Survival Time Of Patients Research Articles

Bevacizumab reduces cerebral radiation necrosis due to stereotactic radiotherapy in non-small cell lung cancer patients with brain metastases: an inverse probability of treatment weighting analysis.

Cerebral radiation necrosis (RN), a severe complication of stereotactic radiotherapy (SRT), has been shown to significantly decrease patient survival time and quality of life. The purpose of this study was to analyze whether bevacizumab can prevent or reduce the occurrence of SRT-induced cerebral RN in non-small cell lung cancer (NSCLC) patients with brain metastases. We retrospectively reviewed the clinical records of NSCLC patients with brain metastases from March 2013 to June 2023 who were treated with SRT. Patients were divided into two groups: those in the bevacizumab group received SRT with four cycles of bevacizumab, and patients in the control group received SRT only. Inverse probability of treatment weighting (IPTW) was performed based on a multinomial propensity score model to balance the baseline characteristics. The chi-square test was used. A Cox model was used to evaluate overall survival (OS). A total of 80 patients were enrolled, namely, 28 patients in the bevacizumab group and 52 patients in the control group. The possibility of developing cerebral RN and/or symptomatic edema (RN/SE) was significantly decreased in patients treated with bevacizumab compared to those who did not receive bevacizumab before IPTW (p=0.036) and after IPTW (p=0.015) according to chi-square analysis. The IPTW-adjusted median OS was 47.7 months (95% CI 27.4-80.8) for patients in the bevacizumab group and 44.1 months (95% CI 36.7-68.0) (p=0.364) for patients in the control group. The application of bevacizumab concurrent with SRT may prevent or reduce the occurrence of cerebral RN in NSCLC patients with brain metastases.

Development and validation of accelerated failure time model for cause-specific survival and prognostication of oral squamous cell carcinoma: SEER data analysis.

Oral Squamous Cell Carcinoma is the most prevalent malignancies affecting the oral cavity. Despite progress in studies and treatment options its outlook remains grim with survival prospects greatly affected by demographic and clinical factors. Precisely predicting survival rates and prognosis plays a role in making treatment choices for the best achievable overall health outcomes. To develop and validate an accelerated failure time model as a predictive model for cause-specific survival and prognosis of Oral Squamous Cell Carcinoma patients and compare its results to the traditional Cox proportional hazard model. We screened Oral cancer patients diagnosed with Squamous Cell Carcinoma from the Surveillance Epidemiology and End Results (SEER) database between 2010 and 2020. An accelerated failure time model using the Type I generalized half logistic distribution was used to determine independent prognostic factors affecting the survival time of patients with oral squamous carcinoma. In addition, accelerated factors were estimated to assess how some variables influence the survival times of the patients. We used the Akaike Information Criterion, Bayesian Information Criterion to evaluate the model fit, the area under the curve for discriminability, Concordance Index (C-index) and Root Mean Square Error and calibration curve for predictability, to compare the type I generalized half logistic survival model to other common classical survival models. All tests are conducted at a 0.05 level of significance. The accelerated failure time models demonstrated superior effectiveness in modeling (fit and predictive accuracy) the cause-specific survival (CSS) of oral squamous cell carcinoma compared to the Cox model. Among the accelerated failure time models considered, the Type I generalized half logistic distribution exhibited the most robust model fit, as evidenced by the lowest Akaike Information Criterion (AIC = 27370) and Bayesian Information Criterion (BIC = 27415) values. This outperformed other parametric models and the Cox Model (AIC = 47019, BIC = 47177). The TIGHLD displayed an AUC of 0.642 for discrimination, surpassing the Cox model (AUC = 0.544). In terms of predictive accuracy, the model achieved the highest concordance index (C-index = 0.780) and the lowest root mean square error (RMSE = 1.209), a notable performance over the Cox model (C-index = 0.336, RMSE = 6.482). All variables under consideration in this study demonstrated significance at the 0.05 level for CSS, except for race and the time span from diagnosis to treatment, in the TIGHLD AFT model. However, differences emerged regarding the significant variations in survival times among subgroups. Finally, the results derived from the model revealed that all significant variables except chemotherapy, all TNM stages and patients with Grade II and III tumor presentations contributed to the deceleration of time to cause-specific deaths. The accelerated failure time model provides a relatively accurate method to predict the prognosis of oral squamous cell carcinoma patients and is recommended over the Cox PH model for its superior predictive capabilities. This study also underscores the importance of using advanced statistical models to improve survival predictions and outcomes for cancer patients.

ITCH inhibits alkaliptosis in human pancreatic cancer cells through YAP1-dependent SLC16A1 activation

Alkaliptosis is a type of pH-dependent cell death and plays an emerging role in tumor suppression. However, the key modulation mechanism of alkaliptosis remains largely unknown. In particular, the nucleus, as the centre of genetic and metabolic regulation, is crucial for the regulation of cellular life. It is not known whether nuclear proteins are involved in the regulation of alkaliptosis. Here, we isolated nuclear proteins to perform a proteomics that identified itchy E3 ubiquitin protein ligase (ITCH) as a natural inhibitor of alkaliptosis in human pancreatic ductal adenocarcinoma (PDAC) cells. The downregulation of ITCH protein is associated with the induction of alkaliptosis in three human PDAC cell lines (SW1990, MiaPaCa2, and PANC1). Functionally, increasing ITCH expression reduces JTC801-induced growth inhibition and cell death. In contrast, knocking down ITCH using specific shRNA increases JTC801-induced cell growth inhibition in the short or long term, resulting in increased cell death. Mechanistically, JTC801-induced ITCH inhibition blocks large tumor suppressor kinase 1 (LATS1) ubiquitination, which in turn suppresses Yes1 associated transcriptional regulator (YAP1)-dependent the transcriptional activation of solute carrier family 16 member 1 (SLC16A1), a proton-linked monocarboxylate transporter that inhibits JTC801-induced alkaliptosis. Additionally, decreased expression of ITCH is associated with longer survival times in patients with PDAC. Collectively, our results establish an ITCH-dependent pathway that regulates alkaliptotic sensitivity in PDAC cells and deepen the understanding of alkaliptosis in targeted therapy.

Distant metastatic patterns in young and old non-small cell lung cancer patients: A dose‒response analysis based on SEER population

BackgroundFew research has explored the risk of distant metastasis dynamically changes with age in non-small cell lung cancer patients. The objective of this study was to explore the risk factors of developing distant metastasis with changing age. MethodsThis retrospective cohort study was based on a large population of patients with non-small cell lung cancer from the SEER database. Logistic regression was applied to identify risk factors for distant metastasis. The clinicopathological features were compared between the young group (≤50 years old) and the old group (>50 years old). Dose-response analyses were conducted to explore risk of distant metastasis changes with age. ResultsA total of 18,711 patients were studied in this study. According to the univariate and multivariate logistic regression analyses, ten factors were found to be risk factors for distant metastasis. Young patients have a greater incidence of each pattern of metastasis. However, the survival time of younger patients was longer. Dose-response analyses indicated that the risks of pleural or pericardial metastasis and overall distant metastasis gradually decreased with age at younger ages, but they intend to increase at older ages. ConclusionsAge, sex, ethnicity, histology, T category, N category, differentiation grade, primary site of the tumor, ipsilateral metastases are factors associated with distant metastasis in NSCLC patients. Young patients have a greater risk of distant metastasis. The distant metastasis may decrease with the increasing age in patients younger than 70 years, but increase with the climb of age for patients older than 70 years.

The potential of lenvatinib in breast cancer therapy.

Breast cancer, as a highly prevalent cancer among women, is one of the main causes of female mortality due to cancer. There is a need for more treatment options to improve the survival time of breast cancer patients. Metastasis to distant organs is a standard indicator of advanced breast cancer and a primary cause of breast cancer mortality, making the control of breast cancer metastasis crucial. Targeted therapy, with its advantages of precision, high effectiveness, and minimal side effects, has garnered significant attention as a hot research topic in breast cancer treatment. Among these therapies, anti-angiogenic therapy aim to inhibit tumor angiogenesis, control tumor growth, and reduce metastasis. Additionally, anti-angiogenic therapy can restructure the tumor vasculature, enhancing the effectiveness of other anti-cancer drugs. Lenvatinib, an orally available small molecule multi-targeted tyrosine kinase inhibitor, exerts its anti-tumor effects mainly by inhibiting tumor angiogenesis and tumor cell proliferation. It has been approved for the treatment of thyroid cancer, renal cell carcinoma, and hepatocellular carcinoma. Due to its multi-targeted nature, lenvatinib not only has direct anti-tumor effects but also possesses immunomodulatory activity, which can enhance the tumor immune response. This makes it a promising candidate for a broad range of cancers. Recent studies have explored the role of lenvatinib in breast cancer, including its various mechanisms of action and its use as a monotherapy or in combination to control breast cancer progression. This review will summarize the molecular mechanisms and research progress of lenvatinib in breast cancer treatment, discussing its potential applications and therapeutic prospects in managing breast cancer.

Cooperation between SIX1 and DHX9 transcriptionally regulates integrin-focal adhesion signaling mediated metastasis and sunitinib resistance in KIRC.

High invasive capacity and acquired tyrosine kinase inhibitors (TKI) resistance of kidney renal clear cell carcinoma (KIRC) cells remain obstacles to prolonging the survival time of patients with advanced KIRC. In the present study, we reported that sine oculis homeobox 1 (SIX1) was upregulated in sunitinib-resistant KIRC cells and metastatic KIRC tissues. Subsequently, we found that SIX1 mediated metastasis and sunitinib resistance via Focal adhesion (FA) signaling, and knockdown of SIX1 enhanced the antitumor efficiency of sunitinib in KIRC. Mechanistically, Integrin subunit beta 1 (ITGB1), an upstream gene of FA signaling, was a direct transcriptional target of SIX1. In addition, we showed that DExH-box helicase 9 (DHX9) was an important mediator for SIX1-induced ITGB1 transcription, and silencing the subunits of SIX1/DHX9 complex significantly reduced transcription of ITGB1. Downregulation of SIX1 attenuated nuclear translocation of DHX9 and abrogated the binding of DHX9 to ITGB1 promoter. Collectively, our results unveiled a new signal axis SIX1/ITGB1/FAK in KIRC and identified a novel therapeutic strategy for metastatic KIRC patients.

Non-invasive surrogate markers of pulmonary hypertension are associated with poor survival in patients with cancer

BackgroundCancer is one of the leading causes of death worldwide, and cardiopulmonary comorbidities may further adversely affect cancer prognosis. We recently described lung cancer-associated pulmonary hypertension (PH) as a new...

Trends in Mortality for Anaplastic Thyroid Cancer: Have We Made Progress?

IntroductionAnaplastic thyroid cancer (ATC) has one of the highest mortality rates of all human malignancies, accounting for two-thirds of all thyroid cancer deaths. Despite multimodal treatment, ATC still has a reported median survival period of 6 mo. Recent single-center studies have reported improved survival with the approval of new treatments for ATC. In this study, we sought to investigate whether the approval of new treatments and use of multimodal treatments was associated with reduced risk of mortality over time nationally. MethodsEight hundred and seventy four patients in the National Cancer Institute's Surveillance, Epidemiology, and End Results database that were diagnosed with ATC from 1990 to 2020 were included in this study. Cox proportional hazards models were used to assess the change in 2-y survival over time and to identify characteristics associated with survival. Overall survival (OS) and cancer specific survival (CSS) were both evaluated. ResultsThe OS within 2 y of diagnosis was 14% and the CSS was 19%. For every 3-y increase in diagnosis year from 1990 to 2020, there was no significant change in the CSS (adjusted hazard ratio [95% confidence interval]: 0.98 [0.94, 1.01]). Patients who received treatment (surgery, chemotherapy, and/or radiation) had an increased CSS (adjusted hazard ratio [95% confidence interval]: 0.42 [0.32, 0.55]). ConclusionsWe observed no significant change in OS or CSS after adjusting for confounders by year of diagnosis. Though receiving treatment was associated with increased CSS, more effective treatments are needed in the future to increase survival time in patients with ATC.

Optimal subsampling for semi-parametric accelerated failure time models with massive survival data using a rank-based approach.

Subsampling is a practical strategy for analyzing vast survival data, which are progressively encountered across diverse research domains. While the optimal subsampling method has been applied to inferences for Cox models and parametric accelerated failure time (AFT) models, its application to semi-parametric AFT models with rank-based estimation have received limited attention. The challenges arise from the non-smooth estimating function for regression coefficients and the seemingly zero contribution from censored observations in estimating functions in the commonly seen form. To address these challenges, we develop optimal subsampling probabilities for both event and censored observations by expressing the estimating functions through a well-defined stochastic process. Meanwhile, we apply an induced smoothing procedure to the non-smooth estimating functions. As the optimal subsampling probabilities depend on the unknown regression coefficients, we employ a two-step procedure to obtain a feasible estimation method. An additional benefit of the method is its ability to resolve the issue of underestimation of the variance when the subsample size approaches the full sample size. We validate the performance of our estimators through a simulation study and apply the methods to analyze the survival time of lymphoma patients in the surveillance, epidemiology, and end results program.

Research progress on the role of PTEN deletion or mutation in the immune microenvironment of glioblastoma.

Recent advances in immunotherapy represent a breakthrough in solid tumor treatment but the existing data indicate that immunotherapy is not effective in improving the survival time of patients with glioblastoma. The tumor microenvironment (TME) exerts a series of inhibitory effects on immune effector cells, which limits the clinical application of immunotherapy. Growing evidence shows that phosphate and tension homology deleted on chromosome ten (PTEN) plays an essential role in TME immunosuppression of glioblastoma. Emerging evidence also indicates that targeting PTEN can improve the anti-tumor immunity in TME and enhance the immunotherapy effect, highlighting the potential of PTEN as a promising therapeutic target. This review summarizes the function and specific upstream and downstream targets of PTEN-associated immune cells in glioblastoma TME, providing potential drug targets and therapeutic options for glioblastoma.

Frizzled 6 endows high-grade serous ovarian cancer with stem-like properties and chemoresistance.

Stem-like properties contribute to tumor growth, metastasis, and chemoresistance. High-grade serous ovarian cancer (HGSOC) exhibits a very aggressive phenotype characterized by extensive metastasis, rapid progression, and therapy resistance. Frizzled 6 (FZD6) is overexpressed in HGSOC, and higher levels of FZD6 have been associated with shorter survival times in patients with HGSOC. Functionally, FZD6 promotes HGSOC growth and peritoneal metastasis. It endues HGSOC cells with stem-like properties by modulating POU5F1, ALDH1, and EPCAM. It can also desensitize HGSOC cells to certain chemical drugs. As a putative ligand for FZD6, WNT7B is also implicated in cell proliferation, stem-like properties, invasion and migration, and chemoresistance. SMAD7 is a downstream component of FZD6 signaling that is thought to mediate FZD6-associated phenotypes, at least in part. Therefore, FZD6/WNT7B-SMAD7 can be considered a tumor-promoting signaling pathway in HGSOC that may be responsible for tumor growth, peritoneal metastasis, and chemoresistance.

A Research on Machine Learning for Predicting Survival Time in Cancer Patients

A Research on Machine Learning for Predicting Survival Time in Cancer Patients

Association of CTLA-4 gene polymorphisms with the genetic susceptibility and prognosis of patients with Bladder urothelial carcinoma

To assess the association of cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) gene polymorphisms with the prognosis of patients with Bladder urothelial carcinoma (BUC). From February 2019 to October 2020, 256 BUS patients treated at the Xinxiang Central Hospital were selected as the study group, whilst 250 healthy individuals were selected as the control group. Genotypes of rs5742909 (-318C/T), rs231775 (+49A/G) and rs4553808 (-1661A/G) were determined by PCR-restriction fragment length polymorphism assay. The frequencies of genotypes and alleles of the CTLA-4 gene were compared between the two groups. All patients had undergone surgical treatment and were followed up for 3 years and divided into good prognosis group (n = 166) and poor prognosis group (n = 86) based on the status of disease. The distribution of alleles and genotypes were compared, and Kaplan-Meier analysis was used to assess the association of genetic polymorphisms with the prognosis. No significant difference was found in the gender, age, BMI, smoking history and alcohol use between the two groups (P > 0.05). The frequencies of GG genotype and G allele for the rs231775 (+49A/G) and rs4553808 (-1661A/G) loci were significantly higher in the study group compared with the control group (P < 0.05), whilst no statistical difference was found in the genotypic and allelic frequency for the rs5742909 locus between the two groups (P > 0.05). Among the 252 subjects who had completed follow-up, 86 had poor prognosis and 166 had good prognosis. The frequencies of GG genotype and G allele at the rs231775 (+49A/G) and rs4553808 (-1661A/G) loci were significantly lower in the good prognosis group compared with the poor prognosis group (P < 0.05). Kaplan-Meier survival curve analysis showed that the survival time of patients with GG genotype for the rs231775 (+49A/G) and rs4553808 (-1661A/G) loci was significantly shorter than patients with AA or AG genotypes (Log Rank 2 = 13.654, 9.974, P < 0.001). The polymorphisms of the rs231775 and rs4553808 loci of the CTLA-4 gene are associated with genetic susceptibility and poor prognosis for BUC, and a higher GG genotypic frequency may increase the risk for infection and poor prognosis of the patients.

Trends in multiple myeloma incidence, prevalence, mortality, and survival rate in South Korea: a nationwide population-based study.

This is the first study presenting the overall descriptive epidemiology of multiple myeloma (MM), including incidence, mortality rate, and prevalence, in South Korea between 2010 and 2018 based on nationwide medical insurance coverage and mortality statistics data. The incidence of MM between 2010 and 2018 was obtained from nationwide medical claims data, and mortality data were obtained from the Korea National Statistical Office. The age-standardized incidence rate (ASIR) and mortality rate (ASMR) and one- and five-year survival rates of patients with MM each year were estimated. There were 10,835 patients with MM aged ≥ 20years in South Korea between 2010 and 2018. The ASIR was 2.42/100,000 in 2010 and increased to 2.71/100,000 in 2018, with an annual percent change (APC) of 1.86% (95% CI = 0.74-2.99%, P = 0.005). While this trend was significant in women, it was not statistically significant in men. The ASMR did not significantly change over time. Furthermore, the median survival time of patients with MM diagnosed between 2010 and 2018 was 3.36years. Notably, the one-year survival rate of patients was increased from 65.3% in 2010 to 76.2% in 2017. Finally, the proportion of patients with MM who received novel therapeutic agents, such as proteasome inhibitors or immunomodulatory drugs, as first-line treatment increased from 37.7% in 2010 to 97.8% in 2018. The ASIR and prevalence of MM in South Korea increased between 2010 and 2018, especially in women and the survival rate of patients with MM has increased.

Comprehensive survival analysis of oral squamous cell carcinoma patients undergoing initial radical surgery

ObjectiveThis study was designed to evaluate the five-year overall survival (OS) rate and postoperative survival time of patients diagnosed with oral squamous cell carcinoma (OSCC), as well as examine the clinical and pathological factors influencing survival outcomes in OSCC patients.MethodsData were collected from OSCC patients who underwent their first radical surgical intervention in the Department of Maxillofacial Surgery at the First Affiliated Hospital of Chongqing Medical University between April 2014 and December 2016. Follow-up was conducted until March 2022.ResultsThe study included a total of 162 patients. The observed 5-year OS rate was 59.3%. Approximately 45.7% of OSCC patients experienced postoperative recurrence or metastasis, with a 5-year overall disease-free survival rate of 49.4%. There was no significant difference in the impact of sex, age, smoking, alcohol consumption, primary tumour location, depth of invasion or primary tumour size on the 5-year survival rate (p > 0.05). Univariate analysis revealed that clinical stage (Hazard Ratio = 2.239, p = 0.004), perineural invasion (PNI) (Hazard Ratio = 1.712, p = 0.03), lymph node metastasis (pN) (Hazard Ratio = 2.119, p = 0.002), pathological differentiation (Hazard Ratio = 2.715, p < 0.001), and recurrence or metastasis (Hazard Ratio = 10.02, p < 0.001) were significant factors influencing survival. Multivariate analysis further indicated that pathological differentiation (Hazard Ratio = 2.291, p = 0.001), PNI (Hazard Ratio = 1.765, p = 0.031) and recurrence or metastasis (Hazard Ratio = 9.256, p < 0.001) were independent risk factors of survival. Intriguingly, 11 OSCC patients were diagnosed with oesophageal squamous cell carcinoma (ESCC) within 1-4 years following surgery.ConclusionThe survival prognosis of OSCC patients is significantly associated with clinical stage, PNI, lymph node metastasis, pathological differentiation, and recurrence or metastasis. Pathological differentiation, PNI and recurrence or metastasis are independent risk factors affecting survival. Routine clinical screening for ESCC may be recommended for OSCC patients with a history of alcohol consumption and tobacco use.

Genetic Analysis of Melanoma Types Using Japanese Genomic Database.

The purpose of this study is to compare genetic mutations, tumor mutation burden (TMB), and the effects of molecular targeted drugs and immune checkpoint inhibitors (ICIs) in head and neck mucosal melanoma (HNMUM) with those in skin melanoma (SKM) and ocular melanoma (OM). Data were analyzed for 72 consecutive patients with HNMUM, including 366 with SKM and 31 with OM, registered at the Japan National Cancer Center, Center for Cancer Genomics and Advanced Therapeutics (C-CAT) between June 2019 and October 2023. Genetic alterations and TMB were determined by FoundationOne CDx next-generation sequencing. The top 10 mutations in HNMUM were RAD21 (47.2%), NBN (45.8%), MYC (40.3%), LYN (31.9%), NRAS (29.1%), IRF4 (23.6%), DAXX (22.2%), KIT (22.2%), NOTCH3 (20.8%), and DDR1 (19.4%), with 16.6 ± 0.8 (mean ± SEM) mutations/individual. In SKM, BRAF (p = 0.04) mutation was associated with a significantly better prognosis. The TMB values were 5.7 ± 2.1 (mean ± SEM) in HNMUM, 4.1 ± 0.2 in SKM, and 3.4 ± 0.9 in OM, with no significant differences among the three groups. The median survival time for patients with distant metastases was 803 (95% confidence interval: 539-NA) days for HNMUM, 1413 (831-2172) days for SKM, and 1138 (438-NA) days for OM. The top 10 mutations in HNMUM are closer to those in OM than those in SKM. There was no significant difference in TMB values or survival rates with regard to the therapeutic effect of ICIs among the diseases, which suggests that current treatment of HNMUM with ICIs is appropriate. 3 Laryngoscope, 2024.

Prediction of lung adenocarcinoma prognosis and diagnosis with a novel model anchored in circadian clock-related genes

Lung adenocarcinoma is the most common primary lung cancer seen in the world, and identifying genetic markers is essential for predicting the prognosis of lung adenocarcinoma and improving treatment outcomes. It is well known that alterations in circadian rhythms are associated with a higher risk of cancer. Moreover, circadian rhythms play a regulatory role in the human body. Therefore, studying the changes in circadian rhythms in cancer patients is crucial for optimizing treatment. The gene expression data and clinical data were sourced from TCGA database, and we identified the circadian clock-related genes. We used the obtained TCGA-LUAD data set to build the model, and the other 647 lung adenocarcinoma patients’ data were collected from two GEO data sets for external verification. A risk score model for circadian clock-related genes was constructed, based on the identification of 8 genetically significant genes. Based on ROC analyses, the risk model demonstrated a high level of accuracy in predicting the overall survival times of lung adenocarcinoma patients in training folds, as well as external data sets. This study has successfully constructed a risk model for lung adenocarcinoma prognosis, utilizing circadian rhythm as its foundation. This model demonstrates a dependable capacity to forecast the outcome of the disease, which can further guide the relevant mechanism of lung adenocarcinoma and combine behavioral therapy with treatment to optimize treatment decision-making.

Construction and validation of a prognostic model for overall survival time of patients with ovarian cancer by metabolism-related genes.

Ovarian cancer is a female-specific malignancy with high morbidity and mortality. The metabolic reprogramming of tumor cells is closely related to the biological behavior of tumors. The prognostic signature of the metabolism-related gene (MRGs) was established by LASSO-Cox regression analysis. The prognostic signature of MRGs was also prognosticated in each clinical subgroup. These genes were subjected to functional enrichment analysis and tissue expression exploration. Analysis of the MRG prognostic signature in terms of immune cell infiltration and antitumor drug susceptibility was also performed. A MRG prognostic signature including 21 genes was established and validated. Most of the 21 MRGs were expressed at different levels in ovarian cancer than in normal ovarian tissue. The enrichment analysis suggested that MRGs were involved in lipid metabolism, membrane organization, and molecular binding. The MRG prognostic signature demonstrated the predictive value of overall survival time in various clinical subgroups. The monocyte, NKT, Tgd and Tex cell scores showed differences between the groups with high- and low-risk score. The antineoplastic drug analysis we performed provided information on ovarian cancer drug therapy and drug resistance. In vitro experiments verified that PLCH1 in 21 MRGs can regulate the apoptosis and proliferation of ovarian cancer cells. This metabolism-related prognostic signature was a potential prognostic factor in patients with ovarian cancer, demonstrating high stability and accuracy.

The indication of palliative whole-brain radiotherapy for patients with brain metastases: a simple prognostic scoring system in the era of stereotactic radiosurgery

BackgroundStereotactic irradiation has become the mainstay treatment for brain metastases (BM), and whole-brain radiotherapy (WBRT) is often used for symptom palliation. However, the survival time of patients with BM undergoing palliative WBRT (pWBRT) is limited, making it difficult to select patients who should receive treatment.MethodsWe collected patient data from 2016 to 2022 at the Shizuoka Cancer Center and retrospectively analyzed the factors related to survival time. Overall survival (OS) was defined as the survival time after WBRT.ResultsA total of 301 patients (median age, 66 years) who underwent pWBRT were included. The primary cancers were lung, breast, gastrointestinal tract, and other cancers in 203 (67%), 38 (13%), 33 (11%), and 27 (9%) patients, respectively. Median OS of all patients was 4.1 months. In the multivariate analysis, male sex (hazard ratio [HR]:1.4), Karnofsky Performance Status (KPS) ≤ 60 (HR:1.7), presence of extracranial metastasis (ECM) (HR:1.6), neutrophil-lymphocyte ratio (NLR) ≥ 5 (HR:1.6), and lactate dehydrogenase (LDH) ≥ upper limit of normal (ULN) (HR:1.3) were significantly associated with shorter OS (all P < 0.05). To predict the OS, we created a prognostic scoring system (PSS). We gave one point to each independent prognostic factor. Median OS for patients with scores of 0–2, 3, and 4–5 were 9.0, 3.5 and 1.7 months, respectively (P < 0.001).ConclusionsMale sex, KPS ≤ 60, presence of ECM, NLR ≥ 5, and LDH ≥ ULN were poor prognostic factors for patients with BM undergoing pWBRT. By PSS combining these factors, it may be possible to select patients who should undergo pWBRT.

SMARCA4-deficient undifferentiated tumor with high quality of life and far exceeding predicted survival: A case report.

SMARCA4-deficient undifferentiated tumor (SMARCA4-UT) is a recently reported rare malignancy that can rapidly metastasize to tissues and organs throughout the body. The tumor is characterized by a lower response to platinum-based chemotherapy. More regrettably, the mean survival time of patients with this disease after diagnosis is only 4 to 7 months. A 58-year-old man was admitted to a hospital for fatigue, sudden syncope, and a mass-like shadow of his left upper lobe demonstrated by a pulmonary computed tomographic. Based on his subsequent clinical and pathological features, he was highly suspected of SMARCA4-UT. Combined with next-generation sequencing genetic testing and immunohistochemical examination results, the patient was diagnosed with SMARCA4-UT. The patient received a left upper lobectomy and lymph node dissection, four-course chemotherapy divided into 8 sessions with the use of paclitaxel simply, and a proper post-discharge self-care. The patient's operation and chemotherapy were all successful and he maintained a high quality of life after surgery that far exceeded his predicted survival. Early diagnosis, higher education level, attention to the disease and complications, reducing chemotherapy damage, adequate nutrient intake, relieving symptoms, controlling depression, and maintaining immunity and the ability to perform activities of daily living may all be the positive factors that can prolong the survival of patients with SMARCA4-UT.