely intervention strategies, potentially enhancing survival outcomes for patients with HCC.