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Systematic Review
161 (
6
); 636-646
doi:
10.25259/IJMR_724_2024

Expression profile of cancer stem cell markers SOX2, OCT4 & NANOG in salivary gland malignancies: A systematic review

Department of Oral and Maxillofacial Pathology, Christian Dental College & Hospital, Ludhiana, India
Department of Orthodontics, Desh Bhagat Dental College, Mandi, Gobindgarh, Punjab, India
Department of Oral Anatomy, Post Graduate Institute of Dental Sciences, Rohtak, Haryana, India
Department of Oral Pathology, Post Graduate Institute of Dental Sciences, Rohtak, Haryana, India

For correspondence: Dr Deepti Sharma, Department of Oral and Maxillofacial Pathology, Christian Dental College & Hospital, Ludhiana 141 008, Punjab, India e-mail: deepti_dentist@yahoo.co.in

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.

Abstract

Background & objectives

Cancer stem cells influence aggressive biology, metastasis, recurrence, and treatment resistance in various malignancies. The transcription factors SRY-box transcription factor 2 (SOX2), Octamer-binding transcription factor 4 (OCT4), and Homeobox protein NANOG (NANOG) are prime controllers of the signalling circuit required for embryonic stem cell pluripotency. Salivary gland tumours exhibit diverse biological and clinical behaviours ranging from a benign, innocuous nature to highly aggressive tumours, with a great tendency for recurrence, and poor prognosis. Advances in therapeutic modalities have also been limited. This systematic review aims to uncover the differential expression and influence of SOX2, OCT4, and NANOG in salivary gland malignancies. This could help the stratification of high-risk patients and the identification of newer prognostic and predictive remedial targets.

Methods

PubMed, Scopus, Google Scholar, and Clinical key databases were searched for relevant articles, and studies that met the eligibility criteria were selected.

Results

Ten articles that fulfilled the eligibility criteria were included. All the studies supported the role of the studied markers as prognosticators and potential therapeutic targets.

Interpretation & conclusion

The aforementioned transcription factors might have contributed to aggressiveness and poor prognosis. Thus, it has been inferred that a combination of these factors may serve as a marker to determine the behaviour and therapeutic approaches for salivary gland malignancies.

Keywords

Cancer
pluripotency
prognosis
salivary gland
stem cells
therapeutic

Malignancies originating from salivary glands are diverse and bear complex pathologies exhibiting varied biological behaviour, clinical profiles, and histological and molecular diversities, resulting in considerable diagnostic, prognostic, and therapeutic challenges1. For patients’ benefit and clinical and scientific research purposes, identifying and exploring biomarkers is highly relevant to improve survival rates and develop targeted therapies2. The distinctive subpopulation of tumour cells having a primitive state and enhanced invasive properties are cancer stem cells (CSCs), which are imperative for tumour development, metastasis, and relapse3. It has been suggested that the presence of the CSC population is involved in tumour initiation, progression, drug resistance, and recurrence. In the past few decades, the sustenance of CSCs in tumours has been substantiated; still, exploring markers that can identify these cells for possible therapeutic implications is ongoing4. Scientific research has focused on the immune-expression of stem cell markers and linked their immune profile with clinic-pathological characteristics of the tumours5. Cluster of differentiation 44 (CD44), octamer-binding transcription factor 4 (OCT4), and homeobox protein NANOG (NANOG), SRY-box transcription factor 2 (SOX2), aldehyde dehydrogenase (ALDH), B cell-specific moloney murine leukemia virus integration site 1 (Bmi-1), zinc finger protein SNAI1 (Snail), Twist-related protein 1 (Twist1), keratin 14, CD133, mesenchymal-epithelial transition factor (c-Met), and CD24 are a few biomarkers implicated in the recognition of tumour stem cells in head and neck carcinomas and salivary gland malignancies6. A combination of CSCs has a plausible role in diagnosing and prognostication of salivary gland malignancies, but their exact pathobiology in individual salivary gland tumours is ambiguous7.

OCT4, SOX2, and NANOG are the transcriptional regulators that coordinate stemness characteristics extensively and are rich in both CSCs and embryonic stem cells (ESCs). The pluripotent circuitry is upheld within ESCs, and combined positivity for these three markers could reflect a high concentration of CSCs. In addition, these proteins regulate the expression and repression of differentiation and pluripotency-associated genes8. SOX2 is critical for pluripotency and is reported as a key player in oncogenesis. OCT4 is a crucial regulator of epithelial-mesenchymal transition (EMT), and NANOG is involved in blocking differentiation. These three factors form a closely knit circuit with other regulatory proteins and thus could be explored as potential targets to identify CSCs and develop CSC-targeted therapies9. Evidence-based data are needed to document the expression profiling of studied biomarkers in different salivary gland malignancies and their likely association with outcome so that future studies can be planned considering the strengths and limitations of the available literature.

Therefore, this systematic review was designed for a comprehensive and critical analysis of studies that evaluate the role of SOX2, OCT4, and NANOG as diagnostic, prognostic, and therapeutic indicators in salivary gland malignancies.

Materials & Methods

The protocol of this systematic review was registered at the International Prospective Register of Systematic Reviews (PROSPERO) database (CRD42023408336) and conducted in agreement with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines.

Research question

This systematic review addressed the following research question: Do SOX2, OCT4, and NANOGSCMs determine the behaviour and prognosis of salivary gland malignancies? The Population Intervention Comparison Outcome (PICO) used to define the research question was:

Population

Patients with histologically confirmed salivary gland malignancy.

Intervention/Markers of interest

Immunohistochemical expression of CSC markers SOX2, NANOG, and OCT4 in salivary gland malignancies.

Control/Comparator

Normal salivary gland tissue/benign salivary gland tumours.

Main outcome

Assessment of immune expression of stem cell biomarkers SOX2, NANOG, and OCT4 to determine the predictive and prognostic efficacy in salivary gland malignancies.

Eligibility criteria

The eligibility criteria for study selection were determined before the literature search. Original research papers (randomised controlled trials, cohort, case-control, and cross-sectional) that evaluated the behaviour and prognostic and predictive effect of SOX2, OCT4, and NANOG immunohistochemically in salivary gland malignancies, published in the English language only, and which were freely available online with full-text version were incorporated.

Book chapters; meta-analysis; systematic reviews; review articles; case reports/case series; abstract-only articles; in vitro and animal studies; studies which had no relevance to the topic; conference abstracts; dissertations; duplicate articles; articles in a language other than English; articles with data variability; articles for which full text was not available online; studies which used techniques other than immunohistochemistry to study the expression of stem cell markers; studies which evaluated CSC markers other than SOX2, OCT4, and NANOG were excluded.

Search strategy

Articles were identified through an electronic search in four databases (PubMed, Scopus, Clinical Key, and Google Scholar) from April 16 to April 30, 2023 without any period restriction. The keywords included were ‘Cancer,’’SCMs,’’SOX2,’’OCT4,’’NANOG,’ and ‘Salivary gland malignancy’ with the use of Boolean operators “OR” and “AND” between them. A bibliographic list of included articles was also checked for any additional studies meeting the eligibility norms.

Article screening and eligibility evaluation

Two reviewers (DS and SG) independently screened the titles and abstracts of all the articles, and those not fulfilling the eligibility criteria were excluded. The same two authors then read the full text of the articles to evaluate eligibility. The differences of opinion were sorted by discussion, and consensus was achieved by consulting a third reviewer (MK).

Data extraction

To certify the reliability of the content, data were extracted by the first author (DS) and revised by the second author (SG). The data were extracted from the included studies: general information (authors; article title; year of publication); study characteristics (objectives; study design; inclusion and exclusion criteria, study inferences); participant characteristics (number of participants enrolled, age, gender, clinicopathological disease characteristics); immunohistochemical expression of CSCs by SOX2, OCT4, and NANOG in salivary gland malignancies; outcomes. A narrative synthesis structured around the study population characteristics and outcome measures was performed to extrapolate the possible prognostic or predictive significance of SOX2, OCT4, and NANOG derived from the findings of the included studies (Table I and II)10-19.

Table I. Clinicopathological disease characteristics of the participants involved in different studies
S. No.

Study

Reference

Study Design No. of cases/control

Age (yr)

Gender (M:F)

Type of Neoplasia Site TNM Histological grading Origin

PNI

Y:N

Metastasis

Y:N

Follow up Recurrence
1.

Dai et al10,

2014

Case-Control

Cases -131

Control-131 (paired Adjacent non-cancerous tissue)

36-78

75:56

ACC

I or II: 77

III or IV: 54

(UICC 2002

staging system)

Cribriform/Tubular-102

Solid-29

(WHO classification)

- 95:36 43:88 3 - 62 months -
2. Rodrigues et al11, 2016 Case-Control

Cases -28

Control-20 (Non-neoplastic salivary gland tissuefrom same patient)

45.5

30% (8):70% (20)

MEC

Ma/Mi-19/9

PA-16

SM-03

Palate -04

Low/Int/High-

21:4:2

(WHO grading)

- 9:19 - -- -
3. Sedassari et al12, 2017 Case-Control

Cases25

(CXPA)

Control-30 (PA)

CXPA /PA

61.4 /38.5

12:13/19:11

PA-30

CXPA-25

Intra/Extracapsular -7:18

PA-

P/SM/Mi-15/1/14

CxPA-

P/Mi-16/9

PA-

T1/ T2-10

T3/T4-15

CXPA

T1-2

T2-8

T3-6

(AJCC 7th edition)

CXPA-

High/Low-19/6

Primary -19

Recurrent -06

Intra/Extracapsular0/7 Intra/Extracapsular-0/10 2000 days

Intra/Extracapsular-

0/11

4. Xu et al13, 2017 Cross-sectional 75

42.49

25:50

MEC of palate

HP-74.7%

Jxn-22.7%

SP-2.6

T1&2-90.7%

T3&4-9.3%

(AJCC classification)

Low/Int/High-38/31/06

(Brandie’s classification)

0/75 11 to 124 months
5. Thierauf et al14, 2018 Cross-sectional 45

55

18:27

ACC

Parotideal-15

Extra-parotideal-30

I,II-23

III,IV-22

(AJCC classification)

Cribriform/tubular/mixed-32

Solid-13

2/43
6. Kamal et al15, 2018 Cross-sectional 32 -

MEC -16 (low grade:high grade/8:8)

PSSC-16 (low grade: high grade/8:8)

- - - - - - - -
7. Luo et al16 2019 Case-Control

Cases-34

Control- 10

(Paracancerous normal gland tissue)

30–78

24:20

ACC

P/SM/ SL

18/5/15

Palatine-6

Stage I/II:III/IV

21:13

Sieve/Tubular: Solid=26:8 - - - 26–66 months -
8. Bertlicha et al17, 2021 Cross-sectional 31

77 (42 -92)

19:12

SCC

P/SM

27/4

-

G1-2

G2-26

G3-03

Primary -18

Metastatic-13

16
9.

Mouraet al18,

2021

Case-Control

Cases-60

Control -05 (mucus extravasation phenomenon and remnant parenchyma of a normal salivary gland for the Ma/MiSGT)

44.7

35:25

PA/MEC/ACC-

20 each

Ma:Mi

10:10 for every tumour

P/SM/ SL

18/10/2

Palate -14

Lip mucosa -6

-

PA-

Cellular/Classical/Myxoid:9/6/5

(Seifert et al)

MEC-

Low/Int/High: 10/3/7

ACC-

Solid/Cribriform/Tubular:10/6/4

(Barnes et al)

- - - - -
10. Spiegel et al19, 2021 Cross-sectional 40

64.4

29:11

Adenocarcinoma of the salivary glands P/SM-28/12

T1-2 /T3-4

-20/20

(UICC 7th edition)

G1/G2/G3 -8/21/11 08/21/11 14:26 41.8 ± 42.0 months 10

P, parotid gland; SM, submandibular gland; SL, sublingual; PNI, perineural invasion; PA, pleomorphic adenoma; PSCC, primary squamous cell carcinoma; SCC, squamous cell carcinoma; ACC, adenoid cystic carcinoma; MEC, mucoepidermoid carcinoma; CXPA, carcinoma ex-pleomorphic adenoma; SGT, salivary gland tumour; Mi, minor; Ma, major; Int, intermediate; SP, soft palate; HP, hard palate; Jxn, junction; AJCC, American Joint Committee on Cancer; WHO, World Health Organization; UICC, Union for International cancer control

Table II. Expression profile of various Immunohistochemical markers and the interpretation
S. No. Study Markers Used Expression evaluation Immunoexpression & findings Inference Limitations
1.

Dai et al10,

2014

SOX-2

Total score was calculated as:

Staining score = intensity × positive rate (cell staining intensity and percent of positive cells)

-High:Low/82:49

-High SOX2 expression patients had lower OS and DFS (5yr)

-High:Low- (SOX2 expression)- Hazard Ratio: 4.71: 4.55.

-Adjacent normal tissue was negative for SOX2 expression.

-A significant biomarker to evaluate the ACC patient’s prognosis may be SOX2.

-Elevated expression of SOX2 was significantly associated with T category and distant metastasis.

-SOX2 expression and age, gender, histological type, and nerve invasion showed no significant association.

Not mentioned
2. Rodrigues et al11, 2016

OCT-4

NANOG

Positive tumour cells percentage was evaluated and categorised as negative (0-10%), 1 (10- 50%) and 2 (> 50%)

-OCT-4

Negative/Score 1/Score 2: 8/7/13

NANOG

Negative/Score 1/Score 2: 7/8/13

-2 non-cancerous salivary gland tissue revealed OCT-4 expression in the cytoplasm of ductal cells. In addition, discrete number of acinar cells also showed positive expression.

-Positive NANOG expression was seen in ten non-cancerous gland tissue.

-Statistically significant relationship was observed between OCT-4 expression with PNI, growth pattern, desmoplasia, margin status.

-Statistically significant relationship was observed between expression of NANOG with PNI, desmoplasia.

Expression of OCT4 and NANOG contribute to worst prognosis and aggressiveness Non-inclusion of correlation analysis between the immunoexpression of CSC markers with overall survival
3. Sedassari et al12, 2017 SOX-2

At least 5% of nuclear stain positivity of neoplastic cells was considered positive.

Further subcategorised as focally (>5-50%) and diffusely positive (>50%) cells.

Total number of positive cases

PA -0

CXPA- 24

Positivity for SOX2

Intracapsular-85.7%

Extracapsular - 100%

-Diffuse SOX-2 expression had a significant correlation with high histological grade, advanced pT stage, recurrence and distant metastasis.

-Patients had shorter OS rate with extracapsular-CXPA and diffuse SOX2 expression

-No significant relation between SOX-2 expression and DFS rate.

-SOX2 is significant for carcinogenesis and tumour invasion in CXPA

Less number of cases, geographic and therapeutic differences, retrospective use of paraffin-embedded tissues may impact tissue antigenicity
4. Xu et al13, 2017 NANOG SOX2 Immunopositive cancer cells percentage was evaluated and graded as strongly positive (>50%) weakly positive (10–50%) and negative (0–10%),

-Negative/Weakly, Positive/Strongly positive

-SOX-2-29/27/19

-NANOG-23/32/20

-No significant association of SOX-2 and NANOG with 5-yr OS rate.

-SOX-2 and NANOG alone might not be effective prognosticators for MEC of palate. Incomplete information collection due to missing data for patients with distant metastasis or regional recurrence
5. Thierauf et al14, 2018 SOX2 Immunoexpression was evaluated as (1=0%, 2= less than 33%, 3= between 34% and 66%,4= more than 66% positive tumour cells). Prominent nuclear staining for SOX2 was observed in 31% of ACC.

-Absence of SOX2 expression seen in solid ACC, characterised by more aggressive phenotype.

-No significant correlation of SOX2 expression profile was observed with clinical data. Higher SOX2 expression in patients with a lower tumour stage and without lymph node metastasis.

-Detailed information of different subgroups was lacking

-Small size cohort

6. Kamal et al15, 2018 SOX2

Immunostaining was considered as SOX2 positive reaction with visible brown coloured nuclear stain.

The area percentage of immune positive cells to the area examined using computerised image analyser was estimated to assess immunoreactivity

-MEC and PSSC revealed positive nuclear expression for SOX2.

-A statistically significant difference and higher mean value of SOX2 area percent of immunoexpression was documented in PSCC high grade, followed by MEC high grade, while the lowest value was recorded in PSCC low grade.

A significantly high SOX2 expression was seen in high-grade tumours. Not mentioned
7. Luo et al16, 2019 SOX-2

Positive expression of SOX-2 (IHC)---

Cases (47.06%)

SOX-2 Positive expression-

T1/T2 :T3/T4-28.57%:76.92%

Sieve/Tubular: Solid- 34.6%:87.5%

One of the 10 cases in the control group showed low expression.

-SOX2 expression correlated with tumour cancer stem cells

-High SOX2 expression in the periphery of the tumour suggested it’s relation with invasion and aggressiveness of tumour.

Not mentioned
8. Bertlicha et al17, 2021 SOX-2

Immunoreactivity was quantified with H-score.

The formula used was 3 × percentage of strongly staining membrane/cytoplasma/nuclei + 2 × percentage of moderately staining membrane/cytoplasma/nuclei + percentage of weakly staining membrane/cytoplasma/nuclei, giving a range of 0–300. ROC curve and Youden Index were used to derive cutoff value to define high or low marker expression.

high:low/no of cases- 15:16

high:low

OS (%):37.1:62.3 (3yr); 37.1: 49.9 (5 yr)

DSS (%):59.7: 80 (3 yr); 59.7: 80 (5 yr)

RFS (%):21.9: 62.5 (3 yr); 21.9: 62.5 (5 yr)

LCR (%):48.2: 75.0 (3 yr); 48.2: 75.0 (5 yr)

-SOX-2 expression correlated with poorer prognosis.

-High expression of SOX-2 indicates increased CSC activity and require more aggressive therapy.

-Increased RFS rates associated with low expression of SOX-2.

Not mentioned
9.

Moura et al18,

2021

OCT-4 The scores of percentages of positive cells (PP) and intensity of expression (IE) were summed to obtain the total score, that ranged from 0 to 7.

-With regard to tumour type and anatomical location most frequent percentage of positive cells and the intensity of expression score for OCT-4was 4 (n = 40) and 3 (n = 30)

-Total immunostaining score was

Ma/Mi SGT-6.6/5.3

Benign/Malignant- 5.4/6.2

-Comparison of OCT4 and CD44 expression between MaSG and MiSG tumours revealed lower expression in the latter.

-Biological behaviour of salivary gland neoplasms is indicated by immunoexpression of tumour stem cell markers

-OCT4 proteins were significant markers to identify tumour stem cells.

-Both luminal and non-luminal cells were positive for OCT-4 in the case of PA and ACC. It was positively expressed in squamous and intermediate cells but not in mucous cells in MECs thus highlighting a less aggressive phenotype.

Not mentioned
10. Spiegel et al19, 2021

NANOG

SOX2

H-score was used to quantify immunoreactivity.

-Youden Index were used to derive cutoff value to define high or low marker expression.

NANOG-

Low:High 36:4

SOX2-

Low:High 33:7

NANOG

OS%- high:low—66.7:71.6 (3 years);

-0: 66.1 (5yr)

DSS%- high:low—66.7/84.2 (3 years);0: 84.2 (5 yr)

RFS%- high:low—50/74.5 (3 years); 0:74.5 (5 yr)

LCR- high:low—75/85.5 (3 yr);0: 85.5 (5 yr)

SOX2-

OS%- high:low—100/64.1s (3 yr); 75/64.1% (5 yr)

DFS %- high:low—100/77.6 (3 yr); 100/77.6 (5yr)

RFS%- high:low—71.4/72.5 (3 yr); 71.4/72.5 (5 yr)

LCR%- high:low 83.3/84.8 (3 yr); 83.3/84.8 (5 yr)

-Significant association of high expression of SOX-2 with negative PNI was observed.

-Low expression of NANOG/SOX-2 was associated with higher grading.

- Survival-estimates had no significant correlation with investigated CSCs markers.

-Heterogenous methods applied, cohort and investigated CSCs-Retrospective analysis

DFS, disease free survival; DSS, disease-specific survival; G, grading; LCR, local control rate; OS, overall survival; RFS, recurrence-free survival; T, tumour size; N, nodal category; M, metastasis; pT, pathological tumour size

Quality assessment

The two reviewers (SG and DS) independently assessed the methodological quality of the included articles, and contradictions were sorted after consultation with a third author (MK). The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included articles for case-control/cross-sectional studies, and articles with seven or more stars were regarded as high quality.

Results

Study selection

Out of the 218 articles identified from the databases, 126 duplicate studies were removed. Further, 92 articles were screened, and 31 were assessed for eligibility. After considering the desired inclusion criteria and identifying articles from other sources, 10 studies that met the eligibility criteria were included (Fig. 1).

Flowchart depicting Identification, screening and inclusion of the article.
Fig. 1.
Flowchart depicting Identification, screening and inclusion of the article.

Quality assessment

All the studies were of high quality, with scores 7 and 9 in six and four studies, respectively (Fig. 2 and 3).

Risk of bias assessed by the Newcastle-Ottawa quality assessment scale for case-control studies.
Fig. 2.
Risk of bias assessed by the Newcastle-Ottawa quality assessment scale for case-control studies.
Risk of bias assessed by the modified Newcastle-Ottawa quality assessment scale for a cross-sectional study.
Fig. 3.
Risk of bias assessed by the modified Newcastle-Ottawa quality assessment scale for a cross-sectional study.

Study characteristics

Among the 10 included studies, five were case-control, and five were cross-sectional in design. The total number of cases documented in the included studies was 541, of which 264 were males and 245 were females, respectively. Adenoid cystic carcinoma (ACC)10,14,16 and mucoepidermoid carcinoma (MEC)11,13 were found in three and two studies, respectively, and one each was associated with adenocarcinoma19 and squamous cell carcinoma of salivary glands17. The remaining three12,15,18 documented a combination of salivary gland malignancies. Tumour characteristics like histological grading and staging were documented in six1,10,12-14,16,19 studies, histological grading only in three cases11,17,18, and none reported clinical staging alone. Four studies included tumours of both11,12,16,18 minor and major salivary glands, while three14,17,19 and one13 study evaluated major and minor salivary gland malignancies, respectively. The follow up period was documented in five10,12,13,17,19 and recurrence was mentioned in three studies12,17,19. Expressions of SOX 2 and OCT-4 were individually assessed in six10,12,14,15-17 and one18 research articles, respectively, while two studies evaluated a combination of SOX2 and NANOG13,19 and only one study assessed OCT4 and NANOG11. None of the studies evaluated the individual expression of NANOG. All the studies supported the role of the studied markers as prognosticators and potential therapeutic targets.

Discussion

Cancer seeding and advancement are governed by a small subpopulation of self-renewing and differentiating oncogenic CSCs20. In salivary gland malignancies, characterisation of CSCs could provide a better insight into the pathobiology and aid in the development of more effective therapies. Thus, currently, squamous cell metaplasias (SCMs) are being investigated to identify CSCs, and their expression profile is correlated with the clinicopathological features21. Molecular and immunohistochemical markers are a boon for CSC research as they help to identify and isolate CSCs and explore the pathways of oncogenesis, thus, establishing a novel target for therapeutic purposes11.

The core transcription factors SOX-2, OCT4, and NANOG play an imperative role in the retention of the pluripotent ESC phenotype through self-controlling, feedback, and feed forward regulatory circuits22. These ESC biomarkers are reported to have a strong correlation with CSCs as both share specific tumour characteristics, and certain mutual molecular cross-talks might exist between the two celltypes19. Biomarkers SOX-2, OCT4, and NANOG independently and synergistically interact bringing transcriptional alteration in the genetic pathways. SOX2 and OCT4 have a common DNA-binding site, thus regulating the target genes by forming heterodimers. In addition, SOX2 keeps OCT4 expression at suitable levels23. Moreover, NANOG is an established target modulated by OCT4/SOX2; thus, a well-linked transcriptional control looped pathway has been recognised24. Furthermore, these proteins have been substantially related to EMT and various clinicopathological factors2. The early transcription factors can mediate tumour initiation, proliferation, differentiation, metastasis, relapse, and therefore, increased expression of studied proteins has been linked with worse prognosis and dismal outcomes in various human malignancies25. The elucidation of the molecular intricacies causing varied expression of CSC markers in salivary gland malignancies through additional clinical or experimental studies might help to substantiate these transcription factors as unique potential targets for predictive and therapeutic approaches26.

In salivary glands, the intercalated and excretory ducts are the locus for proliferating cells, and acinar components have a limited degree of proliferative ability, implying that a population of potent progenitor stem cells resides in the ducts10 SOX-2 protects CSCs against apoptosis and is significantly responsible for their longevity. Highly diverse expression patterns and correlation with clinicopathological outcome are suggestive of the distinctive role of SOX2 in individual tumours27. In salivary gland carcinomas, higher SOX2 expression indicates increased CSC activity and, therefore, could be a reliable marker for predicting and may be a potential therapeutic target requiring more aggressive therapy21. Dai et al10 in ACC observed poorer overall and disease-free survival with higher expression of SOX2. Higher expression of CD44 and SOX2 in primary squamous cell carcinoma and high-grade MEC suggests that therapies combining these markers might benefit the patients16. In addition, Xu et al13 stated that the amalgamation of biomarkers SOX2/CD44/CD133 has prognostic significance in the MEC of the palate. However, Sadeghi et al28 found a considerable link between higher grades of MEC and low SOX2 expression and poor outcomes in ACC patients. Luo et al16 reported significantly marked expression of SOX2 and surviving in ACC as compared to normal salivary gland tissues and stated that both markers are tissue-specific and may become salivary gland ACC oncogenes. They also observed increased SOX2 expression in the peripheral region of the tumour pointing towards invasive, aggressive, and malignant behaviour of the tumour. Bertlicha et al17 also found that elevated SOX-2 expression is associated with disease aggressiveness and a poorer prognosis. Thierauf et al14 postulated a context-dependent function and regulation of SOX2 in distinct malignancies.

Human adult stem cells, germ cells and ESCs express transcription factors OCT4 and NANOG with higher proliferative capacity leading to aggressive tumour biology29. The potential of NANOG and OCT-4 to act as a prognostic biomarker has been explored by researchers in the malignancies of salivary glands and other head and neck regions30. An association between the NANOG and OCT4 expression with perineural invasion, other histopathological features, and positive expression in ductal structures in MEC has been related to destructive behaviours and worst outcomes. In addition, tumour-initiating abilities and metastasis have been controlled by OCT4/NANOG signalling through EMT18. Higher OCT-4 expression in ACCs and MECs has been attributed to characteristics inherent to embryonic development through EMT29. However, Spiegel et al19 observed lower NANOG and SOX2 expression without any noteworthy association with survival estimates and stated that both markers have no prognostic value in salivary gland adenocarcinoma. Santos et al31 found raised expression of OCT-4 and SOX2 in lesions without myoepithelial differentiation and malignant behaviour. However, stromal immunoexpression of OCT4 was higher in malignant salivary gland tumours and was related to myoepithelial differentiation.

The present systematic review provides evidence for the higher expression of pluripotent CSC markers in malignant salivary gland tumours and their significant association with higher-grade and advanced-stage malignancies, although contradictory findings about therapeutic effectiveness were present. Therapeutic modalities of salivary gland malignancies are particularly challenging because of disease rarity and heterogeneity1. Poor prognosis and dismal median overall survival (OS) of 15 months and five-year OS rates of about 15 per cent have been seen in patients with recurrent or metastatic (R/M) disease32. Therefore, selectively targeting CSCs might hinder recurrence and metastasis of the tumour thereby improving outcome and patient’s quality of life16 . Experimental research has documented that induced pluripotent stem cells (iPS) could treat salivary gland tumours and restore glandular function33. The rationalisation of therapeutic strategies tailored to the patient’s specific cancer type and prognosis of R/M disease can be significantly improved by unravelling immunohistochemical expression profiles and mapping genomic variations in salivary gland malignancies, thus justifying and warranting biomarker-driven research34,35.

There were few limitations in this systematic review. The included studies in the present systematic review are retrospective and have used immunohistochemistry as a primary investigative tool, and paraffin-embedded tissues archived for longer periods could affect immunohistochemical expression of the markers. Most of the studies have smaller sample sizes because of the low incidence of certain salivary gland malignancies and the non-availability of clinical prospective trials. Studies used different therapeutic approaches that could be one of the confounding factors for clinical outcomes. The inability to conduct meta-analysis is one of the major limitations of the present systematic review because of the lack of relevant data about the expression profile of CSC markers with survival rates, grading, and clinical stages. In addition, the number of studies retrieved on specific salivary gland malignancies was less, making meta-analysis impossible. Another major constraint was the inability to explore heterogeneity due to a lack of relevant data. In addition, no access to some full-text articles, non-inclusion of studies in a language other than English, and some that failed to produce salivary gland malignancy-specific data could also result in publication bias.

Overall, in malignancies, substituting conventional treatments with more efficient options have been revolutionised by the emergence and detection of CSCs by specific biomarkers with a deep influence on the expansion of molecular therapeutic strategies. SOX2, OCT-4, and NANOG have been proven as prognosticators in salivary gland malignancies, with a definite role in tumour biology. The selective targeting and unravelling of tumorigenic CSCs, genetic alterations, and protein expression profiles of salivary gland malignancies could rationalise treatment modalities tailored to the patient’s tumour.

Financial support & sponsorship

None.

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.

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