Cancer-specific Survival Analysis Research Articles

Analysis of cancer-specific survival in patients with metastatic colorectal cancer: A evidence-based medicine study.

Metastatic colorectal cancer (mCRC) is a common malignancy whose treatment has been a clinical challenge. Cancer-specific survival (CSS) plays a crucial role in assessing patient prognosis and treatment outcomes. However, there is still limited research on the factors affecting CSS in mCRC patients and their correlation. To predict CSS, we developed a new nomogram model and risk grading system to classify risk levels in patients with mCRC. Data were extracted from the United States Surveillance, Epidemiology, and End Results database from 2018 to 2023. All eligible patients were randomly divided into a training cohort and a validation cohort. The Cox proportional hazards model was used to investigate the independent risk factors for CSS. A new nomogram model was developed to predict CSS and was evaluated through internal and external validation. A multivariate Cox proportional risk model was used to identify independent risk factors for CSS. Then, new CSS columns were developed based on these factors. The consistency index (C-index) of the histogram was 0.718 (95%CI: 0.712-0.725), and that of the validation cohort was 0.722 (95%CI: 0.711-0.732), indicating good discrimination ability and better performance than tumor-node-metastasis staging (C-index: 0.712-0.732). For the training set, 0.533, 95%CI: 0.525-0.540; for the verification set, 0.524, 95%CI: 0.513-0.535. The calibration map and clinical decision curve showed good agreement and good potential clinical validity. The risk grading system divided all patients into three groups, and the Kaplan-Meier curve showed good stratification and differentiation of CSS between different groups. The median CSS times in the low-risk, medium-risk, and high-risk groups were 36 months (95%CI: 34.987-37.013), 18 months (95%CI: 17.273-18.727), and 5 months (95%CI: 4.503-5.497), respectively. Our study developed a new nomogram model to predict CSS in patients with synchronous mCRC. In addition, the risk-grading system helps to accurately assess patient prognosis and guide treatment.

Analysis of Prognostic Factors and Cancer-Specific Survival in Patients with Undifferentiated and Dedifferentiated Endometrial Carcinoma Undergoing Various Postoperative Adjuvant Therapies

Analysis of Prognostic Factors and Cancer-Specific Survival in Patients with Undifferentiated and Dedifferentiated Endometrial Carcinoma Undergoing Various Postoperative Adjuvant Therapies

Comparison of different treatment strategies for T3N1-3 stage gastric cancer based on the SEER database

Treatment options for T3N1 stage gastric cancer exhibit regional variation, with optimal approach remaining unclear. We derived our data from the SEER database, using Cox proportional risk regression models for univariate and multivariate analyses of 5-years overall survival (5yOS) and 5-years cancer-specific survival (5yCSS). The results showed that younger age, female, non-white race, highly differentiated histologic grade, non-Signet ring cell adenocarcinoma, low N stage, lesser curvature of the stomach, OP followed by adjuvant C/T with or without RT, partial gastrectomy, C/T and others, Radiation therapy, and Chemotherapy were significantly associated with better 5yOS and 5yCSS. For patients with stage T3N1-3 gastric cancer, multimodal treatment regimens demonstrate superior survival outcomes compared to surgery or radiotherapy alone. Among them, OP followed by adjuvant C/T with or without RT emerges as particularly efficacious, potentially offering enhanced benefits for non-Asian populations.

Neighborhood Disadvantage and Breast Cancer–Specific Survival in the US

Despite improvements in breast cancer screening, treatment, and survival, disparate breast cancer-specific survival outcomes persist, particularly in disadvantaged neighborhoods. Most of these disparities are attributed to disparities in individual, tumor, and treatment characteristics. However, a critical knowledge gap exists as to whether disparities in breast cancer-specific survival remain after accounting for individual, tumor, and treatment characteristics. To evaluate if neighborhood disadvantage is associated with shorter breast cancer-specific survival after controlling for individual, tumor, and treatment characteristics in a national population. This national retrospective cohort study included patients with breast cancer diagnosed from 2013 to 2018 from the Surveillance, Epidemiology, and End Results 17 Census tract-level socioeconomic status and rurality database of the National Cancer Institute. Data analysis was performed from September 2022 to December 2023. Neighborhood disadvantage measured by Yost index quintiles. Breast cancer-specific survival was evaluated using a competing risks cause-specific hazard model controlling for age, race, ethnicity, rurality, stage, subtype, insurance, and receipt of treatment. A total of 350 824 patients with breast cancer were included; 41 519 (11.8%) were Hispanic, 39 631 (11.3%) were non-Hispanic Black, and 234 698 (66.9%) were non-Hispanic White. A total of 87 635 patients (25.0%) lived in the most advantaged neighborhoods (group 5) and 52 439 (14.9%) lived in the most disadvantaged neighborhoods (group 1). A larger number of non-Hispanic White patients (66 529 patients [76.2%]) lived in advantaged neighborhoods, while disadvantaged neighborhoods had the highest proportion of non-Hispanic Black (16 141 patients [30.9%]) and Hispanic patients (10 168 patients [19.5%]). Breast cancer-specific survival analysis found the most disadvantaged neighborhoods (group 1) had the highest risk of mortality (hazard ratio, 1.43; 95% CI, 1.36-1.50; P < .001) compared with the most advantaged neighborhoods. In this national cohort study of patients with breast cancer, neighborhood disadvantage was independently associated with shorter breast cancer-specific survival even after controlling for individual-level factors, tumor characteristics, and treatment. This suggests potential unaccounted-for mechanisms, including both nonbiologic factors and biologic factors.

Bilateral Seminal Vesicle Invasion as a Strong Prognostic Indicator in T3b Prostate Cancer Patients Following Radical Prostatectomy: A Comprehensive, Multicenter, Long-term Follow-up Study.

Pathologic T3b (pT3b) prostate cancer, characterized by seminal vesicle invasion (SVI), exhibits variable oncological outcomes post-radical prostatectomy (RP). Identifying prognostic factors is crucial for patient-specific management. This study investigates the impact of bilateral SVI on prognosis in pT3b prostate cancer. We evaluated the medical records of a multi-institutional cohort of men who underwent RP for prostate cancer with SVI between 2000 and 2012. Univariate and multivariable analyses were performed using Kaplan-Meier analysis and covariate-adjusted Cox proportional hazard regression for biochemical recurrence (BCR), clinical progression (CP), and cancer-specific survival (CSS). Among 770 men who underwent RP without neo-adjuvant treatment, median follow-up was 85.7 months. Patients with bilateral SVI had higher preoperative prostate-specific antigen levels and clinical T category (all p < 0.001). Extracapsular extension, tumor volume, lymph node metastasis (p < 0.001), pathologic Gleason grade group (p < 0.001), and resection margin positivity (p < 0.001) were also higher in patients with bilateral SVI. The 5-, 10-, and 15-year BCR-free survival rates were 23.9%, 11.7%, and 8.5%; CP-free survival rates were 82.8%, 62.5%, and 33.4%; and CSS rates were 96.4%, 88.1%, and 69.5%, respectively. The bilateral SVI group demonstrated significantly lower BCR-free survival rates, CP-free survival rates, and CSS rates (all p < 0.001). Bilateral SVI was independently associated with BCR (hazard ratio, 1.197; 95% confidence interval, p=0.049), CP (p=0.022), and CSS (p=0.038) in covariate-adjusted Cox regression. Bilateral SVI is a robust, independent prognostic factor for poor oncological outcomes in pT3b prostate cancer.

Effect of radiation therapy on patients with stage T3 or T4 malignant phyllodes tumors: a retrospective observational study based on SEER

PurposeAmong all primary breast tumors, malignant phyllodes tumor of the breast (MPTB) make up less than 1%. In the treatment of phyllode tumors, surgical procedures such as mastectomy and breast-conserving surgery are the mainstay. MPTB has, however, been controversial when it comes to treating it with RT. We aimed to explore the prognostic impact of RT and other clinicopathologic factors on long-term survival for patients with stage T3 or T4 malignant phyllodes tumors.MethodsWe select patients with stage T3 or T4 MPTB who qualified for the criteria between 2000 and 2018 via the Surveillance, Epidemiology, and End Results (SEER) database. We performed 1:1 propensity score matching (PSM) and Kaplan–Meier analysis to explore the role of RT in long-term survival of patients with stage T3 or T4 MPTB. A univariate and multivariate analysis of breast cancer-specific survival (BCSS) and overall survival (OS) risk factors was carried out using a Cox proportional hazards model. In addition, the nomogram graph of OS and BCSS was constructed.ResultsA total of 583 patients with stage T3 or T4 malignant phyllodes tumors were included in this study, of whom 154 (26.4%) received RT, and 429 (73.6%) were treated without RT. Before adjustment, between groups with and without RT, BCSS (p = 0.1) and OS (p = 0.212) indicated no significant difference respectively. Using of PSM, the two groups still did not differ significantly in BCSS (p = 0.552) and OS (p = 0.172). In multivariate analysis, age (p < 0.001), surgery of primary site (p < 0.001) and distant metastatic status (p < 0.001) were related to prognosis, while RT still did not affect BCSS (p = 0.877) and OS (p = 0.554).ConclusionBased on the SEER database analysis, the study suggests that the patients with stage T3 or T4 MPTB treated with RT after surgery didn't have significant differences in BCSS or OS compared to those not treated with RT.

The Cancer Cachexia Index Can Be Used to Prognostically Predict Patients with Gastric Cancer Undergoing Gastrectomy

Introduction: Cancer cachexia occurs in cancer patients more frequently as the cancer progresses, with a negative impact on treatment outcomes. In this study, we sought to clarify the clinical impact of a cancer cachexia index (CXI) in patients with gastric cancer (GC) undergoing gastrectomy. Methods: Between January 2013 and December 2018, we reviewed data from 556 patients treated for GC at our hospital. CXI was calculated using skeletal muscle index (SMI), serum albumin, and neutrophil-lymphocyte ratios (NLR). Patients were divided into high (n = 414) or low CXI (n = 142) groups. We investigated the clinical impact of CXI in patients with GC undergoing gastrectomy. Results: Multivariate analyses of 5-year overall survival (OS) and cancer-specific survival (CSS) rates indicated that a low CXI was independently associated with unfavorable outcomes for patients with GC. In multivariate analyses, SMI was independent predictor of OS but not CSS. NLR was not an independent predictor of either OS or CSS. Complication incidences (≥ Clavien Dindo 3) were non-significantly higher in the low (vs. high) CXI group. Conclusion: CXI was a more valuable prognostic biomarker when compared with SMI or NLR in GC patients undergoing gastrectomy. We suggest that patients with low CXI values should be given more comprehensive treatment, including exercise and nutritional therapy to improve clinical outcomes.

The Impact of Histological Variants on Oncological Outcomes in Patients with Muscle Invasive Bladder Cancer Treated with Radical Cystectomy.

Bladder cancer is a heterogeneous entity characterized by a wide range of different morphologies. The aim of this study was to investigate the prognostic effect of bladder tumor with variant histology that is treated with radical cystectomy on oncological outcomes. One hundred eighty-six patients who underwent radical cystectomy between September 2001 and June 2020 were included in the study. The patients were divided into 2 groups variant histology group (n = 54) and transitional cell cancer group (n = 132). Clinicopathologic data were compared between the two groups. The groups were similar in terms of demographic characteristics. In the mul- tivariate analysis of cancer-specific survival in transitional cell cancer against variant histology, high-grade detection of primary transurethral bladder tumor pathology, cystectomy pT, cystectomy positive lymph node, and positive surgical margin in cys- tectomy were determined to be statistically significant. Diagnosis of pT2 and high grade of primary transurethral bladder tumor pathology, cystectomy ≥ pT3, cystec- tomy positive lymph node, and positive surgical margin in cystectomy were statis- tically significant in multivariate analysis of overall survival. Cancer-specific survival time was estimated at 65.1 ± 8.3 months for variant histology and 134.2 ± 10.4 months for transitional cell cancer (P=.004). The estimated overall survival time was 61.9 ± 8.0 months in variant histology and 119.0 ± 9.8 months in transitional cell cancer (P = .014). Pathological features and prognosis of bladder cancer with variant histol- ogies are worse than those of pure urothelial bladder cancer. Overall survival and can- cer-specific survival are shorter in bladder cancer with variant histology than in pure urothelial bladder cancer. Following the diagnosis of variant histology in transurethral bladder tumor, poor prognosis must be considered in the treatment plan.

Development of a prognostic nomogram for patients with malignant mesothelioma with bone metastasis

Malignant mesothelioma (MM) is a rare aggressive tumor, and bone metastasis often occurs in later stages of this disease. This study aimed to establish a nomogram to predict the prognosis of bone metastasis of patients with MM. Data from the Surveillance, Epidemiology, and End Results database were screened and retrieved. This study included 311 patients with MM with bone metastases. Prognostic factors were analyzed using the Kaplan–Meier method and Cox proportional hazards model. A nomogram for overall survival (OS) was established and evaluated using statistically significant prognostic factors, and cancer-specific survival (CSS) analysis was performed to investigate its prognostic factors. In addition, the metastasis patterns of patients with MM were investigated, and the effects of different sites of metastasis on survival were compared using the Kaplan–Meier method. Age, sex, histological type, and chemotherapy were identified as the independent risk factors for OS. The 1-, 2-, and 3-year areas under the curve of the nomogram were 0.792, 0.774, and 0.928, and 0.742, 0.733, and 0.733 in the training and validation sets, respectively. Compared to OS, histological type, radiotherapy, and chemotherapy were independent risk factors for CSS. Different metastatic sites in MM have significantly different effects on prognosis.

Survival analysis of patient groups defined by unsupervised machine learning clustering methods based on patient metabolomic data.

PurposeMeta-analyses failed to accurately identify patients with non-metastatic breast cancer who are likely to benefit from chemotherapy, and metabolomics could provide new answers. In our previous published work, patients were clustered using five different unsupervised machine learning (ML) methods resulting in the identification of three clusters with distinct clinical and simulated survival data. The objective of this study was to evaluate the survival outcomes, with extended follow-up, using the same 5 different methods of unsupervised machine learning. Experimental designForty-nine patients, diagnosed between 2013 and 2016, with non-metastatic BC were included retrospectively. Median follow-up was extended to 85.8 months. 449 metabolites were extracted from tumor resection samples by combined Liquid chromatography-mass spectrometry (LC–MS). Survival analyses were reported grouping together Cluster 1 and 2 versus cluster 3. Bootstrap optimization was applied. ResultsPCA k-means, K-sparse and Spectral clustering were the most effective methods to predict 2-year progression-free survival with bootstrap optimization (PFSb); as bootstrap example, with PCA k-means method, PFSb were 94% for cluster 1&2 versus 82% for cluster 3 (p = 0.01). PCA k-means method performed best, with higher reproducibility (mean HR=2 (95%CI [1.4–2.7]); probability of p ≤ 0.05 85%). Cancer-specific survival (CSS) and overall survival (OS) analyses highlighted a discrepancy between the 5 ML unsupervised methods. ConclusionOur study is a proof-of-principle that it is possible to use unsupervised ML methods on metabolomic data to predict PFS survival outcomes, with the best performance for PCA k-means. A larger population study is needed to draw conclusions from CSS and OS analyses.

Long-term Outcomes Following Active Surveillance of Low-grade Prostate Cancer: A Population-based Study Using a Landmark Approach.

Active surveillance is widely used to manage low-risk prostate cancer, but population-level long-term outcomes are limited. Our objective was to determine long-term population-level oncological outcomes in active surveillance patients. A secondary objective examined the active surveillance discontinuation rate. In this retrospective, population-based study using linked administrative databases from Ontario, Canada, we identified low-grade prostate cancer patients managed with active surveillance or initial treatment between 2002-2014. The 10- and 15-year metastasis-free survival, overall survival, and cancer-specific survival were compared between active surveillance and initial treatment. A landmark of 24 months was selected for the primary analysis. Long-term outcomes were examined using multivariable proportional hazards models and a propensity-based approach. The cohort consisted of 21,282 low-grade prostate cancer patients with a median follow-up of 9.8 years. At 10-year follow-up the survival rate of remaining on active surveillance was 39%, metastasis-free survival was 94.2%, overall survival 88.7%, and cancer-specific survival 98.1%. In adjusted models active surveillance was associated with higher risk of metastasis (HR 1.34, 95%CI 1.15-1.57), overall mortality (HR 1.12, 95%CI 1.01-1.24), and prostate cancer-specific mortality (HR 1.66, 95%CI 1.15-2.39) compared to initial treatment. Survival analysis using 7,525 propensity-matched pairs was consistent with the primary analysis for metastasis-free survival, overall survival and cancer-specific survival. In this large population-based study of long-term outcomes in men with low-grade prostate cancer, active surveillance is associated with excellent long-term metastasis-free survival and overall survival. However, long-term cancer-specific survival was slightly inferior (1% worse at 10 years with active surveillance), and this must be balanced against known harms of overtreatment.

456. THE PROGNOSTIC IMPACT OF TUMOR BUDDING IN ESOPHAGEAL ADENOCARCINOMA

Abstract In a previous study on esophageal adenocarcinoma (EAC) cases submitted to surgery (without neoadjuvant treatment), an algorithm (EACGSE classification) 1 based on morphologic distinctions provided significant prognostic impact. Tumor budding is a specific type of invasive growth pattern and was found to be an important prognostic parameter in gastrointestinal cancers. 2–3 We aimed to evaluate the prevalence of budding in glandular adenocarcinomas and its impact on survival. The EAC cohort classified according to EACGSE 1 was included in the study: among the different histotypes, 215 cases, classified as well (WD) and poorly (PD) differentiated glandular adenocarcinomas, were considered. Tumor budding was defined as single cells or clusters of up to four cells at the invasive margin. Budding was grouped according to ITBCC 2 into Bd1 (0-4 buds), Bd2 (5-9 buds), and Bd3 (10 or more buds). Furthermore, the most prognostically relevant cut off for bud number in EAC was defined by ROC analysis. Cancer specific survival analyses were performed using the Kaplan–Meier method and Cox regression analyses. Tumor budding was assessed in one hotspot (a field measuring 0.785 mm2) at the invasive front and ROC analysis identified 8 buds per field cut off as the most informative in relation to survival. By using this cut off, frequency of budding was higher in glandular PD (84/124,68%) cases than in WD ones (7/91,8%, p &amp;lt; 0.001). Budding was a strong negative predictor of survival both in univariate (p &amp;lt; 0.001) and multivariate analyses (p &amp;lt; 0.001) (Fig. 1). Using the 3 categories proposed by ITBCC, 2 budding was significantly related to survival in univariate analysis (p = 0.006) but lost significance in multivariate analysis. Tumor budding showed a prognostically negative impact in glandular EACs. The 8 buds per field cut off appears to provide the best prognostic discriminant. Tumor budding assessment should be added to the identification of other prognostic factors already described in the same series (stage, histotype and vascular invasion). 1

Superiority of metastatic lymph node ratio over number of node metastases and TNM/AJCC N classification in predicting cancer-specific survival in medullary thyroid cancer.

In medullary thyroid cancer (MTC), it is unclear which nodal classification system, metastatic lymph node ratio (MLNR), number of node metastases, or TNM/AJCC N classification, predicts cancer-specific survival best. Kaplan-Maier analysis of cancer-specific survival after operation at a tertiary center. Included were 505 MTC patients. The spread of the survival curves was greatest after stratification by MLNR (in 0.20 increments), followed by number of node metastases (in 10-node and 20-node increments) and TNM/AJCC classification (N0, N1a, N1b). After collapsing overlapping survival curves, all adjacent curves (MLNRs ≤0.20 vs. 0.21-0.60 vs. >0.60; 0 vs. 1-20 vs. >20 node metastases; and TNM/AJCC N classification N0/N1a vs. N1b) significantly differed between each other. In MTC, MLNR, reflecting intensity of lymphatic spread, predicts cancer-specific survival better than number of node metastases or TNM/AJCC N classification. The applicability of these findings to patients with limited neck dissection requires more research.

Clinical characteristics and cancer-specific survival analysis of double primary cancer patients with lung cancer as the first primary cancer.

The objective of this study is to explore the prognostic factors of double primary cancer patients with lung cancer as the first primary cancer (FPC). The Surveillance, Epidemiology, and End Results (SEER) database is a database established by the National Institutes of Research for cancer registration purposes, which collects relatively complete demographic characteristics and clinical data for assessing the epidemiological characteristics of cancer worldwide. Clinical data on patients with a clear histopathological diagnosis of double primary with lung cancer as the FPC were identified and collected from the SEER database from 2010 to 2015. Survival curves were plotted by Kaplan–Meier survival analysis. Independent prognostic factors of patients were analyzed by COX proportional risk model. Clinical data were collected from a total of 9306 patients, including 6516 patients in the modeling group and 2790 patients in the validation group. When we retrieved that the FPC was lung cancer, we found that the most common site of the second primary cancer was located in the respiratory system (54.0%). In addition, the most common site of first primary lung cancer in patients with double primary cancer was the right upper lobe (33.3%). A total of 14 independent prognostic factors were included, and the constructed survival nomogram had high accuracy and clinical applicability. The nomogram established in this study can help to raise awareness of clinical workers and the importance of such diseases, and guide the treatment and follow-up strategies.

Racial and ethnic characteristics and cancer-specific survival in Primary Malignant Cardiac Tumors.

BackgroundThere is limited insight into the epidemiological characteristics and effect of race and ethnicity on Primary Malignant Cardiac Tumors (PMCTs).ObjectivesComparison of clinical characteristics and cancer-specific survival outcomes of major races in the United States from the Surveillance, Epidemiology and End-Result (SEER) registry.MethodsICD-O-3 codes were used to identify PMCTs for the years 1975 to 2015. Three major races were identified—“White”, “Black”, and “Asian/Pacific Islander”. Cancer-specific survival outcomes were compared using Kaplan-Meier analysis across and amongst races, based on tumor histology. A subgroup analysis of cancer-specific survival was performed between “Hispanics” and “non-Hispanics.”ResultsSeven hundred and twenty patients were identified−47% females and 79% White, mean age at diagnosis (47 ± 20 years). Black patients were significantly younger (39 ± 18 years) and presented more commonly with angiosarcomas (53%). Non-angiogenic sarcomas and lymphomas were the most common tumors in the White (38%) and Asian/Pacific Islander (34%) cohorts. For a median follow-up period of 50 (IQR3-86) months, cancer-specific survival (mean ± SD, in months) was worse in Blacks (9 ± 3) as compared to Whites (15 ± 1) and Asian/Pacific Islander (14 ± 1) (p-value; Black vs. White <0.001; Black vs. Asian/Pacific Islanders = 0.017, White vs. Asian/Pacific Islanders = 0.3). Subgroup analysis with 116 (16%) Hispanics (40% females; mean age of 40 ± 20 years) showed a longer mean cancer-specific survival of 16.9 ± 2.4 months as compared to 13.6 ± 1.1 months in non-Hispanics (p = 0.011).ConclusionBlack and non-Hispanic patients have poorer cancer-specific survival in PMCTs.

Validated algorithms for identifying timing of second event of oropharyngeal squamous cell carcinoma using real-world data.

Understanding occurrence and timing of second events (recurrence and second primary cancer) is essential for cancer specific survival analysis. However, this information is not readily available in administrative data. Alberta Cancer Registry, physician claims, and other administrative data were used. Timing of second event was estimated based on our developed algorithm. For validation, the difference, in days between the algorithm estimated and the chart-reviewed timing of second event. Further, the result of Cox-regression modeling cancer-free survival was compared to chart review data. Majority (74.3%) of the patients had a difference between the chart-reviewed and algorithm-estimated timing of second event falling within the 0-60 days window. Kaplan-Meier curves generated from the estimated data and chart review data were comparable with a 5-year second-event-free survival rate of 75.4% versus 72.5%. The algorithm provided an estimated timing of second event similar to that of the chart review.

Albumin-to-Alkaline Phosphatase Ratio as a Novel Prognostic Factor in Patients Undergoing Nephrectomy for Non-Metastatic Renal Cell Carcinoma: Propensity Score Matching Analysis.

To evaluate the prognostic value of albumin-to-alkaline phosphatase ratio (AAPR) on recurrence and survival in patients with non-metastatic renal cell carcinoma (RCC) treated with radical or partial nephrectomy. Between June 1994 and December 2018, 491 patients with RCC who underwent radical or partial nephrectomy at 2 institutions were enrolled in this study. Recurrence-free survival (RFS) and cancer-specific survival (CSS) analyses were performed to distinguish the differences in postoperative recurrence and survival between patients stratified by an optimal cut-off value of AAPR. Multivariable Cox proportional hazards regression models were established to determine the independent prognostic factors after propensity score weighting. Of the total 491 patients, 51 patients (10.4%) developed local recurrence or distant metastasis and 26 patients (5.3%) died of disease during the follow-up period. Patients with AAPR<0.41 had significantly lower rates of RFS and CSS than those of patients with AAPR≥0.41 in multivariate analysis (P < .001 and P=.027, respectively). After propensity scroe matching analyses, this difference was still remained for RFS (P < .001). However, AAPR was not an independent prognostic factor for CSS but the value was almost pregnant (HR=2.674; 95%CI=0.872-8.203; P=.086). AAPR can serve as a novel and useful tool to refine prognosis in patients with non-metastatic RCC treated with partial or radical nephrectomy. These findings suggest that AAPR could be a promising prognostic factor for prediction of recurrence and survival in patients with non-metastatic RCC who undergo nephrectomy.

Effect of Marital Status on Upper Digestive Tract Tumor Survival: Married Male Patients Exhibited a Better Prognosis.

PurposeMarital status has been associated with the outcomes in several types of cancer, but less is known about upper digestive tract tumors (UDTTs). The study aims to explore the effect of marital status on the survival outcomes of UDTT.MethodsWe collected patient cases of UDTT using the Surveillance, Epidemiology, and End Results (SEER) database between 1975 and 2016. The univariate analyses of overall survival (OS) and cancer-specific survival (CSS) were performed using the Kaplan–Meier method. The multivariate survival analyses were performed using Cox proportional hazard model.ResultsA total of 282,189 patients were included, with 56.42, 16.30, 13.33, and 13.95% of patients married, never married, divorced or separated, and widowed, respectively. The significant differences were observed among married, never-married, divorced or separated, and widowed patients with regard to the year of diagnosis, sex, age, race, pathological type, anatomical site, the number of primary tumor, grade, rate of surgery performed, radiotherapy, chemotherapy (p < 0.001). The proportions of patients with 3-year and 5-year OS were 54.22 and 48.02% in the married group, 46.96 and 41.12% in the never-married group, 44.24 and 38.06% in the divorced or separated group, 34.59 and 27.57% in the widowed group, respectively (p < 0.001); the proportions of patients with 3-year and 5-year CSS were 70.76 and 68.13% in the married group, 62.44 and 59,93% in the never-married group, 63.13 and 60.53% in the divorced or separated group, 62.11 and 58.89% in the widowed group, respectively (p < 0.001); all these data indicated married patients exhibited favorable OS and CSS than never-married, divorced or separated, and widowed patients. Men in the married group showed better OS (HR, 1.16; 95%CI: 1.11–1.22) and CSS (HR, 0.96; 95%CI: 0.92–1.23) than those in the never-married group.ConclusionThis study reveals that marital status is an independent prognostic factor for OS and CSS of patients with UDTT. Married male patients with UDTT trend to have a better prognosis.

Desmoplastic Reaction, Immune Cell Response, and Prognosis in Colorectal Cancer.

BackgroundThe relationships between tumor stromal features (such as desmoplastic reaction, myxoid stroma, and keloid-like collagen bundles) and immune cells in the colorectal carcinoma microenvironment have not yet been fully characterized.MethodsIn 908 tumors with available tissue among 4,465 incident colorectal adenocarcinoma cases in two prospective cohort studies, we examined desmoplastic reaction, myxoid stroma, and keloid-like collagen bundles. We conducted multiplex immunofluorescence for T cells [CD3, CD4, CD8, CD45RO (PTPRC), and FOXP3] and for macrophages [CD68, CD86, IRF5, MAF, and MRC1 (CD206)]. We used the inverse probability weighting method and the 4,465 incident cancer cases to adjust for selection bias.ResultsImmature desmoplastic reaction was associated with lower densities of intraepithelial CD3+CD8+CD45RO+ cells [multivariable odds ratio (OR) for the highest (vs. lowest) density category, 0.43; 95% confidence interval (CI), 0.29–0.62; Ptrend <0.0001] and stromal M1-like macrophages [the corresponding OR, 0.44; 95% CI, 0.28–0.70; Ptrend = 0.0011]. Similar relations were observed for myxoid stroma [intraepithelial CD3+CD8+CD45RO+ cells (Ptrend <0.0001) and stromal M1-like macrophages (Ptrend = 0.0007)] and for keloid-like collagen bundles (Ptrend <0.0001 for intraepithelial CD3+CD8+CD45RO+ cells). In colorectal cancer-specific survival analyses, multivariable-adjusted hazard ratios (with 95% confidence intervals) were 0.32 (0.23–0.44; Ptrend <0.0001) for mature (vs. immature) desmoplastic reaction, 0.25 (0.16–0.39; Ptrend <0.0001) for absent (vs. marked) myxoid stroma, and 0.12 (0.05–0.28; Ptrend <0.0001) for absent (vs. marked) keloid-like collagen bundles.ConclusionsImmature desmoplastic reaction and myxoid stroma were associated with lower densities of tumor intraepithelial memory cytotoxic T cells and stromal M1-like macrophages, likely reflecting interactions between tumor, immune, and stromal cells in the colorectal tumor microenvironment.

Survival benefit of thermal ablation combined with chemotherapy for the treatment of stage IV nonsmall cell lung cancer: a propensity-matched analysis

Objective To investigate the survival benefit of thermal ablation (TA) plus chemotherapy for Stage-IV nonsmall cell lung cancer (NSCLC). Methods From the Surveillance, Epidemiology and End Results (SEER) database, data of Stage-IV NSCLC patients receiving different treatment modalities (TA plus chemotherapy vs. chemotherapy) from 2004 to 2016 were retrospectively analyzed using propensity-score matching (PSM) for covariates. Kaplan–Meier curves and the log-rank test for intergroup comparison of overall survival (OS) and lung cancer-specific survival (LCSS) and subgroup analyses in the PSM cohort evaluated possible survival benefits. Cox proportional risk models evaluated independent prognostic factors. Results Among 52,574 patients, 152 received TA plus chemotherapy. After PSM, the TA plus chemotherapy and chemotherapy groups included 150 and 445 patients, respectively. Compared to the chemotherapy group, the TA plus chemotherapy group had better OS (p = 0.042) and LCSS (p = 0.031), especially in patients aged 70 and older in age-stratified subgroup analysis; no statistically significant beneficial trend was noted for patients younger than 70 years. Subgroup analysis by tumor size showed superior OS and LCSS with TA plus chemotherapy than chemotherapy for tumors ≤3.0 cm; however, no significant difference was found in subgroups with larger tumors. Multivariate analysis showed that TA plus chemotherapy was an independent prognostic factor for OS and LCSS (hazard ratio 0.70 [95% confidence interval 0.59–0.84] and 0.70 [0.58–0.84], respectively; p < 0.001). Conclusion TA plus chemotherapy is a potential treatment option for Stage-IV NSCLC, especially for patients aged 70 or older with tumor size ≤3 cm.