Conclusions
Our findings suggest that enhanced skeletal muscle insulin responsiveness in 37
cachectic tumor-bearing mice is due to anorexia-induced adaptations, highlighting AKT sig-38
naling as a key node connecting nutrient status to muscle glucose metabolism in cancer ca-39
chexia. 40
41
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
1. Introduction 42
Cancer cachexia is a multifactorial metabolic syndrome characterized by involuntary loss of 43
skeletal muscle mass, with or without concomitant fat loss, due to reduced appetite and sys-44
temic metabolic rewiring. Affecting up to 80% of patients with advanced cancer, cachexia con-45
tributes substantially to morbidity, treatment intolerance, mortality , and impairs quality of 46
life[1,2]. Systemic metabolic rewiring in cancer involves reduced i nsulin responsiveness in 47
skeletal muscle[3,4], possibly contributing to the pathogenesis of cachexia. However, the in-48
terplay between reduced food intake and cachexia -associated metabolic reprogramming re-49
mains poorly defined. Yet, it is central in delineating the mechanisms that drive cachexia and 50
in identifying treatment targets. 51
Skeletal muscle, being a major site of glucose disposal under insulin -stimulated conditions, is 52
likely to play a central role in the metabolic disturbances associated with cancer. Clinically, 53
cancer is often associated with systemic insulin resistance and impaired glucose tolerance in 54
patients[5–7] to a degree that is similar to the insulin resistance observed in patients with type 55
2 diabetes[8]. Accordingly, patients with cancer have a higher risk of developing type 2 diabe-56
tes after their diagnosis[9,10]. In the preclinical setting, weight-stable LLC-tumor-bearing mice 57
display impaired insulin tolerance and skeletal muscle insulin resistanc e[11–13]. Because in-58
sulin is an anabolic hormone, insulin resistance might contribute to cancer cachexia. This has 59
been indicated by some preclinical evidence showing that insulin resistance precedes cachexia 60
and that cachexia can be delayed by insulin sensitizers in a rat model of cachexia[14,15]. More-61
over, patients with cancer and diabetes display a greater weight loss compared to patients with 62
cancer but without diabetes[16]. Yet, cachectic patients did not exhibit insulin resistance , in 63
contrast to the general cancer patient population[7] and non-cachectic preclinical mouse tumor-64
bearing mice[11,12,17], as indicated by a recent systematic review and meta -analysis [18]. 65
Moreover, at basal conditions, cachectic mouse muscle was recently shown to have glucose 66
hypermetabolism[19]. Thus, it remains unclear whether cachexia is associated with altered in-67
sulin responsiveness, and potential mechanisms linking cancer cachexia with insulin action are 68
unresolved. 69
A key contributor to cachexia that could influence insulin action is the reduced food intake 70
associated with cancer cachexia . Anorexia in patients and tumor -bearing mice exacerbates 71
weight loss by limiting energy and nutrient availability, accelerating muscle and fat wasting , 72
but it is not the sole driver of cachexia [20–22]. However, reduced caloric intake itself can 73
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
significantly affect glucose metabolism[23–25], which could be a potential confounding factor 74
in interpreting metabolic outcomes in pre-clinical cancer cachexia models and in the clinic. 75
In this study, we aimed to investigate whole-body and skeletal muscle-specific glucose metab-76
olism across two models of pre-clinical cancer cachexia and how short-term cachexia-mimick-77
ing food restriction may be a confounding factor in the interpretation of the metabolic effect s 78
of cachexia. 79
2. Methods 80
2.1 Animal experiments 81
All experiments were approved by the Danish Animal Experimental Inspectorate (License: 82
2021-15-0201-01104 and 2021 -15-0201-01085). Mice were maintained under a 12:12 h 83
light/dark photocycle at ambient (22 ± 1 °C) temperature with nesting material. All mice re-84
ceived a rodent chow diet (Altromin no. 1324; Chr. Pedersen, Denmark) and water ad libitum. 85
Male mice were group -housed for cancer studies, and single -housed for the food -restriction 86
study. 87
2.2 Tumor-bearing mouse models 88
12-week-old male Balbc/J mice (Janvier, Denmark) were used for Colon26-cancer (C26) stud-89
ies, and 14-week-old male C57BL/6JBomTac (Taconic, Denmark) were used for KPC studies. 90
All mice were group-housed in pairs and randomly assigned to either the cancer or control 91
group. C26 adenocarcinoma cells ( kind gift from Dr. Adam Rose ) were maintained at 37°C, 92
5% CO2, in RPMI 1640 medium (Gibco, #11875093) supplemented with 10 % fetal bovine 93
serum (FBS, Gibco #F0804) and 1% antibiotic-antimycotic (ThermoFisher, #15140122). KPC 94
cells (CancerTools, #153474) were maintained at 37°C, 5% CO 2, in DMEM (Gibco, 95
#11965092) supplemented with 10 % FBS (Gibco #F0804) and 1% antibiotic -antimycotic 96
(ThermoFisher, #15140122). All mice were shaved on the right flank the day before cancer 97
inoculation. On the day of inoculation, C26 or KPC cells were trypsinized and wash ed twice 98
with PBS (centrifuged for 3 min at 1,600 g), followed by resuspension in PBS. Next, all mice 99
were injected subcutaneously into the flank with PBS with or without C26 or KPC cells for a 100
final concentration of 5x105 cells or 1x106, respectively. Mice were terminated when reaching 101
humane endpoints following the tumor guidelines from the Danish Animal Experimental In-102
spectorate (tumors >14 mm - average length and width or ulcerations >5 mm). C26-cancer 103
mice were divided into non-cachexia (tumor with no weight loss) or cachexia (tumor with 104
weight loss) groups. 105
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
2.3 Food restriction, pair-fed to cachectic C26 tumor-bearing mice 106
12-week-old male Balbc/J mice (Janvier, Denmark) were used for the pair-feeding study. All 107
mice were single-housed, and food intake was recorded daily during the last week of the ex-108
periment. The last three days, the food intake was reduced by approximately 30%, correspond-109
ing to what was observed in cachectic C26-cancer mice. 110
2.4 Body composition 111
Body mass composition was assessed by nuclear magnetic resonance using an EchoMRI ™ 112
(USA) or a Bruker LF90II Body Composition Analyser (Bruker) for total body, lean, and fat 113
mass. All mice were MRI scanned before cancer cell inoculation and the day before termina-114
tion. The tumor mass from dissections was subtracted from the total body weight and lean 115
mass. 116
2.5 Grip strength 117
Grip strength was assessed in the week before termination. Grip strength assessment was per-118
formed using a grip meter (Bioseb). The mice were held by the base of the tail and briefly left 119
to hover over the grid and allowed to grab with all four paws . Once grabbed, the mice were 120
gently pulled back in a horizontal position. This was repeated three times for each mouse, and 121
the maximal recording was used as final force readout. 122
2.6 Glucose tolerance test 123
All mice were fasted for 4 hours before the glucose tolerance test (GTT). D-mono-glucose (2g 124
kg−1 bw) was administered via intraperitoneal injections, and blood was collected from the tail 125
vein. Blood glucose levels were determined at timepoints 0, 20, 40, 60, 90, and 120 minutes 126
using a glucometer (Bayer Contour, Bayer, Switzerland). Blood aliquots from timepoints 0 and 127
20 min were centrifuged at 13,000 rpm for 5 minutes at 4 °C, and plasma was collected and 128
frozen in liquid nitrogen. Insulin levels were measured using the Mouse Ultrasensitive Insulin 129
ELISA (#80-INSMSU-E01ALPCO Diagnostics, USA). 130
2.7 Ex vivo insulin-stimulated glucose uptake 131
Soleus and extensor digitorum longus (EDL) muscles were rapidly isolated from anesthetized 132
mice, and non-absorbable 4–0 silk suture loops (Look SP116, Surgical Specialties Corporation) 133
were attached at both ends as previously described[12]. In brief, the muscles were placed in a 134
DMT Myograph system (820MS; Danish Myo Technology, Hinnerup, Denmark) and placed 135
under resting tension (4 -5 mN at 30°C) and oxygenated (95% O 2, 5% CO 2) Krebs -Ringer 136
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
buffer. Isolated muscles were pre-incubated in Krebs-Ringer buffer for 5 minutes, followed by 137
20 minutes of maximal insulin stimulation (60 nM). During the last 10 minutes, 0.75 µCi/mL 138
[3H]-2DG and 0.225 µCi/mL [14C] -Mannitol were added (including insulin) . Following the 139
insulin stimulation, muscles were immediately rinsed in ice-cold saline and snap-frozen. Mus-140
cle-specific 2DG-uptake was measured on tissue lysates[26]. 141
2.8 Lysate preparation and immunoblotting 142
Muscle tissues were homogenized in a modified GSK3 -buffer and prepared for immunoblot-143
ting as previously described in detail[17]. 144
2.9 Statistical analysis 145
Data are presented as mean ± SEM and individual data points (when applicable) and analyzed 146
using GraphPad Prism 10. Statistical tests were performed using paired/non‐paired t‐tests or 147
repeated/no‐repeated two‐way analysis of variance (ANOV A) as applicable. Multiple‐repeated 148
two‐way ANOV As were performed in analyses, including all experimental groups testing for 149
the effect of C26, KPC, or food restriction. Sidak's post hoc test was performed when ANOV A 150
revealed significant main effects and interactions. The significance level was set at α = 0.05. 151
3. Results 152
3.1 C26-cachectic mice exhibit improved glucose tolerance and elevated skeletal muscle 153
insulin-responsiveness ex vivo 154
We first determined classical manifestations of cachexia in the C26 -cancer model to establish 155
the effects of cachexia on glucose metabolism. Mice were divided into a control group (n=12), 156
a C26 non-cachectic group (n=6, 10% 157
weight loss) based on the weight loss at termination (Fig. 1A). The cachectic mice had a 20% 158
reduction in body mass 22 days after inoculation, while non-cachectic mice maintained their 159
body mass. Control mice had a minor body mass gain of 5% (Fig. 1B). Tumor size was approx-160
imately 80% larger in cachectic mice compared to non-cachectic mice (Fig. 1B). Similarly, 161
cachectic mice displayed a 15% reduction in lean body mass, whereas both non-cachectic and 162
control mice maintained lean body mass (Fig. 1C). Cachectic mice exhibited a 75% reduction 163
in fat mass, while non-cachectic (p=0.0510) and control mice exhibited a ~20% increase in fat 164
mass (Fig. 1D). 165
At termination, we weighed selected muscles and adipose tissues. Only cachectic mice had 166
lower weights for gastrocnemius (G ast, -17%), tibialis anterior (T . anterior , -18%), and 167
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
perigonadal adipose tissue (pWAT, -95%) compared to control mice. Heart tissue weights were 168
reduced in both tumor-bearing groups by 8% and 14% for non-cachectic and cachectic mice, 169
respectively. Brown adipose tissue (BAT) was 17% and 47% lower for non-cachectic and ca-170
chectic mice, respectively, compared to control mice. The spleen was similarly increased in 171
both tumor-bearing groups by approximately 100% (Fig. 1E), indicative of similar systemic 172
inflammatory burden despite marked differences in tumor mass and cachectic phenotype. De-173
spite no significant reduction in muscle weights, we detected a 17% reduction in grip strength 174
in non-cachectic mice, while cachectic mice showed a reduction of 27% compared to control 175
mice (Fig. 1F). Food intake was assessed three days prior to termination and a reduction (~40% 176
vs. controls) was observed exclusively in cachectic mice (Fig. 1G). 177
Considering the reports of glucose intolerance in mice with cancer[15], we performed a glucose 178
tolerance test 14 days after cancer inoculation to assess the effects of cachexia. Dividing C26 179
tumor-bearing mice into non-cachectic mice (tumor volume 700 mm³), we were surprised to observe increased glucose tolerance in the 181
cachectic mice compared to control and non-cachectic mice (Fig. 1H), contrasting previous 182
findings[11,27]. Glucose excursions during the GTT were inversely correlated with tumor vol-183
ume, potentially reflecting cachexia-associated metabolic remodeling or tumor glucose seques-184
tration (Fig. 1I). The observed changes in glucose tolerance were independent of glucose-stim-185
ulated plasma insulin (Fig. 1J). 186
Since skeletal muscle is the primary site for glucose disposal, we proceeded to determine insu-187
lin-stimulated glucose uptake in soleus and EDL ex vivo. In the soleus muscles, insulin led to 188
increased glucose uptake in all groups (Fig. 1K). However, cachectic mice showed ~80% 189
higher response to insulin non-cachectic and control mice (Fig. 1K). Similarly, in the EDL 190
muscle, cachectic mice shoed an 35-40% elevation in insulin response compared to non-ca-191
chectic and control mice (Fig. 1L). Thus, cachexia was associated with elevated insulin respon-192
siveness towards glucose uptake in mouse muscle. 193
Together, our results demonstrate that cachexia in C26 tumor-bearing mice was associated with 194
improved whole-body glucose tolerance and muscle insulin-stimulated glucose uptake concur-195
rently with muscle and fat mass loss. 196
3.3 The cachectic KPC tumor-bearing mice also display markedly elevated glucose toler-197
ance 198
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
Having observed elevated glucose tolerance in the C26 cachectic model, we next assessed glu-199
cose tolerance in another pre-clinical cachectic model, the KPC model (Fig. 1M). KPC tumor-200
bearing mice had an 8% lower body mass at termination compared to control mice, indicative 201
of cachexia (Fig. 1 N). Similarly, fat mass was 25% lower in cachectic mice at termination 202
compared to control mice (Fig. 1 O). Measurements of tissues at termination revealed that ca-203
chectic KPC mice had lower muscle and adipose tissue weight compared to control mice (Gast 204
-10% p=0.081, T. anterior -9%, quadriceps -11%, pWAT -30%, BAT -28%), while the spleen 205
weight was increased by 75% in cachectic mice (Fig. 1 P). On day 30 after inoculation, we 206
performed a glucose tolerance test, and similar to the observation in C26 tumor-bearing mice, 207
and in line with previous literature of the KPC model [28], KPC tumor-bearing mice had a 208
marked improvement in glucose tolerance (Fig. 1Q). The change in glucose tolerance was in-209
dependent of glucose-stimulated plasma insulin (Fig. 1R). Thus, two different pre-clinical ca-210
chectic mouse models exhibit ed elevated glucose tolerance , which could be, at least in part, 211
driven by elevated insulin-responsiveness in skeletal muscle of cachectic mice. 212
3.4 Elevated Akt signaling coincides with higher insulin-stimulated glucose uptake in C26 213
cachectic mice 214
After demonstrating an evidently higher muscle insulin responsiveness, we proceede d to in-215
vestigate intramyocellular insulin signaling (Fig. 2A). We found a reduction in protein contents 216
of Glucose transporter 4 (GLUT4) (-20%), Glycogen Synthase (-13%, p=0.057), Akt2 (-22%, 217
p=0.057), p70S6K ( -17%), and rS6 ( -29%, p=0.068) in C26 cachectic compared to control 218
mouse soleus muscle. In contrast, Hexokinase II, Pyruvate Dehydrogenase, TBC1D4, GSK3β, 219
and PRAS40 were unaffected (Fig. 2B). It is well known that insulin acts as an anabolic hor-220
mone to activate the Akt signaling pathway stimulating glucose uptake and glycogen synthesis 221
in skeletal muscle[29]. Thus, we investigated Akt phosphorylation and downstream targets in 222
response to insulin. In control and C26 non-cachectic mice, we observed a 2-fold and 2.5-fold 223
increase in phosphorylated (p) AKTthr308, respectively, in the insulin-stimulated soleus muscle. 224
Yet, in cachectic mice, there was a n even higher 4.4-fold increase by insulin compared to the 225
non-stimulated muscle (Fig. 2C). Correspondingly, pAKTser473 was increased by 3.8-fold upon 226
insulin stimulation in control and non-cachectic mice, while cachectic mice exhibited a remark-227
able 8.5 -fold increase (Fig. 2 D). Yet we observed a similar i ncrease (3.3- and 3.9 -fold) in 228
pTBC1D4thr642, a downstream target of AKT, in insulin-stimulated soleus muscle from non-229
cachectic and cachectic mice, respectively, compared to a 2.4 -fold increase in control mice 230
(Fig. 2E). 231
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
Thus, the elevated insulin-responsiveness in cachectic muscle exists despite a reduction of the 232
main glucose transporter (GLUT4), likely circumvented by elevated AKT signaling. 233
3.5 Glycogen and mTORC1 signaling are retained in insulin -stimulated soleus muscle 234
from C26 cachectic mice 235
Akt phosphorylates several downstream targets. In the insulin-stimulated soleus muscle from 236
cachectic mice, we found a higher increase in pGSKser9 (3.3-fold, Fig. 2F) and pGSKser21 (2.6-237
fold, Fig. 2G ) compared to control and non-cachectic mice (2.0 - and 1.8-fold, respectively). 238
PRAS40 is a direct downstream target of AKT during insulin stimulation[30,31]. We detected 239
an elevated abundance of pPRAS40 thr246 in insulin-stimulated cachectic soleus muscles (4.8 -240
fold), compared to both control and non-cachectic mice (3.3-fold) (Fig. 2H). Insulin-induced 241
activation of the mTORC1 signaling pathway has been widely implicated in the promotion of 242
muscle growth. Despite the presence of cachexia, mTORC1 signaling remained intact, shown 243
by increased p-p70S6Kthr389 (3.3-fold) and prS6ser235-236 (1.6-fold), which contrast previous re-244
sults in the cachectic ApcMin/+ mouse model showing reduced mTORC1 signaling after a glu-245
cose challenge[32]. Control mice exhibited increased p -p70S6Kthr389 (2.5-fold), but not 246
prS6ser235-236 (Fig. 2I and J). The parallel activation of PRAS40, p70S6K, and rS6 suggests that 247
anabolic signaling downstream of mTOR remained partially intact despite muscle wasting, in-248
dicating that cachectic muscle retains the capacity for insulin-induced anabolic responses under 249
these conditions. 250
3.6 Three days of food restriction lowers body weight, muscle mass, and fat mass in mice 251
We next sought to delineate the underlying contributors to enhanced insulin responsiveness . 252
Anorexia is a key contributor to the manifestations of cachexia, and lowered food intake is 253
known to impact metabolism[23–25]. We therefore executed a 3-day food restriction study ( -254
30%, mimicking the reduced food intake in C26 cachetic mice) in male BALB/cJ mice to assess 255
whether reduced food intake could explain the improved insulin responsiveness observed in 256
cachectic mice (Fig. 3A). First, we measured body weight daily and discovered that food-re-257
stricted mice lost 1.2g (-3,9%) body weight on average after 3 days, compared to control mice 258
who gained 0.7g (2.1%) body weight (Fig. 3B). We measured tissue weights and observed a 259
reduction in tissue weights of all skeletal muscles and adipose tissues upon food restriction (TA 260
-4%, Gast -7%, Quad -7%, iWAT -34%, pWAT -22%, BAT -23%, spleen -16%), while the heart 261
weight was similar (Fig. 3C). Despite lower muscle weights in food -restricted mice, grip 262
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
strength was unaffected (Fig. 3D) , indicating that anorexia may underlie some body weight 263
loss but does not compromise muscle function in tumor-bearing mice. 264
3.7 Glucose tolerance, muscle ex vivo insulin-stimulated glucose uptake and Akt signaling 265
in increased upon food restriction 266
To investigate if anorexia may underlie some of the improvements in glucose tolerance and 267
muscle insulin responsiveness, observed in cachetic C26 mice, we determined glucose toler-268
ance and muscle insulin reonsiveness in 3-day food-restricted Balb/c mice. Interestingly, food-269
restriction markedly improved glucose tolerance with a 56% reduction in iAUC compared to 270
ad libitum fed control mice (Fig. 3D). We then proceeded to determine ex vivo insulin-stimu-271
lated glucose uptake in the soleus muscles. We were intrigued to see that food -restricted mice 272
had a higher insulin response (30%) compared to control mice (Fig. 3F) . In line with our ob-273
servations in C26 cachectic mice, AKT signaling was elevated in food-restricted mice. This 274
was evidenced by, pAKTthr308 increasing 8-fold in response to insulin in food-restricted mice 275
compared to 5-fold in control mice (Fig. 3G). Likewise, pAKTser473 increased by 7-fold in re-276
sponse to insulin in food-restricted mice compared to 4-fold in control mice (Fig. 3H). In ad-277
dition, we found a 6-fold increase by insulin in pTBC1D4thr642 in food-restricted mice, which 278
was only increased by 3-fold in control mice (Fig. 3I). 279
Taken together, our findings show that reduced food intake is a potential driver of enhanced 280
glucose tolerance and skeletal muscle insulin responsiveness in cachectic C26 -cancer mice, 281
associated with enhanced Akt signaling. 282
4. Discussion 283
In this study, we investigated glucose metabolism and skeletal muscle insulin responsiveness, 284
using two distinct tumor models , C26 and KPC, and in pair-fed food-restricted mice. Our re-285
sults highlight three key discoveries. First, cachexia was associated with increased glucose tol-286
erance in both C26 - and KPC tumor-bearing mice. Second, cachectic, but not non -cachectic, 287
C26 mice exhibit elevated skeletal muscle insulin responsiveness associated with increased Akt 288
signaling. Third, food restriction , mimicking the lower food intake in C26 cachectic mice, 289
caused a metabolic phenotype phenocopying cachexia. These findings suggest that d ecreased 290
food intake contributes to elevated insulin -responsiveness in cancer cachexia, illuminating an 291
intriguing interplay between food intake and cachexia-associated metabolic reprogramming. 292
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
Our first key finding demonstrates that cachectic C26-tumor-bearing mice exhibited improved 293
glucose tolerance compared to non-cachectic mice, which was corroborated in cachectic KPC-294
tumor-bearing mice. Here, we identified a relationship between tumor burden and glucose tol-295
erance, with cachectic mice harboring significantly larger tumors. It is plausible that larger 296
tumors dispose more glucose during hyperglycemia, contributing to improvements in glucose 297
tolerance. A marked metabolic change in glucose utilization is supported by a recent study, 298
using isotopic tracers in C26 cachectic mice, showing that one-carbon metabolism was a tissue-299
overarching pathway characterized in wasting leading to glucose hypermetabolism[19]. How-300
ever, our second key finding highlights that cancer-associated cachexia is also accompanied by 301
elevated skeletal muscle insulin responsiveness . Thus, these data suggest that changes within 302
the skeletal muscle likely contribute to the enhanced glucose tolerance in cachectic mice. 303
In the soleus and EDL muscles, insulin responsiveness was markedly greater in cachectic com-304
pared to both control and non-cachectic tumor-bearing mice. This was observed despite a re-305
duction in protein content of the key glucose transporter during insulin stimulation, 306
GLUT4[33]. Yet, increased GLUT4 translocation to the muscle membrane was indicated by a 307
substantially elevation of phosphorylation AKT (Thr308 and Ser473) in response to insulin . 308
Thus, the current data support the idea of cancer cachexia being associated with elevated glu-309
cose tolerance and insulin responsiveness, although the molecular mechanisms remain to be 310
defined. 311
Our last key finding was that reduced food intake, mimicking food intake in cachexia, could 312
contribute to the increased insulin responsiveness in our cachectic mice as a compensatory 313
adaptation to nutrient limitation arising from anorexia and tissue loss. In our C26 model, only 314
cachectic mice had significantly reduced food intake (~40 %) with severe lean and fat mass 315
loss. In this context, improved insulin-stimulated glucose uptake in muscle may reflect height-316
ened responsiveness to insulin when exogenous glucose availability is limited, a phenomenon 317
reminiscent of the known effects of caloric restriction[34–36]. Notably, while improved insulin 318
sensitivity may initially represent a compensatory mechanism to preserve energy efficiency 319
during anorexia, chronic activation of this pathway in the face of cataboli c conditions such as 320
cachexia fails to prevent muscle loss. Underscoring this is our finding that cachexia-mimicking 321
food restriction alone did not alter muscle strength measured by grip strength in the current 322
study. Decreased grip strength was only observed in tumor-bearing mice and in both cachectic 323
and non-cachectic mice, in line with another study showing decreased muscle function in C26 324
before cachexia [37]. Accordingly, it is also known that decreased energy intake in cancer is 325
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
not the sole driver of cachexia [38,39]. Thus, while decreased food intake likely affects the 326
systemic metabolism in cancer cachexia, the pathology of cachexia is complex and involves 327
multiple factors[38]. 328
5. Conclusion 329
In summary, our study reveals that improved glucose tolerance and enhanced skeletal muscle 330
insulin responsiveness in cachectic C26-cancer mice are likely affected by anorexia-induced 331
adaptations. Our data highlight enhanced Akt signaling as a key node linking nutrient status to 332
skeletal muscle glucose metabolism during cancer progression. These findings challenge the 333
assumption that cachexia universally associates with insulin resistance and underscore the need 334
to consider both cancer type, cancer progression, and food intake when interpreting metabolic 335
outcomes in cancer. 336
Acknowledgement
337
We thank our colleagues at the Molecular Metabolism in Cancer and Aging Group, Faculty of 338
Health and Medical Sciences, University of Copenhagen, for profitable discussions on this 339
topic. We acknowledge the Rodent Metabolic Phenotyping Platform (RMPP) , Novo Nordisk 340
Foundation Center for Metabolic Research, University of Copenhagen, for the use of their fa-341
cilities. We also acknowledge Simon Bech Petersen, Department of Biomedical Sciences, Fac-342
ulty of Health and Medical Sciences, University of Copenhagen, for his assistance. Illustrations 343
were generated using Biorender.com (RRID:SCR_018361) and ©Inkscape. Graphs were gen-344
erated with GraphPad PRISM (RRID:SCR_002798). 345
CRediT: 346
Conceptualization: EF, LS, SHR 347
Data curation: EF, KWP, ZKJO, PP, JRK, LS, SHR 348
Formal analysis: EF, SHR 349
Funding acquisition: LS, SHR 350
Investigation: EF, KWP, ZKJO, PP, JRK, LS, SHR 351
Methodology: LS, SHR 352
Project administration: EF, LS, SHR 353
Resources: LS, SHR 354
Supervision: LS, SHR 355
Validation: EF, SHR 356
Visualization: EF, LS, SHR 357
Writing – original draft: EF, LS, SHR 358
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
Writing – review and editing: all authors 359
360
Funding: 361
362
SHR was funded by Independent Research Fund Denmark (2030 -00007A), the Lundbeck Foundation 363
(R380-2021-1451) and the Novo Nordisk Foundation ( NNF0101703). TCPP was funded by the 364
Lundbeck Foundation (R449-2023-1468) and the Novo Nordisk Foundation (NNF24OC0088823). JRK 365
was funded by Novo Nordisk Foundation ( 17SA0031406) and Independent Research Fund Denmark 366
(9058-00047B). 367
Competing interests: 368
KWP, JRK and LS are founders of Hercu ApS; no competing interests are declared. 369
Declaration of generative AI and AI-assisted technologies in the writing process. 370
Statement: During the preparation of this work, the authors used ChatGPT to do minor corrections and 371
shorten sentences. After using this tool/service, the authors reviewed and edited the content as needed 372
and we take full responsibility for the content of the published article. 373
Figure 1: C26 and KPC tumor-bearing mice exhibit improved glucose tolerance despite lowered 374
muscle and fat mass. A) Study design of the C26-cancer study. Mice were divided into three groups. 375
1) Control (n=12), 2) pre-cachectic (tumor, no weight loss, n=6), and 3) cachectic (tumor, weight loss, 376
n=9). B) Body mass and tumor mass. C) Magnetic Resonance Imaging -derived lean body mass. D) 377
Magnetic Resonance Imaging-derived fat mass. E) Tissue weights at termination from gastrocnemius 378
(Gast), tibialis anterior (T A), heart, perigonadal white adipose tissue (pWAT), brown adipose tissue 379
(BAT), and spleen. F) Grip strength measured on day 19-22 before termination. G) Food intake the last 380
three days before termination. H) Glucose tolerance test on day 14 after inoculation. C26-tumor-bearing 381
mice were divided into non-cachectic small tumors (700 mm3). 382
I) Pearson correlation analysis of tumor size and incremental area under the curve. J) Plasma insulin 383
levels from time -point 0 and 20 min during the glucose tolerance test. Of not, the sample number is 384
lower due to lack of plasma collected during the tolerance test. K) Ex vivo insulin-stimulated (60 nM) 385
glucose uptake in the soleus muscle. L) Ex vivo insulin-stimulated (60 nM) glucose uptake in the EDL 386
muscle. M) Study design of the KPC-cancer study. N) Body mass and tumor mass. O) Magnetic Reso-387
nance Imaging-derived fat mass. P) Tissue weights at termination from Gast, TA, quadriceps (Quad), 388
pWAT, BAT, and spleen. Q) Glucose tolerance test on day 30 after inoculation. R) Plasma insulin levels 389
from time-point 0 and 20 min during the glucose tolerance test. Abbreviation: C26 = Colon26, Con = 390
control, CC = cancer cachexia, Int = interaction, ME = main effect, AUC = area under the curve. Values 391
are shown as mean ± SEM, including individual values, and as mean ± SD when individual values are 392
not shown. Effect of C26 or KPC: *= p<0.05, **=p<0.01, ***=p<0.001. 393
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
Figure 2: Akt signaling likely drives improvements in ex vivo insulin-stimulated glucose transport. 394
A) Insulin-stimulated Akt signaling in skeletal muscle. B) Total protein content in the soleus muscle of 395
GLUT4 (Thermo Fisher Scientific , #PA1-1065), Hexokinase II ( Cell Signaling Technology, #2867), 396
Pyruvate dehydrogenase (D.G. Hardie (University of Dundee, Scotland)), Glycogen synthase (Gift from 397
Prof. Oluf Pedersen), Akt (Cell Signaling Technology, #3063), TBC1D4 (Abcam, ab189890), GSK3β 398
(BD Bioscience , # 610202), PRAS40 ( Cell Signaling Technology, #2691 ), p70S6K ( Cell Signaling 399
Technology, #2708), rS6 (Cell Signaling Technology, #2217). Protein content is displayed in arbitrary 400
units (AU). Immunoblotting of phosphorylated (p) proteins in the soleus muscle of: C) pAKTThr308 (CST, 401
cat#9271), D) pAKTSer473 (CST, cat#9271), E) pTBC1D4thr642 (Cell Signaling Technology, #8881), F) 402
pGSK3ser9 (Cell Signaling Technology, #9331), G) pGSK3ser21 (Cell Signaling Technology, #9331), H) 403
pPRAS40thr246 (Cell Signaling Technology, #2997 ), I) p-p70S6Kthr389 (Cell Signaling Technology, 404
#9205), J) prS6ser235-236 (Cell Signaling Technology, #2211). Representative blots are represented with 405
Coomassie staining as a loading control. V alues are shown as mean ± SEM, including individual values. 406
Effect of C26: *= p<0.05, **=p<0.01, ***=p<0.001. 407
Figure 3: Three days of food restriction in mice improves glucose tolerance, ex vivo insulin-stim-408
ulated glucose transport in soleus, and enhances Akt signaling. A) Study design of the food re-409
striction study. B) Body weight measured during the food restriction period. C) Tissue weights at ter-410
mination from TA, Gast, Quad, heart, inguinal white adipose tissue (iWAT), pWA T, BAT, and spleen. 411
D) Grip strength measured after 3 days of food restriction. G) Glucose tolerance test and incremental 412
area under the curve (iAUC) after three days of food restriction. F) Ex vivo insulin-stimulated (60 nM) 413
glucose uptake in the soleus muscle. Immunoblotting of phosphorylated proteins in the soleus muscle 414
of: C) pAKTThr308 (Cell Signaling Technology, cat#9271), D) pAKTSer473 (Cell Signaling Technology, 415
cat#9271), E) pTBC1D4thr642 (Cell Signaling Technology, #8881). Values are shown as mean ± SEM, 416
including individual values, and as mean ± SD when individual values are not shown. Effect of 3-days 417
food restriction: *= p<0.05, **=p<0.01, ***=p<0.001. 418
419
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
References
420
[1] Fearon, K., Strasser, F., Anker, S.D., Bosaeus, I., Bruera, E., Fainsinger, R.L., et al., 2011. Defi 421
nition and classifi cation of cancer cachexia: an international consensus. Www.Thelan-422
cet.Com/Oncology 12: 489–95, Doi: 10.1016/S1470. 423
[2] Baracos, V .E., Martin, L., Korc, M., Guttridge, D.C., Fearon, K.C.H., 2018. Cancer-associated 424
cachexia. Nature Reviews Disease Primers, Doi: 10.1038/nrdp.2017.105. 425
[3] Dev, R., Bruera, E., Dalal, S., 2018. Insulin resistance and body composition in cancer pa-426
tients. Annals of Oncology 29: ii18–26, Doi: 10.1093/annonc/mdx815. 427
[4] Màrmol, J.M., Carlsson, M., Raun, S.H., Grand, M.K., Sørensen, J., Lang Lehrskov, L., et al., 428
2023. Insulin resistance in patients with cancer: a systematic review and meta-analysis. Acta 429
Oncologica (Stockholm, Sweden) 62(4): 364–71, Doi: 10.1080/0284186X.2023.2197124. 430
[5] Tayek, J.A., 1992. A review of cancer cachexia and abnormal glucose metabolism in humans 431
with cancer. Journal of the American College of Nutrition 11(4): 445–56, Doi: 432
10.1080/07315724.1992.10718249. 433
[6] Chiefari, E., Mirabelli, M., La Vignera, S., Tanyolaç, S., Foti, D.P., Aversa, A., et al., 2021. In-434
sulin resistance and cancer: In search for a causal link. International Journal of Molecular Sci-435
ences, Doi: 10.3390/ijms222011137. 436
[7] Màrmol, J.M., Carlsson, M., Raun, S.H., Grand, M.K., Sørensen, J., Lang Lehrskov, L., et al., 437
2023. Insulin resistance in patients with cancer: a systematic review and meta-analysis. Acta 438
Oncologica 62(4): 364–71, Doi: 10.1080/0284186X.2023.2197124. 439
[8] Tam, C.S., Xie, W., Johnson, W.D., Cefalu, W.T., Redman, L.M., Ravussin, E., 2012. Defining 440
insulin resistance from hyperinsulinemic-euglycemic clamps. Diabetes Care 35(7): 1605–10, 441
Doi: 10.2337/DC11-2339. 442
[9] Sylow, L., Grand, M.K., von Heymann, A., Persson, F., Siersma, V ., Kriegbaum, M., et al., 443
2022. Incidence of New-Onset Type 2 Diabetes After Cancer: A Danish Cohort Study. Diabe-444
tes Care 45(6): e105–6, Doi: 10.2337/DC22-0232. 445
[10] Hwangbo, Y ., Kang, D., Kang, M., Kim, S., Lee, E.K., Kim, Y .A., et al., 2018. Incidence of 446
Diabetes After Cancer Development: A Korean National Cohort Study. JAMA Oncology 4(8): 447
1099, Doi: 10.1001/JAMAONCOL.2018.1684. 448
[11] Han, X., Raun, S.H., Carlsson, M., Sjøberg, K.A., Henriquez-Olguín, C., Ali, M., et al., 2020. 449
Cancer causes metabolic perturbations associated with reduced insulin-stimulated glucose up-450
take in peripheral tissues and impaired muscle microvascular perfusion. Metabolism: Clinical 451
and Experimental 105, Doi: 10.1016/j.metabol.2020.154169. 452
[12] Raun, S.H., Knudsen, J.R., Han, X., Jensen, T.E., Sylow, L., 2022. Cancer causes dysfunc-453
tional insulin signaling and glucose transport in a muscle-type-specific manner. FASEB Jour-454
nal 36(3), Doi: 10.1096/fj.202101759R. 455
[13] Counts, B.R., Halle, J.L., Carson, J.A., 2022. Early Onset Physical Inactivity and Metabolic 456
Dysfunction in Tumor-bearing Mice Is Associated with Accelerated Cachexia. Medicine and 457
Science in Sports and Exercise 54(1): 77, Doi: 10.1249/MSS.0000000000002772. 458
[14] Asp, M.L., Tian, M., Kliewer, K.L., Belury, M.A., 2011. Rosiglitazone delayed weight loss and 459
anorexia while attenuating adipose depletion in mice with cancer cachexia. Cancer Biology & 460
Therapy 12(11): 957–65, Doi: 10.4161/cbt.12.11.18134. 461
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
[15] Asp, M.L., Tian, M., Wendel, A.A., Belury, M.A., 2010. Evidence for the contribution of insu-462
lin resistance to the development of cachexia in tumor-bearing mice. International Journal of 463
Cancer 126(3): 756–63, Doi: 10.1002/ijc.24784. 464
[16] Chovsepian, A., Prokopchuk, O., Petrova, G., Gjini, T., Kuzi, H., Heisz, S., et al., 2023. Diabe-465
tes increases mortality in patients with pancreatic and colorectal cancer by promoting cachexia 466
and its associated inflammatory status. Molecular Metabolism 73, Doi: 467
10.1016/j.molmet.2023.101729. 468
[17] Raun, S.H., Ali, M.S., Han, X., Henríquez-Olguín, C., Pham, T.C.P., Meneses-Valdés, R., et 469
al., 2023. Adenosine monophosphate-activated protein kinase is elevated in human cachectic 470
muscle and prevents cancer-induced metabolic dysfunction in mice. Journal of Cachexia, Sar-471
copenia and Muscle 14(4): 1631–47, Doi: 10.1002/jcsm.13238. 472
[18] Sørensen, J., Hammershøi, A., Màrmol, J.M., Lehrskov, L.L., Nørgaard, O., Sylow, L., 2025. 473
Revisiting insulin resistance in human cancer cachexia – a systematic review and meta-analy-474
sis, Doi: 10.1101/2025.03.28.25324822. 475
[19] Morigny, P ., V ondrackova, M., Ji, H., Brejchova, K., Krakovkova, M., Makris, K., et al., 2026. 476
Multi-omics profiling of cachexia-targeted tissues reveals a spatio-temporally coordinated re-477
sponse to cancer. Nature Metabolism, Doi: 10.1038/s42255-025-01434-3. 478
[20] Yeom, E., Yu, K., 2022. Understanding the molecular basis of anorexia and tissue wasting in 479
cancer cachexia. Experimental and Molecular Medicine: 426–32, Doi: 10.1038/s12276-022-480
00752-w. 481
[21] Ezeoke, C.C., Morley, J.E., 2015. Pathophysiology of anorexia in the cancer cachexia syn-482
drome. Journal of Cachexia, Sarcopenia and Muscle: 287–302, Doi: 10.1002/jcsm.12059. 483
[22] Amitani, M., Asakawa, A., Amitani, H., Inui, A., 2013. Control of food intake and muscle 484
wasting in cachexia. International Journal of Biochemistry and Cell Biology: 2179–85, Doi: 485
10.1016/j.biocel.2013.07.016. 486
[23] Fu, J., Liu, S., Li, M., Guo, F., Wu, X., Hu, J., et al., 2024. Optimal fasting duration for mice as 487
assessed by metabolic status. Scientific Reports 14(1), Doi: 10.1038/s41598-024-72695-3. 488
[24] Anson, R.M., Guo, Z., De Cabo, R., Iyun, T., Rios, M., Hagepanos, A., et al., 2003. Intermit-489
tent fasting dissociates beneficial effects of dietary restriction on glucose metabolism and neu-490
ronal resistance to injury from calorie intake. Proc Natl Acad Sci 100(10), Doi: 491
10.1073/pnas.1035720100. 492
[25] Kalant, N., Stewart, J., Kaplan, R., 1988. Effect of diet restriction on glucose metabolism and 493
insulin responsiveness in aging rats. Mechanisms of Ageing and Development 46(1–3): 89–494
104, Doi: 10.1016/0047-6374(88)90117-0. 495
[26] Raun, S.H., Henriquez-Olguín, C., Karavaeva, I., Ali, M., Møller, L.L. V ., Kot, W., et al., 2020. 496
Housing temperature influences exercise training adaptations in mice. Nature Communications 497
11(1): 1560, Doi: 10.1038/s41467-020-15311-y. 498
[27] Irazoki, A., Frank, E., Cam Phung Pham, T., Braun, J.L., Ehrlich, A.M., Haid, M., et al., 2025. 499
Journal of Cachexia, Sarcopenia and Muscle Housing Temperature Impacts the Systemic and 500
Tissue-Specific Molecular Responses to Cancer in Mice. Journal of Cachexia, Sarcopenia and 501
Muscle 16: 13781, Doi: 10.1002/jcsm.13781. 502
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
[28] Pasquale, V ., Dugnani, E., Liberati, D., Marra, P ., Citro, A., Canu, T., et al., 2019. Glucose me-503
tabolism during tumorigenesis in the genetic mouse model of pancreatic cancer. Acta Diabeto-504
logica 56(9): 1013–22, Doi: 10.1007/s00592-019-01335-4. 505
[29] Sylow, L., Tokarz, V .L., Richter, E.A., Klip, A., 2021. The many actions of insulin in skeletal 506
muscle, the paramount tissue determining glycemia. Cell Metabolism: 758–80, Doi: 507
10.1016/j.cmet.2021.03.020. 508
[30] Sancak, Y ., Thoreen, C.C., Peterson, T.R., Lindquist, R.A., Kang, S.A., Spooner, E., et al., 509
2007. PRAS40 Is an Insulin-Regulated Inhibitor of the mTORC1 Protein Kinase. Molecular 510
Cell 25(6): 903–15, Doi: 10.1016/j.molcel.2007.03.003. 511
[31] Haar, E. Vander., Lee, S., Bandhakavi, S., Griffin, T.J., Kim, D.-H., 2007. Insulin signalling to 512
mTOR mediated by the Akt/PKB substrate PRAS40. Nature Cell Biology 9(3): 316–23, Doi: 513
10.1038/ncb1547. 514
[32] White, J.P., Puppa, M.J., Gao, S., Sato, S., Welle, S.L., Carson, J.A., 2013. Muscle mTORC1 515
suppression by IL-6 during cancer cachexia: a role for AMPK. American Journal of Physiol-516
ogy-Endocrinology and Metabolism 304(10): E1042–52, Doi: 10.1152/ajpendo.00410.2012. 517
[33] Huang, S., Czech, M.P., 2007. The GLUT4 Glucose Transporter. Cell Metabolism 5(4): 237–518
52, Doi: 10.1016/j.cmet.2007.03.006. 519
[34] Silvestre, M.F.P., Viollet, B., Caton, P.W., Leclerc, J., Sakakibara, I., Foretz, M., et al., 2014. 520
The AMPK-SIRT signaling network regulates glucose tolerance under calorie restriction con-521
ditions. Life Sciences 100(1): 55–60, Doi: 10.1016/j.lfs.2014.01.080. 522
[35] Sequea, D.A., Sharma, N., Arias, E.B., Cartee, G.D., 2012. Calorie restriction enhances insu-523
lin-stimulated glucose uptake and akt phosphorylation in both fast-twitch and slow-twitch 524
skeletal muscle of 24-month-old rats. Journals of Gerontology - Series A Biological Sciences 525
and Medical Sciences 67(12): 1279–85, Doi: 10.1093/gerona/gls085. 526
[36] Gazdag, A.C., Dumke, C.L., Kahn, C.R., Cartee, G.D., 1930. Calorie Restriction Increases In-527
sulin-Stimulated Glucose Transport in Skeletal Muscle From IRS-1 Knockout Mice. vol. 48. 528
[37] Delfinis, L.J., Bellissimo, C.A., Gandhi, S., DiBenedetto, S.N., Garibotti, M.C., Thuhan, A.K., 529
et al., 2022. Muscle weakness precedes atrophy during cancer cachexia and is linked to mus-530
cle-specific mitochondrial stress. JCI Insight 7(24), Doi: 10.1172/jci.insight.155147. 531
[38] Berriel Diaz, M., Rohm, M., Herzig, S., 2024. Cancer cachexia: multilevel metabolic dysfunc-532
tion. Nature Metabolism 6(12): 2222–45, Doi: 10.1038/s42255-024-01167-9. 533
[39] Tisdale, M.J., 1997. Biology of Cachexia. JNCI Journal of the National Cancer Institute 534
89(23): 1763–73, Doi: 10.1093/jnci/89.23.1763. 535
536
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
BA C
D F GE
IH
M N O
P Q R
J
K L
Con Non-CC CC
0
2
4
6
Food intake
Last 3 days prior to terminationg
###
Con Non-CC CC
0
1
2
3
Grip strength
N (m/s 2)
# ###
Pre Post Pre Post Pre Post
0
1
2
3
4
Pre Post Pre Post Pre Post
0
1
2
3
4
Fat mass
g
Con Non-CC CC
***
***
###
Pre Post Pre Post Pre Post
0
20
25
30
35
Pre Post Pre Post Pre Post
0
20
25
30
35
Body mass
g (excl. tumor)
Con Non-CC CC
***
###
***
0
1
2
3
Tumor
g
#
Non-CC CC
Gast TA
Heart pWAT BAT
Spleen
0
200
400
600
800
Tissue weight
mg #
###
###
###
###
###
#
###
#
Pre Post Pre Post Pre Post
0
15
20
25
30
Pre Post Pre Post Pre Post
0
15
20
25
30
Lean body mass
g (excl. tumor)
Con Non-CC CC
###
***
400 800 1200
0
100
200
300
400
500
Pearson correlation
Tumor Volume (mm3)
incremental AUC
r2=0.5173
p=0.01906
Gast Quad pWAT BAT
Spleen
0
200
400
600
800
Tissue weight
mg
p=0.086
#
#
#
##
##
TA
Gram
Pre Post Pre Post
0
2
4
6
8
Fat mass
g
Int, KPC x Time: p>0.01
ME, KPC: p=0.078 ###
***
Body weight
Gram
Pre Post Pre Post
0
25
30
35
40
Body mass
g (excl. tumor)
ME, KPC: p=0.078
#
KPC
0
500
1000
1500
Tumor
mg
0 20 40 60 80 100 120
0
5
10
15
20
Glucose tolerance
Time (min)
mM
Control
KPC###
### ##
Int, KPC x time: p<0.001
ME, KPC: p<0.01
Control
Balb/cJ
C26 or vehicle
Con
Non-CC
CC
Cachexia
Non-
cachexia
Tumor,
no weight loss
Tumor,
weight loss
No tumor
Control
C57bl6J
KPC or vehicle
Con
KPCCachexia
Tumor,
weight loss
No tumor
0
10
20
30
40
50
Bas Ins Bas Ins Bas Ins
0
10
20
30
40
50
Soleus
µmol/g/h
Con Non-CC CC
***
###
*
**
###Int, Group x Ins: p<0.001
ME, Ins: p<0.001
0
10
20
30
Bas Ins Bas Ins Bas Ins
0
10
20
30
EDL
µmol/g/h
***
##
******
###
#
Con Non-CC CC
ME, Group: p<0.01
ME, Ins: p<0.001
Body weight
Gram
0 min 20 min 0 min 20 min
0.0
0.5
1.0
1.5
2.0
Plasma insulin
ng/ml
ME, Time: p<0.001
** *
Non-CC CC
0 min20 min 0 min20 min 0 min20 min
0
1
2
3
4
5
0 min 20 min 0 min 20 min 0 min 20 min
0
1
2
3
4
5
Plasma Insulin
ng/ml
Con
0
0
4
8
12
Glucose tolerance
Time (min)
mM
Control
Non-cachectic (average tumor: 623mm3)
9020 40 60
ME, C26: p<0.01
Int, C26 x time: p<0.001
##
##
#
Cachectic (average tumor: 1044mm3)
Insulin-stimulated
glucose uptake
Ex vivo
ME, time: p<0.01
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
BA
C D
F G
E
Bas Ins Bas Ins Bas Ins
0
2
4
6
8
10
Bas Ins Bas Ins Bas Ins
0
2
4
6
8
10
pAKTthr308
Band intensity (AU)
Con Pre-CC CC
***
###
**
**
###
Bas Ins Bas Ins Bas Ins
0
2
4
6
8
10
Bas Ins Bas Ins Bas Ins
0
2
4
6
8
10
pTBC1D4thr642
Band intensity (AU)
Con Pre-CC CC
***
***
***
###
Bas Ins Bas Ins Bas Ins
0
5
10
15
Bas Ins Bas Ins Bas Ins
0
5
10
15
pAKTser473
Band intensity (AU)
Con Pre-CC CC
***
###
*****
###
Bas Ins Bas Ins Bas Ins
0
2
4
6
8
10
Bas Ins Bas Ins Bas Ins
0
2
4
6
8
10
pGSK3ser9
Band intensity (AU)
Con Pre-CC CC
***
###
*****
###
Bas Ins Bas Ins Bas Ins
0
1
2
3
4
5
Bas Ins Bas Ins Bas Ins
0
1
2
3
4
5
pGSK3ser21
Band intensity (AU)
Con Pre-CC CC
***
##
*****
###
H
Bas Ins Bas Ins Bas Ins
0
2
4
6
8
10
Bas Ins Bas Ins Bas Ins
0
2
4
6
8
10
pPRAS40thr246
Band intensity (AU)
Con Pre-CC CC
***
##
******
###
I
Bas Ins Bas Ins Bas Ins
0
2
4
6
8
Bas Ins Bas Ins Bas Ins
0
2
4
6
8
p-p70S6Kthr389
Band intensity (AU)
Con Pre-CC CC
***
***
p=0.0503
GLUT4
Hexokinase II
Pyruvate dehydrogenase
Glycogen Synthase
AKT2
TBC1D4 GSK3β PRAS40 p70S6K
rS6
0
1
2
3
Total protein content
soleus muscle
# p=0.057
p=0.075
#
p=0.068
Band intensity (AU)
J
Bas Ins Bas Ins Bas Ins
0
1
2
3
4
Bas Ins Bas Ins Bas Ins
0
1
2
3
4
prS6ser235-236
Band intensity (AU)
Con Pre-CC CC
**
Glucose
uptake
Glycogen
synthesis
Protein
synthesis
Insulin
stimulation
thr246
thr389 thr642
ser235-236
ser9
ser21
ser473thr308
mTORC1
Akt
p70S6K TBC1D4
rpS6
GSK3
PRAS40
kDa
pAKT
Ser473
pAKT
Thr308
β-Ser9
α-Ser21
Coomassie Stain
(loading control)
pTBC1D4
Thr642
AKT2
GSK3
GSK3β
TBC1D4
60
50
50
60
60
160
160
Con
BAS INS
Pre-CC
BAS INS
Con
BAS INS
CC
BAS INS
kDa
Coomassie Stain
(loading control)
Glycogen
Synthase
Hexokinase II
Pyruvate
dehydrogenase
GLUT4
90
100
40
50
Con
BAS INS
Pre-CC
BAS INS
Con
BAS INS
CC
BAS INS
kDa
PRAS40
pPRAS40
Ser246
p-rS6
Ser235
Coomassie Stain
(loading control)
p-p70S6K
Thr389
p70S6K
rS6
40
40
70
70
35
35
Con
BAS INS
Pre-CC
BAS INS
Con
BAS INS
CC
BAS INS
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint
0 1 2 3
-2
-1
0
1
Body mass
Day
g
AL
3-day FR
###
###
###
**
Int, FR x time: p<0.01
ME, FR : p<0.001
***
***
******
*
3-day FR
Food intake
30%
reduction
AL
0
2
4
6
8gram/day
0 20 40 60 80 100
0
5
10
15
20
Glucose tolerance
Min
mM
AL
3-day FR
###
### ###
###
Int, FR x time: p<0.01
ME, FR : p<0.001
AL 3-day FR
0
250
500
750
1000
iAUC
AU
##
AL 3-day FR
0
1
2
3
Grip Strength
N (m/s2)
NS
GastTA Quad Heart iWAT pWAT BAT Spleen
0
10
20
30
Tissue weight
mg tissue/BM at Day 0
AL
3-day FR
NS##
##
###
###
###
##
###
Control 3-day FRBAS INS BAS INS
0
25
50
75
100
Soleus
Glucose transport
µmol/g/h
***
***
##
Int, FR x Ins: p<0.01
ME, Ins: p<0.001
BAS INS BAS INSBAS INS BAS INS
0
6
12
18
Soleus
pAKT Thr308
Band Intensity (AU)
***
***
#
Int, FR x Ins: p<0.05
ME, Ins: p<0.001
BAS INS BAS INSBAS INS BAS INS
0
6
12
18
Soleus
pAKT Ser473
Band Intensity (AU)
***
***
p=0.058
Int, FR x Ins: p=0.073
ME, Ins: p<0.001
BAS INS BAS INSBAS INS BAS INS
0
4
8
12
Soleus
pTBC1D4 Thr642
Band Intensity (AU)
***
***
#
Int, FR x Ins: p<0.05
ME, Ins: p<0.001
kDaBAS
pAKT Thr308
pAKT Ser473
AKT2
pTBC1D4 Thr642
TBC1D4
Coomassie Stain
(loading control)
3-day FR
60
60
60
160
160
Ad Lib
INS BAS INS
A B C
D E F
G H I
Ad libitum (AL)
food intake
3-day food restriction
(FR) (-30%), pair-fed to
C26 cachectic mice
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 15, 2026. ; https://doi.org/10.64898/2026.03.12.711318doi: bioRxiv preprint