Literature DB >> 30291344

Identification of a subset of microsatellite-stable endometrial carcinoma with high PD-L1 and CD8+ lymphocytes.

Suzanne Crumley1, Katherine Kurnit2, Courtney Hudgens1,3, Bryan Fellman4, Michael T Tetzlaff1,3, Russell Broaddus5.   

Abstract

Immune checkpoint blockade has emerged as an effective therapeutic strategy for patients with advanced cancer. Identification of biomarkers associated with treatment efficacy will help to select patients more likely to respond to this approach. High levels of microsatellite instability, tumor expression of PD-L1, high tumor mutation burden, and increased tumor-infiltrating lymphocytes have all been associated with response to checkpoint inhibitor blockade. The purpose of this study was to determine if a subset of microsatellite-stable endometrioid endometrial carcinomas have higher immune cell infiltrates and/or expression of PD-L1. PD-L1 expression and characterization of immune cell infiltrates were analyzed in 132 microsatellite stable, FIGO grade 2 endometrioid carcinomas. PD-L1 was positive in 48% (63/132) of the tumors. Tumor cell expression of PD-L1 was significantly associated with lymphatic/vascular invasion and deep myometrial invasion. PD-L1 expression was especially prominent at the invasive front and in foci of tumor-associated squamous metaplasia. Twenty-one cases (16% of the total) with more diffuse and/or especially strong PD-L1 expression were identified. This PD-L1 high subset was associated with significantly higher numbers of tumor-associated CD3+ and CD8+ lymphocytes. Only one tumor in the PD-L1 high subset harbored a POLE mutation. PTEN immunohistochemical loss, a common event in endometrioid-type endometrial carcinoma and associated with local immune suppression in melanoma, was not associated with PD-L1 expression or lymphocyte/macrophage infiltration of the tumor. These results suggest that a subset of microsatellite-stable endometrial cancers has higher expression of PD-L1 and increased tumor-associated CD3+ and CD8+ lymphocytes, characteristics more commonly associated with endometrial cancers with high levels of microsatellite instability. These results suggest that screening strategies to select only microsatellite instability-high advanced endometrial cancers for checkpoint inhibitor therapy might exclude patients who could potentially benefit from this therapeutic approach.

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Year:  2018        PMID: 30291344      PMCID: PMC6395512          DOI: 10.1038/s41379-018-0148-x

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


Introduction

Endometrial cancer can be classified into four molecular clusters, including the ultramutated (characterized by mutation in the gene polymerase epsilon, POLE), hypermutated (characterized by high levels of microsatellite instability), copy number low (characterized by absence of POLE and TP53 mutations and absence of microsatellite instability-high), and copy number high (characterized by presence of TP53 gene mutations) clusters (1). Two of these groups (POLE and microsatellite instability-high) are associated with a high predicted mutational load. The neoantigens generated by the high mutational load in these tumors have been shown to elicit a more robust host immune response (2, 3). Both of these groups are associated with higher tumor-associated immune cells than the tumors in the microsatellite-stable group (2–5). Similarly, PD-L1 expression has been demonstrated to be higher in mismatch repair-deficient endometrial carcinomas compared to mismatch repair intact tumors (4–6). Therefore, much of the attention of immunotherapy research and clinical trials has focused on the microsatellite instability-high and POLE-mutated tumors (4–7). While microsatellite instability is routinely measured in many clinical pathology laboratories, POLE is not commonly interrogated by most clinically available next-generation sequencing hotspot panels. Quantifying tumor mutation burden typically requires whole exome sequencing or, at the very least, a sequencing panel of several hundred genes. Thus, most clinical labs lack effective means to assess tumor mutation burden. A complicating issue is that not all tumors with high mutation burdens have POLE mutation or high levels of microsatellite instability (8). For endometrial cancer, it was recently shown that elevated predicted neoantigen load was associated with better prognosis in the TCGA copy number low endometrioid group and in the copy number high serous-like group; neither of these groups is associated with POLE mutation or microsatellite instability-high (9). These results suggest that in addition to the POLE mutated and microsatellite instability-high endometrial cancers, there are specific subsets of hypomutated endometrial cancer that may be more immunogenic and have improved outcomes and potentially better response to immunotherapy. Therefore, the purpose of the current study was to determine if a subset of microsatellite-stable/mismatch repair intact endometrial cancers exhibit increased tumor cell expression of PD-L1 expression and an immune microenvironment with increased numbers of tumor associated immune cells.

Materials and Methods

Patient Selection

The study was approved by the University of Texas MD Anderson Cancer Center’s institutional review board (Protocol LAB01–718). Retrospective review from January 1, 2013 – May 5th, 2016 revealed 382 consecutive cases of endometrial carcinoma with available tissue that had previously been tested for DNA mismatch repair protein immunohistochemistry and/or microsatellite instability. It has been shown that endometrial tumor histology can influence PD-L1 expression, with higher expression observed in grade 3 endometrioid and non-endometrioid histologies (10). To minimize any possible variation in immune cell infiltrate that could be attributed to the histotype or grade of tumor, we selected for further examination FIGO grade 2 endometrioid carcinomas, as this was the most common histotype. A total of 132 microsatellite-stable, FIGO grade 2 endometrial endometrioid cancers with intact immunohistochemical expression of MLH1, MSH2, MSH6, and PMS2 were identified for further study (Figure 1). Tumor histotype was verified by light microscopic examination of H&E stained slides. Clinical and pathological variables, including, patient age, tumor size, myometrial invasion (less than or greater than 50%), lymphovascular space invasion, and tumor stage, were derived from the electronic medical record and pathology reports.
Figure 1.

Schematic overview of study design. A total of 382 endometrial cancers were tested for mismatch repair immunohistochemistry and/or PCR-based microsatellite instability analysis. From this group, 132 FIGO grade 2, microsatellite-stable endometrial cancers with intact expression of mismatch repair proteins were identified. PD-L1, PTEN, CD3, CD8, and CD68 immunohistochemical analyses were performed in this set of tumors.

Assessment of DNA mismatch repair

Mismatch repair protein and microsatellite instability testing were performed according to methodology previously described (11). Immunohistochemistry of mismatch repair proteins was performed using standard techniques for MLH1 (G168–15 1:25; BD Biosciences Pharmingen), MSH2 (FE11, 1:100; Calbiochem), MSH6 (44, 1:300; BD Biosciences Pharmingen), and PMS2 (Alb-4, 1:125; BD Biosciences Pharmingen). Immunohistochemistry was scored as mismatch repair protein intact or deficient using light microscopic examination. Complete absence of mismatch repair protein expression was required in order for a case to be designated as mismatch repair deficient. Stromal cells served as an internal positive control. PCR-based microsatellite instability analysis was performed using 7 microsatellites (TGFBR2 and the 6 National Cancer Institute recommended microsatellites, BAT25, BAT26, BAT40, D2S123, D5S346, and D17S250). A tumor was considered microsatellite instability-high if three or more of the seven markers demonstrated allelic shift. Tumors without allelic shift were designated as microsatellite stable.

Immunohistochemistry

Immunohistochemistry was performed on a Leica Bond autostainer with the following antibodies and 3,3’-diaminobenzidine chromogen: CD3 (Dako AO452, 1:100), CD8 (Life Sciences Technology MS457s, 1:25), CD68 (Dako PG-M1, 1:450), programmed death ligand-1 (PD-L1; Cell Signaling Technology 13684S, clone E13N, 1:100), PTEN (Dako, clone 6H2.1, 1:100), p53 (Dako, clone D0–7, 1:100), and β-catenin (BD Biosciences, clone 14, 1:1500). Immunohistochemistry for PTEN, PD-L1, p53, and β-catenin was assessed by light microscopic examination. PTEN staining was classified as positive, negative, or heterogeneous, with adjacent stromal cells serving as an internal positive control (12; Figure 1). PD-L1 expression was characterized in tumor cells and classified as 1+ (faint), 2+ (moderate), and 3+ (strong) as well as the percentage of positive staining present. A subgroup of cases with either 2% or greater percentage of staining in the tumor and/or 3+ tumor positivity was considered as the “tumor PD-L1 high positive” subgroup. We focused primarily on PD-L1 expression in tumor cells, rather than expression in stroma or tumor-associated inflammatory cells, as tumor cell PD-L1 expression is associated with response to anti-PD-1 therapy (13), and there is poor inter-observer agreement for interpretation of PD-L1 in tumor-associated immune cells (14). This PD-L1 antibody clone (E13N) has been recently shown to have comparable performance characteristics as the FDA-approved companion diagnostic assays employing clones 22c3 and 28–8 (14). Any nuclear expression of β-catenin by light microscopy is highly associated with the presence of an exon 3 CTNNB1 gene mutation (15). For p53 immunohistochemistry, scattered nuclear staining in the tumor is correlated to TP53 gene wildtype, while strong, diffuse nuclear expression or complete lack of nuclear staining is associated with TP53 gene mutation (summarized for endometrial cancer in 16).

Tumor-associated immune cell infiltrate analysis

Immunohistochemistry with antibodies for CD3 (lymphocytes), CD8 (lymphocytes), and CD68 (macrophages) was used to determine the composition, density, and distribution of the tumor-associated immune cell infiltrates. Immunohistochemical stained slides were analyzed using image analysis software (Aperio ImageScope) in order to quantify the number of positive cells within designated areas. Slides were scanned at 20X (Aperio Scanscope AT Turbo; Leica Biosystems) utilizing methods previously described (17). The areas of highest positive cell density for each immune cell marker were identified by placement of five 1 mm2 boxes in the center of the tumor and along the periphery/leading edge of the tumor (Figure 2). The periphery/leading edge of the tumor was defined as +/− 1 mm from the invasive tumor front (if present) or +/− 1 mm from the endometrial-myometrial interface. The center of the tumor was defined as the area greater than 1 mm towards the luminal aspect from the endometrial-myometrial interface or invasive tumor front (Figure 2). Therefore, for both the tumor periphery and center, a total of 5 mm2 areas containing the highest density of CD3-, CD8-, or CD68- positive cells were identified. The single highest density box among these was designated as the hotspot for each immune cell marker. “Overall” was defined as the combined sum of the positive cells tabulated along the tumor periphery and within the tumor center. For each region (periphery, center, hotspot, and overall), the number of total positive cells was added and divided by the total area (mm2) in which the cells were counted. The results for CD3, CD8, and CD68 were reported as number of positive cells/mm2.
Figure 2.

Photomicrographs demonstrating approach for quantification of tumor-associated lymphocytes and macrophages (A and B) and representative examples of PD-L1 expression in endometrioid endometrial adenocarcinoma (C and D). A. Representative H&E of an endometrial cancer to demonstrate definitions of tumor center and periphery. B. Quantification of CD3+, CD8+, and CD68+ cells in the tumor center and periphery was performed using Aperio whole slide imaging software. Five 1 mm2 boxes were placed at the tumor center (yellow boxes) and periphery (green boxes) in the areas of highest staining density by morphologic examination. Following quantification of positive cells in each box, mean positive cells/mm2 was calculated for the tumor center and periphery. C. Positive PD-L1 expression in the invasive front of an endometrial cancer. D. Positive PD-L1 expression in foci of squamous metaplasia in an endometrial cancer.

POLE Mutational Analysis

The cases designated as tumor PD-L1 high (n=21) were tested by Sanger sequencing for mutation in the exonuclease domain of DNA polymerase ε (POLE; exons 9–14) (18). Microdissected sections from formalin-fixed, paraffin-embedded tumor were used for sequencing. DNA was extracted using the Pico Pure DNA extraction kit (Applied Biosystems).

Statistical Analysis

Demographic and clinical characteristics for all patients were summarized with descriptive statistics. Characteristics were compared by tumor PD-L1 status (negative vs. positive; negative vs high positive). Wilcoxon rank-sum test was used to compare continuous variables, and chi –squared or Fisher’s exact test was used to compare categorical variables. A Bonferroni correction was used to control the false discovery rate within each of the main comparisons. Statistical significance threshold was defined at 0.0025 (0.05/20). All statistical analyses were conducted using Stata v14.1 (College Station, TX).

Results

The clinical and pathological characteristics for the 132 cases of mismatch repair intact endometrial endometrioid adenocarcinoma, FIGO Grade 2, are summarized in Table 1. The median patient age was 60 years. The majority of patients presented with early stage disease (stage I or II, 89% of patients).
Table 1.

Clinical and Pathological Characteristics of Mismatch Repair Intact Endometrial Carcinoma Cohort

Characteristics (n=132)Value
Age, median (range), years60 (27-88)
Tumor size*, median (range), mm35 (10-145)
FIGO tumor stage, n (%)
 I112 (85)
 II5 (4)
 III13 (10)
 IV2 (1)
Any myometrial invasion, n (%)
 Yes95 (72)
 No37 (28)
Myometrial invasion ≥50%, n (%)
 Yes30 (23)
 No102 (77)
Lymphovascular space invasion, n (%)
 Yes30 (23)
 No102 (77)
Metastasis to pelvic lymph nodes, n (%)
 Yes11 (8)
 No77 (58)
 Lymph node dissection not performed44 (33)
Metastasis to para-aortic lymph nodes, n (%)
 Yes5 (4)
 No46 (35)
 Lymph node dissection not performed81 (61)
PTEN immunohistochemistry
 Positive65 (49)
 Heterogeneous8 (6)
 Negative59 (45)
PD-L1 was positive in 48% (63/132) of the tumors. The majority of cases had weaker 1–2+ PD-L1 staining (55/63, 87%) and/or PD-L1 staining was very focal, staining 1% of the tumor (43/63, 68%). Tumor cell expression of PD-L1 was associated with deeper myometrial invasion and the presence of lymphatic/vascular space invasion in the hysterectomy (Table 2). Both advanced tumor stage (p=0.012) and PTEN loss (p=0.012) showed trends towards being associated with PD-L1 expression, but these differences were not statistically significant given the threshold of 0.0025 to control for false discovery with multiple comparisons (Table 2).
Table 2.

Clinical and Pathological Characteristics Associated with Tumor PD-L1 Positivity in Mismatch Repair Intact Grade 2 Endometrial Endometrioid Adenocarcinoma

VariableTumor PD-L1 negative (69/132; 52%)Tumor PD-L1 positive(63/132; 48%)p-value
Age, n, years
 Mean (SD)59 (12)59 (11)0.857
 Median (Minimum-Maximum)60 (27-82)60 (30-88)
Tumor size (mm), n (%)
 Mean (SD)43 (26)47 (27)0.202
 Median (Minimum- Maximum)35 (13-127)43 (10-145)
Tumor stage, n (%)
 I or II66 (96)51 (81)0.012
 III or IV3 (4)12 (19)
Any myometrial invasion, n (%)
 Yes44 (64)51 (81)0.028
 No25 (36)12 (19)
Myometrial invasion present and ≥50%, n (%)
 Yes7 (16)23 (45)0.002
 No37 (84)28 (55)
 Not applicable (no myometrial invasion)2512
LVSI, n (%)
 Yes8 (12)22 (35)0.001
 No61 (88)41 (65)
Metastasis to pelvic lymph nodes, n (%)
 Yes2 (5)9 (18)0.105
 No36 (95)41 (82)
Metastasis to para-aortic lymph nodes, n (%)
 Yes05 (15)0.156
 No17 (100)29 (85)
PTEN IHC, n (%)
 Positive42 (61)23 (37)0.012
 Heterogeneous2 (3)6 (10)
 Negative25 (36)34 (54)
CD3 (mean cells/mm2, SD)
 Overall800 (470)989 (642)0.110
 Hotspot1287 (688)1647 (622)0.024
 Periphery729 (436)1087 (746)0.003
 Center811 (516)920 (627)0.367
CD8 (mean cells/mm2, SD)
 Overall398 (293)571 (548)0.137
 Hotspot652 (441)950 (733)0.017
 Periphery383 (275)654 (604)0.010
 Center379 (319)508 (548)0.323
CD68 (mean cells/mm2, SD)
 Overall176 (158)179 (116)0.315
 Hotspot286 (241)308 (182)0.118
 Periphery157 (152)179 (120)0.058
 Center193 (183)183 (131)0.696
Despite controlling for endometrial cancer histotype (endometrioid), grade (FIGO 2), and having comparable mean patient ages for PD-L1 negative and PD-L1 positive groups, a broad spectrum of CD3+, CD8+, and CD68+ expression within the tumor was encountered. In general, CD3+ or CD8+ lymphocytes comprised most of the tumor-associated immune cell infiltrate, with smaller numbers of CD68+ macrophages (Table 2). The numbers of lymphocytes and macrophages did not differ significantly when comparing tumor center to tumor periphery (Table 2). Tumor cell expression of PD-L1 was not associated with significant differences in CD3+ or CD8+ tumor-associated lymphocytes, although the PD-L1 positive group showed trends towards higher numbers of these lymphocytes (Table 2). The number of CD68+ tumor-associated macrophages did not differ significantly according to PD-L1 expression (Table 2). Independent of PD-L1 expression, the presence of myometrial invasion, myometrial invasion ≥50% myometrial thickness, and lymphatic/vascular space invasion were not associated with significant changes in CD3+, CD8+, or CD68+ immune cell composition (data not shown). Tumor cell expression of PD-L1 was especially prominent in foci of tumor squamous metaplasia, foci of myometrial invasion, and foci of lymphatic/vascular space invasion (Figure 2 C, D). When present, squamous differentiation appeared to be more strongly associated with PD-L1 expression. Absence of squamous differentiation was noted in 74% of the PD-L1 negative cases, but only in 29% of the PD-L1 positive cases. A subset of tumors (21/63 PD-L1 positive cases, 33%; 21/132 total cases, 16%) had higher PD-L1 expression, characterized as either increased percentage of tumor cells positively staining or the presence of 3+ staining intensity. Sixteen of 63 cases (25%) had 2–5% of tumor staining, 3 cases (5%) had 6–20% of tumor staining, and 1 case (2%) had 75% of tumor staining. One case with 1% of tumor staining positive for PD-L1 was included in the PD-L1 high subset because it had stronger intensity of staining (3+) in tumor cells. Only 10% of the tumors in the PD-L1 high subset lacked squamous differentiation, and in 86% of the PD-L1 high tumors the squamous portion was positive for PD-L1. Presence of PD-L1 high was associated with significantly increased CD3+ and CD8+ lymphocytes in the tumor hotspot and significantly increased CD3+ lymphocytes in the tumor periphery compared to PD-L1 negative cases (Table 3). The number of CD68+ macrophages was not significantly different between PD-L1 high and PD-L1 negative cases (Table 3). Higher levels of PD-L1 were not significantly associated with any of the other clinical or pathological variables studied (Table 3).
Table 3.

Clinical and Pathological Characteristics Associated with High Tumor PD-L1 Positivity in Mismatch Repair Intact Grade 2 Endometrial Endometrioid Adenocarcinoma

VariableTumor PD-L1 negative (69/132; 52%)Tumor PD-L1 high positive(21/132; 16%)p-value
Age in years
 Mean (SD)59 (12)56 (12)0.260
 Median (Minimum-Maximum)60 (27-82)59 (30 – 77)
Tumor size (mm)
 Mean (SD)43 (26)35 (17)0.355
 Median (Minimum- Maximum)35 (13-127)31(12-75)
Tumor stage, n (%)
 I or II66 (96)18 (86)0.735
 III or IV3 (4)3 (14)
Any myometrial invasion, n (%)
 Yes44 (64)18 (86)0.065
 No25 (36)3 (14)
Myometrial invasion present and ≥50%, n (%)
 Yes7 (16)8 (44)0.017
 No37 (84)10 (56)
 Not applicable (no myometrial invasion)253
LVSI, n (%)
Yes8 (12)8 (38)0.005
 No61 (88)13 (62)
Metastasis to pelvic lymph nodes, n (%)
 Yes2 (5)3 (18)0.165
 No36 (95)14 (82)
Metastasis to para-aortic lymph nodes, n (%)
 Yes02 (18)0.146
 No17 (100)9 (82)
PTEN IHC, n (%)
 Positive42 (61)8 (38)0.148
 Heterogeneous2 (3)1 (5)
 Negative25 (36)12 (57)
CD3 (mean cells/mm2, SD)
 Overall800 (470)1174 (724)0.014
 Hotspot1287 (688)1963 (895)0.001
Periphery729 (436)1214 (749)0.002
 Center811 (516)1134 (766)0.066
CD8 (mean cells/mm2, SD)
 Overall398 (293)804 (755).017
 Hotspot652 (441)1233 (859)0.001
 Periphery383 (275)882 (782)0.003
 Center379 (319)720 (782)0.073
CD68 (mean cells/mm2, SD)
 Overall176 (158)170 (106)0.650
 Hotspot286 (241)287 (159)0.499
 Periphery157 (152)171 (109)0.231
 Center193 (183)170 (118)0.963
POLE mutation has been previously associated with increased tumor infiltrating lymphocytes (4). We hypothesized that because of its association with higher CD3+ and CD8+ lymphocytes, the PD-L1 high subset would be enriched with tumors with POLE mutation. However, only 1 mutation, a POLE exon 9 mutation, was identified in the PD-L1 high subset. This case was from a 60 year-old patient with a stage I, grade 2 endometrioid carcinoma with less than 50% myometrial invasion. Microscopically, this tumor did not have distinct features. Lymphatic/vascular space invasion was absent, and there was no metastasis in 12 surgically resected lymph nodes or the omentum. The tumor had 3+ strength of tumor staining for PD-L1 in approximately 3% of the tumor cells. The number of CD3+, CD8+, and CD68+ cells were not significantly higher in the one POLE mutant tumor compared to the POLE wildtype tumors (data not shown). Higher expression of PD-L1 has been observed in grade 3 endometrioid and non-endometrioid carcinomas (10). As these histotypes are associated with TP53 gene mutation and/or immunohistochemistry patterns suggestive of TP53 gene mutation, we speculated that the PD-L1 high subset was enriched with tumors with TP53 gene mutation. However, all of the 21 tumors in this subset had scattered, weak nuclear expression of p53, associated with TP53 gene wildtype (data not shown). Seven of the 21 tumors in the PD-L1 high subset had nuclear localization of β-catenin, associated with CTNNB1 gene mutation. The CD3+, CD8+, and CD68+ immune cell infiltrates in these 7 tumors were not significantly different compared to the 14 PD-L1 high cases without nuclear β-catenin (data not shown). PTEN loss is one of the most common molecular events in endometrioid-type endometrial carcinoma (12). In the 132 carcinomas examined in this study, 45% had PTEN protein loss by immunohistochemistry (Table 1). In melanoma, PTEN loss is associated with fewer CD8+ lymphocytes at the tumor site, decreased T-lymphocyte-mediated cell death, and decreased response to PD-1 blockade (19). In the current study, PTEN loss was not significantly associated with expression of PD-L1 or PD-L1 high (Tables 2 and 3). Independent of tumor PD-L1 status, there were no significant differences in numbers of CD3+ lymphocytes, CD8+ lymphocytes, or CD68+ macrophages in PTEN positive vs. PTEN negative tumors (Table 4).
Table 4.

Effect of PTEN status on Tumor-Associated Immune Cell Infiltrates

VariableTumor PTEN Negative(59/132; 45%)Tumor PTEN Positive/Heterogeneous(73/132; 55%)p-value
CD3 (mean cells/mm2, SD)
 Overall879 (556)899 (575)0.967
 Hotspot1466 (777)1454 (868)0.714
 Periphery908 (575)900 (678)0.517
 Center846 (588)879 (562)0.643
CD8 (mean cells/mm2, SD)
 Overall462 (411)495 (464)0.969
 Hotspot781 (596)803 (631)0.998
 Periphery507 (472)526 (500)0.844
 Center413 (404)464 (481)0.912
CD68 (mean cells/mm2, SD)
 Overall194 (159)163 (119)0.332
 Hotspot324 (232)274 (196)0.175
 Periphery182 (144)156 (130)0.219
 Center204 (182)175 (137)0.560

Discussion

Efforts to identify biomarkers associated with endometrial cancer patients most likely to respond to immune based therapeutic approaches are important. Endometrial cancer is the most common gynecologic malignancy, with an estimated 63,230 new diagnoses in 2018 (20). In contrast to many other common cancer types, incidence and annual deaths from endometrial cancer are increasing (20,21). There are few therapeutic options for women with advanced or recurrent endometrial cancer, and no new agents have been approved in the past few decades (22,23). Therefore, immune-based approaches, in carefully chosen patients, have the potential to make a real impact in this disease. In this study, we identified a subset (16%) of microsatellite-stable, mismatch repair intact endometrioid type endometrial carcinomas with increased tumor PD-L1 immunohistochemical staining (PD-L1 high positive subgroup). The tumors with increased tumor PD-L1 expression also showed increased numbers of CD3+ and CD8+ lymphocytes. This PD-L1 high group was not enriched with POLE mutations. These findings support the idea proposed by Shukla et al. (9) that there is a subset of POLE wildtype, mismatch repair intact endometrial cancers with increased tumor-associated lymphocytes. As yet unknown molecular mechanisms may underlie the recruitment of immune cells to these particular endometrioid carcinomas. Data from immunotherapy clinical trials will be necessary to determine if this subset is also more responsive to this therapeutic approach. Although PD-L1 expression has been shown to be more frequent in microsatellite instability-high/POLE-mutated endometrial cancer (4–6, 10), PD-L1 staining has also been reported in microsatellite-stable endometrial carcinoma. In recent studies, the reported percentage of mismatch repair intact endometrial carcinomas with tumor cell expression of PD-L1 ranged from 4–20% (4, 5, 10); this range is comparable to the percentage of PD-L1 high (16%) in the current study. The variable percentage of cases positive for PD-L1 may be due to varying methodologies, including different PD-L1 antibodies, inclusion of endometrioid versus non-endometrioid histologies, stochastic geographic differences in PD-L1 expression, as well as tissue sampling by microarray versus full tissue sections. To keep tumor histology constant, the current study only included patients with FIGO grade 2 endometrioid endometrial carcinomas. It has been previously shown that lower grade endometrioid tumors have lower PD-L1 expression compared to grade 3 endometrioid carcinomas and non-endometrioid carcinomas (10). The detection of any tumoral staining was higher in the current study (48%) as compared to these previous studies. This may be due, in part, to the fact that full tissue sections of tumor were used in the current study, as the staining by PD-L1 can be very focal (1% tumor cells positive in the majority of cases in this study). Given that we frequently observed positive PD-L1 tumor staining in the invasive front, inclusion of the periphery/invasive front should be considered if tissue microarray analyses are performed. Overall, the focal and weak PD-L1 staining in the majority of cases of mismatch repair intact endometrial cancers in our study is consistent with the results of previous published work. The immunohistochemical expression characteristics of PD-L1 identified in this study provide useful insight into the staining pattern in endometrial cancer. Cancers with metaplastic changes, such as squamous metaplasia, were noted to have increased PD-L1 staining (Figure 2). Tumor PD-L1 positivity was frequently noted in the invasive front in the tumor PD-L1 high subgroup. In addition, staining was noted more frequently in cases with lymphatic/vascular space invasion, which was also previously reported (10). This raises the possibility that the microcystic elongated fragmented pattern of endometrial cancer invasion (24) could be associated with PD-L1 expression, due to its morphologic associations with metaplastic changes and lymphatic/vascular space invasion. The current study was not optimally designed to examine any possible association between PD-L1 and this distinctive invasive pattern, as only 5% of the 132 endometrial cancers examined showed this invasion pattern. This relatively low percentage is likely due to the fact that 99/132 (75%) of the cases included in this study had no myometrial invasion or less than 50% myometrial thickness invasion (stage IA). The PD-L1 high subset was not associated with aberrant p53 tumor expression. Nuclear translocation of β-catenin did not preferentially occur in the PD-L1 high subset. Thus, other than the presence of squamous metaplasia, which is very common in endoometrioid carcinomas, and increased numbers of CD3 positive and CD8 positive lymphocytes, this PD-L1 high subset does not have distinctive clinical or pathological features. Based on these results, this subset would reside in the copy number-low TCGA group of endometrial cancers, which is the largest group (1). Tumors with POLE mutation, high levels of microsatellite instability, or high tumor mutation burden all seem to have in common a higher tumor associated immune cell infiltrate. This is important, as evidence suggests that increased tumor associated immune cells is associated with better survival and improved responses to checkpoint inhibitor therapy. In a mouse model of melanoma, pre-treatment with a PI3Kβ inhibitor resulted in increased tumor T lymphocytes and improved responses to anti-CTLA-4 and anti-PD-1 therapy (19). Responders to PD-1 blockade have significantly increased density in CD3+, CD8+, and CD45RO+ T lymphocytes in melanoma (25). In colorectal adenocarcinoma, higher intra-tumoral CD8+ T cells are associated with objective response to pembrolizumab (7). Higher expression in the tumor of CD8 mRNA is associated with higher PD-L1 mRNA expression and significantly increased survival in endometrioid-type endometrial carcinoma (26). It has been argued that both increased tumor associated lymphocytes and increased PD-L1 expression on tumor cells are necessary for optimal response to checkpoint inhibitor blockade (13). An emerging area of study is the concept that tumor associated mutations may act as molecular modifiers of immune cell function. PTEN loss has been shown to be associated with decreased CD8+ immune cells and resistance to anti-PD-1 therapy in melanoma (19). PTEN loss does not seem to be associated with increased PD-L1 expression in melanoma (19). It was proposed that PTEN loss and PD-L1 expression were occurring due to two separate mechanisms that evolved independently to influence the immune microenvironment. An association with PTEN loss and PD-L1 expression has been reported in other tumor types such as glioblastoma multiforme and colorectal cancer (27). In the current study, PTEN loss had no statistically significant impact on PD-L1 expression or the density of CD3, CD8, and CD68 tumor associated immune cells. This suggests that molecular modifiers of the local tumor immune response may be tumor type-specific. Using a pan-cancer analytic approach, tumor driver mutations in CTNNB1, NRAS, and IDH1 have been associated with lower levels of immune cells in tumors (28). NRAS and IDH1 mutations are uncommon in endometrial cancer, but CTNNB1 mutation occurs in approximately 20% of endometrioid endometrial carcinomas and has been associated with decreased recurrence-free survival (29,30). Activation of the Wnt/β-catenin pathway in melanoma is associated with local immune suppression (31). Such a mechanism of local immune suppression by CTNNB1 mutation or activation of the Wnt/β-catenin pathway has not yet been described for endometrial cancer, but it could explain, at least in part, the worse survival in this group of patients.
  31 in total

1.  Immune Microenvironment in Microsatellite-Instable Endometrial Cancers: Hereditary or Sporadic Origin Matters.

Authors:  Janelle B Pakish; Qian Zhang; Zhongyuan Chen; Han Liang; Gary B Chisholm; Ying Yuan; Samuel C Mok; Russell R Broaddus; Karen H Lu; Melinda S Yates
Journal:  Clin Cancer Res       Date:  2017-03-06       Impact factor: 12.531

2.  β-Catenin mutations in recurrent FIGO IA grade I endometrioid endometrial cancers.

Authors:  Andrea Myers; William T Barry; Michelle S Hirsch; Ursula Matulonis; Larissa Lee
Journal:  Gynecol Oncol       Date:  2014-06-18       Impact factor: 5.482

3.  PD-L1 Expression in Mismatch Repair-deficient Endometrial Carcinomas, Including Lynch Syndrome-associated and MLH1 Promoter Hypermethylated Tumors.

Authors:  Emily A Sloan; Kari L Ring; Brian C Willis; Susan C Modesitt; Anne M Mills
Journal:  Am J Surg Pathol       Date:  2017-03       Impact factor: 6.394

4.  Analysis of Immune Signatures in Longitudinal Tumor Samples Yields Insight into Biomarkers of Response and Mechanisms of Resistance to Immune Checkpoint Blockade.

Authors:  Pei-Ling Chen; Whijae Roh; Alexandre Reuben; Zachary A Cooper; Christine N Spencer; Peter A Prieto; John P Miller; Roland L Bassett; Vancheswaran Gopalakrishnan; Khalida Wani; Mariana Petaccia De Macedo; Jacob L Austin-Breneman; Hong Jiang; Qing Chang; Sangeetha M Reddy; Wei-Shen Chen; Michael T Tetzlaff; Russell J Broaddus; Michael A Davies; Jeffrey E Gershenwald; Lauren Haydu; Alexander J Lazar; Sapna P Patel; Patrick Hwu; Wen-Jen Hwu; Adi Diab; Isabella C Glitza; Scott E Woodman; Luis M Vence; Ignacio I Wistuba; Rodabe N Amaria; Lawrence N Kwong; Victor Prieto; R Eric Davis; Wencai Ma; Willem W Overwijk; Arlene H Sharpe; Jianhua Hu; P Andrew Futreal; Jorge Blando; Padmanee Sharma; James P Allison; Lynda Chin; Jennifer A Wargo
Journal:  Cancer Discov       Date:  2016-06-14       Impact factor: 39.397

Review 5.  Recent and current Phase II clinical trials in endometrial cancer: review of the state of art.

Authors:  Stephanie Lheureux; Michelle Wilson; Helen J Mackay
Journal:  Expert Opin Investig Drugs       Date:  2014-04-09       Impact factor: 6.206

6.  Lymphovascular space invasion in microcystic elongated and fragmented (MELF)-pattern well-differentiated endometrioid adenocarcinoma is associated with a higher rate of lymph node metastasis.

Authors:  Johann D Hertel; Phyllis C Huettner; John D Pfeifer
Journal:  Int J Gynecol Pathol       Date:  2014-03       Impact factor: 2.762

7.  Clinical assessment of PTEN loss in endometrial carcinoma: immunohistochemistry outperforms gene sequencing.

Authors:  Bojana Djordjevic; Bryan T Hennessy; Jie Li; Bedia A Barkoh; Rajyalakshmi Luthra; Gordon B Mills; Russell R Broaddus
Journal:  Mod Pathol       Date:  2012-02-03       Impact factor: 7.842

Review 8.  Moving forward with actionable therapeutic targets and opportunities in endometrial cancer: NCI clinical trials planning meeting report on identifying key genes and molecular pathways for targeted endometrial cancer trials.

Authors:  Helen J MacKay; Douglas A Levine; Victoria L Bae-Jump; Daphne W Bell; Jessica N McAlpine; Alessandro Santin; Gini F Fleming; David G Mutch; Kenneth P Nephew; Nicolas Wentzensen; Paul J Goodfellow; Oliver Dorigo; Hans W Nijman; Russell Broaddus; Elise C Kohn
Journal:  Oncotarget       Date:  2017-08-03

9.  Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden.

Authors:  Zachary R Chalmers; Caitlin F Connelly; David Fabrizio; Laurie Gay; Siraj M Ali; Riley Ennis; Alexa Schrock; Brittany Campbell; Adam Shlien; Juliann Chmielecki; Franklin Huang; Yuting He; James Sun; Uri Tabori; Mark Kennedy; Daniel S Lieber; Steven Roels; Jared White; Geoffrey A Otto; Jeffrey S Ross; Levi Garraway; Vincent A Miller; Phillip J Stephens; Garrett M Frampton
Journal:  Genome Med       Date:  2017-04-19       Impact factor: 11.117

10.  Nuclear β-catenin localization and mutation of the CTNNB1 gene: a context-dependent association.

Authors:  Grace Kim; Katherine C Kurnit; Bojana Djordjevic; Charanjeet Singh; Mark F Munsell; Wei-Lien Wang; Alexander J Lazar; Wei Zhang; Russell Broaddus
Journal:  Mod Pathol       Date:  2018-05-24       Impact factor: 7.842

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  14 in total

Review 1.  Immunotherapy in endometrial cancer: rationale, practice and perspectives.

Authors:  Wenyu Cao; Xinyue Ma; Jean Victoria Fischer; Chenggong Sun; Beihua Kong; Qing Zhang
Journal:  Biomark Res       Date:  2021-06-16

2.  The immunologic tumor microenvironment in endometrioid endometrial cancer in the morphomolecular context: mutual correlations and prognostic impact depending on molecular alterations.

Authors:  Barbara Willvonseder; Fabian Stögbauer; Katja Steiger; Moritz Jesinghaus; Peer-Hendrik Kuhn; Christine Brambs; Jutta Engel; Holger Bronger; Georg Philipp Schmidt; Bernhard Haller; Wilko Weichert; Gisela Keller; Aurelia Noske; Nicole Pfarr; Melanie Boxberg
Journal:  Cancer Immunol Immunother       Date:  2020-12-19       Impact factor: 6.968

3.  PD-L1 Expression Correlates With Young Age and CD8+ TIL Density in Poorly Differentiated Cervical Squamous Cell Carcinoma.

Authors:  Ozlen Saglam; Junmin Zhou; Xuefeng Wang; Jose R Conejo-Garcia
Journal:  Int J Gynecol Pathol       Date:  2020-09       Impact factor: 3.326

4.  Identification of long noncoding RNA RP11-89K21.1 and RP11-357H14.17 as prognostic signature of endometrial carcinoma via integrated bioinformatics analysis.

Authors:  Lingling Gao; Xin Nie; Wenchao Zhang; Rui Gou; Yuexin Hu; Yue Qi; Xiao Li; Qing Liu; Juanjuan Liu; Bei Lin
Journal:  Cancer Cell Int       Date:  2020-06-24       Impact factor: 5.722

Review 5.  Emerging role of PTEN loss in evasion of the immune response to tumours.

Authors:  Thiago Vidotto; Camila Morais Melo; Erick Castelli; Madhuri Koti; Rodolfo Borges Dos Reis; Jeremy A Squire
Journal:  Br J Cancer       Date:  2020-04-24       Impact factor: 7.640

6.  Prognostic and Clinicopathological Role of PD-L1 in Endometrial Cancer: A Meta-Analysis.

Authors:  Ling Lu; Yonghong Li; Rong Luo; Junhui Xu; Jie Feng; Mingqiang Wang
Journal:  Front Oncol       Date:  2020-04-30       Impact factor: 6.244

7.  Predictive Values of Programmed Cell Death-Ligand 1 Expression for Prognosis, Clinicopathological Factors, and Response to Programmed Cell Death-1/Programmed Cell Death-Ligand 1 Inhibitors in Patients With Gynecological Cancers: A Meta-Analysis.

Authors:  Chen Zhang; Qing Yang
Journal:  Front Oncol       Date:  2021-02-01       Impact factor: 6.244

8.  POLE and Mismatch Repair Status, Checkpoint Proteins and Tumor-Infiltrating Lymphocytes in Combination, and Tumor Differentiation: Identify Endometrial Cancers for Immunotherapy.

Authors:  Dandan Dong; Huajiang Lei; Duanya Liu; Hansong Bai; Yue Yang; Baijie Tang; Ke Li; Juan Liu; Gang Xu; Xue Xiao
Journal:  Front Oncol       Date:  2021-03-19       Impact factor: 6.244

9.  Identification of biomarkers of immune checkpoint blockade efficacy in recurrent or refractory solid tumor malignancies.

Authors:  Richard K Yang; Yun Qing; Fatima Zahra Jelloul; Mark J Routbort; Peng Wang; Kenna Shaw; Jiexin Zhang; Jack Lee; L Jeffrey Medeiros; Scott Kopetz; Michael T Tetzlaff; Russell R Broaddus
Journal:  Oncotarget       Date:  2020-02-11

10.  Identification of novel prognosis-related genes in the endometrial cancer immune microenvironment.

Authors:  Jian Ma; Jing-Kai Zhang; Di Yang; Xiao-Xin Ma
Journal:  Aging (Albany NY)       Date:  2020-11-06       Impact factor: 5.682

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