Recent Advancement in Diagnosis of Biliary Tract Cancer through Pathological and Molecular Classifications
Abstract
:Simple Summary
Abstract
1. Introduction
2. Pathologic Classification
2.1. Pathologic Classification of Cholangiocarcinoma
2.2. Pathologic Classification of Gallbladder Cancer
3. Molecular Classification
3.1. Molecular Classification of Cholangiocarcinoma
3.2. Molecular Classification of Gallbladder Cancer
4. Clinical Presentation
5. Diagnostic Tool
5.1. Ultrasonography
5.2. CT and MRI
5.2.1. Radiologic Findings of Mass-Forming Cholangiocarcinoma
5.2.2. Radiologic Findings of Periductal-Infiltrating Cholangiocarcinoma
5.2.3. Radiologic Findings of Intraductal-Growing Cholangiocarcinoma
5.2.4. Radiologic Findings of Gallbladder Cancer
5.3. PET-CT
5.4. EUS
5.5. ERCP or Percutaneous Transhepatic Cholangiography (PTC)
5.5.1. Intraductal Ultrasound (IDUS)
5.5.2. Peroral Cholangioscopy (POC)
5.5.3. Tissue Biopsy
5.6. Liquid Biopsy Based on Bile Samples
5.7. Liquid Biopsy Based on Blood Samples
6. Clinical Aspects for Pathologic and Molecular Diagnosis
6.1. Pathologic Diagnosis
6.2. Molecular Diagnosis
7. Approach to the Patient
7.1. Suspected iCCA
7.2. Suspected pCCA
7.3. Suspected dCCA
7.4. Patients with PSC
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Cholangiocarcinoma Type | Growth Pattern | Precancerous Lesion | Main Etiology |
---|---|---|---|
iCCA—small-duct type | Mass forming | None | Chronic hepatitis Cirrhosis |
iCCA—large-duct type | Periductal infiltrating | BilIN | Hepatolithiasis Liver flukes PSC |
Intraductal growing | IPNB, MCN, and ITNB | ||
pCCA—dCCA | Flat or nodular sclerosing | BilIN | |
Intraductal papillary | IPNB, MCN, and ITNB |
Reference | Tumor Type | n | Classification | Molecular Characteristics and Prognosis |
---|---|---|---|---|
Sia et al. [17] | iCCA | 149 | Inflammation class | Activation of inflammatory signaling pathways Overexpression of IL-4 and IL-10 (Th2 marker) Favorable prognosis |
Proliferation class | Activation of oncogenic signaling pathways Overexpression of EGF, RAS, AKT, and MET Worse prognosis | |||
Andersen et al. [18] | Cholangiocarcinoma | 104 | Cluster 1 | No KRAS mutation Absence or weak expression of HER2 and MET Good prognosis |
Cluster 2 | Enriched VEGF/ERBB, CTNNB1/MYC, and KRAS mutations Poor prognosis | |||
Farshidfar et al. [36] | Cholangiocarcinoma | 32 | IDH-mutant cluster * | IDH1/2 mutation Elevated mitochondrial gene expression Loss of function of ARID1A and PBRM1 |
CCND1 amplification cluster * | Highly hypermethylated | |||
BAP1/FGFR cluster * | BAP1 mutation or FGFR2 fusion | |||
Jusakul et al. [19] | Cholangiocarcinoma | 69 | Cluster 1 | ARID1A, BRCA1/2, and TP53 mutations ERBB2 amplification CpG island hypermethylation |
Cluster 2 | Enriched in TP53 mutations High expressions of CTNNB1, WNT5B and AKT1 | |||
Cluster 3 | High CNA burden Enriched immune-related pathways | |||
Cluster 4 | BAP1 or IDH1/2 mutation High expression of FGFR family proteins CpG shore hypermethylation Favorable prognosis | |||
Job et al. [37] | iCCA | 78 | Immune desert subtype | Minimal expression of all TME signatures |
Immunogenic subtype | High adaptive immune cell presence Strong activation of fibroblasts and inflammatory and immune checkpoint pathways Best prognosis | |||
Myeloid-rich subtype | Strong monocyte-derived myeloid cell signatures Weak lymphoid signatures | |||
Mesenchymal subtype | Strong activation of fibroblast signatures Worst prognosis | |||
Dong et al. [38] | iCCA | 262 | S1 | Enriched KRAS mutations Upregulated inflammatory pathways and immunosuppressive TME signature Worst prognosis |
S2 | High expression of proteins related to CAFs and ECM (FAP, POSTN, and FLT1) | |||
S3 | Enriched in TP53 mutations Upregulated pathways of cell cycle and MAPK signaling | |||
S4 | FGFR2 alterations, and BAP1 and IDH1/2 mutations High expression of adhesion and biliary-specific proteins (ANXA4, KRT18, and EPCAM) Best prognosis | |||
Martin-Serrano et al. [39] | iCCA | 122 | Immune classical | High infiltration of immune cells (type-1 IFN) Enriched in TP53 mutations alone Elevated metabolic-related pathways |
Inflammatory stroma ** | Abundance of stromal deposition, TGFβ signaling, and T cell exhaustion Enriched KRAS mutations alone | |||
Hepatic stem-like | High M2-like macrophage levels in TME FGFR2 alterations, and BAP1 and IDH1/2 mutations Elevated stemness-related pathways (NOTCH and YAP1) | |||
Tumor classical ** | Enriched in TP53 mutations alone and co-occurrence of TP53 and KRAS mutations High expression of cholangiocyte markers | |||
Desert-like | Scarce immune infiltration and abundance of Tregs in TME Enriched in TP53 mutations alone Enriched in mitotic spindles and WNT/β-catenin signaling | |||
Cho et al. [40] | iCCA | 102 | Metabolism | IDH1 and BAP1 mutations Favorable prognosis |
Stem-like | High expression of ALDH1A1 and ALDH families | |||
Poorly immunogenic | TP53 and KRAS mutations Poor prognosis |
Biomarkers | n | ROC-AUC | Sensitivity (%) | Specificity (%) | Reference |
---|---|---|---|---|---|
Exosomal cargoes | |||||
MicroRNA (miR-191, miR-486-3p, miR-1274b, miR-16, and miR-484) | 96 | 0.67 | 0.69 | [95] | |
MicroRNA (miR-483-5p, and miR-126-3p) | 92 | 0.81, 0.74 | 0.811, 0.73 | 0.811, 0.865 | [96] |
MicroRNA (miR-141-3p, miR-200a-3p, miR-200c-3p, miR-200b-3p, and ENST00000588480.1) | 100 | 0.757~0.869 | 0.63~0.83 | 0.6~0.867 | [97] |
LncRNA (ENST00000588480.1 and ENST00000517758.1) | 91 | 0.709 | 0.829 | 0.589 | [98] |
Circle-RNA (circ-CCAC1) | 316 | 0.857 | [89] | ||
Protein (claudin-3/CLDN3) | 20 | 0.945 | 0.875 | 0.875 | [99] |
DNA | 20 | 0.667 | 0.33 | 1 | [100] |
KRAS mutation | 115 | 0.25 | 0.96 | [101] | |
KRAS mutation | 46 | 0.738 | 0.476 | 1 | [102] |
KRAS mutation | 43 | 0.742 | 0.526 | 0.958 | [103] |
KRAS mutation and TP53 mutation | 109 | 0.564/0.508 | 0.279/0.047 | 0.848/0.970 | [104] |
KRAS mutation and TP53 mutation | 50 | 0.783, 0.750 | 0.567, 0.5 | 1, 1 | [105] |
KRAS mutation and TP53 mutation | 49 | 0.733 | 0.467 | 1 | [106] |
TP53, ERBB2, and KRAS | 42 | 0.955 | 0.909 | 1 | [102] |
KRAS, TP53, CDKN2A, SMAD4, and BRAF | 60 | 0.737/0.715 | 0.536/0.462 | 0.937/0.969 | [107] |
Promotor methylation INK4a/ARF | 243 | 0.84~0.98 | 0.67~0.96 | 0.93~0.98 | [92] |
Promotor methylation of COD1, CNRIP1, SEPT9, and VIM | 80 | 0.775 | 0.773 | 0.778 | [108] |
Methylation of DKK3, p16, SFRP2, DKK2, NPTX2, and ppENK | 125 | 0.71~0.83 | 0.94 | [109] | |
CCND2, CDH13, GRIN2B, RUNX3, and TWIST1 | 241 | 0.92 | 0.98 | [110] | |
Gene mutations in KRAS, TP53, SMAD4, and CDNK2A; methylation changes in SOX17, 3-OST-2, NXPH1, SEPT9, and TERT | |||||
150 tumor-related genes (widely targeted deep sequencing) | 10 | 0.947 | 0.999 | [111] | |
520 tumor-related genes (widely targeted deep sequencing) | 28 | 0.955 | [112] | ||
RNA | |||||
Human telomerase reverse transcriptase mRNA | 20 | 0.833 | 1 | [113] | |
miR-9, miR-145, and miR-944 | 18 | 0.765~0.975 | [114] | ||
RNU2-1f | 23 | 0.856 | 0.67 | 0.91 | [115] |
miR-412, miR640, miR-1537, and miR-3189 | 83 | 0.78~0.81 | 0.5~0.67 | 0.89~0.92 | [116] |
miR-30d-5 and miR-92a-3p | 106 | 0.730, 0.652 | 0.811, 0.657 | 0.605, 0.667 | [117] |
Protein | |||||
CEACAM6 | 73 | 0.74 | 87.5 | 69.1 | [118] |
CEACAM6 | 41 | 0.92 | 83.3 | 93.1 | [119] |
SVV and CA199 | 102 | 0.78, 0.75 | 67.3, 96.4 | 80.9, 46.7 | [120] |
MUC1 | 68 | 0.85 | 90.0 | 76.3 | [121] |
MUC4 | 134 | 27 | 93 | [122] | |
MUC5AC | 46 | 0.85 | 75 | 76.9 | [123] |
Mac-2BP | 78 | 0.70 | 69 | 67 | [124] |
VEGF | 53 | 0.89 | 99.3 | 88.9 | [125] |
MCM2 and MCM5 | 42 | 0.80 | [126] | ||
HSP27 and HSP70 | 20 | 0.86, 0.81 | 90, 80 | 90, 80 | [127] |
SSP411 | 67 | 0.913 * | 90.0 | 83.3 | [128] |
NGAL | 40 | 0.74 | 77.3 | 77.2 | [129] |
NGAL | 38 | 0.76 | 94 | 55 | [130] |
LCN2/NGAL | 144 | 0.81 | 87 | 75 | [131] |
S100P | 24 | 0.861 | 92.9 | 70 | [132] |
sB7-H3 | 323 | 0.878 | 81.2 | 81.6 | [93] |
α-1-antitrypsin | 8 | 0.833 | 80 | 75 | [133] |
Amylase | 239 | 0.751 | 66 | 74 | [134] |
PE-3B/amylase | 68 | 0.877 | 81.8 | 89.3 | [135] |
M2-PK | 167 | 90.3 | 84.3 | [136] | |
GSH, hydrogen peroxide, GPx, Fe2+, and FNTA | 46 | 0.683~0.852 | 67.9~100 | 52.9~76.5 | [137] |
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Lee, S.-H.; Song, S.Y. Recent Advancement in Diagnosis of Biliary Tract Cancer through Pathological and Molecular Classifications. Cancers 2024, 16, 1761. https://doi.org/10.3390/cancers16091761
Lee S-H, Song SY. Recent Advancement in Diagnosis of Biliary Tract Cancer through Pathological and Molecular Classifications. Cancers. 2024; 16(9):1761. https://doi.org/10.3390/cancers16091761
Chicago/Turabian StyleLee, Sang-Hoon, and Si Young Song. 2024. "Recent Advancement in Diagnosis of Biliary Tract Cancer through Pathological and Molecular Classifications" Cancers 16, no. 9: 1761. https://doi.org/10.3390/cancers16091761
APA StyleLee, S. -H., & Song, S. Y. (2024). Recent Advancement in Diagnosis of Biliary Tract Cancer through Pathological and Molecular Classifications. Cancers, 16(9), 1761. https://doi.org/10.3390/cancers16091761