Combination immunohistochemistry for SMAD4 and Runt-related transcription factor 3 may identify a favorable prognostic subgroup of pancreatic ductal adenocarcinomas

Lee, Yangkyu; Lee, Hyejung; Park, Hyunjin; Kim, Jin Won; Hwang, Jin Hyeok; Kim, Jaihwan; Yoon, Yoo Seok; Han, Ho Seong; Kim, Haeryoung

doi:10.18632/oncotarget.20815

Cited by 3 publications

(1 citation statement)

References 26 publications

(23 reference statements)

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“…Su et al reported that TF 7 served as a poor prognostic marker of glioblastoma multiforme by enhancing proliferation by upregulating c-myc [9]. Lee et al suggested that combination immunohistochemistry for SMAD4 and runt-related TF 3 may determine a favorable prognostic subgroup of pancreatic ductal adenocarcinomas [10]. Fan et al reported that microRNA-301a-3p overexpression may contribute to cell invasion and proliferation by targeting runtrelated TF 3 in prostate cancer [11].…”

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confidence: 99%

A 14 transcription factors-associated nomogram predicts the recurrence-free survival of gastric cancer

Ma¹,

Chen

Yang

et al. 2020

Preprint

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Background: We aimed to construct and validate a novel transcription factors (TFs) signature for the prediction of gastric cancer (GC) patient’s recurrence-free survival (RFS) from TCGA and Gene Expression Omnibus (GEO) database and improve the predictive ability of RFS in GC patients.Methods: We searched TCGA database and GEO database to obtain gene expression data and related clinical information for GC. In total, 722 TFs and 384 GC patients with intact clinical information were identified to develop a novel TF signature. All TFs were included in a univariate Cox regression model. We then used the least absolute shrinkage and selection operator (LASSO) Cox regression model which included only TFs with P < 0.05 in the univariate model to identify candidate TFs related to RFS. After further adjustment, multivariate Cox regression was performed based on the candidate TFs for the identification of TF signatures in the RFS evaluation of GC patients.Results: We successfully confirmed the high ability of the 14-TF panel for predicting GC patients’ RFS by receiver operating characteristic (ROC). AUCs at 1, 3, 5 years in internal validation dataset were 0.827, 0.817, 0.811, respectively. Some similar results were calculated in external validation dataset (0.808, 0.907, 0.813, respectively) and entire dataset (0.815, 0.849, 0.801, respectively). Besides, our model makes a good distinction between the high-risk group and the low-risk group. Furthermore, a nomogram was developed via risk score, sex, cancer status and tumor grade, and C-index, ROC, the calibration plots as well as decision curve analysis (DCA) demonstrated good ability and clinical application of the nomogram.Conclusions: We successfully established and validated a novel 14-TF-associated nomogram for predicting the RFS of GC.

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confidence: 99%

A 14 transcription factors-associated nomogram predicts the recurrence-free survival of gastric cancer

Ma¹,

Chen

Yang

et al. 2020

Preprint

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Prognostic stratification of resected pancreatic ductal adenocarcinoma: Past, present, and future

Barhli

Cros

Bartholin

et al. 2018

Digestive and Liver Disease

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Tumour and stroma RNA signatures predict more accurately distant recurrence than clinicopathological factors in resected pancreatic adenocarcinoma

Hilmi

Cros²,

Puleo³

et al. 2021

European Journal of Cancer

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Background: Few patients with pancreatic adenocarcinoma (PAC) are eligible for surgery. Patients with early relapse have a poor prognosis and might be better candidates for a medical approach. Clinical and pathological parameters only partially predict recurrence and are only obtained after surgery. PAC subtypes based on gene expression were proposed, and we assessed if they could predict the risk and type of recurrence independently of

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Combination immunohistochemistry for SMAD4 and Runt-related transcription factor 3 may identify a favorable prognostic subgroup of pancreatic ductal adenocarcinomas

Cited by 3 publications

References 26 publications

A 14 transcription factors-associated nomogram predicts the recurrence-free survival of gastric cancer

A 14 transcription factors-associated nomogram predicts the recurrence-free survival of gastric cancer

Prognostic stratification of resected pancreatic ductal adenocarcinoma: Past, present, and future

Tumour and stroma RNA signatures predict more accurately distant recurrence than clinicopathological factors in resected pancreatic adenocarcinoma

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