Literature DB >> 31191002

Elevated nuclear YBX1 expression and the clinicopathological characteristics of patients with solid tumors: a meta-analysis.

Chunze Zhang1,2, Tingting Yin3, Ran Tao4, Bo Xiao5, Jing Chen4, Zixuan Li5, Xueyuan Miao3, Qing Peng3, Liu Sun3, Weihua Zhang1, Junxu Ren4, Zhao Zhang1, Ying Zhang1, Xichuan Li6, Wei Zhang5.   

Abstract

Purpose: Y-box binding protein 1 (YBX1) is a multifunctional protein linked to tumor progression and its elevated expression is an indicator of poor prognosis in various cancers. This meta-analysis aimed to investigate the prognostic value and clinical significance of YBX1 in malignant cancer.
Methods: Relevant articles published through September 12, 2018 were identified from a comprehensive electronic and manual search in PubMed, Web of Science and Embase databases. The combined odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (95% CIs) were used to estimate the relationship among clinicopathological characteristics, overall survival and disease-free-survival of patients with solid tumor and YBX1 expression.
Results: The study included 27 studies and 5,996 patients. Our analysis revealed significant association between increased YBX1 expression and tumor differentiation status, tumor size and lymph node metastasis; moreover, the pooled HR values demonstrated that high nuclear YBX1 expression was significantly associated with worse overall survival (HR=2.14; 95% CI: 1.72-2.67, P<0.001).
Conclusion: The evidence supports YBX1 as a tumor biomarker to guide clinical management and indicate prognosis.

Entities:  

Keywords:  YBX1; meta-analysis; prognosis; solid tumors

Year:  2019        PMID: 31191002      PMCID: PMC6526190          DOI: 10.2147/CMAR.S195243

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Y-box binding protein 1 (YBX1) is a multifunctional protein of the cold-shock superfamily which plays different roles in both nucleus and cytoplasm. As a transcription regulator within the nucleus, YBX1 regulates the expression of several genes by binding to the Y-box sequence located in the promoter which contributes to transcription regulation. In the cytoplasm, it binds to mRNA to regulate the translation process.1 Hence, YBX1 plays prominent prooncogenic roles in DNA repair,2 RNA splicing,3,4 cell proliferation,5,6 drug resistance,6,7 tumor invasion1,6,8 and metastasis,8 and is an indicator of poor prognosis1 in various cancers, including nasopharyngeal carcinoma,1bladder cancer,7 breast cancer,8 urothelial cancer,6 and melanoma.5 Recently, increasing researches has shown that nuclear expression of YBX1 correlates with poor prognosis in synovial sarcoma and colorectal cancer.4,9,10 Simultaneously, it has been suggested that the value of cytoplasmic YBX1 can act as a prognostic marker for breast cancer.11 This meta-analysis aimed to investigate the prognostic value and clinical significance of YBX1 in malignant solid cancer.

Materials and methods

Literature search strategy and study selection

The literature related to YBX1 prior to September 12, 2018, was retrieved from PubMed, Web of Science and Embase databases. Web searches were performed using the terms: (YBX1 OR YB-1 OR Y-box binding protein 1) AND (cancer OR tumor OR carcinoma OR neoplasm) AND (survival OR prognosis OR prognostic OR outcome). The language was limited to English. The Cochrane Library was also reviewed for related papers.

Criteria for inclusion

The following inclusion criteria were used: (1) randomized controlled trial; (2) patients with pathological diagnosis of malignant solid tumor; (3) connections of YBX1 expression with overall survival (OS) and/or disease-free survival (DFS) were described; (4) the full text of YBX1 expression of original research was published in the aforementioned three databases; (5) the expression of YBX1 was assessed by immunohistochemistry (IHC); (6) hazard ratios (HRs) and confidence intervals (CIs) were available; (7) studies were related to the full protein of YBX1; and (8) the studies of reviews or insufficient data were not included.

Data extraction and quality assessment

Two investigators (Tingting Yin, Bo Xiao and Jing Chen) executed the data extraction and the quality assessment. The following data of the eligible studies included the name of first author; publication year; study region; pathological type of tumors; and number of patients,detection methods, cut-off values, and prognostic outcomes (overall survival [OS], disease-free survival [DFS]). We will use the Engauge Digitizer V4.1 (downloaded from the website at: https://engauge-digitizer.updatestar.com/en) to extract the data of survival when the studies did not have HRs but presented Kaplan-Meier curves. The authors (Xueyuan Miao) assessed the qualities of the records by using the Newcastle-Ottawa Scale (NOS) independently.12 Moreover, we assessed the score of each selected study based on the patient selection, comparability of the studied group and outcome according to the NOS. The final score of each selected research was scored when there were no conflicts.

Statistical analysis

Stata12.0 (Stata Corporation, College Station, TX, USA) software was used for meta-analysis and publication bias testing. The dichotomous data of hazard ratios (HRs) with 95% confidence intervals (CIs) were used to assess the relevance between YBX1 expression and OS and DFS, whereas pooled estimates of ORs with 95% CIs were used to assess the relevance between YBX1 expression and clinical characteristics. The I2 statistical test was used for revealing heterogeneity among these studies, and the fixed-effects model and random-effects model were used for meta-analyses with low heterogeneity (I2<30%) and high heterogeneity (I2>30%) conditions. HRs>1 suggestedpoor prognosis of cancer patients with decreased YBX1 expression. Finally, we conducted a simple assessment by sensitivity analysis and evaluation of publication bias (P≤0.05 was considered statistically significant), and the credibility of our research was confirmed.

Results

The characteristics of the included studies

The detailed selection process is described in Figure 1. A total of 27 studies9,11,13-37 published from 2001 to 2016, with 5,996 patients were selected to evaluate the relationship of YBX1 expression and tumor prognosis. All studies shown in Table 1 were published prior to September 12, 2018. The participants in the studies covered a wide variety of countries and cancer types including: gastric cancer, colorectal cancer, lung cancer, breast cancer, hepatocellular carcinoma, prostate cancer, sarcoma, renal cell carcinomas, lymphoma, uterine cervical cancer, pleural mesothelioma, non-Hodgkin’s lymphomas, nasopharyngeal cancer, synovial sarcoma and bladder cancer. The NOS scores of the included 27 studies ranged from 5 to 8 and; therefore, they wewe high-quality.
Figure 1

Flow diagram of the selection of eligible studies.

Table 1

Main characteristics of studies exploring the relationship between YBX1 expression and tumor prognosis

AuthorCancer typeYearRegionBrand of antibodyStage/gradeNo. of patientsFollow-up time (months)Cut-off valueOutcomesSubtype of YBX1NOS score
Liu Q et al25Hepatocellular carcinoma2016ChinaSanta Cruz BiotechnologyI–IV109NRScores >4OSNR7
Shiraiwa S et al29Colorectal cancer2016JapanNRIII124NRNROS, DFSNuclear7
Yan XB et al35Colorectal cancer2014ChinaEpitomicsA–D170NRScores ≥3OSNR7
Jürchott K et al23Colorectal cancer2010GermanyNRNR118NRScores ≥2OSNuclear, Cytoplasmic7
Wu Y et al34Gastric cancer2012JapanNRIB, II–IV9866 (2–200)>25%OS, DFSNR6
Tay WL et al32Nasopharyngeal cancer2009SingaporeNRI–IV135750 dIPS≥200OSNR8
Wang Y et al33Renal cell carcinoma2015ChinaAbcamI–IV8013Scores >3OSNuclear7
Zhao S et al36Lung adenocarcinoma2016ChinaAbcamIA, IB, IIA7532Scores >3.5OS, DFSNR6
Hyogotani A et al20Lung cancer2012JapanNichireiI–IV105NR>10%OSNuclear7
Shibahara K et al28Non-small cell lung cancer2001JapanNRNR19675.6 (25–110)NROSNuclear8
Kashihara M et al24Non-small cell lung cancer2009JapanNRNR1041511.5 (159–3801 d)Scores ≥2OSNuclear7
Gessner C et al17Non-small cell lung cancer2004GermanyNRI–IV775>10%OSNuclear7
Abd EI-Maqsoud NM et al14Prostate cancer2016EgyptAbcamI–IV10621 (4–60)Scores >4OSNuclear, cytoplasm7
Imada K et al21Prostate cancer2013JapanEpitomicsNR1655.01 yN≥10%, C≥7DFSNuclear, cytoplasm8
Lee A et al11Breast cancer2016KoreaNovus BiologicalsI–V23359.0±25.1Scores >4OS, DFSCytoplasm7
Maciejczyk A et al37Breast cancer2012PolandNRII10114.2 (9.1 –16.5 y)Scores ≥4OS, DFSNuclear8
Dahl E et al15Breast cancer2009GermanyNRI–IV15990 (72–109)Scores >3OS, DFSNuclear7
Gluz O et al18Breast cancer2009GermanyNRI–III21161.7Scores >1OS, DFSNR8
Habibi G et al19Breast cancer2008CanadaGiftI–III309720 yScores ≥1OSNR7
Saji H et al27Breast cancer2003JapanGiftNR31NR>10%DFSNuclear6
EI-Naggar AM et al16Sarcoma2015CanadaSanta Cruz Biotech/ Cell Signaling TechnologyNR34NRNROS, DFSNR6
Oda Y et al9Synovial sarcoma2003JapanNRIII, IV5446.9 (1–233)>10%OSNuclear6
Iwanami T et al22Pleural mesothelioma2014JapanNRI–IV33357 d>60%OSNR6
Zhao Z et al13Natural Killer/T-cell lymphoma2014ChinaCell Signaling TechnologyI–II3659.6 (4–132)Hscore ≥200OS, DFSNR5
Szczuraszek K et al31Non-Hodgkin′s lymphoma2011PolandNRI–IV5632 (1–102)Scores ≥6OS, DFSNR5
Nishio S et al26Uterine cervical cancer2014JapanNRI–II20425.1Scores ≥2OS, DFSNuclear7
Song YH et al30Bladder cancer2014JapanEpitomicsNR5325Scores >4OSNR6

Abbreviations: NR, not reported; y, years; d, days; OS, overall survival; DFS, disease-free survival; IPS, intensity–percentage score; N, Nuclear; C, Cytoplasm.

Main characteristics of studies exploring the relationship between YBX1 expression and tumor prognosis Abbreviations: NR, not reported; y, years; d, days; OS, overall survival; DFS, disease-free survival; IPS, intensity–percentage score; N, Nuclear; C, Cytoplasm. Flow diagram of the selection of eligible studies.

Correlation of YBX1 expression with overall survival (OS)

OS was investigated in 25 studies including 5,768 patients. Two articles explored both nuclear YBX1 and cytoplasmic YBX1, so we regarded them as separate data. The pooled HR values revealed that high YBX1 expression was significantly associated with worse OS (HR=1.90; 95% CI: 1.69–2.14, P=0.005, Figure 2). In addition, because of heterogeneity (I2=46.0%), a random-effects model was used to pool HRs and 95% CIs. A subgroup analysis was conducted to detect the origin of heterogeneity depending on the type of YBX1(Figure 3). Increased nuclear expression of YBX1 (HR=2.14; 95% CI: 1.72–2.67, P<0.001) was significantly associated with worse OS in solid tumors but not with cytoplasmic expression of YBX1 (HR=1.79; 95% CI: 0.88–3.65, P=0.063) or elevated not reported YBX1 expression (HR=1.83; 95% CI: 1.61–2.09, P=0.734). These results indicate that increased nuclear expression of YBX1 is a prognostic factor for various solid tumors.
Figure 2

Forest plot describing the association between YBX1 expression and overall survival (random-effects analysis).

Abbreviation: ES, effect size.

Figure 3

Subgroup analysis of overall survival and YBX1 protein type (random-effects analysis).

Abbreviation: ES, effect size.

Forest plot describing the association between YBX1 expression and overall survival (random-effects analysis). Abbreviation: ES, effect size. Subgroup analysis of overall survival and YBX1 protein type (random-effects analysis). Abbreviation: ES, effect size.

Correlations of YBX1 expression with disease-free survival (DFS)

DFS was investigated in 15 studies including 4,788 patients. One of the studies was treated as the two data in both nucleus and cytoplasm. The pooled HR values revealed that there was a clear correlation between a high expression of YBX1 and a worse DFS (HR=1.84; 95% CI: 1.60–2.12, P<0.001, Figure 4) with obvious heterogeneity ((I2=70.0%), so we adopted a random-effect model for the analysis. The effects of YBX1 expression on DFS in different types of YBX1 protein are shown in Figure 5. Increased nuclear YBX1 expression (HR=3.44; 95% CI: 2.42–4.89, P<0.001) was significantly associated with worse DFS, whereas elevated cytoplasmic expression of YBX1 (HR=1.49; 95% CI: 0.97–2.27, P=0.520) and high expression of YBX1 not reported (HR=1.64; 95% CI: 1.40–1.93, P=0.120) with poor DFS were not significantly associated.
Figure 4

Forest plot describing the association between YBX1 expression anddisease-free survival (random-effects analysis).

Abbreviation: ES, effect size.

Figure 5

Subgroup analysis of disease-free survival and YBX1 protein type (random-effects analysis).

Abbreviation: ES, effect size.

Forest plot describing the association between YBX1 expression anddisease-free survival (random-effects analysis). Abbreviation: ES, effect size. Subgroup analysis of disease-free survival and YBX1 protein type (random-effects analysis). Abbreviation: ES, effect size.

Correlations of YBX1 expression with clinicopathological parameters

Seventeen eligible articles were used to collect the clinical and pathological parameters. The clinical features of the selected studies are listed in Table S1. Meanwhile, the association of YBX1 expression with clinicopathological parameters is illustrated in Table 2. Elevated expression of YBX1 was related to tumor differentiation status (OR=2.85, 95% CI: 2.10–3.88), tumor size (OR=2.16, 95% CI: 1.61–2.73) and lymph node metastasis (OR=1.74, 95% CI: 1.38–2.19) which were independent of gender (OR=1.06, 95% CI: 0.85–1.33), distant metastasis (OR=1.27, 95% CI: 0.88–1.84) and clinical stages (OR=1.41, 95% CI: 0.94–2.11).
Table S1

Summarized data of clinical and pathological parameters from the eligible studies

First authorSubgroup typeGenderTumor differentiation statusTumor sizeLymph node metastasisDistant metastasisClinical stage
MaleFemalePoor /middle/undifferentiatedWell-differentiatedT3-4T1-2YesNoYesNoIII-IVI-II
+-+-+-+-+-+-+-+-+-+-+-+-
Liu Q et al1592217115861827NRNRNRNRNRNRNRNR351741162222375
Shiraiwa S et al2453233141056841683610107846NRNR126693023NRNRNRNR
Zhao S et al31621152321151029NRNRNRNR552639532641NRNR3144
Abd EI-Maqsoud NM et al4NuclearNRNRNRNR24354131620122878214019239251920928
CytoplasmNRNRNRNR3821107261022181323526251319153091819
Lee A et al5NRNRNRNR9165205210410211744436878NRNRNRNRNRNRNRNR
Wang Y et al6445036353119496643173768NRNRNRNR287527831194966
Yan XB et al753383544NRNRNRNR3647523536495233NRNRNRNRNRNRNRNR
Zhao Z et al891458NRNRNRNRNRNRNRNRNRNRNRNRNRNRNRNRNRNRNRNR
Nishio S et al9NRNRNRNRNRNRNRNRNRNRNRNR18362312727821481NRNR41163
Song YH et al102418652819242387151021921229814NRNRNRNR
Hyogotani A et al11283312323425640NRNRNRNRNRNRNRNRNRNRNRNR15122553
Wu Y et al122344625NRNRNRNR10291940214282702296718341135
Szczuraszek K et al13275213253215NRNRNRNRNRNRNRNR15229534780
Dahl E et al14NRNRNRNR411011161719259826541560NRNRNRNRNRNRNRNR
Gluz O et al15NRNRNRNR1197759NRNRNRNRNRNRNRNRNRNRNRNRNRNRNRNR
Tay WL et al1639591324NRNRNRNR2336284340571122175073NRNRNRNR
Shibahara K et al17NSCLC53783530637122313017589146374170NRNRNRNRNRNRNRNR
Adenocarcinoma3329302342291921208434428173434NRNRNRNRNRNRNRNR
Squamous cell carcinoma204957214231010915471820736NRNRNRNRNRNRNRNR

Abbreviations: NSCLC, non-small cell lung cancer; NR, not reported.

Table 2

Meta-analystic results of the associations of increased YBX1 expression with clinicopathological parameters

Clinicopathological parameterNumber of studiesOverall OR (95%CI)Heterogeneity test (I2, P-value)
Gender (male vs female)141.06 (0.85, 1.33)22.6% 0.208
Tumor differentiation status (poor vs well)152.85 (2.10, 3.88)54.3% 0.006
Tumor size (T3–4 vs T1–2)132.16 (1.61, 2.73)71.4% 0.000
Lymph node metastasis (yes vs no)131.74 (1.38, 2.19)59.0% 0.004
Distant metastasis (yes vs no)121.27 (0.88, 1.84)66.0% 0.001
Clinical stage (III–IV vs I–II)71.41 (0.94, 2.11)78.3% 0.000
Meta-analystic results of the associations of increased YBX1 expression with clinicopathological parameters

Assessment of heterogeneity and sensitivity analysis

Publications about OS, DFS and clinical pathological parameter analyses adopted the random-effect models because there was significant heterogeneity (I2>30%). Moreover, a sensitivity analysis was used to determine whether modifications of the included criteria affected the results (Figure 6). The results indicated that the pooled estimates of the effect of high-expressed YBX1 on OS and DFS in solid tumors did not vary significantly with the exclusion of any individual studies.
Figure 6

Sensitivity analysis of the overall survival (OS) and disease-free survival (DFS) in the meta-analysis. (A) DFS; (B) OS.

Sensitivity analysis of the overall survival (OS) and disease-free survival (DFS) in the meta-analysis. (A) DFS; (B) OS.

Publication bias

The publication bias of these applicable studies was constructed using Begg’s funnel plot with pseudo–95% confidence limits and Egger’s test to assess. The shapes of the funnel plots for OS, DFS and clinicopathological parameters showed no evidence of obvious asymmetry, and Egger’s test indicated the absence of publication bias (P>0.05). The preceding results revealed that this meta-analysis was statistically reliable. Furthermore, these findings provided other strong evidence to verify that high-level of YBX1 was a prognostic indicator for cancer patients (Figure 7).
Figure 7

Funnel plot for the assessment of potential publication bias regarding overall survival (OS), disease-free survival (DFS) and clinicopathological parameters in the meta-analysis. (A) DFS; (B) OS; (C) lymph node metastasis; (D) tumor differentiation status; (E) tumor size.

Funnel plot for the assessment of potential publication bias regarding overall survival (OS), disease-free survival (DFS) and clinicopathological parameters in the meta-analysis. (A) DFS; (B) OS; (C) lymph node metastasis; (D) tumor differentiation status; (E) tumor size.

Discussion

YBX1 (Y-box-binding protein 1) is encoded by the YBX1 gene expression in the nucleus and the cytoplasm and plays pleiotropic roles in DNA repair,2 RNA splicing,3,4 drug resistance, cancer progression, invasion, and metastasis.6–8 Previous massive studies proved that high level expressions of YBX1, whether in nucleus or cytoplasm were significantly correlated with the clinicopathological features as poor prognostic factors in various cancers.7,9–11 Here, we reviewed almost all available published articles and conducted the present meta-analysis to investigate the prognostic value and clinical significance of YBX1 in solid malignant cancers. The meta-analysis of 27 studies based on the random-effects model is to discuss all the reported research exploring the hypothesis that a high-level nuclear expression of YBX1 was a promising prognostic factor for worse DFS and OS in patients with various solid tumors. Moreover, phosphorylated YBX1 enters into the nuclear compartment and binds to the promoter region of targeted genes,38 one of the 27 studies explored the relationship between phosphorylated YBX1 and overall survival in patients with high-grade serous ovarian cancer (HR=2.41, 95% CI: 1.34–4.33). This result coincides with our conclusion. However, in our study, although the high expression of YBX1 in cytoplasm was not statistically significant due to the number of cases or to the other reason, the HR value proved that YBX1 was associated with OS and DFS. Therefore, we could not deny directly that increased cytoplasmic YBX1 expression was not associated with OS or DFS. Elevated expression of YBX1 has degenerative feedback regulation with tumor differentiation status, tumor size and lymph node metastasis. Sensitivity analysis showed that no individual studies affected the overall results, indicating the stability of the aggregated results. Furthermore, no publication bias was observed. Thus, we conclude that the expression of YBX1 may be a biomarker of poor clinically pathologic prognostic factors in cancers. When explaining the results of our meta-analysis, we should consider some restrictions. One of the major restrictions is a lack of stratified analysis for different tumor subtypes, different clinical stages or others. For instance, we previously mentioned that nuclear YBX1 expression predicts poor clinical outcome in stage III colorectal cancer, but fewer studies were focused on the other clinical stages of colorectal cancer. Additional studies with larger samples and standard testing methods are required to reach a consensus. Next, different threshold values of high-level YBX1 expression in each study may have led to an increase in the heterogeneity. A common cutoff value should be defined. The third restriction is that all incorporated studies are retrospective studies with positive results, which was considered to be more easily published. Thus, our assessment of the relationship betweene elevated YBX1 expression and outcome carries the possibility of overestimation. Finally, the literature was restricted to English-written papers, which may have introduced language bias. Many included studies that did not report clinicopathological features, which may lead to bias. Given all theselimitations, our results should be considered cautiously.

Conclusion

The present meta-analysis, according to published articles, demonstrated that elevated nuclear YBX1 expression was closely correlated with poorer survival of patients with various solid cancers, such as prostate cancer, sarcoma, renal cell carcinomas, lymphoma, uterine cervical cancer, and pleural mesothelioma. In addition, there are remarkably negative relevant relationships between highly -expressed YBX1 and tumor differentiation status, tumor size and lymph node metastasis. Last, our results should be interpreted carefully for the aforementioned heterogeneity and limitations. The results of this meta-analysis warrant performance of additional clinical studies of YBX1 in human solid tumors.
  37 in total

1.  Effect of YB-1 on the regulation of micro RNA expression in drug-sensitive and drug-resistant gastric carcinoma cells.

Authors:  Elisa Belian; Reka Kurucz; Denise Treue; Hermann Lage
Journal:  Anticancer Res       Date:  2010-02       Impact factor: 2.480

2.  Nuclear expression of the Y-box binding protein, YB-1, as a novel marker of disease progression in non-small cell lung cancer.

Authors:  K Shibahara; K Sugio; T Osaki; T Uchiumi; Y Maehara; K Kohno; K Yasumoto; K Sugimachi; M Kuwano
Journal:  Clin Cancer Res       Date:  2001-10       Impact factor: 12.531

3.  Nuclear expression of Y-box-binding protein-1 correlates with P-glycoprotein and topoisomerase II alpha expression, and with poor prognosis in synovial sarcoma.

Authors:  Yoshinao Oda; Yoshihiro Ohishi; Tsuyoshi Saito; Eiji Hinoshita; Takeshi Uchiumi; Naoko Kinukawa; Yukihide Iwamoto; Kimitoshi Kohno; Michihiko Kuwano; Masazumi Tsuneyoshi
Journal:  J Pathol       Date:  2003-02       Impact factor: 7.996

4.  Y-box-binding protein YB-1 identifies high-risk patients with primary breast cancer benefiting from rapidly cycled tandem high-dose adjuvant chemotherapy.

Authors:  Oleg Gluz; Karin Mengele; Manfred Schmitt; Ronald Kates; Raihana Diallo-Danebrock; Frauke Neff; Hans-Dieter Royer; Niels Eckstein; Svjetlana Mohrmann; Evelyn Ting; Marion Kiechle; Christopher Poremba; Ulrike Nitz; Nadia Harbeck
Journal:  J Clin Oncol       Date:  2009-11-09       Impact factor: 44.544

5.  Nuclear YB-1 expression as a negative prognostic marker in nonsmall cell lung cancer.

Authors:  C Gessner; C Woischwill; A Schumacher; U Liebers; H Kuhn; P Stiehl; K Jürchott; H D Royer; C Witt; G Wolff
Journal:  Eur Respir J       Date:  2004-01       Impact factor: 16.671

6.  Nuclear Y-box binding protein-1, a predictive marker of prognosis, is correlated with expression of HER2/ErbB2 and HER3/ErbB3 in non-small cell lung cancer.

Authors:  Masaki Kashihara; Koichi Azuma; Akihiko Kawahara; Yuji Basaki; Satoshi Hattori; Takashi Yanagawa; Yasuhiro Terazaki; Shinzo Takamori; Kazuo Shirouzu; Hisamichi Aizawa; Kenji Nakano; Masayoshi Kage; Michihiko Kuwano; Mayumi Ono
Journal:  J Thorac Oncol       Date:  2009-09       Impact factor: 15.609

7.  Y-Box-binding protein-1 is a promising predictive marker of radioresistance and chemoradioresistance in nasopharyngeal cancer.

Authors:  Wei-Lin Tay; George Wai-Cheong Yip; Puay-Hoon Tan; Ken Matsumoto; Richard Yeo; Tze-Pin Ng; Srinivasan Dinesh Kumar; Masafumi Tsujimoto; Boon-Huat Bay
Journal:  Mod Pathol       Date:  2008-10-31       Impact factor: 7.842

8.  Nuclear expression of YB-1 protein correlates with P-glycoprotein expression in human breast carcinoma.

Authors:  Hisashi Saji; Masakazu Toi; Shigehira Saji; Morio Koike; Kimitoshi Kohno; Michihiko Kuwano
Journal:  Cancer Lett       Date:  2003-02-20       Impact factor: 8.679

9.  Redefining prognostic factors for breast cancer: YB-1 is a stronger predictor of relapse and disease-specific survival than estrogen receptor or HER-2 across all tumor subtypes.

Authors:  Golareh Habibi; Samuel Leung; Jennifer H Law; Karen Gelmon; Hamid Masoudi; Dmitry Turbin; Michael Pollak; Torsten O Nielsen; David Huntsman; Sandra E Dunn
Journal:  Breast Cancer Res       Date:  2008-10-16       Impact factor: 6.466

10.  Nuclear detection of Y-box protein-1 (YB-1) closely associates with progesterone receptor negativity and is a strong adverse survival factor in human breast cancer.

Authors:  Edgar Dahl; Abdelaziz En-Nia; Frank Wiesmann; Renate Krings; Sonja Djudjaj; Elisabeth Breuer; Thomas Fuchs; Peter J Wild; Arndt Hartmann; Sandra E Dunn; Peter R Mertens
Journal:  BMC Cancer       Date:  2009-11-24       Impact factor: 4.430

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  1 in total

1.  A novel long noncoding RNA, TMEM92-AS1, promotes gastric cancer progression by binding to YBX1 to mediate CCL5.

Authors:  Shubin Song; Xuezhi He; Jing Wang; Hongtao Song; Yimin Wang; Yansong Liu; Zhengbo Zhou; Zhiyong Yu; Dengshun Miao; Yingwei Xue
Journal:  Mol Oncol       Date:  2021-01-12       Impact factor: 6.603

  1 in total

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