Serum high-temperature-required protein A2: A potential biomarker for the diagnosis of breast cancer

Ghafar, Muhammad Tarek Abdel; Gharib, Fatma; Al-Ashmawy, Ghada M.; Mariah, Reham A.

doi:10.1016/j.genrep.2020.100706

Cited by 31 publications

(17 citation statements)

References 29 publications

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“…Novel markers related to tumor stage and prognosis have recently been identified, including octamer-binding transcription factor 4 in gastric carcinoma, 31 serum metadherin mRNA in colorectal cancer, 32 and serum high-temperature-required protein A2 in breast cancer. 33 Similar to these previous studies, the current results provide a new strategy for predicting tumor severity.…”

Section: Discussionsupporting

confidence: 82%

Application of Thromboelastography to Predict Lung Cancer Stage

Zhou

Guo

Cui

et al. 2020

Technol Cancer Res Treat

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Objective: Lung cancer is often associated with hypercoagulability. Thromboelastography provides integrated information on clot formation in whole blood. This study explored the possible relationship between thromboelastography and lung cancer. Methods: Lung cancer was staged according to the Tumor, Node, and Metastasis (TNM) classification system. Thromboelastography parameters in different stages of disease were compared. The value of thromboelastography for stage prediction was determined by area under the receiver operating characteristic curve analysis. Results: A total of 182 patients diagnosed with lung cancer were included. Thromboelastography parameters, including kinetics time, α-angle, and maximum amplitude, differed significantly between patients with metastatic and limited lung cancers ( P < 0.05). Kinetics time was significantly reduced and maximum amplitude was significantly increased in patients with stage I and II compared with stage III and IV tumors ( P < 0.05). TNM stage was significantly negatively correlated with kinetics time ( r = −0.186), and significantly positively correlated with α-angle ( r = 0.151) and maximum amplitude ( r = 0.251) (both P < 0.05). The area under the curve for kinetics time in patients with stage I cancer was 0.637 ( P < 0.05) and that for α-angle in stage ≥ II was 0.623 ( P < 0.05). The areas under the curves for maximum amplitude in stage ≥ III and stage IV cancer were 0.650 and 0.605, respectively (both P < 0.05). Thromboelastography parameters were more closely associated with TNM stage in patients with lung adenocarcinoma than in the whole lung cancer population. Conclusion: This study identified the diagnostic value of thromboelastography parameters for determining tumor stage in patients with lung cancer. Thromboelastography can be used as an independent predictive parameter for lung cancer severity.

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Section: Discussionsupporting

confidence: 82%

Application of Thromboelastography to Predict Lung Cancer Stage

Zhou

Guo

Cui

et al. 2020

Technol Cancer Res Treat

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“…Currently available treatment modalities against BCa include complete resection, chemotherapy, and radiotherapy depending on the different disease subtypes. The identification of biomarker is of great important for different cancers, including colorectal cancer [ 2 ], gastric cancer [ 3 ], breast cancer [ 4 ] and chronic myeloid leukemia [ 5 , 6 ]. A successful outcome of the treatment for BCa largely depends on early diagnosis and the availability of personalized therapy [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

KPNA2 interaction with CBX8 contributes to the development and progression of bladder cancer by mediating the PRDM1/c-FOS pathway

Zeng

Luo

et al. 2021

J Transl Med

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Background Bladder cancer (BCa) is a common malignancy characterized by high heterogeneity, yet the current treatment modalities are limited. The aim of the present investigation was to unravel the functional role of Karyopherin alpha 2 (KPNA2), a tumor facilitator identified in multiple malignancies, in the progression of BCa. Methods BCa tissues and adjacent normal tissues were surgically resected and analyzed from patients with BCa to determine the expression profile of KPNA2 and Chromobox 8 (CBX8) by RT-qPCR, Western blot analysis and immunohistochemistry. The relationship among KPNA2, CBX8 and PR domain zinc finger protein 1 (PRDM1) was explored by co-immunoprecipitation and chromatin-immunoprecipitation. The functions of KPNA2, CBX8 and PRDM1 on BCa cell proliferation, migration and invasion were evaluated. Next, a nude mouse model of BCa was established for validating the roles of KPNA2, CBX8 and PRDM1 in vivo. Results KPNA2 and CBX8 were highly expressed in BCa and are in association with dismal oncologic outcomes of patients with BCa. KPNA2 promoted nuclear import of CBX8. CBX8 downregulated PRDM1 by recruiting BCOR in the promoter region of PRDM1. Overexpression of KPNA2 promoted the malignant behaviors of BCa cells, which was counteracted by silencing of CBX8. Overexpressing PRDM1 attenuated the progression of BCa by inhibiting c-FOS expression. The tumor-promoting effects of KPNA2 via the PRDM1/c-FOS pathway were also validated in vivo. Conclusion Collectively, our findings attached great importance to the interplay between KPNA2 and CBX8 in BCa in mediating the development and progression of BCa, thus offering a promising candidate target for better BCa patient management.

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“…Recently, the rapidly developed molecular technique has led to an expansion of knowledge regarding the pathogenesis of diseases, and several molecular biomarkers have been suggested to predict the relapse and the prognostic outcomes for cancers [ 5 – 8 ], including ALL. For example, Jia et al [ 9 ] identified that the midkine gene (MK) may be a possible prognostic marker.…”

Section: Introductionmentioning

confidence: 99%

Identification of a Seven-lncRNA-mRNA Signature for Recurrence and Prognostic Prediction in Relapsed Acute Lymphoblastic Leukemia Based on WGCNA and LASSO Analyses

Chi

Wang

et al. 2021

Analytical Cellular Pathology

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Abnormal expressions of long noncoding RNAs (lncRNAs) and protein-encoding messenger RNAs (mRNAs) are important for the development of childhood acute lymphoblastic leukemia (ALL). This study developed an lncRNA-mRNA integrated classifier for the prediction of recurrence and prognosis in relapsed childhood ALL by using several transcriptome data. Weighted gene coexpression network analysis revealed that green, turquoise, yellow, and brown modules were preserved across the TARGET, GSE60926, GSE28460, and GSE17703 datasets, and they were associated with clinical relapse and death status. A total of 184 genes in these four modules were differentially expressed between recurrence and nonrecurrence samples. Least absolute shrinkage and selection operator analysis showed that seven genes constructed a prognostic signature (including one lncRNA: LINC00652 and six mRNAs: INSL3, NIPAL2, REN, RIMS2, RPRM, and SNAP91). Kaplan-Meier curve analysis observed that patients in the high-risk group had a significantly shorter overall survival than those of the low-risk group. Receiver operating characteristic curve analysis demonstrated that this signature had high accuracy in predicting the 5-year overall survival and recurrence outcomes, respectively. LINC00652 may function by coexpressing with the above prognostic genes (INSL3, SNAP91, and REN) and lipid metabolism-related genes (MIA2, APOA1). Accordingly, this lncRNA-mRNA-based classifier may be clinically useful to predict the recurrence and prognosis for childhood ALL. These genes represent new targets to explain the mechanisms for ALL.

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Serum high-temperature-required protein A2: A potential biomarker for the diagnosis of breast cancer

Cited by 31 publications

References 29 publications

Application of Thromboelastography to Predict Lung Cancer Stage

Application of Thromboelastography to Predict Lung Cancer Stage

KPNA2 interaction with CBX8 contributes to the development and progression of bladder cancer by mediating the PRDM1/c-FOS pathway

Identification of a Seven-lncRNA-mRNA Signature for Recurrence and Prognostic Prediction in Relapsed Acute Lymphoblastic Leukemia Based on WGCNA and LASSO Analyses

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