SATB1 is Correlated with Progression and Metastasis of Breast Cancers: A Meta-Analysis

Background/Aims: Several researches have evaluated the significance of SATB1 (Special AT-rich sequence binding protein 1) expression in breast cancers (BCs), but the results have been disputed, especially in the aspects of clinicopathological features and prognosis. Therefore, our study aimed to use a meta-analysis to summarize the clinical and prognostic relevance of SATB1 gene expression in BCs. Methods: A literature search of PubMed, EMBASE, Cochrane library, Chinese Wanfang and CNKI was performed to identify eligible studies. Ten studies total, comprising 5,185 patients (1,699 SATB1-positive and 3,486 SATB1-negative), were enrolled in our study, which was performed using Revman5.3 Software and Stata11.0 Software. Results: This meta-analysis showed that the expression of SATB1 was significantly higher in breast cancer than in normal tissues (OR = 12.28; 95%CI = 6.01-25.09), and was statistically related to several clinicopathological parameters, including lymph node metastasis (OR = 1.55, 95%CI = 1.01-2.39) and Tumor Node Metastasis(TNM) stage (OR = 0.35, 95%CI = 0.22-0.56). However, the level of SATB1 was not statistically associated with the age (OR = 1.13, 95%CI = 0.87-1.46), tumour size (OR = 0.72, 95%CI = 0.44-1.19), estrogen receptor (OR = 0.78, 95%CI = 0.55-1.09), progesterone receptor (OR = 0.64, 95%CI = 0.32-1.29), HER2 status (OR=1.98, 95%CI = 0.74-5.30), and histological type (OR = 0.49, 95%CI = 0.22-1.11). Conclusion: High expression of SATB1 was significantly correlated with tumourigenesis and metastasis of BCs, indicating poor prognosis for patients. SATB1 could serve as a potential marker for detection and prognosis evaluation of breast cancers.

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Prognostic value of long non-coding RNA 01296 expression in human solid malignant tumours: a meta-analysis

Postgraduate Medical Journal ◽

10.1136/postgradmedj-2019-136684 ◽

2019 ◽

Vol 96 (1131) ◽

pp. 43-52

Author(s):

Chen Dai ◽

Chenguang Dai ◽

Hao Ni ◽

Zhihua Xu

Keyword(s):

Prognostic Value ◽

Meta Analysis ◽

Tumour Size ◽

Cochrane Library ◽

Malignant Tumours ◽

China National Knowledge Infrastructure ◽

Patients With Cancer ◽

Node Metastasis ◽

Advanced Tumor ◽

Non Coding Rna

Long intergenic non-coding RNA 01296 (LINC01296) has been reported to play an important role in many human malignancies, but a consistent perspective has not been established now. To explore the prognostic value of LINC01296 in different types of human solid malignant tumours, we performed this meta-analysis.An electronic search of PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure, Cochrane Library, Chinese Biological Medical Literature database and WanFang database was applied to select eligible literatures. Pooled ORs or HRs with their 95% CIs were calculated to estimate the effects.A total of 559 patients from nine eligible studies were enrolled in this meta-analysis. The results revealed that high LINC01296 expression was significantly related to larger tumour size (OR 3.42, 95% CI 2.08 to 5.63), lymph node metastasis (OR 3.03, 95% CI 2.01 to 4.57) and advanced tumor-node-metastasis (TNM) stage (OR 4.41, 95% CI 2.65 to 7.34). Moreover, we found that elevated LINC01296 expression predicted a poor outcome for overall survival (HR 1.78, 95% CI 1.48 to 2.14) and recurrence-free survival (HR 4.00, 95% CI 1.04 to 15.67).High expression levels of LINC01296 were associated with unfavourable clinical outcomes of patients with cancer. Our results indicated that LINC01296 could serve as a prognostic predictor in human solid malignant tumours.

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Systemic Immune-Inflammation Index is a Promising Noninvasive Biomarker for Predicting the Survival of Urinary System Cancers: A Systematic Review and Meta-Analysis

10.21203/rs.3.rs-378411/v1 ◽

2021 ◽

Author(s):

Xing Li ◽

Lijiang Gu ◽

Yuhang Chen ◽

Yue Chong ◽

Xinyang Wang ◽

...

Keyword(s):

Meta Analysis ◽

Tumour Size ◽

Prognostic Significance ◽

Progression Free Survival ◽

Cochrane Library ◽

Clinicopathological Parameters ◽

Urinary System ◽

Cancer Specific Survival ◽

Immune Inflammation ◽

Mean Differences

Abstract Purpose: Systemic immune-inflammation index (SII) has been reported in numerous studies to effectively predict the pathological features and survival outcomes of urinary system cancers, but no agreement has been reached. The aim of this meta-analysis is to explore the prognostic significance of pretreatment SII in tumours of the urinary system.Methods: Relevant published articles were selected from Web of Science, PubMed, Embase, and the Cochrane Library up to August 30, 2020. The pooled hazard ratios (HRs), odds ratios (ORs), and standard mean differences (SMDs) with 95% confidence intervals (CIs) were computed to estimate the associations of pretreatment SII with overall survival (OS), progression-free survival (PFS), cancer-specific survival (CSS), and clinicopathological parameters in urinary system cancers.Results: Overall, a total of 13 papers published from 2016 to 2020 involving 15 datasets comprising 3974 patients were finally included in our meta-analysis. From the combined data, we found that high SII prior to treatment indicated markedly worse OS (HR =1.98, 95% CI: 1.75–2.23; p < 0.001), PFS (HR: 2.08, 95% CI: 1.32–3.26, p = 0.002) with high heterogeneity (I2 = 80.8%, p < 0.001), and CSS (HR: 2.41, 95% CI: 1.73–3.35, p < 0.001). In addition, patients who have an elevated SII value before receiving treatment might have undesirable pathological characteristics, including large tumour size, poor differentiation grade, and advanced tumour stage (all p < 0.001).Conclusion: Pretreatment SII could be used as a noninvasive and promising biomarker for indicating the prognosis of patients with urinary system cancers.

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Resting Heart Rate as a Predictor of Cancer Mortality: A Systematic Review and Meta-Analysis

Journal of Clinical Medicine ◽

10.3390/jcm10071354 ◽

2021 ◽

Vol 10 (7) ◽

pp. 1354

Author(s):

Diana P. Pozuelo-Carrascosa ◽

Iván Cavero-Redondo ◽

I.M. Lee ◽

Celia Álvarez-Bueno ◽

Sara Reina-Gutierrez ◽

...

Keyword(s):

Heart Rate ◽

Cancer Mortality ◽

Meta Analysis ◽

Positive Association ◽

Cochrane Library ◽

Resting Heart Rate ◽

Potential Marker ◽

Meta Analyses ◽

Risk Of Cancer ◽

The Relationship

This work was aimed to synthetize the evidence available about the relationship between resting heart rate (RHR) and the risk of cancer mortality. A computerized search in the Medline, EMBASE, Web of Science, and Cochrane Library databases from their inception to 24 September 2020 was performed. We performed three meta-analyses: (1) cancer mortality comparing the “less than 60 bpm” and “more than 60 bpm” categories; (2) cancer mortality comparing “less than 60 bpm”, “60 to 80 bpm”, and “more than 80 bpm” categories; and (3) analysis for 10–12 and 20 bpm increase in RHR and risk of cancer mortality. Twenty-two studies were included in the qualitative review, and twelve of them met the inclusion criteria for the meta-analysis. Our results showed a positive association between RHR and the risk of cancer mortality. This association was shown in a meta-analysis comparing studies reporting mean RHR values below and above 60 bpm, when comparing three RHR categories using less than 60 bpm as the reference category and, finally, in dose response analyses estimating the effect of an increase of 10–12 bpm in RHR, both in men and in women. In conclusion, a low RHR is a potential marker of low risk of cancer mortality.

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The Significance of Long Noncoding RNA H19 in Predicting Progression and Metastasis of Cancers: A Meta-Analysis

BioMed Research International ◽

10.1155/2016/5902678 ◽

2016 ◽

Vol 2016 ◽

pp. 1-9 ◽

Cited By ~ 16

Author(s):

Wei Jing ◽

Man Zhu ◽

Xian-wei Zhang ◽

Zhong-ya Pan ◽

Shan-shan Gao ◽

...

Keyword(s):

Tumor Invasion ◽

Noncoding Rna ◽

Histological Grade ◽

Meta Analysis ◽

Cochrane Library ◽

Invasion Depth ◽

Potential Marker ◽

The Cochrane Library ◽

The Relationship ◽

Tumor Invasion Depth

Recently, numerous studies indicate that H19 plays a key role in tumorigenesis, but the results have been disputed, especially in the aspects of tumor progression and metastasis. Therefore, we performed this meta-analysis to systematically summarize the relationship between H19 and cancers. We searched PubMed, the Cochrane Library, CNKI, and Chinese Wan Fang to identify eligible studies. Odds ratios and 95% confidence intervals were calculated to assess the effect size. A total of 13 studies were enrolled in this meta-analysis, which was performed by Revman5.3 and Stata11.0 software. Our meta-analysis showed that the expression of H19 was associated with distant metastasis in nongastrointestinal tumors (OR = 3.85, 95% CI = 1.31–11.36,P=0.01) and, in gastrointestinal tumors (OR = 0.34, 95% CI = 0.15–0.78,P=0.01), lymph node metastasis (OR = 2.04, 95% CI = 1.19–3.48,P=0.009). Moreover, in gastric cancer, H19 expression was significantly related to histological grade (OR = 0.50, 95% CI = 0.29–0.86,P=0.01), TNM stage (OR = 0.19, 95% CI = 0.11–0.33,P<0.01), and tumor invasion depth (OR = 0.11, 95% CI = 0.04–0.27,P<0.01). Therefore, H19 could serve as a potential marker for progression and metastasis evaluation of cancers.

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Development and validation of nomogram based on SIRI for predicting the clinical outcome in patients with nasopharyngeal carcinomas

Journal of Investigative Medicine ◽

10.1136/jim-2018-000801 ◽

2018 ◽

Vol 67 (3) ◽

pp. 691-698 ◽

Cited By ~ 17

Author(s):

Yuan Chen ◽

Wenjie Jiang ◽

Dan Xi ◽

Jun Chen ◽

Guoping Xu ◽

...

Keyword(s):

Predictive Accuracy ◽

Peripheral Lymphocyte ◽

Clinicopathological Parameters ◽

Concordance Index ◽

Tumor Node Metastasis ◽

Discriminative Ability ◽

Node Metastasis ◽

Kaplan Meier ◽

Treatment Plans ◽

Development And Validation

The Systemic Inflammation Response Index (SIRI), based on peripheral lymphocyte, neutrophil, and monocyte counts, was recently investigated as a prognostic marker for several tumors. However, use of the SIRI has not been reported for nasopharyngeal carcinoma (NPC). We evaluated the prognostic value of the SIRI in primary and validation cohorts. We also established an effective prognostic nomogram for NPC based on clinicopathological parameters and the SIRI. The predictive accuracy and discriminative ability of the nomogram were determined using the concordance index (C-index) and a calibration curve and were compared with tumor-node-metastasis classifications. Our Kaplan-Meier survival analysis results showed that the SIRI was associated with the overall survival of patients with NPC in the primary and validation cohorts. The SIRI was identified to be an independent prognostic factor for NPC. In addition, we developed and validated a new prognostic nomogram that integrated clinicopathological factors and the SIRI. This nomogram can efficiently predict the prognosis of patients with NPC. The SIRI is a novel, simple and inexpensive prognostic predictor for patients with NPC. The SIRI has important value for predicting the prognosis of patients with NPC and developing individualized treatment plans.

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Diagnostic and prognostic values of circular RNAs for lung cancer: a meta-analysis

Postgraduate Medical Journal ◽

10.1136/postgradmedj-2019-137178 ◽

2020 ◽

pp. postgradmedj-2019-137178

Author(s):

Qian Yang ◽

Lizhen Chen ◽

Li Yang ◽

Yuanshuai Huang

Keyword(s):

Lung Cancer ◽

Cancer Patients ◽

Meta Analysis ◽

Area Under The Curve ◽

High Sensitivity ◽

Cochrane Library ◽

Clinicopathological Parameters ◽

Circular Rnas ◽

Lung Cancer Patients ◽

Diagnostic Values

Circular RNAs (circRNAs) may serve as potential biomarkers for patients with lung cancer. The aim of this meta-analysis was to analyse the diagnostic, prognostic and clinicopathological values of circRNAs in lung cancer patients. A systematic search of PubMed, Embase, Web of Science, Scopus and the Cochrane Library databases was performed for relevant articles from inception to 29 January 2020. Pooled parameters including sensitivity, specificity and area under the curve (AUC) were used to assess the diagnostic performance, HRs and 95% CIs were used to evaluate overall survival (OS) and ORs were used to estimate clinicopathological parameters. 52 studies from 45 articles were enrolled in this study, including 17 on diagnosis and 35 on prognosis. For diagnostic values, circRNAs could discriminate lung cancer patients from the controls, with AUC of 0.83 (95% CI: 0.79 to 0.86), a relatively high sensitivity of 0.77 (95% CI: 0.73 to 0.81) and speciﬁcity of 0.75 (95% CI: 0.71 to 0.79). For prognostic significances, overexpression of 23 upregulated circRNAs was relevant to a poor prognosis (OS: HR=2.21, 95% CI: 1.96 to 2.49, p<0.001), and overexpression of 9 downregulated circRNAs was correlated with a favourable prognosis (OS: HR=0.62, 95% CI: 0.53 to 0.73, p<0.001). As for clinicopathological parameters, high expression of 23 upregulated circRNAs was associated with unfavourable clinicopathological features while 9 downregulated circRNAs proved the contrary. In conclusion, this study confirmed that circRNAs might serve as important biomarkers for diagnostic and prognostic values of lung cancer.

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Prognostic significance of LINC00460 overexpression in solid tumours: a meta-analysis

Postgraduate Medical Journal ◽

10.1136/postgradmedj-2019-137172 ◽

2020 ◽

Vol 96 (1135) ◽

pp. 286-295

Author(s):

Chen Dai ◽

Yan Zhang ◽

Hao Ni ◽

Yuting Kuang ◽

Zhihua Xu

Keyword(s):

Meta Analysis ◽

Prognostic Significance ◽

Disease Free Survival ◽

Malignant Tumour ◽

Positive Lymph Node ◽

Cochrane Library ◽

Cancer Type ◽

Malignant Tumours ◽

Node Metastasis ◽

Solid Malignant Tumour

The prognostic value of long intergenic non-protein coding RNA 460 (LINC00460) overexpression in human solid malignant tumours remains unclear. Therefore, we conducted the meta-analysis to systematically review and assess the evidence for the correlation between LINC00460 overexpression and clinicopathological features and overall survival (OS) of patients with solid malignant tumour. An electronic search of PubMed, EMBASE, Web of Science, CNKI, Cochrane Library, Chinese Biological Medical Literature database and WanFang database was applied to select eligible articles. Pooled ORs or HRs with their 95% CIs were calculated to estimate the effects. 9 eligible studies with a total of 935 patients were enrolled in this meta-analysis. The results revealed that high LINC00460 expression was associated with positive lymph node metastasis (positive vs negative: OR=2.97, 95% CI 1.74 to 5.05, p=0.812), advanced tumour-node-metastasis stage (III+IV vs I+II: OR=2.82, 95% CI 1.64 to 4.85, p=0.193) and poorer differentiation (high vs low: OR=0.60, 95% CI 0.36 to 0.99, p=0.569). Additionally, the overexpression of LINC00460 could predict a poorer OS (HR=1.57, 95% CI 1.39 to 1.77) and the shorter disease-free survival (HR=2.32, 95% CI 1.25 to 4.31). Furthermore, according to subgroup analysis and meta-regression results, the heterogeneity of current meta-analysis may be attributed to the differences of cancer type and follow-up months. High expression of LINC00460 could predict poor prognosis in patients with solid malignant tumour. LINC00460 may serve as potential prognostic biomarker for clinical outcomes in various human solid malignant tumours.

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Correlation of quantitative total HER2 expression and HER2 homodimers with histopathologic characteristics of breast cancers in the FinHer study

Journal of Clinical Oncology ◽

10.1200/jco.2009.27.15_suppl.11061 ◽

2009 ◽

Vol 27 (15_suppl) ◽

pp. 11061-11061

Author(s):

W. Huang ◽

J. Weidler ◽

Y. Lie ◽

J. Whitcomb ◽

M. Leinonen ◽

...

Keyword(s):

Lymph Node ◽

Lymph Node Metastasis ◽

Tumor Size ◽

Dynamic Range ◽

Tumor Grade ◽

Her2 Status ◽

Breast Cancers ◽

Her2 Expression ◽

Node Metastasis ◽

Formalin Fixed Paraffin Embedded

11061 Background: We recently reported that the HERmark assay (Monogram Biosciences) accurately measures continua of total HER2 expression (H2T) and HER2 homodimers (H2D) over a wide (∼3 logs) dynamic range, and that a higher concordance was observed between H2T and HER2 status with more stringent central tests as compared with IHC tests performed locally (Joensuu et al, 2008 SABCS,abstract 2071). H2D/H2T ratio was reported as a marker of activated HER2 and a prognosticator of disease progression in HER2+ patients not treated with trastuzumab in the adjuvant setting (Bates et al, 2008 SABCS,abstract 1074). In this follow-up analysis, H2T, H2D, and H2D/H2T ratio were correlated with histopathologic characteristics of breast cancers in the FinHer study. Methods: The HERmark assay was used to measure H2T and H2D in 899 formalin-fixed, paraffin-embedded FinHer specimens. The results were correlated with histopathologic characteristics of breast cancers in the FinHer study (Joensuu et al, N Engl J Med2006;354), including estrogen receptor/progesterone receptor (ER/PR), tumor grade, tumor size, lymph node metastasis, and stage. Results: Higher H2T and H2D levels correlated with ER/PR negativity and high tumor grade (P<0.0001). 42% (102/244) of ER- and 37% (137/374) of PR- cases were HERmark Positive; while 17% (110/655) of ER+ and 14% (75/524) of PR+ cases were HERmark Positive. 10% (13/136) of grade 1, 18% (65/353) of grade 2, and 35% (131/375) of grade 3 tumors were HERmark Positive. No significant association was found between H2T or H2D and tumor size, lymph node metastasis or stage. ER/PR negative and poorly differentiated cancers had higher H2D/H2T ratios (P=0.013), and H2D/H2T ratios >0.6 were associated with smaller primary tumor diameters at the time of cancer detection (P=0.009). Conclusions: The quantitative H2T measurement confirms the known correlations between HER2 expression and histopathologic characteristics of breast cancer. The novel H2D measurement and H2D/H2T ratio may provide further insights into HER2 activation and better diagnostic tests for targeted HER2 therapy. [Table: see text]

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Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis

BMC Cancer ◽

10.1186/s12885-021-08773-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Sergei Bedrikovetski ◽

Nagendra N. Dudi-Venkata ◽

Hidde M. Kroon ◽

Warren Seow ◽

Ryash Vather ◽

...

Keyword(s):

Artificial Intelligence ◽

Colorectal Cancer ◽

Systematic Review ◽

Deep Learning ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Meta Analysis ◽

Cochrane Library ◽

Learning Models ◽

Node Metastasis

Abstract Background Artificial intelligence (AI) is increasingly being used in medical imaging analysis. We aimed to evaluate the diagnostic accuracy of AI models used for detection of lymph node metastasis on pre-operative staging imaging for colorectal cancer. Methods A systematic review was conducted according to PRISMA guidelines using a literature search of PubMed (MEDLINE), EMBASE, IEEE Xplore and the Cochrane Library for studies published from January 2010 to October 2020. Studies reporting on the accuracy of radiomics models and/or deep learning for the detection of lymph node metastasis in colorectal cancer by CT/MRI were included. Conference abstracts and studies reporting accuracy of image segmentation rather than nodal classification were excluded. The quality of the studies was assessed using a modified questionnaire of the QUADAS-2 criteria. Characteristics and diagnostic measures from each study were extracted. Pooling of area under the receiver operating characteristic curve (AUROC) was calculated in a meta-analysis. Results Seventeen eligible studies were identified for inclusion in the systematic review, of which 12 used radiomics models and five used deep learning models. High risk of bias was found in two studies and there was significant heterogeneity among radiomics papers (73.0%). In rectal cancer, there was a per-patient AUROC of 0.808 (0.739–0.876) and 0.917 (0.882–0.952) for radiomics and deep learning models, respectively. Both models performed better than the radiologists who had an AUROC of 0.688 (0.603 to 0.772). Similarly in colorectal cancer, radiomics models with a per-patient AUROC of 0.727 (0.633–0.821) outperformed the radiologist who had an AUROC of 0.676 (0.627–0.725). Conclusion AI models have the potential to predict lymph node metastasis more accurately in rectal and colorectal cancer, however, radiomics studies are heterogeneous and deep learning studies are scarce. Trial registration PROSPERO CRD42020218004.

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Diagnostic and prognostic significance of dysregulated expression of circular RNAs in osteosarcoma

10.21203/rs.3.rs-19087/v1 ◽

2020 ◽

Author(s):

Chenghao Zhang ◽

Jieyu He ◽

Lin Qi ◽

Zhixi Duan ◽

Lu Wan ◽

...

Keyword(s):

Meta Analysis ◽

Prognostic Significance ◽

Area Under The Curve ◽

Disease Free Survival ◽

Diagnostic Odds Ratio ◽

Cochrane Library ◽

Clinicopathological Parameters ◽

Circular Rnas ◽

Diagnostic Significance ◽

Enneking Stage

Abstract Background Circular RNAs (circRNAs) have emerged as pivotal regulators in osteosarcoma tumorigenesis and progression, but their prognostic and diagnostic significance remain unclear. Herein, we aimed to perform an updated meta-analysis to explore the clinical, diagnostic and prognostic values of circRNAs in osteosarcoma. Methods Several databases, including PubMed, Web of Science, EMBASE, Scopus and Cochrane Library, were systematically searched up to Mar 10, 2020. Eligible studies regarding the relationship between circRNAs levels and clinicopathological, diagnostic and prognostic values in osteosarcoma patients were included in this study. Pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were used to measure clinical characteristics, while hazard ratios (HRs) with 95% CIs were adopted to assess overall survival (OS) and disease-free survival (DFS). Results Overall, 26 relevant studies involving 1,652 patients with osteosarcoma were enrolled, with eighteen studies on clinicopathological parameters, ten on diagnosis and eighteen on prognosis. For clinical parameters, overexpression of oncogenic circRNAs was intimately correlated with larger tumor size (P <0.00001), advanced Enneking stage (P <0.00001), poor differentiation (P =0.0001), and distant metastasis (DM) (P <0.00001). In contrast, the downregulated circRNAs showed negative correlation with Enneking stage (P=0.002) and DM (P<0.0001). For the diagnostic values, the summary area under the curve (AUC) of circRNA for the discriminative efficacy between osteosarcoma patients and non-cancer counterparts was estimated to be 0.86 (95% CI: 0.83-0.89), with a weighted sensitivity of 0.80 (95% CI: 0.74-0.84), specificity of 0.80 (95%: 0.75-0.84), and diagnostic odds ratio (DOR) of 15.48 (10.85-22.10), respectively. For the prognostic significance, oncogenic circRNAs had poor OS (HR=1.92, 95% CI: 1.68-2.19) and DFS (HR=2.65, 95% CI: 2.02-3.49), while elevated expression of tumor-suppressor circRNAs were closely related to longer OS (HR=0.44, 95% CI: 0.28-0.69). Conclusions Taken together, our study showed that aberrantly expressed circRNA signatures could serve as potential predictive indicators in diagnosis and prognosis in patients with osteosarcoma.

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