Serum molecular signatures of weight change during early breast cancer chemotherapy.

Keun, H.C., Sidhu, J., Pchejetski, D., Lewis, J.S., Marconell, H., Patterson, M., Bloom, S.R., Amber, V., Coombes, R.C., Stebbing, J.
Journal   Clin Cancer Res.
Species  
Analytes Measured   IL-6
Matrix Tested   Serum
Year   2009
Volume   15
Page Numbers   6716-23
Application   Cytokines and Chemokines
Abstract
PURPOSE: Weight gain in women receiving chemotherapy for breast cancer is associated with a higher risk of recurrence but its mechanisms are poorly understood.

EXPERIMENTAL DESIGN: To investigate this, we assessed the metabolic, cytokine, and appetite-related peptide alterations during adjuvant chemotherapy for early breast cancer in postmenopausal women, and correlated these with body mass measurements. Specifically, we performed global metabolic profiling using (1)H-nuclear magnetic resonance spectroscopy of sequential sera, examined ghrelin immunoreactivity, RIAs for GLP-1 and peptide YY, and electrochemiluminescent cytokine analyses (tumor necrosis factor-alpha and interleukin-6) on sequential samples.

RESULTS: In those who gained >1.5 kg, several metabolite levels were positively associated with weight gain, specifically lactate, which was 63.5% greater in patients with increased body weight during chemotherapy compared with those with no weight gain (P < 0.01; the prespecified primary end point). A strong correlation (r = 0.7, P < 0.001) was detected between the rate of weight change and serum lactate levels, and on average, lactate levels exhibited the greatest metabolic response to chemotherapy, increasing by up to 75%. Normalized levels of peptide YY were also observed to be elevated in patients not gaining weight posttreatment (+30% compared with -7% for the weight gain group; P < 10(-4)). Baseline lactate, alanine, and body fat were all prognostic for weight gain (area under the receiver operator characteristic curves, >0.77; P < 0.05). No associations were observed between any other parameter and weight gain, including cytokine levels.

CONCLUSIONS: Metabonomics identifies excess energy expenditure pathways perturbed during chemotherapy for breast cancer, and establishes a significant association between serum lactate, body fat, and substantive weight gain during chemotherapy.

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6CKine/CCL21, BAFF, BCA-1/BLC, CD40/TNFRSF5, Eotaxin, EPO, GM-CSF, IFN-α, IFN-β, IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17A/F, IL-17C, IL-17E/IL-25, IL-17F, IL-21, IL-22, IL-23, IL-27p28/IL-30, IL-31, IL-33, IP-10, KC/GRO, MCP-1, MCP-5/CCL12, MDC, MIP-1α, MIP-1β, MIP-2, MIP-3α, MMP-9 (total), NGAL/LCN2, RANTES, SDF-1α, TARC, TNF-α, TNF-RI, VEGF-A | Mouse
Multiplex
U-PLEX CAR-T Cell Efficacy Combo 1 (human)
Granzyme B, IFN-γ, IL-2, IL-6, IL-12p70, IP-10, Perforin, TNF-α | Human
Multiplex
U-PLEX Immuno-Oncology Group 1 (human) 384-well Assays
BAFF-R/TNFRSF13C, BCMA/TNFRSF17, CD20, CD27, CD28, CD40L (soluble), CD276/B7-H3, CTACK, CTLA-4, ENA-78, Eotaxin, Eotaxin-2, Eotaxin-3, EPO, FGF (basic), FLT3L, Fractalkine, G-CSF, GITR/TNFRSF18, GITRL/TNFSF18, GM-CSF, gp130 (soluble), Granzyme A, Granzyme B, GRO-α, HAVCR2/TIM-3, I-309, IFN-α2a, IFN-β, IFN-γ, IL-1α, IL-1β, IL-1RA, IL-2, IL-2Rα, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17A/F, IL-17C, IL-17D, IL-17E/IL-25, IL-17F, IL-18, IL-21, IL-22, IL-23, IL-27, IL-29/IFN-λ1, IL-31, IL-33, IP-10, I-TAC, LAG3, MCP-1, MCP-2, MCP-4, M-CSF, MDC, MIF, MIP-1α, MIP-1β, MIP-5, OX40/TNFRSF4, PD1 (epitope 1), PD1 (epitope 2), PD-L1 (epitope 1), PD-L2, PlGF, RANKL/TNFSF11, Tie-2, TIGIT, TLR1, TNF-α, TNF-β, TPO, TRAIL, TSLP, VEGF-A, VEGF-D, YKL-40 | Human
Multiplex
U-PLEX Immuno-Oncology Group 1 (human) Assays
APRIL/TNFSF13, BAFF-R/TNFRSF13C, BCMA/TNFRSF17, CD20, CD27, CD28, CD40L (soluble), CD276/B7-H3, CTACK, CTLA-4, ENA-78, Eotaxin, Eotaxin-2, Eotaxin-3, EPO, E-Selectin, FGF (basic), FLT3L, Fractalkine, Galectin-9, G-CSF, GITR/TNFRSF18, GITRL/TNFSF18, GM-CSF, gp130 (soluble), Granzyme A, Granzyme B, GRO-α, HAVCR2/TIM-3, HVEM/TNFRSF14, I-309, ICOS, ICOS-L/B7-H2, IFN-α2a, IFN-β, IFN-γ, IL-1α, IL-1β, IL-1RA, IL-2, IL-2Rα, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17A/F, IL-17C, IL-17D, IL-17E/IL-25, IL-17F, IL-18, IL-21, IL-22, IL-23, IL-27, IL-29/IFN-λ1, IL-31, IL-33, IP-10, I-TAC, LAG3, LIGHT/TNFSF14, MCP-1, MCP-2, MCP-4, M-CSF, MDC, MIF, MIG, MIP-1α, MIP-1β, MIP-5, MMP-1, MMP-2, MMP-7, MMP-9 (total), Nectin-4, OX40/TNFRSF4, PD1 (epitope 1), PD1 (epitope 2), PD-L1 (epitope 1), PD-L1 (epitope 2), PD-L2, Pentraxin 3, Perforin, PlGF, proMMP-9, P-Selectin, RAGE (soluble), RANKL/TNFSF11, RANTES, S100A12, Tie-2, TIGIT, TLR1, TNF-α, TNF-β, TNF-RI, TNF-RII, TPO, TRAIL, TSLP, VEGF-A, VEGF-D, VEGFR-1/Flt-1, YKL-40 | Human
Multiplex
U-PLEX Immuno-Oncology Group 1 (human) Assays
APRIL/TNFSF13, BAFF-R/TNFRSF13C, BCMA/TNFRSF17, CD20, CD27, CD28, CD40L (soluble), CD276/B7-H3, CTACK, CTLA-4, ENA-78, Eotaxin, Eotaxin-2, Eotaxin-3, EPO, E-Selectin, FGF (basic), FLT3L, Fractalkine, Galectin-9, G-CSF, GITR/TNFRSF18, GITRL/TNFSF18, GM-CSF, gp130 (soluble), Granzyme A, Granzyme B, GRO-α, HAVCR2/TIM-3, HVEM/TNFRSF14, I-309, ICOS, ICOS-L/B7-H2, IFN-α2a, IFN-β, IFN-γ, IL-1α, IL-1β, IL-1RA, IL-2, IL-2Rα, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17A/F, IL-17C, IL-17D, IL-17E/IL-25, IL-17F, IL-18, IL-21, IL-22, IL-23, IL-27, IL-29/IFN-λ1, IL-31, IL-33, IP-10, I-TAC, LAG3, LIGHT/TNFSF14, MCP-1, MCP-2, MCP-4, M-CSF, MDC, MIF, MIG, MIP-1α, MIP-1β, MIP-5, MMP-1, MMP-2, MMP-7, MMP-9 (total), Nectin-4, OX40/TNFRSF4, PD1 (epitope 1), PD1 (epitope 2), PD-L1 (epitope 1), PD-L1 (epitope 2), PD-L2, Pentraxin 3, Perforin, PlGF, proMMP-9, P-Selectin, RAGE (soluble), RANKL/TNFSF11, RANTES, S100A12, Tie-2, TIGIT, TLR1, TNF-α, TNF-β, TNF-RI, TNF-RII, TPO, TRAIL, TSLP, VEGF-A, VEGF-D, VEGFR-1/Flt-1, YKL-40 | Human
Multiplex
Mouse IL-6 Antibody
IL-6
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