Tumor expression of CXCL12 and survival of patients with colorectal cancer: A meta‑analysis
- Authors:
- Published online on: October 21, 2022 https://doi.org/10.3892/ol.2022.13556
- Article Number: 436
-
Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Colorectal cancer (CRC) ranks as the third most prevalent cancer, and ~1.4 million new cases of CRC are diagnosed annually all over the world (1–3). As early diagnosis for patients with CRC is still challenging, a substantial number of patients with CRC are diagnosed at late stages, which is generally associated with a poor prognosis (4). Despite the application of multiple modalities for CRC treatment, such as surgical resection and radio-chemotherapy, the patient prognosis remains poor (5,6). Therefore, the identification of key molecules that are involved in the carcinogenesis and deterioration of CRC is important for the early prevention and treatment of the cancer.
C-X-C motif chemokine ligand 12 (CXCL12), also known as stromal cell-derived factor-1, was initially identified as a key cytokine involved in the metastasis of tumor cells (7,8). Located on the long arm of chromosome 10, the CXCL12 gene was first cloned from a bone marrow-derived stromal cell line, and was then identified as a pre-B cell growth stimulating factor (9,10). In humans, CXCL12 exists as six different splice variants (CXCL12α to φ) (11), which share the first three exons and are encoded by the same CXCL12 gene (11). The variants differ by the fourth exon, which determines the splice variant length. All CXCL12 isoforms have the first 67 amino acids in common and then exhibit different lengths, with CXCL12α to φ being 68, 72, 98, 119, 69 and 79 amino acids long, respectively (11). The amino-terminal domain of CXCL12 binds to the second extracellular loop of C-X-C chemokine receptor type 4 (CXCR4) and activates the signaling pathways downstream (9,10). The third intracellular loop of CXCR4 is necessary for Gαi-dependent signaling, and intracellular loops 2 and 3, as well as the CXCR4 C-terminus, are required for chemotaxis (9,10). Typically, the binding of CXCL12 to CXCR4 triggers multiple signal transduction pathways that control the regulation of intracellular calcium flux, transcription, chemotaxis and cell survival (12,13). In addition, CXCL12 is constitutively expressed in tissues that are vulnerable to metastasis, such as the lung, bone marrow and liver tissues (13). Subsequent preclinical studies showed that expression levels of CXCL12 in certain human tumors were correlated with dedifferentiation and malignant tumor behaviors (14,15). For patients with CRC, accumulating studies have been performed to evaluate the association between tumor expression levels of CXCL12 and survival outcomes (16,17). However, results of these studies are not always consistent (18–30). Therefore, in the present study, a meta-analysis was performed to comprehensively investigate the possible predictive role of tumor CXCL12 expression for the prognosis of patients with CRC.
Materials and methods
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (31,32) was followed in conceiving, conducting and reporting the study, and the methodology of the meta-analysis was in accordance with the recommendations of the Cochrane's Handbook (33) guidelines.
Literature retrieval
Studies were retrieved by searching the PubMed, Embase and Web of Science electronic databases from the inception of the databases until March 22, 2022. Combined search terms were used, including i) ‘CXCL12’ OR ‘SDF1’; ii) ‘colon’ OR ‘colorectal’ OR ‘rectal’ OR ‘anal’; and iii) ‘cancer’ OR ‘carcinoma’ OR ‘adenoma’ OR ‘adenocarcinoma’ OR ‘malignancy’ OR ‘tumor’ OR ‘tumour’ OR ‘neoplasm’. The search was limited to human studies published as full-length articles. No restriction was applied regarding the language of publication. As a supplementation, the citations of the relevant original and review articles were manually checked for possible studies of interest.
Study selection
The PICOS principle was used for study inclusion with the following descriptions: P (patients): Adult patients with a histologically confirmed diagnosis of CRC, regardless of the cancer stage or treatments. I (exposure): Patients with higher tumor expression levels of CXCL12. The methods for measuring tumor CXCL12 expression levels and the cutoff for defining higher tumor CXCL12 expression levels were in accordance with those applied in the original studies. C (control): Patients with lower tumor expression levels of CXCL12. O (outcomes): The primary outcome was overall survival (OS) and the secondary outcome was progression-free survival (PFS), compared with that of patients with CRC and higher vs. lower tumor expression levels of CXCL12. Generally, OS was defined as the time elapsed from treatment and to the date of death from any cause, while PFS was defined as the interval between initiation of the treatment and the first recurrence or progression event. S (study design): Cohort studies, including prospective and retrospective cohorts.
Reviews, preclinical studies, studies including patients that did not have CRC, studies that did not evaluate tumor expression levels of CXCL12 or studies that did not report the survival outcomes were excluded.
Data collection and quality assessing
Two independent assessors conducted the literature search and analysis, data collection and study quality assessments separately. If discrepancies were encountered, they were resolved by discussion to reach a consensus. Data regarding study information, patient demographic factors, cancer stage, methods for measuring the tumor expression levels of CXCL12, cutoffs for defining higher tumor expression levels of CXCL12, number of patients with higher tumor expression levels of CXCL12 and variables adjusted in the regression model for the analysis of the association between CXCL12 and survival outcomes were collected. Study quality assessment was achieved via the Newcastle-Ottawa Scale (NOS) (34), with scoring regarding the criteria for participant selection, comparability of the groups and the validity of the outcomes. The scale ranged between 1–9 stars, with a larger number of stars representing higher study quality.
Statistical analysis
The main objective was to determine the relative risks of OS and PFS of patients with CRC and higher vs. lower tumor expression of CXCL12. These were presented as hazard ratios (HRs) and confidence intervals (CIs). Using the 95% CIs or P-values, HRs and standard errors (SEs) could be calculated, and a subsequent logarithmical transformation was conducted to keep a stabilized variance and normalized distribution. Between-study heterogeneity was estimated with the Cochrane's Q test and the I2 statistic (35), with I2>50% reflecting significant heterogeneity. A random-effect model was applied to combine the results by incorporating the influence of heterogeneity (33). The influence of each study on the overall results was observed by performing sensitivity analyses that omitted one study at a time (36). Subgroup analyses were also performed to explore the influences of study characteristics on the outcome. By construction of the funnel plots, the publication bias was estimated based on the visual judgment of the symmetry of the plots, supplemented by the Egger's regression asymmetry test (37). RevMan (version 5.1; Cochrane) and Stata (version 12.0; StataCorp LP) software were applied for these analyses.
Results
Studies obtained
Fig. 1 shows the process of the literature analysis. Briefly, the initial search of the databases retrieved 721 articles, and 588 were left after excluding duplicated records. An additional 549 articles were excluded, as the contents of the titles and abstracts indicated that they were not relevant to the aim of the meta-analysis, which made a total of 39 studies for the full-text review. Finally, after excluding 26 studies through full-text review, 13 studies (18–30) were included. The reasons for the removal of the 26 studies are also presented in Fig. 1. Since 1 report (27) included 2 independent cohort studies, a total of 14 cohort studies were available for the meta-analysis.
Characteristics of the included studies
As shown in Table I, 14 cohort studies involving 2,060 patients with CRC contributed to the meta-analysis. These studies were performed in Japan, the United States, Italy, Tunisia, the Netherlands, Italy, Norway, Switzerland and Korea. All were retrospective cohort studies except for 1 study, which was a prospective cohort study (26). Patients with rectal cancer were included in 3 cohorts (20,23,30), patients with colon cancer were included in 2 cohorts (27), while the remaining 9 cohorts included patients with rectal or colon cancer (18,19,21,22,24–26,28,29). Tumor expression levels of CXCL12 protein were assayed by immunohistochemistry in most of the included studies except 2 studies, in which the reverse transcription-quantitative polymerase chain reaction was applied to measure the tumor CXCL12 mRNA level (20,28). Cutoffs for defining the higher tumor expression levels of CXCL12 varied among the included studies, such as CXCL12 protein expression in ≥50% of the tumor cells, CXCL12 expression in ≥10% of the tumor cells or tumors with detectable CXCL12 mRNA. Overall, 1,055 (51.2%) patients had higher tumor expression levels of CXCL12. The mean expression levels of CXCL12 in CRC varied between 25 and 81% among the included studies. The median follow-up duration of the included studies varied between 23 and 66 months. The outcome of OS was reported in 12 cohorts (18–26,28–30), while the outcome of PFS was reported in 10 cohorts (19–23,26–28,30). In 12 studies, multivariate models were applied to analyze the association between CXCL12 and the survival outcomes, and variables such as age, sex and cancer stage, among others, were adjusted (18–23,25,27–30). In two studies, univariate models were used for the analyses without adjustment of the potential confounding factors (24,26). For one of the included studies, the HRs for the association between tumor CXCL12 expression levels and survival outcomes were separately reported in patients with and without preoperative chemoradiotherapy (PCRT), and these datasets were included into the meta-analysis independently. The NOS of the included studies were 6 to 9 stars, suggesting moderate to good study quality (Table II).
Tumor expression of CXCL12 and the OS of patients with CRC
Pooled results of 12 cohorts (18–26,28–30) showed that a higher tumor expression level of CXCL12 was associated with the poor OS (HR, 1.74; 95% CI, 1.29-2.34; P<0.001; I2, 33%) of patients with CRC (Fig. 2A). Sensitivity analyses performed by excluding one study at a time showed consistent results (HR, 1.62-1.94; all P<0.05). Subgroup analyses showed that the association between higher cancer expression levels of CXCL12 and poor OS was not significantly affected by study country, tumor location, tumor stage, methods for measuring tumor CXCL12 levels or the models for the analyses of the association (all P>0.05; Table III). Moreover, sensitivity analyses limited to retrospective studies showed similar results (12 studies; HR, 1.79; 95% CI, 1.30-2.47; P=0.004; Table III).
Table III.Results of subgroup and sensitivity analyses for the association between CXCL12 and overall survival of patients with colorectal cancer. |
Tumor expression of CXCL12 and the PFS of patients with CRC
Results of the meta-analysis with 10 cohorts (19–23,26–28,30), which were all retrospective studies with multivariate analyses, showed that a higher tumor expression level of CXCL12 was associated with poor PFS in patients with CRC (HR, 2.00; 95% CI, 1.47-2.73; P<0.001; I2, 33%; Fig. 2B). Sensitivity analyses performed by excluding one study at a time did not significantly affect the results (HR, 1.78-2.13; all P<0.05). Subgroup analyses showed that the association between higher cancer expression levels of CXCL12 and poor PFS was not significantly affected by characteristics such as study country, tumor location, cancer stage or the methods for measuring tumor CXCL12 levels (all P>0.05; Table IV).
Table IV.Results of subgroup analyses for the association between CXCL12 and progression-free survival of patients with colorectal cancer. |
Publication bias
Fig. 3A and B display the funnel plots for the outcomes of OS and PFS. Visual inspection revealed symmetry of the plots, reflecting a low risk of publication biases. Egger's regression tests also indicated low risks of publication biases (P=0.18 and P=0.31, respectively).
Discussion
In this meta-analysis, by pooling the results of 14 cohort studies from 13 reports, the results showed that a higher tumor expression level of CXCL12 was associated with the poor OS and PFS of patients with CRC. The results were consistent for sensitivity analyses by excluding one study at a time, and for subgroup analyses according to multiple study characteristics, such as the study country, tumor location, cancer stage and methods for measuring tumor CXCL12. Taken together, these findings suggest that a higher level of CXCL12 expression in tumors may be a predictor of poor prognosis in patients with CRC.
An early meta-analysis in 2017 included 32 studies and showed that high expression levels of CXCL12 were associated with poor OS, but not poor PFS, in patients with various solid malignancies (38). However, significant heterogeneity was observed in this meta-analysis, and further subgroup analyses with 6 studies of patients with CRC failed to show a significant association between the tumor expression level of CXCL12 and the survival outcomes (38). Another meta-analysis, also published in 2017, suggested that a higher tumor expression level of CXCL12 may be associated with poor OS (39). However, only 2 studies before 2011 were included, which made the results less convincing (39). The present meta-analysis has several strengths compared with the previous meta-analyses. First, the focus was on patients with CRC only and updated studies were included, and the results showed that tumor expression levels of CXCL12 may be a predictor of poor OS and PFS in patients with CRC. Second, the robustness of the findings was evidenced by consistent results of sensitivity and subgroup analyses, which indicated that the results were not mainly driven by either of the included cohorts and were not significantly affected by multiple study characteristics. Furthermore, sensitivity analyses limited to studies with multivariate analyses showed a significant association between high CXCL12 expression levels and poor survival in patients with CRC, which implies that the association may not be confounded by factors such age, sex and cancer stage. Taken together, these findings suggest that high expression levels of CXCL12 may be a predictor of poor survival of patients with CRC.
The potential mechanisms underlying the association between the high tumor expression of CXCL12 and the poor survival of patients with CRC are not yet fully determined. An early preclinical study showed that CXCL12 could activate multiple signals, including extracellular signal-regulated kinase-1/2, stress-activated protein kinase/c-Jun NH2-terminal kinase and matrix metalloproteinase-9 (40), which mediate the reorganization of the actin cytoskeleton, resulting in increased cancer cell migration and invasion in CRC. A subsequent study showed that silencing the CXCL12 gene could significantly inhibit the proliferation, invasion and angiogenesis ability of colon carcinoma cells through downregulation of the mitogen-activated protein kinase-related signaling pathway (41). Moreover, CXCL12 has also been involved in the inflammation-induced progression of CRC. For example, the CXCL12/CXCR4 signaling pathway was shown to play a critical role in promoting the progression of inflammatory colorectal cancer by recruiting immunocytes and enhancing cytoskeletal remodeling (42). In addition, high tumor expression levels of CXCL12 were shown to reduce the sensitivity of CRC to radiotherapy by upregulating the expression of survivin (43). Collectively, the aforementioned results suggest that CXCL12 plays a key role in the progression of CRC. Another important question is whether interventions lowering the expression of CXCL12 in CRC could improve the clinical outcomes of the patients. An ongoing clinical trial evaluating the safety and efficacy of anti-CXCL12 (NOX-A12) in patients with advanced-stage pretreated metastatic CRC and pancreatic cancer (OPERA trial, Keynote-559; ClinicalTrials.gov identifier, NCT03168139) is expected to give an answer.
In the present meta-analysis, the HRs of the included datasets for the association between CXCL12 and survival outcomes were all >1 except for one dataset (Kim et al 2022; no PCRT) (30), which showed the HRs for the association were <1. Sensitivity analyses performed by excluding these datasets showed that it did not significantly affect the results (OS: HR, 1.79; 95% CI, 1.38-2.34; P<0.001; I2, 18%; PFS: HR, 2.12; 95% CI, 1.58-2.84; P<0.001; I2, 22%). However, between-study heterogeneity was slightly reduced, as evidenced by reduced I2 for both OS and PFS after removing the datasets, suggesting that this dataset at least partly explains the source of the heterogeneity. The reasons for the discrepancy between this dataset and the other included studies are currently unknown. In the study by Kim et al (30), it was shown that a higher expression level of CXCL12 may be associated with poor PFS in patients with CRC who received PCRT, but not in those who did not receive PCRT, suggesting that the association between CXCL12 and the survival of patients with CRC may be modified by the different treatment modalities. However, the present study was unable to determine the influence of anticancer modality on the aforementioned association in this meta-analysis, as most of the included studies did not provide stratified results according to the treatment modalities. Large-scale studies are needed to determine if the association between CXCL12 levels and the survival of patients with CRC is consistent in patients who receive different anticancer treatments.
The present meta-analysis also has certain limitations. Firstly, although the statistical heterogeneity observed in both the outcomes of OS and PFS was not significant (both I2 values of 33%), there may be clinical heterogeneity among the included studies, which could be a result of differences in patient comorbidities, anticancer treatments and methods for measuring CXCL12. Furthermore, as an outcome of patients with cancer, PFS is highly associated with the cancer stage and treatments. Although the HRs for PFS were pooled with the most adequately adjusted models in individual studies in order to minimize the influence of possible confounding factors on the association, the results may be confounded by differences of study characteristics such as cancer stages and treatment modalities. However, pooling the data of HRs for PFS in prognostic meta-analyses has been well applied in previous studies (44–46). In addition, most of the included studies were retrospective, which may confound the results by possible recall and selection biases. Large-scale prospective cohort studies are needed to confirm the findings of the present study. Finally, a causative association between high tumor expression levels of CXCL12 and poor survival in patients with CRC could not be derived from the present study, as it is a meta-analysis based on observational studies. As aforementioned, clinical trials are warranted to determine the possible influence of anti-CXCL12 on clinical outcomes in patients with CRC.
In conclusion, results of the meta-analysis indicated that a higher tumor expression level of CXCL12 is associated with the poor survival of patients with CRC. Studies are warranted to determine if CXCL12-targeted intervention could improve the prognosis of patients with CRC.
Acknowledgements
Not applicable.
Funding
Funding: No funding was received.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
SZ and GL designed the study, searched the literature, evaluated the study quality, extracted the study data, performed statistical analyses and interpreted the results. SZ drafted the manuscript. GL critically revised the manuscript. SZ and GL confirm the authenticity of all the raw data. Both authors have read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Xia C, Dong X, Li H, Cao M, Sun D, He S, Yang F, Yan X, Zhang S, Li N and Chen W: Cancer statistics in China and United States, 2022: Profiles, trends, and determinants. Chin Med J (Engl). 135:584–590. 2022. View Article : Google Scholar : PubMed/NCBI | |
Siegel RL, Miller KD, Fuchs HE and Jemal A: Cancer statistics, 2022. CA Cancer J Clin. 72:7–33. 2022. View Article : Google Scholar : PubMed/NCBI | |
Giaquinto AN, Miller KD, Tossas KY, Winn RA, Jemal A and Siegel RL: Cancer statistics for African American/Black People 2022. CA Cancer J Clin. 72:202–229. 2022. View Article : Google Scholar : PubMed/NCBI | |
Burnett-Hartman AN, Lee JK, Demb J and Gupta S: An update on the epidemiology, molecular characterization, diagnosis, and screening strategies for early-onset colorectal cancer. Gastroenterology. 160:1041–1049. 2021. View Article : Google Scholar : PubMed/NCBI | |
Biller LH and Schrag D: Diagnosis and treatment of metastatic colorectal cancer: A Review. JAMA. 325:669–685. 2021. View Article : Google Scholar : PubMed/NCBI | |
Bien J and Lin A: A review of the diagnosis and treatment of metastatic colorectal cancer. JAMA. 325:2404–2405. 2021. View Article : Google Scholar : PubMed/NCBI | |
Portella L, Bello AM and Scala S: CXCL12 Signaling in the tumor microenvironment. Adv Exp Med Biol. 1302:51–70. 2021. View Article : Google Scholar : PubMed/NCBI | |
Smit MJ, Schlecht-Louf G, Neves M, van den Bor J, Penela P, Siderius M, Bachelerie F and Mayor F Jr: The CXCL12/CXCR4/ACKR3 Axis in the Tumor Microenvironment: Signaling, crosstalk, and therapeutic targeting. Annu Rev Pharmacol Toxicol. 61:541–563. 2021. View Article : Google Scholar : PubMed/NCBI | |
Britton C, Poznansky MC and Reeves P: Polyfunctionality of the CXCR4/CXCL12 axis in health and disease: Implications for therapeutic interventions in cancer and immune-mediated diseases. FASEB J. 35:e212602021. View Article : Google Scholar : PubMed/NCBI | |
Huynh C, Dingemanse J, Meyer Zu Schwabedissen HE and Sidharta PN: Relevance of the CXCR4/CXCR7-CXCL12 axis and its effect in pathophysiological conditions. Pharmacol Res. 161:1050922020. View Article : Google Scholar : PubMed/NCBI | |
Janssens R, Struyf S and Proost P: The unique structural and functional features of CXCL12. Cell Mol Immunol. 15:299–311. 2018. View Article : Google Scholar : PubMed/NCBI | |
Lopez-Gil JC, Martin-Hijano L, Hermann PC and Sainz B Jr: The CXCL12 crossroads in cancer stem cells and their niche. Cancers (Basel). 13:4692021. View Article : Google Scholar : PubMed/NCBI | |
Mortezaee K: CXCL12/CXCR4 axis in the microenvironment of solid tumors: A critical mediator of metastasis. Life Sci. 249:1175342020. View Article : Google Scholar : PubMed/NCBI | |
Shi Y, Riese DJ II and Shen J: The Role of the CXCL12/CXCR4/CXCR7 chemokine axis in cancer. Front Pharmacol. 11:5746672020. View Article : Google Scholar : PubMed/NCBI | |
Mezzapelle R, Leo M, Caprioglio F, Colley LS, Lamarca A, Sabatino L, Colantuoni V, Crippa MP and Bianchi ME: CXCR4/CXCL12 activities in the tumor microenvironment and implications for tumor immunotherapy. Cancers (Basel). 14:23142022. View Article : Google Scholar : PubMed/NCBI | |
Goita AA and Guenot D: Colorectal cancer: The contribution of CXCL12 and its receptors CXCR4 and CXCR7. Cancers (Basel). 14:18102022. View Article : Google Scholar : PubMed/NCBI | |
Khare T, Bissonnette M and Khare S: CXCL12-CXCR4/CXCR7 axis in colorectal cancer: Therapeutic target in preclinical and clinical studies. Int J Mol Sci. 22:73712021. View Article : Google Scholar : PubMed/NCBI | |
Yoshitake N, Fukui H, Yamagishi H, Sekikawa A, Fujii S, Tomita S, Ichikawa K, Imura J, Hiraishi H and Fujimori T: Expression of SDF-1 alpha and nuclear CXCR4 predicts lymph node metastasis in colorectal cancer. Br J Cancer. 98:1682–1689. 2008. View Article : Google Scholar : PubMed/NCBI | |
Akishima-Fukasawa Y, Nakanishi Y, Ino Y, Moriya Y, Kanai Y and Hirohashi S: Prognostic significance of CXCL12 expression in patients with colorectal carcinoma. Am J Clin Pathol. 132:202–210. 2009. View Article : Google Scholar : PubMed/NCBI | |
Saigusa S, Toiyama Y, Tanaka K, Yokoe T, Okugawa Y, Kawamoto A, Yasuda H, Inoue Y, Miki C and Kusunoki M: Stromal CXCR4 and CXCL12 expression is associated with distant recurrence and poor prognosis in rectal cancer after chemoradiotherapy. Ann Surg Oncol. 17:2051–2058. 2010. View Article : Google Scholar : PubMed/NCBI | |
Sakai N, Yoshidome H, Shida T, Kimura F, Shimizu H, Ohtsuka M, Takeuchi D, Sakakibara M and Miyazaki M: CXCR4/CXCL12 expression profile is associated with tumor microenvironment and clinical outcome of liver metastases of colorectal cancer. Clin Exp Metastasis. 29:101–110. 2012. View Article : Google Scholar : PubMed/NCBI | |
Yopp AC, Shia J, Butte JM, Allen PJ, Fong Y, Jarnagin WR, DeMatteo RP and D'Angelica MI: CXCR4 expression predicts patient outcome and recurrence patterns after hepatic resection for colorectal liver metastases. Ann Surg Oncol. 19 (Suppl 3):S339–S346. 2012. View Article : Google Scholar : PubMed/NCBI | |
D'Alterio C, Avallone A, Tatangelo F, Delrio P, Pecori B, Cella L, Pelella A, D'Armiento FP, Carlomagno C, Bianco F, et al: A prognostic model comprising pT stage, N status, and the chemokine receptors CXCR4 and CXCR7 powerfully predicts outcome in neoadjuvant resistant rectal cancer patients. Int J Cancer. 135:379–390. 2014. View Article : Google Scholar : PubMed/NCBI | |
Amara S, Chaar I, Khiari M, Ounissi D, Weslati M, Boughriba R, Hmida AB and Bouraoui S: Stromal cell derived factor-1 and CXCR4 expression in colorectal cancer promote liver metastasis. Cancer Biomark. 15:869–879. 2015. View Article : Google Scholar : PubMed/NCBI | |
D'Alterio C, Nasti G, Polimeno M, Ottaiano A, Conson M, Circelli L, Botti G, Scognamiglio G, Santagata S, De Divitiis C, et al: CXCR4-CXCL12-CXCR7, TLR2-TLR4, and PD-1/PD-L1 in colorectal cancer liver metastases from neoadjuvant-treated patients. Oncoimmunology. 5:e12543132016. View Article : Google Scholar : PubMed/NCBI | |
de Cuba EM, de Hingh IH, Sluiter NR, Kwakman R, Coupé VM, Beliën JA, Verwaal VJ, Meijerink WJ, Delis-van Diemen PM, Bonjer HJ, et al: Angiogenesis-Related markers and prognosis after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy for metastatic colorectal cancer. Ann Surg Oncol. 23:1601–1608. 2016. View Article : Google Scholar : PubMed/NCBI | |
Stanisavljevic L, Assmus J, Storli KE, Leh SM, Dahl O and Myklebust MP: CXCR4, CXCL12 and the relative CXCL12-CXCR4 expression as prognostic factors in colon cancer. Tumour Biol. 37:7441–7452. 2016. View Article : Google Scholar : PubMed/NCBI | |
Mitchell A, Hasanali SL, Morera DS, Baskar R, Wang X, Khan R, Talukder A, Li CS, Manoharan M, Jordan AR, et al: A chemokine/chemokine receptor signature potentially predicts clinical outcome in colorectal cancer patients. Cancer Biomark. 26:291–301. 2019. View Article : Google Scholar : PubMed/NCBI | |
Lalos A, Tulek A, Tosti N, Mechera R, Wilhelm A, Soysal S, Daester S, Kancherla V, Weixler B, Spagnoli GC, et al: Prognostic significance of CD8+ T-cells density in stage III colorectal cancer depends on SDF-1 expression. Sci Rep. 11:7752021. View Article : Google Scholar : PubMed/NCBI | |
Kim S, Yeo MK, Kim JS, Kim JY and Kim KH: Elevated CXCL12 in the plasma membrane of locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A potential prognostic marker. J Cancer. 13:162–173. 2022. View Article : Google Scholar : PubMed/NCBI | |
Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, et al: PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ. 372:n1602021. View Article : Google Scholar : PubMed/NCBI | |
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, et al: The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 372:n712021. View Article : Google Scholar : PubMed/NCBI | |
Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page MJ and Welch VA: Cochrane Handbook for Systematic Reviews of Interventions version 6.2. The Cochrane Collaboration. www.training.cochrane.org/handbook2021 | |
Wells GA, Shea B, O'Connell D, Peterson J, Welch V, Tugwell P and Losos M: The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp2010 | |
Higgins JP and Thompson SG: Quantifying heterogeneity in a meta-analysis. Stat Med. 21:1539–1558. 2002. View Article : Google Scholar : PubMed/NCBI | |
Patsopoulos NA, Evangelou E and Ioannidis JP: Sensitivity of between-study heterogeneity in meta-analysis: Proposed metrics and empirical evaluation. Int J Epidemiol. 37:1148–1157. 2008. View Article : Google Scholar : PubMed/NCBI | |
Egger M, Davey Smith G, Schneider M and Minder C: Bias in meta-analysis detected by a simple, graphical test. BMJ. 315:629–634. 1997. View Article : Google Scholar : PubMed/NCBI | |
Samarendra H, Jones K, Petrinic T, Silva MA, Reddy S, Soonawalla Z and Gordon-Weeks A: A meta-analysis of CXCL12 expression for cancer prognosis. Br J Cancer. 117:124–135. 2017. View Article : Google Scholar : PubMed/NCBI | |
Li YP, Pang J, Gao S, Bai PY, Wang WD, Kong P and Cui Y: Role of CXCR4 and SDF1 as prognostic factors for survival and the association with clinicopathology in colorectal cancer: A systematic meta-analysis. Tumour Biol. 39:10104283177062062017.PubMed/NCBI | |
Brand S, Dambacher J, Beigel F, Olszak T, Diebold J, Otte JM, Göke B and Eichhorst ST: CXCR4 and CXCL12 are inversely expressed in colorectal cancer cells and modulate cancer cell migration, invasion and MMP-9 activation. Exp Cell Res. 310:117–130. 2005. View Article : Google Scholar : PubMed/NCBI | |
Ma J, Su H, Yu B, Guo T, Gong Z, Qi J, Zhao X and Du J: CXCL12 gene silencing down-regulates metastatic potential via blockage of MAPK/PI3K/AP-1 signaling pathway in colon cancer. Clin Transl Oncol. 20:1035–1045. 2018. View Article : Google Scholar : PubMed/NCBI | |
Yu X, Wang D, Wang X, Sun S, Zhang Y, Wang S, Miao R, Xu X and Qu X: CXCL12/CXCR4 promotes inflammation-driven colorectal cancer progression through activation of RhoA signaling by sponging miR-133a-3p. J Exp Clin Cancer Res. 38:322019. View Article : Google Scholar : PubMed/NCBI | |
Wang D, Jiao C, Zhu Y, Liang D, Zao M, Meng X, Gao J, He Y, Liu W, Hou J, et al: Activation of CXCL12/CXCR4 renders colorectal cancer cells less sensitive to radiotherapy via up-regulating the expression of survivin. Exp Biol Med (Maywood). 242:429–435. 2017. View Article : Google Scholar : PubMed/NCBI | |
Fang Y, Zheng T and Zhang C: Prognostic Role of the C-Reactive Protein/Albumin ratio in patients with gynecological cancers: A meta-analysis. Front Oncol. 11:7371552021. View Article : Google Scholar : PubMed/NCBI | |
Kim MS, Chun SW, Dho YS, Seo Y, Lee JH, Won JK, Kim JW, Park CK, Park SH and Kim YH: Histopathological predictors of progression-free survival in atypical meningioma: A single-center retrospective cohort and meta-analysis. Brain Tumor Pathol. 39:99–110. 2022. View Article : Google Scholar : PubMed/NCBI | |
Peng Q, Liu L, Li T, Lei C and Wan H: Prognostic impact of prognostic nutritional index on renal cell carcinoma: A meta-analysis of 7,629 patients. PLoS One. 17:e02651192022. View Article : Google Scholar : PubMed/NCBI |