Literature DB >> 28993684

The prognostic correlation of AFP level at diagnosis with pathological grade, progression, and survival of patients with hepatocellular carcinoma.

Dou-Sheng Bai1, Chi Zhang1, Ping Chen1, Sheng-Jie Jin1, Guo-Qing Jiang2.   

Abstract

The purpose of this study was to conduct a comprehensive study of the clinical correlation between the alpha-fetoprotein (AFP) level at diagnosis and pathological grades, progression, and survival of patients with hepatocellular carcinoma (HCC). A total of 78,743 patients in Surveillance, Epidemiology, and End Results Program (SEER)-registered HCC was analyzed. The AFP test results for patients with HCC were mainly recorded as AFP-negative and AFP-positive. Logistic regression analysis revealed that the AFP level at diagnosis was an independent risk factor of pathological grade (odds ratio [OR], 2.559; 95% confidence interval [CI], 2.075-3.157; P < 0.001), TNM-7 stage (OR, 2.794; CI, 2.407-3.242; P < 0.001), and tumor size (OR, 1.748; 95% CI, 1.574-1.941; P < 0.001). Multivariable Cox regression analyses identified AFP level as an independent predictor of survival risk of patients with HCC who did not undergo surgery (hazard ratio [HR], 1.660; 95% CI, 1.534-1.797; P < 0.001), and those who underwent surgery (HR, 1.534; 95% CI, 1.348-1.745; P < 0.001). The AFP level at diagnosis was an independent risk predictor associated with pathological grade, progression, and survival. Further, surgery may not significantly reverse the adverse effects of AFP-positive compared with AFP-negative.

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Year:  2017        PMID: 28993684      PMCID: PMC5634482          DOI: 10.1038/s41598-017-12834-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Hepatocellular carcinoma (HCC) is the sixth most prevalent tumor worldwide and the third leading cause of cancer-related death[1]. More than 250,000 new cases of HCC occur annually, and approximately 500,000–600,000 patients die each year[2,3]. It is therefore critically important to identify factors that correlate with pathological grade, progression, and prognosis of survival. Serum alpha-fetoprotein (AFP) is the most widely used serological marker to establish a diagnosis of HCC and was included in international guidelines for HCC surveillance[4-6]. Approximately 50% of HCCs secrete AFP[7,8], and a plasma AFP concentration >400 ng/ml is generally considered a reliable for supporting the diagnosis of HCC. Because the accuracy of the AFP concentration was challenged as well as a growing debate about its ongoing use for HCC surveillance programs, AFP was removed from updated international guidelines for HCC surveillance. However, many reports suggest a rationale for the continued use of AFP[9-11]. To identify the clinical significance of AFP levels, in the present study we analyzed the comprehensive clinical relationship between the AFP levels and pathological grades, progression, and survival of patients with HCC using the data for patients with HCC that were deposited in the cancer registry of the Surveillance, Epidemiology, and End Results (SEER) Program from 1988 through 2013.

Results

Baseline Patient Characteristics

A comparative analysis of baseline demographics and tumor characteristics of the AFP-negative and AFP-positive groups revealed that the former included higher proportions of patients≥60 years of age (62.2%), White (73.6%) and married (56.7%) patients, well/moderately differentiated tumors (85.9%), TNM-7-stage I/II tumors (76.5%), tumors ≤5 cm in diameter (64.4%), and F0 tumors (22.8%) (all P < 0.05). The proportions of men and women did not differ significantly in the two groups (Table 1).
Table 1

Baseline demographic and tumor characteristics of patients with AFP-negative and AFP-positive.

CharacteristicTotalAFP P
NegativePositive
N N (%) N (%)
Sex388200.057
Male7172 (78.1)22872 (77.2)3.610
Female2009 (21.9)6767 (22.8)
Age38820<0.001
<603466 (37.8)13069 (44.1)115.306
≥605715 (62.2)16570 (55.9)
Race38674<0.001
White6731 (73.6)19273 (65.3)313.483
Black802 (8.8)4604 (15.6)
Other*1610 (17.6)5654 (19.1)
Pathological grade14007<0.001
Well/Moderate3587 (85.9)7026 (71.5)334.795
Poor/Anaplastic587 (14.1)2807 (28.5)
TNM 7 Stage17102<0.001
I/II3403 (76.5)6892 (54.5)668.522
III/IV1044 (23.5)5763 (45.5)
Tumor Size32714<0.001
≤5 cm5343 (64.4)12788 (52.4)360.653
>5 cm2957 (35.6)11626 (47.6)
Fibrosis10714<0.001
F0 629 (22.8)1367 (17.2)43.184
F1†† 2126 (77.2)6592 (82.8)
Marital Status37381<0.001
Married5012 (56.7)14897 (52.2)53.577
Non-married# 3835 (43.3)13637 (47.8)

*Other includes American Indian/Alaskan native, and Asian/Pacific Islander.

†F0, equivalent to Ishak score 0–4.

††F1, equivalent to Ishak score 5–6.

#Non-married includes widowed, never married, divorced, separated, unmarried and domestic Partner.

Baseline demographic and tumor characteristics of patients with AFP-negative and AFP-positive. *Other includes American Indian/Alaskan native, and Asian/Pacific Islander. †F0, equivalent to Ishak score 0–4. ††F1, equivalent to Ishak score 5–6. #Non-married includes widowed, never married, divorced, separated, unmarried and domestic Partner.

Association between AFP levels and pathological grades

From an initial sample of 105,806 patients identified with liver cancer, 3796 fulfilled our eligibility criteria for evaluating the association of AFP levels with pathological grades (Fig. 1). There were lower proportions of other races (19.6%), “F0” tumors (28.8%), and AFP-positive tumors (66.0%) in patients with well/moderately differentiated tumors compared with those with poorly differentiated/anaplastic tumors (all P < 0.05). Logistic regression analysis revealed that the AFP level was an independent predictor of pathological grade (odds ratio [OR], 2.559; 95% confidence interval [CI], 2.075 to 3.157; P < 0.001) (Table 2). Further, poorly differentiated/anaplastic tumors were significantly more prevalent in the AFP-positive group compared with those in the AFP-negative group (22.8% vs 10.5%, P < 0.001). Moreover, 83.0% of tumors were AFP-positive in the poorly differentiated/anaplastic group, whereas 66.0% were classified as AFP-positive in the well/moderately group (P < 0.001) (Table 2).
Figure 1

CONSORT diagram. Patients with HCC and the required clinical data between 1988 and 2013 were selected from the cancer registries of the Surveillance, Epidemiology, and End Results Program.

Table 2

Univariate and logistic multivariable regression analysis of the association of AFP levels with tumor cell differentiation.

Variablepathological gradeχ2 test P logistic regression analysis P
Well/ModeratePoor/Anaplastic
(n = 3073) N (%) (n = 723) N (%)
Sex0.1510.698NI
Male2388 (77.7)557 (77.0)
Female685 (22.3)166 (23.0)
Age<0.0010.992NI
<601365 (44.4)321 (44.4)
≥601708 (55.6)402 (55.6)
Race31.811<0.001<0.001
White2102 (68.4)430 (59.5)Reference
Black370 (12.0)83 (11.5)0.983 (0.756–1.277)0.895
Other*601 (19.6)210 (29.0)1.633 (1.346–1.980)<0.001
Fibrosis4.7670.0290.822 (0.687–0.984)0.032
F0 885 (28.8)238 (32.9)
F1†† 2188 (71.2)485 (67.1)
AFP79.079<0.0012.559 (2.075–3.157)<0.001
Negative1044 (34.0)123 (17.0)
Positive2029 (66.0)600 (83.0)
Marital Status0.0280.867NI
Married1847 (60.1)437 (60.4)
Non-married# 1226 (39.9)286 (39.6)

*Other includes American Indian/Alaska native, and Asian/Pacific Islander.

†F0, equivalent to Ishak score 0–4.

††F1, equivalent to Ishak score 5–6.

#Non-married includes widowed, never married, divorced, separated, unmarried, and domestic partner. NI: not included in the logistic multivariable regression analysis.

CONSORT diagram. Patients with HCC and the required clinical data between 1988 and 2013 were selected from the cancer registries of the Surveillance, Epidemiology, and End Results Program. Univariate and logistic multivariable regression analysis of the association of AFP levels with tumor cell differentiation. *Other includes American Indian/Alaska native, and Asian/Pacific Islander. †F0, equivalent to Ishak score 0–4. ††F1, equivalent to Ishak score 5–6. #Non-married includes widowed, never married, divorced, separated, unmarried, and domestic partner. NI: not included in the logistic multivariable regression analysis.

Association between AFP levels and TNM-7 stage (HCC progression)

The eligibility criteria for evaluating the association of AFP levels on TNM-7 stage were met by 5574 patients (Fig. 1). There were greater proportions of women (P < 0.001), Whites (P < 0.001), F1 tumors (P = 0.003), AFP-negative tumors (P < 0.001), and married patients (P = 0.002) among patients with TNM-7 stage I/II tumors compared with those with TNM-7-stage III/IV tumors (Table 3). Logistic regression analysis revealed that the AFP level was an independent predictor of TNM-7 stage (OR, 2.794; 95% CI, 2.407–3.242; P < 0.001) (Table 3). Further, TNM-7-stage I/II tumors were significantly more prevalent in the AFP-negative group with those in the AFP-positive group (82.8% vs 63.8%, P < 0.001). Compared with patients with TNM-stage I/II, patients with TNM-7-stage III/IV had a higher proportion of tumors associated with AFP-positive (P < 0.001) (Table 3).
Table 3

Univariate and logistic multivariable regression analysis of the association of AFP level with TNM-7 stage.

VariableTNM-7 Stageχ2 test P logistic regression analysis P
I/IIIII/IV
(n = 3853) N (%) (n = 1721) N (%)
Sex31.659<0.0010.626 (0.540–0.725)<0.001
Male2908 (75.5)1416 (82.3)
Female945 (24.5)305 (17.7)
Age2.7120.100NI
<601575 (40.9)744 (43.2)
≥602278 (59.1)977 (56.8)
Race14.397<0.0010.141
White2721 (70.6)1148 (66.7)Reference
Black454 (11.8)264 (15.3)1.177 (0.992–1.398)0.062
Other*678 (17.6)309 (18.0)1.082 (0.925–1.266)0.326
Fibrosis8.7830.0030.718 (0.615–0.839)<0.001
F0 598 (15.5)322 (18.7)
F1†† 3255 (84.5)1399 (81.3)
AFP189.206<0.0012.794 (2.407–3.242)<0.001
Negative1284 (33.3)266 (15.5)
Positive2569 (66.7)1455 (84.5)
Marital Status9.5580.0021.193 (1.059–1.344)0.004
Married2071 (53.8)848 (49.3)
Non-married# 1782 (46.2)873 (50.7)

*Other includes American Indian/Alaska native, and Asian/Pacific Islander.

†F0, equivalent to Ishak score 0–4.

††F1, equivalent to Ishak score 5–6.

#Non-married includes widowed, never married, divorced, separated, unmarried, and domestic partner. NI: not included in the logistic multivariable regression analysis.

Univariate and logistic multivariable regression analysis of the association of AFP level with TNM-7 stage. *Other includes American Indian/Alaska native, and Asian/Pacific Islander. †F0, equivalent to Ishak score 0–4. ††F1, equivalent to Ishak score 5–6. #Non-married includes widowed, never married, divorced, separated, unmarried, and domestic partner. NI: not included in the logistic multivariable regression analysis.

Association between AFP levels and tumor size (HCC progression)

The eligibility criteria for evaluating the association of AFP levels with tumor size were met by 9336 patients (Fig. 1). The population of patients with tumors ≤5 cm included a greater proportion of women (P < 0.001) and patients aged <60 years (P = 0.002), more Whites (P < 0.001), a greater proportion of tumors associated with F1 fibrosis (P < 0.001), and AFP-negative tumors (P < 0.001) compared with patients with tumors >5 cm (Table 4). Logistic regression analysis identified the AFP level as an independent predictor of tumor size (OR, 1.748; 95% CI, 1.574–1.941; P < 0.001) (Table 4). Further, tumors ≤5 cm were significantly more prevalent in the AFP-negative group compared with those in the AFP-positive group (74.0% % vs 63.7%; P < 0.001) (Table 4).
Table 4

Univariate and logistic multivariable regression analysis of the association of AFP level with tumor size.

Variabletumor sizeχ2 test P logistic regression analysis P
≤5 cm>5 cm
(n = 6207) N (%) (n = 3129) N (%)
Sex13.567<0.0010.769 (0.690–0.857)<0.001
Male4740 (76.4)2495 (79.7)
Female1467 (23.6)634 (20.3)
Age9.3380.0021.159 (1.060–1.267)0.001
<602901 (46.7)1358 (43.4)
≥603306 (53.3)1771 (56.6)
Race21.081<0.0010.050
White4330 (69.8)2037 (65.1)Reference
Black703 (11.3)399 (12.8)1.101 (0.961–1.263)0.167
Other*1174 (18.9)693 (22.1)1.136 (1.017–1.270)0.024
Fibrosis227.755<0.0010.434 (0.390–0.484)<0.001
F0 890 (14.3)852 (27.2)
F1†† 5317 (85.7)2277 (72.8)
AFP85.791<0.0011.748 (1.574–1.941)<0.001
Negative1854 (29.9)653 (20.9)
Positive4353 (70.1)2476 (79.1)
Marital Status0.7720.380NI
Married3410 (54.9)1689 (54.0)
Non-married# 2797 (45.1)1440 (46.0)

*Other includes American Indian/Alaska native, and Asian/Pacific Islander.

†F0, equivalent to Ishak score 0–4.

††F1, equivalent to Ishak score 5–6.

#Non-married includes widowed, never married, divorced, separated, unmarried, and domestic partner. NI: not included in the logistic multivariable regression analysis.

Univariate and logistic multivariable regression analysis of the association of AFP level with tumor size. *Other includes American Indian/Alaska native, and Asian/Pacific Islander. †F0, equivalent to Ishak score 0–4. ††F1, equivalent to Ishak score 5–6. #Non-married includes widowed, never married, divorced, separated, unmarried, and domestic partner. NI: not included in the logistic multivariable regression analysis.

Association between AFP levels and survival

Analysis of the association between AFP levels and HCSS of 25,340 patients who did not undergo surgery and met the initial eligibility criteria, revealed that patients with AFP-negative had better 1-year, 3-year, and 5-year HCSS (P < 0.001) compared with those with AFP-positive (Fig. 2A and Table 5).
Figure 2

Survival curves based on Kaplan-Meier analysis according to AFP level. Survival curves based on Kaplan–Meier analysis that compare the association of “negative-AFP” and “positive-AFP” with HCC cause-specific survival of (A) patients who had not undergone surgery, (B) patients for whom surgery was recommended but not performed, and (C) patients who had undergone surgery.

Table 5

Kaplan-Meier analysis of the association of AFP-negative and AFP-positive on survival.

VariableTotal1-year HCCS3-year HCCS5-year HCCSLog rank χ2 test P
AFP (surgery not performed)25340714.746<0.001
Negative491348.5%23.5%14.7%
Positive2042728.4%10.6%6.1%
AFP (surgery recommended but not performed)127756.788<0.001
Negative27860.6%24.9%14.8%
Positive99934.2%9.9%5.5%
AFP (surgery performed)8477140.656<0.001
Negative281388.6%67.2%54.6%
Positive566478.6%52.7%40.6%

Abbreviations: HCSS, hepatocellular carcinoma-specific survival.

Survival curves based on Kaplan-Meier analysis according to AFP level. Survival curves based on Kaplan–Meier analysis that compare the association of “negative-AFP” and “positive-AFP” with HCC cause-specific survival of (A) patients who had not undergone surgery, (B) patients for whom surgery was recommended but not performed, and (C) patients who had undergone surgery. Kaplan-Meier analysis of the association of AFP-negative and AFP-positive on survival. Abbreviations: HCSS, hepatocellular carcinoma-specific survival. Univariate analysis of 5931 patients using the Kaplan–Meier method was conducted to evaluate the association between AFP levels and survival of patients with HCC who did not undergo surgery. Sex (P = 0.002), race (P < 0.001), degree of fibrosis (P = 0.022), AFP level (P < 0.001), and marital status (P < 0.001) were identified as significant risk factors for poor survival. Multivariable Cox regression analysis identified sex (HR, 0.883; 95% CI, 0.819–0.952; P = 0.001), degree of fibrosis (HR, 0.880; 95% CI, 0.808–0.959; p = 0.004), AFP level (HR, 1.660; 95% CI, 1.534–1.797; P < 0.001), marital status (HR, 1.133; 95% CI, 1.066–1.203; P < 0.001), and race as independent predictors of survival (Fig. 3A and Supplementary Table S1).
Figure 3

Survival curves generated using Cox models according to AFP level. Survival curves generated using Cox models that compare the association of “negative-AFP” and “positive-AFP” with hepatocellular carcinoma-specific survival of (A) patients who had not undergone surgery, (B) patients for whom surgery was recommended but not performed, and (C) patients who had undergone surgery.

Survival curves generated using Cox models according to AFP level. Survival curves generated using Cox models that compare the association of “negative-AFP” and “positive-AFP” with hepatocellular carcinoma-specific survival of (A) patients who had not undergone surgery, (B) patients for whom surgery was recommended but not performed, and (C) patients who had undergone surgery. A second analysis evaluated the relationship between AFP levels and HCSS of 1277 patients who met the initial eligibility criteria for patients with HCC recommended for surgery that was not performed. Kaplan–Meier analyses revealed that patients with AFP-negative had better 1-year, 3-year, and 5-year HCSS (P < 0.001) compared with those with AFP-positive (Fig. 2B and Table 5). Further analysis of 296 patients was conducted to evaluate the association between AFP levels and HCSS of patients recommended for surgery that was not performed. Univariate analysis performed using Kaplan–Meier methods identified the degree of fibrosis (P = 0.002) and AFP levels (P < 0.001) as significant risk factors for poor survival. Multivariable Cox regression analysis identified the degree of fibrosis (HR, 0.617; 95% CI, 0.451–0.843; P = 0.002) and AFP levels (HR, 1.728; 95% CI, 1.262–2.365; P < 0.001) as independent predictors for survival (Fig. 3B and Supplementary Table S2). A third analysis of 8477 patients with HCC who met the initial eligibility criterion of undergoing surgery was conducted to evaluate the association between AFP levels and HCSS. Kaplan–Meier analysis revealed that patients with AFP-negative had better 1-year, 3-year, and 5-year HCSS (P < 0.001) compared with those with AFP-positive (Fig. 2C and Table 5). A continued analysis of 3065 patients was conducted to evaluate the association between AFP levels and HCSS of patients who underwent surgery. Age (P = 0.002), race (P < 0.001), AFP levels (P < 0.001), and marital status (P < 0.001) were identified as significant risk factors for poor survival. Multivariable Cox regression analysis identified age (HR, 1.254; 95% CI, 1.118–1.406; P < 0.001), AFP level (HR, 1.534; 95% CI, 1.348–1.745; P < 0.001), marital status (HR, 1.284; 95% CI, 1.142–1.443; P < 0.001), and race as independent predictors of survival (Fig. 3C and Supplementary Table S3).

Discussion

We show here that the AFP level was an independent risk factor associated with tumor differentiation, TNM stage, tumor size, and survival of patients with HCC. AFP-positive was associated with less differentiated tumors, more advanced TNM stage, larger tumors, and inferior survival compared with AFP-negative. Previous studies found that elevated AFP levels are associated with higher pathological grade[12,13], more advanced Barcelona Clinic Liver Cancer stage[14], TNM stage[15], and larger tumors[15,16]. These discoveries are similar to the present results, although the former may be limited by the relatively small number of subjects. Pathological grade[17-19], TNM-7 stage[20-23], and tumor size[23,24] are independent risk factors for survival, suggesting that patients with HCC with AFP-positive experience relatively poor survival. The findings of the present study support these conclusions and verify that the AFP level is an independent and negative prognostic factor for survival of patients with HCC who did not undergo surgery, including those recommended for surgery. Moreover, the present study shows that even after liver resection, the AFP level at diagnosis was an independent risk factor for survival. The results show that the OR value of survival (1.534) of patients who underwent surgery did not significantly decrease compared with those who did not undergo surgery (1.660) or for those recommended for surgery that was not performed (1.728). These findings suggest that surgery may not significantly reverse the adverse effect of AFP-positive on HCC. Therefore, postoperative adjuvant therapy may be important for managing HCC patients with AFP-positive, which is consistent with the results of previous studies[13,25]. Further, the present study reveals that AFP-positive was associated with worse 5-year HCSS compared with AFP-negative, which is inconsistent with previous findings[26,27]. For example, a randomized clinical trial found that the preoperative AFP level does not correlate with postoperative survival of patients with HCC, likely because of the heterogeneity of tumor stages[26]. Further, another study found that the AFP level does not have prognostic significance for patients with HCC with small tumors(≤3-cm diameter) who were treated with curative intent (liver resection, liver transplantation, radiofrequency thermal ablation, percutaneous ethanol injection). Because of the heterogeneity among therapies with curative intent, the associations require further analysis[27]. AFP is associated with oncogenic effects. For example, AFP promotes cell proliferation[28]. Moreover, AFP stimulates cell motility and invasive growth of some HCC cell lines in vitro as well as the formation of metastases in a mouse xenograft model[29]. Therefore, recurrence and metastases may be more frequently associated with AFP-positive than AFP-negative. The patients with AFP-positive with unfavorable tumor phenotypes may explain why AFP-positive did not confer a survival benefit after surgery compared with patients with AFP-negative. The present study is limited by the lack of data in the SEER HCC database for adjuvant therapy, comorbidities, recurrence, and the positive or negative levels of AFP. In conclusion, to our knowledge, to date, the present study of SEER data collected over 25 years represents the most comprehensive clinical analysis of AFP levels and reveals that the AFP level is an independent risk factor associated with pathological grade, progression, and survival of patients with HCC. Thus, AFP-positive was associated with higher pathological grades, more advanced TNM-7 stage, larger tumors, and inferior survival compared with AFP-negative, suggesting that oncologists should follow patients with HCC more closely and adjust treatment of those with AFP-positive as required. Further, patients with AFP-positive may require individualized adjuvant therapy after surgery vs those with AFP-negative. The present study suggests it may be necessary for the continued use of AFP.

Methods

Patient selection in the SEER database

The SEER database maintained by the United States National Cancer Institute is an authoritative source of information on cancer incidence and survival and the largest registry of cancer patients in the US, comprising approximately 30% of the country’s population[30]. In the SEER database, AFP test data acquired from medical records of patients with HCC is recorded as AFP-negative, AFP-positive, and other uncertain or unknown information. The fibrosis (or Ishak) score[31], is an indicator of underlying liver disease with prognostic significance. The SEER database classifies fibrosis according to scores defined by the American Joint Committee on Cancer (AJCC), ranging from 0 to 4 (undetectable to moderate fibrosis), defined as “F0”, and 5 to 6 (severe fibrosis or cirrhosis), defined as “F1”. Here we used the degrees of liver fibrosis defined as “F0” and “F1. The study cohort was assembled using data associated with HCC (1988–2013) from the 18 SEER incidence registries of Research Data + Hurricane Katrina Impacted Louisiana Cases. We initially identified 105,806 patients who matched Site recode ICD-O-3/WHO 2008 = liver and Behavior recode = Malignant for liver cancer. This number was reduced to 78,743 by selecting those with Histologic Type ICD-O-3 (codes 8170, 8171, 8172, 8173, 8174, or 8175) and then to 33,820 by further selecting those with AFP tests at diagnosis recorded as AFP-negative or AFP-positive. AFP-negative and AFP-positive were documented for 9181 (23.7%) and 29,639 (76.3%) patients, respectively. Sex and age data were available for 38,820 patients, and race information was available for 38,674. Pathological grade, TNM-7 stage, tumor size, degree of fibrosis, and marital status data were available for 14,007, 17,102, 32,102, 10,714, and 37,381 patients, respectively (Table 1). Of patients with sufficient data for sex, age, race, degree of fibrosis, AFP level, and marital status, 3796, 5574, and 9336 had data for pathological grade, TNM-7 stage, and tumor size, respectively. The data for pathological grade, TNM-7 stage, and tumor size were analyzed using the χ2 test, and logistic regression analysis was used to evaluate their associations with AFP-negative or AFP-positive. Kaplan–Meier survival analysis was performed to evaluate AFP levels associated with the variables as follows: (i) surgery not performed; (ii) surgery recommended but not performed; and (iii) surgery performed. The number of patients included in each category depended on whether patients met the criteria as follows: First, we excluded patients <18 years of age at diagnosis; or those with multiple primary cancers, of which the HCC was not the first; or those with an unknown cause of death or an unknown duration of survival. This left 25,340, 1277, and 8477 concordant patients, respectively, in the categories described above (Fig. 1). Patients who did not undergo surgery were required to meet one of the inclusion criteria as follows: (i) surgery not recommended; (ii) surgery not recommended, contraindicated because of other conditions; (iii) surgery not performed, patient died before the recommended surgery; (iv) surgery recommended but not performed, because the patient refused; or (v) surgery recommended but not performed, reason unknown. Patients who were recommended for surgery but refused were required to meet one of the following criteria as follows: (i) surgery recommended but not performed, because the patient refused; or (ii) surgery recommended but not performed, reason unknown. Univariate and multivariable survival analyses were performed to evaluate the associations of AFP levels with survival of HCC patients who did not undergo surgery, those recommended for surgery that was not performed, or those who underwent surgery. Before performing these analyses, we excluded patients >18 years of age upon diagnosis; or those with multiple primary cancers, of which the HCC was not the first; or those with an unknown cause of death or unknown time of survival. Further inclusion criteria were as follows: sufficient information for sex, age, race, fibrosis, AFP levels, and marital status. Multivariable survival analyses included 5931 patients with HCC who had not undergone surgery, 296 recommended for surgery that was not performed, and 3065 who underwent surgery (Fig. 1).

Statistical Analysis

Patients were classified as “married,” or “non-married.” “Non-married” included widowed, never married, divorced, separated, unmarried, and domestic partner. Other races other than White or Black included American Indian/Alaska Native, and Asian/Pacific Islander. TNM stages were assigned according to the criteria described in the AJCC Cancer Staging Manual (7th Edition). A primary focus of the present study was HCC-specific survival (HCSS), which was determined from the dates of diagnosis of HCC and HCC cause-specific death. Deaths attributed to HCC were treated as events and deaths from other causes as censored observations. The χ2 test was used to compare the characteristics of the “AFP-negative” and “AFP-positive” groups, well/moderately, and poorly differentiated/anaplastic tumors, TNM-7 stages I/II and III/IV, and tumors ≤5 cm or >5 cm in diameter. Binary logistic regression analysis was used to evaluate the associations of AFP levels with pathological grade, TNM-7 stage, and tumor size. Differences in survival were assessed using two-sided Kaplan–Meier log-rank tests of the characteristics of patients with HCC who did not undergo surgery, who were recommend for surgery that was not performed, or those who underwent surgery. Multivariable Cox regression analyses were conducted to estimate the association of AFP levels with survival of patients with HCC who did not undergone surgery, for those recommended for surgery that was not performed, or for those who underwent surgery. All statistical analyses were performed using SPSS for Windows, version 22.0 (IBM, Armonk, NJ, USA). the Supplementary Information
  30 in total

Review 1.  Management of hepatocellular carcinoma in Asia: consensus statement from the Asian Oncology Summit 2009.

Authors:  Donald Poon; Benjamin O Anderson; Li-Tzong Chen; Koichi Tanaka; Wan Yee Lau; Eric Van Cutsem; Harjit Singh; Wan Cheng Chow; London Lucien Ooi; Pierce Chow; Maung Win Khin; Wen Hsin Koo
Journal:  Lancet Oncol       Date:  2009-11       Impact factor: 41.316

Review 2.  Alpha-foetoprotein (AFP): A multi-purpose marker in hepatocellular carcinoma.

Authors:  Chloé Sauzay; Alexandra Petit; Anne-Marie Bourgeois; Jean-Claude Barbare; Bruno Chauffert; Antoine Galmiche; Aline Houessinon
Journal:  Clin Chim Acta       Date:  2016-10-11       Impact factor: 3.786

3.  Prognostic impact of underlying liver fibrosis and cirrhosis after curative resection of hepatocellular carcinoma.

Authors:  Peter Gassmann; Tilmann Spieker; Joerg Haier; Fabian Schmidt; Wolf Arif Mardin; Norbert Senninger
Journal:  World J Surg       Date:  2010-10       Impact factor: 3.352

Review 4.  Histological grading and staging of chronic hepatitis.

Authors:  K Ishak; A Baptista; L Bianchi; F Callea; J De Groote; F Gudat; H Denk; V Desmet; G Korb; R N MacSween
Journal:  J Hepatol       Date:  1995-06       Impact factor: 25.083

Review 5.  Hepatocellular carcinoma.

Authors:  Alejandro Forner; Josep M Llovet; Jordi Bruix
Journal:  Lancet       Date:  2012-02-20       Impact factor: 79.321

6.  Corelation of serum alpha fetoprotein and tumor size in hepatocellular carcinoma.

Authors:  Amanullah Abbasi; Abdul Rabb Bhutto; Nazish Butt; Syed Mohammad Munir
Journal:  J Pak Med Assoc       Date:  2012-01       Impact factor: 0.781

7.  Targeting alpha-fetoprotein represses the proliferation of hepatoma cells via regulation of the cell cycle.

Authors:  Hua Tang; Xiao-Yan Tang; Min Liu; Xin Li
Journal:  Clin Chim Acta       Date:  2008-04-24       Impact factor: 3.786

8.  Distinguished prognosis after hepatectomy of HBV-related hepatocellular carcinoma with or without cirrhosis: a long-term follow-up analysis.

Authors:  Sheng-Li Yang; Li-Ping Liu; Yun-Fan Sun; Xing-Rong Yang; Jia Fan; Jian-Wei Ren; George G Chen; Paul B S Lai
Journal:  J Gastroenterol       Date:  2015-11-25       Impact factor: 7.527

9.  Prognostic factors of hepatocellular carcinoma patients treated by transarterial chemoembolization.

Authors:  Jun Xiao; Guojian Li; Shuhan Lin; Ke He; Hao Lai; Xianwei Mo; Jiansi Chen; Yuan Lin
Journal:  Int J Clin Exp Pathol       Date:  2014-02-15

10.  Management of hepatocellular carcinoma: an update.

Authors:  Jordi Bruix; Morris Sherman
Journal:  Hepatology       Date:  2011-03       Impact factor: 17.425

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  58 in total

1.  Diagnostic Value of Different Phenotype Circulating Tumor Cells in Hepatocellular Carcinoma.

Authors:  Yuan Cheng; Lei Luo; Juqiang Zhang; Mantian Zhou; Yujun Tang; Guolin He; Yishi Lu; Zhong Wang; MingXin Pan
Journal:  J Gastrointest Surg       Date:  2019-02-25       Impact factor: 3.452

2.  Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature.

Authors:  Minghui Wu; Hongna Tan; Fei Gao; Jinjin Hai; Peigang Ning; Jian Chen; Shaocheng Zhu; Meiyun Wang; Shewei Dou; Dapeng Shi
Journal:  Eur Radiol       Date:  2018-11-07       Impact factor: 5.315

3.  Preoperative alpha-fetoprotein (AFP) in hepatocellular carcinoma (HCC): is this 50-year biomarker still up-to-date?

Authors:  Fabrice Muscari; Charlotte Maulat
Journal:  Transl Gastroenterol Hepatol       Date:  2020-10-05

4.  Outcomes Based on Plasma Biomarkers for the Phase 3 CELESTIAL Trial of Cabozantinib versus Placebo in Advanced Hepatocellular Carcinoma.

Authors:  Lorenza Rimassa; Robin Kate Kelley; Tim Meyer; Baek-Yeol Ryoo; Philippe Merle; Joong-Won Park; Jean-Frederic Blanc; Ho Yeong Lim; Albert Tran; Yi-Wah Chan; Paul McAdam; Evelyn Wang; Ann-Lii Cheng; Anthony B El-Khoueiry; Ghassan K Abou-Alfa
Journal:  Liver Cancer       Date:  2021-12-03       Impact factor: 11.740

5.  Interleukin-6 as a biomarker in patients with hepatobiliary cancers.

Authors:  Rohit Gosain; Sidra Anwar; Austin Miller; Renuka Iyer; Sarbajit Mukherjee
Journal:  J Gastrointest Oncol       Date:  2019-06

6.  Serum Alpha-fetoprotein Levels and Clinical Outcomes in the Phase III CELESTIAL Study of Cabozantinib versus Placebo in Patients with Advanced Hepatocellular Carcinoma.

Authors:  Rajesh Kaldate; Robin Kate Kelley; Tim Meyer; Lorenza Rimassa; Philippe Merle; Joong-Won Park; Thomas Yau; Stephen L Chan; Jean-Frederic Blanc; Vincent C Tam; Albert Tran; Vincenzo Dadduzio; David W Markby; Ann-Lii Cheng; Anthony B El-Khoueiry; Ghassan K Abou-Alfa
Journal:  Clin Cancer Res       Date:  2020-07-07       Impact factor: 12.531

7.  Preoperative Alpha-Fetoprotein Has No Prognostic Role in Small Hepatocellular Carcinoma in Non-Cirrhotic Patients After Surgical Resection.

Authors:  Tian-Ming Gao; Dou-Sheng Bai; Jian-Jun Qian; Ping Chen; Sheng-Jie Jin; Guo-Qing Jiang
Journal:  Turk J Gastroenterol       Date:  2021-02       Impact factor: 1.852

8.  Associations of Serum Tumor Biomarkers with Integrated Genomic and Clinical Characteristics of Hepatocellular Carcinoma.

Authors:  Keun Soo Ahn; Daniel R O'Brien; Yong Hoon Kim; Tae-Seok Kim; Hiroyuki Yamada; Joong-Won Park; Sang-Jae Park; Seoung Hoon Kim; Cheng Zhang; Hu Li; Koo Jeong Kang; Lewis R Roberts
Journal:  Liver Cancer       Date:  2021-09-22       Impact factor: 11.740

9.  Hepatocellular Carcinoma Demonstrates Heterogeneous Growth Patterns in a Multicenter Cohort of Patients With Cirrhosis.

Authors:  Nicole E Rich; Binu V John; Neehar D Parikh; Ian Rowe; Neil Mehta; Gaurav Khatri; Smitha M Thomas; Munazza Anis; Mishal Mendiratta-Lala; Christopher Hernandez; Mobolaji Odewole; Latha T Sundaram; Venkata R Konjeti; Shishir Shetty; Tahir Shah; Hao Zhu; Adam C Yopp; Yujin Hoshida; Francis Y Yao; Jorge A Marrero; Amit G Singal
Journal:  Hepatology       Date:  2020-10-25       Impact factor: 17.425

Review 10.  Recent advances in the surgical management of hepatocellular carcinoma.

Authors:  Georgios K Glantzounis; Anastasia Karampa; Dimitra V Peristeri; George Pappas-Gogos; Kostas Tepelenis; Petros Tzimas; Dimitrios J Cyrochristos
Journal:  Ann Gastroenterol       Date:  2021-05-27
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