Predictor Of Survival Research Articles

The role of adjuvant chemotherapy after radical surgery in patients with lymph node-positive bladder cancer or locally advanced (pT3, pT4a) bladder cancer: A meta-analysis and systematic review.

This study aims to evaluate the impact of adjuvant chemotherapy (AC) on survival outcomes in patients with lymph node-positive bladder cancer or locally advanced (pT3, pT4a) bladder cancer after surgery. We also seek to identify which patients with pN+ bladder cancer are most likely to benefit from AC after radical cystectomy (RC). We searched databases including Embase, PubMed, Cochrane, and ClinicalTrials.gov to identify relevant literature published in English up to February 2024. We used Stata to compare various parameters. The study has been registered in PROSPERO. A total of 21 studies were analyzed, including 1 randomized controlled trial, 6 prospective studies, and 14 retrospective studies, encompassing 12,888 patients. The meta-analysis showed that for patients with lymph node-positive bladder cancer, the adjuvant chemotherapy (AC) group had higher overall survival (OS) (I2=58.2%, HR 0.69; 95% CI: 0.57-0.83; P=0.019) and recurrence-free survival (RFS) (I2=66.6%, HR 0.71; 95% CI: 0.57-0.89; P=0.006) compared to the radical cystectomy (RC) group. For patients with pT3 and pT4a bladder cancer, the AC group had higher overall survival (OS) (I2=57.3%, HR 0.77; 95% CI: 0.67-0.89; P=0.022) and cancer-specific survival (CSS) (I2=47.2%, HR 0.75; 95% CI: 0.64-0.88; P=0.0048) compared to the RC group. At the same time, according to the different chemotherapy regimens, we divided the cisplatin-based chemotherapy regimen and carboplatin based chemotherapy or other regimens into two subgroups for analysis, and found that the OS (I2=41.4%, HR 0.64; 95%CI: 0.51~0.80; P=0.000) was better than carboplatin and other chemotherapy regimens (I2=64.1%, HR 0.77; 95%CI: 069~0.86; P=0.000); Lymph node density (LND) was found to be an independent predictor of overall survival (HR=1.6; 95% CI: 1.31-1.95; P=0.0000). This study found that postoperative adjuvant chemotherapy (AC) improves overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS) in patients with pT3, pT4a, It was also confirmed that cisplatin-based chemotherapy regimen was more beneficial for patients with bladder cancer; and lymph node-positive bladder cancer. Additionally, our analysis revealed that patients with lymph node-positive bladder cancer benefit more from postoperative AC. It was further demonstrated that cisplatin-based chemotherapy regimens are more beneficial than other regimens for patients with locally advanced bladder cancer.

ASO Author Reflections: Importance of Preoperative Prediction of Survival in Resectable Pancreatic Ductal Adenocarcinoma.

ASO Author Reflections: Importance of Preoperative Prediction of Survival in Resectable Pancreatic Ductal Adenocarcinoma.

Reply to the Letter to the Editor: Are Current Survival Prediction Tools Useful When Treating Subsequent Skeletal-related Events From Bone Metastases?

Reply to the Letter to the Editor: Are Current Survival Prediction Tools Useful When Treating Subsequent Skeletal-related Events From Bone Metastases?

Identification of prognostic imaging biomarkers in H3 K27-altered diffuse midline gliomas in adults: impact of tumor oxygenation imaging biomarkers on survival.

To investigate prognostic markers for H3 K27-altered diffuse midline gliomas (DMGs) in adults with clinical, qualitative and quantitative imaging phenotypes, including tumor oxygenation characteristics. Retrospective chart and imaging reviews were conducted on 32 adults with H3 K27-altered DMGs between 2017 and 2023. Clinical and qualitative imaging characteristics were analyzed. Quantitative imaging assessment was performed from the tumor mask via automatic segmentation to calculate normalized cerebral blood volume (nCBV), capillary transit time heterogeneity (CTH), oxygen extraction fraction (OEF), relative cerebral metabolic rate of oxygen (rCMRO2), and mean ADC values. Leptomeningeal metastases (LM) was diagnosed with imaging. Cox analyses were conducted to determine predictors of overall survival (OS) in entire patients and a subgroup of patients with contrast-enhancing (CE) tumor. The median patient age was 40.5 years (range 19.9-75.7), with an OS of 30.3 months (interquartile range 11.3-32.3). In entire patients, the presence of LM was the only independent predictor of OS (hazard ratio [HR] = 6.01, P = 0.009). In the subgroup of 23 (71.9%) patients with CE tumors, rCMRO2 of CE tumor (HR = 1.08, P = 0.019) and the presence of LM (HR = 5.92, P = 0.043) were independent predictors of OS. The presence of LM was independently associated with poor prognosis in adult patients with H3 K27-altered DMG. In patients with CE tumors, higher rCMRO2 of CE tumor, which may reflect higher metabolic activity in the tumor oxygenation microenvironment, may be a useful imaging biomarker to predict poor prognosis.

Co-expression of CD44v6 and MMP2 predicts lung metastasis and unfavorable prognosis in osteosarcoma.

Aim: To evaluate the prognostic significance of CD44 variant v6 (CD44v6) and matrix metalloproteinases 2 (MMP2) expression in patients with surgically resected osteosarcoma. Methods: CD44v6 and MMP2 expression were immunohistochemically detected in 113 primary osteosarcoma patients at our institute between 2001 and 2019. Results: Both CD44v6 and MMP2 were independent predictors for metastasis-free and overall survival. An extended predictive range and improved sensitivity were observed when the combined effects of CD44v6 and MMP2 were considered. Specifically, patients with CD44v6+and MMP2+expression were more susceptible to lung metastasis and exhibited the poorest survival rates compared with the other groups. Conclusion: The combination of CD44v6 and MMP2 may serve as a precise prognostic indicator for predicting metastatic progression and survival outcomes in patients with osteosarcoma.

A study predicting long-term survival capacity in postoperative advanced gastric cancer patients based on MAOA and subcutaneous muscle fat characteristics

BackgroundThe prognosis of advanced gastric cancer (AGC) is relatively poor, and long-term survival depends on timely intervention. Currently, predicting survival rates remains a hot topic. The application of radiomics and immunohistochemistry-related techniques in cancer research is increasingly widespread. However, their integration for predicting long-term survival in AGC patients has not been fully explored.MethodsWe Collected 150 patients diagnosed with AGC at the Affiliated Zhongshan Hospital of Dalian University who underwent radical surgery between 2015 and 2019. Following strict inclusion and exclusion criteria, 90 patients were included in the analysis. We Collected postoperative pathological specimens from enrolled patients, analyzed the expression levels of MAOA using immunohistochemical techniques, and quantified these levels as the MAOAHScore. Obtained plain abdominal CT images from patients, delineated the region of interest at the L3 vertebral body level, and extracted radiomics features. Lasso Cox regression was used to select significant features to establish a radionics risk score, convert it into a categorical variable named risk, and use Cox regression to identify independent predictive factors for constructing a clinical prediction model. ROC, DCA, and calibration curves validated the model’s performance.ResultsThe enrolled patients had an average age of 65.71 years, including 70 males and 20 females. Multivariate Cox regression analysis revealed that risk (P = 0.001, HR = 3.303), MAOAHScore (P = 0.043, HR = 2.055), and TNM stage (P = 0.047, HR = 2.273) emerged as independent prognostic risk factors for 3-year overall survival (OS) and The Similar results were found in the analysis of 3-year disease-specific survival (DSS). The nomogram developed could predict 3-year OS and DSS rates, with areas under the ROC curve (AUCs) of 0.81 and 0.797, respectively. Joint calibration and decision curve analyses (DCA) confirmed the nomogram’s good predictive performance and clinical utility.ConclusionIntegrating immunohistochemistry and muscle fat features provides a more accurate prediction of long-term survival in gastric cancer patients. This study offers new perspectives and methods for a deeper understanding of survival prediction in AGC.

F-Chain: personalized overall survival prediction based on incremental adaptive indicators and multi-source clinical records

F-Chain: personalized overall survival prediction based on incremental adaptive indicators and multi-source clinical records

Letter to the Editor: Are Current Survival Prediction Tools Useful When Treating Subsequent Skeletal-related Events From Bone Metastases?

Letter to the Editor: Are Current Survival Prediction Tools Useful When Treating Subsequent Skeletal-related Events From Bone Metastases?

Cerebrospinal fluid cytology: A theragnostic and prognostic tool- Experience from a tertiary cancer care centre in central India

: CSF examination is the gold standard for diagnosing leptomeningeal metastases. Malignant cells may access the subarachnoid space by hematogenous dissemination, spreading directly from parenchymal brain lesions, or spreading along the spinal cord or cranial nerves. Cytological detection of malignant cells in CSF is still a crucial decision point for systemic and intrathecal chemotherapy, and it has prognostic significance even with improvements in biochemical analysis and CNS imaging. Over the course of two years, a total of 397 patients—regardless of gender and age—were investigated. There were sixty-four cases with involvement of the central nervous system documented, comprising 42 hematologic malignancies and 22 solid tumors. Cell centrifugation (Cytospin) method were used to prepare smears and cell blocks where prepared, as feasible and indicated. : A cytological analysis of the cerebrospinal fluid showed that metastatic tumors were much more prevalent than primary central nervous system tumours. Lung tumors were the most frequent primary site in our analysis, with breast, gastrointestinal, and female genital tract malignancies following closely behind. CNS involvement has been reported in patients with Lymphoma (DLBCL) and Leukemia (most commonly ALL, but also AML and JMML) among hematological malignancies. Two cases of Retinoblastoma and one each of Medulloblastoma and an Atypical teratoid/rhabdoid tumor were observed in the pediatric age group.: Cerebrospinal fluid cytology is a simple and useful method, used as a primary diagnostic method in the evaluation of leptomeningeal metastases. This helps in the early detection of secondary CNS lesions and allows for timely intervention, prognosis, and prediction of overall survival.

The impact of tertiary lymphoid structures on tumor prognosis and the immune microenvironment in non-small cell lung cancer

Non-small cell lung cancer (NSCLC) is a common malignancy whose prognosis and treatment outcome are influenced by many factors. Some studies have found that tertiary lymphoid structures (TLSs) in cancer may contribute to prognosis and the prediction of immunotherapy efficacy However, the combined role of TLSs in NSCLC remains unclear. We accessed The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases to obtain mRNA sequencing data and clinical information as the TCGA cohort, and used our own sample of 53 advanced NSCLC as a study cohort. The samples were divided into TLS+ and TLS- groups by pathological tissue sections. Patients of the TLS+ group had a better OS (p = 0.022), PFS (p = 0.042), and DSS (p = 0.004) in the TCGA cohort, and the results were confirmed by the study cohort (PFS, p = 0.012). Furthermore, our result showed that the count and size of TLSs are closely associated with the efficacy of immunotherapy. In addition, the TLS+ group was associated with better immune status and lower tumor mutation load. In the tumor microenvironment (TME), the expression levels of CD4+ T cells and CD8+ T cells of different phenotypes were associated with TLSs. Overall, TLSs are a strong predictor of survival and immunotherapeutic efficacy in advanced NSCLC, and T cell-rich TLSs suggest a more ordered and active immune response site, which aids in the decision-making and application of immunotherapy in the clinic.

Time Changes of Survival and Cardiovascular Determinants in a Cohort of Middle-Aged Men Followed Up for 61 Years until Extinction

Objective: To study possible determinants of longevity in a cohort of middle-aged men followed for 61 years until extinction using measurements taken at baseline and at years 31 or 61 of follow-up. Material and Methods: In 1960, two rural cohorts including a total of 1712 men aged 40–59 years were enrolled within the Italian section of the Seven Countries Study of Cardiovascular Diseases, and measurements related to mainly cardiovascular risk factors, lifestyle behaviors, and chronic diseases were taken at year 0 and year 31 of follow-up (when only 390 could be examined). Multiple linear regression models were computed to relate personal characteristics with the length of survival in both dead men and survivors. Results: Baseline cardiovascular risk factors, smoking and dietary habits, and chronic diseases (taken at year 0 with men aged 40–59 years) were significant predictors of the length of survival both from year 0 to year 31 and from year 0 to year 61, but only chronic diseases were independent predictors for the period of 31 to 61 years. Significant predictors of survival using measurements taken at year 31 (age range 71 to 90 years) were only smoking and dietary habits and chronic diseases. Conclusions: During a lifetime of follow-up, the personal characteristics with continuous predictive power of survival were only lifestyle behaviors and major chronic diseases.

On-treatment decline in MELD score predicts one-month transplant-free survival in rodenticidal hepatotoxicity patients treated with low-volume plasma exchange.

Plasma exchange (PLEX) improves survival in patients with rodenticidal hepatotoxicity. However, predictors of treatment response are unknown. We aimed at assessing predictors of response to PLEX treatment in these patients. Patients with rodenticidal hepatotoxicity from 2014 to 2023 managed in our department were included in this study. Kochi criteria (model for end-stage liver disease [MELD] score 36 or international normalized ratio [INR] 6 with hepatic encephalopathy[HE]) derived specifically for rodenticidal hepatotoxicity (PubMed IDentifier [PMID]: 26310868) were used to assess need for liver transplantation. We analyzed predictors of survival at onemonth. ∆Bilirubin, ∆MELD score and ∆INR were calculated as percentage change of the parameter after third PLEX session (or after last PLEX if < 3 PLEX sessions done) from baseline pre-PLEX value. Of 200 patients with rodenticidal hepatotoxicity, 114 patients were treated with low-volume PLEX (PLEX-LV). No patient had liver transplantation. Of 78 patients who fulfilled Kochi criteria, 32 patients were PLEX-LV eligible and underwent PLEX-LV (M: 10; age: 20.5, 7-70years; median, range; acute liver failure: 24). Twenty-two (69%; acute liver failure: 14) of the 32 patients were alive at onemonth. Presence of HE (p = 0.03) and ∆MELD (p < 0.001) were significant predictors on univariate analysis, while ∆MELD (aOR = 0.88, 95% CI: 0.79-0.98, p = 0.01) was the only significant independentpredictor of one-month transplant-free survival. Area under receiver operating characteristic (ROC) for ∆MELD was 0.93 (95% CI:0.85-1.00) and a decrease of 20% in MELD score while on PLEX-LV had 90% sensitivity and 90% specificity in predicting one-month survival. Decline in MELD while on PLEX-LV independently predicted one-month transplant-free survival in rodenticidal hepatotoxicity patients. This may help guide decision on stopping PLEX-LV in patients predicted to respond to treatment and to consider alternate treatment options in non-responders.

Prognostic value of serial (1,3)-β-d-glucan measurements in ICU patients with invasive candidiasis

BackgroundTo determine whether a decrease in serum (1,3)-β-d-glucan (BDG) was associated with reduced mortality and to investigate the performance of BDG downslope in predicting clinical outcome in invasive candidiasis.MethodsObservational cohort study in ICU patients over a ten-year period (2012–2022) in Italy. Proven invasive candidiasis with at least 2 BDG determinations were considered.ResultsIn the study population of 103 patients (age 47 [35–62] years, SAPS II score 67 [52–77]) 68 bloodstream and 35 intrabdominal infections were recorded. Serial measurements showed that in 54 patients BDG decreased over time (BDG downslope group) while in 49 did not (N-BDG downslope group). Candida albicans was the pathogen most frequently isolated (61%) followed by C. parapsilosis (17%) and C. glabrata (12%), in absence of any inter-group difference. Invasive candidiasis related mortality was lower in BDG downslope than in N-BDG downslope group (17% vs 53%, p < 0.01). The multivariate Cox regression analysis showed the association of septic shock at infection occurrence and chronic liver disease with invasive candidiasis mortality (HR [95% CI] 3.24 [1.25–8.44] p = 0.02 and 7.27 [2.33–22.66] p < 0.01, respectively) while a BDG downslope was the only predictor of survival (HR [95% CI] 0.19 [0.09–0.43] p < 0.01). The area under the receiver operator characteristic curve for the performance of BDG downslope as predictor of good clinical outcome was 0.74 (p = 0.02) and our model showed that a BDG downslope > 70% predicted survival with both specificity and positive predictive value of 100%.ConclusionsA decrease in serum BDG was associated with reduced mortality and a steep downslope predicted survival with high specificity in invasive candidiasis.

Clinical predictors and outcomes of ST-elevation myocardial infarction related cardiogenic shock in the Asian population

BackgroundCardiogenic shock (CS) complicating myocardial infarction is associated with poor outcomes. Data among Asian populations are scarce. We aimed to investigate the long-term outcomes, prognostic factors, and predictors of CS among Asian ST elevation myocardial infarction (STEMI) patients. MethodsThis was a retrospective cohort study of consecutive patients undergoing primary percutaneous coronary intervention (PPCI) for STEMI within our regional STEMI network between 2015 and 2019. The long-term outcomes of those with and without CS were compared. Clinical predictors of outcomes and development of CS were investigated. ResultsA total of 1791 patients who underwent PPCI were included. Patients completed at least 2 years’ follow-up with a median follow-up period of 2.6 years (IQR 1.0, 3,9). Overall, 208/1791 (11.6 %) STEMI patients developed CS. These patients were older (61.1 ± 12.5 vs 57.8 ± 12.2, P < 0.001) and mostly men (87.0 %). All-cause mortality (59.9 % vs 4.7 % P < 0.001), cardiac mortality (43.8 % vs 2.2 %, P < 0.001) and major adverse cardiovascular events (MACE) was significantly higher in the CS group (59.1 % vs 14.0 %, P < 0.001). Independent predictors of survival were higher index LVEF (adjusted hazards ratio [aHR] 0.967, 95 %CI 0.951–0.984, p < 0.001) and higher arterial pH at onset of shock (aHR 0.750, 0.626–0.897, p = 0.002). Increased serum lactate concentration independently predicts poor prognosis (aHR 1.084, 95 % CI 1.046–1.124, p < 0.001). ConclusionIn Asian STEMI patients who underwent PPCI, CS was associated with poor outcomes. Higher LVEF on index admission was associated with better outcomes; while lactic acidosis independently predicted mortality.

Predicting Survival in Patients with Advanced NSCLC Treated with Atezolizumab Using Pre- and on-Treatment Prognostic Biomarkers.

Existing survival prediction models rely only on baseline or tumor kinetics data and lack machine learning integration. We introduce a novel kinetics-machine learning (kML) model that integrates baseline markers, tumor kinetics, and four on-treatment simple blood markers (albumin, C-reactive protein, lactate dehydrogenase, and neutrophils). Developed for immune-checkpoint inhibition (ICI) in non-small cell lung cancer on three phase II trials (533 patients), kML was validated on the two arms of a phase III trial (ICI and chemotherapy, 377 and 354 patients). It outperformed the current state-of-the-art for individual predictions with a test set C-index of 0.790, 12-months survival accuracy of 78.7% and hazard ratio of 25.2 (95% CI: 10.4-61.3, P < 0.0001) to identify long-term survivors. Critically, kML predicted the success of the phase III trial using only 25 weeks of on-study data (predicted HR = 0.814 (0.64-0.994) vs. final study HR = 0.778 (0.65-0.931)). Modeling on-treatment blood markers combined with predictive machine learning constitutes a valuable approach to support personalized medicine and drug development. The code is publicly available at https://gitlab.inria.fr/benzekry/nlml_onco.

Role of artificial intelligence applied to ultrasound in gynecology oncology: A systematic review.

The aim of this paper was to explore the role of artificial intelligence (AI) applied to ultrasound imaging in gynecology oncology. Web of Science, PubMed, and Scopus databases were searched. All studies were imported to RAYYAN QCRI software. The overall quality of the included studies was assessed using QUADAS-AI tool. Fifty studies were included, of these 37/50 (74.0%) on ovarian masses or ovarian cancer, 5/50 (10.0%) on endometrial cancer, 5/50 (10.0%) on cervical cancer, and 3/50 (6.0%) on other malignancies. Most studies were at high risk of bias for subject selection (i.e., sample size, source, or scanner model were not specified; data were not derived from open-source datasets; imaging preprocessing was not performed) and index test (AI models was not externally validated) and at low risk of bias for reference standard (i.e., the reference standard correctly classified the target condition) and workflow (i.e., the time between index test and reference standard was reasonable). Most studies presented machine learning models (33/50, 66.0%) for the diagnosis and histopathological correlation of ovarian masses, while others focused on automatic segmentation, reproducibility of radiomics features, improvement of image quality, prediction of therapy resistance, progression-free survival, and genetic mutation. The current evidence supports the role of AI as a complementary clinical and research tool in diagnosis, patient stratification, and prediction of histopathological correlation in gynecological malignancies. For example, the high performance of AI models to discriminate between benign and malignant ovarian masses or to predict their specific histology can improve the diagnostic accuracy of imaging methods.

Aetiology and predictors of outcome in non-shockable in-hospital cardiac arrest: A retrospective cohort study from the Swedish Registry for Cardiopulmonary Resuscitation.

Non-shockable in-hospital cardiac arrest (IHCA) is a condition with diverse aetiology, predictive factors, and outcome. This study aimed to compare IHCA with initial asystole or pulseless electrical activity (PEA), focusing specifically on their aetiologies and the significance of predictive factors. Using the Swedish Registry of Cardiopulmonary Resuscitation, adult non-shockable IHCA cases from 2018 to 2022 (n = 5788) were analysed. Exposure was initial rhythm, while survival to hospital discharge was the primary outcome. A random forest model with 28 variables was used to generate permutation-based variable importance for outcome prediction. Overall, 60% of patients (n = 3486) were male and the median age was 75 years (IQR 67-81). The most frequent arrest location (46%) was on general wards. Comorbidities were present in 79% of cases and the most prevalent comorbidity was heart failure (33%). Initial rhythm was PEA in 47% (n = 2702) of patients, and asystole in 53% (n = 3086). The most frequent aetiologies in both PEA and asystole were cardiac ischemia (24% vs. 19%, absolute difference [AD]: 5.4%; 95% confidence interval [CI] 3.0% to 7.7%), and respiratory failure (14% vs. 13%, no significant difference). Survival was higher in asystole (24%) than in PEA (17%) (AD: 7.3%; 95% CI 5.2% to 9.4%). Cardiopulmonary resuscitation (CPR) durations were longer in PEA, 18 vs 15 min (AD 4.9 min, 95% CI 4.0-5.9 min). The duration of CPR was the single most important predictor of survival across all subgroup and sensitivity analyses. Aetiology ranked as the second most important predictor in most analyses, except in the asystole subgroup where responsiveness at cardiac arrest team arrival took precedence. In this nationwide registry study of non-shockable IHCA comparing asystole to PEA, cardiac ischemia and respiratory failure were the predominant aetiologies. Duration of CPR was the most important predictor of survival, followed by aetiology. Asystole was associated with higher survival compared to PEA, possibly due to shorter CPR durations and a larger proportion of reversible aetiologies.

The relationship between Stroma AReactive Invasion Front Areas (SARIFA), Warburg-subtype and survival: results from a large prospective series of colorectal cancer patients

BackgroundStroma AReactive Invasion Front Areas (SARIFA) is a recently identified haematoxylin & eosin (H&E)based histopathologic biomarker in gastrointestinal cancers, including colorectal cancer (CRC), defined as direct contact between tumour cells and adipocytes at the tumour invasion front. The current study aimed at validating the prognostic relevance of SARIFA in a large population-based CRC series as well as at investigating the relationship between SARIFA-status and previously established Warburg-subtypes, both surrogates of the metabolic state of the tumour cells.MethodsSARIFA-status (positive versus negative) was determined on H&E slides of 1,727 CRC specimens. Warburg-subtype (high versus moderate versus low) data was available from our previous study. The associations between SARIFA-status, Warburg-subtype, clinicopathological characteristics and CRC-specific as well as overall survival were investigated.Results28.7% (n=496) CRC were SARIFA-positive. SARIFA-positivity was associated with more advanced disease stage, higher pT category, and more frequent lymph node involvement (all p<0.001). SARIFA-positivity was more common in Warburg-high CRC. 44.2% (n=219) of SARIFA-positive CRCs were Warburg-high compared to 22.8% (n=113) being Warburg-low and 33.1% (n=164) being Warburg-moderate (p<0.001). In multivariable-adjusted analysis, patients with SARIFA-positive CRCs had significantly poorer CRC-specific (HRCRC-specific 1.65; 95% CI 1.41-1.93) and overall survival (HRoverall survival 1.46; 95% CI 1.28-1.67) independent of clinically known risk factors and independent of Warburg-subtype. Combining the SARIFA-status and the Warburg-subtype to a combination score (SARIFA-negative/Warburg-high versus SARIFA-positive/Warburg-low versus SARIFA-positive/Warburg-high, and so on) did not improve the survival prediction compared to the use of SARIFA-status alone (SARIFA-negative + Warburg-high: HRCRC-specific 1.08; 95% CI 0.84-1.38; SARIFA-positive + Warburg-low: HRCRC-specific 1.79; 95% CI 1.32-2.41; SARIFA-positive + Warburg-high: HRCRC-specific 1.58; 95% CI 1.23-2.04).ConclusionsOur current study is the by far largest external validation of SARIFA-positivity as a novel independent negative prognostic H&E-based biomarker in CRC. In addition, our study shows that SARIFA-positivity is associated with the Warburg-high subtype. Further research is warranted to provide a more mechanistic understanding of the underlying tumour biology. Based on our data, we conclude SARIFA-status should be implemented in pathologic routine practice to stratify CRC patients.

Prognostic value of inflammatory markers NLR, PLR, and LMR in gastric cancer patients treated with immune checkpoint inhibitors: a meta-analysis and systematic review

BackgroundImmune checkpoint inhibitors (ICIs) represent a groundbreaking approach to cancer therapy. Inflammatory markers such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) have emerged as potential indicators strongly associated with tumor prognosis, albeit their prognostic significance remains contentious. The predictive value of NLR, PLR, LMR in patients with gastric cancer (GC) treated with ICIs has not been fully explored; therefore, we conducted a meta-analysis to examine the potential of inflammatory markers NLR, PLR, and LMR as survival predictors in this population.MethodsA comprehensive search was conducted across PubMed, Embase, Web of Science, and Cochrane databases, with the search cut-off date set as March 2024. Hazard ratios (HR) and their corresponding 95% confidence intervals (CI) were calculated to assess the prognostic significance of NLR, PLR, and LMR for both progression-free survival (PFS) and overall survival (OS).ResultsFifteen cohort studies involving 1336 gastric cancer patients were finally included in this meta-analysis. The results of the meta-analysis showed that high levels of NLR were associated with poorer OS and PFS in GC patients receiving ICIs, with combined HRs of OS [HR=2.01, 95%CI (1.72,2.34), P&amp;lt;0.01], and PFS PFS[HR=1.59, 95%CI (1.37,1.86), P&amp;lt;0.01], respectively; high levels of PLR were associated with poorer OS and PFS, and the combined HR was OS [HR=1.57, 95%CI (1.25,1.96), P&amp;lt;0.01], PFS [HR=1.52,95%CI (1.20, 1.94), P&amp;lt;0.01], respectively; and there was an association between elevated LMR and prolonged OS and PFS, and the combined HR was OS [HR=0.62, 95%CI (0.47,0.81), P&amp;lt;0.01], and PFS [HR=0.69, 95%CI (0.50,0.95), P&amp;lt;0.01].ConclusionIn gastric cancer (GC) patients treated with immune checkpoint inhibitors (ICIs), elevated neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were associated with poorer overall survival (OS) and progression-free survival (PFS), while high lymphocyte-to-monocyte ratio (LMR) was linked to improved OS and PFS. Subgroup analyses suggested that NLR might be particularly pertinent to the prognosis of GC patients. In conclusion, the inflammatory markers NLR, PLR, and LMR serve as effective biomarkers for prognostic assessment in GC patients, offering valuable insights for therapeutic decision-making in the realm of GC immunotherapy. Prospective studies of high quality are eagerly awaited to validate these findings in the future.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/#myprospero, identifier CRD42024524321.

A nomogram-based predictive model for tooth survival in Chinese patients with periodontitis: An 11-year retrospective cohort study.

To develop a nomogram-based predictive model of tooth survival by comprehensively analysing clinical and radiographic risk factors of tooth loss (TL). In this study, 3447 teeth of 131 subjects who underwent non-surgical periodontal treatment were examined retrospectively within a mean follow-up period of 11.6 years. The association of risk factors including clinical and radiographic parameters with TL was assessed using univariate and multivariate Cox regression analyses. A nomogram-based predictive model was developed, and its validation and discriminatory ability were analysed. In all, 313 teeth were lost in 94 patients in this study (overall tooth loss [OTL] 9.08%; 0.21 teeth/patient/year). Male, heavy smoking, molar teeth, probing depth (PD), attachment loss (AL), tooth mobility and radiographic bone loss were significantly associated with TL (p < .05). A gradient effect of tooth mobility on TL increased from degree I to III versus none (p < .0001). The area under the curve (AUC) of the model was 0.865. Calibration curve and decision curve analysis demonstrated good performance and high net benefit, respectively. Adopting a specific nomogram could facilitate the prediction of tooth survival and the development of tailored treatment plans in Chinese patients with advanced periodontitis.