| Literature DB >> 36176765 |
Jixian Xiong1, Tiantian Zhang1, Penglin Lan1, Shuhong Zhang1, Li Fu1.
Abstract
Gastric cancer (GC) is one of the most common causes of cancer-related death worldwide, and gastric cancer stem cells (GCSCs) are considered as the major factor for resistance to conventional radio- and chemotherapy. Accumulating evidence in recent years implies that GCSCs regulate the drug resistance in GC through multiple mechanisms, including dormancy, drug trafficking, drug metabolism and targeting, apoptosis, DNA damage, epithelial-mesenchymal transition, and tumor microenvironment. In this review, we summarize current advancements regarding the relationship between GCSCs and drug resistance and evaluate the molecular bases of GCSCs in drug resistance.Entities:
Keywords: Gastric cancer; chemotherapy; drug resistance; gastric cancer stem cells; molecular mechanisms
Year: 2022 PMID: 36176765 PMCID: PMC9511795 DOI: 10.20517/cdr.2022.11
Source DB: PubMed Journal: Cancer Drug Resist ISSN: 2578-532X
A summary of systemic treatments in gastric cancer
|
|
|
|
|
|
| Surgery | Surgical resection | Open surgery, laparoscopic surgery, endoscopic resection, robotic surgery | Primary choice for early-stage GC | Low |
| Chemotherapy | Target and kill fast-dividing cells | Fluoropyrimidines, platinums, taxanes, irinotecan, | The standard-of-care treatment for advanced GC | Damage to normal and healthy tissues |
| Radiotherapy | Ionizing radiation to target and kill tumor tissue | Ionizing radiation | Curative and palliative treatment | Damage to normal and healthy tissues |
| Targeted therapy | Target the specific molecules (HER2, VEGF, VEGFR, | Monoclonal antibodies and small molecule inhibitors | Use in combination with chemotherapy in first- and second-line settings | Relatively low |
| Immunotherapy | Block the binding of ligands to checkpoint receptors and re-activate the human cellular immune response | Immune checkpoint inhibitors (PD-1, PD-L1, and CTLA-4) | Use in second- and third-line settings | Relatively low |
GC: Gastric cancer; HER2: human epidermal growth factor receptor 2; VEGF: vascular endothelial growth factor; VEGFR: vascular endothelial growth factor receptor; PD-1: programmed cell death protein 1; PD-L1: programmed cell death 1 ligand 1; CTLA-4: cytotoxic T-lymphocyte-associated protein 4.
Landmark trials in first-line treatment of advanced gastric cancer
|
|
|
|
|
|
|
| MacDonald, | Fluorouracil, doxorubicin, mitomycin (FAM) | 42% | NR | 5.5 | [ |
| Wils, | Fluorouracil , doxorubicin, methotrexate (FAMTX) | 41%/9% | NR | 9.7/6.7 | [ |
| Webb, | Epirubicin, cisplatin, fluorouracil (ECF) | 45%/21% | 7.4/3.4, | 8.9/5.7, | [ |
| Van Cutsem, | Cisplatin, fluorouracil (CF) | 37%/25% | 5.6/3.7, | 8.2/9.6, | [ |
| Cunningham, | Epirubicin, cisplatin, fluorouracil (ECF) | 41%/46%/42%/48% | 6.2/6.7/6.5/7.0 | 9.9/9.9/9.3/11.2 | [ |
| Kang, | Cisplatin, capecitabine (XP) | 41%/29% | 5.6/5.0, | 10.5/9.3, | [ |
| Shah, | DCF, granulocyte stimulating factor (G-CSF) | 33%/49% | 6.5/9.7, | 12.6/18.8, | [ |
| Koizumi, | S-1, Docetaxel | 38.8%/26.8% | 5.3/4.2, | 12.5/10.8, | [ |
| Guimbaud, | epirubicin, cisplatin, capecitabine (ECX) | 39.2%/37.8% | 5.3/5.8, | 9.5/9.7, | [ |
ORR: Objective response rates; mPFS (mo): median progression-free survival (months); mOS (mo): median overall survival (months); NR: not reported.
Landmark trials in targeted therapy and immunotherapy [immune checkpoint inhibitors (ICIs)] for the treatment of advanced GC
|
|
|
|
|
|
|
|
|
|
| |||||
| Trastuzumab | Capecitabine or 5- FU plus cisplatin with Trastuzumab | 47%/35%, | 6.7/5.5, | 13.8/11.1, | [ | |
| Trastuzumab | TrastuzumabDeruxtecan | 51%/14%, | 5.6/3.5, | 12.5/8.4 | [ | |
| Lapatinib | Paclitaxel with Lapatinib | 27%/9%, | 5.4/4.4, NS | 11.0/8.9, NS | [ | |
| Lapatinib | Capecitabine plus oxaliplatin with Lapatinib | 53%/39%, | 6.0/5.4, | 12.2/10.5, NS | [ | |
| Margetuximab | Margetuximab | 25%/14%, | 5.8/4.9, | 21.6/19.8, NS | [ | |
|
| ||||||
| Bevacizumab | Capecitabine plus cisplatin with Bevacizumab | 46%/37.4%, | 6.7/5.3, | 12.1/10.1, NS | [ | |
|
| ||||||
| Ramucirumab | Ramucirumab | 3%/3%, NS | 2.1/1.3, | 5.3/3.8, | [ | |
| Ramucirumab | Paclitaxel with Ramucirumab | 28%/16%, | 4.4/2.9, | 9.6/7.4, | [ | |
| Apatinib | Apatinib | 2.84%/0%, NS | 2.6/1.8, | 6.5/4.7, | [ | |
| Regorafenib | Regorafenib | NR | 2.6/0.9, | 5.8/4.5, NS | [ | |
|
| ||||||
| Cetuximab | Capecitabine plus cisplatin with Cetuximab | 30%/29%, NS | 4.4/5.6, NS | 9.4/10.7, NS | [ | |
| Panitumumab | Epirubicin, oxaliplatin, and capecitabine with Panitumumab | 46%/42%, NS | 6.0/7.4, NS | 8.8/11.3, | [ | |
|
| ||||||
| Bemarituzumab | Modified FOLFOX6 with Bemarituzumab | 47%/33% | 9.5/7.4, | Not reached/12.9, | [ | |
|
| ||||||
| Everolimus | Everolimus | 4.5%/2.1% | 1.7/1.4, | 5.4/4.3, NS | [ | |
|
| ||||||
| Zolbetuximab | EOX with | 39.0%/25.0%, | 7.5/5.3, | 13.0/8.3, | [ | |
|
|
| |||||
| Nivolumab | Nivolumab | 11.2%/0%, | 6.1/1.61, | 11.6/5.26, | [ | |
| Nivolumab | CTx (S-1 or capecitabine plus oxaliplatin) with Nivolumab | 57.5%/47.8%, | 10.45/8.34, | 17.45/17.15, NS | [ | |
| Pembrolizumab | Pembrolizumab | 16%/14% | 1.5/4.1, | 9.1/8.3, | [ | |
|
| ||||||
| Durvalumab | Durvalumab plus tremelimumab, 2 L | 7.4%/0%/8.3%/4.0% | 1.8/1.6/1.7/1.8 | 3.4/3.2/7.7/10.6, | [ | |
| Avelumab | Avelumab | 2.2%/4.3% | 1.4/2.7, NS | 4.6/5.0, NS | [ | |
|
| ||||||
| Ipilimumab | Ipilimumab | 1.8%/7.0% | 2.72/4.90, | 12.7/12.1 | [ | |
| Tremelimumab | Durvalumab plus tremelimumab, 2 L | 7.4%/0%/8.3%/4.0% | 1.8/1.6/1.7/1.8 | 3.4/3.2/7.7/10.6, | [ | |
ORR: Objective response rates; mPFS (mo) : median progression-free survival (months); mOS (mo) : median overall survival (months); HER-2: epidermal growth factor receptor-2; VEGF: vascular endothelial growth factor; VEGFR: vascular endothelial growth factor receptor; EGFR: endothelial growth factor receptor; FGFR: fibroblast growth factor receptor; mTOR: mammalian target of rapamycin; PD-1: programmed cell death protein 1; PD-L1: programmed cell death 1 ligand 1; CTLA-4: cytotoxic T-lymphocyte-associated protein 4; NS: no significant difference; NR: not reported.
Figure 1A schematic diagram depicting the molecular mechanisms accounting for drug resistance in gastric cancer.
Figure 2Proteins and non-coding RNAs accounting for drug resistance in gastric cancer. This figure is based on the work of Marin et al.[.
Figure 3A schematic diagram depicting the molecular mechanisms accounting for chemoresistance in GCSCs. This figure is based on the work of Marin et al.[.
Figure 4Overview of our current understanding of cancer drug resistance mechanisms induced by eccDNAs.