Abstract
Objectives:
This study aimed to assess the prognostic value of cortactin and HS1 genes expression in adult B-cell acute lymphoblastic leukemia.
Methods:
The study included a cohort of 74 adult B-ALL patients and 76 controls. Cortactin and HS1 genes expression were quantified by real time PCR.
Results:
The expression of cortactin and HS1 were significantly higher in B-ALL patients at diagnosis as compared to post induction levels (P<0.001) as well as normal controls (P<0.001 for all). Cox regression analysis revealed that B-ALL patients with high Cortactin expression as well as high HS1 expression had significant high risk of relapse (P=0.005; Odds ratio (OR)= 1.428, CI= [1.175-1.783]; and P=0.003; OR= 1.078, CI= [1.025-1.134]; respectively) and higher probability of deaths (P= 0.041; OR=1.092, CI =[1.002-1.04]; and P=0.005; OR=1.071, CI=[1.013-1,041]; respectively). Survival analysis revealed that B-ALL patients with high cortactin and high HS1 expression had significantly shorter OS and increased frequency of relapse as compared to those with lower expression levels (P <0.01 for all).
Conclusion:
High cortactin and HS1 genes expression at diagnosis denote bad clinical outcome in B-ALL patients. Assessment of correction expression at B-ALL diagnosis could be considered as risk biomarker at diagnosis.
Key Words: Cortactin, HS1, ALL, outcome
Introduction
Acute lymphoblastic leukemia (ALL) is an abnormal proliferation and differentiation of a clonal population of lymphoid cells within bone marrow and blood stream. About 80% of ALL occurs in children with a median age of 16 at diagnosis. In adults, ALL is less common than acute myeloid leukemia (AML) but when occurs, it represents a devastating disease (Terwilliger et al., 2017). ALL follows a bimodal distribution; the first peak occurs in patients around 5 years of age followed by a second peak at around 50 years of age (Paul et al., 2016). In ALL the leukemic cells arise from either B-cell (B-ALL) or T-cell (T-ALL) progenitors. B-ALL accounts for about 80% of ALL cases and occur at any age, however it mainly affects children. (Chiarini et al., 2016). Although the new treatment modalities resulted in an increased overall survival (OS) up to 80%, there are still a percentage of patients that develop treatment resistance and relapse (Bhojwani and Pui 2013). Bone marrow (BM) relapse most common than extramedullary infiltration such as central nervous system (CNS); with a generally worse survival (Malempati et al., 2007). Several studies have demonstrated the role played by BM and CNS microenvironment in developing relapse (Gossai et al., 2017). Several Proteins such as Rho GTPases act on leucocytes and leukemic cells to promote trans-endothelial migration (TEM) that may later trigger organ infiltration (Bogert et al., 2020).
Cortactin, one of sarcoma (Src) kinases, is an actin-binding protein which is expressed in nearly all cells and it is involved in cytoskeletal regulation including cell adhesion and migration (Schnoor et al., 2018). It plays a vital role in invadopodia formation and extra cellular matrix degradation (Kirkbride et al., 2011). Cortactin overexpression is associated with increased metastasis and worse prognosis in different types of solid tumors (Yin et al., 2017) such as head and neck tumors (Timpson et al., 2007), gastric tumors (Wei et al., 2014), and colorectal carcinomas (Jing et al., 2016). Hematopoietic cell-specific lyn substrate-1 (HS1) is a cortactin homologue that is exclusively expressed in hematopoietic cells and has many overlapping functions with cortactin including cell migration (Castro-Ochoa et al., 2016). Recent studies have demonstrated cortactin overexpression to be related to disease progression and bad prognosis in different hematological malignancies such as B-CLL (Gattazzo et al 2014), non-Hodgkin B-cell lymphomas (Pizzi et al., 2019) and B-cell ALL (Velázquez-Avila et al., 2019). Therefore, the aim of the present work is to assess the clinical value of cortactin and HS1expression in B-cell acute lymphoblastic leukemia.
Materials and Methods
Patients
This study was carried out on 74 B-ALL patients (39 male and 35 females, mean age of 38.4 [±12.8] years) attending outpatient clinic of Mansoura University oncology Center. A total number of 76 healthy controls of matched age and gender were included in the study. This study was reviewed and approved by the local Ethics
Committees at Mansoura
Faculty of Medicine, Mansoura University. Written informed consent was taken from patients participating in the study according to the Declaration of Helsinki.
The diagnosis was based on patients’ history, complete blood counts (CBC), blood smear, bone marrow aspirate smear, LDH level, immunophenotyping and cytogenetic analysis. Patients were classified according to the 2016 WHO criteria. The patient’s characteristics are shown in Table 1.
Table 1.
Patients' Characteristics
| ALL (n=74) | ||
|---|---|---|
| TLC (X109/L) Median (IQR) | 25.6 (5.8-74.6) | |
| Hb (g/dL) Median( IQR) | 8.5 (7.6-9.5) | |
| RBCS (X1012/L) Median ( IQR) | 3.2 (2.8-3.5) | |
| Platelets (X109/L) Median ( IQR) | 35.2 (18-102) | |
| BM blasts (%) Median (IQR) | 80 (70-90) | |
| LDH (U/L) Median ( IQR) | 612 (429.75-1012.5) | |
| Philadelphia positive N (%) | 20 (27.0) | |
| Cytogenetic risk | Standard N (%) | 22 (29.7) |
| High N (%) | 52 (70.3) | |
| Outcome | Remission N ( %) | 51 (68.9) |
| No remission N ( %) | 23 (31.1) | |
| Relapse N (%) | 8 (10.8) | |
N, number; IQR, interquartile range
Bone marrow samples (1 ml EDTA) were collected at two time points; at diagnosis and after induction of chemotherapy. RNA was extracted using QIAamp RNA Blood Mini Kit (Qiagen, Germany), RNA concentration was measured using nanodrop to ensure high RNA quality, and cDNA was synthetized using high capacity cDNA reverse transcription kit (Applied Biosystems, USA).
Quantitative RT-PCR
Real time reverse transcription (RT) polymerase chain reactions were performed for both cortactin and HS1 genes using β2-microglobulin (housekeeping gene) as an internal control. The primer sequences used for q-RT-PCR are as follows: (cortactin forward primer) 5′-GGTGTGCAGACAGACAGACAA-3′,
(cortactin reverse primer)
5′-GTCTTTTTGGGATTCATGCAG-3′; (HS1 forward primer) 5′-CCCAAGAGTCCTCTCTATCCTG-3′, (HS1 reverse primer), 5′-GGTGGCAGAGAGGTGTTCAT-3′;
(β2-microglobulin forward primer),
5′-TCAGGAAATTTGACTTTCCATTC-3′ and
(β2-microglobulin reverse primer)
5′-TTCTGGCCTGGAGGCTATC-3′. Analysis was performed using StepOne Real-time Detection Thermal Cycler, USA, and samples were amplified using these conditions: pre-incubation: 95°C, 10 min; amplification: 40 cycles of 95°C, 10 s; 60°C, 30 s; 72°C, 10 s. Relative gene expression was calculated using the ΔΔCt-method.
Statistical analysis
Data were analyzed using the Statistical Package of Social Science (SPSS) program for Windows (Standard version 24). Kolmogorov-Smirnov test was used as a test of normality, if the significance level is greater than 0.05, then normality is assumed. Student T Test was used to assess the statistical significance of the difference between two study group means. Mann Whitney Test (U test) was used to assess the statistical significance of the difference of a non-parametric variable between two study groups. Chi-Square test was used to examine the relationship between two qualitative variables. Fisher’s exact test: was used to examine the relationship between two qualitative variables when the expected count is less than 5 in more than 20% of cells. Wilcoxon signed rank sum test was used to assess changes in parameters over time. Logistic regression analysis was used for prediction of risk factors, using generalized linear models. Kaplan–Meier test was used for survival analysis and the statistical significance of differences among curves was determined by Log-Rank test. Cox regression analysis of factors potentially related to survival was performed to identify which independent factors might jointly have a significant influence on survival. A p value is significant if <0.05 at confidence interval 95%.
Results
Cortactin and HS1 genes expression in B-ALL versus control
Cortactin and HS1 gene expressions were estimated in newly diagnosed 74 B-ALL patients at diagnosis and after induction chemotherapy as well as in B cells from control subjects. The median cortactin expression before and after therapy was 4.01 and 1.19 respectively compared to a median expression of 0.19 in control group (P <0.001 in both). HS1 expression was measured before and after induction therapy and showed a median of 19.7 and 6.63 respectively compared to 1.16 in control group (P <0.001 in both). Table 2 shows comparison of cortactin and HS1 expression between studied groups. Cortactin and HS1 gene expressions were significantly up regulated in ALL cases before and after treatment when compared to control groups, as well as before when compared to after treatment.
Table 2.
Comparison of the Cortactin and HS1 Genes Expressions in B-ALL Patients before and after Induction Chemotherapy versus Control
| B-cell Control N=76 |
B-ALL N=74 | P 1 | P 2 | P 3 | |||
|---|---|---|---|---|---|---|---|
| At diagnosis Before therapy | After induction chemotherapy | ||||||
| Cortactin expression | Median | 0.19 | 4.01 | 1.19 | <0.001 | <0.001 | <0.001 |
| IQR | 0.09-0.54 | 1.41-6.41 | 0.38-2 | ||||
| HS1 expression | Median | 1.16 | 19.7 | 6.63 | <0.001 | <0.001 | <0.001 |
| IQR | 0.66-2.85 | 14.93-29.86 | 5.03-10.24 | ||||
P 1 , comparison between ALL before treatment and control; P2, comparison between ALL before and after treatment; P3, comparison between ALL after treatment and control.
Impact of the degree of cortactin and HS1 expression at diagnosis on induction remission response
Stratifying patients according to induction remission response showed that B-ALL achieved remission had cortactin gene expression with a median of 4.6 before treatment compared to 1.2 after treatment (P<0.001) and median HS1 gene expression was 19.7 before treatment compared to 6.6 after treatment (P<0.001). While patients who didn’t achieve complete remission had median cortactin gene expression 2.6 before treatment compared to 0.7 after treatment (P<0.001) and HS1 gene expression with a median of 14.9 before treatment compared to 5 after treatment (P<0.001). This finding points out that B-ALL patients with high cortactin and HS1 expression at diagnosis showed low frequency of complete remission after induction chemotherapy as compared to those express high expression (P<0.01 for both) (Table 3).
Table 3.
Cortactin and HS1 Gene Expressions at Diagnosis in B-ALL Patients Aachieved Complete Remission Vs Those Resistant for Induction Chemotherapy
| Induction of remission response | Cortactin expression At B-ALL diagnosis Media (IQR) |
HS1 expression B-ALL diagnosis Median (IQR) |
|---|---|---|
| Yes | 14.9 (13-34.3) | 2.6 (1.9-9.2) |
| No | 19.7 (16-29.9) | 4.6 (1.4-6.1) |
| P value | <0.001 | <0.001 |
Relation between degree of Cortactin and HS1 genes expression levels and different clinicopathological parameters
High cortactin expression was significantly associated with lower Hb level (median=8, P=002), lower RBCs count (median =3, P= 0.015), lower platelet count (median=23000, P=0.025), higher BM blasts percentage (median 85%, P=0.015), frequency of positive Philadelphia chromosome (n=37.8%, P=0.036), cytogenetic risk (P=0.042), and relapse rate (n=18.9%, P=0.025) (Table 4). High HS1 expression was only significantly associated with higher relapse rate (n= 21.9%, P=0.018).
Table 4.
Comparison of Studied Parameters between Low and High Cortactin Levels at Diagnosis in ALL Cases
| Low cortactin N=37 | High cortactin N=37 | p | |
|---|---|---|---|
| Age (years) | 38.7 ±12.5 | 38.1±11.3 | 0.888 |
| M±SD | |||
| Males N(%) | 16 (43.2) | 11(29.7%) | 0.227 |
| Females N(%) | 21 (56.8%) | 26 (70.3%) | |
| TLC (X109/L) | 28.3 (5.8-66.4) | 23 (5.3-81) | 0.301 |
| Median(IQR) | |||
| Hb (g/dL) Median (IQR) | 9 (8-10.2) | 8 (7.3-8.95) | 0.002 |
| RBCS (X1012//L) Median (IQR) | 3.3(2.9-3.9) | 3(2.6-3.5) | 0.015 |
| Platelets (X109/L) Median (IQR) | 46(19.9-128.6) | 23(14.3-76) | 0.025 |
| BM blasts (%) Median (IQR) | 80 (65.5-80) | 85(70-90) | 0.015 |
| LDH (U/L) Median (IQR) | 607 (459.5-930) | 789 (404-1100.5) | 0.996 |
| Philadelphia positive N (%) | 6 (16.2%) | 14( 37.8%) | 0.036 |
| Standard cytogenetic risk N(%) | 30 (81.1%) | 22 (59.5%) | 0.042 |
| High cytogenetic risk N(%) | 7 (18.9%) | 15 (40.5%) | |
| Remission N (%) | 24 (64.9%) | 10 (27.0%) | 0.0451 |
| Non remission N (%) | 13 (35.1%) | 27 (73.0%) | |
| Relapse N (%) | 1 (2.7%) | 7 (18.9%) | 0.025 |
| HS1 expression Median (IQR | 19.7 (14.4-27.9) | 24.3 (14.9-42.2) | 0.192 |
Correlation between Cortactin and HS1 expression in B-ALL
Correlation studies revealed that there is significant positive correlation between cortactin and HS1 expression ((R=0.629, p<0.001) (Figure 1).
Figure 1.
Correlation of Cortactin with HS1 Gene Expression in All Studied Cases. A significant positive correlation between the two parameters (R=0.629, p<0.001).
Survival analysis of B-ALL patients
Using Kaplan Meier curve to assess the Impact of Cortactin and HS1 gene expression reveals that B-ALL patients with high cortactin expression and HS1 gene expression had shorter OS as compared to those with low expression (P<0.01 for both) (Figure 2a, 2b).
Figure 2a.
Kaplan-Meier Plot of the OS Probability in the High and Low Cortactin Groups
Figure 2b.
Kaplan-Meier Plot of the OS Probability in the High and Low HS1 Groups
Cox proportional hazard of different clinicopathologic parameters on B-ALL patients outcome
Cox regression analysis was conducted for assessment the impact of studied parameters on B-ALL patients outcome, using age, gender, blasts percentage, risk Philadelphia chromosome, cortactin and HS1 genes expression as covariates in univariate analysis. The significant parameters in univariate analysis were evaluated in multivariate analysis which revealed that High LDH, cortactin and HS1 gene expression were considered as high-risk factors associated with high probability of deaths (P= 0.041, OR= 1.092, CI [1.002-1.046]; and P=0.005, O =1.071, CI [1.013-1,041], respectively) (Table 5).
Table 5.
Cox Regression Analysis for Prediction of OS in B-ALL Patients
| Univariable | Multivariable | |||||||
|---|---|---|---|---|---|---|---|---|
| p | HR | 95% CI | p | HR | 95% CI | |||
| Age | 0.02 | 1.038 | 1.006 | 1.071 | ||||
| Gender | 0.211 | 0.448 | 0.127 | 1.578 | ||||
| BM blasts% | 0.982 | 0.998 | 0.956 | 1.044 | ||||
| LDH (U/L) | 0.014 | 1.012 | 1.003 | 1.031 | 0.005 | 1.022 | 1.004 | 1.051 |
| Cytogenetic risk | 0.168 | 2.848 | 0.643 | 12.621 | ||||
| Philadelphia | 0.936 | 1.048 | 0.336 | 3.27 | ||||
| Cortactin expression | 0.009 | 1.047 | 1.012 | 1.083 | 0.041 | 1.046 | 1.002 | 1.092 |
| HS1 expression | <0.001 | 1.051 | 1.024 | 1.078 | 0.005 | 1.041 | 1.013 | 1.071 |
HR, hazard ratio; CI, confidence interval
Cox proportional hazard of different clinicopathologic parameters on B-ALL patients’ relapse
Logistic regression analysis was conducted in order to determine the high-risk factors for B-ALL relapse; using age, gender, bone marrow blasts percentage, Philadelphia chromosome, cortactin and HS1 gene expression as covariates in univariate analysis. The significant parameters in univariate analysis were evaluated in multivariate analysis which revealed that high cortactin and HS1 gene expression were considered as significant risk predictors of B-ALL relapse (P=0.005, OR=1.428, CI [1.175-1.783]; P=0.003, OR= 1.078, CI [1.025-1.134]; respectively) and high probability of deaths (P= 0.041, OR = 1.092, CI [1.002-1.046]; and P=0.005, OR= 1.071, CI [1.013-1,041]; respectively) (Table 6) (Figure3a, 3b).
Table 6.
Cox Regression Analysis for Prediction or Relapse in ALL Cases
| No relapse | Relapse | Univariable | Multivariable | ||||||
|---|---|---|---|---|---|---|---|---|---|
| N=43 | N=8 | p | OR | 95% CI | p | OR | 95% CI | ||
| Age | Mean ±SD | 33.6 ±11.1 | 36.4 ±10.2 | 0.166 | 1.023 | 0.991- 1.056 | |||
| Males | N | 26 | 7 | 1 | |||||
| % | 60.50% | 87.50% | |||||||
| Females | N | 17 | 1 | 0.142 | 0.452 | 0.157- | |||
| % | 39.50% | 12.50% | 1.304 | ||||||
| BM blasts% | Median | 80 | 80 | 0.514 | 0.988 | 0.952-1.025 | |||
| IQR | 70-90 | 70-88 | |||||||
| LDH (U/L) | Median | 607 | 402 | 0.339 | 0.999 | 0.998-1.001 | |||
| IQR | 435-930 | 176-977 | |||||||
| Standard cytogenetic risk | N | 17 | 2 | 1 | |||||
| % | 39.50% | 25.00% | |||||||
| High cytogenetic risk | N | 26 | 6 | 0.431 | 1.44 | 0.580-3.575 | |||
| % | 60.50% | 75.00% | |||||||
| Philadelphia negative | N | 34 | 5 | 1 | |||||
| % | 79.10% | 62.50% | |||||||
| Philadelphia positive | N | 9 | 3 | 0.326 | 1.585 | 0.632-3.974 | |||
| % | 20.90% | 37.50% | |||||||
| Cortactin expression | Median | 3 | 10.3 | 0.012 | 1.065 | 1.014-1.119 | 0.005 | 1.428 | 1.175-1.783 |
| IQR | 1.4-5.3 | 5.4-17.3 | |||||||
| HS1 expression | Median | 19.7 | 47.1 | 0.001 | 1.088 | 1.035-1.143 | 0.003 | 1.078 | 1.025-1.134 |
| IQR | 16-27.9 | 25.5-58.7 | |||||||
OR, odds ratio; CI, confidence interval.
Figure 3a.
Comparison of the Cumulative Incidence of Rrelapse (CIR) Curves between the Low and High Cortactin Gene Expressions Groups
Figure 3b.
Comparison of the Cumulative Incidence of Relapse (CIR) Curves between the Low and High HS1 Gene Expression
Discussion
Cortactin the actin-nucleation-promoting factor is virtually expressed on all cell types and is important for cell functions, such as adhesion and migration (Kirkbride et al., 2011). Cortactin has emerged not only as a crucial regulator of actin cytoskeletal dynamics, but also as a key player in aggressive cancers (McGrath and Koleske., 2012).
In the current study high expression of cortactin as well as its homologue HS1 was detected in B-ALL patients at diagnosis and significantly reduced after induction chemotherapy as compared to controls. These findings were in agreement with that reported by Velázquez-Avila et al., (2019), who reported higher expression of both cortactin and HS1 among B-ALL patients. Also; previous report stated that cortactin is strongly overexpressed in leukemic cell lines and primary patient-derived leukemic cells (Yin et al., 2017).
In our study, high cortactin gene expression was significantly associated with lower Hb level, lower RBCs count, lower platelet count and higher BM blasts. Also, high cortactin expression was significantly associated with higher cytogenetic risk as well as high relapse rate. These findings point out for the role of cortactin in blast cells egress from bone marrow into peripheral blood and peripheral tissues which increase tumor burden. Cortactin overexpression is associated with increased metastasis formation and worse outcome in different types of solid tumors, thus highlighting a critical role of cortactin in cancer progression. Mechanistically, this is due to increased invadopodia formation and matrix metalloproteinase secretion (Gattazzo et al., 2012; Yin et al., 2017). Additive report indicated that overexpression of cortactin has been reported in several solid tumors, and increased expression of CTTN, the gene encoding for cortactin, has been associated with aggressive, poor prognosis disease, the investigators noted (Pizzi et al., 2019).
In the present study higher cortactin and HS1 genes expressions were also associated with shorter OS and high frequency of B-ALL relapse. These findings were in parallel to the findings reported by Velázquez-Avila et al., 2109). Moreover; high cortactin expression was reported in B-cell chronic lymphocytic leukemia, and is associated with poor prognosis and increased chemotaxis; and is correlated with treatment failure and relapse (McGrath and Koleske 2012). In addition; high cortactin expression has been proposed as a diagnostic marker for non-Hodgkin B-cell lymphomas (Pizzi et al., 2019). Also; Gattazzo et al., (2012) suggested that cortactin is involved in aggressiveness and spreading of B-CLL cells and that Lyn-cortactin axis could represent an alternative target for the development of new therapeutic strategies.
Using Cox regression analysis model for prediction of OS; In univariate analysis the parameters showed higher risk include high LDH level, high cortactin and HS1 gene expression; while in multivariate analysis high cortactin and HS1 gene expressions were considered as risk predictors of relapse in uni- and multivariable analyses.
In conclusion, high cortactin and/or HS1 expression is associated with a worse outcome for B-ALL patients. These findings suggest that determining cortactin levels at B-ALL diagnosis could be used in risk stratification and optimizing their treatments. Moreover; cortactin might be a potential pharmacologic target to control the metastasis or relapse of B-ALL.
Author Contribution Statement
Study conception and design: Salah Aref, data collection : Tarek Abou Zeid analysis and interpretation of results: Mohamed Sabry and Nada Khaled; draft manuscript preparation: Mohamed Al Agdar and Ahmed Ramez. All authors reviewed the results and approved the final version of the manuscript.
Acknowledgments
The authors acknowledge the patients who participate in this study. Also; we acknowledge technicians in the Mansoura University Oncology Center laboratories.
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