Skip to main content

Open Access 11.03.2024 | Comment

The fibro-adipogenic progenitor APOD+DCN+LUM+ cell population in aggressive carcinomas

verfasst von: Lingyi Cai, Mikhail G. Kolonin, Dimitris Anastassiou

Erschienen in: Cancer and Metastasis Reviews

download
DOWNLOAD
print
DRUCKEN
insite
SUCHEN

Abstract

We identified a progenitor cell population highly enriched in samples from invasive and chemo-resistant carcinomas, characterized by a well-defined multigene signature including APOD, DCN, and LUM. This cell population has previously been labeled as consisting of inflammatory cancer-associated fibroblasts (iCAFs). The same signature characterizes naturally occurring fibro-adipogenic progenitors (FAPs) as well as stromal cells abundant in normal adipose tissue. Our analysis of human gene expression databases provides evidence that adipose stromal cells (ASCs) are recruited by tumors and undergo differentiation into CAFs during cancer progression to invasive and chemotherapy-resistant stages.
Begleitmaterial
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s10555-024-10181-y.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
During carcinoma progression, mesenchymal stromal cells become recruited to tumors and contribute to the pool of CAFs. The heterogeneity of CAF populations, changing during disease progression, has been recognized [1]. CAFs can be derived from tissue-resident fibroblasts as well as various other lineages. However, CAF sub-populations are diverse and have incompletely understood effects on disease progression and resistance to therapy. Here, by analyzing public databases of human single-cell RNAseq (scRNA-seq) data, we have identified a CAF progenitor population marked by expression of genes APOD, DCN, LUM, typically accompanied by expression of CFD, CXCL14, PTGDS, MGP, SERPINF1, and DPT. We show that these cells are prominent in the following two settings:
1.
Naturally occurring in cancer-free individuals as (a) ASCs previously identified as adipocyte progenitors enriched in the stromal vascular fraction (SVF) of adipose tissue [2], as well as (b) fibro-adipogenic progenitors (FAPs) in skeletal muscle [3]. We refer to the corresponding gene co-expression signature as “the ASC/FAP signature.”
 
2.
Enriched in the tumor microenvironment of invasive and chemoresistant carcinomas of various types.
 
The ASC/FAP progenitor population has both adipogenic and fibroblastic differentiation potential. In this work, we provide evidence that it is recruited by cancer cells and undergoes differentiation into CAFs (Fig. 1a).
The ASC/FAP signature reflects remarkably similar lists of marker genes in the ASC cluster [2] (Fig. 1b) and the FAP cluster [3] (Fig. 1c). The presence of the same signature in both ASCs and FAPs is also consistent with the finding that adipose tissue is a source of FAP-like cells recruited to skeletal muscle undergoing remodeling [4]. To demonstrate that the ASC/FAP population exists in abundance in each of the 25 adipose tissue samples presented previously [2], we analyzed each of those samples derived from 14 cancer-free individuals. We used an attractor algorithm [5] (Methods in Supplementary Information) designed to converge to a ranked list of genes identifying the core co-expression characterizing cell populations. We independently generated the lists of top-ranked genes for each sample. Supplementary Table 1 shows that all genes mentioned above are consistently top ranked, while Supplementary Fig. 1 demonstrates the abundance of the ASC/FAP population in the SVF.
We identified similarly enriched ASC/FAP genes in cell clusters of bladder [6], ovarian [7], and breast [8] cancer (Fig. 1d). The twelve top differentially expressed genes (DEGs) of a population were also found to have a three-fold enrichment in chemo-resistant samples of pancreatic cancer, referred to as constituting a “chemo-resistance signature” as shown in their extended data Fig. 7b (Fig.1e) [9]. The strong enrichment of the ASC/FAP cell population in multiple cancer types is consistent with the recruitment of this particular progenitor population in aggressive and chemo-resistant cancers. Consistently, lineage tracing and transplantation studies in mouse models indicate that ASCs can be recruited by carcinomas to promote cancer progression [10, 11].
The recruited ASC/FAP cells are typically misrepresented as inflammatory CAFs (“iCAFs”) because they are often included in nonhomogeneous computationally derived clusters that also contain such cells. iCAFs have been defined as fibroblasts expressing IL6 and additional inflammatory mediators [12], and the expression of IL6 has remained a requirement in a Consensus Statement of experts describing iCAFs [13]. IL6 expression can also be induced in a subset of cells in such clusters. However, the ASC/FAP population in its original non-inflammatory status should not be confused with IL6+ iCAFs. For example, the three representative genes for each fibroblastic subpopulation in Fig. 5D of Dominguez et al. [14] are shown in Fig. 1f. Cluster 1 is marked by genes C7, CFD and PTGDS, all three of which are among the twelve in the chemo-resistance ASC/FAP signature in Fig. 1e. Cluster 2 is marked by IL6, HAS1 and CCL2, all among the iCAF signature genes defined previously [15], hence identifying it as the true iCAF population. It was recently suggested that there are “two separate populations of iCAFs: one IL6 positive and another IL6 negative.” [16] In fact, the IL6-negative cluster largely contains the APOD+ ASC/FAP population and should not be characterized as iCAFs.
Single-cell analysis revealed that, in aggressive cancers, cells with the ASC/FAP signature convert to a particular type of CAFs expressing COL11A1, THBS2, and INHBA [17]. This CAF signature was first reported by Kim et al. [18] and included additional genes such as POSTN, COL10A1, and MMP11. One example consistent with the transition is described by Fig. 2a of Wang et al. [19], in which cluster C0 expresses APOD, DCN, and LUM, while cluster C3 adjacent to it expresses COL11A1, THBS2, and INHBA (Fig. 1g). Furthermore, the presence of the COL11A1+ cluster 0, adjacent to C7+CFD+PTGDS+ cluster 1 in Fig. 5D from Dominguez et al., [14] is also consistent with the transition, as is the presence of gene POSTN together with APOD, CFD, and CXCL14 in the same “poor prognosis” cluster (CAF_0) [20] in gastric cancer. COL11A1 is also identified as the collagen marker most strongly associated with poor prognosis [16].
In summary, this commentary draws attention to the APOD+DCN+LUM+ gene signature as representing an important unrecognized population in cancer. These cells are likely derived from ASC/FAPs recruited by carcinomas; however, their origination from other sources cannot be excluded. Their differentiation into COL11A1+ CAFs, accompanying the transition to metastasis, may underlie a mechanism that accounts for the role of adipose tissue in cancer aggressiveness [21]. Genetic manipulations of ASCs in cell culture and animal models of carcinoma progression to chemo-resistance will be necessary to obtain further evidence for the origin of CAFs associated with poor prognosis of cancer. Further research may help in developing appropriate therapeutics targeting the underlying mechanisms.

Declarations

Ethical approval

N/A
N/A

Conflict of interests

The authors have filed a patent application for ideas related to this work. There are no other competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Unsere Produktempfehlungen

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

e.Med Innere Medizin

Kombi-Abonnement

Mit e.Med Innere Medizin erhalten Sie Zugang zu CME-Fortbildungen des Fachgebietes Innere Medizin, den Premium-Inhalten der internistischen Fachzeitschriften, inklusive einer gedruckten internistischen Zeitschrift Ihrer Wahl.

Anhänge

Supplementary information

Literatur
1.
Zurück zum Zitat Caligiuri, G., & Tuveson, D. A. (2023). Activated fibroblasts in cancer: Perspectives and challenges. Cancer Cell, 41, 434–449.CrossRefPubMed Caligiuri, G., & Tuveson, D. A. (2023). Activated fibroblasts in cancer: Perspectives and challenges. Cancer Cell, 41, 434–449.CrossRefPubMed
2.
Zurück zum Zitat Vijay, J., et al. (2020). Single-cell analysis of human adipose tissue identifies depot- and disease-specific cell types. Nature Metabolism, 2, 97–109.CrossRefPubMedADS Vijay, J., et al. (2020). Single-cell analysis of human adipose tissue identifies depot- and disease-specific cell types. Nature Metabolism, 2, 97–109.CrossRefPubMedADS
3.
Zurück zum Zitat Rubenstein, A. B., et al. (2020). Single-cell transcriptional profiles in human skeletal muscle. Scientfic Reports, 10, 229.CrossRefADS Rubenstein, A. B., et al. (2020). Single-cell transcriptional profiles in human skeletal muscle. Scientfic Reports, 10, 229.CrossRefADS
4.
Zurück zum Zitat Sastourné-Arrey, Q., et al. (2023). Adipose tissue is a source of regenerative cells that augment the repair of skeletal muscle after injury. Nature Communications, 14, 80.CrossRefPubMedPubMedCentralADS Sastourné-Arrey, Q., et al. (2023). Adipose tissue is a source of regenerative cells that augment the repair of skeletal muscle after injury. Nature Communications, 14, 80.CrossRefPubMedPubMedCentralADS
5.
Zurück zum Zitat Cheng, W.-Y., Yang, O., & T.-H. & Anastassiou, D. (2013). Biomolecular events in cancer revealed by attractor metagenes. PLOS Computational Biology, 9, e1002920.CrossRefPubMedPubMedCentral Cheng, W.-Y., Yang, O., & T.-H. & Anastassiou, D. (2013). Biomolecular events in cancer revealed by attractor metagenes. PLOS Computational Biology, 9, e1002920.CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Chen, Z., et al. (2020). Single-cell RNA sequencing highlights the role of inflammatory cancer-associated fibroblasts in bladder urothelial carcinoma. Nature Communications, 11, 5077.CrossRefPubMedPubMedCentralADS Chen, Z., et al. (2020). Single-cell RNA sequencing highlights the role of inflammatory cancer-associated fibroblasts in bladder urothelial carcinoma. Nature Communications, 11, 5077.CrossRefPubMedPubMedCentralADS
7.
Zurück zum Zitat Hornburg, M., et al. (2021). Single-cell dissection of cellular components and interactions shaping the tumor immune phenotypes in ovarian cancer. Cancer Cell, 39, 928–944.e6.CrossRefPubMed Hornburg, M., et al. (2021). Single-cell dissection of cellular components and interactions shaping the tumor immune phenotypes in ovarian cancer. Cancer Cell, 39, 928–944.e6.CrossRefPubMed
9.
Zurück zum Zitat Cui Zhou, D., et al. (2022). Spatially restricted drivers and transitional cell populations cooperate with the microenvironment in untreated and chemo-resistant pancreatic cancer. Nature Genetics, 54, 1390–1405.CrossRefPubMedPubMedCentral Cui Zhou, D., et al. (2022). Spatially restricted drivers and transitional cell populations cooperate with the microenvironment in untreated and chemo-resistant pancreatic cancer. Nature Genetics, 54, 1390–1405.CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Zhang, Y., et al. (2012). Stromal progenitor cells from endogenous adipose tissue contribute to pericytes and adipocytes that populate the tumor microenvironment. Cancer Research, 72, 5198–5208.CrossRefPubMed Zhang, Y., et al. (2012). Stromal progenitor cells from endogenous adipose tissue contribute to pericytes and adipocytes that populate the tumor microenvironment. Cancer Research, 72, 5198–5208.CrossRefPubMed
11.
Zurück zum Zitat Zhang, T., et al. (2016). CXCL1 mediates obesity-associated adipose stromal cell trafficking and function in the tumour microenvironment. Nature Communications, 7, 11674.CrossRefPubMedPubMedCentralADS Zhang, T., et al. (2016). CXCL1 mediates obesity-associated adipose stromal cell trafficking and function in the tumour microenvironment. Nature Communications, 7, 11674.CrossRefPubMedPubMedCentralADS
12.
Zurück zum Zitat Öhlund, D., et al. (2017). Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer. Journal of Experimental Medicine, 214, 579–596.CrossRefPubMedPubMedCentral Öhlund, D., et al. (2017). Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer. Journal of Experimental Medicine, 214, 579–596.CrossRefPubMedPubMedCentral
13.
14.
Zurück zum Zitat Dominguez, C. X., et al. (2020). Single-cell rna sequencing reveals stromal evolution into lrrc15+ myofibroblasts as a determinant of patient response to cancer immunotherapy. Cancer Discovery, 10, 232–253.CrossRefPubMed Dominguez, C. X., et al. (2020). Single-cell rna sequencing reveals stromal evolution into lrrc15+ myofibroblasts as a determinant of patient response to cancer immunotherapy. Cancer Discovery, 10, 232–253.CrossRefPubMed
15.
Zurück zum Zitat Elyada, E., et al. (2019). Cross-species single-cell analysis of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts. Cancer Discovery, 9, 1102–1123.CrossRefPubMedPubMedCentral Elyada, E., et al. (2019). Cross-species single-cell analysis of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts. Cancer Discovery, 9, 1102–1123.CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Thorlacius-Ussing, J., et al. (2023). The collagen landscape in cancer: profiling collagens in tumors and in circulation reveals novel markers of cancer-associated fibroblast subtypes. The Journal of Pathology, 262(1), 22–36.CrossRefPubMed Thorlacius-Ussing, J., et al. (2023). The collagen landscape in cancer: profiling collagens in tumors and in circulation reveals novel markers of cancer-associated fibroblast subtypes. The Journal of Pathology, 262(1), 22–36.CrossRefPubMed
17.
Zurück zum Zitat Zhu, K., Cai, L., Cui, C., de Los Toyos, J. R., & Anastassiou, D. (2021). Single-cell analysis reveals the pan-cancer invasiveness-associated transition of adipose-derived stromal cells into COL11A1-expressing cancer-associated fibroblasts. PLOS Computational Biology, 17, e1009228.CrossRefPubMedPubMedCentral Zhu, K., Cai, L., Cui, C., de Los Toyos, J. R., & Anastassiou, D. (2021). Single-cell analysis reveals the pan-cancer invasiveness-associated transition of adipose-derived stromal cells into COL11A1-expressing cancer-associated fibroblasts. PLOS Computational Biology, 17, e1009228.CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Kim, H., Watkinson, J., Varadan, V., & Anastassiou, D. (2010). Multi-cancer computational analysis reveals invasion-associated variant of desmoplastic reaction involving INHBA, THBS2 and COL11A1. BMC Medical Genomics, 3, 51.CrossRefPubMedPubMedCentral Kim, H., Watkinson, J., Varadan, V., & Anastassiou, D. (2010). Multi-cancer computational analysis reveals invasion-associated variant of desmoplastic reaction involving INHBA, THBS2 and COL11A1. BMC Medical Genomics, 3, 51.CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Wang, Y., et al. (2021). Single-cell analysis of pancreatic ductal adenocarcinoma identifies a novel fibroblast subtype associated with poor prognosis but better immunotherapy response. Cell Discovery, 7, 1–17.CrossRefPubMedPubMedCentral Wang, Y., et al. (2021). Single-cell analysis of pancreatic ductal adenocarcinoma identifies a novel fibroblast subtype associated with poor prognosis but better immunotherapy response. Cell Discovery, 7, 1–17.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Lengyel, E., Makowski, L., DiGiovanni, J., & Kolonin, M. G. (2018). Cancer as a matter of fat: the crosstalk between adipose tissue and tumors. Trends Cancer, 4, 374–384.CrossRefPubMedPubMedCentral Lengyel, E., Makowski, L., DiGiovanni, J., & Kolonin, M. G. (2018). Cancer as a matter of fat: the crosstalk between adipose tissue and tumors. Trends Cancer, 4, 374–384.CrossRefPubMedPubMedCentral
Metadaten
Titel
The fibro-adipogenic progenitor APOD+DCN+LUM+ cell population in aggressive carcinomas
verfasst von
Lingyi Cai
Mikhail G. Kolonin
Dimitris Anastassiou
Publikationsdatum
11.03.2024
Verlag
Springer US
Erschienen in
Cancer and Metastasis Reviews
Print ISSN: 0167-7659
Elektronische ISSN: 1573-7233
DOI
https://doi.org/10.1007/s10555-024-10181-y

Alphablocker schützt vor Miktionsproblemen nach der Biopsie

16.05.2024 alpha-1-Rezeptorantagonisten Nachrichten

Nach einer Prostatabiopsie treten häufig Probleme beim Wasserlassen auf. Ob sich das durch den periinterventionellen Einsatz von Alphablockern verhindern lässt, haben australische Mediziner im Zuge einer Metaanalyse untersucht.

Antikörper-Wirkstoff-Konjugat hält solide Tumoren in Schach

16.05.2024 Zielgerichtete Therapie Nachrichten

Trastuzumab deruxtecan scheint auch jenseits von Lungenkrebs gut gegen solide Tumoren mit HER2-Mutationen zu wirken. Dafür sprechen die Daten einer offenen Pan-Tumor-Studie.

Mammakarzinom: Senken Statine das krebsbedingte Sterberisiko?

15.05.2024 Mammakarzinom Nachrichten

Frauen mit lokalem oder metastasiertem Brustkrebs, die Statine einnehmen, haben eine niedrigere krebsspezifische Mortalität als Patientinnen, die dies nicht tun, legen neue Daten aus den USA nahe.

Labor, CT-Anthropometrie zeigen Risiko für Pankreaskrebs

13.05.2024 Pankreaskarzinom Nachrichten

Gerade bei aggressiven Malignomen wie dem duktalen Adenokarzinom des Pankreas könnte Früherkennung die Therapiechancen verbessern. Noch jedoch klafft hier eine Lücke. Ein Studienteam hat einen Weg gesucht, sie zu schließen.

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.