Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Addendum
Announcement
Announcements
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Books Received
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Corrrespondence
Critique
Current Issue
Editorial
Editorial Podcast
Errata
Erratum
FORM IV
GUIDELINES
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Panel of Reviewers (2006)
Panel of Reviewers (2007)
Panel of Reviewers (2009) Guidelines for Contributors
Perspective
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Method
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Authors’ response
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Public Notice
Research Brief
Research Correspondence
Retraction
Review Article
Reviewers
Short Paper
Some Forthcoming Scientific Events
Special Article
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
View Point
Viewpoint
White Paper
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Addendum
Announcement
Announcements
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Books Received
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Corrrespondence
Critique
Current Issue
Editorial
Editorial Podcast
Errata
Erratum
FORM IV
GUIDELINES
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Panel of Reviewers (2006)
Panel of Reviewers (2007)
Panel of Reviewers (2009) Guidelines for Contributors
Perspective
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Method
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Authors’ response
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Public Notice
Research Brief
Research Correspondence
Retraction
Review Article
Reviewers
Short Paper
Some Forthcoming Scientific Events
Special Article
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
View Point
Viewpoint
White Paper
View/Download PDF

Translate this page into:

Original Article
163 (
5
); 585-592
doi:
10.25259/IJMR_2652_2025

Immunohistochemical evaluation of glutaminase-1 enzyme in oral squamous cell carcinoma

Department of Oral Pathology and Microbiology, Vasantdada Patil Dental College and HospitalvSangli, Maharashtra, India
Department of Pathology, #Kolhapur Cancer Center, Gokul Shirgaon, Maharashtra, India
Karnataka Cancer Therapy and Research Institute, Hubballi, Karnataka, India
Department of Oral Pathology and Microbiology, Maratha Mandal’s Nathajirao G. Halgekar Institute of Dental Sciences, Belgavi, Karnataka, India

For correspondence: Dr Madhuri Shital Chougule, Department of Oral Pathology and Microbiology, Vasantdada Patil Dental College and Hospital, Sangli, 416 306, Maharashtra, India e-mail: drmadhuri1977@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Chougule MS, Patil BR, Kotrashetti VS, Joshi PS, Patil AM, Pawar SB, et al. Immunohistochemical evaluation of glutaminase-1 enzyme in oral squamous cell carcinoma. Indian J Med Res. 2026;163:585-92. doi: 10.25259/IJMR_2652_2025

Abstract

Background and objectives

Malignant cells reprogram their metabolism. Glutamine is a major biosynthetic precursor apart from glucose in various cancers. Glutaminase 1 (kidney type) is the rate limiting enzyme in glutamine metabolism, which is increased in cancers of prostate, breast, colorectum, ovary and oral squamous cell. We aimed to evaluate the intensity and extent of immunohistochemical expression of glutaminase1 in various grades of oral squamous cell carcinoma (OSCC) and investigate whether any association exists between the glutaminase 1expression with staging, grading and tumour infiltrating lymphocytes.

Methods

This retrospective analysis included 98 formalin-fixed, paraffin-embedded tissue blocks of clinically and histopathologically confirmed cases of OSCC. One section was stained with haematoxylin and eosin and the other, immunohistochemically for glutaminase 1(GLS1). Staging, grading, tumour infiltrating lymphocytes were evaluated for their relation with GLS1 immunoscore.

Results

Statistically significant association was noted between GLS1 immunointensity (P<0.001) immunoextent (P<0.001) and the immunoscore (P=0.007) with the worsening grades of OSCC. There was no significant association between TNM staging P<0.61) and tumour infiltrating lymphocytes with GLS1 immunoscore (P=0.30).

Interpretation and conclusions

Glutaminase 1 expression increases with worsening grade of OSCC signifying an altered metabolic phenotype as the cancer cells lose differentiation.

Keywords

Cancer metabolism
Glutaminase 1 expression
Oral squamous cell carcinoma
TNM staging
Tumour grade
Tumour infiltrating lymphocytes

Cancer is a disease of cell proliferation. Metabolic reprogramming is one of the hallmarks of cancer. Glucose-independent glutamine metabolism via the tricarboxylic acid (TCA) cycle is essential for malignant cell proliferation and survival within hypoxic and nutrient-depleted tumour microenvironments.1 Glutamine is a conditionally essential amino acid; an important nutrient source for cancer tissues and is studied in numerous cancers.1-5 Glutamine is also required for growth, autophagy, signal transduction, immune function, acid-base balance, radio resistance, to regulate gene expression, mitogen-activated protein kinase activation and for regulating glucose uptake.1-3,6,7 It also supplies nitrogen for synthesis of purine, pyrimidine and nonessential amino acids.2 Some cancers develop a reliance on glutamine and are referred to as, ‘glutamine addicted’.2 These tumours over express the enzyme glutaminase (GLS) which is involved in the first step of glutaminolysis and converts glutamine to glutamate.2,8 There are two isoenzymes, GLS1; kidney-type isoenzyme (KGA), and GLS 2; the liver-type isoform (LGA).8 The activity of GLS1 controls the flux of glutaminolysis.3 GLS1 is found to be increased in numerous cancers, and this metabolic phenotype is associated with a higher disease stage and poor prognosis.4,5,8,9

There continue to be large gaps in understanding which metabolic pathways are altered in oral squamous cell carcinoma (OSCC), whether these alterations benefit the tumour in a substantive way, and how this information can be used in clinical oncology.10 Understanding the metabolic phenotype of OSCC will allow the development of appropriate anti-metabolic strategies, such as GLS1 inhibitor for OSCC with high GLS1 level. This study was conducted to evaluate the immunohistochemical expression of GLS1 in OSCC tissues and to find out if any association exists with prognosticators like Tumour Node Metastasis (TNM) staging, histopathological grading and tumour infiltrating lymphocytes.11

Methods

The study was conducted in the department of Oral Pathology, Vasantdada Patil Dental College and Hospital, Kavalapur, Sangli, from August 2023 to Feb 2025. This study was approved by the Institutional Ethical Committee (IEC) of the Institute. A total of 98 histologically proven OSCC patients were considered for this retrospective study based on sample size estimation (Supplementary Material). Demographic details such as age, gender, site, and TNM staging were recorded from the departmental archives. The patients were grouped based on the World Health Organization classification12 as follows:

  • Group A (n=48): Well-differentiated squamous cell carcinoma (WDSCC).

  • Group B (n=34): Moderately differentiated squamous cell carcinoma (MDSCC).

  • Group C (n=16): Poorly differentiated squamous cell carcinoma (PDSCC).

Supplementary Material

Diagnosed cases of primary, conventional OSCC were included. Histopathological variants of OSCC, patients with incomplete clinical history, paraffin blocks with insufficient tissue, patients with recurrence and patients with second primary tumour were excluded from the study.

Data collection

Formalin-fixed paraffin-embedded tissues of selected patients were retrieved from the archives. Two sections of 4 μm each were cut using a microtome. One section was stained with H and E stain, and the other with GLS1 immunohistochemistry. Primary antibody used was glutaminase -1/GLS1 (Cell Signaling Technologies, Massachusetts, USA), secondary antibody kit-Poly excel HRP/DAB Detection system (Pathn Situ Biotechnology, Hyderabad), immuno wash buffer (Pathn Situ Biotechnology, Hyderabad), tris EDTA (epitope retrieval buffer); Pathn Situ Biotechnology, Hyderabad).

GLS1 immunostaining

The primary antibody was detected using a one-step polymer HRP kit (Cell Signaling Technologies, Massachusetts, USA) by the avidin-biotin complex and counterstained with Harris’s haematoxylin. Immunohistochemical staining was performed following the manufacturer’s protocol. After deparaffinisation, endogenous peroxidase activity was blocked. Antigen retrieval was done and sections were incubated with the primary antibody at room temperature for 30 min. The primary antibody was used in a dilution 1:200- (1 µL of antibody and 199 µL of phosphate buffer saline). Tissue section of renal tubules was used as a positive control and negative control slides were processed by omitting the primary antibody.

Evaluation and scoring for GLS1 expression

The presence of brown-stained end product at site of antigen presentation in the cytoplasm of tumour cells in invading tumour islands, sheets in connective tissue was indicative of positive reaction. GLS1 expression was semi-quantitatively assessed by using Pan et al2 scoring criteria; by visualising five randomised high-power microscopic fields (X400 magnification) using binocular light microscope.

Staining extent

Sections with 0-5% labelled cells were scored as 0.15–25%, 25–50%, 50-75% or >75% of labelled cells were scored as 1, 2, 3, 4, respectively. Staining intensity was scored as: 0=negative staining, 1=weakly ‘positive’ (light yellow), 2=moderately ‘positive’ (yellow brown) and 3=strongly ‘positive’ (brown).

Immunoreactive score (IRS) for each specimen was calculated as (scores for extent of positive cells) multiplied by (score for staining intensity). The final score of 0 indicated no expression, 1–4=weak, 5–8=moderate and 9–12=strong expression.

Evaluation of Tumour Infiltrating Lymphocytes on H and E-stained slides

TIL is defined as the percentage of the stroma of invasive carcinoma infiltrated by lymphocytes in 10% increments5. The guidelines for evaluation of TIL were according to Xu et al11 (0-30%-low, 30%-70%- moderate, >70%-<99%-high level). Two pathologists (MSC and PSJ) analysed the slides. Wherever there was disagreement in scoring, a common consensus was obtained, and the final score was recorded.

Statistical analysis

All the data were tabulated in Excel and analysed in SPSS (SPSS v 26.0, IBM, USA) for statistical significance. To test the association between the various parameters the Yates Chi-square test was used. P<0.05 was considered to be statistically significant.

Results

The demographic details of the patients are depicted in Table I.

Table I. Demographic details of oral squamous cell carcinoma patients (N=98)
Parameter Group A* (n=48); n (%) Group B* (n=34); n (%) Group C* (n=16); n (%) Total (n=98); n (%)
Age (yr)
29-49 22 (45.8) 13 (38.2) 7 (43.7) 42 (42.8)
50-69 21 (43.7) 15 (44.1) 9 (56.2) 45 (45.9)
70 and above 5 (10.4) 6 (17.6) 0 11 (11.2)
Sex
Male 12 (12.2) 6 (6.1) 4 (4.0) 22 (22.4)
Female 36 (36.7) 28 (28.5) 12 (12.2) 76 (77.5)
Site
Gingivobuccal 13 (27.0) 6 (17.6) 2 (12.5) 21 (21.4)
Buccal mucosa 17 (35.4) 8 (23.5) 5 (31.2) 30 (30.6)
Tongue 9 (18.7) 12 (35.2) 7 (43.7) 28 (28.5)
Floor of the mouth 1 (2.0) 3 (8.8) 0 4 (4.0)
Retromolar trigone, alveolar bone 5 (10.4) 2 (5.8) 2 (12.5) 9 (9.1)
Lip 2 (4.1) 1 (2.9) 0 3 (3.0)
Palate 1 (2.0) 2 (5.8) 0 3 (3.0)
Group A: Well differentiated squamous cell carcinoma; Group B: Moderately differentiated squamous cell carcinoma; Group C: Poorly differentiated squamous cell carcinoma

GLS1 immunoexpression was positive in 90 (91.83%) out of 98 OSCC patients. Correlation of GLS 1 immuno expression in patients of various grades of OSCC, in term of staining intensity score, staining extent score, and immunoreactive score is shown in Table II. This is also depicted graphically in Figures 1 and 2.

Table II. Association of glutaminase 1 immunoexpression in patients with various grades of oral squamous cell carcinoma
GLS 1 expression Group A* (n=48); n (%) Group B* (n=34); n (%) Group C* (n=16); n (%) Total (n=98); n (%)
Staining intensity score
0 (-) (n=7) 6 (12.5) 0 1 (6.2) 7 (7.1)
1 (+) (n= 29) 20 (41.6) 8 (23.5) 1 (6.2) 29 (29.5)
2 (++) (n=38) 19 (39.5) 16 (47.0) 3 (18.7) 38 (38.7)
3 (+++) (n=24) 3 (6.2) 10 (29.4) 11 (68.7) 24 (24.4)
Yates Chi-square=25.925, P<0.001 statistically significant
Staining extent score
0 7 (14.5) 0 1 (6.2) 8 (8.1)
1 (6-25% of cells) 10 (20.8) 4 (11.7) 1 (6.2) 15 (15.3)
2 (26-50%) 19 (39.5) 7 (20.5) 0 26 (26.5)
3 (51-75%) 12 (25) 17 (50) 5 (31.2) 34 (34.6)
4 (>/= 75%) 0 6 (17.6) 9 (56.2) 15 (15.3)
Yates-Chi Square value: 33.12, P<0.001 statistically significant
Immunoreactive score
No 7 (14.5) 0 1 (6.2) 8 (8.1)
Weak (1-4) 34 (70.8) 9 (26.4) 1 (6.2) 44 (44.8)
Moderate (5-8) 5 (10.4) 18 (52.9) 2 (12.5) 25 (25.5)
Strong (9-12) 2 (4.1) 7 (20.5) 12 (75) 21 (21.4)
Yates-Chi Square value: 55.10, P<0.001 statistically significant

P<0.001 statistically significant. *Group A: Well differentiated squamous cell carcinoma; Group B: Moderately differentiated squamous cell carcinoma; Group C: Poorly differentiated squamous cell carcinoma. Interpretation: The intensity, extent and the immune reactive score of GLSI differ significantly with various grades of OSCC

Graphs showing co-relation for Glutaminase1 staining (A) intensity, (B) extent, (C) Glutaminase1 immunoreactive score (IRS) with oral squamous cell carcinoma cases in various grades, (D) Percentage of oral squamous cell carcinoma cases with varying Glutaminase1 immunoreactive score with Tumour Node Metastasis (TNM) staging, and (E) Glutaminase1 immunoreactive score with level of Tumour Infiltrating Lymphocytes.
Fig. 1. Graphs showing co-relation for Glutaminase1 staining (A) intensity, (B) extent, (C) Glutaminase1 immunoreactive score (IRS) with oral squamous cell carcinoma cases in various grades, (D) Percentage of oral squamous cell carcinoma cases with varying Glutaminase1 immunoreactive score with Tumour Node Metastasis (TNM) staging, and (E) Glutaminase1 immunoreactive score with level of Tumour Infiltrating Lymphocytes.
Photomicrograph shows Glutaminase1 staining in OSCC (10X) H and E- section of (A) Well differentiated squamous cell carcinoma; (B) Corresponding Glutaminase1 stained section; (C) H and E stained section of Moderately differentiated squamous cell carcinoma (MDSCC); (D) Corresponding Glutaminase1 stained section of MDSCC; (E) H and E stained section of Poorly differentiated squamous cell carcinoma.(PDSCC); (F) Corresponding GLS1 immunostained section of PDSCC. Inset: Strong GLS 1 expression in tumour strands (40X).
Fig. 2. Photomicrograph shows Glutaminase1 staining in OSCC (10X) H and E- section of (A) Well differentiated squamous cell carcinoma; (B) Corresponding Glutaminase1 stained section; (C) H and E stained section of Moderately differentiated squamous cell carcinoma (MDSCC); (D) Corresponding Glutaminase1 stained section of MDSCC; (E) H and E stained section of Poorly differentiated squamous cell carcinoma.(PDSCC); (F) Corresponding GLS1 immunostained section of PDSCC. Inset: Strong GLS 1 expression in tumour strands (40X).

TNM Staging

31.6% of OSCC patients in stage 1V showed a weak GLS1 IRS; 17.3% of OSCC patients in stage IV showed a moderate GLS1 expression. 13.26% showed a strong GLS1 IRS. GLS1 immunoexpression showed no correlation with TNM staging (P=0.61; Table III and Fig. 1D).

Table III. Association of OSCC cases of different glutaminase1 immunoreactive score with Tumour Node Metastasis (TNM) stagingand tumour infiltrating lymphocytes
TNM staging
OSCC patients with GLS1 immunoreactive score (IRS) I; n (%) II; n (%) III; n (%) IVA/B; n (%) Total; n (%)
No 1 (100) 0 2 (10) 5 (5.1) 8 (8.1)
Weak 0 8 (72.7) 5 (25) 31 (31.6) 44 (44.8)
Moderate 0 2 (18.1) 6 (30) 17 (17.3) 25 (25.5)
Strong 0 1 (9.0) 7 (35) 13 (13.2) 21 (21.4)
Total 1 (1.0) 11 (11.2) 20 (20.4) 66 (67.3) 98
Yates-Chi Square value:7.214, P=0.61 statistically not significant
Tumour infiltrating lymphocytes
Low level*; n (%) Moderate level*; n (%) High level*; n (%) Total; n (%)
No 1 (4.3) 3 (7.6) 4 (11.1) 8 (8.1)
Weak 6 (26.0) 17 (43.5) 21 (58.3) 44 (44.8)
Moderate 7 (30.4) 12 (30.7) 6 (16.6) 25 (25.5)
Strong 9 (39.1) 7 (17.9) 5 (13.8) 21 (21.4)
Total 23 (23.4) 39 (39.7) 36 (36.7) 98
Yates-Chi Square value:7.202, P=0.30 statistically not significant
Tumour infiltrating lymphocytes: 0-30%- Low level, 30%-70%- Moderate level, >70%-<99%- High level

Interpretation: GLS1 immunoreactive score did not differ significantly with respect to TNM staging and Tumour Infiltrating Lymphocytes

Tumour infiltrating lymphocytes (TIL)

38.8% and 30.61% of OSCC patients showed moderate and high level of TIL, respectively; 50% of OSCC with moderate level of TIL (score-2) and 53.33% patients with higher TIL; showed a weak IRS in tumour cells. No statistically significant relation was noted. (P=0.30; Table III, Figs. 1E and 3).

Photomicrograph (10X) (A) H and E-stained section showing high level TIL, (B) Corresponding to IHC section. Inset: GLS 1+ ++TIL, (C) H and E-stained section showing moderate level TIL, (D) Corresponding IHC section, (E) H and E-stained section showing low level TIL, (F) Corresponding IHC section.
Fig. 3. Photomicrograph (10X) (A) H and E-stained section showing high level TIL, (B) Corresponding to IHC section. Inset: GLS 1+ ++TIL, (C) H and E-stained section showing moderate level TIL, (D) Corresponding IHC section, (E) H and E-stained section showing low level TIL, (F) Corresponding IHC section.

Discussion

We noted a highly significant increase in the intensity and the extent of GLS1 expression with worsening grades of OSCC; indicating a strong correlation between increasing GLS1 expression and worsening tumour grade.

Similar results were noted by Cetindis et al13 and Kamarajan et al4, who reported GLS1 expression to be high in primary and metastatic OSCC tissues compared to controls. Yang et al1 hypothesised that glutamine supplementation promotes OSCC growth. The overexpression of functional glutaminolysis is crucial for the bioenergetic and biosynthetic homeostasis especially in proliferative and invasive cancer cells.14 Serum glutamate levels are also known to be associated with tumour aggressiveness9. The GLS transcript has a pH-responsive element, which results in increased expression at acidic pH. Intratumoural hypoxia increases the accumulation of HIF-1α (hypoxia inducible factor), which binds to the GLS1 gene’s hypoxia-response element, increasing its transcription, which regulates multiple downstream target genes associated with cancer migration, invasion, metastasis, and relapse.6 Kamarajan et al4 concluded that glucose metabolism may be more important for survival and proliferation, whereas glutamine/glutamate metabolism may be critical for subsequent aggressive transitions, such as acquiring stemness properties and metastatic potential. Thus, increased GLS1 expression may suggest that the tumour is of an aggressive phenotype with a probability of nodal metastasis, loco-regional recurrence, and second primary tumour in the future.4,6,9 A previous study however, found that glutamine may not be the dominant energy source and noted that OSCC are glycolytic tumours. However, this study was done on cell culture.15

Eight out of 98 OSCC patients showed no GLS1 expression. About 26.47% of MDSCC and 6.25% of PDSCC patients showed weak GLS1 expression. The probable reason for the weak staining could be attributed firstly to the fact that samples were collected from various cancer centres, wherein there could be variability in tissue preservation and fixation, which could have affected the immunohistochemical staining. However, we ensured that the processing protocol was nearly uniform at the centres. Secondly, solid tumours contain significant heterogeneity of perfusion, such that many tumour cells reside in nutrient- and oxygen-poor environments; hence, areas within the same tumour can be driven by different oncogenes and can be metabolically divergent.16,17 Considering glutaminase expression to be a marker of aggressiveness; patients with strong expression should be kept on a keen follow up to see for the treatment outcomes. In a clinical scenario, it is noted that some exceptional cases of early OSCC with better differentiation; succumb to cancer. This provides a scope to evaluate GLS1 in OSCC patients and correlate it with survival in future prospective studies.

To date, the TNM classification scheme is still the most practical method to predict prognosis in OSCC. Therefore, we evaluated for correlation between GLS1 expression and TNM staging and found no association. Pan et al2 noted that GLS1 expression was higher in T3/T4 prostate cancer, and in tumours with higher Gleason scores. Similar results were noted in colorectal carcinoma.18 GLS1 expression in OSCC is a direct effect of the genotype, which decides the metabolic phenotype of the tumour. TNM staging is based on anatomic characteristics of the tumour, such as the tumour size, lymph node metastasis, which is decided by the metabolic phenotype. Hence, the lack of correlation indicates that studying the tumour metabolomic is more important.

There are many supplementary histopathologic prognosticators. Prominent among them is, TIL. TILs are part of the immune response that plays a critical role in recognising and eliminating tumours and is also assumed to influence the clinical behavior of tumours.19,20 Tumours of the same clinical stage and/or same histopathologic grade may have extremely variable immune responses.21 TIL is associated with determining survival and local recurrence.19-22 Thus, the study further evaluated the correlation between GLS1 IRS and TIL and found no significant association. Kim et al5 observed that higher glutaminase expression in tumour cells correlated with a low level of TILs in triple negative breast cancer patients. They concluded that a metabolic competition exists in the tumour microenvironment; a high level of GLS1 expression in tumour cells might result in glutamine deprivation in TILs, thereby hindering the protective role of T cells in cancer progression. There is a link between metabolic reprogramming and immune evasion, as changes in the tumour cell metabolism can influence the components and function of the inflammatory infiltrates.20 When glutamine is deficient in the cell growth environment, T cell activation is completely inhibited.23

Our study shows that with worsening tumour grade the GLS1 expression increases significantly, indicating that GLS1 expression marks tumour aggressiveness. Literature search revealed no study wherein a comparison was done between GLS1 expression with differentiation grades, TNM staging, and TIL in OSCC. There are few lacunae in our study. This was a retrospective study, it did not address the association of GLS1 expression with many of the possible variables associated with survival or recurrence, such as tumour margin status, pattern of invasion, the expression in various anatomical sites treatment regimen or concomitant medical problems; due to time and financial constraints.

The dependence of tumour on glutamine metabolism has formed the basis for use of anti-glutamine metabolites in cancer therapeutics. Anti GLS1 drugs like telaglenastat has shown promising results in Phase I and II clinical trials in OSCC.24 Glutamine is also used in cancer imaging in brain tumours and has been successfully used for tumour detection in glioma patients validating it as a diagnostic tool.8 Accumulating evidence shows that the predictive capability of 8th AJCC staging system still need to be improved in order to obtain a more robust prognostic stratification.21 Hence, determining the GLS1 expression in OSCC patients carries more weightage and can play an important role in risk stratification in oral cancer patients. More research needs to be carried out on OSCC metabolism in the Indian population to determine glutamine dependence of tumours, whether such tumours are associated with treatment failure, drug resistance, and their role in modifying the tumour immune microenvironment.

Author contributions

MSC: Conceptualisation, idea generation, study design and methodology, data collection, data analysis and interpretation, supervision, mentorship, fund acquisition, manuscript writing; BRP: Providing data, resources, supervision, mentorship; VSK: Conceptualisation, study design, methodology, data analysis and interpretation; PSJ: Conceptualisation, idea generation, data analysis and interpretation, supervision, mentorship, manuscript writing; AMP: Providing data, resources; SBP: Providing data, resources, supervision. All authors have read and approve the final printed version of the manuscript.

Financial support and sponsorship

This study was supported by the Maharashtra University of Health Sciences, Nashik under Long Term Research Grant Project 2022-23 funding (MUHS/URD/298/2023).

Conflicts of Interest

None.

Use of Artificial Intelligence (AI)-Assisted Technology for manuscript preparation

The authors confirm that there was no use of AI-assisted technology for assisting in the writing of the manuscript and no images were manipulated using AI.

References

  1. , , , , , , et al. Targeting cellular metabolism to reduce head and neck cancer growth. Sci Rep.. 2019;9:4995.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  2. , , , , , , et al. Elevated expression of glutaminase confers glucose utilization via glutaminolysis in prostate cancer. Biochem Biophys Res Commun.. 2015;456:452-8.
    [CrossRef] [PubMed] [Google Scholar]
  3. , , , , , , et al. Glutamine promotes ovarian cancer cell proliferation through the mTOR/S6 pathway. Endocr Relat Cancer.. 2015;22:577-91.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  4. , , , , , . Head and neck squamous cell carcinoma metabolism draws on glutaminolysis, and stemness is specifically regulated by glutaminolysis via aldehyde dehydrogenase. J Proteome Res.. 2017;16:1315-26.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  5. , , , , , , et al. Glutaminase expression is a poor prognostic factor in node-positive triple-negative breast cancer patients with a high level of tumor-infiltrating lymphocytes. Virchows Arch.. 2017;470:381-9.
    [CrossRef] [PubMed] [Google Scholar]
  6. , , , , , , et al. Glutaminase 1 expression in colorectal cancer cells is induced by hypoxia and required for tumor growth, invasion, and metastatic colonization. Cell Death Dis.. 2019;10:40.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  7. , , , , , , et al. Glutaminase inhibition with telaglenastat (CB-839) improves treatment response in combination with ionizing radiation in head and neck squamous cell carcinoma models. Cancer Lett.. 2021;502:180-8.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  8. , , . Cancer cell metabolism: The essential role of the nonessential amino acid, glutamine. EMBO J.. 2017;36:1302-15.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  9. , , , , , , et al. Serum glutamate levels correlate with Gleason score and glutamate blockade decreases proliferation, migration, and invasion and induces apoptosis in prostate cancer cells. Clin Cancer Res.. 2012;18:5888-901.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  10. , , . Glutamine and cancer: Cell biology, physiology, and clinical opportunities. J Clin Invest.. 2013;123:3678-84.
    [CrossRef] [PubMed] [Google Scholar]
  11. , , , , . Prognostic value of tumor-infiltrating lymphocytes for patients with head and neck squamous cell carcinoma. Transl Oncol.. 2017;10:10-6.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  12. Barnes L, Eveson JW, Reichart P, Sidransky D, editors. World Health Organization classification of tumours. Pathology & genetics head and neck tumours.
  13. , , , , , . Glutaminolysis and carcinogenesis of oral squamous cell carcinoma. Eur Arch Otorhinolaryngol.. 2016;273:495-503.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , , , , et al. A comparative pharmaco-metabolomic study of glutaminase inhibitors in glioma stem-like cells confirms biological effectiveness but reveals differences in target-specificity. Cell Death Discov.. 2020;6:20.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  15. , , , , , , et al. Glucose, not glutamine, is the dominant energy source required for proliferation and survival of head and neck squamous carcinoma cells. Cancer.. 2011;117:2926-38.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  16. , . Fundamentals of cancer metabolism. Sci Adv.. 2016;2:e1600200.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  17. , , , . Glutamine metabolism in cancer: Understanding the heterogeneity. Trends Cancer.. 2017;3:169-80.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  18. , , , , . Glutaminase sustains cell survival via the regulation of glycolysis and glutaminolysis in colorectal cancer. Oncol Lett.. 2017;14:3117-23.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  19. , , , , , . Prognostic role of tumor-infiltrating lymphocytes in oral squamous cell carcinoma. BMC Cancer.. 2024;24:766.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  20. , , , , , , et al. Enhanced glutamine uptake influences composition of immune cell infiltrates in breast cancer. Br J Cancer.. 2020;122:94-101.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  21. , , , , , , et al. Assessment of tumor-infiltrating lymphocytes predicts the behavior of early-stage oral tongue cancer. Am J Surg Pathol.. 2019;43:1392-6.
    [CrossRef] [PubMed] [Google Scholar]
  22. , , , , , , et al. Tumor infiltrating lymphocytes and survival in patients with head and neck squamous cell carcinoma. Head Neck.. 2016;38:1074-84.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  23. , , , , , , et al. Glutamine and cancer: Metabolism, immune microenvironment, and therapeutic targets. Cell Commun Signal.. 2025;23:45.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  24. , , , . Targeting glutamine metabolism as a therapeutic strategy for cancer. Exp Mol Med.. 2023;55:706-15.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
Show Sections
Scroll to Top