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Breast Cancer Research : BCR logoLink to Breast Cancer Research : BCR
. 2013 Sep 10;15(5):R78. doi: 10.1186/bcr3472

Metabolic interaction between cancer cells and stromal cells according to breast cancer molecular subtype

Junjeong Choi 1, Do Hee Kim 2, Woo Hee Jung 2, Ja Seung Koo 2,
PMCID: PMC3979011  PMID: 24020991

Abstract

Introduction

The aim of this study was to investigate the differential expression of markers related to metabolic, mitochondrial and autophagy status in different molecular subtypes of breast cancer.

Methods

Using tissue microarray sections generated from 740 cases of breast cancer, we performed immunohistochemical staining for Glut-1, CAIX, MCT4, ATP synthase, glutaminase, BNIP3, Beclin-1, LC3A, LC3B and p62. Based on the immunohistochemical expression of estrogen receptor (ER), progesterone (PR), HER2, and Ki-67 labeling index, the cases were classified into luminal A, luminal B, HER2 and triple-negative breast cancer (TNBC). We further classified metabolic phenotypes of tumors according to glycolytic status by assessing Glut-1 and CAIX expression as follows: Warburg type: tumor (glycolysis type), stroma (nonglycolysis type); reverse Warburg type: tumor (nonglycolysis type), stroma (glycolysis type); mixed type: tumor (glycolysis type), stroma (glycolysis type); and null type: tumor (nonglycolysis type), stroma (nonglycolysis type).

Results

Expression of Glut-1, MCT4 and LC3A was highest in TNBC and lowest in luminal A type (P < 0.001). Tumors were classified into 298 Warburg type (40.3%), 54 reverse Warburg type (7.3%), 62 mixed type (8.4%) and 326 null type (44.0%). The mixed type had a higher histologic grade, ER negativity, PR negativity and Ki-67 index, whereas the null type showed lower histologic grade, ER positivity, PR positivity and Ki-67 index (P < 0.001). TNBC constituted the major portion of Warburg and mixed types, and luminal A consisted mainly of reverse Warburg and null types (P < 0.001).

Conclusion

Breast cancer is heterogeneous in its metabolic status, and therefore it can be classified into various metabolic phenotypes. Specifically, the Warburg and mixed types had strong associations with TNBC, whereas reverse the Warburg and null types had associations with the luminal type, suggesting a correlation between metabolic phenotype and the biology of breast cancer.

Introduction

The metabolism of malignant tumors is generally explained by the Warburg effect theory, which describes the metabolic shift from mitochondrial oxidative phosphorylation (OXPHOS) to glycolysis in tumors [1]. Breast cancer is known to be heterogeneous, and the interaction between tumor cells and adjacent stroma is expected to have significant roles in tumor growth and progression. This kind of complex interaction may also exist in the metabolic processes of the tumor. Previous studies suggest a unique metabolic interaction between tumor cells and the stroma of breast cancer, known as the reverse Warburg effect theory[2-5]. According to this theory, reactive oxygen species (ROS), such as nitric oxide (NO), generated by tumor cells bring oxidative stress to the stromal cells, leading to mitochondrial dysfunction, autophagy (mitophagy) and increased aerobic glycolysis through hypoxia-inducible factor 1α (HIF-1α) and nuclear factor κB (NF-κB). Lactate generated by stromal cell glycolysis enters tumor cells and promotes tumor cell growth and survival through efficient generation of ATP by OXPHOS in the mitochondria. Cancer-associated fibroblasts (CAFs), stromal cells with loss of caveolin-1 expression, have been implicated in this interaction in breast cancer because loss of caveolin-1 results from increased proteolysis by autophagy [3,5-7]. In addition to the reverse Warburg effect theory, it has been reported that certain types of tumor cells generate ATP through glycolysis as well as OXPHOS, which suggests various features of tumor metabolism [8,9]. Proteins involved in metabolism, mitochondrial function and autophagy may be differentially expressed in both tumor and stromal cells according to the aforementioned theories. These differences are summarized in Table  1.

Table 1.

Comparison of metabolism type, mitochondrial status and autophagy status between the Warburg effect theory and reverse Warburg effect theory a

 
Warburg effect theory
Reverse Warburg effect theory
  Cancer cell Cancer cell Stromal cell
Metabolism
Glycolysis
OXPHOS
Glycolysis
Mitochondrial status
Dysfunctional
Functional
Dysfunctional
Autophagy status Not included Not activated Activated

aOXPHOS, oxidative phosphorylation.

Because breast cancer is heterogeneous with respect to clinical, histopathological and molecular features, several subclassifications have been investigated to stratify tumors with similar characteristics. Gene expression profiles have enabled molecular classification of tumors into luminal A, luminal B, HER2, normal breast-like and basal-like types [10-12]. Studies have also revealed differences in histological and clinical manifestation between different molecular subtypes, such as therapeutic response and prognosis. We hypothesized that the metabolic interaction between tumor cells and stroma may differ according to the molecular subtypes of breast cancer. Because there are limited studies regarding this question, the aim of our present study was designed to investigate the differential expression of markers for metabolic, mitochondrial and autophagy status in different molecular subtypes of breast cancer.

Methods

Patient selection

Patients diagnosed with invasive breast cancer treated by surgical resection during the period from January 2002 to December 2006 were included in this study. Patients who received preoperative neoadjuvant chemotherapy or hormonal treatment were excluded. This study was approved by the Institutional Review Board (IRB) of Yonsei University Severance Hospital. The IRB exempted the informed consent from patients. A breast pathologist (JSK) retrospectively reviewed the histology of all cases using hematoxylin and eosin (H&E)-stained slides. The histological grade was assessed using the Nottingham grading system [13]. Clinicopathologic parameters evaluated in each case included patient age at initial diagnosis, lymph node metastasis, tumor recurrence, distant metastasis and patient survival.

Tissue microarray

On H&E-stained slides of tumors, a representative area was selected and the corresponding spot was marked on the surface of the paraffin block. Using a biopsy needle, the selected area was punched out and a 3-mm tissue core was placed into a 6 × 5 recipient block. Tissue from the invasive tumor was then extracted. More than two tissue cores were extracted to minimize extraction bias. Each tissue core was assigned a unique tissue microarray (TMA) location number that was linked to a database containing other clinicopathologic data.

Immunohistochemistry

The antibodies used for immunohistochemistry (IHC) in this study are shown in Table  2. Formalin-fixed, paraffin-embedded (FFPE) tissue sections from the TMA were prepared for IHC. Briefly, 5-μm-thick sections were obtained using a microtome, transferred into adhesive slides and dried at 62°C for 30 min. After incubation with primary antibodies, immunodetection was performed with biotinylated anti-mouse immunoglobulin, followed by peroxidase-labeled streptavidin using a labeled streptavidin biotin kit with 3,3′-diaminobenzidine chromogen as the substrate. The primary antibody incubation step was omitted in the negative control. A positive control was included for each experiment: glucose transporter 1 (Glut-1): esophageal carcinoma; carbonic anhydrase IX (CAIX): renal carcinoma; monocarboxylate transporter 4 (MCT4): BCL2/adenovirus E1B 19-kDa interacting protein 3 (BNIP3), kidney tissue; Beclin-1: breast tissue; microtubule-associated protein 1 light chain 3α (LC3A): brain tissue; microtubule-associated protein 1 light chain 3β (LC3B): brain tissue, p62: spleen tissue; ATP synthase: heart tissue; and glutaminase: liver tissue. Slides were counterstained with Harris hematoxylin.

Table 2.

Source, clone and dilution of antibodies used in this study a

Antibody Clone Dilution Company
Molecular subtype-related
 
 
 
 ER
SP1
1:100
Thermo Scientific, Waltham, MA, USA
 PR
PgR
1:50
Dako Denmark AS, Glostrup, Denmark
 HER2
Polyclonal
1:1,500
Dako Denmark AS, Glostrup, Denmark
 Ki-67
MIB-1
1:150
Dako Denmark AS, Glostrup, Denmark
Glycolysis-related
 
 
 
 Glut-1
SPM498
1:200
Abcam, Cambridge, UK
 CAIX
Polyclonal
1:100
Abcam, Cambridge, UK
 MCT4
Polyclonal
1:100
Santa Cruz Biotechnology, Santa Cruz, CA, USA
Mitochondrial status-related
 
 
 
 BNIP3
Ana40
1:100
Abcam, Cambridge, UK
Mitochondrial metabolism-related
 
 
 
 ATP synthase
15H4C4
1:100
Abcam, Cambridge, UK
 Glutaminase
Polyclonal
1:100
Abcam, Cambridge, UK
Autophagy-related
 
 
 
 Beclin-1
Polyclonal
1:100
Abcam, Cambridge, UK
 LC3A
EP1528Y
1:100
Abcam, Cambridge, UK
 LC3B
Polyclonal
1:100
Abcam, Cambridge, UK
 p62 SQSTM1 1:100 Abcam, Cambridge, UK

aBNIP3, BCL2/adenovirus E1B 19-kDa interacting protein 3; CAIX, carbonic anhydrase IX; ER, estrogen receptor; Glut-1, glucose transporter 1; LC3A, microtubule-associated protein 1 light chain 3α; LC3B, microtubule-associated protein 1 light chain 3β; MCT4, monocarboxylate transporter 4; PR, progesterone receptor.

Interpretation of immunohistochemical staining

All immunohistochemical markers were assessed by light microscopy. Pathologic parameters such as ER, PR and HER2 expression were obtained from each patient’s pathologic report. A cutoff value of 1% or more positively stained nuclei was used to define ER and PR positivity [14]. HER2 staining was analyzed according to the American Society of Clinical Oncology (ASCO)/College of American Pathologists (CAP) guidelines using the following categories: 0 = no immunostaining; 1+ = weak, incomplete membranous staining, less than 10% of tumor cells; 2+ = complete membranous staining, either uniform or weak in at least 10% of tumor cells; and 3+ = uniform intense membranous staining in at least 30% of tumor cells [15]. HER2 immunostaining was considered positive when strong (3+) membranous staining was observed, whereas cases with 0 to 1+ were regarded as negative. Cases showing 2+ HER2 expression were evaluated for HER2 amplification by fluorescence in situ hybridization (FISH).

Glut-1, CAIX, BNIP3, MCT4, Beclin-1, LC3A, LC3B and p62 immunohistochemical staining was evaluated on the basis of the proportion of stained cells and immunostaining intensity. The proportion of stained cells was graded 0 (negative), 1 (less than 30% positive) or 2 (more than 30% positive). Immunostaining intensity was graded as 0 (negative), 1 (weak), 2 (moderate) or 3 (strong). The scores for the proportion of stained cells and staining intensity were multiplied to provide a total score: negative (0 or 1) or positive (2 through 6). Ki-67 labeling indices (LIs) were scored by counting the number of positively stained nuclei and expressed as a percentage of total tumor cells.

Fluorescence in situ hybridization analysis

Before FISH analysis, invasive tumors were examined on H&E-stained slides. FISH was subsequently performed on the confirmed tumor. FISH was performed using the PathVysion HER-2 DNA Probe Kit (Abbott Molecular, Abbott Park, IL, USA) according to the manufacturer’s instructions. HER2 gene copy number on the slides was evaluated using an epifluorescence microscope (Olympus, Tokyo, Japan). At least 60 tumor cell nuclei in three separate regions were investigated for HER2 and chromosome 17 signals. HER2 gene amplification was determined according to the ASCO/CAP guidelines [15]. An absolute HER2 gene copy number lower than 4 or a HER2 gene/chromosome 17 (chr17) copy number ratio (HER2/chr17 ratio) less than 1.8 was considered HER2-negative. An absolute HER2 copy number between 4 and 6 or a HER2/chr17 ratio between 1.8 and 2.2 was considered HER2-equivocal. An absolute HER2 copy number greater than 6 or a HER2/chr17 ratio higher than 2.2 was considered HER2-positive.

Tumor phenotype classification

In this study, we classified breast cancer phenotypes according to the IHC results for ER, PR, HER2 and Ki-67 LI. FISH results for HER2 were as follows [16]: luminal A type: ER- and/or PR-positive, HER2-negative Ki-67 LI less than 14%; luminal B type: (HER2-negative) ER- and/or PR-positive, HER2-negative and Ki-67 LI greater than or equal to 14% and (HER2-positive) ER- and/or PR-positive and HER2 overexpressed and/or amplified; HER2 type: ER- and PR-negative and HER2 overexpressed and/or amplified; TNBC type: ER-, PR- and HER2-negative.

Classification of tumor metabolic subtypes

We also classified cases based on the results of immunohistochemical staining for metabolism-related proteins as follows: glycolysis type: Glut-1- and/or CAIX-positive; nonglycolysis type: Glut-1- and CAIX-negative; dysfunctional mitochondrial type: BNIP3-positive [17,18]; functional mitochondrial type: BNIP3-negative; activated autophagy type: positive for two or more markers from among Beclin-1, LC3A, LC3B and p62; and nonactivated autophagy type: positive for less than two markers from among Beclin-1, LC3A, LC3B and p62. We further classified the metabolic phenotypes of breast cancer as follows: Warburg type: tumor (glycolysis type), stroma (nonglycolysis type); reverse Warburg type: tumor (nonglycolysis type), stroma (glycolysis type); mixed type: tumor (glycolysis type), stroma (glycolysis); and null type: tumor (nonglycolysis type), stroma (non-glycolysis type).

Laser microdissection and protein extraction from formalin-fixed, paraffin-embedded tissues

To acquire tumors and tumor stroma, laser microdissection was performed with hematoxylin-stained, uncovered slides generated with FFPE blocks (LMD 6500; Leica, Wetzlar, Germany). Five cases per molecular subtype of breast cancer were microdissected. Protein extraction from microdissected FFPE tissues was performed using the Qproteome FFPE Tissue Kit (QIAGEN, Hilden, Germany). Briefly, microdissected FFPE tissues were deparaffinized in xylene and rehydrated in a graded series of alcohol. Afterward, the samples were mixed with FFPE extraction buffer EXB Plus (100 μl per sample; QIAGEN), incubated at 100°C for 20 min, at 80°C for 2 h and then centrifuged for 15 min at 14,000 × g at 4°C. The protein concentrations in the supernatant were determined using the Bradford assay (Bio-Rad Laboratories, Hercules, CA, USA).

Western blot analysis

Total protein (20 μg) from each sample was mixed with Laemmli sample buffer and heated at 100°C for 5 min. It was then loaded into individual wells, resolved by 8% SDS-PAGE and electroblotted onto nitrocellulose membranes (GE Healthcare Life Sciences, Pittsburgh, PA, USA). Membranes were blocked in 5% nonfat dry milk in Tris-buffered saline with Tween 20 (TBS-T), then incubated with antibodies to Glut-1, CAIX, ATP synthase, glutaminase, MCT-4, LC3A and p62 overnight at 4°C. The membranes were washed with TBS-T and then probed with peroxidase-conjugated goat anti-rabbit immunoglobulin G (1:2,000; Santa Cruz Biotechnology, Santa Cruz, CA, USA) for 1 h at room temperature. Washing was repeated and the membranes were developed with an enhanced chemiluminescence agent (Amersham/GE Healthcare Life Sciences, Little Chalfont, UK). Band densities were measured using TINA image software (raytest, Straubenhardt, Germany).

Statistical analyses

Data were processed using SPSS for Windows version 12.0 software (SPSS Inc, Chicago, IL, USA). Student’s t-test and Fisher’s exact test were used to examine any differences in continuous and categorical variables, respectively. Significance was assumed when P < 0.05. Kaplan-Meier survival curves and logrank statistics were employed to evaluate time to tumor recurrence and time to survival. Multivariate regression analysis was performed using the Cox proportional hazards model.

Results

Patients’ characteristics according to tumor phenotype

The clinicopathologic characteristics of 740 patients, comprising 298 (40.3%) cases of luminal A, 166 (22.4%) cases of luminal B, 69 (9.3%) cases of HER2 type and 207 (28%) cases of TNBC type, are summarized in Table  3. TNBC type had the highest histologic grade, tumor stage and Ki-67 LI (P < 0.001, P = 0.002 and P < 0.001, respectively). In addition, HER2 and TNBC types had higher incidences of tumor recurrence and patient death than other types (P < 0.001).

Table 3.

Clinicopathologic characteristics of patients according to breast cancer phenotype a

Parameters Total
Luminal A
Luminal B
HER2
TNBC
P -value
( N = 740) (%) ( n = 298) (%) ( n = 166) (%) ( n = 69) (%) ( n = 207) (%)
Age (years, mean ± SD)
49.7 ± 11.0
50.6 ± 10.5
48.5 ± 10.1
52.8 ± 9.8
48.4 ± 12.4
0.007
Histologic grade
 
 
 
 
 
<0.001
 I
118 (15.9)
90 (30.2)
18 (10.8)
1 (1.4)
9 (4.3)
 
 II
373 (50.4)
180 (60.4)
90 (54.2)
35 (50.7)
68 (32.9)
 
 III
249 (33.6)
28 (9.4)
58 (34.9)
33 (47.8)
130 (62.8)
 
Tumor stage
 
 
 
 
 
0.002
 T1
358 (48.4)
166 (55.7)
86 (51.8)
31 (44.9)
75 (36.2)
 
 T2
367 (49.6)
125 (41.9)
78 (47.0)
37 (53.6)
127 (61.4)
 
 T3
15 (2.0)
7 (2.3)
2 (1.2)
1 (1.4)
5 (2.4)
 
Nodal stage
 
 
 
 
 
0.041
 N0
436 (58.9)
168 (56.4)
91 (54.8)
42 (60.9)
135 (65.2)
 
 N1
200 (27.0)
90 (30.2)
43 (25.9)
13 (18.8)
54 (26.1)
 
 N2
66 (8.9)
27 (9.1)
17 (18.5)
10 (14.5)
12 (5.8)
 
 N3
38 (5.1)
13 (4.4)
15 (9.0)
4 (5.8)
6 (2.9)
 
Estrogen receptor status
 
 
 
 
 
<0.001
 Negative
286 (38.6)
5 (1.7)
5 (3.0)
69 (100.0)
207 (100.0)
 
 Positive
454 (61.4)
293 (98.3)
161 (97.0)
0 (0.0)
0 (0.0)
 
Progesterone receptor status
 
 
 
 
 
<0.001
 Negative
371 (50.1)
50 (16.8)
46 (27.7)
69 (100.0)
207 (100.0)
 
 Positive
369 (49.9)
248 (83.2)
120 (72.3)
0 (0.0)
0 (0.0)
 
HER2 status
 
 
 
 
 
<0.001
 0
290 (39.2)
108 (36.2)
23 (13.9)
0 (0.0)
159 (76.8)
 
 1+
186 (25.1)
118 (39.6)
33 (20.0)
0 (0.0)
35 (16.9)
 
 2+
142 (19.2)
72 (24.2)
41 (24.7)
16 (23.2)
13 (6.3)
 
 3+
122 (16.5)
0 (0.0)
69 (41.6)
53 (76.8)
0 (0.0)
 
Ki-67 LI (%, mean ± SD)
18.1 ± 19.2
4.7 ± 3.7
19.7 ± 12.7
19.5 ± 12.5
35.6 ± 23.7
<0.001
Tumor recurrence
69 (9.3)
15 (5.0)
12 (7.2)
11 (15.9)
31 (15.0)
<0.001
Patient’s death
67 (9.1)
14 (4.7)
11 (6.6)
12 (17.4)
30 (14.5)
<0.001
Duration of clinical follow-up (months, mean ± SD) 70.2 ± 31.7 72.7 ± 30.0 70.3 ± 30.3 67.1 ± 35.8 67.8 ± 33.8 0.291

aLI, labeling index; TNBC triple-negative breast cancer.

Expression of metabolism-related proteins according to tumor phenotype

The differential expression of metabolism-related proteins according to breast cancer phenotype is summarized in Table  4. Tumor expression of Glut-1, MCT4 and LC3A was highest in TNBC and lowest in the luminal A type (P < 0.001). Stromal expression of CAIX and MCT4 and tumor expression of cytoplasmic p62 was highest in HER2 type and lowest in luminal A type (P = 0.032, P < 0.001 and P < 0.001, respectively). Tumor expression of CAIX and LC3B was highest in TNBC and lowest in luminal B type (P = 0.008 and P = 0.013, respectively). HER2 type showed the highest tumor and stromal ATP synthase expression (P = 0.027 and P < 0.001, respectively) and stromal glutaminase expression (P = 0.001), whereas luminal A type showed the lowest expression of those markers. Expression of stromal LC3A and tumor expression of nuclear p62 were highest in luminal A and lowest in TNBC (P < 0.001).

Table 4.

Expression of metabolism-related proteins according to breast cancer phenotype a

Parameters Total
Luminal A
Luminal B
HER2
TNBC
P -value
( N = 740 ) (%) ( n = 298 ) (%) ( n = 166) (%) ( n = 69) (%) ( n = 207) (%)
Glut-1 in tumor
 
 
 
 
 
<0.001
 Negative
504 (68.1)
260 (87.2)
124 (74.7)
47 (68.1)
73 (35.3)
 
 Positive
236 (31.9)
38 (12.8)
42 (25.3)
22 (31.9)
134 (64.7)
 
Glut-1 in stroma
 
 
 
 
 
0.103
 Negative
724 (97.8)
296 (99.3)
162 (97.6)
66 (95.7)
200 (96.6)
 
 Positive
16 (2.2)
2 (0.7)
4 (2.4)
3 (4.3)
7 (3.4)
 
CAIX in tumor
 
 
 
 
 
0.008
 Negative
520 (70.3)
217 (72.8)
127 (76.5)
49 (71.0)
127 (61.3)
 
 Positive
220 (29.7)
81 (27.2)
39 (23.5)
20 (29.0)
80 (38.6)
 
CAIX in stroma
 
 
 
 
 
0.032
 Negative
627 (84.7)
264 (88.6)
137 (82.5)
52 (75.4)
174 (84.1)
 
 Positive
113 (15.3)
34 (11.4)
29 (17.5)
17 (24.6)
33 (15.9)
 
ATP synthase in tumor
 
 
 
 
 
0.027
 Negative
30 (4.1)
20 (6.7)
4 (2.4)
1 (1.4)
5 (2.4)
 
 Positive
710 (95.9)
278 (93.3)
162 (97.6)
68 (98.6)
202 (97.6)
 
ATP synthase in stroma
 
 
 
 
 
<0.001
 Negative
570 (77.0)
256 (85.9)
112 (67.5)
38 (55.1)
164 (79.2)
 
 Positive
170 (23.0)
42 (14.1)
54 (32.5)
31 (44.9)
43 (20.8)
 
Glutaminase in tumor
 
 
 
 
 
0.164
 Negative
219 (29.6)
85 (28.5)
60 (36.1)
21 (30.4)
53 (25.6)
 
 Positive
521 (70.4)
213 (71.5)
106 (63.9)
48 (69.6)
154 (74.4)
 
Glutaminase in stroma
 
 
 
 
 
0.001
 Negative
495 (66.9)
223 (74.8)
105 (63.3)
39 (56.5)
128 (61.8)
 
 Positive
245 (33.1)
75 (25.2)
61 (36.7)
30 (43.5)
79 (38.2)
 
BNIP3 in tumor
 
 
 
 
 
0.262
 Negative
504 (68.1)
206 (69.1)
112 (67.5)
40 (58.0)
146 (70.5)
 
 Positive
236 (31.9)
92 (30.9)
54 (32.5)
29 (42.0)
61 (29.5)
 
BNIP3 in stroma
 
 
 
 
 
0.262
 Negative
700 (94.6)
281 (94.3)
159 (95.8)
62 (89.9)
198 (95.7)
 
 Positive
40 (5.4)
17 (5.7)
7 (4.2)
7 (10.1)
9 (4.3)
 
MCT4 in tumor
 
 
 
 
 
<0.001
 Negative
540 (73.0)
253 (84.9)
118 (71.1)
49 (71.0)
120 (58.0)
 
 Positive
200 (27.0)
45 (15.1)
48 (28.9)
20 (29.0)
87 (42.0)
 
MCT4 in stroma
 
 
 
 
 
<0.001
 Negative
418 (56.5)
222 (74.5)
81 (48.8)
23 (33.3)
92 (44.4)
 
 Positive
322 (43.5)
76 (25.5)
85 (51.2)
46 (66.7)
115 (55.6)
 
Cytoplasmic Beclin-1
 
 
 
 
 
0.137
 Negative
406 (54.9)
169 (56.7)
99 (59.6)
31 (44.9)
107 (51.7)
 
 Positive
334 (45.1)
129 (43.3)
67 (33.7)
38 (55.1)
100 (48.3)
 
Nuclear Beclin-1
 
 
 
 
 
<0.001
 Negative
666 (90.0)
262 (87.9)
152 (91.6)
55 (79.7)
197 (95.2)
 
 Positive
74 (10.0)
36 (12.1)
14 (8.4)
14 (20.3)
10 (4.8)
 
LC3A in tumor
 
 
 
 
 
<0.001
 Negative
669 (90.4)
294 (98.7)
158 (95.2)
68 (98.6)
149 (72.0)
 
 Positive
71 (9.6)
4 (1.3)
8 (4.8)
1 (1.4)
58 (28.0)
 
LC3A in stroma
 
 
 
 
 
<0.001
 Negative
687 (92.8)
267 (89.6)
151 (91.0)
62 (89.9)
207 (100.0)
 
 Positive
53 (7.2)
31 (10.4)
15 (9.0)
7 (10.1)
0 (0.0)
 
LC3B in tumor
 
 
 
 
 
0.013
 Negative
475 (64.2)
186 (62.4)
124 (74.7)
42 (60.9)
123 (59.4)
 
 Positive
265 (35.8)
112 (37.6)
42 (25.3)
27 (39.1)
84 (40.6)
 
LC3B in stroma
 
 
 
 
 
0.645
 Negative
688 (93.0)
277 (93.0)
151 (91.0)
65 (94.2)
195 (94.2)
 
 Positive
52 (7.0)
21 (7.0)
15 (9.0)
4 (5.8)
12 (5.8)
 
Cytoplasmic p62 in tumor
 
 
 
 
 
<0.001
 Negative
274 (37.0)
131 (44.0)
51 (30.7)
15 (21.7)
77 (37.2)
 
 Positive
466 (63.0)
167 (56.0)
115 (69.3)
54 (78.3)
130 (62.8)
 
Nuclear p62 in tumor
 
 
 
 
 
<0.001
 Negative
532 (71.9)
180 (60.4)
131 (78.9)
44 (63.8)
177 (85.5)
 
 Positive
208 (28.1)
118 (39.6)
35 (21.1)
25 (36.2)
30 (14.5)
 
Nuclear p62 in stroma
 
 
 
 
 
0.876
 Negative
512 (69.2)
206 (69.1)
115 (69.3)
45 (65.2)
146 (70.5)
 
 Positive 228 (30.8) 92 (30.9) 51 (30.7) 24 (34.8) 61 (29.5)  

aBNIP3, BCL2/adenovirus E1B 19-kDa interacting protein 3; CAIX, carbonic anhydrase IX; Glut-1, glucose transporter 1; LC3A, microtubule-associated protein 1 light chain 3α; LC3B, microtubule-associated protein 1 light chain 3β; MCT4, monocarboxylate transporter 4; TNBC, triple-negative breast cancer.

Correlation between metabolism-related proteins and clinicopathologic factors

The correlation between expression of metabolism-related proteins and clinicopathologic parameters is summarized in Table  5. Tumor expression of Glut-1 was associated with higher histologic grade (P < 0.001), ER negativity (P < 0.001), higher T stage (P < 0.001) and higher Ki-67 LI (P < 0.001), whereas CAIX was associated with higher Ki-67 LI (P < 0.001). Stromal ATP synthase expression was associated with HER2 positivity (P < 0.001), and stromal glutaminase expression was associated with higher KI-67 LI (P = 0.021). Tumor expression of MCT4 was associated with higher histologic grade (P < 0.001), ER negativity (P < 0.001), PR negativity (P < 0.001), higher T stage (P < 0.001) and higher Ki-67 LI (P < 0.001). Stromal expression of MCT4 was associated with higher histologic grade (P < 0.001), ER negativity (P < 0.001), PR negativity (P < 0.001), HER2 positivity (P < 0.001) and higher Ki-67 LI (P < 0.001). Tumor expression of LC3A was associated with higher histologic grade (P < 0.001), ER negativity (P < 0.001), PR negativity (P < 0.001), HER2 negativity (P < 0.001) and higher Ki-67 LI (P < 0.001). In contrast, stromal expression of LC3A was associated with ER positivity (P < 0.001), PR positivity (P < 0.001) and lower Ki-67 LI (P = 0.032). Tumor expression of cytoplasmic p62 was associated with HER2 positivity (P < 0.001), whereas nuclear p62 was associated with lower histologic grade (P < 0.001), ER positivity (P < 0.001), PR positivity (P < 0.001) and lower Ki-67 LI (P < 0.001).

Table 5.

Correlations between the expression of metabolism-related proteins and clinicopathologic parameters a

Parameters
Glut-1 in tumor
Glut-1 in stroma
CAIX in tumor
CAIX in stroma
 
 
 
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
 
 
 
  ( n = 504) (%) ( n = 236) (%) P -value ( n = 724) (%) ( n = 16) (%) P -value ( n = 520) (%) ( n = 220) (%) P -value ( n = 627) (%) ( n = 113) (%) P -value      
Age (years, mean ± SD)
50.5 ± 10.7
48.1 ± 11.4
0.126
49.7 ± 110.0
49.3 ± 9.0
18.14
49.7 ± 11.0
49.8 ± 11.0
19.67
49.3 ± 11.1
51.7 ± 10.3
0.840
 
 
 
Histologic grade
 
 
<0.001
 
 
8.946
 
 
0.441
 
 
0.483
 
 
 
 I/II
392 (71.8)
99 (41.9)
 
482 (67.3)
9 (56.3)
 
359 (69.0)
132 (60.0)
 
427 (68.1)
64 (56.6)
 
 
 
 
 III
112 (22.2)
137 (58.1)
 
242 (33.4)
7 (43.7)
 
161 (31.0)
88 (40.0)
 
200 (31.9)
49 (43.4)
 
 
 
 
ER
 
 
<0.001
 
 
0.378
 
 
0.042
 
 
1.113
 
 
 
 Negative
128 (25.4)
158 (66.9)
 
275 (38.0)
11 (68.8)
 
182 (35.0)
104 (47.3)
 
233 (37.2)
53 (46.9)
 
 
 
 
 Positive
376 (74.6)
78 (33.1)
 
449 (62.0)
5 (31.2)
 
338 (65.0)
116 (52.7)
 
394 (62.8)
60 (53.1)
 
 
 
 
PR
 
 
<0.001
 
 
4.305
 
 
10.92
 
 
8.715
 
 
 
 Negative
190 (37.7)
182 (77.1)
 
361 (49.9)
11 (68.8)
 
257 (49.4)
115 (52.3)
 
311 (49.6)
61 (54.0)
 
 
 
 
 Positive
314 (62.3)
54 (22.9)
 
363 (50.1)
5 (31.2)
 
263 (50.6)
105 (47.7)
 
316 (50.4)
52 (46.0)
 
 
 
 
HER2
 
 
0.714
 
 
6.741
 
 
0.294
 
 
1.260
 
 
 
 Negative
386 (76.6)
197 (83.5)
 
572 (79.0)
11 (68.8)
 
397 (76.3)
186 (84.5)
 
502 (80.1)
81 (71.7)
 
 
 
 
 Positive
118 (23.4)
39 (16.5)
 
152 (21.0)
5 (31.2)
 
123 (23.7)
34 (15.5)
 
125 (19.9)
32 (28.3)
 
 
 
 
Tumor stage
 
 
<0.001
 
 
18.81
 
 
19.65
 
 
3.192
 
 
 
 T1
270 (53.6)
88 (37.3)
 
350 (48.3)
8 (50.0)
 
251 (48.3)
107 (48.6)
 
296 (47.2)
62 (54.9)
 
 
 
 
 T2/T3
234 (46.4)
148 (62.7)
 
374 (51.7)
8 (50.0)
 
269 (51.7)
113 (51.4)
 
331 (52.8)
51 (45.1)
 
 
 
 
Nodal stage
 
 
1.932
 
 
16.12
 
 
15.62
 
 
15.87
 
 
 
 N0
286 (56.7)
150 (63.6)
 
426 (58.8)
10 (62.5)
 
304 (58.5)
132 (60.0)
 
371 (59.2)
65 (57.5)
 
 
 
 
 N1/N2/N3
218 (43.3)
86 (36.4)
 
298 (41.2)
6 (37.5)
 
216 (41.5)
88 (40.0)
 
256 (40.8)
48 (42.5)
 
 
 
 
Ki-67 LI (%, mean ± SD)
12.7 ± 14.9
29.6 ± 22.1
<0.001
18.0 ± 19.3
22.5 ± 14.7
7.497
16.1 ± 17.5
22.7 ± 22.1
<0.001
17.8 ± 19.7
19.5 ± 16.7
8.505
 
 
 
Tumor recurrence
 
 
0.210
 
 
8.106
 
 
18.62
 
 
17.85
 
 
 
 Absent
467 (92.7)
204 (86.4)
 
655 (90.5)
16 (100.0)
 
471 (90.6)
200 (90.9)
 
568 (90.6)
103 (91.2)
 
 
 
 
 Present
37 (7.3)
32 (13.6)
 
69 (9.5)
0 (0.0)
 
49 (9.4)
20 (9.1)
 
59 (9.4)
10 (9.8)
 
 
 
 
Death
 
 
0.420
 
 
8.085
 
 
11.76
 
 
15.22
 
 
 
 Survival
467 (92.7)
206 (87.3)
 
657 (90.7)
16 (100.0)
 
475 (91.3)
198 (90.0)
 
571 (91.1)
102 (90.3)
 
 
 
 
 Death
37 (7.3)
30 (12.7)
 
67 (9.3)
0 (0.0)
 
45 (8.7)
22 (10.0)
 
56 (8.9)
11 (9.7)
 
 
 
 
Parameters
ATP synthase in tumor
ATP synthase in stroma
Glutaminase in tumor
Glutaminase in stroma
 
 
 
 
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
 
 
 
 
( n = 30) (%)
( n = 710) (%)
P -value
( n = 570) (%)
( n = 170) (%)
P -value
( n = 219) (%)
( n = 521) (%)
P -value
( n = 495) (%)
( n = 245) (%)
P -value
 
 
 
Age (years, mean ± SD)
46.7 ± 9.3
49.9 ± 11.0
2.478
49.5 ± 11.2
50.4 ± 10.0
7.539
49.2 ± 11.6
49.9 ± 10.7
11.90
49.5 ± 11.1
50.4 ± 10.7
5.124
 
 
 
Histologic grade
 
 
11.63
 
 
0.252
 
 
16.77
 
 
0.168
 
 
 
 I/II
22 (733)
469 (66.1)
 
392 (68.8)
99 (58.2)
 
147 (67.1)
344 (66.0)
 
345 (69.7)
146 (59.6)
 
 
 
 
 III
8 (26.7)
241 (33.9)
 
178 (31.2)
71 (41.8)
 
72 (32.9)
177 (34.0)
 
150 (30.3)
99 (40.4)
 
 
 
 
ER
 
 
1.827
 
 
1.533
 
 
4.536
 
 
0.126
 
 
 
 Negative
7 (23.3)
279 (39.3)
 
210 (36.8)
76 (44.7)
 
77 (35.2)
209 (40.1)
 
174 (35.2)
112 (45.7)
 
 
 
 
 Positive
23 (76.7)
431 (60.7)
 
360 (63.2)
94 (55.3)
 
142 (64.8)
312 (59.9)
 
321 (64.8)
133 (54.3)
 
 
 
 
PR
 
 
0.189
 
 
0.609
 
 
4.158
 
 
0.735
 
 
 
 Negative
8 (26.7)
364 (51.3)
 
274 (48.1)
98 (57.6)
 
102 (46.6)
270 (51.8)
 
235 (47.5)
137 (55.9)
 
 
 
 
 Positive
22 (73.3)
346 (48.7)
 
296 (51.9)
72 (42.4)
 
117 (53.4)
251 (48.2)
 
260 (52.5)
108 (44.1)
 
 
 
 
HER2
 
 
3.570
 
 
<0.001
 
 
13.08
 
 
3.822
 
 
 
 Negative
27 (90.0)
556 (78.3)
 
472 (82.8)
111 (65.3)
 
170 (77.6)
413 (79.3)
 
397 (80.2)
186 (75.9)
 
 
 
 
 Positive
3 (10.0)
154 (21.7)
 
98 (17.2)
59 (34.7)
 
49 (22.4)
108 (20.7)
 
98 (19.8)
59 (24.1)
 
 
 
 
Tumor stage
 
 
7.539
 
 
21.00
 
 
7.875
 
 
18.39
 
 
 
 T1
12 (40.0)
346 (48.7)
 
276 (48.4)
82 (48.2)
 
100 (45.7)
258 (49.5)
 
238 (48.1)
120 (49.0)
 
 
 
 
 T2/T3
18 (60.0)
364 (51.3)
 
294 (51.6)
88 (51.8)
 
119 (54.3)
263 (50.5)
 
257 (51.9)
125 (51.0)
 
 
 
 
Nodal stage
 
 
7.266
 
 
6.027
 
 
7.728
 
 
8.967
 
 
 
 N0
15 (50.0)
421 (59.3)
 
342 (60.0)
94 (55.3)
 
135 (61.6)
301 (57.8)
 
297 (60.0)
139 (56.7)
 
 
 
 
 N1/N2/N3
15 (50.0)
289 (40.7)
 
228 (40.0)
76 (44.7)
 
84 (38.4)
220 (42.2)
 
198 (40.0)
106 (43.3)
 
 
 
 
Ki-67 LI (%, mean ± SD)
9.8 ± 11.7
18.4 ± 19.4
0.336
17.3 ± 19.7
20.8 ± 17.5
0.798
18.6 ± 20.0
17.8 ± 18.9
13.50
15.6 ± 17.2
22.9 ± 22.0
0.021
 
 
 
Tumor recurrence
 
 
10.79
 
 
21.00
 
 
7.014
 
 
10.56
 
 
 
 Absent
26 (86.7)
645 (90.8)
 
517 (90.7)
154 (90.6)
 
195 (89.0)
476 (91.4)
 
446 (90.1)
225 (91.8)
 
 
 
 
 Present
4 (13.3)
65 (9.2)
 
53 (9.3)
16 (9.4)
 
24 (11.0)
45 (8.6)
 
49 (9.9)
20 (8.2)
 
 
 
 
Death
 
 
15.68
 
 
13.60
 
 
3.381
 
 
8.757
 
 
 
 Survival
27 (90.0)
646 (91.0)
 
520 (91.2)
153 (90.0)
 
194 (88.6)
479 (91.9)
 
447 (90.3)
226 (92.2)
 
 
 
 
 Death
3 (10.0)
64 (9.0)
 
50 (8.8)
17 (10.0)
 
25 (11.4)
42 (8.1)
 
48 (9.7)
19 (7.8)
 
 
 
 
Parameters
BNIP3 in tumor
BNIP3 in stroma
MCT4 in tumor
MCT4 in stroma
 
 
 
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
 
 
 
 
( n =504) (%)
( n = 236) (%)
P -value
( n = 700) (%)
( n = 40) (%)
P -value
( n = 540) (%)
( n = 200) (%)
P -value
( n = 418) (%)
( n = 322) (%)
P -value
 
 
 
Age (years, mean ± SD)
48.9 ± 10.9
51.6 ± 11.0
0.042
49.5 ± 10.8
53.2 ± 12.7
0.882
49.8 ± 11.1
49.6 ± 10.6
17.91
49.6 ± 11.0
49.5 ± 10.9
14.80
 
 
 
Histologic grade
 
 
5.859
 
 
15.37
 
 
<0.001
 
 
<0.001
 
 
 
 I/II
341 (67.7)
150 (63.6)
 
463 (66.1)
28 (70.0)
 
386 (71.5)
105 (52.5)
 
314 (75.1)
177 (55.0)
 
 
 
 
 III
163 (32.3)
86 (36.4)
 
237 (33.9)
12 (30.0)
 
154 (28.5)
95 (47.5)
 
104 (24.9)
145 (45.0)
 
 
 
 
ER
 
 
14.40
 
 
12.99
 
 
<0.001
 
 
<0.001
 
 
 
 Negative
192 (38.1)
94 (39.8)
 
269 (38.4)
17 (42.5)
 
174 (32.2)
112 (56.0)
 
123 (29.4)
163 (50.6)
 
 
 
 
 Positive
312 (61.9)
142 (60.2)
 
431 (61.6)
23 (57.5)
 
366 (67.8)
88 (44.0)
 
295 (70.6)
159 (49.4)
 
 
 
 
PR
 
 
17.07
 
 
8.757
 
 
<0.001
 
 
<0.001
 
 
 
 Negative
255 (50.6)
117 (49.6)
 
349 (49.9)
23 (57.5)
 
232 (43.0)
140 (70.0)
 
179 (42.8)
193 (60.0)
 
 
 
 
 Positive
249 (49.4)
119 (50.4)
 
351 (50.1)
17 (42.5)
 
308 (57.0)
60 (30.0)
 
239 (57.2)
129 (40.0)
 
 
 
 
HER2
 
 
4.410
 
 
6.762
 
 
11.42
 
 
<0.001
 
 
 
 Negative
404 (80.2)
179 (75.8)
 
554 (79.1)
29 (72.5)
 
422 (78.1)
161 (80.5)
 
356 (85.2)
227 (70.5)
 
 
 
 
 Positive
100 (19.8)
57 (24.2)
 
146 (20.9)
11 (27.5)
 
118 (21.9)
39 (19.5)
 
62 (14.8)
95 (29.5)
 
 
 
 
Tumor stage
 
 
1.449
 
 
15.66
 
 
<0.001
 
 
7.854
 
 
 
 T1
232 (46.0)
126 (53.4)
 
340 (48.6)
18 (45.0)
 
283 (52.4)
75 (37.5)
 
196 (46.9)
162 (50.3)
 
 
 
 
 T2/T3
272 (54.0)
110 (46.6)
 
360 (51.4)
22 (55.0)
 
257 (47.6)
125 (62.5)
 
222 (53.1)
160 (49.7)
 
 
 
 
Nodal stage
 
 
6.237
 
 
0.630
 
 
18.20
 
 
7.686
 
 
 
 N0
290 (57.5)
146 (61.9)
 
419 (59.9)
17 (42.5)
 
317 (58.7)
119 (59.5)
 
240 (57.4)
196 (60.9)
 
 
 
 
 N1/N2/N3
214 (42.5)
90 (38.1)
 
281 (40.1)
23 (57.5)
 
223 (41.3)
81 (40.5)
 
178 (42.6)
126 (39.1)
 
 
 
 
Ki-67 LI (%, mean ± SD)
18.9 ± 20.9
16.2 ± 15.0
1.680
18.3 ± 19.5
14.6 ± 13.7
5.208
15.3 ± 17.8
25.6 ± 21.0
<0.001
13.2 ± 16.5
24.3 ± 20.7
<0.001
 
 
 
Tumor recurrence
 
 
0.021
 
 
3.444
 
 
14.11
 
 
11.00
 
 
 
 Absent
445 (88.3)
226 (95.8)
 
632 (90.3)
39 (97.5)
 
491 (90.9)
180 (90.0)
 
376 (90.0)
295 (91.6)
 
 
 
 
 Present
59 (11.7)
10 (4.2)
 
68 (9.7)
1 (2.5)
 
49 (9.1)
20 (10.0)
 
42 (10.0)
27 (8.4)
 
 
 
 
Death
 
 
5.712
 
 
15.22
 
 
11.90
 
 
2.562
 
 
 
 Survival
454 (90.1)
219 (92.8)
 
636 (90.9)
37 (92.5)
 
493 (91.3)
180 (90.0)
 
374 (89.5)
299 (92.9)
 
 
 
 
 Death
50 (9.9)
17 (7.2)
 
64 (9.1)
3 (7.5)
 
47 (8.7)
20 (10.0)
 
44 (10.5)
23 (7.1)
 
 
 
 
Parameters
Cytoplasmic Beclin-1
Nuclear Beclin-1
LC3A in tumor
LC3A in stroma
 
 
 
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
 
 
 
 
( n = 406) (%)
( n = 334) (%)
P -value
( n = 666) (%)
( n = 74) (%)
P -value
( n = 669) (%)
( n = 71) (%)
P -value
( n = 687) (%)
( n = 53) (%)
P -value
 
 
 
Age (years, mean ± SD)
48.6 ± 10.5
51.1 ± 11.4
0.042
49.6 ± 11.1
50.8 ± 9.9
8.316
50.2 ± 11.0
45.6 ± 9.8
0.021
49.7 ± 11.0
49.6 ± 9.2
19.65
 
 
 
Histologic grade
 
 
14.61
 
 
<0.001
 
 
<0.001
 
 
1.029
 
 
 
 I/II
272 (67.0)
219 (65.6)
 
427 (64.1)
64 (86.5)
 
470 (70.3)
21 (29.6)
 
449 (65.4)
42 (79.2)
 
 
 
 
 III
134 (33.0)
115 (34.4)
 
239 (35.9)
10 (13.5)
 
199 (29.7)
50 (70.4)
 
238 (34.6)
11 (20.8)
 
 
 
 
ER
 
 
6.090
 
 
8.022
 
 
<0.001
 
 
<0.001
 
 
 
 Negative
143 (35.2)
143 (42.8)
 
261 (39.2)
25 (33.8)
 
226 (33.8)
60 (84.5)
 
278 (40.5)
8 (15.1)
 
 
 
 
 Positive
263 (64.8)
191 (57.2)
 
405 (60.8)
49 (66.2)
 
443 (66.2)
11 (15.5)
 
409 (59.5)
45 (84.9)
 
 
 
 
PR
 
 
19.76
 
 
1.827
 
 
<0.001
 
 
<0.001
 
 
 
 Negative
205 (50.5)
167 (50.0)
 
342 (51.4)
30 (40.5)
 
309 (46.2)
63 (88.7)
 
360 (52.4)
12 (22.6)
 
 
 
 
 Positive
201 (49.5)
167 (50.0)
 
324 (48.6)
44 (59.5)
 
360 (53.8)
8 (11.3)
 
327 (47.6)
41 (77.4)
 
 
 
 
HER2
 
 
12.36
 
 
0.336
 
 
<0.001
 
 
8.022
 
 
 
 Negative
323 (79.6)
260 (77.8)
 
533 (80.0)
50 (67.6)
 
515 (76.9)
68 (95.8)
 
544 (79.2)
39 (73.6)
 
 
 
 
 Positive
83 (20.4)
74 (22.2)
 
133 (20.0)
24 (32.4)
 
154 (23.1)
3 (4.2)
 
143 (20.8)
14 (26.4)
 
 
 
 
Tumor stage
 
 
0.042
 
 
6.888
 
 
16.86
 
 
0.210
 
 
 
 T1
175 (43.1)
183 (54.8)
 
318 (47.7)
40 (54.1)
 
325 (48.6)
33 (46.5)
 
323 (47.0)
35 (66.0)
 
 
 
 
 T2/T3
231 (56.9)
151 (45.2)
 
348 (52.3)
34 (45.9)
 
344 (51.4)
38 (53.5)
 
364 (53.0)
18 (34.0)
 
 
 
 
Nodal stage
 
 
13.71
 
 
3.612
 
 
6.552
 
 
16.23
 
 
 
 N0
236 (58.1)
200 (59.9)
 
398 (59.8)
38 (51.4)
 
390 (58.3)
46 (64.8)
 
406 (59.1)
30 (56.6)
 
 
 
 
 N1/N2/N3
170 (41.9)
134 (40.1)
 
268 (40.2)
36 (48.6)
 
279 (41.7)
25 (35.2)
 
281 (40.9)
23 (43.4)
 
 
 
 
Ki-67 LI (%, mean ± SD)
17.8 ± 19.4
18.3 ± 19.1
0.042
19.0 ± 19.8
9.5 ± 10.0
<0.001
15.7 ± 17.2
39.6 ± 23.1
<0.001
18.7 ± 19.7
10.4 ± 9.6
0.032
 
 
 
Tumor recurrence
 
 
0.882
 
 
2.877
 
 
4.053
 
 
16.98
 
 
 
 Absent
360 (88.7)
311 (93.1)
 
600 (90.1)
71 (95.9)
 
610 (91.2)
61 (85.9)
 
622 (90.5)
49 (92.5)
 
 
 
 
 Present
46 (11.3)
23 (6.9)
 
66 (9.9)
3 (4.1)
 
59 (8.8)
10 (14.1)
 
65 (9.5)
4 (7.5)
 
 
 
 
Death
 
 
16.75
 
 
0.189
 
 
10.75
 
 
9.765
 
 
 
 Survival
368 (90.6)
305 (91.3)
 
600 (90.1)
73 (98.6)
 
610 (91.2)
63 (88.7)
 
623 (90.7)
50 (94.3)
 
 
 
 
 Death
38 (9.4)
29 (8.7)
 
66 (9.9)
1 (1.4)
 
59 (8.8)
8 (11.3)
 
64 (9.3)
3 (5.7)
 
 
 
 
Parameters
LC3B in tumor
LC3B in stroma
Cytoplasmic p62 in tumor
Nuclear p62 in tumor
Nuclear p62 in stroma
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
Negative
Positive
 
 
( n = 475) (%)
(n = 265) (%)
P -value
( n = 688) (%)
( n = 52) (%)
P -value
( n = 274) (%)
( n = 466) (%)
P -value
( n = 532) (%)
( n = 208) (%)
P -value
( n = 512) (%)
( n = 228) (%)
P -value
Age
49.4 ± 10.4
50.4 ± 12.0
4.599
49.6 ± 11.0
51.1 ± 10.6
15.77
49.4 ± 10.3
49.9 ± 11.4
10.35
49.4 ± 10.9
50.6 ± 11.2
3.717
49.5 ± 11.2
50.3 ± 10.4
6.741
(years, mean ± SD)
Histologic grade
 
 
3.528
 
 
9.450
 
 
0.210
 
 
<0.001
 
 
18.18
 I/II
324 (68.2)
167 (63.0)
 
459 (66.7)
32 (61.5)
 
198 (72.3)
293 (62.9)
 
322 (60.5)
169 (81.3)
 
341 (66.6)
150 (65.8)
 
 III
151 (31.8)
98 (37.0)
 
229 (33.3)
20 (38.5)
 
76 (27.7)
173 (37.1)
 
210 (39.5)
39 (18.8)
 
171 (33.4)
78 (34.2)
 
ER
 
 
6.279
 
 
7.980
 
 
2.877
 
 
<0.001
 
 
14.34
 Negative
173 (36.4)
113 (42.6)
 
269 (39.1)
17 (32.7)
 
96 (35.0)
190 (40.8)
 
227 (42.7)
59 (28.4)
 
195 (38.1)
91 (39.9)
 
 Positive
302 (63.6)
152 (57.4)
 
419 (60.9)
35 (67.3)
 
178 (65.0)
276 (59.2)
 
305 (57.3)
149 (71.6)
 
317 (61.9)
137 (60.1)
 
PR
 
 
10.29
 
 
5.292
 
 
0.105
 
 
<0.001
 
 
17.05
 Negative
234 (49.3)
138 (52.1)
 
350 (50.9)
22 (42.3)
 
119 (43.4)
253 (54.3)
 
293 (55.1)
79 (38.0)
 
259 (50.6)
113 (49.6)
 
 Positive
241 (50.7)
127 (47.9)
 
338 (49.1)
30 (57.7)
 
155 (56.6)
213 (45.7)
 
239 (44.9)
129 (62.0)
 
253 (49.4)
115 (50.4)
 
HER2
 
 
12.07
 
 
12.55
 
 
<0.001
 
 
16.04
 
 
13.16
 Negative
371 (78.1)
212 (80.0)
 
540 (78.5)
43 (82.7)
 
238 (86.9)
345 (74.0)
 
421 (79.1)
162 (77.9)
 
406 (79.3)
177 (34.6)
 
 Positive
104 (21.9)
53 (20.0)
 
148 (21.5)
9 (17.3)
 
36 (13.1)
121 (26.0)
 
111 (20.9)
46 (22.1)
 
106 (20.7)
51 (22.4)
 
Tumor stage
 
 
0.357
 
 
14.00
 
 
3.570
 
 
0.189
 
 
0.189
 T1
214 (45.1)
144 (54.3)
 
331 (48.1)
27 (51.9)
 
142 (51.8)
216 (46.4)
 
241 (45.3)
117 (56.2)
 
231 (45.1)
127 (55.7)
 
 T2/T3
261 (54.9)
121 (45.7)
 
357 (51.9)
25 (48.1)
 
132 (48.2)
250 (53.6)
 
291 (54.7)
91 (43.8)
 
281 (54.9)
101 (44.3)
 
Nodal stage
 
 
6.531
 
 
13.90
 
 
3.969
 
 
5.901
 
 
10.87
 N0
273 (57.5)
163 (61.5)
 
407 (59.2)
29 (55.8)
 
170 (62.0)
266 (57.1)
 
320 (60.2)
116 (55.8)
 
306 (59.8)
130 (57.0)
 
 N1/N2/N3
202 (42.5)
102 (38.5)
 
281 (40.8)
23 (44.2)
 
104 (38.0)
200 (42.9)
 
212 (39.8)
92 (44.2)
 
206 (40.2)
98 (43.0)
 
Ki-67 LI (%, mean ± SD)
18.2 ± 19.8
17.8 ± 18.2
16.10
18.4 ± 19.4
18.9 ± 17.6
15.77
16.0 ± 19.2
19.3 ± 19.2
0567
21.4 ± 20.8
9.5 ± 10.6
<0.001
18.5 ± 19.7
17.0 ± 18.1
7.161
Tumor recurrence
 
 
18.81
 
 
9.765
 
 
18.83
 
 
3.339
 
 
19.80
 Absent
430 (90.5)
241 (90.9)
 
622 (90.4)
49 (94.2)
 
248 (90.5)
423 (90.8)
 
477 (89.7)
194 (93.3)
 
464 (90.6)
207 (90.8)
 
 Present
45 (9.5)
24 (9.1)
 
66 (9.6)
3 (5.8)
 
26 (9.5)
43 (9.2)
 
55 (10.3)
14 (6.7)
 
48 (9.4)
21 (9.2)
 
Death
 
 
8.925
 
 
12.89
 
 
14.53
 
 
10.03
 
 
14.28
 Survival
435 (91.6)
238 (89.8)
 
624 (90.7)
49 (94.2)
 
251 (91.6)
422 (90.6)
 
481 (90.4)
192 (92.3)
 
467 (91.2)
206 (90.3)
 
 Death 40 (8.4) 27 (10.2)   64 (9.3) 3 (5.8)   23 (8.4) 44 (9.4)   51 (9.6) 16 (7.7)   45 (8.8) 22 (9.7)  

aP-values are corrected for multiple testing using the Bonferroni correction. BNIP3, BCL2/adenovirus E1B 19-kDa interacting protein 3; CAIX, carbonic anhydrase IX; Glut-1, glucose transporter 1; LC3A, microtubule-associated protein 1 light chain 3α; LC3B, microtubule-associated protein 1 light chain 3β; LI, labeling index; MCT4, monocarboxylate transporter 4; TNBC, triple-negative breast cancer.

Correlation between tumor metabolic phenotype and clinicopathologic factors

The correlation between the metabolic phenotype of breast cancer and clinicopathologic parameters is summarized in Table  6 and Figure  1. The metabolic phenotype was the Warburg type (n = 298, 40.3%), the null type (n = 326, 44.0%), the mixed type (n = 62, 8.4%) and the reverse Warburg type (n = 54, 7.3%). Histologic grade was highest in the mixed type and lowest in the null type (P < 0.001). The mixed type had the highest percentage of ER and PR negativity, and the null type had the highest percentage of ER and PR positivity (P < 0.001). The Warburg type had the highest percentage of negative HER2 status (P = 0.006). The Warburg and mixed types comprised the highest percentage of TNBC, and the reverse Warburg and null types comprised the highest percentage of luminal A types (P < 0.001). Stromal expression of ATP synthase and glutaminase was high in the reverse Warburg and mixed types and low in the Warburg and null types (P < 0.001). For the status of tumor autophagy, the mixed type had the highest percentage of activated tumor autophagy and the null type had the highest percentage of nonactivated tumor autophagy (P < 0.001). For the status of stromal autophagy, the reverse Warburg and mixed types had a higher percentage of activation than other types (P < 0.001). Tumor expression of MCT4 was highest in the Warburg type and lowest in the null type (P < 0.001), whereas stromal expression of MCT4 was highest in the mixed type and lowest in the null type (P < 0.001). Ki-67 LI was highest in the mixed type and lowest in the null type (P < 0.001).

Table 6.

Clinicopathologic characteristics of patients according to metabolic phenotype a

Parameters Warburg type
Reverse Warburg
Mixed type
Null type
P -value
( n = 298) (%) type ( n = 54) (%) ( n = 62) (%) ( n = 326) (%)
Age (years, mean ± SD)
48.5 ± 11.7
52.0 ± 10.2
51.3 ± 10.2
50.1 ± 10.5
0.052
Histologic grade
 
 
 
 
<0.001
 I/II
169 (56.7)
41 (75.9)
23 (37.0)
258 (79.1)
 
 III
129 (43.3)
13 (24.1)
39 (72.2)
68 (20.9)
 
Tumor stage
 
 
 
 
0.017
 T1
123 (41.3)
29 (53.7)
34 (54.8)
172 (52.8)
 
 T2/T3
175 (58.7)
25 (46.3)
28 (45.2)
154 (47.2)
 
Nodal stage
 
 
 
 
0.457
 N0
177 (59.3)
27 (50.0)
40 (64.5)
192 (58.9)
 
 N1/N2/N3
121 (40.6)
27 (50.0)
22 (35.5)
134 (41.1)
 
Estrogen receptor status
 
 
 
 
<0.001
 Negative
152 (51.0)
15 (27.8)
39 (62.9)
80 (24.5)
 
 Positive
146 (49.0)
39 (72.2)
23 (37.1)
246 (75.5)
 
Progesterone receptor status
 
 
 
 
<0.001
 Negative
181 (60.7)
22 (40.7)
40 (64.5)
129 (39.6)
 
 Positive
117 (39.3)
32 (59.3)
22 (35.5)
197 (60.4)
 
HER2 status
 
 
 
 
0.006
 Negative
252 (84.6)
36 (66.7)
47 (75.8)
248 (76.1)
 
 Positive
46 (15.4)
18 (33.3)
15 (24.2)
78 (23.9)
 
Molecular subtype
 
 
 
 
<0.001
 Luminal A
91 (30.5)
22 (40.7)
12 (19.4)
173 (53.1)
 
 Luminal B
58 (19.5)
18 (33.3)
13 (21.0)
77 (23.6)
 
 HER2
22 (7.4)
7 (13.0)
10 (16.1)
30 (9.2)
 
 Triple-negative
127 (42.6)
7 (13.0)
27 (43.5)
46 (14.1)
 
ATP synthase in tumor
 
 
 
 
0.178
 Negative
8 (2.7)
1 (1.9)
2 (3.2)
19 (5.8)
 
 Positive
290 (97.3)
53 (98.1)
60 (96.8)
307 (94.2)
 
ATP synthase in stroma
 
 
 
 
<0.001
 Negative
247 (82.9)
29 (53.7)
33 (53.2)
261 (80.1)
 
 Positive
51 (17.1)
25 (46.3)
29 (46.8)
65 (19.9)
 
Glutaminase in tumor
 
 
 
 
0.512
 Negative
84 (28.2)
13 (24.1)
17 (27.4)
105 (32.2)
 
 Positive
214 (71.8)
41 (75.9)
45 (72.6)
221 (67.8)
 
Glutaminase in stroma
 
 
 
 
<0.001
 Negative
206 (69.1)
20 (37.0)
29 (46.8)
240 (73.6)
 
 Positive
92 (30.9)
34 (63.0)
33 (53.2)
86 (26.4)
 
Tumor mitochondrial status
 
 
 
 
0.217
 Dysfunctional
94 (31.5)
20 (37.0)
26 (41.9)
96 (29.4)
 
 Functional
204 (68.5)
34 (63.0)
36 (58.1)
230 (70.6)
 
Stroma mitochondrial status
 
 
 
 
0.055
 Dysfunctional
13 (4.4)
3 (5.6)
8 (12.9)
16 (4.9)
 
 Functional
285 (95.6)
51 (94.4)
54 (87.1)
310 (95.1)
 
Tumor autophagy status
 
 
 
 
<0.001
 Activated
168 (56.4)
28 (51.9)
45 (72.6)
117 (35.9)
 
 Nonactivated
130 (43.6)
26 (48.1)
17 (27.4)
209 (64.1)
 
Stroma autophagy status
 
 
 
 
<0.001
 Activated
9 (3.0)
11 (20.4)
13 (21.0)
21 (6.4)
 
 Nonactivated
289 (97.0)
43 (79.6)
49 (79.0)
305 (93.6)
 
MCT4 in tumor
 
 
 
 
<0.001
 Negative
180 (60.4)
38 (70.4)
40 (64.5)
282 (86.5)
 
 Positive
118 (39.6)
16 (29.6)
22 (35.5)
44 (13.5)
 
MCT4 in stroma
 
 
 
 
<0.001
 Negative
157 (52.7)
22 (40.7)
20 (32.3)
219 (67.2)
 
 Positive
141 (47.3)
32 (59.3)
42 (67.7)
107 (32.8)
 
Ki-67 LI (%, mean ± SD)
24.6 ± 22.5
13.2 ± 11.1
25.2 ± 18.6
11.5 ± 14.1
<0.001
 Tumor recurrence
38 (12.8)
6 (11.1)
4 (6.5)
21 (6.4)
0.043
 Patient’s death 36 (12.1) 5 (9.3) 6 (9.7) 20 (6.1) 0.081

aLI, labeling index; MCT4, monocarboxylate transporter 4.

Figure 1.

Figure 1

Histologic and immunohistochemical features according to metabolic phenotypes of breast cancer. The Warburg and mixed types show high histologic grade, estrogen receptor (ER) negativity and high Ki-67 labeling index (LI). In contrast, the reverse Warburg and null types show low histologic grade, ER positivity and low Ki-67 LI. ATP synthase and glutaminase were high in the reverse Warburg and mixed types and low in the Warburg and null types (P < 0.001). BNIP3, BCL2/adenovirus E1B 19-kDa interacting protein 3; CAIX, carbonic anhydrase IX; GLUT1, glucose transporter 1; H & E, hematoxylin and eosin; MCT4, monocarboxylate transporter 4.

Impact of metabolism-related proteins on patient prognosis

The results of univariate analysis on the correlation between metabolism-related proteins and the clinicopathologic parameters of patients are summarized in Table  7. Shorter disease-free survival (DFS) was associated with Glut-1 positivity (P = 0.010), BNIP3 negativity, tumor phenotype (HER2 and TNBC; P < 0.001) and tumor metabolic type (reverse Warburg type; P = 0.037) (Figure  2). Shorter overall survival (OS) was associated with Glut-1 positivity (P = 0.023), tumor phenotype (HER2 and TNBC; P < 0.001) and tumor metabolic type (mixed type; P = 0.045) (Figure  2). Prognostic factors evaluated by multivariate Cox analysis included histologic grade, T stage, N stage, ER status, PR status, HER2 status, tumor phenotype, tumor metabolic phenotype and tumor expression of Glut-1. The results showed that the independent factors associated with shorter DFS were ER negativity (odds ratio (OR) = 2.7, 95% CI = 1.7 to 4.5; P < 0.001), N stage (N0 vs. N1/2/3, OR = 2.3, 95% CI = 1.4 to 3.8; P = 0.001) and T stage (T1 vs. T2/3, OR = 2.4, 95% CI = 1.3 to 4.4; P = 0.002) and those associated with shorter OS were ER negativity (OR = 3.3, 95% CI = 2.0 to 5.5; P < 0.001) and N stage (N0 vs. N1/2/3, OR = 2.3, 95% CI = 1.4 to 3.8; P = 0.001).

Table 7.

Univariate analysis of the expression of metabolism-related proteins in breast cancers and disease-free survival or overall survival by logrank test a

Immunohistochemical factors Number of patients/ recurrence/death Disease-free survival
Overall survival
Mean survival(95% CI), months P -value Mean survival (95% CI), months P -value
Glut-1 in tumor
 
 
0.010
 
0.023
 Negative
504/37/37
128 (125 to 131)
 
131 (128 to 134)
 
 Positive
236/32/30
119 (112 to 126)
 
123 (118 to 128)
 
Glut-1 in stroma
 
 
n/a
 
n/a
 Negative
724/69/67
n/a
 
n/a
 
 Positive
16/0/0
n/a
 
n/a
 
CAIX in tumor
 
 
0.740
 
0.222
 Negative
520/49/45
126 (122 to 130)
 
130 (127 to 132)
 
 Positive
220/20/22
108 (102 to 113)
 
123 (117 to 130)
 
CAIX in stroma
 
 
0.927
 
0.496
 Negative
627/59/56
125 (122 to 129)
 
129 (126 to 132)
 
 Positive
113/10/11
103 (98 to 108)
 
116 (109 to 123)
 
ATP synthase in tumor
 
 
0.506
 
0.936
 Negative
30/4/3
102 (90 to 114)
 
129 (117 to 141)
 
 Positive
710/65/64
125 (122 to 129)
 
128 (126 to 131)
 
ATP synthase in stroma
 
 
0.783
 
0.398
 Negative
570/53/50
125 (121 to 129)
 
129 (126 to 132)
 
 Positive
170/16/17
118 (112 to 124)
 
122 (115 to 128)
 
Glutaminase in tumor
 
 
0.323
 
0.164
 Negative
219/24/25
123 (117 to 128)
 
126 (120 to 131)
 
 Positive
521/45/42
126 (122 to 130)
 
130 (127 to 133)
 
Glutaminase in stroma
 
 
0.554
 
0.596
 Negative
495/49/48
123 (119 to 128)
 
128 (125 to 131)
 
 Positive
245/20/19
127 (121 to 132)
 
128 (124 to 133)
 
BNIP3 in tumor
 
 
0.004
 
0.426
 Negative
504/59/50
123 (119 to 127)
 
128 (124 to 131)
 
 Positive
236/10/17
123 (119 to 127)
 
131 (126 to 135)
 
BNIP3 in stroma
 
 
0.191
 
0.973
 Negative
700/68/64
125 (121 to 128)
 
128 (126 to 131)
 
 Positive
40/1/3
116 (111 to 121)
 
121 (112 to 129)
 
MCT4 in tumor
 
 
0.550
 
0.451
 Negative
540/49/47
125 (121 to 129)
 
129 (126 to 132)
 
 Positive
200/20/20
116 (111 to 121)
 
126 (120 to 131)
 
MCT4 in stroma
 
 
0.673
 
0.262
 Negative
418/42/44
123 (118 to 127)
 
127 (123 to 131)
 
 Positive
322/27/23
128 (124 to 132)
 
130 (126 to 133)
 
Cytoplasmic beclin-1
 
 
0.169
 
0.566
 Negative
406/46/38
124 (119 to 128)
 
129 (126 to 132)
 
 Positive
334/23/29
121 (118 to 124)
 
126 (123 to 130)
 
Nuclear beclin-1
 
 
0.157
 
0.031
 Negative
666/66/66
125 (121 to 128)
 
128 (125 to 131)
 
 Positive
74/3/1
111 (106 to 115)
 
136 (132 to 139)
 
LC3A in tumor
 
 
0.085
 
0.299
 Negative
669/59/59
126 (122 to 129)
 
129 (126 to 132)
 
 Positive
71/10/8
113 (103 to 122)
 
124 (115 to 133)
 
LC3A in stroma
 
 
0.801
 
0.541
 Negative
687/65/64
125 (122 to 129)
 
128 (126 to 131)
 
 Positive
53/4/3
65 (62 to 68)
 
66 (64 to 68)
 
LC3B in tumor
 
 
0.990
 
0.271
 Negative
475/45/40
125 (121 to 130)
 
130 (127 to 133)
 
 Positive
265/24/27
118 (113 to 123)
 
125 (120 to 130)
 
LC3B in stroma
 
 
0.481
 
0.565
 Negative
688/66/64
125 (122 to 129)
 
128 (126 to 131)
 
 Positive
52/3/3
63 (60 to 66)
 
64 (62 to 66)
 
Cytoplasmic p62 in tumor
 
 
0.958
 
0.528
 Negative
274/26/23
121 (112 to 129)
 
129 (125 to 133)
 
 Positive
466/43/44
126 (122 to 130)
 
128 (125 to 131)
 
Nuclear p62 in tumor
 
 
0.210
 
0.646
 Negative
532/55/51
125 (122 to 129)
 
128 (125 to 131)
 
 Positive
208/14/16
117 (110 to 124)
 
128 (122 to 133)
 
Nuclear p62 in stroma
 
 
0.720
 
0.387
 Negative
512/48/45
126 (122 to 130)
 
129 (126 to 132)
 
 Positive
228/21/22
104 (99 to 109)
 
124 (118 to 130)
 
Tumor phenotype
 
 
<0.001
 
<0.001
 Luminal A
298/15/14
130 (126 to 133)
 
134 (131 to 137)
 
 Luminal B
166/12/11
129 (124 to 134)
 
130 (124 to 135)
 
 HER2
69/11/12
111 (100 to 121)
 
119 (108 to 130)
 
 TNBC
207/31/30
116 (109 to 124)
 
120 (114 to 126)
 
Metabolic status
 
 
0.037
 
0.045
 Warburg type
298/38/36
119 (112 to 126)
 
124 (119 to 128)
 
 Reverse Warburg type
54/6/5
90 (83 to 96)
 
113 (106 to 121)
 
 Mixed type
62/4/6
105 (100 to 111)
 
112 (99 to 126)
 
 Null type 326/21/20 129 (126 to 133)   132 (129 to 136)  

aBNIP3, BCL2/adenovirus E1B 19-kDa interacting protein 3; CAIX, carbonic anhydrase IX; Glut-1, glucose transporter 1; LC3A, microtubule-associated protein 1 light chain 3α; LC3B, microtubule-associated protein 1 light chain 3β; MCT4, monocarboxylate transporter 4; n/a, not applicable; TNBC, triple-negative breast cancer.

Figure 2.

Figure 2

Disease-free survival (a) and overall survival curves (b) according to the metabolic phenotypes of breast cancer.

Western blot analysis of metabolism-related proteins in tumor and stroma according to tumor phenotype

Western blot analysis was performed to investigate expression of metabolism-related proteins in tumor and stroma according to the tumor phenotype. The expression of Glut-1 and ATP synthase was higher in HER2 and TNBC types, and the expression was higher in tumor than in stroma (Figure  3). The expression of p62 was higher in tumor than stroma, regardless of the tumor phenotype.

Figure 3.

Figure 3

Expression of metabolism-related proteins in tumor and stroma assessed by Western blot analysis according to tumor phenotype. CAIX, carbonic anhydrase IX; GLS1, glutaminase 1; Glut-1, glucose transporter 1; LMA, luminal A; LMB, luminal B; LC3A, microtubule-associated protein 1 light chain 3α; MCT4, monocarboxylate transporter 4; S, stroma; T, tumor; TNBC, triple-negative breast cancer.

Discussion

In the present study, we investigated the differential expression of metabolism-related markers according to the subtypes of breast cancer. Expression of glycolysis markers such as Glut-1, CAIX and MCT-4 was highest in TNBC, which is consistent with the results of previous studies showing higher expression of Glut-1 and CAIX in basal-like breast cancer [19]. The active metabolic status of a tumor can be inferred from common histologic features of TNBC, such as high-grade nuclei, high-grade prominent necrosis and increased mitotic activity [20], and this was supported by the results of IHC in the present study. Tumor expression of Glut-1 was associated with higher histologic grade (P < 0.001), ER negativity (P < 0.001), higher T stage (P < 0.001), and higher Ki-67 LI (P < 0.001), whereas CAIX was associated with higher Ki-67 LI (P < 0.001). Tumor expression of MCT4 was associated with higher histologic grade (P < 0.001), ER negativity (P < 0.001), PR negativity (P < 0.001), higher T stage (P < 0.001) and higher Ki-67 LI (P < 0.001). In addition, expression of Glut-1, CAIX and MCT-4 was associated with factors reflecting higher metabolic status. In contrast, tumor expression of Glut-1, CAIX and MCT-4 was lowest in luminal A and B. Luminal type tumors tend to show a lower grade, lower mitotic index and less necrosis than the HER2 type or TNBC, suggesting nonactive metabolic status of the tumor, which was supported by the results of IHC.

The expression of Glut-1, CAIX, BNIP3, MCT4, LC3A, LC3B and p62 was observed not only in tumor cells but also in stromal cells, which has not been thoroughly described in previous studies. The reverse Warburg effect theory suggests that tumor stroma, along with the tumor per se, plays a role in cancer metabolism [2-5]. According to this theory, metabolism in stromal cells occurs through glycolysis due to dysfunctional mitochondria caused by increased autophagy, whereas metabolism of tumor cells occurs through OXPHOS in functional mitochondria. This contrasts with the conventional Warburg effect theory, which states that glycolysis is the major metabolic process in tumor cells. The major metabolic phenotypes in this study were the Warburg type (40.3%) and the null type (44.0%), according to the metabolic processes of tumor and stromal cells. We found that each metabolic phenotype investigated had different characteristics. The mixed type had higher histologic grade, ER negativity, PR negativity and higher Ki-67 LI, in contrast to the null type, which had lower histologic grade, ER positivity, PR positivity and Ki-67 LI (P < 0.001). As both tumor cells and stromal cells are glycolytic in the mixed type and nonglycolytic in the null type, we speculate that the mixed type is a group of tumors with high metabolic activity and that the null type consists of tumors with lower metabolic activity. The results of the present study show that the mixed type had the highest percentage of activated autophagy, whereas the null type had the lowest percentage, thus supporting this hypothesis. In addition, different molecular subtypes of breast cancer were classified into different metabolic types. TNBC constituted the highest percentage of Warburg type and mixed type, whereas the luminal A type constituted the highest percentage of reverse Warburg type and null type (P < 0.001). Moreover, the Warburg type and the mixed type were classified into groups with a higher Ki-67 LI, whereas the reverse Warburg type and the null type were classified into groups with a lower Ki-67 LI (P < 0.001). This result is consistent with those of a former study on the reverse Warburg effect in which a luminal A breast cancer cell line, MCF-7, was used for in vitro study [6]. Thus, further in vitro studies should be carried out with various cell lines showing different molecular subtypes.

We identified the expression of a mitochondrial metabolism-related protein such as ATP synthase and glutaminase in the tumor and stroma in the present study. Notably, stromal expression of ATP synthase and glutaminase was high in the reverse Warburg type and mixed type and low in the Warburg type and null type (P < 0.001). We speculate that stroma showing glycolysis have high mitochondrial metabolic activity, as both the reverse Warburg and mixed types are subtypes of the glycolysis type of stroma by definition. Because it has also been reported that certain types of tumor generate ATP through glycolysis as well as through mitochondrial OXPHOS, the hypothesis that dual types of stromal metabolism via the glycolysis pathway and the mitochondrial pathway should be investigated further.

The present study shows that the Warburg type and mixed type consisted of metabolically active and biologically aggressive tumors, whereas the reverse Warburg type and null type consisted of metabolically inactive and biologically nonaggressive tumors. This finding suggests that glycolysis of tumors significantly affects their metabolic and biological characteristics. The association of Glut-1 with shorter DFS and OS in univariate analysis supports this hypothesis.

A potential limitation of this study is the use of TMA cores for analysis, which may not truly represent the whole tumor. Although it is a reasonable contention, given the well-known intrinsic heterogeneity of breast cancer, this limitation was overcome by using two 3-mm tissue cores because it was previously reported that TMA with two 0.6-mm cores were representative of standard full tissue sections in breast cancer [21].

Among the breast cancer subtypes, TNBC comprised 28% of the total cases in this study, which is higher than the previously reported 12% to 24%. This difference can be attributed to possible differences in ethnic incidence, as reported previously, and to the overestimation of the true incidence potentially by the use of TMA containing part of the tumor, as we defined TNBC as all negative for ER, PR and HER2, which is similar to known phenomena of the discordance of ER, PR and HER2 expression between samples from core biopsy and excision [22-24]. Last, erroneous results of ER, PR and HER2 expression may affect the incidence, given that a 10% of false-negative rate and a 5% of false-positive rate were reported in ER expression, whereas a 4% of false-negative and false-positive cases were reported in HER2 [25]. Thus, cautious interpretation of the expression of those markers seems crucial, as misinterpretation of results may lead to the misclassification of the molecular subtypes.

Conclusion

Breast cancer is heterogeneous in its metabolic status, and therefore it can be classified into various metabolic phenotypes. Specifically, the Warburg and mixed types had strong associations with TNBC, whereas the reverse Warburg type and the null type were associated with the luminal type, suggesting a correlation between metabolic phenotype and the biology of breast cancer.

Abbreviations

ASCO: American Society of Clinical Oncology; CAF: Cancer-associated fibroblast; CAP: College of American Pathologists; FISH: Fluorescence in situ hybridization; H&E: Hematoxylin and eosin; LI: Labeling indices; NO: Nitric oxide; OXPHOS: Oxidative phosphorylation; ROS: Reactive oxygen species; TMA: Tissue microarray; TNBC: Triple-negative breast cancer.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

JC participated in the design of the study, performed the statistical analysis and drafted the manuscript. DHK carried out the immunoassays and Western blot analysis. WHJ participated in the study design. JSK conceived the study, participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.

Contributor Information

Junjeong Choi, Email: junjeong@yonsei.ac.kr.

Do Hee Kim, Email: dhkim01@yuhs.ac.

Woo Hee Jung, Email: jungwh96@yuhs.ac.

Ja Seung Koo, Email: kjs1976@yuhs.ac.

Acknowledgements

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education, Science and Technology (grant 2012R1A1A1002886).

References

  1. Warburg O. On the origin of cancer cells. Science. 1956;15:309–314. doi: 10.1126/science.123.3191.309. [DOI] [PubMed] [Google Scholar]
  2. Bonuccelli G, Tsirigos A, Whitaker-Menezes D, Pavlides S, Pestell RG, Chiavarina B, Frank PG, Flomenberg N, Howell A, Martinez-Outschoorn UE, Sotgia F, Lisanti MP. Ketones and lactate “fuel” tumor growth and metastasis: evidence that epithelial cancer cells use oxidative mitochondrial metabolism. Cell Cycle. 2010;15:3506–3514. doi: 10.4161/cc.9.17.12731. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Martinez-Outschoorn UE, Balliet RM, Rivadeneira DB, Chiavarina B, Pavlides S, Wang C, Whitaker-Menezes D, Daumer KM, Lin Z, Witkiewicz AK, Flomenberg N, Howell A, Pestell RG, Knudsen ES, Sotgia F, Lisanti MP. Oxidative stress in cancer associated fibroblasts drives tumor-stroma co-evolution: a new paradigm for understanding tumor metabolism, the field effect and genomic instability in cancer cells. Cell Cycle. 2010;15:3256–3276. doi: 10.4161/cc.9.16.12553. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Pavlides S, Tsirigos A, Vera I, Flomenberg N, Frank PG, Casimiro MC, Wang C, Fortina P, Addya S, Pestell RG, Martinez-Outschoorn UE, Sotgia F, Lisanti MP. Loss of stromal caveolin-1 leads to oxidative stress, mimics hypoxia and drives inflammation in the tumor microenvironment, conferring the “reverse Warburg effect”: a transcriptional informatics analysis with validation. Cell Cycle. 2010;15:2201–2219. doi: 10.4161/cc.9.11.11848. [DOI] [PubMed] [Google Scholar]
  5. Pavlides S, Whitaker-Menezes D, Castello-Cros R, Flomenberg N, Witkiewicz AK, Frank PG, Casimiro MC, Wang C, Fortina P, Addya S, Pestell RG, Martinez-Outschoorn UE, Sotgia F, Lisanti MP. The reverse Warburg effect: aerobic glycolysis in cancer associated fibroblasts and the tumor stroma. Cell Cycle. 2009;15:3984–4001. doi: 10.4161/cc.8.23.10238. [DOI] [PubMed] [Google Scholar]
  6. Martinez-Outschoorn UE, Pavlides S, Whitaker-Menezes D, Daumer KM, Milliman JN, Chiavarina B, Migneco G, Witkiewicz AK, Martinez-Cantarin MP, Flomenberg N, Howell A, Pestell RG, Lisanti MP, Sotgia F. Tumor cells induce the cancer associated fibroblast phenotype via caveolin-1 degradation: implications for breast cancer and DCIS therapy with autophagy inhibitors. Cell Cycle. 2010;15:2423–2433. doi: 10.4161/cc.9.12.12048. [DOI] [PubMed] [Google Scholar]
  7. Martinez-Outschoorn UE, Trimmer C, Lin Z, Whitaker-Menezes D, Chiavarina B, Zhou J, Wang C, Pavlides S, Martinez-Cantarin MP, Capozza F, Witkiewicz AK, Flomenberg N, Howell A, Pestell RG, Caro J, Lisanti MP, Sotgia F. Autophagy in cancer associated fibroblasts promotes tumor cell survival: role of hypoxia, HIF1 induction and NFκB activation in the tumor stromal microenvironment. Cell Cycle. 2010;15:3515–3533. doi: 10.4161/cc.9.17.12928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Zu XL, Guppy M. Cancer metabolism: facts, fantasy, and fiction. Biochem Biophys Res Commun. 2004;15:459–465. doi: 10.1016/j.bbrc.2003.11.136. [DOI] [PubMed] [Google Scholar]
  9. Moreno-Sánchez R, Rodríguez-Enríquez S, Marín-Hernández A, Saavedra E. Energy metabolism in tumor cells. FEBS J. 2007;15:1393–1418. doi: 10.1111/j.1742-4658.2007.05686.x. [DOI] [PubMed] [Google Scholar]
  10. Kwon JE, Jung WH, Koo JS. Molecules involved in epithelial–mesenchymal transition and epithelial–stromal interaction in phyllodes tumors: implications for histologic grade and prognosis. Tumour Biol. 2012;15:787–798. doi: 10.1007/s13277-011-0296-9. [DOI] [PubMed] [Google Scholar]
  11. Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, Zhu SX, Lønning PE, Børresen-Dale AL, Brown PO, Botstein D. Molecular portraits of human breast tumours. Nature. 2000;15:747–752. doi: 10.1038/35021093. [DOI] [PubMed] [Google Scholar]
  12. Sørlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn M, Jeffrey SS, Thorsen T, Quist H, Matese JC, Brown PO, Botstein D, Lønning PE, Børresen-Dale AL. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A. 2001;15:10869–10874. doi: 10.1073/pnas.191367098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Elston CW, Ellis IO. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology. 1991;15:403–410. doi: 10.1111/j.1365-2559.1991.tb00229.x. [DOI] [PubMed] [Google Scholar]
  14. Hammond ME, Hayes DF, Dowsett M, Allred DC, Hagerty KL, Badve S, Fitzgibbons PL, Francis G, Goldstein NS, Hayes M, Hicks DG, Lester S, Love R, Mangu PB, McShane L, Miller K, Osborne CK, Paik S, Perlmutter J, Rhodes A, Sasano H, Schwartz JN, Sweep FC, Taube S, Torlakovic EE, Valenstein P, Viale G, Visscher D, Wheeler T, Williams RB, Wittliff JL, Wolff AC. American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol. 2010;15:2784–2795. doi: 10.1200/JCO.2009.25.6529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Wolff AC, Hammond ME, Schwartz JN, Hagerty KL, Allred DC, Cote RJ, Dowsett M, Fitzgibbons PL, Hanna WM, Langer A, McShane LM, Paik S, Pegram MD, Perez EA, Press MF, Rhodes A, Sturgeon C, Taube SE, Tubbs R, Vance GH, van de Vijver M, Wheeler TM, Hayes DF. American Society of Clinical Oncology; College of American Pathologists. American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer. J Clin Oncol. 2007;15:118–145. doi: 10.1200/JCO.2006.09.2775. [DOI] [PubMed] [Google Scholar]
  16. Goldhirsch A, Wood WC, Coates AS, Gelber RD, Thürlimann B, Senn HJ. Panel members. Strategies for subtypes––dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol. 2011;15:1736–1747. doi: 10.1093/annonc/mdr304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Bellot G, Garcia-Medina R, Gounon P, Chiche J, Roux D, Pouysségur J, Mazure NM. Hypoxia-induced autophagy is mediated through hypoxia-inducible factor induction of BNIP3 and BNIP3L via their BH3 domains. Mol Cell Biol. 2009;15:2570–2581. doi: 10.1128/MCB.00166-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Zhang H, Bosch-Marce M, Shimoda LA, Tan YS, Baek JH, Wesley JB, Gonzalez FJ, Semenza GL. Mitochondrial autophagy is an HIF-1-dependent adaptive metabolic response to hypoxia. J Biol Chem. 2008;15:10892–10903. doi: 10.1074/jbc.M800102200. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  19. Pinheiro C, Sousa B, Albergaria A, Paredes J, Dufloth R, Vieira D, Schmitt F, Baltazar F. GLUT1 and CAIX expression profiles in breast cancer correlate with adverse prognostic factors and MCT1 overexpression. Histol Histopathol. 2011;15:1279–1286. doi: 10.14670/HH-26.1279. [DOI] [PubMed] [Google Scholar]
  20. Reis-Filho JS, Tutt AN. Triple negative tumours: a critical review. Histopathology. 2008;15:108–118. doi: 10.1111/j.1365-2559.2007.02889.x. [DOI] [PubMed] [Google Scholar]
  21. Camp RL, Charette LA, Rimm DL. Validation of tissue microarray technology in breast carcinoma. Lab Invest. 2000;15:1943–1949. doi: 10.1038/labinvest.3780204. [DOI] [PubMed] [Google Scholar]
  22. Park SY, Kim KS, Lee TG, Park SS, Kim SM, Han W, Noh DY, Kim SW. The accuracy of preoperative core biopsy in determining histologic grade, hormone receptors, and human epidermal growth factor receptor 2 status in invasive breast cancer. Am J Surg. 2009;15:266–269. doi: 10.1016/j.amjsurg.2007.11.024. [DOI] [PubMed] [Google Scholar]
  23. Chen X, Yuan Y, Gu Z, Shen K. Accuracy of estrogen receptor, progesterone receptor, and HER2 status between core needle and open excision biopsy in breast cancer: a meta-analysis. Breast Cancer Res Treat. 2012;15:957–967. doi: 10.1007/s10549-012-1990-z. [DOI] [PubMed] [Google Scholar]
  24. Badve SS, Baehner FL, Gray RP, Childs BH, Maddala T, Liu ML, Rowley SC, Shak S, Perez EA, Shulman LJ, Martino S, Davidson NE, Sledge GW, Goldstein LJ, Sparano JA. Estrogen- and progesterone-receptor status in ECOG 2197: comparison of immunohistochemistry by local and central laboratories and quantitative reverse transcription polymerase chain reaction by central laboratory. J Clin Oncol. 2008;15:2473–2481. doi: 10.1200/JCO.2007.13.6424. [DOI] [PubMed] [Google Scholar]
  25. Reddy JC, Reimann JD, Anderson SM, Klein PM. Concordance between central and local laboratory HER2 testing from a community-based clinical study. Clin Breast Cancer. 2006;15:153–157. doi: 10.3816/CBC.2006.n.025. [DOI] [PubMed] [Google Scholar]

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