Back

A mixture of plant polyphenols unexpectedly aggravates liver metastasis of colorectal cancer in mice

Erdem, M.; Roth, J. A.; Knobloch, J.; Nolting, J.; Hatten, H.; Sahin, E.; Schoen, F.; Halbfeld, S.; Treichel, N. S.; Clavel, T.; Buelow, R. D.; Liedtke, C.; Cramer, T.

2026-02-17 cancer biology
10.64898/2026.02.15.703962 bioRxiv
Show abstract

Epidemiological studies suggest that vegetarian diets are associated with lower cancer incidence and mortality, an effect attributed in part to phytochemicals such as polyphenols and carotenoids. Although numerous in vitro experiments and investigations using immunodeficient rodent models report tumor-suppressive activities of phytochemicals, their impact on tumor progression in immunocompetent hosts remains insufficiently understood. Here, we examined the influence of a defined plant phytochemical mixture (PPM) on the growth of colon cancer liver metastases, both in vitro and in immunocompetent mice. Consistent with the prevailing literature, treatment of the murine colon cancer cell line MC38 with the PPM significantly reduced cell proliferation and survival in vitro. Strikingly, however, administration of the PPM to mice bearing MC38-derived hepatic metastases markedly accelerated tumor growth. Immunohistochemical analyses revealed a significantly increased accumulation of immune cells--specifically CD45 leukocytes and F4/80 macrophages--at the periphery of the metastatic lesions in PPM-treated animals. To assess the functional relevance of this inflammatory response, the PPM was combined with the anti-inflammatory drug prednisolone. This intervention resulted in significantly reduced metastatic burden, supporting the notion that the PPM exacerbates tumor progression through enhanced peritumoral inflammation. These findings highlight the importance of validating observations from cell culture and immunodeficient models in fully immunocompetent systems. They further emphasize that the immunomodulatory effects of plant phytochemicals warrant careful and comprehensive investigation.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Cancers
200 papers in training set
Top 0.3%
12.3%
2
Frontiers in Oncology
95 papers in training set
Top 0.2%
10.1%
3
Scientific Reports
3102 papers in training set
Top 8%
9.1%
4
International Journal of Molecular Sciences
453 papers in training set
Top 1%
4.9%
5
EMBO Molecular Medicine
85 papers in training set
Top 0.3%
4.3%
6
Biomedicine & Pharmacotherapy
43 papers in training set
Top 0.1%
3.7%
7
Molecular Oncology
50 papers in training set
Top 0.1%
3.6%
8
Pharmaceuticals
33 papers in training set
Top 0.2%
3.6%
50% of probability mass above
9
International Journal of Cancer
42 papers in training set
Top 0.3%
3.1%
10
eLife
5422 papers in training set
Top 33%
2.4%
11
BMC Cancer
52 papers in training set
Top 1%
1.9%
12
PLOS ONE
4510 papers in training set
Top 50%
1.9%
13
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 3%
1.9%
14
Life Sciences
25 papers in training set
Top 0.4%
1.9%
15
Molecules
37 papers in training set
Top 0.8%
1.7%
16
Molecular Cancer Therapeutics
33 papers in training set
Top 0.4%
1.7%
17
Journal of Medicinal Chemistry
68 papers in training set
Top 0.7%
1.7%
18
PeerJ
261 papers in training set
Top 8%
1.5%
19
Frontiers in Immunology
586 papers in training set
Top 5%
1.5%
20
Aging
69 papers in training set
Top 2%
1.3%
21
Frontiers in Nutrition
23 papers in training set
Top 1%
0.9%
22
Nature Communications
4913 papers in training set
Top 58%
0.9%
23
Communications Biology
886 papers in training set
Top 19%
0.9%
24
Cancer Research
116 papers in training set
Top 3%
0.9%
25
Journal of Translational Medicine
46 papers in training set
Top 2%
0.9%
26
Biochimica et Biophysica Acta (BBA) - Molecular Cell Research
28 papers in training set
Top 0.5%
0.8%
27
Biochemical Pharmacology
18 papers in training set
Top 0.1%
0.8%
28
iScience
1063 papers in training set
Top 32%
0.7%
29
British Journal of Cancer
42 papers in training set
Top 2%
0.7%
30
Cancer Research Communications
46 papers in training set
Top 1%
0.7%