Prognostic value of CT radiomics in evaluating lymphovascular invasion in rectal cancer: Diagnostic performance based on different volumes of interest.

OBJECTIVES: This study aims to evaluate diagnostic performance of radiomic analysis using computed tomography (CT) to identify lymphovascular invasion (LVI) in patients diagnosed with rectal cancer and assess diagnostic performance of different lesion segmentations. METHODS: The study is applied to 169 pre-treatment CT images and the clinical features of patients with rectal cancer. Radiomic features are extracted from two different volumes of interest (VOIs) namely, gross tumor volume and peri-tumor tissue volume. The maximum relevance and the minimum redundancy, and the least absolute shrinkage selection operator based logistic regression analyses are performed to select the optimal feature subset on the training cohort. Then, Rad and Rad-clinical combined models for LVI prediction are built and compared. Finally, the models are externally validated. RESULTS: Eighty-three patients had positive LVI on pathology, while 86 had negative LVI. An optimal multi-mode radiology nomogram for LVI estimation is established. The area under the receiver operating characteristic curves of the Rad and Rad-clinical combined model in the peri-tumor VOI group are significantly higher than those in the tumor VOI group (Rad: peri-tumor vs. tumor: 0.85 vs. 0.68; Rad-clinical: peri-tumor vs. tumor: 0.90 vs 0.82) in the validation cohort. Decision curve analysis shows that the peri-tumor-based Rad-clinical combined model has the best performance in identifying LVI than other models. CONCLUSIONS: CT radiomics model based on peri-tumor volumes improves prediction performance of LVI in rectal cancer compared with the model based on tumor volumes.

Overexpression of AMPD2 indicates poor prognosis in colorectal cancer patients via the Notch3 signaling pathway.

BACKGROUND: AMPD2 is a critical enzyme catalyzing smooth muscle energy supply and metabolism; however, its cellular biological function and clinical implication in colorectal cancer (CRC) are largely unknown. AIM: To clarify the role of AMPD2 in CRC and study the pathway and prognostic value of its role. METHODS: AMPD2 expression was analyzed by integrated bioinformatics analysis based on TCGA data sets and immunohistochemistry in tissue microarrays, and the correlation between AMPD2 expression and clinicopathological parameters, Notch3 expression, and prognostic features was assessed. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis were then performed to investigate the regulatory pathway involved. The effects of AMPD2 expression on CRC cells and Notch3 protein expression were investigated by downregulation and overexpression of AMPD2. RESULTS: AMPD2 mRNA was significantly overexpressed in tumor tissue when compared with normal tissue in a cohort of the TCGA-COAD data set. Biological function enrichment analysis indicated that the Notch pathway strongly correlated with AMPD2 expression, and that the expression of Notch3 and JAG2 mRNA was positively associated with AMPD2 in CRC tissues. In vitro, AMPD2 overexpression markedly reduced Notch3 protein expression in CRC cells, while knockdown of AMPD2 showed the opposite findings. In addition, protein expression was significantly up-regulated in our CRC cohort as indicated by tissue microarray analysis. High expression of AMPD2 protein correlated with advanced depth of tumor and poor differentiation. Furthermore, high AMPD2 expression in CRC tissues was an indicator of poor outcome for CRC patients. CONCLUSION: AMPD2 is commonly overexpressed in CRC, and acts as a metabolism oncogene to induce CRC progression through the Notch signaling pathway. Thus, AMPD2 may be a novel prognostic biomarker for CRC.

Glucose deprivation induces chemoresistance in colorectal cancer cells by increasing ATF4 expression.

AIM: To investigate the role of activating transcription factor 4 (ATF4) in glucose deprivation (GD) induced colorectal cancer (CRC) drug resistance and the mechanism involved. METHODS: Chemosensitivity and apoptosis were measured under the GD condition. Inhibition of ATF4 using short hairpin RNA in CRC cells under the GD condition and in ATF4-overexpressing CRC cells was performed to identify the role of ATF4 in the GD induced chemoresistance. Quantitative real-time RT-PCR and Western blot were used to detect the mRNA and protein expression of drug resistance gene 1 (MDR1), respectively. RESULTS: GD protected CRC cells from drug-induced apoptosis (oxaliplatin and 5-fluorouracil) and induced the expression of ATF4, a key gene of the unfolded protein response. Depletion of ATF4 in CRC cells under the GD condition can induce apoptosis and drug re-sensitization. Similarly, inhibition of ATF4 in the ATF4-overexpressing CRC cells reintroduced therapeutic sensitivity and apoptosis. In addition, increased MDR1 expression was observed in GD-treated CRC cells. CONCLUSION: These data indicate that GD promotes chemoresistance in CRC cells through up-regulating ATF4 expression.

[Significance and expression of p53, p21(Cip1/WAF1) and Gadd45α in breast neoplasm tissues].

OBJECTIVE: To explore the expression and significance of p53, p21(Cip1/WAF1) and Gadd45α protein in breast cancer and their correlations with clinicopathologic features and prognosis in breast cancer. METHODS: The expressions of p53, p21(Cip1/WAF1) and Gadd45α proteins were determined by immunohistochemical staining. The relationship between these three proteins and clinicopathologic features in breast cancer was analyzed by χ(2) test and Spearman's rank correlation analysis. And the survival analyses were performed with the Kaplan-Meier method and Cox regression. The differences between the curves were examined with the two-tailed Log-rank test. RESULTS: In 133 cases of invasive breast cancer, the positive rates of p53, p21(Cip1/WAF1) and Gadd45α protein were 58.6%, 47.4% and 41.4% respectively. The expressions of p21(Cip1/WAF1) and p53 in cancer were significantly higher than those in the adjacent mammary gland tissue (P < 0.05) while the expression of Gadd45α was lower than that in the control mammary gland tissue (P < 0.05). The positive rate of p21(Cip1/WAF1) was correlated with the histological stage, local recurrence and positive C-erbB-2. And the positive rate of Gadd45α was correlated with the histological stage, lymph node metastasis, metastasis and positive estrogen receptor/progesterone receptor (ER/PR). The positive rate of p53 was correlated with the lymph node metastasis and TNM stage. Spearman's rank correlation analysis showed that p21(Cip1/WAF1) was correlated positively with p53, p53 negatively with Gadd45α while p21(Cip1/WAF1) had no correlation with Gadd45α. With the follow-up data, Kaplan-Meier analysis showed that p21(Cip1/WAF1), Gadd45α, p53, lymph node metastasis, C-erbB-2 positive and TMN stage were associated with prognosis. Furthermore, Cox stepwise hazard analysis shows that p21(Cip1/WAF1), Gadd45α, C-erbB-2 and TMN stage were correlated with prognosis of breast cancer. Also the Kaplan-Meier analysis showed that p53(+)Gadd45α(-) and p53(+)p21(Cip1/WAF1)(+) were correlated with a poor prognosis of breast cancer. CONCLUSIONS: The expressions of p21(Cip1/WAF1), Gadd45α and p53 are associated with the clinicopathologic features and prognosis in breast cancer. Indicating a poor prognosis of breast cancer, p53(+)Gadd45α(-) and p53(+)p21(Cip1/WAF1)(+) may become independent indices for prognostic evaluations.