Prognostic significance of serum CA125 in the overall management for patients with gastrointestinal stromal tumors

Sui, Chao; Chen, Lin; Tao, Tingting; Guan, Wenxian; Zhang, Haoran; Tao, Liang; Wang, Meng; Wang, Feng

doi:10.1186/s12876-023-02655-0

“…The expression of ALB and TP, recognized as relevant proteins for monitoring nutritional status, was lower in the GST group than in the other two groups, which is consistent with other cancers. Serum CA125 is elevated in a variety of tumors and plays a key role in the diagnosis of gastrointestinal malignancies (30), but it has not received widespread attention and use in the diagnosis of GIST. Numerous studies have con rmed the correlation between the neutrophil-tolymphocyte ratio (NLR) in cardiovascular diseases, infections, in ammatory diseases and cancer (31,32), but no study has yet singled out LYM% or a potential association between LY and GIST, which is noteworthy.…”

Section: Discussionmentioning

confidence: 99%

Intelligent identification system of gastric stromal tumors based on blood biopsy indicators

Han

¹

,

Song

²

,

Wang

³

et al. 2023

Preprint

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Background The most prevalent mesenchymal-derived gastrointestinal cancers are gastric stromal tumors (GSTs), which have the highest incidence (60–70%) of all gastrointestinal stromal tumors (GISTs). However, simple and effective diagnostic and screening methods for GST remain a great challenge at home and abroad. This study aimed to build a GST early warning system based on a combination of machine learning algorithms and routine blood, biochemical and tumour marker indicators. Methods In total, 697 complete samples were collected from four hospitals in Gansu Province, including 42 blood indicators from 318 pretreatment GST patients, 180 samples of gastric polyps and 199 healthy individuals. In this study, three algorithms, gradient boosting machine (GBM), random forest (RF), and logistic regression (LR), were chosen to build GST prediction models for comparison. The performance and stability of the models were evaluated using two different validation techniques: 5-fold cross-validation and external validation. The DeLong test assesses significant differences in AUC values by comparing different ROC curves, the variance and covariance of the AUC value. Results The AUC values of both the GBM and RF models were higher than those of the LR model, and this difference was statistically significant (P < 0.05). The GBM model was considered to be the optimal model, as a larger area was enclosed by the ROC curve, and the axes indicated robust model classification performance according to the accepted model discriminant. Finally, the integration of 8 top-ranked blood indices was proven to be able to distinguish GST from gastric polyps and healthy people with sensitivity, specificity and area under the curve of 0.941, 0.807 and 0.951 for the cross-validation set, respectively. Conclusion The GBM demonstrated powerful classification performance and was able to rapidly distinguish GST patients from gastric polyps and healthy individuals. This identification system not only provides an innovative strategy for the diagnosis of GST but also enables the exploration of hidden associations between blood parameters and GST for subsequent studies on the prevention and disease surveillance management of GST. The GST discrimination system is available online for free testing of doctors and high-risk groups at https://jzlyc.gsyy.cn/bear/mobile/index.html.

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“…The expression of ALB and TP, recognized as relevant proteins for monitoring nutritional status, was lower in the GST group than in the other two groups, which is consistent with other cancers. Serum CA125 is elevated in a variety of tumors and plays a key role in the diagnosis of gastrointestinal malignancies [ 31 ], but it has not received widespread attention and use in the diagnosis of GIST. Numerous studies have confirmed the correlation between the neutrophil-to-lymphocyte ratio (NLR) in cardiovascular diseases, infections, inflammatory diseases and cancer [ 32 , 33 ], but no study has yet singled out LYM% or a potential association between LY and GIST, which is noteworthy.…”

Section: Discussionmentioning

confidence: 99%

Intelligent identification system of gastric stromal tumors based on blood biopsy indicators

Han,

Song,

Wang

et al. 2023

BMC Med Inform Decis Mak

0

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Background The most prevalent mesenchymal-derived gastrointestinal cancers are gastric stromal tumors (GSTs), which have the highest incidence (60–70%) of all gastrointestinal stromal tumors (GISTs). However, simple and effective diagnostic and screening methods for GST remain a great challenge at home and abroad. This study aimed to build a GST early warning system based on a combination of machine learning algorithms and routine blood, biochemical and tumour marker indicators. Methods In total, 697 complete samples were collected from four hospitals in Gansu Province, including 42 blood indicators from 318 pretreatment GST patients, 180 samples of gastric polyps and 199 healthy individuals. In this study, three algorithms, gradient boosting machine (GBM), random forest (RF), and logistic regression (LR), were chosen to build GST prediction models for comparison. The performance and stability of the models were evaluated using two different validation techniques: 5-fold cross-validation and external validation. The DeLong test assesses significant differences in AUC values by comparing different ROC curves, the variance and covariance of the AUC value. Results The AUC values of both the GBM and RF models were higher than those of the LR model, and this difference was statistically significant (P < 0.05). The GBM model was considered to be the optimal model, as a larger area was enclosed by the ROC curve, and the axes indicated robust model classification performance according to the accepted model discriminant. Finally, the integration of 8 top-ranked blood indices was proven to be able to distinguish GST from gastric polyps and healthy people with sensitivity, specificity and area under the curve of 0.941, 0.807 and 0.951 for the cross-validation set, respectively. Conclusion The GBM demonstrated powerful classification performance and was able to rapidly distinguish GST patients from gastric polyps and healthy individuals. This identification system not only provides an innovative strategy for the diagnosis of GST but also enables the exploration of hidden associations between blood parameters and GST for subsequent studies on the prevention and disease surveillance management of GST. The GST discrimination system is available online for free testing of doctors and high-risk groups at https://jzlyc.gsyy.cn/bear/mobile/index.html.

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“…Similarly, CA125 (cancer antigen 125) is a glycoprotein present in the epithelium lining body cavities and is a tumor‐associated antigen which exists in the tissues and serum of epithelial ovarian cancer and several digestive tract carcinomas (Bratei et al, 2023). However, it is not widely used in clinic due to its relatively low specificity (Sui et al, 2023). Therefore, the identification of some novel and noninvasive biomarkers for the early diagnosis of NSCLC is extremely urgently needed.…”

Section: Introductionmentioning

confidence: 99%

Serum IL‐24 combined with CA125 as screening and prognostic biomarkers for NSCLC

Zhang,

Qu,

Deng

et al. 2024

Cell Biology International

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Noninvasive and effective methods for early screening of non‐small cell lung cancer (NSCLC) still need to be developed. At present, a reasonable conclusion is that a combination of tumor markers is a superior predictor of screening. Cytokines, as important regulators of cancer development, have great potential for the screening and prognosis of NSCLC. This study screened novel biomarkers related to the early screening and prognosis of NSCLC. In the present study, the biological significance and immunoregulation of interleukin‐24 (IL‐24) were analyzed based on The Cancer Genome Atlas data. Next, 150 serum samples from initially treated patients with NSCLC and 70 controls were collected, and we obtained pathological sections from 60 patients with NSCLC. The ELISA and immunohistochemistry results showed the differential expression of IL‐24 and carbohydrate antigen 125 (CA125). The results show that IL‐24 is an important tumor suppressor in NSCLC that helps to improve the poor prognosis of these patients. A significantly negative correlation between IL‐24 and CA125 levels was also found. Notably, serum IL‐24 levels were significantly negatively correlated with the TNM stage of patients with NSCLC, consistent with an important role for tumor suppressors in NSCLC. The receiver operating characteristic curve analysis showed that a combination of IL‐24 and CA125 was an effective panel for discriminating patients with NSCLC from HD, and individuals with other lung diseases. Serum IL‐24 and CA125 levels were identified as independent prognostic markers for NSCLC. The IL‐24 and CA125 panel exhibited good performance in the screening of NSCLC.

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Prognostic significance of serum CA125 in the overall management for patients with gastrointestinal stromal tumors

Cited by 7 publications

References 21 publications

Intelligent identification system of gastric stromal tumors based on blood biopsy indicators

Intelligent identification system of gastric stromal tumors based on blood biopsy indicators

Intelligent identification system of gastric stromal tumors based on blood biopsy indicators

Serum IL‐24 combined with CA125 as screening and prognostic biomarkers for NSCLC

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