Support of acute lymphoblastic leukemia cells by nonmalignant bone marrow stromal cells

Introduction

Cancer cells have complex interrelationships with nonmalignant cells in their tissue microenvironments. In a variety of cancers, non-malignant cells have been shown to exhibit complex effects on malignant cells with activities that both promote and inhibit cancer cell growth. In addition, the tumor microenvironment has been shown to influence the effect of anticancer drugs on cancer cells, and in many circumstances has been shown to exert some protective effect on cancer cells. Leukemia is a malignancy of bone marrow origin. The bone marrow microenvironment is a complex, highly vascular tissue. Hematopoietic cells in the marrow are derived from hematopoietic stem cells, while nonhematopoietic stromal cells are derived from mesenchymal stem cells (1,2).

Acute lymphoblastic leukemia (ALL) is a cancer derived from lymphoid precursors in the bone marrow, most commonly B cell precursors. Although it is a high grade malignancy that grows rapidly in vivo, primary ALL cells do not grow well in vitro, and spontaneously undergo apoptosis. However, primary ALL cells do survive in vitro when cocultured with nonmalignant bone marrow stromal cells (3,4). Bone marrow stromal cells are nonhematopoietic cells in the bone marrow that are derived from mesenchymal stem cells. Functionally they are defined by their adherence to plastic in standard tissue culture conditions. Phenotypically they are negative for hematopoietic cell markers CD45, CD34, CD14, CD11b, CD79, CD19 and HLA-DR (5). The mechanisms explaining the leukemia cells' stromal dependence are not well understood. Stromal cell-derived chemokines are among the mechanisms studied. Work by a number of groups has shown that the chemokine CXCL12 plays a role in hematopoietic precursor cell homing to and retention in bone marrow (6–9) and can affect ALL cells. There is interest in developing leukemia therapies that target CXCL12.

In the present study we examined the impact of interference of the CXCL12 effect on a panel of recently derived patient-derived xenograft ALLs. While we were able to reproduce results of others that interference with CXCL12 could affect ALL survival, we observed considerable variation in the effect within our panel of patient-derived xenografts. These results led us to more broadly examine gene expression patterns in stromal cells and leukemia cells. We discovered overexpression of pathways related to redox reactions and metabolism. We then discovered that the stromal cells and leukemia cells directly exchange intracellular materials and mitochondria.

Materials and methods

ALL cells

Deidentified primary B lineage ALL cells from adult and pediatric patients were obtained from bone marrow or peripheral blood leukapheresis samples at time of initial diagnosis or relapse. The samples were used under the auspices of an IRB approved protocol. The IRB deemed that individual patient consent was not needed since no personal identifying information was involved and the materials were from residual lab samples that would otherwise have been discarded. All samples were from patients who met NCI criteria for high risk ALL. Limited clinical, genetic and phenotypic data are available because of the deidentification process. All specimens were human CD45 positive, human CD19 positive both before and after expansion in immunodeficient mice. Table I contains information about individual samples.

Table I. Characteristics of ALL cells used in these studies.

Table I.

Characteristics of ALL cells used in these studies.

Name	Tissue	Age	Disease phase	Cytogenetics
ALL A	Blood	Adult	Diagnosis	Unknown
ALL B	Blood	Adult	Diagnosis	Unknown
ALL C	Blood	Pediatric	Diagnosis	Ph +
ALL D	Marrow	Pediatric	Relapse	MLL-AF4
ALL E	Blood	Adult	Relapse	Unknown
ALL F	Blood	Adult	Diagnosis	Unknown
ALL G	Marrow	Pediatric	Relapse	Normal

[i] ALL, acute lymphoblastic leukemia; Ph +, Philadelphia chromosome t(9;22)(q34;q11); MLL-AF4, t(4;11)(q21;q23) involving the MLL and AF4 genes.

Specimens were expanded a single time as patient-derived xenografts in NOD-SCID mice. Only first-generation xenograft samples were used; i.e., leukemias were not serially passaged in mice. At 8–12 weeks of age, mice received 250 cGy total body irradiation. Mice were injected intravenously with 5 × 106 leukemia cells 4 h later. The spleen and bone marrow were harvested after 8–12 weeks. To confirm engraftment of leukemic cells, the cells were examined by flow cytometry with human CD19 and CD45 antibodies. We compared ALL cells before and after xenograft expansion and found no differences in flow phenotype, morphology, stromal dependence and in vitro growth potential.

Established cell lines

SC is a human monocyte/macrophage cell line obtained from ATCC (ATCC CRL-9855). Subsequently, STR profiling (Genetica LabCorp, Burlington, NC, USA) and STR analysis was performed using the ATCC STR database (https://www.atcc.org/en/STR_Database.aspx), which demonstrated that the cell line was derived from U-937, a human histiocytic lymphoma (ATCC CRL-1593.2). Jurkat is a human T lymphoblastic leukemia line. K562 is a human chronic myelogenous leukemia line. Sup T1 is a human T lymphoblastic lymphoma line.

Stromal cells

In order to have consistent and uniform marrow stromal cell source we used a stromal cell line-derived from normal bone marrow immortalized with the human telomerase reverse transcriptase (TERT) gene (10). Unless otherwise specified in the text this is the stromal line used in an experiment. A second immortalized stromal line, HS27 (ATCC CRL-2496), derived from normal bone marrow and immortalized with a retroviral vector containing human papilloma virus E6/E7 genes was also used (11). Short term marrow stromal cultures were frequently used to confirm observations made with the immortalized stromal lines. These primary stromal cell cultures were established by placing 1–3 ml of marrow aspirate in 10 ml RPMI supplemented with 20% FCS, MEM non-essential amino acids 1X, sodium pyruvate 1 mM, 2-mercaptopurine 5.5 µM, penicillin/streptomycin 1X and 1 µM hydrocortisone (R10C+H) in 25 cm2 conventional tissue culture flasks. After 24–48 h nonadherent cells were removed. At first passage (14–21 days) FCS was reduced to 10%. Stromal cells were also generated in a similar manner from de-identified human skin, fat, and placenta obtained under an IRB approved protocol from discarded surgical material. Freshly isolated tissues were minced to 2 mm fragments, placed in culture and handled as above. Primary stromal cells were used within 4 passages. Stromal cells did not express hematopoietic genes PTPRD (CD45), CD34, CD19 or CD79a. All were adherent and expressed COL1A2 (collagen1). The stromal cells used were not mesenchymal stem cells since they did not meet consensus criteria (5) for multipotent mesenchymal stem cells (i.e., ENG positive, THY-1 positive, NT5E positive).

Counting live ALL cells by flow cytometry

A total of 5×103 stromal cells were plated in flat-bottom 96-well plates in R10C+H. Two days later medium was removed and viable ALL cells were added in AIM V medium (Thermo Fisher Scientific, Inc., Waltham, MA, USA). A total of 3×104 leukemia cells were added per well in experiments. Five days later wells were harvested and flow cytometry was performed by 3-color flow cytometry (huCD19-FITC+, huCD45-PE dim+, AAD-, plus 2.5×105 counting beads). To create consistency within each experiment, sample acquisition continued until a fixed number of bead events were collected (this number varied from experiment to experiment but ranged between 2×104 and 3×104). For analysis gating was made on the huCD19+huCD45+ region and the number of AAD-live cells reported.

Vital dye transfer studies

Cells were incubated at 37°C for 30 min with calcein AM 1 µM (BD Pharmingen; BD Biosciences, Franklin Lakes, NJ, USA) as directed by manufacturer. Following extensive washing they were placed in culture. One day later the cells were collected and calcein labeled cells were identified by flow cytometry. To stain mitochondria, cells were incubated per manufacturer's instructions in MitoTracker Red CMXRos 25 nM (Invitrogen; Thermo Fisher Scientific, Inc.). Labeled cells were imaged by fluorescent microscopy. In experiments assessing the need for cell:cell contact, stromal cells were plated on the surface of 12-well tissue culture plates. 0.4 µm membrane cell culture Transwell inserts (Falcon) were then placed in wells, and leukemia cells placed in the Transwell insert.

Stromal cell treatment with siRNA

Stromal cells in 96-flat bottom well plates were reverse transfected with 6 pmol Stealth siRNA (Invitrogen; Thermo Fisher Scientific, Inc.) specific for the target gene or control siRNA, using Lipofectamine RNAiMAX 0.05 µM. Wells were washed 2 days later with RPMI or AIM V and then used in ALL survival assays. Effectiveness of target gene knockdown was measured at 48 h after transfection by quantitative SYBR-Green RT-PCR.

Drug treatment of cultures

Drugs were added to cocultures at the time leukemia cells were added and remained present for the full 5 days of coculture. The concentrations used were: dexamethasone 6 ng/ml, methotrexate 6.25 ng/ml, vincristine 3 ng/ml, 6-mercaptopurine 250 µM, plerixafor 200–400 µM, recombinant human CXCL12 240 ng/ml. Drug interaction was analyzed using the fractional product method in which one compares the predicted magnitude of combined drug treatment with the actual results (12). For example, if drug X reduced the leukemia cell population to 0.75, and drug Y to 0.75, the fractional product prediction for combined treatment would be 0.75×0.75=0.56. If the actual effect of combined treatment was 0.4, drug synergy (as opposed to simple additive effects) might be present.

Gene expression analyses

RNA was prepared from 5×106 cells using Qiagen RNeasy kits (Qiagen, Inc., Valencia, CA, USA). For experiments in which assessment of gene expression changes after stroma cell:leukemia cell occurred, 1.6×106 stromal cells were plated in a 25 cm2 flask and 24 h later 5×106 leukemia cells were plated. Two days later the cells were harvested and purified by flow cytometric sorting. Residual genomic DNA was removed by DNAse treatment and a cDNA library was prepared. Sequencing was performed in the University of Rochester Genomics Core Facility (Rochester, NY, USA). Sequencing was performed using Illumina HiSeq 2500 Sequencer (Illumina Inc., San Diego, CA, USA). Raw reads were demultiplexed using configurebcl2fastq.pl version 1.8.4. Quality filtering and adapter removal were performed using Trimmomatic version 0.32 with the following parameters: ‘SLIDINGWINDOW:4:20 TRAILING:13 LEADING:13 ILLUMINACLIP:adapters.fasta:2:30:10 MINLEN:15’. Processed/cleaned reads were then mapped to the human reference genome (hg19) using SHRiMP version 2.2.3 with the following parameters: ‘-qv-offset 33 -all-contigs’. Gene-level read quantification and differential expression analysis were performed using Cufflinks version 2.0.2 (cuffdiff) with these parameters: ‘-FDR 0.05 -u -b GENOME’ (thus employing a correction for multiple comparisons). For further gene set enrichment analysis only those differential expressed genes with both >0.1 fragments per kilobase per million (FPKM) and a two-fold up or down regulation were considered. Functional annotation clustering of differentially expressed genes was performed using the web-based software of the Gene Ontology Consortium (geneontology.org. PANTHER Overrepresentation test release 20170413, GO Ontology database release 2017-06-29, Homo sapiens reference list, and use of a Bonferroni correction for identification of statistically significant overrepresentation.)

Statistics

Statistical analyses were performed using R statistical language and RStudio. Data from leukemia cell survival assays was found to be normally distributed. In cases in which there were more than two groups, one way analysis of variance was performed; the Tukey post hoc test was applied to determine whether there were significant differences between specific pairs of experimental groups. These P-values (which adjust for multiple comparisons) are reported in the text and figures. For studies of CXCL12 expression and leukemia cell survival data were not normally distributed. Percent survival leukemia on a supporting cell type was first normalized to leukemia survival on our internal standard stromal line, and then log transformed. CXCL12 gene expression was expressed as FPKM, and then divided by HLA-A FKPM (to provide internal control). This normalized expression was then log transformed. A Spearman correlation test was then performed.

Results

Relationship between CXCL12 gene expression and support of ALL cells

Work by a number of groups has shown that the chemokine CXCL12 plays a role in hematopoietic precursor cell homing to and retention in bone marrow (6–9). We assessed CXCL12 gene transcription in 17 stromal cell lines that supported ALL cell survival in coculture and in 7 cell lines derived from hematopoietic cells that poorly support leukemia cell survival in coculture (Table II has details about these cells). We then explored correlation of percent survival of ALL cells with CXCL12 expression (as normalized to HLA-A expression). The Spearman correlation (rho) was 0.542 (P=0.0092) indicating a moderate positive correlation between the two (data not shown).

Table II. Characteristics of cells assessed for capacity to support ALL cells in vitro.

Table II.

Characteristics of cells assessed for capacity to support ALL cells in vitro.

Supports leukemia	Cell type	Cell name
Yes	Marrow-derived primary stroma	p210
Yes	Marrow-derived primary stroma	p235
Yes	Marrow-derived primary stroma	p364
Yes	Marrow-derived primary stroma	p386
Yes	Marrow-derived primary stroma	p395
Yes	Marrow-derived primary stroma	p416
Yes	Marrow-derived primary stroma	p417
Yes	Subclone of hTERT immortalized stroma line	cl_19
Yes	Subclone of hTERT immortalized stroma line	cl_23
Yes	Subclone of hTERT immortalized stroma line	cl_30
Yes	Subclone of hTERT immortalized stroma line	cl_33
Yes	Adipose-derived primary stroma	Adipose
Yes	Skin-derived fibroblastic stroma line	Fibroblast
Yes	hTERT immortalized stroma line	P15
Yes	Placenta-derived primary stroma	Placenta
Yes	Skin-derived primary stroma	Skin
Yes	Skin-derived primary stroma	Skin
No	B ALL	ALL C
No	B ALL	ALL B
No	B ALL	ALL A
No	T acute lymphoblatsic leukemia line	Jurkat
No	Chronic myelogenous leukemia line	K562
No	Monocyte/macrophage cell line	SC
No	Histiocytic lymphoma	U-937
No	T lymphoblast lymphoma	SupT1

[i] ALL, acute lymphoblastic leukemia; hTERT, human telomoerase gene.

Interference with CXCL12 produces a modest reduction in survival of leukemia cells

To assess a causal relationship between stromal cell CXCL12 expression and leukemia cell survival we transfected stromal cells with siRNA specific for CXCL12 or control siRNA. Quantitative RT-PCR studies showed CXCL12 knockdown efficiency was typically in the range of 50–75% (data not shown). Fig. 1 shows a modest (10–25%) reduction of leukemia cell survival due to CXCL12 knockdown.

Figure 1. Knockdown of stromal CXCL12 expression leads to reduced ALL survival in coculture. Stromal cells were transfected with siRNA for CXCL12 or control siRNA. In each panel the left bar is no stroma (n=12), the middle bar is stroma transfected with control siRNA (n=18–24), and the left bar is the siRNA for CXCL12 (n=20–23). Box and whisker plots represent the data. P-values are for comparisons of control siRNA to CXCL12 siRNA. CXCL12, C-X-C motif chemokine ligand 12; ALL, acute lymphoblastic leukemia; siRNA, small interfering RNA.

It is possible that these experiments underestimated the role of CXCL12 because siRNA knockdown was incomplete. CXCL12 interacts with the chemokine receptor CXCR4 on hematopoietic cells. Plerixafor is a small molecule inhibitor of this interaction (13,14). Some studies of plerixafor have shown that it leads hematopoietic cells to mobilize away from stroma, and can increase the antileukemia activity of some drugs. Use of plerixafor would allow us to more fully interfere with CXCL12 effects on leukemia cells. We added plerixafor to the stromal cell-leukemia cell cocultures. We found that plerixafor reduced the survival of 5 of 7 independent ALLs (Fig. 2), but the effect ranged significantly between leukemias (20–80%). Two of the ALLs showed no reduction in survival. In independent experiments we found that nonmalignant hematopoietic bone marrow cells did not exhibit the same degree of dependence on stroma, and that plerixafor did not significantly reduce survival of these normal marrow cells (data not shown).

Figure 2. Effect of plerixafor on survival of ALL cells supported by stromal cells. Each panel represents the number of leukemia cells surviving in wells with no stroma (n=12–18), stroma (n=12–17), or stroma with plerixafor 200 µM (n=12–18). Each panel represents a unique ALL. Box and whisker plots represent the data. P-values are for comparisons of stroma with and without plerixafor. ALL, acute lymphoblastic leukemia; NS, no significant difference.

One possible explanation for the variability in the effect of plerixafor could be differences in expression of receptors for CXCL12 on leukemia cells. We performed flow cytometry for both CXCR4 and CXCR7 (receptors for CXCL12) (15,16) on the ALLs. We found similar levels of both receptors on both plerixafor sensitive and insensitive leukemia cells (Fig. 3).

Figure 3. CXCR4 and CXCR7 expression in ALL cells. Flow cytometry for (A-G) CXCR4 and (H-N) CXCR7. Letter in each histogram identifies the ALL. Forward and side scatter gates were used to identify intact leukemia cells. Shaded histograms are specific antibody while unfilled histograms are isotype control. CXCR, C-X-C chemokine receptor type; ALL, acute lymphoblastic leukemia.

Effect of plerixafor on antileukemia activity of commonly used leukemia drugs

We then explored whether interference of stromal support with plerixafor would affect the antileukemia activity of commonly used chemotherapy drugs (mercaptopurine, methotrexate, dexamethasone and vincristine). Initially we performed dose-response experiments with commonly used ALL chemotherapy drugs. We then performed coculture assays in which we combined plerixafor and conventional chemotherapy drugs. We used concentrations of conventional chemotherapy drugs that were likely to produce modest or minimal cytotoxicity alone because that would allow us to detect either additive or synergistic activity with plerixafor. We performed the assays with three unique ALLs, two of which had shown significant sensitivity to plerixafor alone (ALL A and ALL B) and one that had not (ALL C). Fig. 4 shows the results of these studies. In general for ALL A and ALL B the combination of plerixafor and chemotherapy drug produced greater antileukemia effect than plerixafor or chemotherapy drug alone. We did not see similar enhanced toxicity with ALL C.

Figure 4. Effect of plerixafor on antileukemia activity of conventional chemotherapy drugs. Each panel represents a different chemotherapy drug with or without plerixafor. For each drug several ALLs were studied (ALLs A, B and C). Box and whisker plots represent the data. Bars represent live the average number of live ALL cells normalized to ‘no drug’. Error bars represent 95 percentile confidence intervals of the mean. From left to right the bars represent no drug (black, n=8–12), plerixafor alone (dark gray, n=8–12), chemotherapy drug alone (light gray, n=8–12), or the combination of both (white, n=8–12). T tests were performed comparing ‘drug alone’ to ‘both drug and plerixafor’. *P<0.05 vs. drug alone. NS, significant; ALL, acute lymphoblastic leukemia.

We analyzed the data for ALL A and B (in which we consistently saw enhanced chemotherapy drug activity in the presence of plerixafor) to determine if the effects were additive or synergistic. For mercaptopurine and for methotrexate the observed effect of combined treatment with plerixafor was greater than the fractional product prediction which suggested that synergistic interactions between the drugs were occurring (data not shown).

Recombinant CXCL12 cannot substitute for stromal cell support of leukemia cells

The modest effects we saw with CXCL12 blockade suggested that the mechanisms of stromal cell support were multifactorial. To test this we performed three experiments with three different leukemias in which recombinant CXCL12 was present in the culture medium. For two of the leukemias CXCL12 in the presence of stroma increased the number of surviving leukemia cells. However, in the absence of stroma CXCL12 did not produce any improvement of leukemia cell survival (Fig. 5).

Figure 5. CXCL12 in the absence of stromal cells does not prevent leukemia cell death. Recombinant CXCL12 was added to microwells with ALL cells in the presence (stroma + C) or absence (no stroma + C) of stroma. Controls included wells without stroma or CXCL12 (‘no stroma’) or stroma without CXCL12 (stroma). Three unique ALL's were used. A total of 13–18 replicates per condition were used. Box and whiskers plots are presented. P-values are from t tests. NS, not significant; ALL, acute lymphoblastic leukemia; CXCL12, C-X-C motif chemokine ligand 12.

Gene set enrichment analysis

The modest impact of interfering with CXCL12 is consistent with the hypothesis that the mechanisms of stromal support for leukemia involve many genes that contribute to the overall effect. To gain some insight into this we performed gene set enrichment analysis. In the first analysis we compared gene expression profiles between cells that efficiently supported leukemia cell survival and those cells that did not support leukemia cells survival (see Table II for the list of the cells in these groups). Within the set of genes overrepresented among cells that support leukemia we observed several related molecular functions (Table III). Not surprisingly we observed a number of functions related to extracellular matrix. More interestingly we saw enrichment of growth factor related genes including platelet-derived growth factor and insulin-like growth factor. We also unexpectedly observed enrichment of molecular functions related to redox and energy metabolism.

Table III. Gene set enrichment analysis.

Table III.

Gene set enrichment analysis.

A, Analysis of genes differentially expressed in stromal cells compared to cells that do not support ALL
Stromal cells that support leukemia gene enrichment	Percentage of genes involved	Multiple comparison adjusted p-value
Extracellular matrix	14	5.10×10−25
Cell surface	11	2.60×10−09
Extracellular membrane bound organelle	27	1.30×10−10
Molecular function
Growth factor binding	6	5.20×10−12
PDGF binding	2	1.60×10−06
Receptor binding	15	2.60×10−06
Biological process
Extracellular matrix organization	14	7.70×10−25
Biological adhesion	18	5.30×10−17
Regulation of cell death	14	6.10×10−04
B, Analysis of genes differentially expressed in ALL cells after contact with stromal cells
ALL leukemia cell genes changed by contact with stroma gene enrichment	Percentage of genes involved	Multiple comparison adjusted p-value
Cellular components
Extracellular region	35	1.60×10−12
Extracellular vesicle	28	3.70×10−16
Extracellular membrane bound organelle	27	3.70×10−16
Molecular function
Protein binding	63	2.30×10−11
Purine nucleotide binding	16	3.10×10−05
Small molecule binding	21	9.20×10−06
Biological process
Negative regulation of biological process	36	1.40×10−14
Negative regulation of apoptotic process	9	3.30×10−05
Cellular response to cytokine stimulus	7	3.40×10−05
C, Analysis of genes differentially expressed in stroma cells after contact with ALL cells
Stromal genes changed by contact with ALL leukemia gene enrichment	Percentage of genes involved	Multiple comparison adjusted p-value
Cellular components
Extracellular region	31	3.30×10−09
Extracellular vesicle	23	1.30×10−06
Extracellular organelle	23	1.30×10−06
Molecular function
Oxidoreductases	4	1.30×10−04
NAD/NADP/alcohol metabolism	2	1.30×10−04
Daunorubicin metabolism	1	1.30×10−02
Biological process
Interferon signaling	5	5.70×10−19
Regulation of cell proliferation	16	2.70×10−07
Primary alcohol metabolic process	3	5.20×10−08

[i] ALL, acute lymphoblastic leukemia.

We performed a second analysis in which we compared gene expression profiles before and after ALL A leukemia cells physically interacted with stromal cells. After contact with leukemia cells we observed 373 differentially expressed genes in stromal cells. Genes related to redox reactions and energy metabolism were prominently overrepresented, as were genes related to growth factor and glycosaminoglycan binding (Table III). After contact with stromal cells we observed 643 genes differentially expressed in the ALL A leukemia cells. Again we saw enrichment of molecular functions related to redox, to interactions with the extracellular matrix, and to growth factor binding. We also saw overrepresentation of genes related to TRAIL binding (Table III).

Leukemia cells and stroma cells exchange intracellular materials

The unexpected prominence of genes related to redox reactions and energy metabolism in both stromal and leukemia cells, coupled with our earlier observation that direct cell-cell contact was essential for stromal support of leukemia cells, suggested the possibility that the cells may be exchanging intracellular materials related to or affecting metabolism. To test this hypothesis we labeled cells with calcein AM which is a cell permeant dye of molecular weight <1000 Daltons that in living cells is converted to a fluorescent moiety. In these studies we used the HS27 immortalized stromal cell line or primary bone marrow stromal cells. We examined five of the leukemias (ALL A, ALL B, ALL C, ALL F and ALL G). We then incubated either unlabeled leukemia cells with labeled stromal cells, or unlabeled stromal cells with labeled leukemia cells. 24 h later we performed flow cytometry to detect intracellular fluorescent calcein. Representative results are presented in Fig. 6. We observed transfer of calcein from leukemia cells to stromal cells (Fig. 6D), and also observed transfer of label from stromal cells to leukemia cells (Fig. 6B). We repeated these experiments using Transwell barriers in which leukemia cells and stromal cells were in the same well but were unable to establish cell:cell contact. When stromal cells and leukemia cells could were not in physical contact we did not see transfer of calcein (Fig. 6A and 6C).

Figure 6. Intercellular transfer of calcien between stromal cells and leukemia cells requires cell-cell contact. Flow cytometry was performed after 24 h of coculture of stromal cells and leukemia cells. (A and B) Primary bone marrow stromal cells were labeled with calcien. Unlabeled ALL F leukemia cells were added to stromal cultures (A) with a Transwell or (B) without a Transwell. (A and B) Live leukemia cells were identified by scatter characteristics and exclusion of AAD. (C and D) ALL A leukemia cell were labeled while HS27 stromal cells were unlabeled. (C) Transwell separated cells. (D) No Transwell was used and leukemia and stromal cells were in direct contact. (C and D) Live stromal cells were identified by scatter characteristics and exclusion of AAD. ALL, acute lymphoblastic leukemia; AAD, actinomycin D; CD45, cluster of differentiation 45.

Leukemia cells and stroma cell exchange mitochondria

Mitochondria play critical roles in cellular energy metabolism. Since we had observed that genes related to energy metabolism and redox reactions were associated with stromal cell support of leukemia, and that cell-cell contact was critical for leukemia cell survival, we hypothesized that mitochondria might play a role. To assess this we treated either stromal cells or leukemia cells (ALL B or ALL F) with the vital dye MitoTracker Red which accumulates in active mitochondria. Labeled cells were added to unlabeled cells, and then examined by fluorescence microscopy the next day. We observed transfer of mitochondria from labeled leukemia cells to unlabeled stromal cell; we also observed transfer of mitochondria from labeled stromal cells to unlabeled leukemia cells (Fig. 7). Separation of cells by a Transwell prevented mitochondrial transfer (data not shown).

Figure 7. Transfer of labeled mitochondria between leukemia and stromal cells after 24 h of coculture. Fluorescence confocal microscopy (magnification, ×100) was used to examine mitochondria stained with MitoTracker Red CMXRos. The leukemia cells were ALL F, and the stromal cells were the hTERT immortalized GFP+ stromal cells. Top panels: Leukemia cells imaged by merged brightfield and red fields. Top left: Leukemia cells which had been in wells for 24 h with stained stromal cells but direct cell contact was prevented by Transwell. Top middle: Leukemia cells after direct 24-h contact with stained stroma. Top right: Leukemia cells after 24-hour contact with unstained stroma. Bottom panels: Green fluorescent protein-expressing stromal cells imaged by merged green and red fields. Bottom left: Stromal cells after coculture with stained leukemia cells by separated by Transwells. Bottom middle: Stromal cells after direct contact with stained leukemia cells. Bottom right: Stromal cells after direct contact with unstained leukemia cells. ALL, acute lymphoblastic leukemia; hTERT, human telomoerase gene.

Discussion

Most cancers are mutationally diverse and the effort to develop leukemia pathway-specific or leukemia mutation-specific may lead to potent drugs that are active against only a fraction of leukemias. Mutationally diverse leukemias appear to share a common dependence on nonmalignant stroma. In principle, agents directed against common mechanisms of microenvironmental support might exhibit activity against mutationally diverse leukemias. Stromal cell-derived CXCL12 has been identified as one potential mechanism. Our study critically assessed the potential utility of targeting CXCL12 in a panel of recently derived patient-derived ALL xenografts in vitro. Our observations confirm observations by others that CXCL12 may play a role in keeping ALL cells alive (17,18). However, our findings extend these observations by showing that the effect was not universal in ALL as 2 of the 7 leukemias were unaffected by plerixafor. Moreover, our observations show that heterogeneity of the effect was not closely associated with leukemia cell surface expression of either CXCR4 or CXCR7, another receptor for CXCL12 (15,16).

We assessed the potential interaction of CXCL12 blockade by plerixafor with drugs commonly used in the treatment of ALL. When used with leukemias more sensitive to plerixafor alone (e.g., ALL A and ALL B) we saw synergistic antileukemia effects for most conventional drugs with plerixafor. One should note that the conventional drugs (mercaptopurine, methotrexate, dexamethasone and vincristine) have different antileukemia mechanisms, but all ultimately trigger apoptosis in damaged cells. This suggests the hypothesis that the plerixafor interference with CXCL12 mediated stromal support of leukemia may lower the apoptotic threshold for drug-damaged cells. Our results confirm the observations of several other groups that CXCR4 blockade can enhance the antileukemia activity of conventional chemotherapy (17,19–23). Our results extend these observations by demonstrating that the effect of plerixafor may be a synergistic effect with conventional chemotherapy. A recent phase I trial of plerixafor in combination with cytarabine and etoposide reported biological responses but modest clinical responses in a heavily pretreated group of patients with ALL, acute myelogenous leukemia or myelodysplastic syndrome (24).

The mechanisms of CXCL12 on hematopoietic or leukemia cell are not fully elucidated. CXCL12 (also known as SDF1, stromal cell-derived factor 1) has been extensively investigated and is related to many cellular functions related to development, immune responses and tumor growth and metastasis. In hematology it is best known as a factor that contributes to angiogenesis and regulates hematopoiesis and hematopoietic progenitor cell homing in the marrow (25–27). One theme of these reports on the mechanism is that CXL12 plays a role in the hematopoietic cell homing and efficient binding of hematopoietic cells to stroma through adhesion molecules (6–9).

One model of stromal cell-leukemia cell microenvironmental interaction is that stromal cells present to leukemia cells ligands or growth factors (such as CXCL12) on the cell surface or in the intracellular region. The modest effect we saw with plerixafor plus the biological themes that emerged from the gene expression analyses led us to step back from this model. To our surprise we observed changes in genes related to energy metabolism and redox status, processes that are intracellular. This led us to broaden the hypothesis that stromal cells provided metabolic support to leukemia cells and that this metabolic support contributed to leukemia cell survival. Central to this hypothesis is the need to demonstrate some means by which stromal cells and leukemia cells can exchange metabolites. Our experiments in which we observed bidirectional transfer of calcien between stromal cells and leukemia cells established that this is possible.

Given the prominence of pathways related to energy metabolism and redox reactions in the gene set enrichment analyses we also hypothesized that intercellular mitochondria exchange may be involved. Intercellular transport of organelles between cells though tunneling nanotubes was described >10 years ago (28). Exchange of functioning mitochondria and improved aerobic respiration in recipient cells has also been observed (29). Exchange of mitochondria between malignant cells and nonmalignant cells has also been observed (30–34). Our observation of bidirectional transfer between nonmalignant stromal cells and ALL cells is consistent with these observations in other systems.

There are limitations in this approach to dissecting the mechanisms by which nonmalignant stromal cells provide support to ALL cells. The first is the simplicity of our coculture system. In the living marrow environment there are many types of cells interacting including a variety of cells derived from mesenchymal stem cells, cells derived from normal hematopoietic stem cells and leukemia cells. Our in vitro model is very simple and does not fully recreate the in vivo microenvironment. The second is that the stromal cells and leukemia cells are from different humans. It is possible there are polymorphisms in a number of functions that may obscure critical interdependencies. The third is the lack of knowledge of the genetic abnormalities in the ALLs studied. If one wished to apply this or a similar system to define novel therapeutic targets, such knowledge would be very helpful in defining which ALL's might be successfully targeted.

Acknowledgements

Not applicable.

Funding

The present study was supported by grants from the St. Baldrick's Foundation (Monrovia, CA, USA; to CAM) and Alex's Lemonade Stand Foundation for Childhood Cancer (Wynnewood, PA, USA; to CAM).

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

SU designed and performed experiments, interpreted data and wrote an initial draft of the manuscript. US, OT and LN designed, performed and interpreted experiments. JCS assisted with data interpretation and manuscript editing. CAM was responsible for the overall project, designed experiments, interpreted data and wrote the final version of the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The Research Subjects Review Board of the University of Rochester approved the use of the human tissues in the present study (RSRB00046358, approval dates 2/28/2013 to present). The University Committee on Animal Resources approved the use of mice used in these studies (UCAR 102081/UCAR-2003-237E, approval dates 2003 to present).

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Glossary

Abbreviations

Abbreviations:

References