| Literature DB >> 35362851 |
Juan de la Haba-Rodriguez1, Ferran Ferragut Lloret2, Maria Angeles Vaz Salgado3, Martín Oré Arce4, Ana Cardeña Gutiérrez5, Jesús García-Donas Jiménez6, Carmen Beato Zambrano7, Rosa María Rodríguez Alonso8, Rafael López López9, Nuria Rodriguez Salas10.
Abstract
The improvement of molecular alterations in cancer as well as the development of technology has allowed us to bring closer to clinical practice the determination of molecular alterations in the diagnosis and treatment of cancer. The use of multidetermination platforms is spreading in most Spanish hospitals. The objective of these clinical practice guides is to review their usefulness, and establish usage guidelines that guide their incorporation into clinical practice.Entities:
Keywords: Biomarkers; Molecular platforms; Next-generation sequencing; Precision medicine
Mesh:
Year: 2022 PMID: 35362851 PMCID: PMC8986692 DOI: 10.1007/s12094-022-02817-8
Source DB: PubMed Journal: Clin Transl Oncol ISSN: 1699-048X Impact factor: 3.405
Fig. 1ESMO scale for clinical actionability of molecular targets (ESCAT)
Genetics Biomarkers for precision cancer therapies by tumor type [3–5]
| ESCAT I | ESCAT II | ESCAT III | |
|---|---|---|---|
| NSCLC | EGFR 15% del 19, L858R 60% EGFR mutant: acquired T790M exon 20 2–10% uncommon EGFR mutations (exon 18,20,21) 5% ALK 3% MET ex skipping 2% BRAFv600E 1–2% ROS1 0.2–3% NTRK fusions 1–2% RET fusions | 3% MET focal amplifications 12% KRASG12C 2–5% ERBB2 | 1.2% BRCA 1/2 1.2–7% PI3K 1.7% NRG1 |
| CRC | 44% KRAS 4% NRAS 8.5% BRAFV600E 4–5% MSI-H 0.5% NKTR1 | 2% ERBB2 | 17% PI3K hotspot mutations 5% ATM mutations 1.7% MET amplifications 1% AKT1E17K 1% TMB-High in MSS 0.3% RET fusions 0.2% ALK fusions |
| BREAST CANCER | 15–20% ERBB2 amplification ER, PR 30–40% PI3K 1% MSI-H 1% NTRK fusions 4% BRCA 1/2 germline mutation androgen receptor and PDL-1 (Triple negative BC) | 4% ERBB2 hotspot mutation 3% BRCA 1/2 somatic mutation 10% ESR1(mutation mechanism resistance) 7% PTEN 5% AKT1E17K | 6% NF1??? 1% MDM2 2% ERBB3 |
| PROSTATE CANCER | 9% BRCA1/2 somatic mutations/deletions 1% MSI-H | 40% PTEN 5% ATM 1% PALB2 | 3% PI3K 1% AKT1E17K |
| ENDOMETRIAL CANCER* | 2–5% MSI-H, PMS2 | ESR1 | POLE-aberrant BRAF KRAS PIK3CA PTEN? |
| OVARIAN* | BRCA 1/2 germline, somatic | ATM, BRIP1, CHEK2, PALB2, RAD51C, RAD 51B | |
| CHOLANGIOCARCINOMA | 20% IDH1 mutations 15% FGFR2 mutations 2% MSI-H 2% NKTR fusions | 5% BRAFV600E mutations | 10% ERBB Amplifications 2% ERBB2 mutations 7% PI3CA hotspot mutations 3% BRCA1/2 mutations 2% MET amplifications |
| CENTRAL NERVOUS SYSTEM* | 1p19q co-deletions IDH1, IDH2 MGMT | ||
| SARCOMAS* | MDM2, CDK4 IDH1/IDH2 | ||
| GIST | KIT, PDGFRA | ||
| PANCREATIC CANCER | 1–4% BRCA1/2 germline mutation 1–3% MSI -H < 1% NTRK | 3% BRCA 1/2 somatic mutations 90% KRAS mutations 3% PI3CA 3% BRAFV600E 2% MDM2 amplifications 1–2% ERBB2 amplifications/mutations 1% NRG1 fusions < 1% ALK fusions < 1% RET fusions < 1% ROS1 fusions | |
| GASTROESOPHAGEAL ADENOCARCINOMA | 16% ERBB2 amplifications 8% MSI-H 2% NTRK fusions | 6% EGFR amplifications 3% MET amplifications | 3% ERBB2 hotspots mutations 1.3% MET Mutations 7% PI3KCA hotspot mutations 4% FGFR2 amplifications 3% ATM mutations 1–5% BRCA 1/2 mutations < 1% ROS 1 fusions < 1% RET fusions 3% ERBB3 hotspot mutations |
| MELANOMAS | 50% BRAFv600E | KIT | |
| HEPATOCELLULAR CARCINOMA | 1% NTRK fusions 1% MSI- H | 4% PI3CA hotspot mutations 4% MET amplifications 2% RAS mutations |
*Non-specific ESCAT available, the classification is proposed regarding SEOM specific tumor type guidelines
Somatic mutations that should be referred to genetic counseling [15]
| Germline associated syndrome | Mutation | Main cancers involved |
|---|---|---|
| Li-Fraumeni | TP53 | Sarcomas, breast, and brain |
| Lynch | MSH2, MLH1, MSH6, PMS2 | Gastrointestinal tract, endometrium, ovary, brain, breast, renal pelvis |
| Hereditary breast-ovarian cancer | BRCA1, BRCA2 | Breast, ovary, prostate, pancreas |
| Familial adenomatous polyposis | APC, MUTYH | CCR, small bowel, stomach, brain, bone, skin |
| Hereditary diffuse gastric cancer | CDH1 | Stomach, breast |
| Familial atypical multiple melanoma | CDK4, CDKN2A | Melanoma, pancreatic cancer, astrocytoma |
| Werner | MEN1 | Pancreatic, pituitary gland tumors |
| Retinoblastoma | RB1 | Eye, pineal gland, osteosarcoma, melanoma, soft tissue sarcoma |
| Multiple endocrine neoplasia type 2 | RET | Medullary thyroid cancer, pheochromocytoma |
| Von Hippel-Lindau | VHL | Kidney |
| Peutz-Jeghers | STK11 | Breast, CCR, pancreas, stomach, hamartomas |
| Familial paraganglioma | SDHD, SDHB, SDHC | Paragangliomas, pheochromocytomas |
| Bir-Hoge-Dube | FLCN | Chromophobe renal cell cancer |
| Tuberous sclerosis | TSC1/2 | Angiofibroma, angiomyolipoma, giant cell astrocytoma |
| Neurofibromatosis type 1 | NF1 | Optic gliomas, neurofibromas |
| Neurofibromatosis type 2 | NF2 | Schwannomas, meningiomas, gliomas, neurofibromas |
| Gorlin | PTCH1 | Childhood primitive neuroectodermal tumors, skin basal cell carcinomas |
| Juvenile polyposis | BMPR1A, SMAD4 | Multiple non-cancerous growth in the colon |
Main trading platforms for unknown origin neoplasm [37–46]
| Plataform | Method | No. of genes | Sensitivity (%) |
|---|---|---|---|
| Ques-Lab | RT-PCR | 92 | – |
| Veridex | RT-PCR | 6 | 76.0 |
| Pathwork | cDNA array | 2000 | 89.0 |
| Cup-Print | cDNA array | 495 | 85.0 |
| Rossetta | miRNA array | 64 | 90.0 |
| CancerType | RT-PCR | 92 | 89.0 |
| EPICUP | Methylation array | – | 97.7 |
| CUP-AI-Dx | ARN-seq | Transcriptional profiles of 18,217 tumors | EEUU: 86.96% Australia: 72.46% |
Recommendations and evidences
| In daily practice, we are encouraged to obtain a customized NGS platform that includes ESCAT level I gene alterations | I-II/B |
| Clinical oncologist´s education about when and how to interpret molecular maps is essential to benefit patients from modern approaches through tumor profiling | V/C |
| Use of liquid biopsy to achieve precision oncology, especially in rare tumors | II/B |