Literature DB >> 29593422

Overexpression of HHLA2, a member of the B7 family, is associated with worse survival in human colorectal carcinoma.

Ziwen Zhu1,2,3, Weiguo Dong1,2,3.   

Abstract

BACKGROUND: Colorectal carcinoma (CRC) is one of the most common malignancies, and immunotherapy has opened a new field of cancer treatment in recent years. Generally, CRC does not benefit from immunotherapy. HHLA2, a member of the B7 family, is a novel immune checkpoint molecule, and the prognostic value of HHLA2 in CRC patients and the association between HHLA2 expression and clinicopathological characteristics remains unknown.
MATERIALS AND METHODS: This study included 63 patients diagnosed with CRC, and their resected specimens were obtained and constructed as a tissue microarray. Expression of HHLA2 and CD8 was detected by the double immunohistochemistry method. Based on follow-up data, correlations of HHLA2 expression and clinicopathological features, including overall survival, in CRC patients were evaluated.
RESULTS: High HHLA2 expression was detected in CRC tumor tissues, compared to the adjacent noncancerous tissues. HHLA2 expression level was significantly related to the depth of invasion (P=0.044) and CD8+ T-cell infiltration status (P=0.016), and predicted high mortality rate (P=0.035). HHLA2 acted as an independent predictive factor in the overall survival of CRC patients (P=0.039, hazard ratio=2.162, 95% CI 1.041-3.084).
CONCLUSION: HHLA2 expression is upregulated in CRC patients, and HHLA2 is an independent prognostic factor of overall survival of CRC patients. High HHLA2 expression is closely correlated with CD8 T-cell infiltration status and can predict poor prognosis in CRC patients.

Entities:  

Keywords:  HHLA2; colorectal carcinoma; immune checkpoint; prognosis

Year:  2018        PMID: 29593422      PMCID: PMC5865557          DOI: 10.2147/OTT.S160493

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Colorectal carcinoma (CRC) is one of the most common malignancies in the US, as well as the second cause of cancer death in men and the third in women.1 Despite a decline in the incidence, the distant 5-year relative survival rate for CRC is 14%.2 It is necessary to find novel strategies to improve the survival of patients with CRC. Besides the therapeutic options of chemotherapy, radiotherapy, surgery, and targeted therapy, immunotherapy has opened a new field of cancer treatment in recent years. During tumorigenesis and cancer progression, immune cells decrease tumor immunogenicity in a process known as immunoediting, while tumors establish a microenvironment that actively suppresses an immune response.3 Thus, the interaction between the tumor microenvironment and immune system has exploited a new direction in cancer research.4 Immune checkpoints are critical molecules that either up- or downregulate T-cell function.5 Immune checkpoint therapy – which targets regulatory pathways in T cells to enhance antitumor immune responses – has provided novel treatments against cancer.6 Recent research has found that ligands and receptors of the B7/CD28 family have immunoregulatory function in cancer pathogenesis. The B7 family now comprises at least 10 members, including B7-1, B7-2, CD28, ICOS-L, programmed death ligand 1 (PD-L1) and 2 (PD-L2), B7-H3, B7x, B7-H6, and human endogenous retrovirus-H long terminal repeat-associating protein 2 (HHLA2).7 Among these ligands, PD-L1 and PD-L2 represent two ligands for the programmed death 1 (PD-1) receptor.8 These molecules function as antigen-presenting cells (APCs), and modulate T-cell proliferation and function. However, the overexpression of PD-L1 and PD-1 on tumor cells and tumor-infiltrating lymphocytes (TILs) can inhibit T-cell activation and help tumor cells evade immune elimination, and are related to poor outcome in some human cancers.9–14 Inhibition of the PD-1/PD-L1 pathway by monoclonal antibodies has been used in some clinical trials, and the Food and Drug Administration (FDA) has approved these immune checkpoint agents for treating melanoma, non–small cell lung cancer (NSCLC), and other cancers.15 HHLA2 is a member of the B7 family and suppresses CD4 and CD8 T-cell function in the presence of T-cell receptor signaling.16–18 In addition, HHLA2 significantly reduces cytokine production by T cells including interferon gamma (IFNγ), TNF-α, interleukin (IL)-5, IL-10, IL-13, IL-17A, and IL-22.19 Recent research has reported that HHLA2 has limited expression in normal tissues, but is widely expressed in different human cancers.20 However, the prognostic value of HHLA2 in patients with CRC and the association between HHLA2 and clinicopathological characteristics remains unknown. Generally, CRC has not benefited from immunotherapy.21 In this research, CRC specimens were obtained from surgical patients and were constructed as a tissue microarray (TMA). HHLA2 and CD8 expressions were detected by immunohistochemistry (IHC) and double IHC. On the basis of follow-up data, the correlations of HHLA2 expression and clinicopathological features, including overall survival in patients with CRC, were evaluated.

Materials and methods

Ethics statement

Ethical approval was given by the Medical Ethics Committee of Renmin Hospital, Wuhan University. Patients provided written informed consent for study participation and the use of their tissues for future research prior to treatment. All procedures conducted in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Patients and follow-up

In total, 75 patients diagnosed with CRC in the period from September 2005 to July 2013 and treated surgically in the Renmin Hospital of Wuhan University were included in this study. Twelve patients who received chemotherapy, radiotherapy, or neoadjuvant therapy before surgery were excluded from the study. Thus, 63 patients with CRC were included in this study. Formalin-fixed, paraffin-embedded (FFPE) tissues were collected from the Department of Pathology, Renmin Hospital of Wuhan University. The follow-up began on the date of surgery and ended in August 2016. Clinicopathological parameters, including age, gender, survival status, smoking history, alcohol consumption history, as well as T, N, M, and American Joint Committee on Cancer (AJCC) stage, were recorded. CRC specimens had been classified according to the 7th edition of TNM classification specified by the Union for International Cancer Control/American Joint Committee on Cancer (2010). Overall survival was defined as the period from initial diagnosis to death or the end of follow-up. Thirty-two patients (50.8%) died during the follow-up period, and 31 patients (49.2%) were alive on the date of last follow-up. Mean overall survival was 61 months and ranged from 1 to 132 months.

TMA construction and IHC analysis

FFPE CRC tissues and corresponding adjacent noncancerous tissues were collected, and hematoxylin- and eosin-stained slides were screened by two pathologists independently to confirm the diagnosis of CRC. The most representative tumor tissues and noncancerous tissues were selected to construct the TMA slide. As described in a previous study,22 a 1.5-mm diameter core for each sample was punched into the TMA. Finally, the TMA comprised 63 CRC tissues and matched noncancerous tissue for each. TMA sections were deparaffinized, and was followed by antigen retrieval treatment with EDTA (1 mM, pH 8.0) in a microwave oven for 20 min. The rabbit anti-human HHLA2 polyclonal antibody (1:200 dilution, ab214327, Abcam, Cambridge, UK) and mouse anti-human CD8 monoclonal antibody (mAb; C8/144B; ready-to-use, Dako, Carpinteria, CA, USA) were used for overnight incubation at 4°C. Then, a Dako EnVision system – a horseradish peroxidase (HRP)-conjugated polymer backbone, which also carries secondary antibody molecules directed against rabbit and mouse immunoglobulin G (IgG) – was applied, followed by 3, 3′-diaminobenzidine (DAB) chromogen (Dako Corporation) and hematoxylin nuclear counterstaining. The HHLA2 polyclonal antibody is a synthetic peptide within Human HHLA2 aa 270-315 conjugated to keyhole limpet hemocyanin. Double IHC was conducted to detect the HHLA2 and CD8 co-expressions. The FFPE TMAs were deparaffinized and rehydrated, followed by antigen retrieval with EDTA (1 mM, pH 8.0) in a microwave oven for 20 min. The rabbit anti-human HHLA2 polyclonal antibody (1:200 dilution, ab214327, Abcam, USA) and mouse anti-human CD8 mAb (C8/144B; ready-to-use, Dako, Carpinteria, CA) were used for overnight incubation at 4°C. The goat anti-rabbit secondary antibody conjugated with HRP and goat anti-mouse secondary antibody conjugated with alkaline phosphatase (AP) were added. Thereafter, the TMA was incubated with DAB and permanent red as the chromogenic substrate, respectively. Finally, hematoxylin was applied as a nuclear counterstain. The signals of labeling cells were observed under microscopy (Olympus BX52, CCD DP80) and evaluated by two independent researchers who were blinded to the clinicopathological factors of the study. The expression of HHLA2 was recorded with H-score in a semi-quantitation method according to the area of positivity (AP) and the intensity of staining (IS). AP depended on the percentage of positive-stained cells as follows: 0 (0%), 1 (1%–25%), 2 (26%–50%), 3 (51%–75%), and 4 (>75%). IS was graded as 0 (negative), 1 (weak), 2 (moderate), and 3 (strong). The final H-score was calculated by the equation: H-score = AP × IS. Additionally, the number of positive cells was counted in each core of TMA for the CD8 evaluation. The cutoff point of high or low expression was determined on the median of total scores.

Statistical analysis

All statistical analyses were carried out by SPSS v19.0 (Chicago, IL, USA). The correlations of HHLA2 expression and clinicopathological parameters were assessed using the χ2 test or Fisher exact test as appropriate. The survival analysis was examined by the Kaplan–Meier curve, and a log-rank test was conducted to determine the statistical difference survival data. Student’s t-test was conducted to determine the association between CD8 T-cell counts and HHLA2 expression. Univariate and multivariate Cox proportion hazard regression models of survival were created to evaluate the prognostic values of clinicopathological parameters and HHLA2 expression. Two-tailed P<0.05 was considered to be statistically significant.

Results

Patient characteristics

Among the 63 patients with CRC, 39 (61.9%) were male and 24 (38.1%) were female, with mean age of 62 (range 29–89) years. At the end of follow-up, 32 (50.8%) patients died and 31 (49.2%) patients were alive. Eight (12.7%) patients had a history of smoking and seven (11.1%) had a history of alcohol consumption. According to the depth of tumor invasion, 25 (39.7%) were T2, 37 (58.7%) were T3, and 1 (1.6%) was T4. For the lymph node metastasis, 37 (58.7%) were N0, 19 (30.2%) were N1, and 7 (11.1%) were N2. In the aspect of distant metastasis, 60 (95.2%) were M0, and 3 (4.8%) were M1. Further, 23 (36.5%) patients were classified as Stage I, 27 (42.9%) as Stage II, and 13 (20.6%) as Stage III according to the 8th AJCC staging system (Table 1).
Table 1

Patient characteristics (N=63)

CharacteristicSub-characteristicValue (%)
Age62 (range 29–89)
GenderMale39 (61.9)
Female24 (38.1)
Survival statusDeath32 (50.8)
Survival31 (49.2)
Depth of invasion (T)T225 (39.7)
T337 (58.7)
T41 (1.6)
Lymph node metastasis (N)N037 (58.7)
N119 (30.2)
N27 (11.1)
Distant metastasis (M)M060 (95.2)
M13 (4.8)
AJCC stageI23 (36.5)
II27 (42.9)
III13 (20.6)
Smoking history
Yes8 (12.7)
No55 (87.3)
Alcohol history
Yes7 (11.1)
No56 (88.9)
Total63 (100)

Abbreviation: AJCC, American Joint Committee on Cancer.

HHLA2 expression in CRC and noncancerous tissues

HHLA2 expression at the protein level in CRC tissues is almost unknown at present. As shown in Figure 1, HHLA2 protein was expressed in both CRC and noncancerous tissues. In the adjacent noncancerous tissues, HHLA2 was found to be expressed in the intestinal epithelium and macrophages (Figure 1A and B). In cancer tissues, HHLA2 was located on the membrane and cytoplasm of tumor cells, and was also found in the fibroblasts of the stroma (Figure 1C). However, the staining intensity of HHLA2 in noncancerous tissues was obviously weaker than that in CRC tissues. CD8 was positive at the cellular membrane of cytotoxic T lymphocytes (Figure 1D).
Figure 1

Representative photomicrographs of HHLA2 expression and CD8-positive T-cell infiltration in colorectal lesions.

Notes: (A) Weak expression of HHLA2 in the adjacent intestinal epithelium tissues. (B) Positive expression of HHLA2 in the adjacent intestinal epithelium tissues. (C) High expression of HHLA2 in the CRC tissues. (D) CD8-positive expression in the T cells of stroma. (Original magnification: 400×).

The H-score of HHLA2 ranged from 2.0 to 12.0 and a median of 9.0. The median score was used to determine the cutoff value of high or low HHLA2 expression level. An H-score >9.0 was defined as high HHLA2 expression, and H-score ≤9.0 indicated low HHLA2 expression. In 63 CRC tissues, 47.6% (30/63) showed high HHLA2 expression, and 52.4% (33/63) cases of low HHLA2 expression was found. The mean value of CD8 T-cell numbers was 362.3 and the median value was 244.0 (range 100–1,830). A CD8 T-cell count >244.0 was regarded as positive, and counts ≤244.0 were negative. Among 63 patients with CRC, 32 (50.8%) cases were CD8 negative and 31 (49.2%) cases were CD8 positive.

Expression of HHLA2 in CRC patients and clinicopathological variables

The association between HHLA2 expression and clinicopathological parameters in CRC was investigated by χ2 test. As listed in Table 2, significant correlation was found between the depth of invasion (T) and HHLA2 expression (P=0.044), whereas HHLA2 expression was not significantly associated with age, gender, lymph node metastasis (N), distant metastasis (M), stage, and smoking or alcohol history in patients with CRC.
Table 2

Correlations between HHLA2 expression and clinicopathological parameters of patients with CRC

CharacteristicNHHLA2
Low (%)High (%)P-value
Gender0.414
 Male3922 (34.9)17 (27.0)
 Female2111 (17.5)13 (20.6)
Age0.374
 ≤64 years3215 (23.8)17 (27.0)
 >64 years3118 (28.6)13 (20.6)
Depth of invasion (T)0.044
 T22517 (27.0)8 (12.7)
 T3, T43816 (25.4)22 (34.9)
Lymph node metastasis (N)0.845
 N03719 (30.2)18 (28.6)
 N1, N22614 (22.2)12 (19.0)
Distant metastasis (M)0.063
 M06033 (52.4)27 (42.9)
 M130 (0.0)3 (4.8)
AJCC stage0.064
 I, II5023 (36.5)27 (42.9)
 III1310 (15.9)3 (4.8)
Smoking history0.710
 Yes85 (7.9)3 (4.8)
 No5528 (44.4)27 (42.9)
Alcohol history1.000
 Yes74 (6.3)3 (4.8)
 No5629 (46.0)27 (42.9)
CD8 status0.016
 Negative3212 (19.0)20 (31.7)
 Positive3121 (33.3)10 (15.9)
Total33 (52.4)30 (47.6)63 (100)

Note: Bold figures represent statistically significant P<0.05.

Abbreviation: CRC, colorectal carcinoma.

Relationship between HHLA2 expression and CD8 T-cell infiltration

The results of χ2 test illustrated that HHLA2 expression was correlated with CD8 T-cell infiltration in patients with CRC (P=0.016, Table 2). Further, the relationship between CD8 T-cell infiltration status in patients with CRC and HHLA2 expression was examined by two independent t-tests. The number of CD8-positive cells in the HHLA2 high-expression group was significantly lower than the number in the HHLA2 low-expression group (P=0.023, Figures 2A–D and 3).
Figure 2

Co-expression of HHLA2 and CD8 in the CRC tissues.

Notes: (A and B) Low expression of HHLA2 (brown signal) and high CD8 (purple signal) in the same CRC tissues. (C and D) High expression of HHLA2 and low CD8 in the same CRC tissues. (Original magnification: A, C 100×; B, D 200×).

Abbreviation: CRC, colorectal carcinoma.

Figure 3

CD8-positive cell-infiltrating status in CRC patients with HHLA2 high or low expression.

Notes: The number of CD8-positive cells in the high-HHLA2 group was significantly lower than the number in the low-HHLA2 group. *P=0.023 by two independent t-tests.

Abbreviation: CRC, colorectal carcinoma.

Prognostic value of HHLA2 expressions in CRC patients

Subsequently, the prognostic value of HHLA2 expression in CRC was investigated. Survival analysis determined by the Kaplan–Meier curve and log-rank test demonstrated that high expression of HHLA2 predicted poorer survival and high mortality rate in patients with CRC (Figure 4A, P=0.035). However, high expression of HHLA2 and low CD8 were found to have no significant prognostic value for the overall survival of patients with CRC (P=0.185, Figure 4B).
Figure 4

Correlation of HHLA2 expression level and overall survival in patients with CRC.

Notes: (A) Thirty-three patients with low HHLA2 expression showed better overall survival than 30 patients with high HHLA2 expression (P=0.035). (B) High expression of HHLA2 and low CD8 showed no significant prognostic value for the overall survival of patients with CRC (P=0.185).

Abbreviation: CRC, colorectal carcinoma.

Univariate and multivariate analyses of the Cox proportional hazard model on overall survival was carried out to determine the prognostic value of HHLA2 expression and other clinicopathological variables. In the univariate analysis, HHLA2 expression showed significant correlation to the survival of patients with CRC (HR=2.249, 95% CI=10.97–4.610, P=0.027). Meanwhile, depth of invasion (HR=2.231, 95% CI=1.017–4.897, P=0.045), lymph node metastasis (HR=2.945, 95% CI=1.447–5.996, P=0.003), distant metastasis (HR=4.753, 95% CI=1.093–20.675, P=0.038), and AJCC stage (HR=2.169, 95% CI=1.198–3.928, P=0.011) were found to be associated with survival (Table 3).
Table 3

COX proportional hazard models on overall survival of patients

COX proportional hazard models
FactorsUnivariate analysis
Multivariate analysis
P-valueHR (95% CI)P-valueHR (95% CI)
Gender
 Male vs female0.8080.915 (0.446–1.876)
Age
 ≤64 vs >640.2531.510 (0.745–4.492)
HHLA2 expression
 Low vs high0.0272.249 (10.97–4.610)0.0392.162 (1.041–3.084)
CD8 status
 Low vs high0.5110.789 (0.390–1.598)
Depth of invasion (T)
 T2 vs T3, T40.0452.231 (1.017–4.897)0.2421.643 (0.715–3.771)
Lymph node metastasis (N)
 N0 vs N1, N20.0032.945 (1.447–5.996)0.0042.992 (1.426–6.279)
Distant metastasis (M)
 M0 vs M10.0384.753 (1.093–20.675)0.0734.195 (0.876–20.086)
AJCC stage
 I, II vs III0.0112.169 (1.198–3.928)0.8481.097 (0.423–2.843)
Smoking history
 Yes vs no0.5380.538 (0.163–1.778)
Alcohol history
 Yes vs no0.0980.185 (0.025–1.363)
The independent prognostic value was detected by multivariate analysis (Table 3). The results indicated that HHLA2 expression (HR=2.162, 95% CI=1.041–3.084, P=0.039) and lymph node metastasis (HR=2.992, 95% CI=1.426–6.279, P=0.004) were two independent prognosis factors in the overall survival of patients with CRC. However, depth of invasion, distant metastasis, AJCC stage, and CD8-positive cell-infiltration status were not independent of the overall survival in our research.

Discussion

This is the first study reporting the clinical significance of HHLA2 in CRC, and demonstrates that HHLA2 might be a novel immunosuppressive mechanism within the colon cancer microenvironment as well as a new target for CRC immunotherapy. The HHLA2 pathway represents a novel immunosuppressive mechanism within the tumor microenvironment and an attractive target for human cancer therapy. Here, we reported that HHLA2 was overexpressed in the tumor tissues, compared to the adjacent noncancerous tissues, in patients with CRC. The HHLA2 expression level was significantly related to the depth of invasion and CD8 T-cell infiltration status. High expression of HHLA2 protein predicted a high mortality rate, and HHLA2 acted as an independent predictive factor in the overall survival of patients with CRC. A total of 3,682,000 new cancer cases and 2,229,300 cancer deaths were estimated in the People’s Republic of China in 2013. Lung cancer, liver cancer, stomach cancer, esophageal cancer, and CRC are the five leading causes of cancer death, accounting for ~60% of all cancer deaths.23 Recently, major progress in characterization of immune landscape of tumor-associated microenvironment has been made, especially with respect to microsatellite status of CRC.24 Notwithstanding that HHLA2 is a novel immune checkpoint molecule that belongs to the B7 family of ligands, and its main function is to decrease both CD4 and CD8 T-cell proliferation and inhibit the production of T-cell cytokines, including IFNγ, TNF-α, and ILs,19 its function in CRC is still unclear. In our research, the level of HHLA2 expression was related to the CD8 T-cell infiltration status, and the number of CD8-positive T cells in the high-HHLA2-expression group was significantly lower than the HHLA2-negative group. Although a previous study showed that HHLA2 played a co-stimulatory role and increased cytokine production,18 most studies have revealed that HHLA2 inhibits T-cell proliferation and function.19,25,26 Similarly, our results demonstrated that high expression of HHLA2 is associated with low CD8 TILs. This suggests that HHLA2 may predominantly functions as a T-cell co-inhibitory ligand. Most normal tissues do not express HHLA2 except the placenta, gut, gallbladder, and breast whereas HHLA2 is widely expressed in a variety of cancer tissues.20,25 In this study, we confirmed that HHLA2 was expressed in both noncancerous intestinal specimens and cancer specimens from patients with CRC. However, the IHC staining intensity in tumor tissues was stronger than in noncancerous intestinal tissues, which illustrated that HHLA2 is upregulated in tumor cells of CRC. Moreover, we found that the high expression of HHLA2 was associated with poor prognostic features in patients with CRC, which is consistent with previous studies of human lung cancer, breast cancer, and osteosarcoma.20,27,28 It was noted that the CD8-TILs status was not a predictive value in patient prognosis in this research. Actually, TILs are prognostic in some cancers, but the predictive value of TILs remains controversial in CRC and in other types of cancer. Although TIL density has been found to be independently prognostic and associated with lymph node harvest and lymph node size in CRC,29 a recent study investigated the PD-L1 expression in patients with Stage III CRC and demonstrated that the intratumoral CD8-positive T-cell count was related to prognosis, but was not an independent factor; however, peritumoral CD8-positive T cells had no statistically predictive value in disease-free survival.30 This controversial phenomenon has also been discovered in lung cancer.27,31,32 Taken together, there may be other factors implicated in TIL-infiltration status, and HHLA2 expression may partly be a response to the T-cell infiltration in CRC and other cancers. In conclusion, we demonstrated that HHLA2 is upregulated in patients with CRC and first reported that HHLA2 is an independent prognostic factor of the overall survival of patients with CRC. High expression of HHLA2 is correlated with CD8 T-cell infiltrating status, and predicted a low survival rate in patients with CRC. Our results illustrated that HHLA2 is a critical immune checkpoint in CRC, and further studies are required to elucidate the mechanisms of HHLA2 overexpression and its therapeutic values. Because HHLA2 can suppress T-cell function, the upregulation of HHLA2 expression on tumor cells and inducible HHLA2 expression on APCs provide a novel mechanism for tumor immune evasion. Therefore, HHLA2 could be an attractive target for human cancer immunotherapy.
  32 in total

1.  Programmed cell death ligand 1 and tumor-infiltrating lymphocyte status in patients with renal cell carcinoma and sarcomatoid dedifferentiation.

Authors:  Fumi Kawakami; Kanishka Sircar; Jaime Rodriguez-Canales; Bryan M Fellman; Diana L Urbauer; Pheroze Tamboli; Nizar M Tannir; Eric Jonasch; Ignacio I Wistuba; Christopher G Wood; Jose A Karam
Journal:  Cancer       Date:  2017-08-22       Impact factor: 6.860

2.  Colorectal cancer statistics, 2017.

Authors:  Rebecca L Siegel; Kimberly D Miller; Stacey A Fedewa; Dennis J Ahnen; Reinier G S Meester; Afsaneh Barzi; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2017-03-01       Impact factor: 508.702

Review 3.  The third group of the B7-CD28 immune checkpoint family: HHLA2, TMIGD2, B7x, and B7-H3.

Authors:  Murali Janakiram; Urvi A Shah; Weifeng Liu; Aimin Zhao; Mark P Schoenberg; Xingxing Zang
Journal:  Immunol Rev       Date:  2017-03       Impact factor: 12.988

Review 4.  The emerging role of immunotherapy in colorectal cancer.

Authors:  David Lynch; Adrian Murphy
Journal:  Ann Transl Med       Date:  2016-08

Review 5.  The B7 family and cancer therapy: costimulation and coinhibition.

Authors:  Xingxing Zang; James P Allison
Journal:  Clin Cancer Res       Date:  2007-09-15       Impact factor: 12.531

6.  HHLA2 is a member of the B7 family and inhibits human CD4 and CD8 T-cell function.

Authors:  Ruihua Zhao; Jordan M Chinai; Susan Buhl; Lisa Scandiuzzi; Anjana Ray; Hyungjun Jeon; Kim C Ohaegbulam; Kaya Ghosh; Aimin Zhao; Matthew D Scharff; Xingxing Zang
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-28       Impact factor: 11.205

Review 7.  CTLA-4 and PD-1/PD-L1 blockade: new immunotherapeutic modalities with durable clinical benefit in melanoma patients.

Authors:  Patrick A Ott; F Stephen Hodi; Caroline Robert
Journal:  Clin Cancer Res       Date:  2013-10-01       Impact factor: 12.531

8.  Objective measurement and clinical significance of TILs in non-small cell lung cancer.

Authors:  Kurt A Schalper; Jason Brown; Daniel Carvajal-Hausdorf; Joseph McLaughlin; Vamsidhar Velcheti; Konstantinos N Syrigos; Roy S Herbst; David L Rimm
Journal:  J Natl Cancer Inst       Date:  2015-02-03       Impact factor: 11.816

9.  HHLA2, a member of the B7 family, is expressed in human osteosarcoma and is associated with metastases and worse survival.

Authors:  Pratistha Koirala; Michael E Roth; Jonathan Gill; Jordan M Chinai; Michelle R Ewart; Sajida Piperdi; David S Geller; Bang H Hoang; Yekaterina V Fatakhova; Maya Ghorpade; Xingxing Zang; Richard Gorlick
Journal:  Sci Rep       Date:  2016-08-17       Impact factor: 4.379

10.  Immunological landscape of consensus clusters in colorectal cancer.

Authors:  Pawel Karpinski; Joanna Rossowska; Maria Malgorzata Sasiadek
Journal:  Oncotarget       Date:  2017-10-27
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  24 in total

1.  HHLA2 overexpression is a novel biomarker of malignant status and poor prognosis in gastric cancer.

Authors:  Li Wei; Liang Tang; Haiyan Chang; Song Huo; Yan Li
Journal:  Hum Cell       Date:  2019-09-24       Impact factor: 4.174

2.  CD28 Homolog Is a Strong Activator of Natural Killer Cells for Lysis of B7H7+ Tumor Cells.

Authors:  Xiaoxuan Zhuang; Eric O Long
Journal:  Cancer Immunol Res       Date:  2019-04-24       Impact factor: 11.151

Review 3.  Crosstalk between the B7/CD28 and EGFR pathways: Mechanisms and therapeutic opportunities.

Authors:  Xiaoxin Ren; Yixian Li; Christopher Nishimura; Xingxing Zang
Journal:  Genes Dis       Date:  2021-09-20

4.  Phenotypical and potential functional characteristics of different immune cells expressing CD28H/B7-H5 and their relationship with cancer prognosis.

Authors:  C Zhong; Q Lang; J Yu; S Wu; F Xu; Y Tian
Journal:  Clin Exp Immunol       Date:  2020-02-04       Impact factor: 4.330

5.  H Long Terminal Repeat-Associating 2 (HHLA2) is a Biomarker of Advanced Stage Hepatocellular Carcinoma and Promotes Tumor Cell Development In Vitro.

Authors:  Min Luo; Yao Xiong; Yan Lin; Rong Liang; Yongqiang Li; Lianying Ge
Journal:  Med Sci Monit       Date:  2021-05-15

6.  HHLA2 predicts better survival and exhibits inhibited proliferation in epithelial ovarian cancer.

Authors:  Guocai Xu; Yuanyuan Shi; Xiaoting Ling; Dongyan Wang; Yunyun Liu; Huaiwu Lu; Yongpai Peng; Bingzhong Zhang
Journal:  Cancer Cell Int       Date:  2021-05-07       Impact factor: 5.722

Review 7.  Immune Checkpoint Inhibitors: The Emerging Cornerstone in Cholangiocarcinoma Therapy?

Authors:  María Gutiérrez-Larrañaga; Elena González-López; Adriel Roa-Bautista; Pedro M Rodrigues; Álvaro Díaz-González; Jesus M Banales; Marcos López-Hoyos; Alvaro Santos-Laso; Javier Crespo
Journal:  Liver Cancer       Date:  2021-09-21       Impact factor: 11.740

Review 8.  Potential Therapeutic Targets of B7 Family in Colorectal Cancer.

Authors:  Changgang Wang; Haoran Feng; Xi Cheng; Kun Liu; Dongli Cai; Ren Zhao
Journal:  Front Immunol       Date:  2020-05-05       Impact factor: 7.561

9.  Overexpression of HHLA2 in human clear cell renal cell carcinoma is significantly associated with poor survival of the patients.

Authors:  Lujun Chen; Dawei Zhu; Jun Feng; You Zhou; Qi Wang; Huijing Feng; Junping Zhang; Jingting Jiang
Journal:  Cancer Cell Int       Date:  2019-04-16       Impact factor: 5.722

10.  Integration of the Microbiome, Metabolome and Transcriptomics Data Identified Novel Metabolic Pathway Regulation in Colorectal Cancer.

Authors:  Vartika Bisht; Katrina Nash; Yuanwei Xu; Prasoon Agarwal; Sofie Bosch; Georgios V Gkoutos; Animesh Acharjee
Journal:  Int J Mol Sci       Date:  2021-05-28       Impact factor: 5.923

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