| Literature DB >> 34354950 |
Miriam Gaggianesi1, Simone Di Franco1, Vincenzo Davide Pantina1, Gaetana Porcelli2, Caterina D'Accardo2, Francesco Verona2, Veronica Veschi1, Lorenzo Colarossi3, Naida Faldetta4, Giuseppe Pistone2, Maria Rita Bongiorno2, Matilde Todaro2, Giorgio Stassi1.
Abstract
Despite the recent advances in cancer patient management and in the development of targeted therapies, systemic chemotherapy is currently used as a first-line treatment for many cancer types. After an initial partial response, patients become refractory to standard therapy fostering rapid tumor progression. Compelling evidence highlights that the resistance to chemotherapeutic regimens is a peculiarity of a subpopulation of cancer cells within tumor mass, known as cancer stem cells (CSCs). This cellular compartment is endowed with tumor-initiating and metastasis formation capabilities. CSC chemoresistance is sustained by a plethora of grow factors and cytokines released by neighboring tumor microenvironment (TME), which is mainly composed by adipocytes, cancer-associated fibroblasts (CAFs), immune and endothelial cells. TME strengthens CSC refractoriness to standard and targeted therapies by enhancing survival signaling pathways, DNA repair machinery, expression of drug efflux transporters and anti-apoptotic proteins. In the last years many efforts have been made to understand CSC-TME crosstalk and develop therapeutic strategy halting this interplay. Here, we report the combinatorial approaches, which perturb the interaction network between CSCs and the different component of TME.Entities:
Keywords: anticancer drugs; cancer stem cells; chemoresistance; targeted therapy; tumor microenvironment
Year: 2021 PMID: 34354950 PMCID: PMC8330815 DOI: 10.3389/fonc.2021.702642
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Cancer stem cell biomarkers correlated to chemoresistance.
| CSC markers | Stemness-related pathways | Tumors | References |
|---|---|---|---|
| CD133 | Hedgehog (HH) | CRC |
|
| CD44+CD24-/low Lin- | BC |
| |
| CD133 | Glioma |
| |
| CD133 | Notch | Glioma |
|
| TOP-GFPhigh CD133high | Wnt/β-catenin | CRC |
|
| Lgr5 |
| ||
| Lgr5 |
| ||
|
| |||
| BC |
| ||
|
| |||
| ALDH activity, SP |
| ||
| Neuroblastoma |
| ||
| CD44+CD24-/low | YAP/TAZ | BC |
|
| Lgr5 | CRC |
| |
|
| |||
| CD34+/CD38- | FAS/FAS-L | AML |
|
| Pancreatic |
| ||
| CD133 | Glioma |
| |
|
| |||
| CD133 | TRAIL | GBM |
|
| CD133 |
| ||
| CD133 | BC |
| |
| ALDH activity |
| ||
| CD133 | IAP | GBM |
|
|
| |||
| CD133, SOX2 | Survivin | GMB |
|
| CRC |
| ||
| CD133 | Bcl2 family | GBM |
|
| Haematopoietic disorders |
| ||
| CD44+CD24-/low | BC |
| |
|
| |||
| CD133 | Chk1/2 | Glioma/GBM |
|
| SOX2 |
| ||
| CD44v6 TOP-GFPhig | CRC |
| |
| ATM | GBM |
| |
| SOX2 |
| ||
| CD133 | Rad51 | Lung |
|
| ALDH activity | BC |
| |
| CD133 | BRCA1 | Lung |
|
| CD133 | Pancreatic |
| |
|
| |||
| CD44+CD24-/low | ALDH1 | BC |
|
| CD44+CD24-/low and CD133 | ABCB1 | BC |
|
| ALDH activity | Myeloma |
| |
| CD133 | ABCB5 | Melanoma |
|
Figure 1Crosstalk between cancer stem cells (CSCs) and tumor microenvironment (TME) components. Within the tumor mass, a subpopulation of cancer cells, called cancer stem cells (CSCs), are endowed with high resistance to anticancer therapies, due to elevated expression levels of ABC transporters, anti-apoptotic proteins and a proficient DNA damage repair (DDR) machinery. Tumor microenvironment (TME), mainly composed by cancer associated fibroblasts (CAFs), adipocytes, immune and endothelial cells, has a key role in the maintenance of CSC peculiarities. Cytokines and chemokines produced by both CSCs and TME cells boost cancer cell growth, prompt chemoresistance and promote tumor progression and relapse.
Molecular mechanisms prompting cancer stem cell resistance to standard and targeted therapies.
| Mechanism of resistance | Tumor | Molecule secreted | Drug | References | |
|---|---|---|---|---|---|
|
| GLI-2 enhanced expression | CRC | TGFβ2 , IL-6 | 5-FU/oxa |
|
| NF-kB pathway | BC/lung | IL-6, IL-8 | CIS |
| |
| Wnt/β-catenin pathway | head/neck | periostin | erlotinib |
| |
| PI3K/AKT and MAPK pathway | CRC | HGF, SDF-1, OPN | PI3K/AKT inhibitors |
| |
| STAT3/NF-kB pathway | BC | IL-6 | trastuzumab |
| |
|
| High MVP expression levels | BC | CM from adipocytes | doxorubicin/ 5-FU/ paclitaxel |
|
| MAPK pathway | BC | IL-4 | arimidex/ docetaxel+BKM120 |
| |
| AKT/MAPK pathways | BC | Leptin | 5-FU |
| |
| MAPK and AKT pathways | CRC | Leptin | 5-FU |
| |
| AMPK/mTOR/JNK pathways | BC | Resistin | doxorubicin |
| |
| Up-regulation of ABCG2 | BC | CXCL1 | doxorubicin |
| |
|
| Notch pathway | Lymphoma | Jagged-1 | doxorubicin |
|
| Notch pathway | CRC | Jagged-1 | 5-FU/oxa |
| |
| High c-Met expression levels | GBM | bevacizumab |
| ||
| HIF/VEGF pathways | CRC | VEGF | bevacizumab |
| |
| Increase of intratumoral hypoxia | LLC | sunitinib |
| ||
| VEGF-independent angiogenesis | Pancreatic cancer | FGFs | DC101 (anti-VEGFR2) |
| |
| VEGF-independent angiogenesis | RCC | IL-8 | sunitinib |
| |
| NF-kB pathway | RCC | IL-6 | sunitinib |
| |
| AXL and Met signaling | RCC | sunitinib |
|