Prognostic significance of CHAC1 expression in breast cancer

Mehta, Vikrant; Meena, Jaipal; Kasana, Harit; Munshi, Anjana; Chander, Harish

doi:10.1007/s11033-022-07673-x

Cited by 21 publications

(16 citation statements)

References 54 publications

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“…Moreover, CHAC2 over-expression in the HER2 and TNBC is indicative of the fact that high CHAC2 may serve as a biomarker for these aggressive subtypes. Another member of the CHAC family, CHAC1 has been previously reported to be highly expressed in these subtypes, and on similar lines, CHAC2 also showed a prognostic significance as per survival curves obtained from the Kaplan-Meier plotter (15). p53 also known as the "guardian of the genome" is mutated in more than 50% of human tumors (34).…”

Section: Discussionmentioning

confidence: 71%

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Cancer informatics analysis indicates high CHAC2 associated with unfavorable prognosis in breast cancer

et al. 2022

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Breast cancer remains the most commonly diagnosed cancer worldwide and exhibits a poor prognosis. The induction of genetic changes deregulates several genes that increase the disposal towards this life-threatening disease. CHAC2, a member of the glutathione degrading enzyme family has been shown to suppress gastric and colorectal cancer progression, however, the expression of CHAC2 in breast cancer has not been reported. We did an analysis of CHAC2 expression in breast cancer patients from various online tools like UALCAN, GEPIA2, GENT2, TIMER2, and bcGenExminer v4.8. Further, we used the Kaplan-Meier plotter to establish the significance of CHAC2 in BC patient survival and prognosis while TISIDB and TIMER databases were used to investigate the filtration of immune cells. The results showed that CHAC2 levels were high in breast cancer patients and elevated CHAC2 was associated with low overall survival. Taken together, the results of the present study show that like its paralog CHAC1, CHAC2 may also be an important biomarker and could have a potential therapeutic implication in breast cancer.

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Section: Discussionmentioning

confidence: 71%

“…We have recently shown that high levels of CHAC1 are associated with increased proliferation, lymph node metastasis, and poor prognosis in breast cancer (15,16). However, the expression of CHAC2 in breast cancer and its association with the prognosis of breast cancer is unknown.…”

Section: Introductionmentioning

confidence: 99%

Cancer informatics analysis indicates high CHAC2 associated with unfavorable prognosis in breast cancer

et al. 2022

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“…Similarly, the overall high CHAC1 expression in breast cancer samples significantly impacted patient prognosis and survival. Therefore, high CHAC1 expression in breast cancer may be a vital indicator for diagnostic and prognostic analysis ( 32 ). Similarly, we observed that CHAC1 expression was low in patients at early stages and increased during the later stages.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of an endoplasmic reticulum stress-related molecular prognostic model for breast cancer

Fan,

Wang,

et al. 2023

Front. Oncol.

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BackgroundBreast cancer is the most frequently diagnosed cancer and a leading cause of cancer-related death in women. Endoplasmic reticulum stress (ERS) plays a crucial role in the pathogenesis of several malignancies. However, the prognostic value of ERS-related genes in breast cancer has not been thoroughly investigated.MethodsWe downloaded and analyzed expression profiling data for breast invasive carcinoma samples in The Cancer Genome Atlas-Breast Invasive Carcinoma (TCGA-BRCA) and identified 23 ERS-related genes differentially expressed between the normal breast tissue and primary breast tumor tissues. We constructed and validated risk models using external test datasets. We assessed the differences in sensitivity to common antitumor drugs between high- and low-scoring groups using the Genomics of Drug Sensitivity in Cancer (GDSC) database, evaluated the sensitivity of patients in high- and low-scoring groups to immunotherapy using the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm, and assessed immune and stromal cell infiltration in the tumor microenvironment (TME) using the Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm. We also analyzed the expression of independent factors in the prognostic model using the Western-blot analysis for correlation in relation to breast cancer.ResultsUsing multivariate Cox analysis, FBXO6, PMAIP1, ERP27, and CHAC1 were identified as independent prognostic factors in patients with breast cancer. The risk score in our model was defined as the endoplasmic reticulum score (ERScore). ERScore had high predictive power for overall survival in patients with breast cancer. The high-ERScore group exhibited a worse prognosis, lower drug sensitivity, and lower immunotherapy response and immune infiltration than did the low-ERScore group. Conclusions based on ERScore were consistent with Western-blot results.ConclusionWe constructed and validated for the first time an endoplasmic reticulum stress-related molecular prognostic model for breast cancer with reliable predictive properties and good sensitivity, as an important addition to the prognostic prediction model for breast cancer.

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“…We then identi ed four iron death genes associated with prognosis by COX regression analysis: CHAC 1, CYBB, RB 1 and VE GFA and used Lasso regression to develop prognostic models to predict the prognosis of ovarian cancer patients Previous studies have shown that the CHAC 1 gene has a poor prognostic value in various cancers, such as clear cell carcinoma [37], gastric adenocarcinoma [38], and breast cancer [39]. Of course, there is also documentation showing that elevated CHAC1 mRNA expression may be an independent indicator of increased risk of ovarian cancer recurrence [40].…”

Section: Discussionmentioning

confidence: 99%

Study on the relationship between Ferroptosis gene and immune microenvironment in ovarian cancer and related prognostic model construction

Gao

hua

2023

Preprint

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Ovarian cancer (OC) has a high recurrence rate and insufficient early screening methods, with a 5-year survival rate of less than 50% However, in many cases, simple standard treatment results are not satisfactory. Therefore, more effective treatments are being sought Ferroptosis is a recently discovered form of cell death associated with loss of glutathione peroxidase 4 (GPX 4) activity and accumulation of reactive lipid oxygen species (ROS), which shows great potential for anticancer therapy[1]. The results of immunotherapy for ovarian cancer are not ideal, but some studies have shown that the results of immunotherapy are significantly improved when combined with other treatments. Gene expression profiling allows researchers to explore and elucidate the molecular mechanisms underlying disease at the genomic and transcriptomic levels. integration of genomic technology and bioinformatics analysis Although these tools allow researchers to screen for tumor-associated genes and identify key prognostic factors, single-gene biomarkers that provide effective survival predictions are limited. Multigene-based risk models may provide better prognostic factors to predict patient survival[2]. identify multigene risk score characteristics by bioinformatic analysis and find more potential biomarkers for effective diagnosis and prognosis assessment of ovarian cancer patients. Based on TCGA and GEO transcript expression data and associated clinical data, a scoring system was developed using consensus cluster analysis, univariate Cox regression analysis, and lasso regression and validated against GEO database data. The results of univariate and multivariate risk analysis showed that the score can be used as an independent prognostic marker of ovarian cancer.

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Prognostic significance of CHAC1 expression in breast cancer

Cited by 21 publications

References 54 publications

Cancer informatics analysis indicates high CHAC2 associated with unfavorable prognosis in breast cancer

Cancer informatics analysis indicates high CHAC2 associated with unfavorable prognosis in breast cancer

Development and validation of an endoplasmic reticulum stress-related molecular prognostic model for breast cancer

Study on the relationship between Ferroptosis gene and immune microenvironment in ovarian cancer and related prognostic model construction

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