S100A8<sup>+</sup>stroma cells predict a good prognosis and inhibit aggressiveness in colorectal carcinoma

Li, Si; Xu, Fangying; Li, Hui; Zhang, Jing; Zhong, Anjing; Huang, Bin; Lai, Maode

doi:10.1080/2162402x.2016.1260213

Cited by 25 publications

(21 citation statements)

References 51 publications

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“…Identical settings were used for each photograph. The numbers of positive cells were counted and recorded using a computer‐automated method (Image‐Pro Plus 6.0, Media Cybernetics) as previously described . Figure presents the spot and the captured spot (×200) with image software.…”

Section: Methodsmentioning

confidence: 99%

Prediction of overall survival in resectable intrahepatic cholangiocarcinoma: IS_ICC‐applied prediction model

et al. 2020

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Intrahepatic cholangiocarcinoma (ICC) remains a highly heterogeneous disease with poor prognosis. Tumor-infiltrating lymphocytes were predictive in various cancers, but their prognostic value in ICC is less clear. A total of 168 ICC patients who had received liver resection were enrolled and assigned to the derivation cohort. Sixteen immune markers in tumor and peritumor regions were examined by immunohistochemistry. A least absolute shrinkage and selection operator model was used to identify prognostic markers and to establish an immune signature for ICC (IS ICC ). An IS ICC -applied prediction model was built and validated in another independent dataset. Five immune features, including CD3 peritumor (P) , CD57 P , CD45RA P , CD66b intratumoral (T) and PD-L1 P , were identified and integrated into an individualized IS ICC for each patient. Seven prognostic predictors, including total bilirubin, tumor numbers, CEA, CA19-9, GGT, HBsAg and IS ICC , were integrated into the final model. The C-index of the IS ICC -applied prediction model was 0.719 (95% CI, 0.660-0.777) in the derivation cohort and 0.667 (95% CI, 0.581-0.732) in the validation cohort. Compared with the conventional staging systems, the new model presented better homogeneity and a lower Akaike information criteria value in ICC. The IS ICC -applied prediction model may provide a better prediction performance for the overall survival of patients with resectable ICC in clinical practice. K E Y W O R D S immune-infiltrating cells, intrahepatic cholangiocarcinoma, liver cancer, prognosis, survival prediction 1 | INTRODUC TI ON Intrahepatic cholangiocarcinoma (ICC), arising from the epithelial cells of segmental or proximal branches of the bile duct, accounts for 5%-30% of all primary liver malignancies. 1 The incidence and mortality rates of ICC have increased globally over the past 30 years, indicating that ICC has become a growing clinical problem. 2,3 Surgical resection is the mainstay of curative treatment and is associated with improved survival in selected ICC patients.

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Section: Methodsmentioning

confidence: 99%

Prediction of overall survival in resectable intrahepatic cholangiocarcinoma: IS_ICC‐applied prediction model

et al. 2020

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“…Next, the sections were incubated with HRP-conjugated secondary antibody at 37 °C for 30 min, rinsed with TBS for 5 min, counterstained with Harris hematoxylin for 1 min, dehydrated and mounted on coverslips. The investigators evaluated the IHC staining based on the mean optical density (MOD) as previously described in published works [ 14 , 15 ]. All sections were scanned on NanoZoomer slide scanners (NanoZoomer-XR C12000, Hamamatsu) and viewed with NDP.view software (NDP.view2 U12388–01, Hamamatsu).…”

Section: Methodsmentioning

confidence: 99%

The role of CD28 in the prognosis of young lung adenocarcinoma patients

et al. 2020

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Background The prognosis of lung cancer was found to be associated with a series of biomarkers related to the tumor immune microenvironment (TIME), which can modulate the biological behaviors and consequent outcomes of lung cancer. Therefore, establishing a prognostic model based on the TIME for lung cancer patients, especially young patients with lung adenocarcinoma (LUAD), is urgently needed. Methods In all, 809 lung cancer patients from the TCGA database and 71 young patients with LUAD in our center were involved in this study. Univariate and multivariate analysis based on clinical characteristics and TIME-related expression patterns (as evaluated by IHC) were performed to estimate prognosis and were verified by prognostic nomograms. Results Both LUAD and lung cancer patients with high CD28 expression had shorter disease-free survival (DFS) (P = 0.0011; P = 0.0001) but longer overall survival (OS) (P = 0.0001; P = 0.0282). TIME-related molecules combined with clinical information and genomic signatures could predict the prognosis of young patients with LUAD with robust efficiency and could be verified by the established nomogram based on the Cox regression model. In addition, CD28 expression was correlated with an abundance of lymphocytes and could modulate the TIME. Higher CD28 levels were observed in primary tumors than in metastatic tissues. Conclusion TIME-related molecules were identified as compelling biomarkers for predicting the prognosis of lung cancer, especially in a cohort of young patients. Furthermore, CD28, which is associated with poor DFS but long OS, might participate in the modulation of the TIME and has a different role in the prognosis of young patients with LUAD.

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“…High-resolution spot images (1360 × 1024) were obtained and stored under TIFF format. All the consecutive images were analyzed using a computer-automated method (Image-pro plus 6.0, Media Cybernetics Inc.) as described elsewhere [33]. The spot and captured spot (× 200) with image software are presented in Additional file 3: Figure S2.…”

Section: Methodsmentioning

confidence: 99%

Tissue-infiltrating lymphocytes signature predicts survival in patients with early/intermediate stage hepatocellular carcinoma

Tian

Liu

Wang

et al. 2019

BMC Med

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Background Intratumoral immune infiltrates have manifested a robust prognostic signature in patients with hepatocellular carcinoma (HCC). We hypothesized that a novel tissue-related immune signature (TRIS) could improve the prediction of postoperative survival for patients diagnosed with early/intermediate HCC. Methods Twenty-eight immune features were immunohistochemically examined on 352 HCC specimens. The LASSO Cox regression model was used to construct a five-feature-based TRIS. The univariate and multivariate Cox analyses were performed. Based on independent predictors, the immune-clinical prognostic index (ICPI) was established. Performance assessment was measured with C-index and compared with seven traditional staging systems. The independent validation cohort ( n = 393) was included to validate the model. Results By using the LASSO method, the TRIS were constructed on the basis of five immune features, CD3 intratumoral (T) , CD27 T , CD68 peritumoral (P) , CD103 T , and PD1 T . Multivariate Cox analysis showed that the TRIS was an independent prognostic predictor. In the training cohort, γ-glutamyl transferase, tumor diameter, tumor differentiation, and TRIS were incorporated into the ICPI. The ICPI presented satisfactory discrimination ability, with C-index values of 0.691 and 0.686 in the training and validation cohorts, respectively. Compared with seven conventional staging systems (C-index, training cohort, 0.548–0.597; validation cohort, 0.519–0.610), the ICPI exhibited better performance for early/intermediate-stage HCCs. Further, the patients were categorized into three subgroups with X-tile software, and the stratified ICPI presented a superior corrected Akaike information criterion and homogeneity in both cohorts. Conclusions Our ICPI was a useful and reliable prognostic tool which may offer good individualized prediction capability for HCC patients with early/intermediate stage. Electronic supplementary material The online version of this article (10.1186/s12916-019-1341-6) contains supplementary material, which is available to authorized users.

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S100A8⁺stroma cells predict a good prognosis and inhibit aggressiveness in colorectal carcinoma

Cited by 25 publications

References 51 publications

Prediction of overall survival in resectable intrahepatic cholangiocarcinoma: IS_ICC‐applied prediction model

Prediction of overall survival in resectable intrahepatic cholangiocarcinoma: IS_ICC‐applied prediction model

The role of CD28 in the prognosis of young lung adenocarcinoma patients

Tissue-infiltrating lymphocytes signature predicts survival in patients with early/intermediate stage hepatocellular carcinoma

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S100A8+stroma cells predict a good prognosis and inhibit aggressiveness in colorectal carcinoma

Cited by 25 publications

References 51 publications

Prediction of overall survival in resectable intrahepatic cholangiocarcinoma: ISICC‐applied prediction model

Prediction of overall survival in resectable intrahepatic cholangiocarcinoma: ISICC‐applied prediction model

The role of CD28 in the prognosis of young lung adenocarcinoma patients

Tissue-infiltrating lymphocytes signature predicts survival in patients with early/intermediate stage hepatocellular carcinoma

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S100A8⁺stroma cells predict a good prognosis and inhibit aggressiveness in colorectal carcinoma

Prediction of overall survival in resectable intrahepatic cholangiocarcinoma: IS_ICC‐applied prediction model

Prediction of overall survival in resectable intrahepatic cholangiocarcinoma: IS_ICC‐applied prediction model