Literature DB >> 35695123

A comparative study of carbonic anhydrase activity in lymphocytes from colorectal cancer tissues and adjacent healthy counterparts.

Giulia Nannini1, Viviana De Luca2,3, Chiara D'Ambrosio3, Andrea Scaloni3, Antonio Taddei1, Maria Novella Ringressi1, Fabio Cianchi1, Fabio Staderini1, Clemente Capasso2, Amedeo Amedei1,4, Claudiu T Supuran5.   

Abstract

Several carbonic anhydrase (CA, EC 4.2.1.1) isoforms play an essential role in processes connected to tumorigenesis, as they efficiently accelerate the hydration of carbon dioxide to bicarbonate and proton. In this context, examples are CA IX and CA XII, which were proved to be upregulated in many solid malignancies. On the other hand, cancer and the immune system are inextricably linked, and targeting the immune checkpoints recently was shown to efficiently improve the treatment of malignancies. In this study, we have investigated the expression of CA isoforms in tumour-infiltrating lymphocytes (TILs) that, according to the immunosurveillance theory, were suggested to have a crucial role in the development of colorectal cancer (CRC). T lymphocytes isolated from healthy surrounding mucosa showed a higher CA activity compared to those present in tumour and peripheral blood in the same patients. CA I and II were confirmed as enzyme isoforms involved in the process, as determined by proteomic analysis of corresponding TIL samples. These preliminary findings suggest a dysregulation of the local immune response in the CRC tissues and a loss of effective anticancer mechanisms mediated by CAs therein.

Entities:  

Keywords:  Carbonic anhydrase; T cells; colorectal cancer; isoforms; tumour-infiltrating lymphocyte

Mesh:

Substances:

Year:  2022        PMID: 35695123      PMCID: PMC9225793          DOI: 10.1080/14756366.2022.2085694

Source DB:  PubMed          Journal:  J Enzyme Inhib Med Chem        ISSN: 1475-6366            Impact factor:   5.756


Introduction

Colorectal cancer (CRC) is the world’s third most frequent malignancy and the second most deadly. Twenty-five percent of newly diagnosed patients have metastatic disease, and 40% will develop metastases within a year. Currently, the most popular conventional treatments for CRC include surgery, chemotherapy, and radiotherapy, which can be used in combination depending on the location and progression of cancer. Targeting the immune system is one of the approaches that has revolutionised cancer treatment in the previous few decades. In detail, immunotherapy tries to overcome the limitations of chemotherapy and radiotherapy by focussing on the immune system of the patient. Immune checkpoint inhibitors (ICIs) for programmed death receptor (PD-1) blockade have been approved for the CRC treatment with deficient mismatch repair (dMMR) or high microsatellite instability (MSI-H),. For patients with proficient mismatch repair or microsatellite stability, however, immunotherapy using the anti-PD-1 monoclonal antibody did not have the expected impact. Despite the fact that ICIs have just recently been used in MSI-H/dMMR CRC patients, resistance to treatment has already been described. It is well known that solid tumours are characterised by the hypoxic microenvironment, extracellular acidosis, and chemoresistance. In nutrient-limited situations, tumour cells modify their metabolism by shifting the balance of energy production away from oxidative metabolism and towards a more glycolytic source. The accumulation of lactic acid and carbon dioxide (CO2) caused by glycolytic metabolism contributes to a drop in extracellular pH. In order to survive, tumour cells must adapt to these settings, and several carbonic anhydrases (CAs, EC 4.2.1.1) play an essential role in this process since they accelerate the hydration of CO2 into bicarbonate (HCO3–) and proton (H+), a reaction essential to all living organisms. Up to date, the CA superfamily is divided into eight CA classes, denoted by the Greek letters α, β, γ, δ, ζ, η, θ, and ι,. CA classes are spread out in a variegated way in plants, animals, bacteria, and archaea. The genome of mammals, for example, only contains α-CAs, with 15 different isoforms (CA I-XV) that perform various tasks in different tissues and organs. Recent studies suggest that some CA isoforms, namely CA IX and CA XII, are upregulated in several solid malignancies,. For example, CA IX is found in only a few normal tissues, with almost complete exclusivity in the epithelium of the gastrointestinal tract,; on the other hand, this protein is expressed ectopically in a range of cancer tissues,, among which CRC,. By using CA II-deficient mice, a strong relationship between cellular control of acid-base balance and innate renal defence was discovered. This finding may corroborate the existence of a possible link between CA II dysregulation and the immune system in cancer. Despite this evidence, none investigated the expression of CAs in tumour-infiltrating lymphocytes (TILs) that, according to the immunosurveillance theory, were suggested to have a crucial role in developing tumours, as we have previously documented in human CRC,. In addition, growing evidence suggests that tumour mutation burden and TILs are linked to ICI response. For these reasons, the aim of this preliminary study was to investigate the expression of CAs in TILs obtained from patients with CRC.

Materials and methods

Patients

The patients included in the study (P1-P18) and their clinico-pathological features are shown in Table 1.
Table 1.

Clinical characteristics of CRC patients.

Patient IDSexAgeDiagnosisTNMStage
P1M71Adenocarcinoma
P2M62AdenocarcinomapT1a N0I
P3F78AdenocarcinomapT3 N0IIa
P4F83AdenocarcinomaT3N02a
P5M78AdenocarcinomapT3 N1bIIIb
P6M58AdenocarcinomapT3, pN1bIIIb
P7M62AdenocarcinomapT3 N0IIa
P8M77AdenocarcinomapT3 N0 M1IVa
P9F53AdenocarcinomapT1 N0I
P10M85AdenocarcinomapT3 N1bIIIb
P11F85AdenocarcinomaT3N02a
P12M58AdenocarcinomapT3, pN1bIIIb
P13M84AdenocarcinomapT2 N0I
P14M74AdenocarcinomapT3 N0IIa
P15F Adenocarcinoma
P16F84AdenocarcinomapT2 N1aIIIa
P17F57AdenocarcinomapT3 N0IIa
P18F60AdenocarcinomapT3, pN0IIa

–, not detected.

Clinical characteristics of CRC patients. –, not detected.

Isolation of lymphocytes

Surgical specimens of CRC tissue were dissociated in order to isolate TILs. Tissue pieces from each patient were obtained from two different sites, namely central tumour (CT) and adjacent healthy mucosa (HM). Tissue samples were dissociated with the Tumour Dissociation Kit, human (Miltenyi Biotech, UK) in combination with the gentleMACS™ Octo Dissociator (Miltenyi Biotech, GmbH) to obtain a gentle and rapid generation of single-cell suspensions. In parallel, heparinised venous blood samples were collected and peripheral blood (PBMC) samples were isolated by density gradient centrifugation. Then, lymphocytes were magnetically isolated from dissociated CT, HM and PBMC samples with antihuman CD3 microbeads (Miltenyi Biotech, UK) using an AutoMACS Pro Separator device (Miltenyi Biotech, GmbH).

Protonography

An identical amount of lymphocyte proteins isolated from CT, HM, and PBMC samples from patients P1-P18 were mixed in a loading buffer for SDS-PAGE not containing 2-mercaptoethanol, and they were not boiled to avoid protein denaturation. Protein electrophoresis was performed as described by De Luca et al.. After, the gel was subjected to protonography to detect the hydratase activity. A parallel SDS-PAGE gel was run simultaneously in the same electrophoretic chamber. This gel was not used for investigating the hydratase activity, but for protein identification purposes; thus, it was stained with colloidal Coomassie blue.

Proteomic analysis

Gel slices associated with CA activity in the protonogram were manually excised from the colloidal Coomassie blue-stained gel, minced, and washed with water. Corresponding proteins were in-gel reduced, S-alkylated with iodoacetamide and digested with trypsin, as previously reported. Individual protein digests were then analysed with a nanoLC-ESI-Q-Orbitrap-MS/MS platform consisting of an UltiMate 3000 HPLC RSLC nanosystem (Thermo Fisher Scientific, USA) coupled to a Q-ExactivePlus mass spectrometer through a Nanoflex ion source (Thermo Fisher Scientific). Peptides were loaded on an Acclaim PepMapTM RSLC C18 column (150 mm × 75 μm ID, 2 μm particles, 100 Å pore size; Thermo Fisher Scientific), and eluted with a gradient of solvent B (19.92/80/0.08 v/v/v water/acetonitrile/formic acid) in solvent A (99.9/0.1 v/v water/formic acid), at a flow rate of 300 nl/min. The gradient of solvent B started at 3%, increased to 40% over 40 min, raised to 80% over 5 min, remained at 80% for 4 min, and finally returned to 3% in 1 min, with a column equilibrating step of 30 min before the subsequent chromatographic run. The mass spectrometer operated in data-dependent mode using a full scan (m/z range 375–1500, a nominal resolution of 70,000, an automatic gain control target of 3,000,000, and a maximum ion target of 50 ms), followed by MS/MS scans of the 10 most abundant ions. MS/MS spectra were acquired in a scan m/z range 200–2000, using normalised collision energy of 32%, an automatic gain control target of 100,000, a maximum ion target of 100 ms, and a resolution of 17,500. A dynamic exclusion value of 30 s was also used. Duplicate analysis of each sample was performed to increase the number of identified peptides/protein coverage. MS and MS/MS raw data files per sample were merged for protein identification into Proteome Discoverer v. 2.4 software (Thermo Scientific), enabling the database search by Mascot algorithm v. 2.6.1 (Matrix Science, UK) with the following parameters: UniProtKB human protein database (11/2020, 214889 sequences) including the most common protein contaminants; carbamidomethylation of Cys as fixed modification; oxidation of Met, deamidation of Asn and Gln, and pyroglutamate formation of Gln as variable modifications. Peptide mass tolerance and fragment mass tolerance were set to ± 10 ppm and ± 0.05 Da, respectively. Proteolytic enzyme and maximum number of missed cleavages were set to trypsin and 2, respectively. Protein candidates assigned on the basis of at least one sequenced peptides with Mascot score ≥30 were considered confidently identified. Definitive peptide assignment was always associated with manual spectra visualisation and verification.

Results and discussion

CA activity and isoform detection in lymphocytes

CA activity

A cohort of 18 patients (10 males and 8 females) with intestinal adenocarcinoma was included in this study (Table 1). Colorectal tumour tissues and healthy mucosal tissues were collected during surgery and analysed by pathologists to determine TNM (tumour, nodes, and metastases) stage. In parallel, heparinised venous blood samples were collected from patients and peripheral blood (PBMC) samples were isolated. Then, lymphocytes were isolated from the above-mentioned CT and HM tissues as well as PBMC samples to investigate corresponding hydratase activity and identify CA isoforms possibly responsible for it. First, the CO2 hydratase activity in lymphocytes was investigated with protonography, a technique developed by our group. It allows the measurement of pH change in the gel (protonogram) caused by the catalytic conversion of CO2 into HCO3– and H+. The pH indicator bromothymol blue was used to stain the protonogram. This dye appears blue when deprotonated but becomes yellow when protonated. The generation of hydrogen ions by the enzyme hydratase activity lowers the pH value of the solution until the dye colour transition point is reached (pH 6.8). Figure 1 shows an exemplificative protonogram obtained with lymphocyte samples collected from CT and HM as well as PBMCs of patient P1; identical amounts of lymphocytes were analysed in each protonogram. Very similar results were obtained in the case of the other patients, which always showed a similar staining pattern (data not shown). The gel portion of the gel coloured in yellow corresponded to the region where the protein(s) responsible for the hydratase activity migrated during electrophoresis. A parallel gel running different amounts of commercial bovine CA was used to successfully evaluate the linearity of the staining intensity with respect to the loaded protein.
Figure 1.

Protonography of whole lymphocyte extracts prepared from tumour and adjacent healthy tissues as well as from peripheral blood of a patient with intestinal adenocarcinoma included in this study. The gel was run under denaturing but non-reducing conditions. Protonography showed a yellow band migrating with a rough molecular mass of about 26 kDa, which corresponds to the hydratase activity. Legend: Lane Std, molecular markers (from bottom to the top: 25 kDa, 37 kDa, 50 kDa, and others); lane 1, commercial bovine CA used as positive control; lane 2, lymphocyte collected from the tumour tissue; lane 3, lymphocyte collected from adjacent healthy tissues; lane 4, lymphocyte collected by PBMCs.

Protonography of whole lymphocyte extracts prepared from tumour and adjacent healthy tissues as well as from peripheral blood of a patient with intestinal adenocarcinoma included in this study. The gel was run under denaturing but non-reducing conditions. Protonography showed a yellow band migrating with a rough molecular mass of about 26 kDa, which corresponds to the hydratase activity. Legend: Lane Std, molecular markers (from bottom to the top: 25 kDa, 37 kDa, 50 kDa, and others); lane 1, commercial bovine CA used as positive control; lane 2, lymphocyte collected from the tumour tissue; lane 3, lymphocyte collected from adjacent healthy tissues; lane 4, lymphocyte collected by PBMCs. Lymphocyte protonograms were analysed using image processing technologies to evaluate the relative representation of the hydratase activity in the different samples. In the case of patient P1, densitometric quantification revealed that lymphocytes of the vicinal healthy tissues had a hydratase activity that was about 3.1- and 17.1-fold higher than that of CT and PBMC counterparts, respectively. Accordingly, the hydratase activity of the lymphocytes coming from CT was about 5.5 times higher than that of PBMC. Very similar results were obtained in the case of the other patients, thus demonstrating that lymphocytes of HM samples had an overall average hydratase activity that was about 3.0 ± 0.5 and 17.0 ± 1.1 fold higher than that of CT and PBMC counterparts, respectively. Based on these results, we hypothesised that the fine-tuning of CO2, HCO3–, and H+ in the lymphocytes from tumoral tissues and PBMCs might be affected with respect to counterparts from healthy tissues. This observation was in good agreement with previous literature data reporting that systemic acidosis may impair immune function. Thus, cancer-associated inflammation may contribute to genomic instability, epigenetic change, cancer cell proliferation, an increase in antiapoptotic pathways, angiogenesis, and ultimately cancer propagation,.

Proteomic analysis of gel portions associated with CA activity

In order to identify the protein(s) present in the electrophoretic bands associated with the hydratase activity measured in the protonogram of lymphocytes from TC and vicinal HM as well as from PBMCs, corresponding gel portions were cut from the gels and subjected to proteomic analysis, as described in the experimental section. Experiments were performed in parallel on bands showing positive staining in the protonogram of lymphocytes from patient P1. In both cases, several protein components were identified in the different samples, among which some carbonic anhydrase isoforms, here considered responsible for the observed enzymatic activity based on corresponding biochemical characteristics. Supplementary Table S1 summarises the proteomic results for all analysed samples, while Table 2 shows the carbonic anhydrase isoforms identified therein.
Table 2.

Protein identification details of gel portions associated with CO2 hydratase activity through protonography.

SampleAccessionGene nameDescriptionSequence coverage (%)Peptides (number)PSMsUnique PeptidesAmino acidsScore (Mascot)
Patient P1-HME5RHP7CA1Human carbonic anhydrase I224104251382
 P22748CA4Human carbonic anhydrase IV9242312134
 V9HW21; P00918CA2Human carbonic anhydrase II326186260502
Patient P1-CTV9HW21; P00918CA2Human carbonic anhydrase II311126045
Patient P1-PMBCsE5RHP7CA1Human carbonic anhydrase I397187251627
 V9HW21; P00918CA2Human carbonic anhydrase II25595260379
Protein identification details of gel portions associated with CO2 hydratase activity through protonography. It was evident that CA I and II were the isoforms associated with the ascertained enzymatic activity in all cases. This result was not surprising since these proteins were already identified as CA isoforms present in human T and NK cells. Furthermore, proteomic identification parameters of these proteins in tumour and vicinal healthy tissue as well as in PBMC samples well paralleled enzymatic activities detected during protonographic measurements, further confirming that a protein representation decrease of these components was associated with lymphocyte degeneration characteristics. Together with isoforms CA IV, VII, XII, and XIII, CA I and CA II were already identified as highly represented in the colon and rectum of human patients.

Conclusions

Carbonic anhydrases were proven to act as significant pH mediators in tumour cells by regulating HCO3– and H+ concentrations. Among the 15 CA isoforms present in humans, two CA isozymes have attracted significant attention as anticancer targets, namely CA IX and CA XII. These two transmembrane proteins are significantly expressed in solid tumours and, through their catalytic extracellular domain, were proved to modulate the pH value of the tumour microenvironment, increasing cancer cell survival and proliferation. On the other side, few data are reported on the role of other CA isoforms in tumours. For example, CA I and CA II were shown to be upregulated in some cancer types, such as prostate, breast, melanomas, bladder, thyroid, breast, lung, liver, gliomas, renal cell carcinomas, and head and neck. Conversely, pancreatic, colorectal, gastric, and gastrointestinal stromal cancerous tissues showed a downregulation of the CA II protein expression, which was associated with cancer aggressiveness. In addition, CA XIII downregulation was found in CRC samples, even though the clinical significance of these findings has not been investigated. In this context, the combined use of protonography and proteomic procedures has allowed us originally to evaluate the representation of CA activity and isoforms in TILs, which play a critical role in the development of malignancies such as CRC. As a result, we have here demonstrated that T lymphocytes isolated from the healthy surrounding mucosa had a higher hydratase activity than those present in tumour and peripheral blood. Notably, we also have documented that CA I and II were the isoforms responsible for the different enzymatic activity we measured in TC, HM, and PBMC samples of the enrolled patients. Previous studies have detailed that CAs are variably represented in different immune cell types, such as B cells, NK, monocytes, and T cells. Noteworthy, CA I and CA II expression was observed in both CD4+ and CD8+ activated T cells. In addition, several T cell subsets, such as Treg, Th1, Th17, and Th2 cells, which we have previously demonstrated to have a crucial role in the development of CRC and other gastrointestinal cancers, were proved to express CA I and CA II,,. Accordingly, we can realistically hypothesise that the downregulation CAs can affect systemic acidosis, thus impairing the immune function and the related cancer-associated inflammation, promoting genomic instability, epigenetic change, cancer cell proliferation, angiogenesis, and ultimately cancer spread,. Interestingly, lymphocytes were shown to promote a CA-dependent epithelial HCO3– secretion as a critical host defence mechanism in other immunity-related contexts, such as during human prostatitis and lung bacterial infection,. Based on the data reported in this study, we could suppose that the immune system is damaged at the tumour site and cannot promote HCO3– secretion, thus leading to a drastic reduction of HCO3– levels compared to the corresponding adjacent healthy tissue. The low hydratase activity of CA I and CA II and a corresponding reduction of HCO3– secretion in CRC-infiltrating T lymphocytes may suggest a dysregulation of the local immune response and a consequent loss of effective anticancer mechanisms. Further studies are necessary to corroborate this preliminary observation and elucidate the ongoing processes linking acidosis and CRC development. Click here for additional data file.
  42 in total

Review 1.  An overview of the alpha-, beta- and gamma-carbonic anhydrases from Bacteria: can bacterial carbonic anhydrases shed new light on evolution of bacteria?

Authors:  Clemente Capasso; Claudiu T Supuran
Journal:  J Enzyme Inhib Med Chem       Date:  2014-04-25       Impact factor: 5.051

2.  Nivolumab in patients with metastatic DNA mismatch repair-deficient or microsatellite instability-high colorectal cancer (CheckMate 142): an open-label, multicentre, phase 2 study.

Authors:  Michael J Overman; Ray McDermott; Joseph L Leach; Sara Lonardi; Heinz-Josef Lenz; Michael A Morse; Jayesh Desai; Andrew Hill; Michael Axelson; Rebecca A Moss; Monica V Goldberg; Z Alexander Cao; Jean-Marie Ledeine; Gregory A Maglinte; Scott Kopetz; Thierry André
Journal:  Lancet Oncol       Date:  2017-07-19       Impact factor: 41.316

3.  Discovery of New Potential Anti-Infective Compounds Based on Carbonic Anhydrase Inhibitors by Rational Target-Focused Repurposing Approaches.

Authors:  Giannamaria Annunziato; Andrea Angeli; Francesca D'Alba; Agostino Bruno; Marco Pieroni; Daniela Vullo; Viviana De Luca; Clemente Capasso; Claudiu T Supuran; Gabriele Costantino
Journal:  ChemMedChem       Date:  2016-06-15       Impact factor: 3.466

4.  Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses.

Authors:  Yonit Lavin; Soma Kobayashi; Andrew Leader; El-Ad David Amir; Naama Elefant; Camille Bigenwald; Romain Remark; Robert Sweeney; Christian D Becker; Jacob H Levine; Klaus Meinhof; Andrew Chow; Seunghee Kim-Shulze; Andrea Wolf; Chiara Medaglia; Hanjie Li; Julie A Rytlewski; Ryan O Emerson; Alexander Solovyov; Benjamin D Greenbaum; Catherine Sanders; Marissa Vignali; Mary Beth Beasley; Raja Flores; Sacha Gnjatic; Dana Pe'er; Adeeb Rahman; Ido Amit; Miriam Merad
Journal:  Cell       Date:  2017-05-04       Impact factor: 41.582

5.  Protonography, a new technique for the analysis of carbonic anhydrase activity.

Authors:  Viviana De Luca; Sonia Del Prete; Claudiu T Supuran; Clemente Capasso
Journal:  J Enzyme Inhib Med Chem       Date:  2014-07-09       Impact factor: 5.051

6.  Carbonic anhydrase IX (CAIX) is not an independent predictor of outcome in patients with clear cell renal cell carcinoma (ccRCC) after long-term follow-up.

Authors:  Ben Y Zhang; R Houston Thompson; Christine M Lohse; Roxana S Dronca; John C Cheville; Eugene D Kwon; Bradley C Leibovich
Journal:  BJU Int       Date:  2013-04-02       Impact factor: 5.588

7.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

8.  Impairment of Hypoxia-Induced CA IX by Beta-Blocker Propranolol-Impact on Progression and Metastatic Potential of Colorectal Cancer Cells.

Authors:  Monika Barathova; Katarina Grossmannova; Petra Belvoncikova; Veronika Kubasova; Veronika Simko; Rudolf Skubla; Lucia Csaderova; Jaromir Pastorek
Journal:  Int J Mol Sci       Date:  2020-11-19       Impact factor: 5.923

9.  The Different Functional Distribution of "Not Effector" T Cells (Treg/Tnull) in Colorectal Cancer.

Authors:  Elena Niccolai; Federica Ricci; Edda Russo; Giulia Nannini; Giacomo Emmi; Antonio Taddei; Maria Novella Ringressi; Filippo Melli; Manouela Miloeva; Fabio Cianchi; Paolo Bechi; Domenico Prisco; Amedeo Amedei
Journal:  Front Immunol       Date:  2017-12-22       Impact factor: 7.561

Review 10.  Comprehensive review of targeted therapy for colorectal cancer.

Authors:  Yuan-Hong Xie; Ying-Xuan Chen; Jing-Yuan Fang
Journal:  Signal Transduct Target Ther       Date:  2020-03-20
View more
  1 in total

1.  Suppression of Tumor Growth and Cell Migration by Indole-Based Benzenesulfonamides and Their Synergistic Effects in Combination with Doxorubicin.

Authors:  Phuong Linh Nguyen; Ahmed Elkamhawy; Young Hee Choi; Chang Hoon Lee; Kyeong Lee; Jungsook Cho
Journal:  Int J Mol Sci       Date:  2022-08-31       Impact factor: 6.208

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.