Back

Multi-omic analysis of colorectal adenocarcinoma identifies a new subtype of myofibroblastic cancer-associated fibroblast expressing high level of B7-H3 and with poor prognosis value.

Picard, M.; Guille, A.; Finetti, P.; De Rauglaudre, B.; Belfil, N.; Mescam, L.; Birnbaum, D. J.; Bertucci, F.; Mamessier, E.

2025-07-04 cancer biology
10.1101/2025.06.30.662277 bioRxiv
Show abstract

The high mortality rate of colorectal cancer (CRC) combined with the lack of non-toxic and efficient personalized treatments makes it urgent to develop new targeted therapies for this disease. B7-H3 appears to be a good target as it is overexpressed in tumor tissue compared to normal tissue. However, B7-H3 is a molecule with ambivalent functions and is expressed by different cell types. This complexity contributed to the delay in identifying cell subtypes that express B7-H3 and their potential role in colorectal oncogenesis. In this study, we used in silico bulk, single-cell, and spatial transcriptomic data to investigate the clinical and biological characteristics of tumors with high B7-H3 expression, the precise nature of cells expressing high level of B7-H3, and their temporal appearance during colorectal oncogenesis. We found that tumors with high B7-H3 expression corresponded to tumors with a predominant stroma composed mainly of fibroblasts. Among them, two subtypes of ecm-myCAF fibroblasts and pro-fibrotic pericytes specifically expressed high levels of B7-H3, the former being an independent factor for poor prognosis in CRC. Finally, by examining precancerous lesions, we report that fibroblast subtypes with high levels of B7-H3 appear early during oncogenesis, especially at the inflamed stage. We also shed light on the fact that anti-B7-H3 immunotherapies might therefore preferentially target cells from the microenvironment rather than the tumor cells. This is particularly important to understand the mode of action of the anti-B7-H3 antibody-drug conjugate, which is currently being tested in clinical trials in several solid tumors. HighlightsO_LIHigh level of B7-H3 expression is associated with poor prognosis in colorectal cancer C_LIO_LIB7-H3 is recurrently found expressed by two subtypes of cancer-associated fibroblasts (CAF): pro-fibrotic pericytes and ecm-myCAF C_LIO_LIB7-H3high ecm-myCAF subtype is an independent poor prognosis for survival C_LIO_LIB7-H3high ecm-myCAF is detectable in pre-cancerous inflamed colonic tissues C_LI

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
eLife
5422 papers in training set
Top 10%
7.2%
2
Cancers
200 papers in training set
Top 0.9%
6.4%
3
Journal of Experimental & Clinical Cancer Research
25 papers in training set
Top 0.1%
4.8%
4
Scientific Reports
3102 papers in training set
Top 28%
4.3%
5
Genome Medicine
154 papers in training set
Top 2%
4.2%
6
Computational and Structural Biotechnology Journal
216 papers in training set
Top 1%
4.0%
7
Molecular Oncology
50 papers in training set
Top 0.1%
4.0%
8
Cell Reports Medicine
140 papers in training set
Top 1%
3.6%
9
Frontiers in Oncology
95 papers in training set
Top 1%
3.6%
10
Cancer Cell
38 papers in training set
Top 0.4%
3.6%
11
iScience
1063 papers in training set
Top 7%
2.9%
12
Gut
36 papers in training set
Top 0.4%
2.1%
50% of probability mass above
13
Cell Communication and Signaling
35 papers in training set
Top 0.3%
1.9%
14
Oncogene
76 papers in training set
Top 0.9%
1.8%
15
British Journal of Cancer
42 papers in training set
Top 0.8%
1.8%
16
Neoplasia
22 papers in training set
Top 0.2%
1.7%
17
Nature Communications
4913 papers in training set
Top 52%
1.7%
18
Journal of Translational Medicine
46 papers in training set
Top 1.0%
1.7%
19
Gastroenterology
40 papers in training set
Top 1%
1.5%
20
Theranostics
33 papers in training set
Top 0.8%
1.3%
21
EMBO Molecular Medicine
85 papers in training set
Top 2%
1.3%
22
Advanced Science
249 papers in training set
Top 14%
1.2%
23
Translational Oncology
18 papers in training set
Top 0.3%
0.9%
24
npj Precision Oncology
48 papers in training set
Top 1.0%
0.9%
25
Cell Reports
1338 papers in training set
Top 29%
0.9%
26
EBioMedicine
39 papers in training set
Top 0.7%
0.9%
27
Cancer Research
116 papers in training set
Top 3%
0.9%
28
PLOS ONE
4510 papers in training set
Top 64%
0.9%
29
Communications Biology
886 papers in training set
Top 19%
0.9%
30
Journal of Investigative Dermatology
42 papers in training set
Top 0.5%
0.8%