| Literature DB >> 35002508 |
Xin Hu1,2,3, Ronggao Chen3, Qiang Wei1, Xiao Xu1,2,3,4.
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver cancer and has been acknowledged as a leading cause of death among cirrhosis patients. Difficulties in early diagnosis and heterogeneity are obstacles to effective treatment, especially for advanced HCC. Liver transplantation (LT) is considered the best therapy for HCC. Although many biomarkers are being proposed, alpha-fetoprotein (AFP), which was identified over 60 years ago, remains the most utilized. Recently, much hope has been placed in the immunogenicity of AFP to develop novel therapies, such as AFP vaccines and AFP-specific adoptive T-cell transfer (ACT). This review summarizes the performance of AFP as a biomarker for HCC diagnosis and prognosis, as well as its correlation with molecular classes. In addition, the role of AFP in LT is also described. Finally, we highlight the mechanism and application prospects of two immune therapies (AFP vaccine and ACT) for HCC. In general, our review points out the prevalence of AFP in HCC, accompanied by some controversies and novel directions for future research. © The author(s).Entities:
Keywords: Alpha-fetoprotein; Chimeric antigen receptor (CAR) T-cell therapy; Hepatocellular carcinoma; Liver transplantation; T-cell receptor-engineered T-cell therapy
Mesh:
Substances:
Year: 2022 PMID: 35002508 PMCID: PMC8741863 DOI: 10.7150/ijbs.64537
Source DB: PubMed Journal: Int J Biol Sci ISSN: 1449-2288 Impact factor: 6.580
Figure 1The role of AFP in HCC.
Figure 2The origin of AFP in different periods and the hypothesis of AFP overexpression in HCC. AFP is produced by the yolk sac from zygote to three months of pregnancy and by fetal liver and gastrointestinal tract from the fourth week of pregnancy. After birth, AFP is gradually replaced by albumin. The re-secretion of AFP in HCC is thought to be a coaction of enhancers and silencers.
Biomarkers and methods of ANAC for early diagnosis.
| Content | Year | Type | AUC | Sensitivity/Specificity | Population | Ref. |
|---|---|---|---|---|---|---|
| Cmi | 2015 | microRNAs | 0.83 | - | Asian | 52 |
| AFP-L3 | 2015 | protein | 0.61 | 50.0%/97.5% | Asian | 56 |
| GP73 | 2015 | protein | 0.78 | 66.0%/96.2% | Asian | 56 |
| Midkine | 2016 | protein | 0.70 | 70.9%/62.2% | Asian/Africa | 47 |
| FAHB-M | 2016 | regression model | 0.88 | 80.3%/82.9% | Asian | 63 |
| Fuc-PON1 | 2017 | protein | 0.78 | 62.2%/67.7% | Asian | 58 |
| TEMs | 2017 | monocytes | 0.69 | 80.0%/65.5% | Asian | 49 |
| NPM1 + 14-3-3zeta + MDM2 | 2017 | autoantibody | - | 30.4%/91.6% | Asian | 55 |
| metabolomic profiles | 2019 | SCMs | >0.80 | - | Asian | 61 |
| hematological parameters | 2019 | regression model | 0.92 | 83.0%/93.1% | Asian | 66 |
| PA + D-Dimer + Fibrinogen | 2020 | protein | 0.94 | 93.4%/80.8% | Asian | 54 |
| miR-363-5p + miR-765 + PIVKA-II | 2020 | regression model | 0.93 | 79.4%/95.4% | Asian | 57 |
| FPR + GPR | 2020 | protein, platelet | 0.98 | 91.1%/96.5% | Asian | 59 |
| PT/Fbg system | 2020 | clinical examination | 0.68 | - | Asian | 62 |
| DCP | 2020 | protein | 0.73 | 50.6%/91.7% | Asian | 48 |
| P53 +MSH2 + Tm-4 + inflammatory factors + life-history traits | 2020 | regression model | 0.91 | 85.2%/88.3% | Asian | 60 |
ANHC: AFP-negative hepatic carcinoma; Cmi: miRNA classifier; GP73: golgi protein 73; FAHB-M: fluorescence intensity, alpha-fetoprotein, hepatic function test results and blood cell analyses with the model; Fuc-PON1: the ratio of fucosylated serum paraoxonase 1 to the total serum serum paraoxonase 1; TEMs: Tie2-expressing monocytes; SCMs: significantly changed metabolites; PA: pre-albumin; PIVKA-II: vitamin K deficiency or antagonist-II; FPR: fibrinogen to prealbumin ratio; GPR: gamma-glutamyl transpeptidase to platelet ratio; PT: plasma prothrombin time; Fbg: fibrinogen; DCP: des-gamma-carboxyprothrombin; MSH2: MutS homologs 2; Tm-4: tropomyosin-4.
The change of AFP levels in several classes.
| Subtype | AFP level | Relevant Characteristic | Signal pathway | Population | Ref. |
|---|---|---|---|---|---|
| CTNNB1 mutation | low | large size, well-differentiated, intact tumor capsule, microtrabecular and pseudoglandular chistological patterns, tumor cholestasis, a lack of inflammatory infiltrates | IL6/JAK/STAT, Wnt/β | European/ North American | 15, 90, 97 |
| TP53 mutation | high | poor differentiation, macrovascular and microvascular invasion, compact histological pattern, foci of sarcomatous changes, pleomorphic and multinucleated cells, a lack of tumor cholestasis | PI3K/AKT | European/Asian | 15, 91-97 |
| G1/G2/G3 subclasses | high | high cell proliferation, chromosomal instability, female gender, hemochromatosis, HBV infection | Cell cycle, proliferation, DNA metabolism | European | 97 |
| S2 | high | large size, poor-differentiated, high proliferation | MYC and AKT | Asian | 85, 100 |
| GPC3+ | high | thick trabecular pattern and compact variants, vascular invasion, distant metastasis, short survival time | - | Asian | 99 |
MTM-HCC: macrotrabecular-massive subtype of HCC; OS: overall survival; GPC3: Glypican-3.
The role of AFP in LT.
| Study | No. | AFP cut value | Type | Population | Ref. |
|---|---|---|---|---|---|
| Yang et al, 2007 | 63 | ≤ 20, 20.1 to 200, 200.1 to 1000, > 1000 ng/mL | candidate selection | Asian | 108 |
| Toso et al, 2009 | 6478 | 400 ng/mL | candidate selection | North American | 117 |
| Duvoux et al, 2012 | 537 | log10AFP (Simplified: AFP ≤ 100, 100 to 100, > 1000 ng/mL) | candidate selection | European | 113 |
| Lai et al, 2012 | 158 | 400 ng/mL | candidate selection | European | 112 |
| Lai et al, 2013 | 422 | AFP slope: 15 ng/mL/month | Prediction | European | 130 |
| Toso et al, 2014 | 49026 | 400 ng/mL | candidate selection | North American | 122 |
| Grąt et al, 2014 | 121 | 100 ng/ml; 200mg/ml | candidate selection | European | 134 |
| Vitale et al, 2014 | 4399 | 100, 100 to 100, > 1000 ng/mL | candidate selection | European | 123 |
| Marvin et al, 2015 | 41801 | Log AFP: 0 to 1.61, 1.61 to 2.48, 2.48 to 3.93, 3.93 to 10.9 (MELDCALC-EQ = 1.143MELD + 1.324 (log AFP) + 1.438 (TumorNum) + 1.194(MaxTumorSize) + c(t), where c(t) = -2/0.146 if t < 6 months and c(t) = -1/0.146 if t ≥ 6 months) | candidate selection | North American | 121 |
| Xu et al, 2016 | 6012 | 400 ng/mL | candidate selection | Asian | 13 |
| Lai et al, 2016 | 179 | AFP slope: 15 ng/mL/month | prediction | European | 128 |
| Hong et al, 2016 | 123 | 200 ng/ml | prediction | Asian | 131 |
| Sasaki et al, 2017 | 420 | HALT-HCC = (1·27 × TBS) + (1·85 × lnAFP) + (0·26 × MELD-Na) | prediction | North American | 125 |
| Halazun et al, 2017 | 339 | 200 ng/ml | prediction | North American | 109 |
| Mehta et al, 2017 | 721 | 0-20, 21-99, 100-999, ≥1000 ng/ml | prediction | North American | 118 |
| Lai et al, 2017 | 2103 | 20 ng/ml, 1000 ng/ml | candidate selection | European | 124 |
| Mazzaferro, 2018 | 1018 | <200, 200-400 ng/mL, 400-1000, >1000 ng/ml | candidate selection | European | 120 |
| Halazun et al, 2018 | 1450 | <200, 200-1000, >1000 ng/ml | candidate selection | North American | 110 |
| Eilard et al, 2018 | 336 | <99, 100-999, >1000 ng/ml | candidate selection | European | 135 |
| Ding et al, 2020 | 93 | 144ng / ml | prediction | Asian | 132 |
LT: liver transplantation; AFP: alpha‐fetoprotein; TTV: total tumor volume; TTD: total tumor diameter; MELD: model for end‐stage liver disease; deMELD: dropout equivalent calculated equivalent Model for End-Stage Liver Disease; UCSF: University of California: San Francisco; MELDCALC-EQ: calculated equivalent Model for End-Stage Liver Disease; TRAIN: time-radiological-response-alpha-fetoprotein-inflammation; LRT: loco-regional treatment; NLR: neutrophil-to-lymphocyte ratio; 18F-FDG PET/CT: 18F-fluorodeoxyglucose positron emission tomography/computed tomography; HALT-HCC: Hazard Associated with Liver Transplantation for Hepatocellular Carcinoma; TBS: tumor burden score; MELD-Na: MELD-sodium; MORAL: model of recurrence after liver transplant; RETREAT: risk estimation of tumor recurrence after transplant; NYCA: New York/California.
Figure 3Summary of several metrics used in proposed criteria. TTV: total tumor volume; TTD: total tumor diameter; deMELD: dropout equivalent calculated equivalent Model for End-Stage Liver Disease; MELDEQ: equivalent Model for End-Stage Liver Disease; TRAIN: time-radiological-response-alpha-fetoprotein-inflammation; HALT-HCC: Hazard Associated with Liver Transplantation for Hepatocellular Carcinoma; MORAL: model of recurrence after liver transplant; RETREAT: risk estimation of tumor recurrence after transplant; NYCA: New York/California; MELD: model for end‐stage liver disease; LRT: loco-regional treatment; NLR: neutrophil-to-lymphocyte ratio; 18F-FDG PET: 18F-fluorodeoxyglucose positron emission tomography.
Figure 4The process of AFP performing as a tumor antigen in CAR T-cell or TCR T-cell therapy. CAR: Chimeric antigen receptor; TCR: T cell receptor; MHC: major histocompatibility complex.