Literature DB >> 34377593

Association of PIK3CA mutation and PTEN loss with expression of CD274 (PD-L1) in colorectal carcinoma.

Tomotaka Ugai1,2, Melissa Zhao1, Takashi Shimizu3, Naohiko Akimoto1, Shanshan Shi1, Yasutoshi Takashima1, Rong Zhong1, Mai Chan Lau1, Koichiro Haruki1, Kota Arima1, Kenji Fujiyoshi1, Benjamin Langworthy2, Yohei Masugi1, Annacarolina da Silva1, Katsuhiko Nosho1, Yoshifumi Baba1, Mingyang Song4,5,6, Andrew T Chan5,6,7,8, Molin Wang2,7,9, Jeffrey A Meyerhardt10, Marios Giannakis10,11,12, Juha P Väyrynen1,10,13, Jonathan A Nowak1, Shuji Ogino1,2,11,14.   

Abstract

Immunotherapy targeting the CD274 (PD-L1)/PDCD1 (PD-1) immune checkpoint axis has emerged as a promising treatment strategy for various cancers. Experimental evidence suggests that phosphatidylinositol-4,5-bisphosphonate 3-kinase (PI3K) signaling may upregulate CD274 expression. Thus, we hypothesized that PIK3CA mutation, PTEN loss, or their combined status might be associated with CD274 overexpression in colorectal carcinoma. We assessed tumor CD274 and PTEN expression by immunohistochemistry and assessed PIK3CA mutation by pyrosequencing in 753 patients among 4,465 incident rectal and colon cancer cases that had occurred in two U.S.-wide prospective cohort studies. To adjust for potential confounders and selection bias due to tissue availability, inverse probability weighted multivariable ordinal logistic regression analyses used the 4,465 cases and tumoral data including microsatellite instability, CpG island methylator phenotype, KRAS and BRAF mutations. PIK3CA mutation and loss of PTEN expression were detected in 111 of 753 cases (15%) and 342 of 585 cases (58%), respectively. Tumor CD274 expression was negative in 306 (41%), low in 195 (26%), and high in 252 (33%) of 753 cases. PTEN loss was associated with CD274 overexpression [multivariable odds ratio (OR) 1.83; 95% confidence interval (CI), 1.22-2.75; P = .004]. PIK3CA mutation was statistically-insignificantly (P = .036 with the stringent alpha level of 0.005) associated with CD274 overexpression (multivariable OR, 1.54; 95% CI, 1.03-2.31). PIK3CA-mutated PTEN-lost tumors (n = 33) showed higher prevalence of CD274-positivity (82%) than PIK3CA-wild-type PTEN-lost tumors (n = 204; 70% CD274-positivity) and PTEN-expressed tumors (n = 147; 50% CD274-positivity) (P = .003). Our findings support the role of PI3K signaling in the CD274/PDCD1 pathway.
© 2021 The Author(s). Published with license by Taylor & Francis Group, LLC.

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Keywords:  Colorectal neoplasms; PI3K pathway; immune checkpoint; molecular pathological epidemiology; tumor microenvironment

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Year:  2021        PMID: 34377593      PMCID: PMC8331006          DOI: 10.1080/2162402X.2021.1956173

Source DB:  PubMed          Journal:  Oncoimmunology        ISSN: 2162-4011            Impact factor:   8.110


Introduction

Over the past few decades, cancer immunotherapies have changed the landscape of cancer treatment. Among them, immune checkpoint inhibitors targeting PDCD1 (programmed cell death 1, PD-1) and its ligand, CD274 (programmed cell death 1 ligand 1, PD-L1) on tumor cells, are increasingly used for a variety of cancers, including colorectal cancer.[1,2] Recent studies suggest that oncogenic activation of signaling pathways play an important role in CD274 upregulation in cancer cells.[3-5] Phosphatidylinositol-4,5-bisphosphonate 3-kinase (PI3K) signaling plays a central role in several cellular functions that are influential in oncogenesis and metastasis.[6,7] PIK3CA encodes the catalytic subunit of PI3K that is involved in cell growth, proliferation, survival, and apoptosis, through induction of AKT phosphorylation and, subsequently, MTOR activation.[7] Conversely, PTEN counteracts this mechanism by dephosphorylating phosphatidylinositol-3,4,5-triphosphonate to phosphatidylinositol-4,5-biphosphonate.[7-9] Evidence indicates that PIK3CA mutation is associated with KRAS mutation in colorectal cancer and the prevalence of PIK3CA mutation gradually increases from rectum to cecum.[10-12] While PIK3CA mutation in colorectal cancer may not be a prognostic biomarker,[7,10,13-17] it may be a predictive biomarker for response to aspirin.[18-22] With regard to CD274 (PD-L1) overexpression in colorectal cancer, while it may not be a prognostic biomarker,[23-27] it has been shown to predict resistance to aspirin,[28] suggesting a possible interplay between the PTGS2 and PDCD1 pathways.[29] With regard to PTEN, evidence indicates that loss of PTEN expression is a potential therapeutic target in colorectal cancer.[30] Experimental studies suggest that activation of PI3K signaling may upregulate CD274 expression in certain experimental models,[4,31,32] including colon cancer cell lines.[26] However, as evidence indicates that tumor microenvironment can substantially change cellular gene expression profiles,[33,34] experimental findings under artificial or non-human conditions need to be tested in human tumor tissue research. We therefore tested the hypothesis that PIK3CA mutation and PTEN loss might be associated with tumor CD274 overexpression in human colorectal cancer specimens. To test our hypothesis, we used a database of 4,465 incident colorectal cancer cases, including 753 cases with available molecular data, from two large U.S.-wide prospective cohort studies. This comprehensive dataset allowed us to examine the association of PIK3CA mutation, PTEN loss, and their combined status with CD274 expression in tumor tissue after adjustment for potential confounders and selection bias due to tissue availability.

Materials and methods

Study population

We used two large prospective cohort studies in the U.S., the Nurses’ Health Study (NHS, 121,701 women aged 30–55 years followed since 1976) and the Health Professionals Follow-up Study (HPFS, 51,529 men aged 40–75 years followed since 1986).[35] Every two years, follow-up questionnaires were obtained to update information, such as lifestyle factors and newly-diagnosed diseases, including colorectal cancer. The overall response rate for these questionnaires was more than 90% in each follow-up questionnaire cycle. The National Death Index was used to confirm deaths of participants and identify unreported lethal colorectal cancer cases. We documented 4,465 colorectal cancer cases that had occurred in the two cohort studies during the follow-up until 2012. Participating physicians, who were blinded to exposure data, reviewed medical records of colorectal cancer patients to collect data on tumor characteristics including tumor size, tumor location, and disease stage based on the American Joint Committee on Cancer (AJCC) tumor, node and metastases classification, and identified causes of death for participants. We obtained formalin-fixed paraffin-embedded (FFPE) tumor tissue samples from the hospitals where participants underwent tumor resection. A single pathologist (S.O.), blinded to other data, reviewed all hematoxylin and eosin-stained tissue sections of colorectal cancer cases and recorded pathological features.[36] In this study, we utilized a molecular pathological epidemiology database of 753 colorectal cancer cases with available data on PIK3CA mutation status and CD274 (PD-L1) expression and 3,712 colorectal cancer cases without tissue data (Figure 1). Comparison of clinical characteristics between cases with available tissue data and those without available tissue data is shown in Table S1. We included both colon and rectal cancers based on based on the colorectal continuum theory: i.e., a gradual change of clinical and tumor characteristics throughout the colorectum.[11,37]
Figure 1.

Flow diagram of study population in the nurses’ health study and the health professionals follow-up study

Flow diagram of study population in the nurses’ health study and the health professionals follow-up study Informed consent was obtained from all study participants at study enrollment. The study protocol was approved by the institutional review boards of the Brigham and Women’s Hospital and Harvard T.H. Chan School of Public Health (Boston, MA, USA), and those of participating registries as required.

Tumor tissue analyses

Tumor DNA was extracted from archival FFPE tissue sections with QIAamp DNA FFPE Tissue Kit. Microsatellite instability (MSI) status was examined using 10 microsatellite markers (D2S123, D5S346, D17S250, BAT25, BAT26, BAT40, D18S55, D18S56, D18S67, and D18S487), and MSI-high was defined as the presence of instability in ≥30% of the markers.[38] Methylation status of eight CpG island methylator phenotype (CIMP)-specific promoters (CACNA1G, CDKN2A, CRABP1, IGF2, MLH1, NEUROG1, RUNX3, and SOCS1) and long interspersed nucleotide element-1 (LINE-1) were assessed as previously described.[39-41] CIMP-high was defined as the presence of methylated promoters in at least six of the eight markers. Polymerase chain reaction and pyrosequencing were targeted for KRAS (codons 12, 13, 61, and 146), BRAF (codon 600), and PIK3CA (exons 9 and 20) to detect mutations.[22,42] The PCR products were sequenced by Pyrosequencing PSQ96 HS System (Biotage AB) following the manufacturer’s instructions.[43] Tissue microarrays were constructed from FFPE tissue.[44] Immunohistochemical analyses of CD274 (PD-L1) and PTEN expression in tumor cells were performed using anti-CD274 antibody (Clone MIH1, dilution, 1:50; eBioscience) and anti-PTEN antibody (Clone 6H2.1, dilution 1:200; Abcam), respectively (Figure 2), following standardized protein nomenclature recommended by the expert panel.[45] Blind to other data, immunohistochemical expression was recorded by a single investigator for each marker (CD274 by Y.M.; PTEN by K.N.). Tumor CD274 expression was evaluated based on immunostaining in the cytoplasm and membrane of tumor cells, as previously described.[24,46] Tumor CD274 expression was interpreted as negative, low, or high. Appropriate positive and negative controls were included in each run of immunohistochemistry. PTEN expression was evaluated as intact in the presence of moderate or strong nuclear and cytoplasmic staining in tumor cells as previously described.[47] Loss of PTEN expression was defined as the absence of staining or only weak nuclear and/or cytoplasmic staining of tumor cells.[47] A second investigator (A.dS. for CD274; Y.B. for PTEN) independently reviewed 148 cases for CD274 expression and 109 cases for PTEN expression, and the weighted kappa values between the two independent investigators were 0.65 for CD274 expression (P < .001) and 0.45 for PTEN expression (P < .001).
Figure 2.

Tumor CD274 and PTEN expression in colorectal cancer. Tumor CD274 expression was evaluated based on immunostaining in the cytoplasm and membrane of tumor cells. Tumor CD274 expression was interpreted as negative (a), low (b), or high (c) according to membranous and cytoplasmic intensity. Tumor PTEN expression was evaluated based on immunostaining in the cytoplasm and nuclear of tumor cells. Cytoplasmic and nuclear PTEN expression level was classified as lost (d) or intact (e) according to cytoplasmic and nuclear intensity. Scale bars represent 50 μm

Tumor CD274 and PTEN expression in colorectal cancer. Tumor CD274 expression was evaluated based on immunostaining in the cytoplasm and membrane of tumor cells. Tumor CD274 expression was interpreted as negative (a), low (b), or high (c) according to membranous and cytoplasmic intensity. Tumor PTEN expression was evaluated based on immunostaining in the cytoplasm and nuclear of tumor cells. Cytoplasmic and nuclear PTEN expression level was classified as lost (d) or intact (e) according to cytoplasmic and nuclear intensity. Scale bars represent 50 μm

Statistical analysis

All statistical analyses were performed using SAS software (version 9.4, SAS Institute, Cary, NC, USA). All P values were two-sided, and we used the stringent two-sided α level of 0.005 for our hypothesis testing, as recommended by a panel of expert statisticians.[48] Our primary hypothesis testing was an assessment of a statistical association of PIK3CA mutation status (wild-type and mutant; as a predictor variable) and PTEN expression (intact and lost; as an predictor variable) with CD274 expression score (negative, low, and high; as an ordinal outcome variable). All other analyses were secondary analyses. We used multivariable ordinal logistic regression models for our primary hypothesis testing. The proportional odds assumption was generally satisfied in ordinal logistic regression models (P > .05). The chi-square test was used to compare categorical data between PIK3CA mutation and PTEN expression categories. To adjust for selection bias due to the availability of tumor tissue, we integrated the inverse probability weighting (IPW) method into multivariable ordinal logistic regression analyses using covariate data of the 4,465 incident colorectal cancer cases.[49,50] Multivariable ordinal logistic regression analyses initially included sex (female vs. male), age at diagnosis (continuous), year of diagnosis (continuous), family history of colorectal cancer in any first-degree relatives (present vs. absent), tumor location (proximal colon vs. distal colon vs. rectum), tumor differentiation (well to moderate vs. poor), disease stage (I to II vs. III to IV), MSI status (MSI-high vs. non-MSI-high), CIMP (high vs. low/negative), LINE-1 methylation level (continuous), BRAF mutation (mutant vs. wild-type), and KRAS mutation (mutant vs. wild-type). To select variables for the final models, a threshold of P = .05 was used in a backward stepwise elimination procedure. The variables which remained in the final models are shown in Tables 2 and 4. In this analysis, cases with missing data (family history of colorectal cancer in any first-degree relatives, 0.9%; tumor location, 0.3%; tumor differentiation, 0.3%; disease stage, 6.0%; MSI status, 2.4%; CIMP status, 1.7%; BRAF mutation, 1.4%; and KRAS mutation, 2.2%) were imputed as the most common category of the given variable to avoid overfitting of the models. For cases with missing data on LINE-1 methylation level (2.7%), we substituted the mean value and assigned a separate indicator variable. It was confirmed that no results were substantially altered after excluding the cases with missing information in any of the covariates. We categorized LINE-1 methylation level as low vs. high based on the median level. We conducted stratified analyses by LINE-1 methylation level (high vs. low) and CIMP status (high vs. low/negative), and assessed a statistical interaction using the Wald test for the cross-product term of PIK3CA mutation/PTEN expression and CIMP status or LINE-1 methylation level in the logistic regression model.

Results

PIK3CA mutation was detected in 111 (15%) of 753 cases, whereas loss of PTEN expression was detected 342 (58%) of 585 cases. Among 753 cases, tumor CD274 (PD-L1) expression was negative in 306 (41%), low in 195 (26%), and high in 252 (33%) cases. We summarized the clinical, pathological, and molecular characteristics of colorectal cancer cases according to PIK3CA mutation and PTEN expression in tumor tissue (Table 1). Loss of PTEN was associated with tumor CD274 overexpression (P < .001).
Table 1.

Clinical, pathological, and molecular characteristics of colorectal cancer cases according to PIK3CA mutation and PTEN expression in tumor tissue

  PIK3CA mutation
PTEN expression
Characteristic*All cases(N = 753)Wild-type(N = 642)Mutant(N = 111)P valueIntact(N = 243)Lost(N = 342)P value
Sex   0.34  0.40
Male (HPFS)342 (45%)287 (45%)55 (50%) 103 (42%)133 (39%) 
Female (NHS)411 (55%)355 (55%)56 (50%) 140 (58%)209 (61%) 
Mean age ± SD, (years)69.4 ± 9.069.3 ± 9.070.1 ± 8.60.3968.4 ± 7.267.1 ± 8.80.069
Year of diagnosis   0.82  0.73
1995 or before228 (30%)197 (31%)31 (28%) 105 (43%)140 (41%) 
1996–2000249 (33%)212 (33%)37 (33%) 86 (35%)132 (39%) 
2001–2012276 (37%)233 (36%)43 (39%) 52 (21%)70 (20%) 
Family history of colorectal cancer in first-degree relative(s)   0.51  0.38
Absent591 (79%)507 (80%)84 (77%) 184 (77%)271 (80%) 
Present153 (21%)128 (20%)25 (23%) 56 (23%)69 (20%) 
Tumor location   0.018  0.67
Cecum132 (18%)107 (17%)25 (23%) 42 (17%)69 (20%) 
Ascending to transverse colon238 (32%)198 (31%)40 (36%) 79 (33%)103 (30%) 
Descending to sigmoid colon223 (30%)188 (29%)35 (32%) 68 (28%)103 (30%) 
Rectum156 (21%)145 (23%)11 (9.9%) 53 (22%)66 (19%) 
Tumor differentiation   0.43  0.90
Well to modulate682 (91%)579 (90%)103 (93%) 220 (91%)311 (91%) 
Poor69 (9.2%)61 (9.5%)8 (7.2%) 22 (9.1%)30 (8.8%) 
AJCC disease stage   0.85  0.63
I160 (23%)134 (23%)26 (25%) 60 (27%)77 (24%) 
II224 (32%)190 (32%)34 (32%) 69 (31%)113 (35%) 
III211 (30%)183 (31%)28 (27%) 62 (28%)97 (30%) 
IV105 (15%)88 (15%)17 (16%) 32 (14%)40 (12%) 
Mean LINE-1 methylation level (%)62.5 ± 9.762.2 ± 9.964.2 ± 8.70.04362.7 ± 8.961.3 ± 10.00.078
MSI status   0.65  0.24
Non-MSI-high619 (83%)525 (83%)94 (85%) 190 (82%)288 (85%) 
MSI-high125 (17%)108 (17%)17 (15%) 43 (18%)50 (15%) 
CIMP status   0.36  0.071
Low/negative578 (83%)497 (83%)81 (79%) 193 (81%)292 (87%) 
High122 (17%)101 (17%)21 (21%) 45 (19%)45 (13%) 
KRAS mutation   <0.001  0.95
Wild-type446 (60%)398 (63%)48 (43%) 136 (57%)190 (57%) 
Mutant298 (40%)235 (37%)63 (57%) 102 (43%)144 (43%) 
BRAF mutation   0.83  0.027
Wild-type635 (85%)540 (85%)95 (86%) 195 (82%)298 (88%) 
Mutant113 (15%)97 (15%)16 (14%) 44 (18%)40 (12%) 
CD274 (PD-L1) expression score   0.095  <0.001
Negative306 (41%)268 (42%)38 (34%) 78 (49%)78 (28%) 
Low195 (26%)166 (26%)29 (26%) 33 (21%)79 (29%) 
High252 (33%)208 (32%)44 (40%) 48 (30%)117 (43%) 
PTEN expression   0.83   
Intact222 (43%)184 (42%)38 (44%)    
Lost299 (57%)250 (58%)49 (56%)    

* (%) indicates the proportion of patients with a specific clinical, pathologic, or molecular characteristic among all patients or in strata of PIK3CA mutation or PTEN expression.

†To compare categorical data between PIK3CA mutation or PTEN expression categories, the chi-square test was performed. To compare continuous variables, an analysis of variance was performed.

Abbreviations: AJCC, American Joint Committee on Cancer; CIMP, CpG island methylator phenotype; HPFS, Health Professionals Follow-up Study; LINE-1, long interspersed nucleotide element-1; MSI, microsatellite instability; NHS, Nurses’ Health Study; PD-L1, programmed cell death 1 ligand 1; SD, standard deviation.

Clinical, pathological, and molecular characteristics of colorectal cancer cases according to PIK3CA mutation and PTEN expression in tumor tissue * (%) indicates the proportion of patients with a specific clinical, pathologic, or molecular characteristic among all patients or in strata of PIK3CA mutation or PTEN expression. †To compare categorical data between PIK3CA mutation or PTEN expression categories, the chi-square test was performed. To compare continuous variables, an analysis of variance was performed. Abbreviations: AJCC, American Joint Committee on Cancer; CIMP, CpG island methylator phenotype; HPFS, Health Professionals Follow-up Study; LINE-1, long interspersed nucleotide element-1; MSI, microsatellite instability; NHS, Nurses’ Health Study; PD-L1, programmed cell death 1 ligand 1; SD, standard deviation. We used multivariable logistic regression model (to adjust for confounding) combined with inverse probability weighting (IPW) method on all 4,465 incident colorectal cancer cases to adjust for selection bias due to tissue availability (Table 2). Loss of PTEN was statistically significantly associated with higher CD274 expression [multivariable odds ratio (OR) 1.83; 95% confidence interval (CI), 1.22–2.75; P = .004]. PIK3CA mutation was statistically-insignificantly (P = .036 with the stringent alpha level of 0.005) associated with CD274 overexpression (multivariable OR, 1.54; 95% CI, 1.03–2.31). We confirmed that similar results were obtained by sensitivity analyses without IPW adjustment (Tables S2 and S3). We also stratified analyses by LINE-1 methylation level and CIMP status and did not observe significant effect modification (Table S4).
Table 2.

Inverse probability weighting-adjusted ordinal logistic regression analysis to assess the association of tumor PIK3CA mutation or PTEN expression (predictor) with CD274 (PD-L1) expression (outcome)

CharacteristicCD274 (PD-L1) expressionFor one category increase in three ordinal CD274 categories
UnivariableOR (95% CI)*P valueMultivariableOR (95% CI)*P value
PIK3CA mutation    
Wild-type (N = 642)1 (referent) 1 (referent) 
Mutant (N = 111)1.53 (1.01–2.31)0.0451.54 (1.03–2.31)0.036
MSI status    
Non-MSI-high (N = 619)1 (referent) 1 (referent) 
MSI-high (N = 125)0.60 (0.41–0.89)0.0100.63 (0.42–0.93)0.022
Year of diagnosis (per 5-year increase)0.85 (0.74–0.97)0.0180.86 (0.75–0.98)0.027
PTEN expression    
Intact (N = 243)1 (referent) 1 (referent) 
Lost (N = 342)1.88 (1.24–2.84)0.0031.83 (1.22–2.75)0.004
MSI status    
Non-MSI-high (N = 478)1 (referent) 1 (referent) 
MSI-high (N = 93)0.38 (0.22–0.65)<0.0010.46 (0.26–0.82)0.008
AJCC disease stage    
I to II (N = 319)1 (referent) 1 (referent) 
III to IV (N = 231)1.78 (1.21–2.63)0.0041.62 (1.09–2.43)0.019
Year of diagnosis (per 5-year increase)0.77 (0.63–0.94)0.0100.79 (0.65–0.96)0.027

* IPW was applied to reduce selection bias due to the availability of tumor tissue.

†The multivariable ordinal logistic regression model initially included sex, age, year of diagnosis, tumor differentiation, disease stage, family history of colorectal cancer, tumor location, microsatellite instability, CpG island methylator phenotype, long-interspersed nucleotide element-1 methylation level, KRAS mutation and BRAF mutation. A backward elimination with a threshold P of 0.05 was used to select variables for the final models. The variables which remained in the final models are shown in this table.

Abbreviations: AJCC, American Joint Committee on Cancer; CI, confidence interval; IPW, inverse probability weighting; MSI, microsatellite instability; OR, odds ratio; PD-L1, programmed cell death 1 ligand 1.

Inverse probability weighting-adjusted ordinal logistic regression analysis to assess the association of tumor PIK3CA mutation or PTEN expression (predictor) with CD274 (PD-L1) expression (outcome) * IPW was applied to reduce selection bias due to the availability of tumor tissue. †The multivariable ordinal logistic regression model initially included sex, age, year of diagnosis, tumor differentiation, disease stage, family history of colorectal cancer, tumor location, microsatellite instability, CpG island methylator phenotype, long-interspersed nucleotide element-1 methylation level, KRAS mutation and BRAF mutation. A backward elimination with a threshold P of 0.05 was used to select variables for the final models. The variables which remained in the final models are shown in this table. Abbreviations: AJCC, American Joint Committee on Cancer; CI, confidence interval; IPW, inverse probability weighting; MSI, microsatellite instability; OR, odds ratio; PD-L1, programmed cell death 1 ligand 1. We evaluated the association of the combined status of PIK3CA mutation and PTEN expression with CD274 overexpression (Table 3). PIK3CA-mutated PTEN-lost tumors (n = 33) showed higher prevalence of CD274-positivity (82%) than PIK3CA-wild-type PTEN-lost tumors (n = 204; 70% CD274-positivity), PIK3CA-mutated PTEN-expressed tumors (n = 24; 50% CD274-positivity), and PIK3CA-wild-type PTEN-expressed tumors (n = 123; 50% CD274-positivity) (P = .003). In the multivariable ordinal logistic regression model, the coexistence of PIK3CA mutation and loss of PTEN expression was significantly associated with CD274 overexpression (multivariable OR, 3.70; 95% CI, 1.69–8.19, compared to PIK3CA wild-type PTEN-intact tumors; P = .001) (Table 4).
Table 3.

CD274 (PD-L1) expression score according to PIK3CA mutation and PTEN expression in tumor tissue

  PIK3CA mutation and PTEN expression
 
Characteristic*All cases(N = 384)PIK3CA wild-type/PTEN intact (N = 123)PIK3CA mutant/PTEN intact (N = 24)PIK3CA wild-type/PTEN lost (N = 204)PIK3CA mutant/PTEN lost (N = 33)P value
CD274 (PD-L1) expression score     0.003
Negative140 (36%)61 (50%)12 (50%)61 (30%)6 (18%) 
Low100 (26%)26 (21%)5 (20%)58 (28%)11 (33%) 
High144 (38%)36 (29%)7 (29%)85 (42%)16 (48%) 

* (%) indicates the proportion of patients with a specific CD274 expression score category among all patients or in strata of PIK3CA mutation and PTEN expression.

†To compare categorical data between PIK3CA mutation and PTEN expression categories, the chi-square test was performed.

Abbreviations: PD-L1, programmed cell death 1 ligand 1.

Table 4.

Inverse probability weighting-adjusted ordinal logistic regression analysis to assess the association of the combination of PIK3CA mutation and PTEN expression (predictor) with CD274 (PD-L1) expression (outcome)

CharacteristicCD274 (PD-L1) expressionFor one category increase in three ordinal CD274 categories
UnivariableOR (95% CI)*P valueMultivariableOR (95% CI)*P value
Combination of PIK3CA mutation and PTEN expression    
PIK3CA wild-type/PTEN intact (N = 123)1 (referent) 1 (referent) 
PIK3CA mutant/PTEN intact (N = 24)1.49 (0.59–3.77)0.401.56 (0.63–3.86)0.33
PIK3CA wild-type/PTEN lost (N = 204)1.97 (1.23–3.16)0.0051.90 (1.19–3.06)0.008
PIK3CA mutant/PTEN lost (N = 33)3.53 (1.55–8.07)0.0033.70 (1.68–8.19)0.001
MSI status    
Non-MSI-high (N = 322)1 (referent) 1 (referent) 
MSI-high (N = 63)0.35 (0.21–0.61)<0.0010.35 (0.20–0.62)<0.001

* IPW was applied to reduce selection bias due to the availability of tumor tissue.

†The multivariable ordinal logistic regression model initially included sex, age, year of diagnosis, tumor differentiation, disease stage, family history of colorectal cancer, tumor location, microsatellite instability, CpG island methylator phenotype, long-interspersed nucleotide element-1 methylation level, KRAS mutation and BRAF mutation. A backward elimination with a threshold P of 0.05 was used to select variables for the final models.

Abbreviations: CI, confidence interval; IPW, inverse probability weighting; MSI, microsatellite instability; OR, odds ratio; PD-L1, programmed cell death 1 ligand 1.

CD274 (PD-L1) expression score according to PIK3CA mutation and PTEN expression in tumor tissue * (%) indicates the proportion of patients with a specific CD274 expression score category among all patients or in strata of PIK3CA mutation and PTEN expression. †To compare categorical data between PIK3CA mutation and PTEN expression categories, the chi-square test was performed. Abbreviations: PD-L1, programmed cell death 1 ligand 1. Inverse probability weighting-adjusted ordinal logistic regression analysis to assess the association of the combination of PIK3CA mutation and PTEN expression (predictor) with CD274 (PD-L1) expression (outcome) * IPW was applied to reduce selection bias due to the availability of tumor tissue. †The multivariable ordinal logistic regression model initially included sex, age, year of diagnosis, tumor differentiation, disease stage, family history of colorectal cancer, tumor location, microsatellite instability, CpG island methylator phenotype, long-interspersed nucleotide element-1 methylation level, KRAS mutation and BRAF mutation. A backward elimination with a threshold P of 0.05 was used to select variables for the final models. Abbreviations: CI, confidence interval; IPW, inverse probability weighting; MSI, microsatellite instability; OR, odds ratio; PD-L1, programmed cell death 1 ligand 1.

Discussion

We conducted this study to test the hypothesis that tumor PIK3CA mutation or PTEN loss might be associated with tumor CD274 (PD-L1) expression levels in colorectal cancer. We found that loss of PTEN was statistically significantly associated with higher CD274 expression, independent of other molecular features, including MSI status, CIMP status, and LINE-1 methylation level. In addition, the combination of PIK3CA mutation and loss of PTEN expression was more strongly associated with higher CD274 expression than loss of PTEN expression alone, suggesting that PIK3CA mutation may have additional influences on CD274 expression. To our best knowledge, only one prior study has examined the association between PTEN loss and CD274 expression in human colorectal cancer specimens (from 314 cases).[26] Although another study has examined PIK3CA mutation in relation to CD274 expression in 66 colorectal cancer patients, the association could not be assessed because the sample size for this comparison was small.[51] The current study is the largest study that assessed PIK3CA mutation and PTEN loss (and the first study that assessed their combined status) in relation to CD274 expression in colorectal cancer. It is important to further investigate the consequences of activated PI3K signaling, as our findings suggest a potential role for the PI3K signaling pathway in CD274 (PD-L1) upregulation in colorectal cancer. The PI3K signaling pathway is crucial in numerous cellular processes, including metabolism, cell survival, differentiation, proliferation, motility, and angiogenesis.[52] Evidence suggests that aberrant alterations of the PI3K pathway by either PIK3CA mutation or PTEN loss are potential predictive biomarkers for adjuvant therapy in colorectal cancer.[15,22,30] Recent studies have shown that activation of the PI3K pathway regulates tumor-intrinsic and immune-intrinsic features of the immunosuppressive tumor microenvironment.[53,54] In particular, PTEN abrogation generates an immune-suppressive microenvironment by altering cytokine secretion patterns.[8] Moreover, a few studies have indicated that activation of PI3K signaling may promote immune escape through regulating PDCD1 (PD-1)/CD274 expression.[3,55] In triple-negative breast cancer, a study reported that knockdown of PTEN genes led to high CD274 levels and decreased T-cell proliferation and increased apoptosis.[4] Other studies have shown that the inhibition of the PI3K pathway results in CD274 downregulation in various cancer cell lines.[3,5,56] We previously assessed the association between tumor CD274 expression and T cell infiltration.[46] We found that tumor CD274 expression level was not associated with overall T cell density but inversely associated with FOXP3+ cell densities,[46] suggesting that the PDCD1 immune checkpoint pathway and regulatory T cells infiltration may be generally mutually exclusive mechanisms of immune evasion. Although more research is needed to clarify the downstream signaling of PDCD1, our findings, based on a large U.S. nationwide sample of human colorectal cancers, support the association of loss of PTEN expression with higher CD274 expression, spurring subsequent studies to assess whether PI3K pathway inhibition can be exploited as a new treatment strategy to supplement immune checkpoint inhibition in colorectal cancer.[8,57] The mechanisms by which the PI3K signaling pathway upregulate CD274 expression remain to be fully characterized. Although direct transcriptional upregulation by the PI3K pathway may be responsible for higher CD274 expression in breast cancer cell lines,[4] post-translational mechanisms have also been implicated in colorectal cancer or other cancer cell lines.[26,31,32] It is possible that the PI3K signaling pathway upregulate CD274 expression via transcriptional and/or post-transcriptional mechanisms depending on tumor type. Evidence also indicates that tumor CD274 expression differs by colorectal cancer molecular subtypes.[46,58] More evidence from in vitro and in vivo studies of different tumor types is needed to clarify the mechanisms. Mounting evidence suggests that epigenetic aberrations contribute to cancer development.[59] LINE-1 hypomethylation, which reflects the global DNA hypomethylation, has been associated with poor clinical outcomes in colorectal cancer.[60,61] CIMP-high colorectal cancer represents a subset of colorectal cancer developing through epigenetic instability.[62-65] We conducted stratified analyses by LINE-1 methylation level and CIMP status, and assessed the effect of those markers on our results. However, there was little evidence for substantial effect modification. We acknowledge several limitations in this study. First, our study examined PIK3CA mutation and PTEN loss but did not examine somatic mutations in PTEN gene.[66] However, the majority of cases with PTEN loss in colorectal cancer have been attributed to epigenetic causes such as hypermethylation,[30] and immunohistochemistry used in this study is able to detect loss of protein expression irrespective of cause. Second, measurement errors may exist in molecular tissue data. However, such errors would likely be nearly randomly distributed and drive our results toward the null hypothesis. Third, our study was an observational, cross-sectional analysis, and further in vivo and in vitro experimental studies are needed to elucidate the mechanisms underlying our findings. Lastly, in this study, separate single-color immunohistochemistry assays did not allow the examination of co-expression patterns of PTEN and CD274 at the single cell level. Therefore, multiplex immunohistochemistry or immunofluorescence assays should be considered in future studies. This study has notable strengths. First, the integrated molecular pathological epidemiology[67,68] database of clinical, pathological, and tumor molecular characteristics allowed us to rigorously investigate the potential interactive association of the PI3K pathway and tumor PDCD1/CD274 axis in colorectal cancer. Moreover, our prospective cohort studies enabled us to adjust for selection bias due to tissue availability utilizing the 4,465 incident colorectal cancer cases.[50] We have conducted a separate analysis that examined lymphocytic reaction patterns in relation to colorectal cancer survival, using the same cohort studies.[69] In the current study, we tested the hypothesis on CD274 expression in relation to PIK3CA mutation and loss of PTEN expression. As illustrated by these studies, because the large integrated database of clinical, pathological, and tumor molecular characteristics has been established, we can utilize it to test different hypotheses in an efficient and robust manner. In addition, cases and specimens in our study were drawn from a large number of hospitals located throughout the U.S., which increased the generalizability of our findings. In conclusion, our data indicate that PI3K pathway activation by PTEN loss and/or PIK3CA mutation is associated with CD274 (PD-L1) overexpression in colorectal tumor tissue, supporting the role of PI3K signaling in the CD274 upregulation. Click here for additional data file.
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Authors:  Kristin J Lastwika; Willie Wilson; Qing Kay Li; Jeffrey Norris; Haiying Xu; Sharon R Ghazarian; Hiroshi Kitagawa; Shigeru Kawabata; Janis M Taube; Sheng Yao; Linda N Liu; Joell J Gills; Phillip A Dennis
Journal:  Cancer Res       Date:  2015-12-04       Impact factor: 12.701

Review 2.  PIK3CA Mutation, Aspirin Use after Diagnosis and Survival of Colorectal Cancer. A Systematic Review and Meta-analysis of Epidemiological Studies.

Authors:  L Paleari; M Puntoni; M Clavarezza; M DeCensi; J Cuzick; A DeCensi
Journal:  Clin Oncol (R Coll Radiol)       Date:  2015-12-17       Impact factor: 4.126

Review 3.  Insights into Pathogenic Interactions Among Environment, Host, and Tumor at the Crossroads of Molecular Pathology and Epidemiology.

Authors:  Shuji Ogino; Jonathan A Nowak; Tsuyoshi Hamada; Danny A Milner; Reiko Nishihara
Journal:  Annu Rev Pathol       Date:  2018-08-20       Impact factor: 23.472

4.  Utility of inverse probability weighting in molecular pathological epidemiology.

Authors:  Li Liu; Daniel Nevo; Reiko Nishihara; Yin Cao; Mingyang Song; Tyler S Twombly; Andrew T Chan; Edward L Giovannucci; Tyler J VanderWeele; Molin Wang; Shuji Ogino
Journal:  Eur J Epidemiol       Date:  2017-12-20       Impact factor: 8.082

5.  Evaluation of PIK3CA mutation as a predictor of benefit from nonsteroidal anti-inflammatory drug therapy in colorectal cancer.

Authors:  Enric Domingo; David N Church; Oliver Sieber; Rajarajan Ramamoorthy; Yoko Yanagisawa; Elaine Johnstone; Brian Davidson; David J Kerr; Ian P M Tomlinson; Rachel Midgley
Journal:  J Clin Oncol       Date:  2013-09-23       Impact factor: 44.544

6.  Association of autophagy status with amount of Fusobacterium nucleatum in colorectal cancer.

Authors:  Koichiro Haruki; Keisuke Kosumi; Tsuyoshi Hamada; Tyler S Twombly; Juha P Väyrynen; Sun A Kim; Yohei Masugi; Zhi Rong Qian; Kosuke Mima; Yoshifumi Baba; Annacarolina da Silva; Jennifer Borowsky; Kota Arima; Kenji Fujiyoshi; Mai Chan Lau; Peilong Li; Chunguang Guo; Yang Chen; Mingyang Song; Jonathan A Nowak; Reiko Nishihara; Katsuhiko Yanaga; Xuehong Zhang; Kana Wu; Susan Bullman; Wendy S Garrett; Curtis Huttenhower; Jeffrey A Meyerhardt; Marios Giannakis; Andrew T Chan; Charles S Fuchs; Shuji Ogino
Journal:  J Pathol       Date:  2020-02-03       Impact factor: 7.996

7.  A Low Tumor Mutational Burden and PTEN Mutations Are Predictors of a Negative Response to PD-1 Blockade in MSI-H/dMMR Gastrointestinal Tumors.

Authors:  Keigo Chida; Masahito Kawazu; Akihito Kawazoe; Toshihiro Suzuki; Yoshiaki Nakamura; Tetsuya Nakatsura; Takeshi Kuwata; Toshihide Ueno; Yasutoshi Kuboki; Daisuke Kotani; Takashi Kojima; Hiroya Taniguchi; Hiroyuki Mano; Masafumi Ikeda; Kohei Shitara; Itaru Endo; Takayuki Yoshino
Journal:  Clin Cancer Res       Date:  2021-04-29       Impact factor: 12.531

Review 8.  Rising incidence of early-onset colorectal cancer - a call to action.

Authors:  Naohiko Akimoto; Tomotaka Ugai; Rong Zhong; Tsuyoshi Hamada; Kenji Fujiyoshi; Marios Giannakis; Kana Wu; Yin Cao; Kimmie Ng; Shuji Ogino
Journal:  Nat Rev Clin Oncol       Date:  2020-11-20       Impact factor: 66.675

9.  Expression of programmed cell death protein 1 (PD-1) and its ligand PD-L1 in colorectal cancer: Relationship with sidedness and prognosis.

Authors:  Jonna Berntsson; Jakob Eberhard; Björn Nodin; Karin Leandersson; Anna H Larsson; Karin Jirström
Journal:  Oncoimmunology       Date:  2018-06-11       Impact factor: 8.110

10.  Clinical, Pathological, and Molecular Characteristics of CpG Island Methylator Phenotype in Colorectal Cancer: A Systematic Review and Meta-analysis.

Authors:  Shailesh M Advani; Pragati Advani; Stacia M DeSantis; Derek Brown; Helena M VonVille; Michael Lam; Jonathan M Loree; Amir Mehrvarz Sarshekeh; Jan Bressler; David S Lopez; Carrie R Daniel; Michael D Swartz; Scott Kopetz
Journal:  Transl Oncol       Date:  2018-07-30       Impact factor: 4.243

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1.  INPP4B inhibits glioma cell proliferation and immune escape via inhibition of the PI3K/AKT signaling pathway.

Authors:  Xiaoming Sun; Yani Chen; Xiaoyang Tao; Wenzi Zhang; Xinyu Wang; Xianhui Wang; Zhihua Ruan; Zhuo Chen
Journal:  Front Oncol       Date:  2022-09-06       Impact factor: 5.738

  1 in total

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