Letter to the Editor: An ultra-sensitive assay using cell-free DNA fragmentomics for multi-cancer early detection.

Early detection can benefit cancer patients with more effective treatments and better prognosis, but existing early screening tests are limited, especially for multi-cancer detection. This study investigated the most prevalent and lethal cancer types, including primary liver cancer (PLC), colorectal adenocarcinoma (CRC), and lung adenocarcinoma (LUAD). Leveraging the emerging cell-free DNA (cfDNA) fragmentomics, we developed a robust machine learning model for multi-cancer early detection. 1,214 participants, including 381 PLC, 298 CRC, 292 LUAD patients, and 243 healthy volunteers, were enrolled. The majority of patients (N = 971) were at early stages (stage 0, N = 34; stage I, N = 799). The participants were randomly divided into a training cohort and a test cohort in a 1:1 ratio while maintaining the ratio for the major histology subtypes. An ensemble stacked machine learning approach was developed using multiple plasma cfDNA fragmentomic features. The model was trained solely in the training cohort and then evaluated in the test cohort. Our model showed an Area Under the Curve (AUC) of 0.983 for differentiating cancer patients from healthy individuals. At 95.0% specificity, the sensitivity of detecting all cancer reached 95.5%, while 100%, 94.6%, and 90.4% for PLC, CRC, and LUAD, individually. The cancer origin model demonstrated an overall 93.1% accuracy for predicting cancer origin in the test cohort (97.4%, 94.3%, and 85.6% for PLC, CRC, and LUAD, respectively). Our model sensitivity is consistently high for early-stage and small-size tumors. Furthermore, its detection and origin classification power remained superior when reducing sequencing depth to 1× (cancer detection: ≥ 91.5% sensitivity at 95.0% specificity; cancer origin: ≥ 91.6% accuracy). In conclusion, we have incorporated plasma cfDNA fragmentomics into the ensemble stacked model and established an ultrasensitive assay for multi-cancer early detection, shedding light on developing cancer early screening in clinical practice.

Bulk and single-cell transcriptome profiling reveal necroptosis-based molecular classification, tumor microenvironment infiltration characterization, and prognosis prediction in colorectal cancer.

BACKGROUND: Necroptosis is a new form of programmed cell death that is associated with cancer initiation, progression, immunity, and chemoresistance. However, the roles of necroptosis-related genes (NRGs) in colorectal cancer (CRC) have not been explored comprehensively. METHODS: In this study, we obtained NRGs and performed consensus molecular subtyping by "ConsensusClusterPlus" to determine necroptosis-related subtypes in CRC bulk transcriptomic data. The ssGSEA and CIBERSORT algorithms were used to evaluate the relative infiltration levels of different cell types in the tumor microenvironment (TME). Single-cell transcriptomic analysis was performed to confirm classification related to NRGs. NRG_score was developed to predict patients' survival outcomes with low-throughput validation in a patients' cohort from Fudan University Shanghai Cancer Center. RESULTS: We identified three distinct necroptosis-related classifications (NRCs) with discrepant clinical outcomes and biological functions. Characterization of TME revealed that there were two stable necroptosis-related phenotypes in CRC: a phenotype characterized by few TME cells infiltration but with EMT/TGF-pathways activation, and another phenotype recognized as immune-excluded. NRG_score for predicting survival outcomes was established and its predictive capability was verified. In addition, we found NRCs and NRG_score could be used for patient or drug selection when considering immunotherapy and chemotherapy. CONCLUSIONS: Based on comprehensive analysis, we revealed the potential roles of NRGs in the TME, and their correlations with clinicopathological parameters and patients' prognosis in CRC. These findings could enhance our understanding of the biological functions of necroptosis, which thus may aid in prognosis prediction, drug selection, and therapeutics development.

The pattern and treatment outcomes for rectal cancer with concurrent locoregional recurrence and distant metastases after total mesorectal excision.

BACKGROUND: To study the pattern and treatment outcome of rectal cancer (RC) with concurrent locoregional recurrence (LR) and distant metastasis (DM) after total mesorectal excision (TME) and to identify patient-, disease-, and treatment-related factors associated with differences in prognosis after concurrent LR and DM. METHODS: RC patients who were diagnosed with concurrent LR and DM after TME from May 2015 to June 2019 were included in our study. All patients received single or multiple treatment modalities under the guidance of multidisciplinary team (MDT) of colorectal cancer in Fudan University Shanghai Cancer Center. The prognostic value of various clinicopathological factors for survival were calculated by Kaplan-Meier curves and Cox regression analyses. RESULTS: A total of 74 RC patients with concurrent LR and DM who had undergone TME with a median follow-up of 27 months were eligible for analysis. The median survival of the included patients was 34 months, and 30 patients (41%) died. Fifty-nine patients (80%) underwent comprehensive treatments. Patients with oligometastatic disease (OMD) achieved no evidence of disease (NED) status more frequently than those with multiple metastases (P = 0.003). In the univariate analysis, patients achieving NED, diagnosed with OMD and five or less peritoneal metastases tended to have longer survival after LR and DM diagnosis (P < 0.05). In the multivariate analysis, attaining NED status was the only independent factor for survival (hazard ratio (HR), 2.419; P = 0.032). Survival after concurrent LR and DM in the non-NED group was significantly shorter than that in the NED group (median survival, 32 vs. 46 months; HR, 2.7; P = 0.014). CONCLUSIONS: The pattern and treatment outcome of RC with concurrent LR and DM after TME has changed with the development of multiple treatment modalities. Although the prognosis remains poor, pursuing NED status through comprehensive treatments may improve the survival of RC patients with concurrent LR and DM after TME.

Circulating tumor DNA as a prognostic indicator of colorectal cancer recurrence-a systematic review and meta-analysis.

PURPOSE: Colorectal cancer (CRC) is one of the leading causes of cancer-related death worldwide. After resection, patients need extensive follow-up to detect asymptomatic recurrences as early as possible to obtain optimal treatment. This study evaluated the prognostic value of circulating tumor DNA (ctDNA) for CRC recurrence. METHODS: Two investigators independently conducted a systematic literature search of peer-reviewed studies that investigated the prognostic value of ctDNA in CRC. Fixed effects or random effects models were applied for all analyses based on the assessment of heterogeneity. RESULTS: A total of 189 studies were initially retrieved from all databases; ultimately, eight studies with 879 CRC patients were included in this analysis. The pooled median recurrence-free survival was 11.36 months for ctDNA-positive patients. Meta-analysis of hazard ratio (HR) suggested that postoperative ctDNA-positive patients were more likely to experience cancer recurrence than ctDNA-negative patients (pooled HR: 5.41; 95% confidence interval (CI): 2.37-8.45). CONCLUSIONS: Successive monitoring of ctDNA status and follow-up with postoperative computed tomography (CT)/magnetic resonance imaging (MRI) are useful tools to detect early recurrence in postoperative ctDNA-positive patients.

A novel human colon signet-ring cell carcinoma organoid line: establishment, characterization and application.

Colon signet-ring cell carcinoma (SRCC) is a rare type of malignant dedifferentiated adenocarcinomas, and is associated with poor survival. However, an in-depth study of the biological features of SRCC is hindered by the lack of a reliable in vitro model of colon SRCC. Thus, the establishment of cell cultures from SRCC has become the most challenging task. Here, by harnessing the power of the organoid culture system, we describe the establishment of a human colon SRCC organoid line from a surgical sample from one patient with colon SRCC. The colon SRCC organoid line, YQ-173, was characterized for morphology, histology, ultrastructure and chromosome stability levels, showing that it resembles the histological and growth characteristics of the original tumor cells; xenografts were used to show that it also has a high tumor formation rate. RNA sequencing of YQ-173 compared with the normal tissue verified its mucinous nature. Capture-based targeted DNA sequencing combined with drug screening based on a bespoke 88 compound library identified that JAK2 might be a treatment target. An in vitro drug screening found that AT9283 and Pacritinib could be effective JAK2 inhibitors, which was consistent with the in vivo xenograft response. We report, for the first time, the establishment of an SRCC organoid line allowing in-depth study of SRCC biology, as well as a strategy to assess in vitro drug testing in a personalized fashion.

Immunohistochemistry-Based Consensus Molecular Subtypes as a Prognostic and Predictive Biomarker for Adjuvant Chemotherapy in Patients with Stage II Colorectal Cancer.

BACKGROUND: For stage II colorectal cancer (CRC), the efficacy of adjuvant chemotherapy remains controversial. Consensus molecular subtype (CMS) has been validated to be a prognostic tool for CRCs. In this study, CMS status was investigated as a prognostic biomarker for the efficacy of adjuvant chemotherapy for stage II colorectal cancer. MATERIALS AND METHODS: The tissue microarray was retrospectively constructed of 165 nonconsecutive, primary, and sporadic stage II CRCs. CMS status was determined by immunohistochemistry staining of CDX2, HTR2B, FRMD6, and ZEB1, combining with microsatellite instability testing. The prognostic for adjuvant chemotherapy efficacy of CMS status was calculated by Kaplan-Meier curves and Cox regression analysis. Subgroup analyses were conducted according to tumor location. RESULTS: Kaplan-Meier curves indicated that CMS was associated with overall survival (OS) and disease-free survival for stage II CRCs. Cox regression analysis showed that CMS was an independent risk factor for OS. Among high-risk clinicopathological factors, patients with CMS2/3 (hazard ratio [HR]: 0.445, 95% confidence interval [CI]: 0.227-0.875), left-sided tumors (HR: 0.488, 95% CI: 0.247-0.968), or fewer than 12 lymph nodes examined (HR: 0.307, 95% CI: 0.097-0.974) had survival benefit from adjuvant chemotherapy. Subgroup analysis showed that adjuvant chemotherapy only improved OS for patients with left-sided tumors of CMS2/3 subtype. Regardless of CMS, right-sided tumors had no benefit from adjuvant chemotherapy. CONCLUSION: CMS is a better prognostic factor for adjuvant chemotherapy for stage II CRCs. Together with tumor location, CMS classification will aid in personalized treatment for stage II CRCs. IMPLICATIONS FOR PRACTICE: For stage II colorectal cancer (CRC), the efficacy of adjuvant chemotherapy remains controversial, in that its minimal benefit (no more than 5% on average) is considered not worth the toxic effects of the drugs. There are still no effective prognostic and predictive biomarkers. This study showed that consensus molecular subtype (CMS) status is a predictive marker for adjuvant chemotherapy efficacy. Patients with left-sided tumors of CMS2/3 subtype have survival benefit by receiving adjuvant chemotherapy, which will aid in personalized treatment for stage II CRCs. Moreover, this test of CMS based on immunohistochemistry is cheap, not time consuming, and easily conducted in the laboratories of most hospitals.

The Critical Role of Tumor Size in Predicting Prognosis for T1 Colon Cancer.

BACKGROUND: The role of horizontal growth index of tumor size in survival prediction is still underappreciated in colon cancer because of the identification of vertical infiltration index reflected by T stage. We sought to reveal the impact of T stage on the prognostic and predictive value of tumor size in colon cancer. MATERIALS AND METHODS: Data of patients with stage I-III colon cancer were extracted from Surveillance, Epidemiology, and End Results Program (SEER) and Fudan University Shanghai Cancer Center (FUSCC) databases. Harrell's concordance index (c-index) and time-dependent receiver operating characteristic curve (ROC) were used to analyze the discriminative ability of prognostic factors. RESULTS: Stratified analyses based on T stage found that the increase of T stage significantly and negatively repressed the effect of tumor size on death and recurrence risk. In addition, tumor size showed the greatest hazard ratio of cancer-specific death and relapse in T1 colon cancer. Even more importantly, the discriminatory ability of tumor size outperformed any other widely accepted prognostic clinical features in predicting cancer-specific survival (SEER: c-index 0.637, area under the ROC [AUC] 0.649; FUSCC: c-index 0.673, AUC 0.686) and disease-free survival (FUSCC: c-index 0.645, AUC 0.656) in T1 stage colon cancer. CONCLUSION: Tumor size is a critical clinical factor with considerable prognostic and predictive value for T1 colon cancer, and it should be selectively incorporated into the current staging system to facilitate prediction of death and recurrence risk. IMPLICATIONS FOR PRACTICE: To date, no consensus has been reached about the prognostic and predictive value of tumor size in colon cancer. Although tumor size is an independent prognostic factor for patients with colon cancer, the impact of tumor size on death or recurrence risk decreased notably with the increase of T stage. More importantly, the discriminative ability of tumor size outperformed any other clinical factors including N stage in patients with T1 colon cancer. Therefore, tumor size should be recommended to be incorporated into current staging systems to facilitate prognosis prediction for patients with T1 colon cancer.

Establishment and validation of a novel nomogram incorporating clinicopathological parameters into the TNM staging system to predict prognosis for stage II colorectal cancer.

BACKGROUND: Survival outcomes are significantly different in stage II colorectal cancer (CRC) patients with diverse clinicopathological features. The objective of this study is to establish a credible prognostic nomogram incorporating easily obtained parameters for stage II CRC patients. METHODS: A total of 1708 stage II CRC patients seen at Fudan University Shanghai Cancer Center (FUSCC) from 2008 to 2013 were retrospectively analyzed in this study. Cases were randomly separated into a training set (n = 1084) and a validation set (n = 624). Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors that were subsequently incorporated into a nomogram. The performance of the nomogram was evaluated by the predicted concordance index (C-index) and ROC curve to calculate the area under the curve (AUC). The clinical utility of the nomogram was evaluated using decision curve analysis (DCA). RESULTS: In univariate and multivariate analyses, eight parameters were correlated with disease-free survival (DFS), which were subsequently selected to generate a prognostic nomogram based on DFS. For DFS predictions, the C-index values of the nomogram were 0.842 (95% confidence interval (CI) 0.710-0.980), and 0.701 (95% CI 0.610-0.770) for the training and validation sets, respectively. The AUC values of the ROC curves for the nomogram to predicted 1, 3 and 5-year survival were 0.869, 0.858, and 0.777 (training group) and 0.673, 0.714, and 0.706 (validation group), respectively. The recurrence probability calibration curve showed good consistency between actual observations and nomogram-based predictions. DCA showed better clinical application value for the nomogram than the TNM staging system. CONCLUSION: A novel nomogram was established and validated in a large population, and the nomogram is a simple-to-use tool for physicians to facilitate postoperative personalized prognostic evaluation and determine therapeutic strategies for stage II CRC patients.

FOXE1 represses cell proliferation and Warburg effect by inhibiting HK2 in colorectal cancer.

BACKGROUND: Low expression of FOXE1, a member of Forkhead box (FOX) transcription factor family that plays vital roles in cancers, contributes to poor prognosis of colorectal cancer (CRC) patients. However, the underlying mechanism remains unclear. MATERIALS AND METHODS: The effects of FOXE1 on the growth of colon cancer cells and the expression of glycolytic enzymes were investigated in vitro and in vivo. Molecular biological experiments were used to reveal the underlying mechanisms of altered aerobic glycolysis. CRC tissue specimens were used to determine the clinical association of ectopic metabolism caused by dysregulated FOXE1. RESULTS: FOXE1 is highly expressed in normal colon tissues compared with cancer tissues and low expression of FOXE1 is significantly associated with poor prognosis of CRC patients. Silencing FOXE1 in CRC cell lines dramatically enhanced cell proliferation and colony formation and promoted glucose consumption and lactate production, while enforced expression of FOXE1 manifested the opposite effects. Mechanistically, FOXE1 bound directly to the promoter region of HK2 and negatively regulated its transcription. Furthermore, the expression of FOXE1 in CRC tissues was negatively correlated with that of HK2. CONCLUSION: FOXE1 functions as a critical tumor suppressor in regulating tumor growth and glycolysis via suppressing HK2 in CRC.

Nomogram to predict the risk and survival of synchronous bone metastasis in colorectal cancer: a population-based real-world analysis.

PURPOSE: Bone metastasis (BM) can obviously affect the quality of life of patients in colorectal cancer (CRC), and the whole management of patients with BM would be attractive in current clinical practice. METHODS: A total of 52,859 patients during 2010-2015 were collected from Surveillance, Epidemiology, and End Results (SEER) database. After propensity score matching (PSM), cancer-specific survival (CCS) and overall survival (OS) with BM were adopted to assess survival probability difference. Logistic regression was used to identify risk factors for BM; COX proportion hazard regression was applied to explore prognosticators for OS in patients with BM. Subsequently, nomograms were constructed and receiver operating curves (ROCs) were used to confirm the validation of nomogram. RESULTS: Three hundred and forty-two (0.65%) patients were diagnosed with synchronous BM. After PSM, 16 variables were balanced. Tumor site, histology, grade, T stage, N stage, CEA, radiochemotherapy, surgery, and liver/lung/brain metastases were associated with BM, and histology, grade, T stage, N stage, CEA, chemotherapy, surgery, and liver/lung metastases were prognosticators for BM survival. Nomograms were applied and the ROC curve proved the predictive effects. CONCLUSION: CRC patients with BM have worse real-world survival. Nomogram can predict incidence of BM in CRC patients and survival among patients with BM.

Prognostic accuracy of different lymph node staging system in predicting overall survival in stage IV colon cancer.

PURPOSE: With emphasis of surgical management, the lymph node (LN) status has been advocated to predict prognosis in colon cancer with distant metastatic. Therefore, we tend to compare the prognostic performance of American Joint Committee on Cancer (AJCC) N-staging relative to lymph node ratio (LNR), log odds of metastatic lymph nodes (LODDS), and N-score in stage IV colon cancer. METHODS: About 20,961 patients who underwent primary surgical resection for stage IV colon cancer were extracted from Surveillance, Epidemiology, and End Results (SEER) Program database. Harrell's C statistic (C-index) and Akaike's Information Criterion (AIC) were used to distinguish the prognostic performance of the different LN-staging schemes. RESULTS: Of the 20,961 patients, 17,043 (81.3%) had been with lymph node metastasis, and the median number of examined lymph nodes (ELNs) was 15. When assessed as continuous values, the LODDS shown as the best system with greatest discriminatory power (C-index, 0.6241; AIC, 29114.29) generally and each subgroups divided by ELNs. When modeled as categorical cutoff variables for further clinical usage, the 8th AJCC N-stage outperformed the other three schemes with either ELNs less than 12 (C-index, 0.5770; AIC, 8992.638), between 12 and 25 (C-index, 0.6084; AIC, 13905.72), or more than 25(C-index, 0.6192; AIC, 3138.018) with increasing C-index and less AIC value. CONCLUSIONS: When assessed as categorical variables, N-stage performed superiorly regardless of ELNs. When assessed as a continuous variable, LODDS exhibited good discriminative ability and goodness of fit in predicting survival for colon cancer patients regardless of ELNs.

The safety and effectiveness of carbon nanoparticles suspension in tracking lymph node metastases of colorectal cancer: a prospective randomized controlled trial.

OBJECTIVE: This study was to evaluate the safety and effectiveness of carbon nanoparticles suspension in tracking lymph node metastases of colorectal cancer. METHODS: Eligible patients diagnosed with stages I-III colorectal cancer in Fudan University Shanghai Cancer Center between 1 May 2017 and 31 May 2018 fulfilling the inclusion criteria were included in this prospective randomized controlled study. All the patients were randomly allocated to two groups: the nanocarbon group and the control group. Patients' clinicopathological characteristics were compared between the nanocarbon group and the control group. For continuous variables, data were presented as mean (±SD) and differences between the two groups were compared by the Mann-Whitney U test; for categorical variables, data was presented as frequency (%) and the Pearson's chi-squared test was used to compare the differences between two groups. RESULTS: All the patients' characteristics between two groups did not achieve statistical significance (P > 0.05). Patients in nanocarbon group were more likely to be associated with more lymph nodes retrieved totally compared with control group (19.84 ± 6.428 vs. 17.41 ± 7.229, P < 0.001). The number of lymph nodes retrieved in nanocarbon group were more likely to be ≥12 than that in the control group (P = 0.005). CONCLUSIONS: Our study confirmed the safety of using carbon nanoparticles suspension as a tracer in colorectal cancer. More importantly, nanocarbon could significantly increase the detected number of lymph nodes in colorectal cancer, which can help improve the accuracy of lymph node staging and even improve patients' survival.

Increasing age-related survival gap among patients with colorectal cancer: a population-based retrospective study.

BACKGROUND: Survival for patients with colorectal cancer (CRC) has improved over the past decades. However, it is unclear whether older patients have benefited to the same extent as younger patients. METHODS: The Surveillance, Epidemiology, and End Results (SEER) 9 registries database was queried for CRC patients from 1975 to 2009. We presented yearly data for survival with overlying loess-smoothing lines across all age groups. Another cohort was created using the SEER 18 registries database for patients diagnosed with CRC from 1973 to 2014. Yearly data for surgery-performed rate, stage proportion, and multivariate hazard ratio were performed with overlying smoothing lines across all age groups. RESULTS: In the analysis SEER 9, 5-year cause-specific survival (CSS) of patients aged ≤ 54, 55-64, and 65-74 years showed robust increase since 1975; however, the survival of patients aged 75-84 years remained low despite modest improvement, and patients aged 85 or older even showed no survival gains since 1990. In the analysis of SEER 18, there has been a steady increase in the survival of patients aged ≤ 54, 55-64, 65-74, and 75-84 years as time period advanced; however, of CRC patients aged ≥ 85 years, the survival curves of period 1990-1999 and 2000-2012 could not be distinguished from each other presented with negligibly a small gap from the curve of 1980-1989. CONCLUSIONS: The strong interaction between age and year of diagnosis implies that older patients have benefited less over time than younger patients, especially for patients aged ≥ 85 years.

Prognostic and predictive value of an autophagy-related signature for early relapse in stages I-III colon cancer.

We postulated that expression differences of autophagy-related genes are instrumental in stratifying the risk of early relapse after surgery and evaluating the prognosis of patients with stages I-III colon cancer. Therefore, propensity score matching analysis was performed between patients in early relapse group and long-term survival group from GSE39582 test series and internal validation series. Using Cox regression model, a nine-autophagy-related signature (CAPN2, ATG16L2, TP63, SIRT1, RPS6KB1, PEX3, ATG5, UVRAG, NAF1) was established to classify patients into those at high risk of early relapse (high-risk group), and those at low risk of early relapse (low-risk group). Relapse-free survival (RFS) was significantly different between the two groups in test [hazard ratio (HR): 2.019, 95% confidence interval (CI): 1.362-2.992, P < 0.001], internal validation (HR: 2.464, 95% CI: 1.196-5.079, P < 0.001) and another two external validation series (GSE14333-HR: 2.250, 95% CI: 1.227-4.126, P = 0.007; GSE33113-HR: 5.552, 95% CI: 2.098-14.693, P < 0.001). Then, based on RFS, we developed a nomogram, integrating the nine-autophagy-related classifier and four clinicopathological risk factors to evaluate prognosis of stages I-III colon cancer patients. Time-dependent receiver operating curve at 2 years showed that the integrated signature (area under curve = 0.758) had better prognostic accuracy than American Joint Committee on Cancer TNM stage (area under curve = 0.620). In conclusion, we identified and built a nine-autophagy-related signature, a credible approach to early relapse prediction in stages I-III colon cancer patients, which can assist physicians in devising more efficient therapeutic strategies.

Prognostic nomograms for predicting cause-specific survival and overall survival of stage I-III colon cancer patients: a large population-based study.

BACKGROUND: The purpose of this study was to build functional nomograms based on significant clinicopathological features to predict cause-specific survival (CSS) and overall survival (OS) in patients with stage I-III colon cancer. METHODS: Data on patients diagnosed with stage I-III colon cancer between 2010 and 2015 were downloaded from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox analyses were used to identify independent prognostic factors, which were used to construct nomograms to predict the probabilities of CSS and OS. The performance of the nomogram was assessed by C-indexes, receiver operating characteristic (ROC) curves and calibration curves. Decision curve analysis (DCA) was used to compare clinical usage between the nomogram and the tumor-node-metastasis (TNM) staging system. RESULTS: Based on the univariate and multivariate analyses, features that correlated with survival outcomes were used to establish nomograms for CSS and OS prediction. The nomograms showed favorable sensitivity at predicting 1-, 3-, and 5-year CSS and OS, with a C-index of 0.78 (95% confidence interval (CI) 0.77-0.80) for CSS and 0.74 (95% CI 0.73-0.75) for OS. Calibration curves and ROC curves revealed excellent predictive accuracy. The clinically and statistically significant prognostic performance of the nomogram generated with the entire group of patients and risk scores was validated by a stratified analysis. DCA showed that the nomograms were more clinically useful than TNM stage. CONCLUSION: Novel nomograms based on significant clinicopathological characteristics were developed and can be used as a tool for clinicians to predict CSS and OS in stage I-III colon cancer patients. These models could help facilitate a personalized postoperative evaluation.

Epidemiology of and prognostic factors for appendiceal carcinomas: a retrospective, population-based study.

BACKGROUND: The aim of this study is to evaluate the epidemiology of and prognostic factors for appendiceal carcinomas (ACs). METHODS: All cases of ACs registered in the Surveillance, Epidemiology, and End Results (SEER) database from 1973 to 2014 were retrospectively identified in this study. Age-adjusted incidence and survival rates were calculated. RESULTS: We analyzed 7170 patients with ACs. We observed a significant increase in the reported annual age-adjusted incidence of ACs from 1973 (0.18/100,000) to 2014 (1.11/100,000). The elevation of the incidence was noted in all the histological types, stages, and grades. The most common histological type varied by race, with the appendiceal mucinous adenocarcinoma (AMA) being the most common in white, Asian/Pacific Islander, and American Indian/Alaskan Native patients, and the appendiceal adenocarcinoma (AA) being the most common in African American patients. In multivariate analysis of patients with all ACs, gender (P < 0.001), year of diagnosis (P < 0.001), age (P < 0.001), race (P < 0.001), tumor grade (P < 0.001), disease stage (P < 0.001), retrieved regional lymph nodes (P < 0.001), type of surgery performed (P = 0.002), and histologic subtype (P < 0.001) were predictors of outcome. Survival time for all ACs increased from the 1973-1993 period to the 1994-2014 period (HR 0.76; 95% CI, 0.69 to 0.85). Additionally, the 5-year survival rates were 88% for malignant carcinoid, 70% for goblet cell carcinoid, 51% for colonic type adenocarcinoma, 59% for mucinous adenocarcinoma, and 25% for signet ring cell type. CONCLUSIONS: We observed increased reported incidence of ACs and increased survival durations over time, suggesting that clinicians pay more attention to ACs and mastering the characteristic of these tumors.

Transcriptome profiling reveals an integrated mRNA-lncRNA signature with predictive value of early relapse in colon cancer.

The purpose of our study was to develop a multigene signature based on transcriptome profiles of both mRNAs and lncRNAs to identify a group of patients who are at high risk of early relapse in stages II-III colon cancer. Firstly, propensity score matching was conducted between patients in early relapse group and long-term survival group from GSE39582 training series (N = 359) and patients were matched 1:1. Global transcriptome analysis was then performed between the paired groups to identify tumor specific mRNAs and lncRNAs. Finally, using LASSO Cox regression model, we built a multigene early relapse classifier incorporating 15 mRNAs and three lncRNAs. The prognostic and predictive accuracy of the signature was internally validated in 102 colon cancer patients and externally validated in other 241 patients. In the training set, patients with high risk score were more likely to suffer from relapse than those with low risk score (HR: 2.67, 95% CI: 2.07-3.46, P < 0.001). The results were validated in the internal validation set (HR: 2.23, 95% CI: 1.23-3.78, P = 0.003) and external validation (HR 1.88, 95% CI 1.42-2.48; P < 0.001) set. Time-dependent receiver operating curve at 1 year showed that the integrated mRNA-lncRNA signature [area under curve (AUC) = 0.742] had better prognostic accuracy than AJCC TNM stage (AUC = 0.615) in the entire 702 patients. In addition, survival decision curve analyses at 12 months revealed a good clinical usefulness of the integrated mRNA-lncRNA signature. In conclusion, we successfully developed an integrated mRNA-lncRNA signature that can accurately predict early relapse.

Clinicopathologic Features and Prognostic Factors in Alpha-Fetoprotein-Producing Colorectal Cancer: Analysis of 78 Cases.

BACKGROUND/AIMS: Alpha-fetoprotein-producing colorectal cancer (AFPP-CRC) is quite rarely seen. This study aimed to elucidate the clinicopathologic characteristics and prognostic factors of AFPP-CRC. METHODS: Among 5,051 colorectal cancer patients receiving surgery in the Fudan University Shanghai Cancer Center from 2006 to 2016, we identified 78 patients with elevated serum level of AFP (> 10 µg/L) preoperatively. A propensity score matching (PSM) analysis was performed which matched 75 AFPP-CRC patients to the same number of AFP-negative colorectal cancer (AFPN-CRC) patients. Kaplan-Meier curves were compared using the log-rank test and multivariable analysis was performed to evaluate the effect of AFP-positivity while adjusting confounding factors. 27 patients were available for immunohistochemical analysis. We conducted functional experiments to characterize the tumorigenicity of AFP. RESULTS: Patients with AFPP-CRC had a significantly higher incidence of advanced TNM stage and liver metastasis. Overall survival was significantly different between two groups before and after PSM, and AFP-positivity was one of the strongest predictors of overall survival in the multivariable model (HR 4.11, CI 95%: 1.43-11.76, p = 0.009) after PSM. We further investigated prognostic factors affecting prognosis in AFPP-CRC and found that the presence of liver metastasis was the only independent prognostic factor (HR 4.95, CI 95%: 1.48-16.48, p = 0.009). AFP expression was significantly positively correlated with HGF and c-Met expression. Transwell invasion assay revealed significantly increased cell motility with AFP overexpression. CONCLUSION: AFP-positivity is a significant negative predictor of overall survival in patients with colorectal cancer, which may be mediated by HGF/c-Met signaling pathway.

The effect of marital status by age on patients with colorectal cancer over the past decades: a SEER-based analysis.

OBJECTIVE: Marital status has been found as an independent prognostic factor for survival in colorectal cancer (CRC). However, it is unclear whether patients with different marital status have benefited the same from the treatment improvement. METHODS: We queried the Surveillance, Epidemiology, and End Results (SEER) 9 database for patients diagnosed with CRC from 1975 to 2009. Yearly survival data was presented with overlying loess smoothing lines, stratifying by marital status. We further referred to the SEER 18 database for patients diagnosed with CRC from 1973 to 2014. We also performed yearly data for stage proportion, surgery-performed rate, cancer-specific survival (CSS), and multivariate hazard ratio with overlying loess smoothing lines across all marital status. RESULTS: Five-year CSS of married, single, and separated/divorced patients showed remarkable increase since 1975; however, survival of widowed patients remained low and no survival gains were observed since 1990. The same trends persisted after stratifying patients by stage and gender. Married and widowed patients tended to have more localized disease and less distant disease compared with the other two groups, and married patients were more likely to receive surgery. Multivariate analysis revealed the hazard ratio of widowed patients dropped dramatically when including age at diagnosis. CONCLUSIONS: Widowed patients have not benefited substantially from the remarkable treatment improvement over the past four decades, which may be the result of the older age of this particular group. This study is a wake-up call to the medical community for additional care for the widowed patients.