Literature DB >> 32859740

Brain metastasis PD-L1 and CD8 expression is dependent on primary tumor type and its PD-L1 and CD8 status.

Florian Camy1, Georgia Karpathiou2, Jean Marc Dumollard1, Nicolas Magne3, Jean Luc Perrot4, Francois Vassal5, Tiphanie Picot1, Mousa Mobarki1,6, Fabien Forest1, Francois Casteillo1, Sirine Hathroubi1, Marios Froudarakis7, Michel Peoc'h1.   

Abstract

BACKGROUND: Brain metastases (Bmets) are frequent; however, limited data exist on the efficacy of immunotherapy in these lesions. The aims of the study were to analyze the immunohistochemical expressions of programmed death ligand 1 (PD-L1) and CD8 in Bmets and to compare them with their expressions in paired primary tumors, as well as correlate the results with clinicopathological features.
METHODS: This is a retrospective study of 233 patients with Bmets and 111 paired primaries. Clinical, histological, and molecular data were recorded and compared with the immunohistochemical results of PD-L1 and CD8 expressions. The statistical analysis included χ2 test, Cramer's V test, factorial analyses of variance, simple regression analysis, and Kaplan-Meier analysis with log-rank product limit estimation.
RESULTS: PD-L1 expression was found in 23.6% of Bmets and in 29.0% of primary tumors with concordant expression between them in 75.5% of cases. Bmets PD-L1 expression was associated with primary tumor PD-L1 expression and the primary tumor type. Significant CD8 peritumoral expression was found in 68.6% of Bmets and in 87.7% of primary tumors. CD8 expression was concordant between primary and metastatic tumors in 73.3% of cases. Bmets CD8 expression was associated with primary tumor CD8 expression and primary tumor type. PD-L1 expression was associated with CD8 expression in both primary and metastatic tumors. The concordance between primary and metastatic tumor PD-L1 expression was independent of all factors studied. The concordance between primary and metastatic CD8 expressions was marginally associated to the time of Bmets development. No prognostic role for PD-L1 and CD8 expression in Bmets was found.
CONCLUSION: PD-L1 and CD8 Bmets expressions are associated with the primary tumor type and its PD-L1 and CD8 expressions. No factor predicts the discordance for PD-L1 expression, while time to Bmets development is associated with CD8 expression discordance. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  CD8-positive T-lymphocytes; biomarkers, tumor; brain neoplasms; immunotherapy; programmed cell death 1 receptor

Year:  2020        PMID: 32859740      PMCID: PMC7454240          DOI: 10.1136/jitc-2020-000597

Source DB:  PubMed          Journal:  J Immunother Cancer        ISSN: 2051-1426            Impact factor:   13.751


Introduction

Brain metastases (Bmets) are frequent, affecting from 10% to up to one-third of adult patients with cancer.1 2 They are the most common adult brain tumors, occurring 10 times more frequently than primary brain tumors.3 The most common cause of Bmets is pulmonary tumors, found in about 20% of the patients, followed by breast carcinoma and melanomas, with melanoma having the highest propensity to metastasize to the brain in comparison to other primaries.3 Other tumors showing a relatively high incidence for Bmets are gastrointestinal and renal tumors,3 4 while prostatic, thyroid, and ovarian cancers rarely cause them.3 Despite the fact that Bmets are frequent and are one of the most deleterious cancer localizations with important morbidity and mortality, many patients with Bmets are excluded from clinical trials, such that evidence of central nervous system (CNS) activity for the development of new drugs is rarely obtained.5 Immunotherapy, especially the blockade of inhibitory pathways which constrain the immune response, such as the ‘immune-checkpoints’ cytotoxic T-lymhocyte-associated protein 4 and programmed cell death 1 (PD-1), has gained great interest in the past few years due to impressive results in various tumor types. Anti-PD-1 and -programmed death ligand 1 (PD-L1) antibodies have been approved by the Food and Drug Administration for the treatment of melanoma, lung, renal, and head and neck cancers.4 Regarding the efficacy of immunotherapy in Bmets, relatively few data exist,6 as initial clinical trials had excluded these patients. The few and preliminary data show some intracranial responses in patients with melanoma or lung cancer Bmets treated by immunotherapy, especially in asymptomatic patients with no prior local treatment failure.4 The brain has long been considered as an immunoprivileged microenvironment; the influx of lymphocytes into the CNS is typically absent under normal circumstances, but disruption of the blood–brain barrier can occur in the presence of Bmets. The immune microenvironment under Bmets has been rarely explored. Similarly, the factors that could influence this microenvironment are unknown. Does a brain metastasis (BM) retain the same immunological characteristics as the primary tumor, such that the initial biopsy would be representative of the metastatic focus, or does it change according to the new microenvironment? Given the rarity of Bmets histological material, these questions are difficult to investigate. The aim of this study was to analyze the immunohistochemical expression of two main immune factors—PD-L1, an inhibitory molecule used by tumor cells to avoid the host immune response, and CD8, a marker of cytotoxic T lymphocytes—in a large series of Bmets and to compare their expressions with that in paired primary tumors, in order to investigate whether the BM preserves the same profile as the parental tumor. Furthermore, we aimed to compare the BM immune microenvironment with the various clinical and pathological characteristics, in order to see if it is dependent on any of these factors, but also to investigate whether these factors have an impact on any possible discordance of the immune microenvironment between the BM and the primary tumor.

Materials and methods

Study group

This was a retrospective study of patients histologically diagnosed with Bmets between 1994 and 2017 at the University Hospital of Saint-Etienne. Clinical data regarding the BM and the primary tumor were retrieved from electronic files. The data included sex, age at BM diagnosis, primary tumor type, stage and treatment, time to BM development, BM location, multiplicity, size (further grouped in tumors of ≤30 or >30 mm, as this is often considered as the cut-off for surgery1), symptomatology at BM presentation and performance status (PS), BM treatment, and survival after BM diagnosis. Survival was studied in association with clinical, histological, and immunohistochemical factors. All available histological and immunohistochemical slides from Bmets and primary tumors were examined in order to verify the correct diagnosis and to choose the most representative tissue for further analysis.

Immunohistochemical evaluation

An immunohistochemical study was performed in 233 Bmets and in 111 paired primary tumors. It was performed using 4 µm thick full sections in an automated staining system (OMNIS, Dako-Agilent, Santa Clara, California, USA). Positive immunoreactions were visualized using 3,3′-diaminobenzidine as the chromogenic substrate. Primary antibodies included PD-L1 (Dako Agilent, 22C3, 1/50, tonsil was used as positive control) and CD8 (Dako, C8/144B, 1/100). PD-L1 expression (figure 1) was recorded as the percentage of tumor cells showing membranous staining; a cut-off value of 1% was used for further statistical analysis.6 Only tumor cell positivity was recorded. Cases were considered to have concordant PD-L1 expression when both tumor samples (primary and brain metastasis) were positive or negative, according to the cut-off value of 1%. A semiquantitative system, as previously described,7–9 was applied to evaluate CD8 expression separately in the peritumoral and intratumoral compartments (figure 2): 0: no cells (0), 1: few cells (<10%), 2: moderate number of positive cells (≥10% and<40%), and 3: abundant cells (≥40%). A binary system of low (scores 0 and 1) and high (scores 2 and 3) CD8 lymphocytic response was used for further statistical analysis. For all analyses, the unanimous estimation between pathologists (FC, GK, and JMD) was used as the final value.
Figure 1

Pulmonary tumor compared with the corresponding brain metastasis showing concordant PD-L1 and CD8 expression: (A) primary tumor, (B) PD-L1 expression at the primary tumor, (C) CD8 expression at the primary tumor, (D) brain metastasis, (E) PD-L1 expression at the brain metastasis, and (F) CD8 expression at the brain metastasis. PD-L1, programmed death ligand 1.

Figure 2

Illustration of CD8 lymphocytic scoring in brain metastases: (A) breast cancer brain metastasis without lymphocytic infiltration at the peritumoral or intratumoral compartment, (B) renal cancer brain metastasis with severe lymphocytic infiltration at the peritumoral and intratumoral compartments, (C) breast cancer brain metastasis with mild lymphocytic infiltration at the peritumoral and intratumoral compartments, and (D) melanoma brain metastasis with moderate lymphocytic infiltration at the peritumoral and intratumoral compartments.

Pulmonary tumor compared with the corresponding brain metastasis showing concordant PD-L1 and CD8 expression: (A) primary tumor, (B) PD-L1 expression at the primary tumor, (C) CD8 expression at the primary tumor, (D) brain metastasis, (E) PD-L1 expression at the brain metastasis, and (F) CD8 expression at the brain metastasis. PD-L1, programmed death ligand 1. Illustration of CD8 lymphocytic scoring in brain metastases: (A) breast cancer brain metastasis without lymphocytic infiltration at the peritumoral or intratumoral compartment, (B) renal cancer brain metastasis with severe lymphocytic infiltration at the peritumoral and intratumoral compartments, (C) breast cancer brain metastasis with mild lymphocytic infiltration at the peritumoral and intratumoral compartments, and (D) melanoma brain metastasis with moderate lymphocytic infiltration at the peritumoral and intratumoral compartments.

Molecular analysis

Molecular analysis was performed for 93 cases (lung adenocarcinomas, melanomas, and gastrointestinal carcinomas), as previously described.10–12 Briefly, formalin-fixed paraffin-embedded tumor sections were used for DNA extraction (automated extraction: Qiacube kit used; Qiagen, Courtaboeuf, France). DNA concentration and quality were assessed by the Qubit method and a Nanodrop spectrophotometer (Thermo Fisher Scientific, Waltham, Massachusetts, USA). Mutational analysis was performed by next-generation sequencing (n=57) using the Ion Chef, the Torrent Personal Genome Machine, and the Colon and Lung Oncomine CE-IVD Panel (Thermo Fisher Scientific), as well as by SnaPshot (n=36; Applied Biosystems, Foster City, California, USA).

Statistical analysis

Data were analyzed using the StatView V.4.5 software (Abacus Concepts, Berkeley, California, USA). We used χ2 test to explore any relationship between two groups for categorical data, factorial analyses of variance (ANOVAs) to consider the effect of at least one factor on a continuous parameter studied, and simple regression analysis to explore a possible relationship between two continuous parameters. We also added Cramer’s V, a post hoc test, to all χ2 analyses where more than 2×2 subgroups existed, in order to determine strengths of association after χ2 test determined significance. Cramer’s value of ≥0.3 denotes a strong association. Survival probability was estimated by Kaplan-Meier analysis with log-rank product limit estimation. For all analyses, statistical significance was indicated at a p value of <0.05.

Results

Patient and tumor characteristics

The 233 patient cohort included 132 men (56.7%) and 101 women (43.3%) with an age range between 30 and 87 (median 61) years (table 1). Lung cancer was the most common cause of Bmets (34.8%), followed by breast cancer (13.3%), melanoma (12.0%), and gastrointestinal (12.0%) and renal (7.7%) tumors; while there were fewer ovarian (5.2%), head and neck (3.4%), endometrial (2.6%), thyroid (2.6%), bladder (2.6%), prostatic (2.1%), and unknown primary (1.7%) tumors. Most cases were surgically resected Bmets (87.4%) and, in most of them (92.2%), a complete resection was achieved. In 83.6% of cases, an adjuvant treatment was administrated. In 44.5% of patients, this involved radiotherapy only; 50.8% received chemotherapy and 7% hormonotherapy, while 1.7% received immunotherapy. For 111 cases, the material of the primary tumor was available and could be studied. The median period between the diagnosis of the primary tumor and the appearance of Bmets was 32 months, and the median overall survival after Bmet diagnosis was 13 months (online supplementary figure S1).
Table 1

Patient and tumor characteristics

n (%)
Sex (n=233)
 Female101 (43.3)
 Male132 (56.7)
Age (n=233)
 Range30–87
 Median, mean (SD)61, 60.6 (±10.5)
Metastasis localization (n=215)
 Frontal66 (30.7)
 Cerebellar62 (28.8)
 Temporal29 (13.5)
 Parietal26 (12.1)
 Occipital26 (12.1)
 Meningeal4 (1.8)
 Thalamic2 (1)
Multiple cerebral metastases (n=216)
 Yes56 (25.9)
 No160 (74.1)
Symptomatic metastasis with corticosteroid treatment (n=205)
 Yes185 (90.2)
 No20 (9.8)
Performance status (n=206)
 0–1141 (68.5)
 2–465 (31.5)
Metastasis diagnosis in comparison to the primary tumor (n=228)
 Revealing79 (34.6)
 Metachronous149 (65.4)
Metastasis size (in mm, n=113)
 Range6–70
 Median, mean (SD)30, 31.9 (±13.4)
Metastasis size (in mm, n=113)
 ≥3053 (46.9)
 <3060 (53.1)
Primary tumor origin (n=233)
 Lung81 (34.8)
 Breast31 (13.3)
 GI tract28 (12)
 Melanoma28 (12)
 Kidney18 (7.7)
 Ovary12 (5.2)
 Head and neck8 (3.4)
 Endometrium6 (2.6)
 Thyroid gland6 (2.6)
 Bladder6 (2.6)
 Prostate5 (2.1)
 Unknown4 (1.7)
Primary tumor histological type (n=233)
 Adenocarcinoma108 (46.4)
 Undifferentiated carcinoma37 (10.3)
 Melanoma28 (12)
 Squamous cell carcinoma24 (10.3)
 Clear cell carcinoma19 (8.2)
 High-grade serous carcinoma11 (4.7)
 Large-cell neuroendocrine carcinoma4 (1.7)
 Urothelial carcinoma2 (0.9)
Cohort’s molecular characteristics*
 Lung tumors
EGFR mutated (n=35)2 (5.7)
KRAS mutated (n=28)10 (36)
 ALK expression positive (n=20)0
BRAF mutated (n=18)0
Breast tumors (n=27)
 Hormone receptors positive13 (46.4)
 HER2 positive14 (48.3)
 GI tumors (n=20)
KRAS mutated11 (55)
 Melanoma (n=9)
BRAF mutated4 (44.4)
 Type of primary tumor material (n=111)
 Biopsy41 (37)
 Resection70 (63)
T stage of primary tumor at initial diagnosis (n=86)
 Early (T1, T2)43 (50)
 Advanced (T3, T4)43 (50)
N stage of primary tumor at initial diagnosis (n=98)
 Negative42 (42.9)
 Positive56 (57.1)
 M stage of primary tumor at initial diagnosis (n=103)
 Negative62 (60.2)
 Positive41 (39.8)
Metastasis material type (n=223)
 Biopsy28, (12.6)
 Resection195, (87.4)
Complete resection of brain metastasis (n=192)
 Yes177 (92.2)
 No15 (7.8)
Adjuvant treatment after metastatectomy (n=207)
 Yes173 (83.6)
 No34 (16.4)
Radiotherapy only as adjuvant treatment (n=207)
 Yes77 (37.2)
 No130 (62.8)
 Median brain metastasis-free survival (in months, n=111)32 
 Median survival after brain metastasis diagnosis (in months, n=220)13 
Status (n=220)
 Dead174 (79.1)
 Alive46 (20.9)

n denotes the number of cases from which the information was available.

*n=cases where the molecular biology was performed; missing cases correspond to poor DNA quality or quantity.

GI, gastrointestinal; HER2, human epidermal growth factor receptor 2.

Patient and tumor characteristics n denotes the number of cases from which the information was available. *n=cases where the molecular biology was performed; missing cases correspond to poor DNA quality or quantity. GI, gastrointestinal; HER2, human epidermal growth factor receptor 2.

Immunohistochemical analysis and correlation with clinical and histological factors

PD-L1 expression was found in 23.6% of Bmets and in 29.0% of primary tumors with a concordant expression (cut-off of 1%) between them in 75.5% of cases (table 2). More specifically, 12 cases (11.3%) showed primary but not metastatic tumor PD-L1 expression; 14 cases (13.2%) showed metastatic but not primary tumor PD-L1 expression; 19 cases (18%) showed PD-L1 expression in both the primary tumor and the BM; and, finally, 61 cases (57.5%) did not show PD-L1 expression in neither primary tumor nor BM (online supplementary figure S2). PD-L1 positivity of the primary tumor (counted as percentage) was directly associated with the positivity of the metastatic focus in a simple regression analysis (p=0.0002, online supplementary figure S3). More specifically, 59.6% of patients showed the same percentage of tumor cell expression between the two tumor compartments, while 18.3% showed higher expression in the Bmets and 22.1% showed lower expression in the Bmets. Significant CD8 peritumoral expression was found in 68.6% of Bmets and in 87.7% of primary tumors, while intratumoral CD8 expression was found in 43.8% of Bmets and in 61.5% of primary tumors. CD8 expression was concordant between primary and metastatic tumors in 73.3% and 47.8% of cases for peritumoral and intratumoral expression, respectively. Bmets CD8 lymphocytic response was directly associated with primary tumor CD8 response (p=0.01). When seen by percentage, CD8 expression was similar between primary and metastatic tumors in 41% of cases, lower in the metastatic tumor in 47.6% of cases, and higher in the metastatic tumor in 11.4% of cases. PD-L1 expression was associated with CD8 expression in both primary (p=0.0003 for intratumoral and 0.07 for peritumoral CD8 expression) and metastatic (p<0.0001 for intratumoral and peritumoral expression) tumors, as most PD-L1 expressing tumors were those with intense lymphocytic response (table 3).
Table 2

Immunohistochemical study

Variablen (%)
PD-L1 expression by the metastasis (n=229)
 Yes54 (23.6%)
 No175 (76.4%)
PD-L1 expression by the metastasis for positive cases (n=54)
 Range1–100
 Median, mean (SD)3, 12.3±22.4
Peritumoral CD8 expression by the metastasis (n=223)
 No/mild70 (31.4%)
 Moderate/severe153 (68.6%)
Intratumoral CD8 expression by the metastasis (n=219)
 No/mild123 (56.2%)
 Moderate/severe96 (43.8%)
PD-L1 expression by the primary tumor (n=107)
 Yes31 (29%)
 No76 (71%)
PD-L1 expression by the primary tumor for positive cases (n=31)
 Range1–100
 Median, mean (SD)17.5, 26.5±30.1
Peritumoral CD8 expression by the primary tumor (n=106)
 No/mild13 (12.3%)
 Moderate/severe93 (87.7%)
Intratumoral CD8 expression by the primary tumor (n=96)
 No/mild37 (38.5%)
 Moderate/severe59 (61.5%)
Concordant PD-L1 expression between paired primary tumor and metastases (n=106)
 Yes80 (75.5%)
 No26 (24.5%)
Concordant peritumoral CD8 expression between paired primary tumor and metastases (n=101)
 Yes74 (73.3%)
 No27 (26.7%)
Concordant intratumoral CD8 expression between paired primary tumor and metastases (n=92)
 Yes44 (47.8%)
 No48 (52.2%)

n denotes the number of cases from which the information was available.

PD-L1, programmed death ligand 1.

Table 3

Correlation between PD-L1 and CD8 expression

PD-L1 brain metastasis expression
NoYesP value
CD8 peritumoral brain metastasis expression
 Low654<0.0001
 High10449
CD8 intratumoral brain metastasis expression
 Low11013<0.0001
 High5540
PD-L1 primary tumor expression
 Yes1219<0.0001
 No6114
PD-L1 primary tumor expression
NoYesP value
CD8 peritumoral primary tumor expression
 Low1210.0719
 High6229
CD8 intratumoral primary tumor expression
 Low3430.0003
 High3425

PD-L1, programmed death ligand 1.

Immunohistochemical study n denotes the number of cases from which the information was available. PD-L1, programmed death ligand 1. Correlation between PD-L1 and CD8 expression PD-L1, programmed death ligand 1. The concordance between primary and metastatic tumor PD-L1 expressions was independent of the tumor origin (p=0.4) and of the time to metastasis development for all tumors (p=0.5) and separately for pulmonary (p=0.8), breast (p=0.8), gastrointestinal (p=0.2), and renal (p=0.2) tumors, as well as melanomas (p=0.9). It was also independent of sex (p=0.1), age (p=0.8), type of material (p=0.7), metastasis location (p=0.7), metastases multiplicity (p=0.6), of BM revealing (synchronous) the primary tumor (p=0.3), BM size (p=0.2), corticosteroid treatment (p=0.7), the T (p=0.7) and N (p=0.07) stages of the primary tumor, and its histology (p=0.3). The concordance between primary and metastatic peritumoral CD8 expressions was independent of the tumor origin (p=0.08). It was marginally associated with the time of BM development, as BM with discordant CD8 expression presented 7 months later (p=0.05, online supplementary figure S1). Regarding concordant intratumoral CD8 expression, there was no association with the time to metastasis for all tumors (p=0.9) or separately for different tumor types. Concordance for CD8 expression was independent of age (p=0.4), sex (p=0.9), type of material (p=0.4), metastasis location (p=0.1), metastases multiplicity (p=0.2), of metastases revealing the primary tumor (p=0.3), corticosteroid treatment (p=0.9), BM size (p=0.2), and the T (p=0.7) and N (p=0.6) stages of the primary tumor. BM PD-L1 expression (online supplementary table S1) was associated with the primary tumor origin (p=0.04), with pulmonary, renal, and ovarian tumors, as well as melanomas being the most often positive tumors, while it was independent of other characteristics such as age (p=0.9), sex (p=0.2), BM location (p=0.4), multiplicity (p=0.5) or size (p=0.4), as well as the time to metastasis development (p=0.3), PS (p=0.1), or initial tumour, node, metastasis (TNM) stage. BM PD-L1 expression was independent of the material (biopsy or resection) used (p=0.1). It was also independent of the corticosteroid treatment (p=0.1). For pulmonary primaries, PD-L1 Bmets positivity was not associated with EGFR mutation (p=0.4) or KRAS mutation (p=0.1). For mammary tumors, it was not associated with hormone receptor positivity (p=0.3) but was associated with HER2 overexpression, as PD-L1 positive Bmets were associated with HER2 negativity (p=0.03). For gastrointestinal tumors, PD-L1 Bmets expression was not associated with KRAS mutation (p=0.2). For melanomas, PD-L1 Bmets expression was not associated with BRAF mutation (p=0.1). CD8 Bmets expression was associated with the primary tumor origin (p=0.0002 for peritumoral expression and 0.008 for intratumoral) and histology (p=0.007), with lung and renal tumors, melanoma, and squamous cell carcinoma being mostly infiltrated by CD8+ lymphocytes. Peritumoral CD8 expression at the metastatic focus was associated with the type of material, as it was more often found in resection specimens (p=0.004). CD8 lymphocytic response in BM was not associated with any other factor, including the corticosteroid treatment (p=0.2). For pulmonary primaries, CD8 Bmets positivity was not associated with EGFR mutation (p=0.3) or KRAS mutation (p=0.2). For mammary tumors, CD8 Bmets expression was not associated with hormone receptor positivity (p=0.09) or HER2 overexpression (p=0.4). For gastrointestinal tumors, CD8 Bmets expression was not associated with KRAS mutation (p=0.1). For melanomas, CD8 Bmets expression was not associated with BRAF mutation (p=0.4). Primary tumor PD-L1 expression was not associated with any of the factors studied (online supplementary table S2). CD8 expression at the primary tumor was associated with the BM location, with parietal tumors arising from primaries heavily infiltrated by CD8 lymphocytes, while occipital BM from primaries were less infiltrated by CD8 cells (p=0.02). Furthermore, richer CD8 infiltration at the primary tumor was associated with single BM (p=0.04). Primary tumors revealed by the BM (revealing metastases) were less infiltrated by CD8 cells (p=0.02). Furthermore, it was marginally associated (p=0.05) with N stage and sex. When analyzing the various clinical and histological factors, a correlation was found between BM location and the primary tumor's origin (p=0.0003), as lung primaries affected all locations almost equally; gastrointestinal, ovarian, and breast tumors led mostly to cerebellar metastases, while melanoma predominantly led to frontal Bmets. However, it is worth reiterating that the cases studied are only cases that have been operated on; thus, these results should be evaluated with caution.

Survival analysis

Patient survival after BM diagnosis was associated (online supplementary figure S4) with the PS (p<0.0001), the age of the patient (p=0.03), and the administration of adjuvant therapy (p=0.002). It was not associated with the different types of adjuvant treatments. It was also correlated with the primary tumor's origin (p=0.03) and marginally (p=0.05) with the tumor histology. It was not associated with the rest of the factors studied (table 4 and figure 3).
Table 4

Analysis of survival after brain metastasis diagnosis

Survival (months)P value
PD-L1 brain-metastasis expression
 Yes200.9
 No19
CD8 peritumoral brain metastasis expression
 Low210.3
 High18
CD8 intratumoral brain metastasis expression
 Low190.4
 High18
CD8 brain metastasis and primary tumor expression association
 Similarly high in the two compartments120.7
 Similarly low in the two compartments14
 Higher in the brain metastasis than the primary tumor21
 Lower in the brain metastasis than the primary tumor19
Primary tumor origin
 Lung140.03
 Breast29
 Melanoma7
 GI11
 Renal22
 Ovary13
 Head neck13
Age at brain metastasis diagnosis (years)
 >60 120.03
 ≤60 18
Sex
 Female190.05
 Male13
Histological type
 Adenocarcinoma190.05
 Squamous cell carcinoma13
 Clear cell carcinoma22
 Melanoma7
 Undifferentiated11
 Large-cell neuroendocrine carcinoma15
 High-grade serous carcinoma10
 Urothelial carcinoma23
Cohort’s molecular characteristics
 Lung tumors
EGFR mutated330.3
EGFR non mutated21
KRAS mutated250.7
KRAS non mutated21
Breast tumors
 Hormone receptors positive260.4
 Hormone receptors negative25
 HER2 positive340.03
 HER2 negative20
GI tumors
KRAS mutated110.1
KRAS non mutated13
Melanoma
BRAF mutated220.08
BRAF non mutated6
Performance status
 0–121<0.0001
 2–45
Symptomatic Bmets requiring corticosteroid treatment
 Yes130.4
 No16
Metastases revealing the primary tumor
 Yes120.7
 No13
Multiples Bmets
 Yes100.2
 No14
Size of brain metastasis (mm)
 ≤30120.5
 >30 11
Bmets location
 Frontal130.3
 Cerebellar11
 Occipital21
 Parietal16
 Temporal13
T stage of the primary tumor
 1–2200.4
 3–411
N stage of the primary tumor
 N−130.6
 N+17
M stage of the primary tumor
 M0170.2
 M112
Adjuvant treatment after metastatectomy
 Yes170.002
 No5
Resection of the primary tumor
 Yes160.4
 No9
Complete resection of brain metastasis
 Yes140.8
 No13

Bmets, brain metastases; GI, gastrointestinal; HER2, human epidermal growth factor receptor 2; PD-L1, programmed death ligand 1.

Figure 3

Overall survival after brain metastasis diagnosis according to (A) PD-L1 BM expression, (B) CD8 peritumoral BM expression, and (C) CD8 intratumoral BM expression. Overall survival after primary tumor diagnosis, according to (D) PT PD-L1 expression, (E) PT CD8 peritumoral expression, and (F) PT CD8 intratumoral expression. Low CD8=groups 0 and 1 (<10% CD8 expression), high CD8 expression=groups 2 and 3 (≥40% CD8 expression), PD-L1 positive: ≥1%. BM, brain metastasis; PD-L1, programmed death ligand 1; PT, primary tumor.

Overall survival after brain metastasis diagnosis according to (A) PD-L1 BM expression, (B) CD8 peritumoral BM expression, and (C) CD8 intratumoral BM expression. Overall survival after primary tumor diagnosis, according to (D) PT PD-L1 expression, (E) PT CD8 peritumoral expression, and (F) PT CD8 intratumoral expression. Low CD8=groups 0 and 1 (<10% CD8 expression), high CD8 expression=groups 2 and 3 (≥40% CD8 expression), PD-L1 positive: ≥1%. BM, brain metastasis; PD-L1, programmed death ligand 1; PT, primary tumor. Analysis of survival after brain metastasis diagnosis Bmets, brain metastases; GI, gastrointestinal; HER2, human epidermal growth factor receptor 2; PD-L1, programmed death ligand 1. A survival analysis separately performed for the different tumor types showed that, for lung cancer BM, better prognosis (p=0.02) was seen with adenocarcinoma (20 months’ median survival), as compared with squamous cell carcinoma (13 months) or undifferentiated carcinoma (9 months); BM smaller size (p=0.02) and BM location (p=0.006) in patients with cerebellar metastases showed a median survival of 8 months, with frontal, temporal, parietal, and occipital metastases yielding survivals of 13, 16, 18, and 20 months, respectively. CD8 BM intratumoral expression was marginally associated with better prognosis (p=0.07) for lung cancer BM. The possibility of resection of the BM also retained its prognostic significance for different tumor types (lung tumors p=0.009, 5 vs 14 months; melanoma p=0.04, 7 vs 13 months; and renal p=0.003, 3 vs 23 months). No differences were noted for the rest of the factors studied. Bmets-free survival after the diagnosis of the primary tumor (online supplementary table S3) was associated with the primary tumor origin (p<0.0001), where breast carcinomas and melanomas gave the latest metastases; the sex, reflecting breast tumors (multiple ANOVAs); and, as earlier mentioned, with the concordance of CD8 expression. It was not associated with other factor studies. No further correlations were found when analyzing by tumor groups.

Discussion

We found that the brain metastasis PD-L1 expression is dependent on the primary tumor's characteristics—namely, the type of the primary tumor and its PD-L1 status—while being independent of all other metastasis characteristics, such as multiplicity, size, location, and time to metastasis, or other primary tumor characteristics such as initial TNM stage or patient age, sex, and PS. This has important clinical consequences, as the primary tumor's PD-L1 status can be predictive of the corresponding brain metastasis PD-L1 status with no need for further histological material in 75% of cases. The discordance in 25% of the cases was not associated with any tumor or patient characteristics; thus, it seems to be an intrinsic feature of some tumors, with no factors predictive of this discordance. A similar percentage of tumors showed concordant peritumoral CD8 expression. Discordant cases were seen when Bmets were sampled later than the concordant cases, while no other factors were associated with discordance in CD8 expression. Bmets CD8 expression was dependent on primary tumor type and its CD8 infiltration, while being independent of other characteristics. Furthermore, our results of almost 25% BM PD-L1 expression and 70% BM CD8 expression highlight that an important part of Bmets could be amenable to immunomodulatory treatments. Among the factors proposed to predict the sensitivity to immunotherapy (ie, the ‘cancer immunogram’) are the infiltration of the tumor by T cells and the presence of immunotherapy targets such as PD-L1,13 which, as we show here, are indeed present in an important part of Bmets. Few previous studies exist which have investigated the immune microenvironment of Bmets; they were in line with our results, showing an overall PD-L1 expression in 30% of Bmets.7 Separately for breast cancer14 and melanoma Bmets,8 the expression reached 50% in the cases. Interestingly, we showed that higher CD8 expression was associated with higher PD-L1 expression, not only for the primary but also for the metastatic focus, showing that, even in the brain metastasis micro-environment, an important lymphocytic reaction still exists, which provokes tumor cells to express the PD-L1 factor. In contrast, a previous study did not show any association between PD-L1 expression and lymphocytic infiltration in Bmets.7 As for the types of Bmets that provoke the most intense lymphocytic response, Harter et al,15 in a study using tissue microarrays—a technique that could pose some difficulties due to intratumoral heterogeneity—showed that infiltration by immune cells was higher for renal cell carcinoma BM, followed by melanoma BM, while breast and lung tumor BM showed poor immune response; another study7 showed higher infiltration for melanoma BM, followed by renal and lung cancer BM. Our results confirm the results of the latter study. Regarding the comparison of the immune status between paired primary tumors and Bmets, very few studies exist. In a study of 74 lung cancer cases,16 there was a concordance in 86% of cases for PD-L1 expression; the discordance found in 10 cases was not statistically correlated with any particular factor, such as the time between the diagnosis of the primary and the metastatic tumor, even if most paired lesions with discordant PD-L1 expression were seen with specimens obtained six or more months apart. On the contrary, a study17 of 25 patients with paired primary and BM lung cancers found a 72% concordance in PD-L1 expression; discordance was mostly seen with synchronous rather than metachronous lesions. This is rather surprising and was not confirmed by the current series; it could be due to the limited number of cases in the aforementioned study. Interestingly, Goldberg et al treated lung cancer and melanoma brain metastatic patients with pembrolizumab.6 Their study included only patients with small asymptomatic metastases, such that its safety and efficacy in larger or symptomatic Bmets remain unknown.6 They found a high concordance between systemic and brain metastasis responses, which were also durable. Our results were consistent with these findings, showing a similar immunohistochemical profile between primary and metastatic foci regarding PD-L1 and CD8 (in most cases). We also showed that metastasis size, symptomatology, and PS were not associated with BM PD-L1 expression, nor did CD8 infiltration. Regarding the prognostic role of PD-L1 and CD8 expressions in BM, we did not find any statistically significant association with survival in the whole group, nor in the separate analysis of different tumor groups. We did find, however, a marginal association of CD8 intratumoral BM expression with better survival in lung cancer BM. No prognostic significance was found by Harter et al,15 while another group7⁠ showed that CD8+ lymphocytes in BM were a favorable prognostic factor. Among all other factors studied, the PS, the age at BM diagnosis, the primary tumor type, and the use of treatment additional to the surgery were important prognostic factors. Separately for lung cancer Bmets, brain metastasis size, its location, and the possibility of resection of the BM were also prognostic factors. Furthermore, for this tumor group, histological type was significantly associated with survival, as patients diagnosed with adenocarcinomas had better survival after BM diagnosis. In a previous study, we showed that even grading of lung adenocarcinoma Bmets has an important prognostic impact.12 Furthermore, we found important correlations between the primary tumor's infiltration by CD8-positive lymphocytes and brain metastasis characteristics. Specifically, primary tumors less infiltrated by CD8 cells gave multiple BM most often, as well as metastases that reveal the primary tumor and occipital metastases. However, the number of cases was limited for this latter correlation, so the results should be interpreted with caution. Our study has certain limitations. First, it is a retrospective study. Another limitation when analyzing the immune microenvironment in brain tumors is whether prior corticosteroid treatment can affect its elements. Interestingly, it seems that corticosteroids do not affect the amount of lymphocyte or PD-L1 expression, as studied in melanoma Bmets7 8 and as we have shown in the current series. Another issue is the different clones and methods for PD-L1 immunohistochemical analysis; however, the clone that we used is one of the most commonly used in the various related studies. Furthermore, different cut-off values for PD-L1 have been used in the literature, but a cut-off of 1% (as presently used) is one of the most widely accepted. Similarly, reproducibility of all immunohistochemical interpretations in pathology poses some limitations; however, reproducibility in the current series was excellent for both antibodies. Another limitation is the various histological cancer types but, at the same time, ours was a large series, allowing for comparison between them. To conclude, this is the first large study comparing the immune microenvironment of various Bmets and their paired primaries. We have shown that PD-L1 expression of Bmets is concordant to that of the primary tumor in 75% of cases, with no factors being able to predict the discordance. CD8 expression is similarly concordant in most cases, with longer time to metastasis being the only factor predictive of discordance. Brain metastasis PD-L1 expression is dependent on primary tumor type, primary tumor PD-L1 expression, and brain metastasis CD8 infiltration. Brain metastasis CD8 infiltration depends on primary tumor type and primary tumor CD8 expression. Prognosis of Bmets is not associated with Bmets PD-L1 or CD8 expressions, while time to Bmets development is associated with the primary tumor type. Our findings show that Bmets may not be an immunoprivileged compartment, and studies exploring the efficacy of immunotherapy for this patient group could prove useful.
  17 in total

1.  Epidemiology of brain metastases.

Authors:  Lakshmi Nayak; Eudocia Quant Lee; Patrick Y Wen
Journal:  Curr Oncol Rep       Date:  2012-02       Impact factor: 5.075

Review 2.  Clinical trial design for systemic agents in patients with brain metastases from solid tumours: a guideline by the Response Assessment in Neuro-Oncology Brain Metastases working group.

Authors:  D Ross Camidge; Eudocia Q Lee; Nancy U Lin; Kim Margolin; Manmeet S Ahluwalia; Martin Bendszus; Susan M Chang; Janet Dancey; Elisabeth G E de Vries; Gordon J Harris; F Stephen Hodi; Andrew B Lassman; David R Macdonald; David M Peereboom; David Schiff; Ricardo Soffietti; Martin J van den Bent; Jeffrey S Wefel; Patrick Y Wen
Journal:  Lancet Oncol       Date:  2018-01       Impact factor: 41.316

3.  EGFR, KRAS, BRAF and HER2 testing in metastatic lung adenocarcinoma: Value of testing on samples with poor specimen adequacy and analysis of discrepancies.

Authors:  Fabien Forest; Marie-Laure Stachowicz; François Casteillo; Georgia Karpathiou; Fabienne Gouzy-Grosjean; Colette Guilaubey; Michèle Cottier; Julie Beal; Alix Clemenson; Michel Péoc'h
Journal:  Exp Mol Pathol       Date:  2017-11-22       Impact factor: 3.362

4.  Tumour-infiltrating lymphocytes and expression of programmed death ligand 1 (PD-L1) in melanoma brain metastases.

Authors:  Anna Sophie Berghoff; Gerda Ricken; Georg Widhalm; Orsolya Rajky; Karin Dieckmann; Peter Birner; Rupert Bartsch; Christoph Höller; Matthias Preusser
Journal:  Histopathology       Date:  2014-11-10       Impact factor: 5.087

5.  Programmed death ligand 1 expression and CD8+ tumor-infiltrating lymphocyte density differences between paired primary and brain metastatic lesions in non-small cell lung cancer.

Authors:  Jie Zhou; Zhihua Gong; Qingzhu Jia; Yan Wu; Zhen-Zhou Yang; Bo Zhu
Journal:  Biochem Biophys Res Commun       Date:  2018-03-17       Impact factor: 3.575

6.  Pembrolizumab for patients with melanoma or non-small-cell lung cancer and untreated brain metastases: early analysis of a non-randomised, open-label, phase 2 trial.

Authors:  Sarah B Goldberg; Scott N Gettinger; Amit Mahajan; Anne C Chiang; Roy S Herbst; Mario Sznol; Apostolos John Tsiouris; Justine Cohen; Alexander Vortmeyer; Lucia Jilaveanu; James Yu; Upendra Hegde; Stephanie Speaker; Matthew Madura; Amanda Ralabate; Angel Rivera; Elin Rowen; Heather Gerrish; Xiaopan Yao; Veronica Chiang; Harriet M Kluger
Journal:  Lancet Oncol       Date:  2016-06-03       Impact factor: 41.316

Review 7.  Updates in the management of brain metastases.

Authors:  Nils D Arvold; Eudocia Q Lee; Minesh P Mehta; Kim Margolin; Brian M Alexander; Nancy U Lin; Carey K Anders; Riccardo Soffietti; D Ross Camidge; Michael A Vogelbaum; Ian F Dunn; Patrick Y Wen
Journal:  Neuro Oncol       Date:  2016-08       Impact factor: 12.300

8.  Distribution and prognostic relevance of tumor-infiltrating lymphocytes (TILs) and PD-1/PD-L1 immune checkpoints in human brain metastases.

Authors:  Patrick N Harter; Simon Bernatz; Alexander Scholz; Pia S Zeiner; Jenny Zinke; Makoto Kiyose; Stella Blasel; Rudi Beschorner; Christian Senft; Benjamin Bender; Michael W Ronellenfitsch; Harriet Wikman; Markus Glatzel; Matthias Meinhardt; Tareq A Juratli; Joachim P Steinbach; Karl H Plate; Jörg Wischhusen; Benjamin Weide; Michel Mittelbronn
Journal:  Oncotarget       Date:  2015-12-01

9.  Immune response in breast cancer brain metastases and their microenvironment: the role of the PD-1/PD-L axis.

Authors:  Renata Duchnowska; Rafał Pęksa; Barbara Radecka; Tomasz Mandat; Tomasz Trojanowski; Bożena Jarosz; Bogumiła Czartoryska-Arłukowicz; Wojciech P Olszewski; Waldemar Och; Ewa Kalinka-Warzocha; Wojciech Kozłowski; Anna Kowalczyk; Sherene Loi; Wojciech Biernat; Jacek Jassem
Journal:  Breast Cancer Res       Date:  2016-04-27       Impact factor: 6.466

10.  Temporal and spatial discordance of programmed cell death-ligand 1 expression and lymphocyte tumor infiltration between paired primary lesions and brain metastases in lung cancer.

Authors:  A S Mansfield; M C Aubry; J C Moser; S M Harrington; R S Dronca; S S Park; H Dong
Journal:  Ann Oncol       Date:  2016-08-08       Impact factor: 32.976

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1.  An integrated biomarker of PD-L1 expression and intraepithelial CD8+ T cell infiltration was associated with the prognosis of lung cancer patients after intracranial resection of brain metastases.

Authors:  Lin-Lin Li; De-Xiang Zhou; Ming Lu; Dong Zhou; Xiao-Feng Lin; Yu Chen; Kai Yin; Hui-Bo Feng; Wei-Bang Guo; Zhi Xie; Wen-Qing Yan; Zhi-Yi Lv; Dan-Xia Lu; Shui-Lian Zhang; Xu-Chao Zhang
Journal:  Thorac Cancer       Date:  2022-05-20       Impact factor: 3.223

2.  Canonical NF-κB Promotes Lung Epithelial Cell Tumour Growth by Downregulating the Metastasis Suppressor CD82 and Enhancing Epithelial-to-Mesenchymal Cell Transition.

Authors:  Eugenia Roupakia; Evangelia Chavdoula; Georgia Karpathiou; Giannis Vatsellas; Dimitrios Chatzopoulos; Angeliki Mela; Jennifer M Gillette; Katharina Kriegsmann; Mark Kriegsmann; Anna Batistatou; Anna Goussia; Kenneth B Marcu; Emmanouil Karteris; Apostolos Klinakis; Evangelos Kolettas
Journal:  Cancers (Basel)       Date:  2021-08-26       Impact factor: 6.575

Review 3.  Systemic Therapy for Lung Cancer Brain Metastases.

Authors:  Alessia Pellerino; Francesco Bruno; Roberta Rudà; Riccardo Soffietti
Journal:  Curr Treat Options Oncol       Date:  2021-10-25

4.  Effectiveness of Immune Checkpoint Inhibition vs Chemotherapy in Combination With Radiation Therapy Among Patients With Non-Small Cell Lung Cancer and Brain Metastasis Undergoing Neurosurgical Resection.

Authors:  David Wasilewski; Josefine Radke; Ran Xu; Matthias Raspe; Anna Trelinska-Finger; Tizian Rosenstock; Paul Poeser; Elisa Schumann; Judith Lindner; Frank Heppner; David Kaul; Norbert Suttorp; Peter Vajkoczy; Nikolaj Frost; Julia Onken
Journal:  JAMA Netw Open       Date:  2022-04-01

5.  PD-L1 Expression in Chinese Patients with Advanced Non-Small Cell Lung Cancer (NSCLC): A Multi-Center Retrospective Observational Study.

Authors:  Xin Yang; Lili Jiang; Yan Jin; Peng Li; Yingyong Hou; Jingping Yun; Chunyan Wu; Wenyong Sun; Xiangshan Fan; Dong Kuang; Weiya Wang; Jinsong Ni; Anhua Mao; Wenmin Tang; Zhenhua Liu; Jiali Wang; Suijun Xiao; Yuan Li; Dongmei Lin
Journal:  J Cancer       Date:  2021-10-28       Impact factor: 4.207

6.  Impact of KRAS mutation status on the efficacy of immunotherapy in lung cancer brain metastases.

Authors:  Adam Lauko; Rupesh Kotecha; Addison Barnett; Hong Li; Vineeth Tatineni; Assad Ali; Pradnya Patil; Alireza M Mohammadi; Samuel T Chao; Erin S Murphy; Lilyana Angelov; John H Suh; Gene H Barnett; Nathan A Pennell; Manmeet S Ahluwalia
Journal:  Sci Rep       Date:  2021-09-13       Impact factor: 4.379

7.  Primary central nervous system lymphomas express immunohistochemical factors of autophagy.

Authors:  Georgia Karpathiou; Silvia-Maria Babiuc; Florian Camy; Elise Ferrand; Alexandra Papoudou-Bai; Jean Marc Dumollard; Jerome Cornillon; Michel Peoc'h
Journal:  Sci Rep       Date:  2021-11-15       Impact factor: 4.379

8.  Combined Consideration of Tumor-Associated Immune Cell Density and Immune Checkpoint Expression in the Peritumoral Microenvironment for Prognostic Stratification of Non-Small-Cell Lung Cancer Patients.

Authors:  Yong Yang; Xiaobao Yang; Yichao Wang; Jingsong Xu; Hanyu Shen; Hongquan Gou; Xiong Qin; Gening Jiang
Journal:  Front Immunol       Date:  2022-02-10       Impact factor: 7.561

Review 9.  Navigate Towards the Immunotherapy Era: Value of Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer Patients With Brain Metastases.

Authors:  Guanqun Yang; Ligang Xing; Xiaorong Sun
Journal:  Front Immunol       Date:  2022-03-29       Impact factor: 7.561

  9 in total

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