Cancer-specific Survival Research Articles

Predictive value of prognostic nutritional index in patients undergoing gastrectomy for gastric cancer: A systematic review and meta-analysis.

The value of prognostic nutritional index (PNI) in gastrectomy remains controversial. This meta-analysis aimed to evaluate the predictive value of PNI in patients undergoing gastrectomy for malignancy. We retrieved studies from medical literature databases to analyze the endpoints of overall survival, cancer-specific survival, recurrence-free survival, and clinicopathologic features. The hazard ratio (HR) and 95% confidence interval (CI) were used to access the survival prognostic value of PNI in patients after gastrectomy. Odds ratio and mean difference were used to evaluate the relationship between the low PNI and clinicopathologic features. In total, we included 38 articles (39 trial comparisons) which contained 23,756 gastrectomy patients. The results showed that low PNI was associated with shorter overall survival (HR: 1.82, 95% CI 1.62-2.03), shorter cancer-specific survival (HR: 1.44, 95% CI 1.24-1.67), and shorter recurrence-free survival (HR: 2.52, 95% CI 1.41-4.47). Besides, patients with low PNI had a higher risk of postoperative complications compared with high PNI (HR: 1.65, 95% CI 1.30-2.09). And low PNI group was found to be related to older, lower BMI, larger tumor size, deeper tumor invasion, poorer differentiation, more advanced tumor stage, total gastrectomy, and the presence of lymph node metastasis, lymphatic invasion, and vessel invasion. PNI was significantly associated with survival and postoperative complications of gastric cancer patients undergoing gastrectomy. Therefore PNI has the potential to be a prognostic predictor for gastrectomy.

Development and validation of nomogram for predicting the cancer-specific survival among patients aged 80 and above with early-stage non-small cell lung cancer.

The use of nomograms in predicting the prognosis of early-stage non-small cell lung cancer (NSCLC), particularly in elderly patients, is not widespread. A validated prognostic model specifically for NSCLC patients over 80 years old holds promising potential for clinical application in forecasting patient outcomes. The prognostic value of various factors for NSCLC patients aged 80 and above was evaluated using data from the Surveillance, Epidemiology, and End Results (SEER) database (2010-2017). Kaplan-Meier (KM) curves, Cox proportional hazards regression models, and nomogram were utilized to evaluate the impact of each factor on cancer-specific survival (CSS). A cohort comprising 7045 individuals was selected for inclusion in the analysis. Through rigorous statistical analysis, 10 independent prognostic factors were identified and incorporated into the nomogram. The nomogram's receiver operating characteristic (ROC) curve area under the curve (AUC) was higher than that of the AJCC 7th edition TNM staging system's predicted CSS (0.744 versus 0.602), establishing the superior prognostic value of the nomogram. We have successfully created a highly accurate and discriminative nomogram that enables oncologists to predict the survival outcome of each individual patient with I/II NSCLC who is 80 years or older.

P16 status or response to induction chemotherapy, which predicts survival outcomes in Chinese oropharyngeal cancer treated with definitive radiotherapy?

PurposeTo identify whether p16 status or response to induction chemotherapy (IC) predicts the radiotherapy (RT) response and survival outcomes in Chinese oropharyngeal squamous cell carcinoma (OPSCC). MethodsA total of 211 patients, including 128 p16-positive and 83 p16-negative were analyzed. All patients underwent IC followed by definitive RT or concurrent chemoradiotherapy (CCRT). Propensity score matching (PSM) was used to eliminate the baseline variations. ResultsAge, sex, smoking history, alcohol history, and primary site were unbalanced between different p16 status subgroups. Before PSM, the objective response rates to IC between p16-positive and p16-negative groups were 80.5 % and 85.5 % (p = 0.344). After RT, the complete response (CR) rates were 73.4 % and 66.3 %, respectively (p = 0.264). IC-sensitive (IC-s) subgroups had a higher percentage of RT-CR rate than the IC-resistant (IC-r) subgroups in both p16-positive and p16-negative patients. IC-s showed significant improvement in cancer-specific survival (CSS) (92.9 % vs. 53.6 %, p < 0.0001), progression-free survival (PFS) (p < 0.0001), locoregional relapse-free survival (LRFS) (p < 0.0001) and distant metastasis-free survival (DMFS) (p = 0.025). After PSM, the CR rates among different p16 groups remained comparable following RT (71.2 % vs. 65.8 %, p = 0.476). Before or after PSM, CSS, PFS, LRFS, and DMFS were similar between different p16 status either in IC-s or IC-r subgroups (p > 0.05). IC-r was independently associated with shorter PFS (HR = 2.661, p = 0.002) and LRFS (HR = 2.876, p = 0.002; HR = 2.78, p = 0.018). ConclusionsResponse to IC is an important predictor of prognosis in Chinese OPSCC treated with definitive RT. Poor response to IC is associated with unsatisfactory outcomes either in p16-positive or p16-negative OPSCC.

DIFFERENTIAL TREATMENT EFFECTS OF STANDARD AND HYPOFRACTIONATED RADIATION REGIMENS IN GLIOBLASTOMA PATIENTS.

The identification of the subgroups with differential treatment effects (DTE) is important for decisionmaking in personalized treatment. The DTE analysis assists in identifying patients who are more likely to benefit from a particular treatment regimen. The aim of the study was to analyze DTE in terms of the survival of glioblastoma (GBM) patients in the groups of standard radiotherapy (SRT) and hypofractionated radiotherapy (HRT) by the multicluster modeling of homogenous groups while retaining the statistical characteristics of the overall primary study cohort. The cohort of 159 patients with newly diagnosed GBM stratified according to the radiotherapy regimen (HRT group (n = 110/69.2%); SRT group (n = 49/30.8%)) was evaluated retrospectively. Forty-eight subgroups (multiclusters) were created by enumerating all possible combinations of 5 significant covariates (age, sex, the radicality of the surgical resection, chemotherapy, and Karnofsky performance status) of the Cox model. The DTE for the cancerspecific survival (CSS) within 48 modeled multiclusters were studied by comparing the interpolated Weibull CSS curves according to the Kolmogorov - Smirnov test. The findings showed that the SRT group was superior to the HRT group by CSS only in 3 of the modeled clusters presenting clinical scenarios with a non-radical tumor resection, no chemotherapy, and low Karnofsky functional status (≤ 70 scores) (Cluster 10: male aged < 60; Cluster 21: female aged ≥ 60; Cluster 22: male aged ≥ 60). Most of the studied clinical variants (45 of 48 multiclusters) did not demonstrate a significant difference when comparing the interpolated Weibull curves of the CSS for the SRT and HRT groups according to the Kolmogorov - Smirnov test (p ≥ 0.05). We propose a novel multicluster modeling approach that addresses DTE in relatively small samples of GBM patients receiving SRT or HRT. This original analytical method can be taken into consideration while designing new well-powered prospective trials aimed at the subgroup analysis in GBM patients who will be most beneficial from personalized treatment strategies.

Examination of Sarcopenia with Obesity as a Prognostic Factor in Patients with Colorectal Cancer Using the Psoas Muscle Mass Index

Background: Sarcopenia, the age-related loss of muscle mass, is a negative prognostic factor in gastrointestinal cancer. Sarcopenia combined with visceral obesity (sarcopenic obesity) is associated with poor outcomes. We explored the influence of obesity and other factors on the prognosis of patients with colorectal cancer diagnosed with sarcopenia. Methods: We enrolled 211 patients with colorectal cancer diagnosed with preoperative sarcopenic obesity who underwent radical resection at Osaka University Hospital between January 2009 and January 2012. Muscle mass was assessed using the psoas muscle mass index. Obesity was evaluated by measuring the visceral fat area in the umbilical region. Patients were categorized into two groups: sarcopenia with obesity (SO) and sarcopenia without obesity (non-SO). Overall survival, cancer-specific survival, and cancer-related relapse-free survival (CRRFS) were compared between the two groups. Patient characteristics, including age, sex, body mass index, serum albumin, C-reactive protein, tumor markers, prognostic nutritional index (PNI), modified Glasgow prognostic score (mGPS), and geriatric nutritional risk index (GNRI), were also analyzed. Results: CRRFS was significantly shorter in the SO group than in the non-SO group (p = 0.028). PNI, mGPS, and GNRI were not identified as significant prognostic factors for CRRFS. Multivariate analysis highlighted sarcopenic obesity, elevated carcinoembryonic antigen levels, and unfavorable histological types as significant predictors of poor CRRFS outcomes. Conclusions: Sarcopenic obesity is an independent predictor of poor prognosis in patients with CRC. Thus, interventions aimed at increasing muscle mass and reducing visceral fat could potentially improve the prognosis of these patients.

Creating an interactive database for nasopharyngeal carcinoma management: applying machine learning to evaluate metastasis and survival.

Nasopharyngeal carcinoma (NPC) patients frequently present with distant metastasis (DM), which is typically associated with poor prognosis. This study aims to develop and apply machine learning models to predict DM, overall survival (OS), and cancer-specific survival (CSS) in NPC patients to provide optimal tools for improved predictive accuracy and performance. We retrieved over 8,000 NPC patient samples with associated clinical information from the Surveillance, Epidemiology, and End Results (SEER) database. Utilizing two methods for handling missing values-imputation or deletion-we created various cohorts: DM-all, DM-slim, OS-all, OS-slim, CSS-all, and CSS-slim. Five machine learning models were deployed for the binary classification task of DM, and their performance was evaluated using the area under the curve (AUC). For the survival prediction tasks of OS and CSS, we constructed 45 combinations using nine survival machine learning algorithms. The Concordance Index (C-index), 5-year AUC, and Brier score assessed model accuracy. Patients were stratified into two risk groups for survival analysis, and the survival curves were presented. This study examines the relationships between clinical factors and survival in NPC patients. The analysis, visualized through forest plots, indicates that demographic and clinical variables like gender, marital status, tumor grade, and stage significantly affect metastatic risks and survival. Specifically, factors such as advanced stages increase metastasis and survival risks, while enhanced treatments improve survival rates. In the cohort for DM prediction, results revealed that the random forest model was the most effective, with an AUC of 0.687. In contrast, when predicting overall survival (OS), the random survival forest (RSF) model consistently showed superior performance with the highest mean C-index of 0.802, a 5-year AUC of 0.857, and a Brier score of 0.167. Similarly, for cancer-specific survival (CSS) prediction, the RSF model demonstrated a mean C-index of 0.822, a 5-year AUC of 0.884, and a Brier score of 0.165. An online Shiny server was developed to allow the models to be used freely and efficiently via http://npcml.shinyapps.io/NPCpre. This study successfully established an online tool by machine learning models for NPC metastasis and survival prediction, providing valuable references for clinicians.

Establishment and Validation of Prognostic Nomograms for Nonmetastatic Melanoma of the Limbs—A SEER-Based Study

Background Malignant melanoma, a highly aggressive skin cancer, has remarkable incidence and mortality nowadays. This study aims to explore prognostic factors associated with nonmetastatic cutaneous melanoma of the limbs and to develop nomograms for predicting overall survival (OS) and cancer-specific survival (CSS). Methods The study cohort was derived from the Surveillance, Epidemiology, and End Results database. Univariate Cox regression, Lasso regression, and multivariate Cox regression analyses were conducted to identify prognostic factors and construct nomograms. The receiver operating characteristic (ROC) curve, time-dependent C-index, calibration curve, decision curve analysis (DCA) and Kaplan-Meier method were used to evaluate the accuracy and clinical applicability of the nomograms. Results A total of 15,606 patients were enrolled. Multivariate analysis identified several prognostic factors for OS and CSS including age, sex, histologic type, N stage, tumor thickness, depth of invasion, mitotic rate, ulceration, surgery of primary site, systemic therapy, race, and number of lymph nodes examined. A nomogram incorporating 12 independent predictors for OS was developed, with a C-index of 0.866 (95% confidence interval [CI]: 0.858–0.874) in the training cohort and 0.853 (95% CI: 0.839–0.867) in validation. For CSS, 10 independent predictors and one related factor were included, yielding a C-index of 0.913 (95% CI: 0.903–0.923) in the training cohort and 0.922 (95% CI: 0.908–0.936) in validation. The ROC curve, time-dependent C-index, calibration curve, DCA, and K-M plot demonstrated favorable discrimination, calibration, and clinical utility. Conclusion The developed nomograms provide a precise and personalized predictive tool for risk management of patients with nonmetastatic limb melanoma.

Assessment of Radiotherapy as a Standalone Treatment Following Neoadjuvant Chemotherapy in Nonmetastatic Breast Cancer: A SEER Database Analysis.

Traditional breast cancer management involves surgery followed by systemic therapies. However, advancements in neoadjuvant chemotherapy (NACT) raise questions about the necessity of surgery in cases with an excellent response to NACT. This study investigates the outcomes of radiotherapy without surgery in selected patients with nonmetastatic breast cancer after a complete or substantial response to NACT. A retrospective study was conducted using the SEER database, reviewing records from 2010 to 2020 for patients with nonmetastatic breast cancer who received NACT, associated with a clinical response, followed by radiotherapy alone. The population included 123 patients, stratified into complete clinical response (cCR) and non-cCR (partial or unspecified clinical response) cohorts. Overall survival (OS) and cancer-specific survival (CSS) were analyzed using Kaplan-Meier and Cox proportional hazards models. The median follow-up was 41 months. Among the patients, 17 (13.82%) achieved cCR. The 5-year OS and CSS for the entire cohort were 65.8% and 71%, respectively, with the cCR group achieving 100% rates for both. Age above 60 and larger tumor size (T3 to T4) were associated with lower OS. The non-cCR group showed a 5-year OS of 61.5% and CSS of 67.1%. This study indicates that omitting surgery in patients with a cCR to NACT may be feasible, as evidenced by this subgroup's 100% OS and CSS rates at 5 and 10 years. These promising results support further research into less invasive breast cancer management. However, prospective studies must validate these findings and identify suitable patients for nonsurgical approaches.

Tumor microenvironment characteristics association with clinical outcome in patients with resected intestinal-type gastric cancer.

Tumor microenvironment (TME) characteristics including tumor stroma ratio (TSR), tumor budding (TB), and tumor-infiltrating lymphocytes (TILs) were examined in resected gastric cancer. These TME features have been shown to indicate metastatic potential in colon cancer, and intestinal-type gastric cancer (IGC) has pathological similarities with that malignancy. TSR, TB, and TILs were quantified in routine histological sections from 493 patients with IGC who underwent radical resection at 2 university hospitals in China from 2010 to 2016. TME variables were dichotomized as follows: TSR (50%), TILs (median), TB per international guidelines (4 buds/0.785mm2), and platelet-lymphocyte ratio (PLR) per survival ROC. Association of TME features with patient clinicopathological characteristics, time-to-recurrence (TTR), and cancer-specific-survival (CSS) were examined using univariate and multivariate analysis, including a relative contribution analysis by Cox regression. Patients whose tumors showed high TSR or high TB or low TILs were each significantly associated with increased T and N stage, higher histological grade, and poorer TTR and CSS at 5 years. Only TSR and N stage were independently associated with TTR and CSS after adjustment for covariates. PLR was only independently associated with TTR after adjustment for covariates. Among the variables examined, only TSR was significantly associated with both TTR (HR 1.72, 95% CI, 1.14-2.60, P = .01) and CSS (HR 1.62, 95% CI, 1.05-2.51, P = .03) multivariately. Relative contribution to TTR revealed that the top 3 contributors were N stage (45.1%), TSR (22.5%), and PLR (12.9%), while the top 3 contributors to CSS were N stage (59.9%), TSR (14.7%), and PLR (10.9%). Among the examined TME features, TSR was the most robust for prognostication and was significantly associated with both TTR and CSS. Furthermore, the relative contribution of TSR to patient TTR and CSS was second only to nodal status.

Benefit of Whole-Pelvis Radiation for Patients With Muscle-Invasive Bladder Cancer: An Inverse Probability Treatment Weighted Analysis.

The value of pelvic lymph node irradiation is debated for patients with muscle-invasive bladder cancer (MIBC) undergoing curative-intent radiation therapy (RT). We sought to compare the oncological outcomes between bladder-only (BO)-RT and whole-pelvis (WP)-RT using a large Canadian multicenter collaborative database. The study cohort consisted of 809 patients with MIBC (cT2-4aN0-2M0) who underwent curative RT at academic centers across Canada. Patients were divided into two groups on the basis of the RT volume: WP-RT versus BO-RT. Inverse probability of treatment weighting (IPTW) and absolute standardized differences (ASDs) were used to balance covariates across treatment groups. Regression models were used to assess the effect of the RT volume on the rates of complete response (CR), cancer-specific survival (CSS), and overall survival (OS). After exclusion criteria, 599 patients were included, of whom 369 (61.6%) underwent WP-RT. Patients receiving WP-RT were younger (ASD, 0.41) and more likely to have an Eastern Cooperative Oncology Group performance status of 0-1 (ASD, 0.21), clinical node-positive disease (ASD, 0.40), and lymphovascular invasion (ASD, 0.25). In addition, WP-RT patients were more commonly treated with neoadjuvant chemotherapy (ASD, 0.29) and concurrent chemotherapy (ASD, 0.44). In the IPTW cohort, BO-RT and WP-RT groups were well balanced (all pretreatment parameters with an ASD <0.10). In multivariable analysis, WP-RT was not associated with CR rates post-RT (odds ratio, 1.14 [95 CI, 0.76 to 1.72]; P = .526) but was associated with both CSS (hazard ratio [HR], 0.66 [95% CI, 0.47 to 0.93]; P = .016) and OS (HR, 0.68 [95% CI, 0.54 to 0.87]; P = .002), independent of other prognostic factors. Our study demonstrated that WP radiation was associated with better survival compared with bladder radiation alone after adjusted analysis. Additional randomized controlled trials are needed to confirm our findings.

The impact of non-structured PSA testing on prostate cancer-specific mortality on New Zealand Māori men

ObjectivesTo assess the impact of differences in Prostate-Specific Antigen (PSA) testing rates on prostate cancer (PCa) diagnosis and PCa-specific mortality among Māori men in a New Zealand (NZ) population.Patients and MethodsMāori men aged 40 years or older, without a history of PCa, with a PSA test between 2006 and 2018 were included. The cohort was divided into two groups; the “screened group” (ScG) consisting of men who had at least one PSA test every four years or less, and the “non-screened group” (non-SG). We measured the rate of cancer diagnoses and used competing risk analysis to assess survival.ResultsThe study cohort included 63,939 Māori men, with 37,048 (58%) in the ScG. PCa was more frequently diagnosed in the ScG (3.7% vs. 3.0%, P < 0.001). A higher proportion of high-grade cancers were found in the non-SG (32.7% vs. 25.6%, P = 0.001). The 10-year cancer-specific survival was significantly higher in the ScG (99.4% vs. 98.5%, P < 0.001). In a multivariable risk model, PSA testing frequency was an independent predictor of PCa mortality. (HR 2.43, [95% CI 1.97–3.01], P < 0.001).ConclusionsIn a cohort of only Māori men, lower PSA testing rates were associated with a higher risk of PCa-related death. Therefore, regular PSA testing for Māori could improve cancer-specific survival among Māori men. Regular PSA testing should be considered a priority area for improving PCa survival in this population.

Geometric characteristics of stromal collagen fibres in breast cancer using differential interference contrast microscopy.

Breast cancer (BC) is characterised by a high level of heterogeneity, which is influenced by the interaction of neoplastic cells with the tumour microenvironment. The diagnostic and prognostic role of the tumour stroma in BC remains to be defined. Differential interference contrast (DIC) microscopy is a label-free imaging technique well suited to visualise weak optical phase objects such as cells and tissue. This study aims to compare stromal collagen fibre characteristics between in situ and invasive breast tumours using DIC microscopy and investigate the prognostic value of collagen parameters in BC. A tissue microarray was generated from 200 cases, comprising ductal carcinoma in situ (DCIS; n=100) and invasive tumours (n=100) with an extra 50 (25 invasive BC and 25 DCIS) cases for validation was utilised. Two sections per case were used: one stained with haematoxylin and eosin (H&E) stain for histological review and one unstained for examination using DIC microscopy. Collagen fibre parameters including orientation angle, fibre alignment, fibre density, fibre width, fibre length and fibre straightness were measured. Collagen fibre density was higher in the stroma of invasive BC (161.68±11.2fibre/µm2) compared to DCIS (p<0.0001). The collagen fibres were thinner (13.78±1.08µm), straighter (0.96±0.006, on a scale of 0-1), more disorganised (95.07°±11.39°) and less aligned (0.20±0.09, on a 0-1 scale) in the invasive BC compared to DCIS (all p<0.0001). A model considering these features was developed that could distinguish between DCIS and invasive tumours with 94% accuracy. There were strong correlations between fibre characteristics and clinicopathological parameters in both groups. A statistically significant association between fibre characteristics and patients' outcomes (breast cancer specific survival, and recurrence free survival) was observed in the invasive group but not in DCIS. Although invasive BC and DCIS were both associated with stromal reaction, the structural features of collagen fibres were significantly different in the two disease stages. Analysis of the stroma fibre characteristics in the preoperative core biopsy specimen may help to differentiate pure DCIS from those associated with invasion.

Proton Pump Inhibitors Worsen Colorectal Cancer Outcomes in Patients Treated with Bevacizumab

Background: Approximately one-third of patients with advanced colorectal cancer (CRC) and treated with bevacizumab are prescribed proton pump inhibitors (PPIs) or H2 receptor antagonists (H2RAs). However, there is limited data on the effects of PPIs and H2RAs in these patients. To investigate the oncological outcomes of PPI and H2RA use in CRC patients treated with bevacizumab, we performed a retrospective cohort study using the Taiwan National Health Insurance Research Database and Taiwan Cancer Registry Database from 2005 to 2020. Methods: In CRC patients treated with bevacizumab, the PPI users and H2RA users were matched with patients without acid-reducing agents (ARAs) by 1:4 propensity score matching. PPI users and H2RA users were matched with propensity scoring in a 1:1 ratio. We divided patients into 4 cumulative PPI dosage levels to assess the dose–response relationship. The primary endpoints were 5-year overall survival and cancer-specific survival. Results: Compared with ARA non-users, both H2RA users and PPI users were associated with reduced overall survival. PPI users were associated with more significant negative effects on overall survival. Compared with H2RA users, PPI users were associated with lower 5-year overall survival (aHR: 1.19, 95% CI: 1.09–1.31) and cancer-specific survival (aHR: 1.20, 95% CI: 1.09–1.31). A similar dose–response relationship was observed for PPI users in terms of 5-year overall survival and cancer-specific overall survival. Conclusions: Compared to H2AR use, PPI use was associated with dose-dependent poorer oncological outcomes in metastatic CRC patients treated with bevacizumab.

Screening of prognostic factors and survival analysis based on histological type for perimenopausal endometrial carcinoma treated with hysterectomy

PurposeThis study aimed to explore the prognostic factors and survival patterns based on the histological type for the perimenopausal endometrial carcinoma (PIPEC) patients treated with hysterectomy.MethodsThe PIPEC patients were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Methods of random survival forest (RSF) and Cox regression were used to identify the possible prognostic factors of PIPEC patients. Then overall survival (OS) and cancer-specific survival (CSS) of PIPEC data were analyzed by histological types with regional lymph nodes status and SEER-stage to investigate the survival patterns of the PIPEC patients.ResultsA total of 14,178 PIPEC patients were included in the study. We found tumor size, grade, histology, SEER-stage, AJCC-stage, AJCC-T stage, metastasis to distant organs and regional lymph nodes status had a significant survival outcome for PIPEC both for OS and CSS (all p < 0.05). Regardless of regional lymph nodes status and SEER-stage for OS and CSS, the low-grade endometrioid carcinoma had the best prognosis outcome, followed by the mix cell adenocarcinoma and high-grade endometrioid carcinoma, while the carcinosarcoma and undifferentiated carcinoma had relatively poor prognosis outcome. And the survival patterns of different histological types of PIPEC were diverse and changed along with the time.ConclusionWe identified the possible prognostic factors of PIPEC patients treated with hysterectomy. And survival analysis based on the regional lymph nodes status and SEER-stage revealed the different histological types of PIPEC had diverse survival patterns, which will be helpful for guiding clinical practice.

Adaptation of a modified Elixhauser comorbidity index to isolate the impact of body mass index on survival outcomes in patients with cancer in a large integrated healthcare system.

124 Background: Variable impacts of body mass index (BMI) on overall survival (OS) and cancer-specific survival (CSS) have been described in patients with cancer, with existing data highlighting both detrimental effects and malignancy-specific benefits. Real-world data derived from integrated healthcare systems are underexplored in this context, and tight control of confounding using validated tools such as the Elixhauser Comorbidity Index (ECI) is rarely employed in pre-existing studies. Herein, we offer a highly refined description of the impact of BMI on cancer-specific outcomes in a large patient cohort using a targeted ECI model. Methods: 153,270 patient records were abstracted from an integrated healthcare system from 2010-2018, including descriptors of age, race/ethnicity, income, disease stage, and treatment regimens. Standardized derivation of BMI within one year prior to diagnosis was performed and categorized by World Health Organization definitions. A custom ECI was designed to exclude ICD codes for obesity to effectively isolate the impact of BMI on downstream analyses. Kaplan-Meier survival estimates of OS and CSS were constructed, and univariate and multivariate Cox proportional hazard (PH) modeling was performed to determine hazard ratios (HR). Results: When normalized to healthy BMI in multivariate modeling, we found a favorable dose-dependent relationship of overweight and obese BMI on OS and CSS independent of age, race/ethnicity, income, modified ECI score, cancer stage, or therapeutic regimen (Table). This advantage to OS and CSS was not as strongly reflected in severely obese patients, though still significant compared to healthy BMI counterparts. Being underweight was a negative prognostic indicator for OS and CSS in all patients compared to a healthy BMI. Conclusions: We demonstrate a beneficial impact of increased BMI on OS and CSS in a large cohort of patients treated in an integrated healthcare model independent of tightly controlled confounding. Specifically, we highlight the utility of isolating obesity using a targeted ECI model for comorbidity adjustment, which may provide a more robust measure of the influence of BMI on survival. Our findings raise questions regarding attention to adequate control of confounding in prior studies, as well as the potential benefit of removing variation in healthcare delivery in understanding these outcomes. Adjusted HR of OS and CSS stratified by BMI category (*95% Confidence Interval). BMI Category Adjusted OS Adjusted CSS Normal Weight(18.5 – 24.9) 1 (reference) 1 (reference) Underweight(&lt; 18.5) 1.35 (1.25 – 1.45*) 1.28 (1.15 – 1.41) Overweight(25 – 29.9) 0.83 (0.81 – 0.85) 0.84 (0.81 – 0.87) Obese(30 – 39.9) 0.81 (0.79 – 0.83) 0.81 (0.78 – 0.84) Severe Obesity(≥ 40) 0.86 (0.82 – 0.90) 0.82 (0.77 – 0.87) Unknown 1.33 (1.24 – 1.43) 1.19 (1.07 – 1.31)

Clinical outcomes analysis of image-guided brachytherapy as definitive treatment for inoperable endometrial cancer

ObjectivesThis study evaluates the efficacy and toxicity of image-guided brachytherapy combined with or without external beam radiotherapy (IGBT ± EBRT) as definitive treatment for patients with inoperable endometrial cancer (IOEC), in addition to establishing a risk classification to predict prognosis.MethodsFifty-one IOEC patients who underwent IGBT ± EBRT at Peking Union Medical College Hospital from January 2012 to December 2021 were retrospectively analyzed, of which 42 patients (82.4%) were treated with IGBT + EBRT and 9 patients (17.6%) with IGBT alone. Establishing risk classification based on FIGO 2009 staging and biopsy pathology, stage III/IV, non-endometrioid, or Grade 3 endometrioid cancer were included in the high-risk group (n = 25), and stage I/II with Grade 1–2 endometrioid cancer was included in the low-risk group (n = 26).ResultsThe median follow-up time was 58.0 months (IQR, 37.0–69.0). Clinical complete remission (CR) was achieved in 92.2% of patients after radiotherapy (n = 47). The cumulative incidences of locoregional and distant failure were 19.6% (n = 10) and 7.8% (n = 4), respectively. A total of 20 patients died (39.2%), including 10 cancer-related deaths (19.6%) and 10 comorbidity-related deaths (19.6%). The 5-year locoregional control (LRC), time to progression (TTP), overall survival (OS), and cancer-specific survival (CSS) were 76.9%, 71.2%, 59.4%, and 77.0%, respectively. No Grade 3 or above acute or late toxicities were reported. In univariate analysis, LRC, TTP, and CSS were significantly higher in the low-risk group than in the high-risk group (P < 0.05). After adjusting for age, number of comorbidities, radiotherapy modality, and chemotherapy, the low-risk group was still significantly better than the high-risk group in terms of LRC (HR = 6.10, 95% CI: 1.18–31.45, P = 0.031), TTP (HR = 8.07, 95% CI: 1.64–39.68, P = 0.010) and CSS (HR = 6.29, 95% CI: 1.19–33.10, P = 0.030).ConclusionsIGBT ± EBRT is safe and effective as definitive treatment for IOEC patients, achieving satisfactory locoregional control, favorable survival outcomes, and low toxicity. Risk classification based on FIGO 2009 staging and biopsy pathology is an independent prognostic factor for LRC, TTP, and CSS.

A nomogram for cancer-specific survival of lung adenocarcinoma patients: A SEER based analysis

BackgroundNon-small cell lung cancer (NSCLC) accounts for 85 % of lung cancer cases. Among NSCLC subtypes, lung adenocarcinoma (LUAD) stands as the most prevalent. Regrettably, LUAD continues to exhibit a notably unfavorable overall prognosis. This study's primary aim was to develop and validate prognostic tools capable of predicting the likelihood of cancer-specific survival (CSS) in patients with LUAD. MethodsWe retrospectively collected 21,099 patients diagnosed with LUAD between 2010 and 2015, and 8290 patients diagnosed between 2004 and 2009 from SEER database. The cohort of 21,099 patients served as the prognostic group for the exploration of LUAD-related prognostic risk factors. The cohort of 8290 patients was designated for external validation. We created a training set and an internal validation set in the prognostic group for the development and internal validation of CSS nomograms. CSS predictors were identified through the least absolute shrinkage and selection operator (Lasso) regression analysis. Prognostic model was constructed via Cox hazard regression analysis, presented in the form of both static and dynamic network-based nomograms. ResultsSeveral independent prognostic factors were incorporated into the construction of nomogram. The nomogram accurately predicted CSS at 1, 3, and 5 years, with respective AUC values of 0.769, 0.761, and 0.748 for the training group, and 0.741, 0.752, and 0.740 for the testing group. The study demonstrated a strong agreement between anticipated and actual CSS values, supported by decision curve analysis (DCA) and time-dependent calibrated curves. High-risk patients based on the nomogram exhibiting significantly lower survival rates compared to their low-risk counterparts according to Kaplan-Meier (K-M) curves. The nomogram demonstrates excellent predictive power in the external validation cohort. ConclusionsA dependable and user-friendly nomogram has been developed, available in both static and online dynamic calculator formats, to facilitate healthcare professionals in accurately estimating the likelihood of CSS for patients diagnosed LUAD.

Clinical significance of surgical resection for hepatocellular carcinoma with portal vein invasion: a nationwide cohort study.

Hepatocellular carcinoma (HCC) with portal vein invasion (PVI) is considered an advanced stage with a poor prognosis. Although current guidelines recommend systemic treatment for HCC with PVI, surgical resection could produce acceptable outcomes in selected patients. This study aimed to identify the clinical significance of surgical resection for HCC with PVI patients using a large-scale nationwide registry. This retrospective, multicenter, observational cohort analyzed data from the Korean Primary Liver Cancer Registry. A total of 16,781 patients who were newly diagnosed with HCC between 2008 and 2018 were enrolled in this study. Patients with worse Child-Turcotte-Pugh scores (≥7) or performance status (≥2) were excluded. Among them, 998 patients who received treatment for HCC with PVI were included in the analysis and were divided into two groups: resection group of 151 (15.1%) and palliative group of 847 (84.9%) who received transarterial and systemic therapy according to the treatment intent. After matching the number and size of the tumors and model for end-stage liver disease (MELD) score between the groups, the final study cohort for analysis comprised 151 (26.6%) patients in the resection group and 417 (73.4%) in the palliative group. The primary endpoints were overall survival (OS) and cancer-specific survival (CSS). The number and maximum size of HCC did not differ between the resection and palliative groups after matching [1 (range, 1-5) vs. 1 (range, 1-6), P=0.11 and 5.5 (range, 1.2-20.6) vs. 6.0 (range, 1.0-20.5) cm, P=0.24, respectively]. Tumor markers, including alpha-fetoprotein (AFP) and protein induced by vitamin K absence or antagonist-II (PIVKA-II), also did not differ between the groups (P=0.29 and P=0.36, respectively). The 5-year OS and CSS rates of the resection and palliative groups were 44.8% and 17.4% (P<0.001) and 47.7% and 18.6% (P<0.001), respectively. Multivariate analysis showed that palliative treatment intent was the most significant risk factor for OS and CSS [odds ratio (OR) =2.24; 95% confidence interval (CI): 1.66-3.02; P<0.001 and OR =2.29; 95% CI: 1.68-3.12; P<0.001, respectively]. Surgical resection could significantly improve OS and CSS in selected HCC with PVI patients who have preserved liver function and performance status.

Unveiling the Clinical Path of Microinvasive Breast Cancer: A Comparative Study With Tis-T1 Breast Cancer.

The prognosis of microinvasive breast cancer (MIBC) is controversial, with a high reported rate of local recurrence (LR). This study aimed to evaluate the characteristics, treatments, and prognosis of patients with MIBC compared to those with carcinoma insitu (CIS) or early invasive cancer. Patients who diagnosed with CIS or stage I breast cancer were retrospectively enrolled. Using the Kaplan-Meier method, local recurrence-free survival (LRFS), systemic recurrence-free survival (SRFS), and cancer-specific survival (CSS) were compared according to T stage. The prognostic factors associated with LRFS were identified using the Cox proportional hazards model. According to T stage, 517 (21.6%), 200 (8.4%), 207 (8.7%), 363 (15.2%), and 1101 (46.1%) patients had Tis, T1mi, T1a, T1b, and T1c tumors, respectively. The proportion of human epidermal growth factor receptor 2-positive tumors was significantly higher in patients with MIBC (p < 0.0001). The administered adjuvant treatments also showed differences according to T stage (p < 0.0001). During the 73-month median follow-up period, patients with MIBC showed significantly worse LRFS than those with T1a or T1c tumors (p = 0.002). There was no significant difference in SRFS and CSS. In the Cox regression analysis, tumor multiplicity (p = 0.017), Ki-67 (p = 0.025), cancer subtype (p = 0.034), adjuvant endocrine therapy (p = 0.003), and adjuvant radiation therapy (p < 0.0001) were significant prognostic factors associated with LRFS. The risk of LR was higher in patients with MIBC than in those with small invasive breast cancer. Therefore, if indicated, adjuvant endocrine and radiation therapies should be administered to prevent undertreatment in patients with MIBC.

Measuring the Integration of Stereotactic Ablative Radiotherapy Plus Surgery for Early-Stage Non-Small Cell Lung Cancer (MISSILE): Long-Term Clinical Outcomes.

For early-stage non-small cell lung cancer (NSCLC), surgery is the preferred approach in operable patients, whereas stereotactic ablative radiotherapy (SABR) is preferred for medically inoperable patients. The combination of neoadjuvant SABR followed by surgery was tested in the MISSILE phase II trial. We report long-term outcomes, beyond 5 years of follow-up. Patients diagnosed with T1-2N0M0 NSCLC with good performance status and adequate lung function were enrolled. Patients underwent neoadjuvant SABR followed by lobectomy/wedge resection. Forty enrolled patients received SABR, of which 36 patients proceeded to surgery. The pathologic and major complete response rates were 60% and 63%, respectively. Median follow-up was 6.6 years following surgery. Five-year overall, disease-free and cancer-specific survival were 66.7% (95% CI: 48.8-79.5), 58.3% (95% CI: 40.7-72.4) and 76.4% (95% CI: 58.2-87.4). Five-year local, regional and distant control were 93.5% (95% CI: 76.3-98.4), 80.1% (95% CI: 62.7-90.0) and 82.4% (95% CI: 64.9-91.7). After SABR and surgery, 16.7% (n=6) of patients experienced related grade ≥ 3 adverse events and there were no grade 5 events. The combined approach of SABR and surgery was safe and demonstrated reasonable long-term clinical outcomes, but similar to surgery alone.