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Journal of Oral and Maxillofacial Pathology : JOMFP logoLink to Journal of Oral and Maxillofacial Pathology : JOMFP
. 2020 Sep 9;24(2):293–307. doi: 10.4103/jomfp.JOMFP_348_19

Genetic predisposition and prediction protocol for epithelial neoplasms in disease-free individuals: A systematic review

J Gowthami 1, N Gururaj 1,, V Mahalakshmi 1, R Sathya 1, T R Sabarinath 1, Daffney Mano Doss 1
PMCID: PMC7802851  PMID: 33456239

Abstract

Background:

Epithelial neoplasm is an important global health-care problem, with high morbidity and mortality rates. Early diagnosis and appropriate treatment are essential for increased life survival. Prediction of occurrence of malignancy in a disease-free individual by any means will be a great breakthrough for healthy living.

Aims and Objectives:

The aims and objectives were to predict the genetic predisposition and propose a prediction protocol for epithelial malignancy of various systems in our body, in a disease-free individual.

Methods:

We have searched databases both manually and electronically, published in English language in Cochrane group, Google search, MEDLINE and PubMed from 2000 to 2019. We have included all the published, peer-reviewed, narrative reviews; randomized controlled trials; case–control studies; and cohort studies and excluded the abstract-only articles and duplicates. Specific words such as “etiological factors,” “pathology and mutations,” “signs and symptoms,” “genetics and IHC marker,” and “treatment outcome” were used for the search. A total of 1032 citations were taken, and only 141 citations met the inclusion criteria and were analyzed.

Results:

After analyzing various articles, the etiological factors, clinical signs and symptoms, genes and the pathology involved and the commonly used blood and tissue markers were analyzed. A basic investigation strategy using immunohistochemistry markers was established.

Conclusion:

The set of proposed biomarkers should be studied in future to predict genetic predisposition in disease-free individuals.

Keywords: Basic investigation, biomarker, blood markers, disease-free individual, epithelial neoplasm, genetic predisposition, immunohistochemical marker

INTRODUCTION

Epithelial neoplasm is an important global health-care problem, with high morbidity and mortality rates.[1] Cancer is a polygenic disease which shows several epigenetic factors influenced by genetic predisposition with resultant DNA damage and genomic instability. The clinical diagnosis of any epithelial malignancies depends on the signs and symptoms related to the organs affected.[2,3] The histopathology remains the gold standard in diagnosing the disease, but immunohistochemistry is also required not only for diagnosis but also for treatment in case of undifferentiated tumors. Moreover, the overall survival rate is contingent upon staging and grading of the tumor.[5,6,7] Diagnosing at an advanced stage of the disease makes the removal of tumors difficult and therefore, early detection methods and prevention strategies are essential to reduce cancer mortality.

The American Society of Clinical Oncology recommends genetic counseling and testing in the setting of pre- and post-test counseling, which should include the discussion of possible risks and benefits of early detection of malignancies and prevention modalities.[5,7] Carriers of mutations may be detected through laboratory analysis of the genetic structure of the blood and the tissue with the assistance of biomarkers.

None of the cancer susceptibility tests currently available is as yet appropriate for screening of asymptomatic individuals, however identification of a mutation in an affected member of the family may influence medical management and can be used as a critical baseline in the testing of other family members.[8,9] Thus, the aim of this review is to analyze and summarize the results of published studies and to identify and introduce an investigation protocol for epithelial malignancies using feasible molecular markers in a disease-free individual to predict genetic predisposition.

MATERIALS AND METHODS

This systematic review was conducted in harmony with Preferred Reporting Items for Systematic reviews and Meta-Analyses Statement Criteria (Moher, Liberati, Tetzlaff, Altamn and PRISMA Group, 2010) [Figure 1].

Figure 1.

Figure 1

Flowchart for the systematic review

Inclusion criteria

In this review, we included the full papers; English literature which were published after 2000; all peer-reviewed articles; observational studies such as cohort, case–control and retrospective studies; and all the articles which used both tissue and blood as a source of biomarkers for the diagnosis and prognosis of various epithelial neoplasms. We included those articles which used blood biomarker to predict the epithelial neoplasm.

Exclusion criteria

All the duplicates and abstract-only articles were excluded. Articles which used markers only to diagnose epithelial neoplasm were also excluded.

Sources, search strategy and study selection

Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects (DARE) on Cochrane Library and Centre for Reviews and Dissemination (CRD), EMBASE, MEDLINE, SCI-EXPANDED, PUBMED and PUBMED CENTRAL were searched to identify the records pertaining to this review.

The search strategy is summarized in Table 1. The eligibility of this study was individually assessed in an unblinded manner by two reviewers. In the first phase of this review, all the databases were screened by the title and abstract; in the second phase, each article was read fully by each other. If discrepancies were found, they were corrected by another observer, if any.

Table 1.

Systematic review search strategy for PubMed, Embase and Cochrane

Database Keyword and search method
PubMed Epithelial neoplasm AND etiologic factors
Epithelial neoplasm AND clinical feature
Epithelial neoplasm AND genetic predisposition
Epithelial neoplasm AND biomarkers
Epithelial neoplasm AND blood markers
Pathology AND genes involved
Embase Head and neck cancer AND blood markers
Lung cancer AND blood markers
Breast cancer AND blood markers
Colorectal cancer AND blood markers
Cancer of female reproductive tract AND blood markers
Cancer of male reproductive tract AND blood markers
Thyroid cancer AND blood markers
Pancreas cancer and blood markers
Head and neck cancer AND tissue markers
Lung cancer AND tissue markers
Breast cancer AND tissue markers
Colorectal cancer AND tissue markers
Cancer of female reproductive tract AND tissue markers
Caner of male reproductive tract AND tissue markers
Thyroid cancer AND tissue markers
Pancreas cancer and tissue markers
Cochrane Head and neck cancer AND genetic predisposition
Lung cancer AND genetic predisposition
Breast cancer AND genetic predisposition
Colorectal cancer AND genetic predisposition
Cancer of female reproductive tract AND genetic predisposition
Cancer of male reproductive tract AND genetic predisposition
Thyroid cancer AND genetic predisposition
Pancreas cancer and genetic predisposition

Data extraction and management

The data which were included in this review such as etiological factors, clinical signs and symptoms, diagnostic criteria, genetic predisposition, blood biomarkers, prognostic markers and immunohistochemical tissue markers were checked and reviewed by the authors. The observations were extrapolated and entered on a customized data collection format, which were tabulated in Tables 24. The collected data were independently analyzed by each author.

Table 2.

Etiological factors and clinical signs and symptoms

Criteria Head-and-neck cancer Colorectal cancer Breast cancer Liver cancer Bladder cancer Pancreatic cancer Cancer of female reproductive tract: cervical, uterine, ovarian Cancer of male reproductive organ: prostrate testis Lung cancer Thyroid cancer Gatrointestinal cancer Skin cancer
Author details Saleh K, Joshi P, Dutta, Shaw R, Perdomo S, Macfarlane T V, Omar EA Rosa M De, Boelens PG, Granadosro, Mero JJ Buechler SA, Ye Z, Wang C, Mansfield CM Sharifi J, Chen W, Mohammadian M, Waller LP, Badvie S. Sia D, Edmondson AJ, Pasin E, Barbosa LA, Metts MC, Soubra A, Shephard EA Malhotra L, Be C, Earl F, Mcguigan A, Factors R, Darmawan G Moscicki A, Ramesh N, Cline JM. Wentzensen N, Hedayatizadeh- omran A, Herbst L. markers, Flake GP Weiderpass E Tvrda E, John R.Giudicessi Factors R, Cooley ME. Holgate ST, Ganie F Latimer KM, Nguyen QT, Management C. Yusefi AR, Factors R, Patients FOR. Bax MJ, Johnson TM, Rastrelli M, Das P Melanoma C, Cancer S, Found B
Etiological factors HPV Fungal infection Sharp teeth Family history Smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D Red meat consumption Processed food NSAIDS Family history Smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D Hormonal factors Young-age menarche Regular/irregular menstrual cycle Older age menopause Oral contraceptives Family history, smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D Chronic hepatitis with advanced fibrosis/cirrhosis Hereditary hemochromatosis Alpha-1 antitrypsin deficiency Porphyria’s Fatty liver disease Wilson’s disease Glycogen storage disease Tyrosinemia type I Hereditary telangiectasia Hypercitruelimia Aflatoxin exposure Polyvinyl chloride Carbon chloride Family history Smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruits and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D Cooking in fumed wood Industrial carcinogen: aromatic amines, azodyes Gasoline exhaust Methenamine vapor Drugs: cyclophosphamide, chloromethane, phenacetin, nitrosamines Chlorinated water Hair dyes Saccharine’s HSV infection Family history Smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D Exposure to pollutants Chronic pancreatitis disease Gall stones Pylori Family history Smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D HPV HSV Family history, smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D Selenium Androgens Vasectomy Family history Smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D Air pollution Radon gas Asbestos Family history Smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D X-rays Radioactive iodine Hypo- and hyper-thyroidism Family history Smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D HPV Pylori HPV 16 and 18 Acid and bile reflux Increase in salt intake Polyaromatic hydrocarbons Family history Smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D Serious blistering sun burns UV radiation Family history Smoking, diabetes, alcohol consumption, obesity, decreased physical activity, decrease in fruit and vegetable consumption, decrease in the consumption of dairy products, decrease in the consumption of folate, fibers and Vitamin D
Clinical signs and symptoms Red/whitish patch Ulcero proliferative growth, Lump/mass without pain Hoarseness Frequent epistaxis Difficulty in breathing Double vision Difficulty in chewing/swallowing Polyp- inner lining of the colon/rectum Bleeding from the rectum Blood in stool after the bowel movement Cramping in the lower abdomen Urge for bowel emptying Constipation and diarrhea last for few days Decrease in appetite Weight loss Lump in the breast Painful Nipple Nipple discharge: blood discharge Hepatitis/cirrhosis Large tumors may cause abdominal pain Malaise Weight loss Fatigue Fullness Jaundice Paraneoplastic syndrome Hypercalcemia Hormonal imbalance GIT/esophageal bleeding Hematuria Changes in the bladder habit Urinate more often Pain during urination Bladder fullness Weak urine stream Unable to urinate Lower back ache Swelling in the feet Nausea Vomiting Bloating Steatorrhea Abdominal pain Weight loss Jaundice Ascites Gastrointestinal bleeding Hepatomegaly Back pain Edema in the lower extremity Uterine bleeding Irregular postmenopausal bleeding Dysuria Bloating Difficulty in urinating Prostrate hypertrophy Back pain Hemoptysis Gynecomastia Fatigue Labored breathing Persistent cough Decreased appetite Hoarseness of voice Wheeze, Stridor pneumonia Nodule single/multiple Dyspepsia Dyspnea Hoarseness Cervical lymphadenopathy Nausea Vomiting Bleeding Ulcer Weight loss Steatorrhea Abdominal pain Bloating Dysphagia Dyspepsia Irregularity of the mole Blurred/ragged edges Alteration in the pigmentation Increase in the size and shape of the mole Itching/tenderness of the mole Pain and Swelling of the lymph nodes
Diagnosis Stage I Stage I Stage I Stages II and III Stage I Stages III and IV Stages I and II Stages I and II Stages I and II Stages I and II Stage I Stages I and II

HPV: Human papillomavirus, HSV: Herpes simplex virus, NSAIDS: Nonsteroidal anti-inflammatory drugs, UV: Ultraviolet, Pylori: Helicobacter Pylori, GIT: Gastrointestinal tract

Table 4.

Markers used by authors for various types of epithelial neoplasms

Author details Markers Type of specimen Detection
Biaogeng et al. CA 15-3 CEA Serum Breast cancer and its subtypes
Dorit laessig1 et al. CA 15-3 CEA Serum Breast cancer and its subtypes
Alireza Abdullahi et al. ER PR Tissue (IHC) Breast cancer and its subtypes
P53
HER 2
Valentina Guarneri et al. HER 2 Tissue (IHC) Breast cancer and its subtypes
Grazia Carpino et al. HER 2 Tissue (IHC) Breast cancer and its
HER 1 subtypes
Seyedabbasmirmalek et al. HER 2 P53 Hormone receptor Tissue (IHC) Breast cancer and its subtypes
Michael j. Duffy CA 15-3 Serum Breast cancer and its
BR 27.29 subtypes
CEA
TPA
TPS HER-2
Catherine e. Bond et al. BRAF Tissue Colorectal cancer
Michael j. Duffy CEA Serum Colorectal cancer
John h. Bond, MD FOBT Blood Colorectal cancers
Alyssa M. Krasinski’s EGFR Blood Colorectal cancers
KRAS
BRAF (genes)
PIK3CA
Gadepalli et al. EGFR Blood Colorectal cancers
Chan dihedral EGFR Blood Colorectal cancer
Jincheng et al. ALK AND its inhibitor Blood Lung
Gilda da concha santos EGFR Blood and tissues (IHC) Lung
Fernando c. Santini et al. PD1 Blood and tissues (IHC) Lung
D.Ed. Meyers et al. PD-1/PD-L1 AXSIS Blood Lung
Oliver Dorigo et al. CA125 Blood Ovarian
T van Gore et al. HE4 CA 125 Blood Ovarian
John o. Scourge et al. OPN Blood Ovarian
Lalita a. Shaved et al. OPN Blood Ovarian
J. L. Humphries et al. CA19.9 Serum Pancreas
Ewe karna et al. IGFR I Serum Pancreas
IGF
R.talar-wojnarowska et al. VEGF Serum Pancreas
Leonard s. Marks et al. PCA3 Blood Prostrate
Dragan Iliac et al. PSA Blood Prostrate
Ji-fan lin et al. MICRO RNA Blood Bladder cancer
Weige tan et al. MICRO RNA25 Blood Gastric cancer
P57
José marrugo et al. Heat shock proteins Blood All cancers
Edward r. Sauter Hormone receptor status Tissue All cancer
CK
HER2
Ki67
Oncotype Dx
MammaPrint
Kiran Dahiya et al. Chemokine receptor Tissue/saliva Head and cancer
MMP
HPV
Interleukin MicroRNA
MAGE
Actin and myosin
Esam Ahmad Omar ZEB1, ZEB2 Blood Head and cancer
KRAS
PTEN
P21
miRNA
Saleh Daher et al. miR-122 Blood Liver cancer
RASSF1A
Histone-modifying genes
Daniela Sia et al. KRAS Tissue/blood Liver cancer
TP53
EGFR
BRAF
David Weinstein, md et al. Melan-A, BUB1 and CD 63 RREB1 (6p25), MYB (6q23), Cep6 (Centromere Tissue/blood Melanoma
6), CDKN2A (9p21), RREB1 (6p25), MYC (8q24)
Su yin lim et al. BRAF Tissue/blood Melanoma
CXCL3
VEGF
Xiliangwang et al. THCA Blood Thyroid cancer
TSHR
TTF
Buddhike Sri Harsha Indrasena Thyroglobulin Blood Thyroid cancer

CA: Cancer antigen, CEA: Carcinoembryonic antigen, ER: Estrogen receptor, PR: Progesterone receptor, p53: Tumor suppressor, HER: Heregulin, TPA: Serum tissue polypeptide antigen, TPS: Tissue polypeptide-specific antigen, BRAF: Proto-oncogene B-Raf and v-Raf murine sarcoma viral oncogene homolog B, FOBT: The fecal occult blood test, EGFR: Epidermal growth factor receptor, KRAS: Kirsten rat sarcoma viral oncogene homolog, PIK3CA: Phosphatidylinositol 3-kinase, ALK: Anaplastic lymphoma kinase, PDL1: Programmed death-ligand 1, HE4: Human epididymis protein 4, OPN: Osteopontin, IGFR: Insulin-like growth factor receptor, VGEF: Vascular endothelial growth factor, MMP: Matrix metalloproteinase, MAGE: Tumor-specific antigen, ZEB: Zinc finger E-box binding homeobox, PTEN: Phosphatase and tensin homolog, BUB: Mitotic checkpoint protein, MYC: Basic helix-loop-helix protein, THCA: Tetrahydrocannabinol acid, TSHR: Thyroid-stimulating hormone receptor, TTR: Transthyretin, CA 15-3: Cancer antigen 15-3, UV: Ultraviolet

Risk of bias and quality assessment of studies

The quality and the nature of the article were reviewed by the authors using modified Ottawa scale. After completing the data extraction, it was evaluated by the third author.

RESULTS

Author details, etiological factors and clinical signs and symptoms of the various epithelial neoplasms are tabulated in Table 2.[11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149]

The genes and the pathology involved in the various epithelial neoplasms are tabulated in Table 3.[11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149]

Table 3.

Genes and pathology involved in various epithelial neoplasms

Tumor Author details Pathology Genes involved
Head-and-neck cancer Major AG, Mehrotra R, Hoffmann F, Suh Y, Jou A, Patil DB, Owusu-afriyie O, Yi C, Dahiya K, Negi M TP 53 Rb 17 LOH P169pLOH
Colorectal cancer Soyano AE, Kanik P APC -5q21-22 P16
Mismatch MSH 2, MSH3, MLH1 P15
PMS 1 BUB 1
MSH 6 Cyclin D1
MMP
E-cadherin
CD44
Breast cancer Hou L, Myp C, Sporikova Z LOH at multi loci Ki67
BRCA1 MIB 1
BRCA 2 Topoisomerase
Estrogen receptor - positive histone H3
P53 mutation TGF alpha, beta
Heterozygosity ATM EGF
P53 P53
cerbB2 Caspases
BCL surviving
P21
CD31,44, VGEF
Brca1
Liver cancer Daher S Adenomatous hyperplasia Aflatoxin B1
Alpha-fetoprotein P53
Cyclin D
KRAS
Beta-catenin
Bladder cancer Soubra A, Xiao X, Koyuncuer A, Mutation - NAT2 gene 9- LOH
Weyerer V, Ogawa O, Inamura K, GSTM - detoxification Cyclin D
Ifeanyi OE ERBB 2 Partial loss of chromosome 9 VGEF P53
P16 RB
P15 PDECGF
P53
Pancreatic cancer Duffy MJ, Goonesekere NCW, BRCA2 KRAS
Zapata M, Smith RA, Loosen SH, P16 MYB
Hamada S, Malati T STK1 AKT2
LKB1 AIB1
Mutation of trypsinogen gene - 7q35 ERBB2
P16
P53
DPC4
BRCA2
MKK4
MAH 2
MLH1
Gastrointestinal cancer Pietrantonio F, Matthews LHM, Wang C, Tan C, Visser E, Wang CAG gene mutation E-cadherin mutation KRAS C-MET
YI LOH 1q3p, 5q, 6q, 7q, 9p, 17p C-ERBB2
P53 CYCLIN D
AT CG mutation APC
Cyclin D P53
HST1 Cadherin and cantenin
HST2
EGFR CD44 translocation
Myc-polymorphism P53
APC
FHIT
CDKN2A
CD95
FAS
EGFR
C-ERBB2
UPA
KI67 RAB1
Skin cancer Weinstein D, An I, Harman M, Lim SY, He T, Soumya D Loss of function of melanocortin receptor1 CDK1 MC 1P
Cdkn2a mutation P53
P16 MYC
CDK 4
CDKN2
PTEN-1p, 6q, 7p, 11q
P53
Myc
BRAF
Cancer of female reproductive tract: cervical, uterine, ovarian Dong X, Prat J, Wang T Rein BJD CIN 1,2,3,4 HPV
Diploid/polypoid associated with HPV FHIT
c-myc P53
N-MYC KRAS
KRAS MYC
FHIT LOH-3P
CYT P141 PTEN
C-ERBB2 BRCA
PTEN P16
LOH 3P Cyclin D1
E-cadherin
CD44
Cancer of male reproductive Nagirnaja L, Achermann JC P53 BCL2 LOSS of 8P21 NKX 3.1
organ: Prostrate testis Mutation IN X chromosome 1P 10Q
Iscero 12P 13Qrb
Cyclin D P53
Lung cancer Inamura K Cheng L, Travis WD Polymorphism of cytochrome p450 gene P53 KRAS
P 53 mutation CDKN2a
Point mutation-KRAS P16
FHIT (fragile histidine triad) 3p LOH 3p
14.2- preneoplastic lesion FHIT
Homozygous deletion and silencing methylation in CDK inhibitors p16ink
Thyroid cancer Thapa J MEN type 2A TSH
Abdullah MI, Nosé V RET proto-oncogene RAS
Li X, He J Mutation of PTC 1, 2, 3 LOH 3P PAX 8
PTEN
P53
RET/PTC
TRK
BRAF
MFT

TP 53: Tumor suppressor gene, LOH: Loss of heterozygosity, P16: Cyclin-dependent kinase inhibitor 2A, APC: Adenomatous polyposis coli, MSH: Mut S protein homolog, MLH-1: Mut L protein homolog 1, PMS 1: Protein homolog 1, BUB: Budding uninhibited by benzimidazole 1, MMP: Matrix metalloproteinases, P15: Multiple tumor suppressor gene, CD 44: Cell surface glycoprotein, cell-cell interactions, BRCA: Breast cancer gene, ATM: Ataxia-telangiectasia mutated, cerbB2: Receptor tyrosine-protein kinase erbB-2, BCL: B-cell lymphoma, ki67: Nuclear protein associated with cellular proliferation, MIB: E3 ubiquitin-protein ligase, TGF: Transforming growth factor, P21: Potent cyclin-dependent kinase inhibitor, CD 31: Platelet endothelial cell adhesion molecule, NAT: N-acetyltransferase, GSTM: Glutathione S-transferase Mu 1, KRAS: Kirsten rat sarcoma viral oncogene homolog, RB: Retinoblastoma, PDECGF: Thymidine phosphorylase, STK: Serine/threonine kinase family, LKB: Liver kinase B1, MYB: Myeloblastosis, AKT: Protein kinase B, AIB: Transcription factor ABA-inducible bHLH-TYPE, DPC4: Deleted in pancreatic cancer-4, MKK: Mitogen-activated protein kinase, MYC: Proto-oncogene BHLH transcription factor, HST: Human gene nomenclature, CDK: Cyclin-dependent kinase, CAG: Cytosine-adenine-guanine, C-MET: Tyrosine-protein kinase, CD 95: Apoptosis antigen 1, FAS: Cell surface death receptor, FHIT: Human accelerated region 10, UPA: Urokinase-type plasminogen activator-Ras-related in brain, BRAF: Raf murine sarcoma viral oncogene homolog B, PTEN: Phosphatase and tensin homolog, MEN: Multiple endocrine neoplasia type, RET: Rearranged during transfection, PAX: Paired box, TMFTRK: Tropomyosin receptor kinase A, MFT: phosphatidylethanolamine-binding protein

The biomarkers used by authors for the various epithelial neoplasms are shown in Table 4.[11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149]

DISCUSSION

Cancer is a multistep process, which involves genetic and epigenetic factors responsible for its occurrence.[10] The etiopathogenesis of cancer can be divided into:[4]

  1. Unmodifiable intrinsic risk which refers to inevitable spontaneous mutations (inherited) that arise as a result of DNA replication

  2. Nonintrinsic risk which refers to:

    1. Modifiable exogenous/external factors (e.g., carcinogens, viruses and xenobiotic) and lifestyle factors (e.g., smoking, hormone therapy, nutrient intake and physical activity) that are exogenous to the host; and
    2. Endogenous factors that are partially modifiable and related to the characteristics of an individual (e.g., immune, metabolism, DNA damage response and hormone levels) and influence the key aspects of cell growth control and genome integrity.

The exposure to various epigenetic factors initially results in repairable DNA damage and upon continuous exposure to epigenetic factors and/or a genetic predisposition may lead to irreparable mutated cell and malignancy.[150] In this review, the etiology, clinical signs and symptoms, genes and the pathology involved and various tissue and blood markers of epithelial neoplasms were analyzed to arrive at an investigation protocol for disease-free individuals.

The analysis of the results of the study showed that though there are common etiological factors involved in the occurrence of various epithelial malignancies such as smoking, alcoholism and HPV, there are certain specific factors that influence the occurrence of malignancies in relation to a particular region or system involved. It was also observed that the usual clinical presentation of epithelial malignancies was a lump or ulceroproliferative growth. However, depending on the region or system involved, the clinical signs and symptoms vary from one another. A derivation of the specific etiological factors and clinical signs and symptoms of various epithelial neoplasms is tabulated [Table 5]. Usually, the signs and symptoms occur as a precancerous lesion initially and upon continuous insult, it progresses to malignancy. The genetic predisposition definitely influences the potential role of epigenetic factors in the development of cancer by inducing mutations that result in changes from normal mucosa to various grades of dysplasia to malignancy.[151]

Table 5.

Specific etiological factors and clinical signs and symptoms of the epithelial neoplasms

Criteria Head-and - neck cancer Colorectal cancer Breast cancer Liver cancer Bladder cancer Pancreatic cancer Cancer of female reproductive tract: cervical, uterine, ovarian Cancer of male reproductive organ: prostrate testis Lung cancer Thyroid cancer Gatrointestinal cancer Skin cancer
Specific etiological factors HPV Fungal infection Sharp teeth Red meat consumption Processed food
NSAIDS
Hormonal factors Young-age menarche
Regular/irregular menstrual cycle
Older-age menopause
Oral contraceptives
Chronic hepatitis with advanced fibrosis/cirrhosis
Hereditary hemochromatosis
Alpha-1 antitrypsin deficiency
Porphyria’s
Fatty liver disease
Wilson’s disease
Glycogen storage disease
Tyrosinemia type I
Hereditary telangiectasia
Hypercitruelimia
Aflatoxin exposure Polyvinyl chloride
Carbon chloride
Cooking in fumed wood
Industrial carcinogen: aromatic amines, azodyes
Gasoline exhaust
Methenamine vapor
Drugs:
Cyclophosphamide, chloromethane, phenacetin, nitrosamines
Chlorinated water
Hair dyes
Saccharine’s
HSV infection
Exposure to pollutants
Chronic pancreatitis disease
Gall stones
Pylori
HPV
HSV
Selenium
Androgens
Vasectomy
Air pollution
Radon gas
Asbestos
X rays
Radioactive iodine
Hypo- and hyper- thyroidism
HPV
Pylori
HPV 16 and 18
Acid and bile reflux
Increase in salt intake
Polyaromatic hydrocarbons
Serious blistering sun burns
UV radiation
Specific clinical signs and symptoms Red/whitish patch
Ulcero proliferative growth,
Lump/mass without pain
Hoarseness
Bleeding from the rectum
Blood in stool after the bowel movement
Cramping in the lower abdomen
Lump in the breast
Painful nipple and discharge
Hepatitis/cirrhosis
Large tumors may cause abdominal pain
Malaise
Weight loss
Hematuria
Changes in the bladder habit
Urinate more often
Pain during urination
Nausea
Vomiting
Bloating
Steatorrhea
Back pain
Edema in the lower extremity
Difficulty in urinating
Prostrate hypertrophy
Labored breathing
Persistent cough
Decreased appetite
Hoarseness of voice
Wheeze, stridor
Nodule (single/multiple)
Dyspepsia
Dyspnea
Nausea
Vomiting
Bleeding
Ulcer
Dysphagia
Dyspepsia
Irregularity of the mole
Blurred/ragged edges
Alteration in the pigmentation
Diagnosis Stage I Stage I Stage I Stages II and III Stage I Stages III and IV Stages I and II Stages I and II Stages I and II Stages I and II Stage I Stages I and II

UV: Ultraviolet

The lesions were able to be diagnosed clinically when it occurs in the oral cavity and cervical regions. However, lesions in other hidden areas were diagnosed using computed tomography, magnetic resonance imaging and endoscopic procedures. The authors have used histopathology as a gold standard method in diagnosing all the lesions and immunohistochemistry for diagnosing undifferentiated tumors as well as treatment planning. The authors have also used various markers in tissues and blood using different methods to diagnose the lesions. A derivation of the different tissue and blood markers used by various authors is tabulated [Table 6].

Table 6.

Tissue and blood markers and their method of detection for various epithelial neoplasms

Tumor Tissue markers Blood markers Method of analysis
Head-and-neck cancer KERATINS AFP, CEA, pancreatic oncofetal antigen 2. Immunoassay
EMA CA125, CA19-9, CA15-3 Immunohistochemistry, PCR
TPA Beta-human chorionic gonadotropin ELISA
Vimentin and desmin calcitonin
MMPS Albumin
BMA
P16
P53
MAC
Interleukin-1ALPHA
Endothelins
CD 44
Colorectal cancer Microsatellite instability: MMR genes, Microsatellite instability: MMR genes, PCR
MSH2, MLH1, MSH6 and PMS2 MSH2, MLH1, MSH6 and PMS2 ELISA
KRAS, EGFR, NRAS IGFBP2 PCR
BRAF, PTEN, PIK3CA, ERCC-1 Telomerase ELISA
S100A2 protein PKM2 PCR
Ezrin, P53, cyclooxygenase-2, 18q, LOH and TNIK IHC PCR, IHC, ELISA
IHC
Breast cancer ER, PR CA 15.3 Immunoassay
HER2 CA 27.29 Immunohistochemistry
CA 15-3 CA125
Oncotype DX CEA
MammaPrint Circulating tumor cells
up A/PAI-1 Human epididymis protein 4
Ki67 Cyclin E
Cathepsin D
up A
Leptin
PAI-1
P53
CA 15-3
Liver cancer GPC3 AFP Immunoassay
GPC3+heat shock protein CEA Immunohistochemistry
Ki-67 Ferritin GENETIC MARKER
MIB-1 α1-antitrypsin PCR, ELISA
E-cadherin α1-acid glycoprotein
β-catenin Osteopontin
Plasma glutamate carboxy-peptidase, Aldolase A
phospholipases A2 G13 and G7 and other CK18,
cDNA microarray-derived encoded proteins CK19,
Melanoma antigen gene 1, 3; synovial TPA,
sarcoma on X chromosome 1, 2, 4, 5; TPS
sarcoplasmic calcium-binding protein 1; Circulating free squamous cell carcinoma antigen-IgM complexes
Bladder cancer CKs 19 HCE BETA Urine markers - immunoassay
Survivin CEA immunohistochemistry
Telomerase NMP22
BCLA 4 BTA Stat 2
Microsatellite BTA Trak
FGFR 3 NMP22
Hyaluronic acid
Hyaluronidase
Pancreatic cancer Human equilibrative nucleoside transporter CA19-9 Immunoassay
1 CEA Immunohistochemistry
MICRO RNA MUC-4
P16 MUC-1
P53 CEACAM1
TELOMERASE MIC1
S100 P CTC
Stomach cancer CKs CA19-9 Immunoassay
CYFRA 21.1, TPA, TPS CEA Immunohistochemistry
β Subunit of HCG CA72-4
Esophageal cancer HER2 BRAF Immunohistochemistry,
PDL1 CA19-9 PCR
CEA ELISA
Melanoma MT DNA S-100 Immunoassay
BRAF Immunohistochemistry
Cancer of female M-CSF SCC IMMUNOASSAY, ELISA
reproductive tract: HE4 CEA Immunohistochemistry
cervical, uterine, SAA AFP
ovarian CA15-3
CA125
Cancer of male PSA PSA Immunoassay
reproductive organ: prostrate testis PHI 4KSCORE AFP HCG-BETA Immunohistochemistry
Lung cancer NCAM, IL-2R, IGF-I, transferrin, ANP, CEA Immunoassay, PCR, ELISA
mAb (cluster 5), CYFRA 21 SCC Immunohistochemistry,
ALK PCR, ELISA
CYFRA 21-1
Thyroid cancer Galectin Calcitonin Immunoassay
BRAF CEA Immunohistochemistry,
Thyroglobulin PCR

PCR: Polymerase Chain Reaction, IHC: Immunohistochemistry, ELISA: Enzyme-linked immunosorbent assay, CA: Cancer antigen, CEA: Carcinoembryonic antigen, ER: Estrogen receptor, PR: Progesterone receptor, p53: Tumor suppressor, HER: Heregulin, TPA: Serum tissue polypeptide antigen, TPS: Tissue polypeptide-specific antigen, BRAF: proto-oncogene B-Raf and v-Raf murine sarcoma viral oncogene homolog B, FOBT: The fecal occult blood test, EGFR: Epidermal growth factor receptor, KRAS: Kirsten rat sarcoma viral oncogene homolog, PIK3CA: Phosphatidylinositol 3-kinase, ALK: Anaplastic lymphoma kinase, PDL1: Programmed death-ligand 1, HE4: Human epididymis protein 4, OPN: Osteopontin, IGFR: Insulin-like growth factor receptor, VGEF: Vascular endothelial growth factor, MMP: Matrix metalloproteinase, MAGE: Tumor-specific antigen, ZEB: Zinc finger E-box binding homeobox, PTEN: Phosphatase and tensin homolog, BUB: Mitotic checkpoint protein, MYC: Basic helix-loop-helix protein, THCA: tetrahydrocannabinol acid, TSHR: Thyroid-stimulating hormone receptor, TTR: Transthyretin, GPC: Glypican, MIB: Cellular marker for proliferation, BTA: Bladder tumor antigen, HCG: Human chorionic gonadotropin, CYFRA: Cytokeratin fragment, PHI: Prostate Health Index, 4KSCORE: Kallikrein markers, ANP: Natriuretic peptide, SCC: Squamous cell carcinoma antigen, CK: Cytokeratin’s, PSA: Prostate specific antigen, AFP: Alpha-fetoprotein, PKM2: Pyruvate kinase M2, IGFBP2: Insulin-Like Growth factor binding protein 2, LOH: Loss of Heterozygosity, TNIK: NICK-interactive kinase, PAI-1: Plasminogen activator inhibitor 1, up A: Urokinase plasminogen activator

With the help of the above derivations, the most commonly used blood markers were analyzed and tabulated to arrive at a prediction protocol [Table 7]. This investigation protocol involving various biomarkers is proposed in this review to predict genetic predisposition and/or chances of occurrence of malignancy in a disease-free individual. We propose that the markers suggested should be tested in every individual with a strong family history or persons with strong association of various epigenetic etiological factors without the disease. Though the limitations of our proposal will be cost factor and lack of confirmatory evidence, this is the first kind of proposal given here to predict genetic predisposition in a disease-free individual.

Table 7.

Proposed investigation protocol

Tumor Blood markers
Head-and-neck cancer SCC antigen
CA 125
CEA
DNA ploidy
Lung cancer FHIT
ALK
Colorectal cancer MLH 1, PTEN, MSH 2, MSH 6, MMR, KRAS
Male reproductive PSA
system PHI
Bladder cancer HCG BETA, CEA, NMP22
Pancreatic cancer CA19-9
Liver cancer Alpha-fetoprotein, ERCC1
Thyroid cancer Thyroglobin
Breast cancer BRAC1, HE4, MIF, leptin, OPN, CA 125, p53
Female reproductive system Microsatellite, P53, beta cantenin, PTEN, HER2/NEU, KRAS
Stomach cancer CA 72-4
Esophageal cancer CEA
PDL1
Skin cancer BRAF

CA: Cancer Antigen, CEA: Carcinoembryonic antigen, ER: Estrogen receptor, PR: Progesterone receptor, p53: tumor suppressor, HER: Heregulin, BRAF: Proto-oncogene B-Raf and v-Raf murine sarcoma viral oncogene homolog B, EGFR: Epidermal growth factor receptor, KRAS: Kirsten rat sarcoma viral oncogene homolog, PIK3CA: Phosphatidylinositol 3-kinase, ALK: Anaplastic lymphoma kinase, PDL1: Programmed death-ligand 1, HE4: Human epididymis protein 4, OPN: Osteopontin, PTEN: Phosphatase and tensin homolog, HCG: Human chorionic gonadotropin, CYFRA: Cytokeratin fragment, PHI: Prostate Health Index, SCC: Squamous cell carcinoma antigen, PSA: Prostate-specific antigen, AFP: Alpha-fetoprotein., FHIT: Fragile histidine triad

CONCLUSION

This review summarizes the different aspects of the epithelial neoplasm of various systems of our body based on the literature published. It is clear that cancer is an urgent global challenge and needs a definite measure to scale up prevention, early detection and diagnosis, treatment and care services. The analysis of various articles reveals the basic pathology, its genetic involvement, etiology, clinical symptoms and various diagnostic modalities of the epithelial neoplasm of the body, which are essential for any individual who deals with diagnosis or treatment or research in the field of oncology. Thus, the markers identified following the analysis of scientific facts behind a cancer may be helpful in predicting the genetic predisposition in a disease-free individual. It should be studied in a large scale either system wise or organ specific wise in future to confirm its specificity and sensitivity.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

REFERENCES

  • 1.Rivlin N, Brosh R, Oren M, Rotter V. Mutations in the p53 Tumor Suppressor Gene: Important Milestones at the Various Steps of Tumorigenesis. Genes Cancer. 2011;2:466–74. doi: 10.1177/1947601911408889. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Nagai H, Kim YH. Cancer prevention from the perspective of global cancer burden patterns. J Thorac Dis. 2017;9:448–51. doi: 10.21037/jtd.2017.02.75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Hamdi Y, Boujemaa M, Ben Rekaya M, Ben Hamda C, Mighri N, El Benna H, et al. Family specific genetic predisposition to breast cancer: Results from Tunisian whole exome sequenced breast cancer cases. J Transl Med. 2018;16:158. doi: 10.1186/s12967-018-1504-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Wu S, Zhu W, Thompson P, Hannun YA. Evaluating intrinsic and non-intrinsic cancer risk factors. Nat Commun. 2018;9:3490. doi: 10.1038/s41467-018-05467-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bruinooge SS. American Society of Clinical Oncology policy statement update: Genetic testing for cancer susceptibility. J Clin Oncol. 2003;21:2397–406. doi: 10.1200/JCO.2003.03.189. [DOI] [PubMed] [Google Scholar]
  • 6.Zeybek A, Erdoǧan A, Gülkesen KH, Ergin M, Sarper A, Dertsiz L, et al. Significance of tumor length as prognostic factor for esophageal cancer. Int Surg. 2013;98:234–40. doi: 10.9738/INTSURG-D-13-00075.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Zappa C, Mousa SA. Non-small cell lung cancer: Current treatment and future advances. Transl Lung Cancer Res. 2016;5:288–300. doi: 10.21037/tlcr.2016.06.07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.ACOG. PB179-Breast cancer risk assessment and screening in average-risk women. Obstet Gynecol. 2017;130:1–16. doi: 10.1097/AOG.0000000000002158. [DOI] [PubMed] [Google Scholar]
  • 9.Allain DC. Genetic counseling and testing for common hereditary breast cancer syndromes: A paper from the 2007 William Beaumont hospital symposium on molecular pathology. J Mol Diagn. 2008;10:383–95. doi: 10.2353/jmoldx.2008.070161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Moosavi A, Ardekani AM. Role of epigenetics in biology and human diseases. Iran Biomed J. 2016;20:246–58. doi: 10.22045/ibj.2016.01. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Saleh K, Eid R, Haddad FG, Khalife-Saleh N, Kourie HR. New developments in the management of head and neck cancer-impact of pembrolizumab. Ther Clin Risk Manag. 2018;14:295–303. doi: 10.2147/TCRM.S125059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Joshi P, Dutta S, Chaturvedi P, Nair S. Head and neck cancers in developing countries. Rambam Maimonides Med J. 2014;5:e0009. doi: 10.5041/RMMJ.10143. Published 2014 Apr 28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Shaw R, Beasley N. Aetiology and risk factors for head and neck cancer: United Kingdom National Multidisciplinary Guidelines. J Laryngol Otol. 2016;130:S9–12. doi: 10.1017/S0022215116000360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Perdomo S, Martin Roa G, Brennan P, Forman D, Sierra MS. Head and neck cancer burden and preventive measures in Central and South America. Cancer Epidemiol. 2016;44(Suppl 1):S43–S52. doi: 10.1016/j.canep.2016.03.012. [DOI] [PubMed] [Google Scholar]
  • 15.Kumar M, Nanavati R, Modi TG, Dobariya C. Oral cancer: Etiology and risk factors: A review. J Cancer Res Ther. 2016;12:458–63. doi: 10.4103/0973-1482.186696. [DOI] [PubMed] [Google Scholar]
  • 16.Macfarlane TV, Wirth T, Ranasinghe S, Ah-See KW, Renny N, Hurman D. Head and neck cancer pain: Systematic review of prevalence and associated factors. J Oral Maxillofac Res. 2012;3:e1. doi: 10.5037/jomr.2012.3101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Shakeel MK, Daniel MJ, Srinivasan SV, Koliyan R, Kumar JV. Comparative analysis of detecting cervical lymph node metastasis with fine needle aspiration cytology. J Nat Sci Biol Med. 2015;6(Suppl 1):S7–S9. doi: 10.4103/0976-9668.166050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.De Rosa M, Pace U, Rega D, Costabile V, Duraturo F, Izzo P, et al. Genetics, diagnosis and management of colorectal cancer (Review) Oncol Rep. 2015;34:1087–96. doi: 10.3892/or.2015.4108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kuipers EJ, Grady WM, Lieberman D, et al. Colorectal cancer. Nat Rev Dis Primers. 2015;1:15065. doi: 10.1038/nrdp.2015.65. Published 2015 Nov 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Basini J, Rayadurgam S, Dakshinamurthy S. An overview of colorectal cancer: Implication of two medicinal plants in their treatment. Asian J Pharmaceutical and Clin Res. 2019;12:47–52. [Google Scholar]
  • 21.Buechler SA, Gökmen-polar Y, Badve SS, Early R. A robust gene expression signature for predicting outcomes of estrogen receptor e positive breast cancer. Clin Breast Cancer. 2019;19:17–26. doi: 10.1016/j.clbc.2018.07.011. e8. [DOI] [PubMed] [Google Scholar]
  • 22.Ye Z, Wang C, Wan S, Mu Z, Zhang Z, Abu-Khalaf MM, et al. Association of clinical outcomes in metastatic breast cancer patients with circulating tumour cell and circulating cell-free DNA. Eur J Cancer. 2019;106:133–43. doi: 10.1016/j.ejca.2018.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Mansfield CM. A review of the etiology of breast cancer. J Natl Med Assoc. 1993;85:217–21. [PMC free article] [PubMed] [Google Scholar]
  • 24.Ataollahi MR, Sharifi J, Paknahad MR, Paknahad A. Breast cancer and associated factors: A review. J Med Life. 2015;8:6–11. [PMC free article] [PubMed] [Google Scholar]
  • 25.Chen W, Zhang J, Huang L, Chen L, Zhou Y, Tang D, et al. Detection of HER2-positive circulating tumor cells using the liquid biopsy system in breast cancer. Clin Breast Cancer. 2019;19:e239–46. doi: 10.1016/j.clbc.2018.10.009. [DOI] [PubMed] [Google Scholar]
  • 26.Mahdavifar N, Towhidi F, Makhsosi BR, Pakzad R, Moini A, Ahmadi A, et al. Incidence and mortality of nasopharynx cancer and its relationship with human development index in the world in 2012. World J Oncol. 2016;7:109–18. doi: 10.14740/wjon980w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Waller LP, Deshpande V, Pyrsopoulos N. Hepatocellular carcinoma: A comprehensive review. World J Hepatol. 2015;7:2648–63. doi: 10.4254/wjh.v7.i26.2648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Badvie S. Hepatocellular carcinoma. Postgrad Med J. 2000;76:4–11. doi: 10.1136/pmj.76.891.4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Sia D, Villanueva A, Friedman SL, Llovet JM. Liver cancer cell of origin, molecular class, and effects on patient Prognosis. Gastroenterology. 2017;152:745–761. doi: 10.1053/j.gastro.2016.11.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Edmondson AJ, Birtwistle JC, Catto JW, Twiddy M. The patients' experience of a bladder cancer diagnosis: A systematic review of the qualitative evidence. J Cancer Surviv. 2017;11:453–61. doi: 10.1007/s11764-017-0603-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Pasin E, Josephson DY, Mitra AP, Cote RJ, Stein JP. Superficial bladder cancer: An update on etiology, molecular development, classification, and natural history. Rev Urol. 2008;10:31–43. [PMC free article] [PubMed] [Google Scholar]
  • 32.Barbosa AL, Vermeulen SH, Aben KK, Grotenhuis AJ, Vrieling A, Kiemeney LA. Smoking intensity and bladder cancer aggressiveness at diagnosis. PLoS One. 2018;13:e0194039. doi: 10.1371/journal.pone.0194039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kitamura H, Tsukamoto T. Early bladder cancer: Concept, diagnosis, and management. Int J Clin Oncol. 2006;11:28–37. doi: 10.1007/s10147-006-0552-y. [DOI] [PubMed] [Google Scholar]
  • 34.Metts MC, Metts JC, Milito SJ, Thomas CR., Jr Bladder cancer: A review of diagnosis and management. J Natl Med Assoc. 2000;92:285–94. [PMC free article] [PubMed] [Google Scholar]
  • 35.Oeyen E, Hoekx L, De Wachter S, Baldewijns M, Ameye F, Mertens I. Bladder cancer diagnosis and follow-up: The current status and possible role of extracellular vesicles. Int J Mol Sci. 2019;20:821. doi: 10.3390/ijms20040821. Published 2019 Feb 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Shephard EA, Stapley S, Neal RD, Rose P, Walter FM, Hamilton WT. Clinical features of bladder cancer in primary care. Br J Gen Pract. 2012;62:e598–604. doi: 10.3399/bjgp12X654560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Leiting JL, Grotz TE. Advancements and challenges in treating advanced gastric cancer in the West. World J Gastrointest Oncol. 2019;11:652–64. doi: 10.4251/wjgo.v11.i9.652. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kaur S, Baine MJ, Jain M, Sasson AR, Batra SK. Early diagnosis of pancreatic cancer: Challenges and new developments. Biomark Med. 2012;6:597–612. doi: 10.2217/bmm.12.69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.McGuigan A, Kelly P, Turkington RC, Jones C, Coleman HG, McCain RS. Pancreatic cancer: A review of clinical diagnosis, epidemiology, treatment and outcomes. World J Gastroenterol. 2018;24:4846–61. doi: 10.3748/wjg.v24.i43.4846. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Kaur S, Baine MJ, Jain M, Sasson AR, Batra SK. Early diagnosis of pancreatic cancer: Challenges and new developments. Biomark Med. 2012;6:597–612. doi: 10.2217/bmm.12.69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Guntur D, Simadibrata M. Pancreatic cancer: Review of etiology, clinical features, diagnostic procedures, treatment and mesothelin role. Indonesian J Gastroenterology, Hepatology, and Digestive Endoscopy. 2011;12:44–49. [Google Scholar]
  • 42.Agarwal B, Correa AM, Ho L. Survival in pancreatic carcinoma based on tumor size. Pancreas. 2008;36:e15–e20. doi: 10.1097/mpa.0b013e31814de421. [DOI] [PubMed] [Google Scholar]
  • 43.Moscicki AB, Ellenberg JH, Vermund SH, Holland CA, Darragh T, Crowley-Nowick PA, et al. Prevalence of and risks for cervical human papillomavirus infection and squamous intraepithelial lesions in adolescent girls: Impact of infection with human immunodeficiency virus. Arch Pediatr Adolesc Med. 2000;154:127–34. doi: 10.1001/archpedi.154.2.127. [DOI] [PubMed] [Google Scholar]
  • 44.Ramesh N, Anjana A, Kusum N, Kiran A, Ashok A, Somdutt S. Overview of benign and malignant tumours of female genital tract. J App Pharm Sci. 2013;3:140–9. [Google Scholar]
  • 45.Buza N, Hui P. Immunohistochemistry in gynecologic pathology: An example-based practical update. Arch Pathol Lab Med. 2017;141:1052–71. doi: 10.5858/arpa.2016-0541-RA. [DOI] [PubMed] [Google Scholar]
  • 46.Cline JM. Neoplasms of the reproductive tract: The role of hormone exposure. ILAR J. 2004;45:179–88. doi: 10.1093/ilar.45.2.179. [DOI] [PubMed] [Google Scholar]
  • 47.Wentzensen N, Vinokurova S, von Knebel Doeberitz M. Systematic review of genomic integration sites of human papillomavirus genomes in epithelial dysplasia and invasive cancer of the female lower genital tract. Cancer Res. 2004;64:3878–84. doi: 10.1158/0008-5472.CAN-04-0009. [DOI] [PubMed] [Google Scholar]
  • 48.Reid BM, Permuth JB, Sellers TA. Epidemiology of ovarian cancer: A review. Cancer Biol Med. 2017;14:9–32. doi: 10.20892/j.issn.2095-3941.2016.0084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Farhood B, Geraily G, Alizadeh A. Incidence and mortality of various cancers in Iran and compare to other countries: A review article. Iran J Public Health. 2018;47:309–16. [PMC free article] [PubMed] [Google Scholar]
  • 50.Bray F, Lortet-Tieulent J, Ferlay J, Forman D, Auvinen A. Prostate cancer incidence and mortality trends in 37 European countries: An overview. Eur J Cancer. 2010;46:3040–52. doi: 10.1016/j.ejca.2010.09.013. [DOI] [PubMed] [Google Scholar]
  • 51.Flake GP, Andersen J, Dixon D. Etiology and pathogenesis of uterine leiomyomas: A review. Environ Health Perspect. 2003;111:1037–54. doi: 10.1289/ehp.5787. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Weiderpass E, Labrèche F. Malignant tumors of the female reproductive system. Saf Health Work. 2012;3:166–80. doi: 10.5491/SHAW.2012.3.3.166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Sitarz R, Skierucha M, Mielko J, Offerhaus GJA, Maciejewski R, Polkowski WP. Gastric cancer: Epidemiology, prevention, classification, and treatment. Cancer Manag Res. 2018;10:239–48. doi: 10.2147/CMAR.S149619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Yusefi AR, Bagheri Lankarani K, Bastani P, Radinmanesh M, Kavosi Z. Risk factors for gastric cancer: A systematic review Asian. Pac J Cancer Prev. 2018;19:591–603. doi: 10.22034/APJCP.2018.19.3.591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Gupta AK, Bharadwaj M, Mehrotra R. Skin cancer concerns in people of color: Risk factors and prevention. Asian Pac J Cancer Prev. 2016;17:5257–64. doi: 10.22034/APJCP.2016.17.12.5257. Published 2016 Dec 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Gloster HM, Jr, Neal K. Skin cancer in skin of color. J Am Acad Dermatol. 2006;55:741–64. doi: 10.1016/j.jaad.2005.08.063. [DOI] [PubMed] [Google Scholar]
  • 57.Bax MJ, Johnson TM, Harms PW, Schwartz JL, Zhao L, Fullen DR, et al. Detection of Occult Invasion in Melanoma In situ. JAMA Dermatol. 2016;152:1201–8. doi: 10.1001/jamadermatol.2016.2668. [DOI] [PubMed] [Google Scholar]
  • 58.Rastrelli M, Tropea S, Rossi CR, Alaibac M. Melanoma: Epidemiology, risk factors, pathogenesis, diagnosis and classification. In vivo. 2014;28:1005–11. [PubMed] [Google Scholar]
  • 59.Domingues B, Lopes JM, Soares P, Pópulo H. Melanoma treatment in review. Immunotargets Ther. 2018;7:35–49. doi: 10.2147/ITT.S134842. Published 2018 Jun 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Curiel-Lewandrowski C, Chen SC, Swetter SM Melanoma Prevention Working Group-Pigmented Skin Lesion Sub-Committee. Screening and prevention measures for melanoma: Is there a survival advantage.? Curr Oncol Rep. 2012;14:458–67. doi: 10.1007/s11912-012-0256-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Cooley ME. Symptoms in adults with lung cancer. A systematic research review. J Pain Symptom Manage. 2000;19:137–53. doi: 10.1016/s0885-3924(99)00150-5. [DOI] [PubMed] [Google Scholar]
  • 62.Holgate ST, Holloway JW. Is big beautiful? The continuing story of ADAM33 and asthma. Thorax. 2005;60:263–4. doi: 10.1136/thx.2004.031385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Ganie F, Hussain S, Lone H, Wani ML, Wani S. Carcinoma lung: Clinical presentation, diagnosis, and its surgical management. J Assoc Chest Physicians. 2013;1:38. [Google Scholar]
  • 64.Kasparian NA, McLoone JK, Meiser B. Skin cancer-related prevention and screening behaviors: A review of the literature. J Behav Med. 2009;32:406–28. doi: 10.1007/s10865-009-9219-2. [DOI] [PubMed] [Google Scholar]
  • 65.Latimer KM, Mott TF. Lung cancer: Diagnosis, treatment principles, and screening. Am Fam Physician. 2015;91:250–6. [PubMed] [Google Scholar]
  • 66.Tvrda E, Agarwal A, Alkuhaimi N. Male reproductive cancers and infertility: A mutual relationship. Int J Mol Sci. 2015;16:7230–60. doi: 10.3390/ijms16047230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.John R, Giudicessi BA, Michael J, Ackerman 2013. NIH public access. Bone. 2008;23:1–7. [Google Scholar]
  • 68.Nguyen QT, Lee EJ, Huang MG, Park YI, Khullar A, Plodkowski RA. Diagnosis and treatment of patients with thyroid cancer. Am Health Drug Benefits. 2015;8:30–40. [PMC free article] [PubMed] [Google Scholar]
  • 69.Schneider DF, Chen H. New developments in the diagnosis and treatment of thyroid cancer. CA Cancer J Clin. 2013;63:374–94. doi: 10.3322/caac.21195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Soubra A, Risk MC. Diagnostics techniques in nonmuscle invasive bladder cancer. Indian J Urol. 2015;31:283–8. doi: 10.4103/0970-1591.166449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Xiao X, Hu R, Deng FM, Shen SS, Yang XJ, Wu CL. Practical Applications of Immunohistochemistry in the Diagnosis of Genitourinary Tumors. Arch Pathol Lab Med. 2017;141:1181–94. doi: 10.5858/arpa.2016-0530-RA. [DOI] [PubMed] [Google Scholar]
  • 72.Koyuncuer A. Immunohistochemical expression of p63, p53 in urinary bladder carcinoma. Indian J Pathol Microbiol. 2013;56:10–5. doi: 10.4103/0377-4929.116141. [DOI] [PubMed] [Google Scholar]
  • 73.Weyerer V, Schneckenpointner R, Filbeck T, Burger M, Wild PJ, Fine SW, et al. Journal of cancer immunohistochemical and molecular characterizations in urothelial carcinoma of bladder in patients less than 45 years. J Cancer. 2017;8:323–31. doi: 10.7150/jca.17482. Published 2017 Feb 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Schmitz-Dräger BJ, Droller M, Lokeshwar VB, Lotan Y, Hudson MA, van Rhijn BW, et al. Molecular markers for bladder cancer screening, early diagnosis, and surveillance: The WHO/ICUD consensus. Urol Int. 2015;94:1–24. doi: 10.1159/000369357. [DOI] [PubMed] [Google Scholar]
  • 75.Inamura K. Bladder cancer: New insights into its molecular pathology. Cancers (Basel) 2018;10:100. doi: 10.3390/cancers10040100. Published 2018 Apr 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Grossman HB, Messing E, Soloway M, Tomera K, Katz G, Berger Y, et al. Detection of bladder cancer using a point-of-care proteomic assay. JAMA. 2005;293:810–6. doi: 10.1001/jama.293.7.810. [DOI] [PubMed] [Google Scholar]
  • 77.Hou L, Tu J, Cheng F, Yang H, Yu F, Wang M, et al. Long noncoding RNA ROR promotes breast cancer by regulating the TGF-β pathway. Cancer Cell Int. 2018;18:142. doi: 10.1186/s12935-018-0638-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Myp C, Sym H, Thambiah M, Dw S, Jc C, Qs L, et al. Breast cancer: Current research immediate breast reconstruction does not delay adjuvant chemotherapy nor affect. Clin Outcome. 2017;2:1–9. [Google Scholar]
  • 79.Sporikova Z, Koudelakova V, Trojanec R, Hajduch M. Genetic markers in triple-negative breast cancer. Clin Breast Cancer. 2018;18:e841–50. doi: 10.1016/j.clbc.2018.07.023. [DOI] [PubMed] [Google Scholar]
  • 80.Dong X, Men X, Zhang W, Lei P. Advances in tumor markers of ovarian cancer for early diagnosis. Indian J Cancer. 2014;51(Suppl 3):e72–6. doi: 10.4103/0019-509X.154049. [DOI] [PubMed] [Google Scholar]
  • 81.Prat J, Mutch DG. Pathology of cancers of the female genital tract including molecular pathology. Int J Gynaecol Obstet. 2018;143(Suppl 2):93–108. doi: 10.1002/ijgo.12617. [DOI] [PubMed] [Google Scholar]
  • 82.Wang TL, Davidson B, Buckhaults PJ, Huang CS, Poul G. Molecular genetic markers in female reproductive cancers. J Oncol. 2010;2010:307460. doi: 10.1155/2010/307460. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Rein BJ, Gupta S, Dada R, Safi J, Michener C, Agarwal A. Potential markers for detection and monitoring of ovarian cancer. J Oncol. 2011;2011:475983. doi: 10.1155/2011/475983. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Soyano AE, Baldeo C, Kasi PM. Case report BRCA mutation and its association with colorectal cancer. Clin Colorectal Cancer. 2018;17:e647–50. doi: 10.1016/j.clcc.2018.06.006. [DOI] [PubMed] [Google Scholar]
  • 85.Kanik P, Gajjar K, Ghosh N. Immunohistochemical localization of KRAS and BRAF and its clinical utility in patients with colorectal cancer. Colorec Cancer. 2018;4:04. [Google Scholar]
  • 86.Major AG, Pitty LP, Farah CS. Cancer stem cell markers in head and neck squamous cell carcinoma. Stem Cells Int. 2013;2013:319489. doi: 10.1155/2013/319489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Mehrotra R, Yadav S. Oral squamous cell carcinoma: Etiology, pathogenesis and prognostic value of genomic alterations. Indian J Cancer. 2006;43:60–6. doi: 10.4103/0019-509x.25886. [DOI] [PubMed] [Google Scholar]
  • 88.Hoffmann F, Umbreit C, Krüger T, Pelzel D, Ernst G, Kniemeyer O, et al. Identification of proteomic markers in head and neck cancer using MALDI-MS imaging, LC-MS/MS, and immunohistochemistry. Proteomics Clin Appl. 2019;13:e1700173. doi: 10.1002/prca.201700173. [DOI] [PubMed] [Google Scholar]
  • 89.Suh Y, Amelio I, Guerrero Urbano T, Tavassoli M. Clinical update on cancer: Molecular oncology of head and neck cancer. Cell Death Dis. 2014;5:e1018. doi: 10.1038/cddis.2013.548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Jou A, Hess J. Epidemiology and molecular biology of head and neck cancer. Oncol Res Treat. 2017;40:328–32. doi: 10.1159/000477127. [DOI] [PubMed] [Google Scholar]
  • 91.Patil DB, Tekale PD, Patil HA, Padgavankar PH. Emerging applications of immunohistochemistry in head and neck pathology. J Dent Allied Sci. 2016;5:89–94. [Google Scholar]
  • 92.Owusu-Afriyie O, Owiredu WK, Owusu-Danquah K, Larsen-Reindorf R, Donkor P, Acheampong E, et al. Expression of immunohistochemical markers in non-oropharyngeal head and neck squamous cell carcinoma in Ghana [published correction appears in PLoS One 2018;13:e0209696] PLoS One. 2018;13:e0202790. doi: 10.1371/journal.pone.0202790. Published 2018 Aug 23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Yi CH, Jim Zhai Q, Wang BY. Updates on immunohistochemical and molecular markers in selected head and neck diagnostic problems. Arch Pathol Lab Med. 2017;141:1214–35. doi: 10.5858/arpa.2016-0245-RA. [DOI] [PubMed] [Google Scholar]
  • 94.Ni Y. What is the purpose of launching the World Journal of Methodology? World J Methodol. 2011;1:1–3. doi: 10.5662/wjm.v1.i1.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Rajguru JP, Mouneshkumar CD, Radhakrishnan IC, Negi BS, Maya D, Hajibabaei S, et al. Tumor markers in oral cancer: A review. J Family Med Prim Care. 2020;9:492–6. doi: 10.4103/jfmpc.jfmpc_1036_19. Published 2020 Feb 28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Daher S, Massarwa M, Benson AA, Khoury T. Current and future treatment of hepatocellular carcinoma: An updated comprehensive review. J Clin Transl Hepatol. 2018;6:69–78. doi: 10.14218/JCTH.2017.00031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Pietrantonio F, De Braud F, Da Prat V, Perrone F, Pierotti MA, Gariboldi M, et al. A review on biomarkers for prediction of treatment outcome in gastric cancer. Anticancer Res. 2013;33:1257–66. [PubMed] [Google Scholar]
  • 98.McCormick Matthews LH, Noble F, Tod J, Jaynes E, Harris S, Primrose JN, et al. Systematic review and meta-analysis of immunohistochemical prognostic biomarkers in resected oesophageal adenocarcinoma. Br J Cancer. 2015;113:107–18. doi: 10.1038/bjc.2015.179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Wang C, Wang J, Chen Z, Gao Y, He J. Immunohistochemical prognostic markers of esophageal squamous cell carcinoma: A systematic review. Chin J Cancer. 2017;36:65. doi: 10.1186/s40880-017-0232-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Tan C, Qian X, Guan Z, Yang B, Ge Y, Wang F, et al. Potential biomarkers for esophageal cancer. Springerplus. 2016;5:467. doi: 10.1186/s40064-016-2119-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Visser E, Franken IA, Brosens LA, Ruurda JP, van Hillegersberg R. Prognostic gene expression profiling in esophageal cancer: A systematic review. Oncotarget. 2017;8:5566–77. doi: 10.18632/oncotarget.13328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Wang Y, Cao Z, Wang L, Liu S, Cai J. Downregulation of microRNA-142-3p and its tumor suppressor role in gastric cancer. Oncol Lett. 2018;15:8172–80. doi: 10.3892/ol.2018.8330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Duffy MJ, Sturgeon C, Lamerz R, Haglund C, Holubec VL, Klapdor R, et al. Tumor markers in pancreatic cancer: A European Group on Tumor Markers (EGTM) status report. Ann Oncol. 2010;21:441–7. doi: 10.1093/annonc/mdp332. [DOI] [PubMed] [Google Scholar]
  • 104.Goonesekere NC, Wang X, Ludwig L, Guda C. A meta analysis of pancreatic microarray datasets yields new targets as cancer genes and biomarkers. PLoS One. 2014;9:e93046. doi: 10.1371/journal.pone.0093046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Ferrone CR, Finkelstein DM, Thayer SP, Muzikansky A, Fernandez-delCastillo C, Warshaw AL. Perioperative CA19-9 levels can predict stage and survival in patients with resectable pancreatic adenocarcinoma. J Clin Oncol. 2006;24:2897–902. doi: 10.1200/JCO.2005.05.3934. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Smith RA, Tang J, Tudur-Smith C, Neoptolemos JP, Ghaneh P. Meta-analysis of immunohistochemical prognostic markers in resected pancreatic cancer. Br J Cancer. 2011;104:1440–51. doi: 10.1038/bjc.2011.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Loosen SH, Neumann UP, Trautwein C, Roderburg C, Luedde T. Current and future biomarkers for pancreatic adenocarcinoma. Tumour Biol. 2017;39:1010428317692231. doi: 10.1177/1010428317692231. [DOI] [PubMed] [Google Scholar]
  • 108.Hamada S, Shimosegawa T. Biomarkers of pancreatic cancer. Pancreatology. 2011;11(Suppl 2):14–9. doi: 10.1159/000323479. [DOI] [PubMed] [Google Scholar]
  • 109.Malati T. Tumour markers: An overview. Indian J Clin Biochem. 2007;22:17–31. doi: 10.1007/BF02913308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Soumya D. A Glimpse on melanoma-risk factors and treatment. J Cancer Sci Ther. 2011;3:1–6. [Google Scholar]
  • 111.Weinstein D, Leininger J, Hamby C, Safai B. Diagnostic and prognostic biomarkers in melanoma. J Clin Aesthet Dermatol. 2014;7:13–24. [PMC free article] [PubMed] [Google Scholar]
  • 112.Sonthalia S, Agrawal M, Sehgal VN. Topical ciclopirox olamine 1%: revisiting a unique antifungal. Indian Dermatol Online J. 2019;10:481–5. doi: 10.4103/idoj.IDOJ_29_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Lim SY, Lee JH, Diefenbach RJ, Kefford RF, Rizos H. Liquid biomarkers in melanoma: Detection and discovery. Mol Cancer. 2018;17:8. doi: 10.1186/s12943-018-0757-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.He T, Wu J, Chen Y, Zhang J. TP 53 polymorphisms and melanoma: A meta-analysis. J Cancer Res Ther. 2015;11:409–14. doi: 10.4103/0973-1482.157329. [DOI] [PubMed] [Google Scholar]
  • 115.Inamura K. Lung cancer: Understanding its molecular pathology and the 2015 WHO classification. Front Oncol. 2017;7:193. doi: 10.3389/fonc.2017.00193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Cheng L, Alexander RE, Maclennan GT, Cummings OW, Montironi R, Lopez-Beltran A, et al. Molecular pathology of lung cancer: Key to personalized medicine. Mod Pathol. 2012;25:347–69. doi: 10.1038/modpathol.2011.215. [DOI] [PubMed] [Google Scholar]
  • 117.Travis WD, Brambilla E, Nicholson AG, Yatabe Y, Austin JH, Beasley MB, et al. The 2015 World Health Organization classification of lung tumors: Impact of genetic, clinical and radiologic advances since the 2004 classification. J Thorac Oncol. 2015;10:1243–60. doi: 10.1097/JTO.0000000000000630. [DOI] [PubMed] [Google Scholar]
  • 118.Thapa J. The molecular pathology of thyroid neoplasms. J Pathol Nepal. 2014;4:580–3. [Google Scholar]
  • 119.Abdullah MI, Junit SM, Ng KL, Jayapalan JJ, Karikalan B, Hashim OH. Papillary thyroid cancer: Genetic alterations and molecular biomarker investigations. Int J Med Sci. 2019;16:450–60. doi: 10.7150/ijms.29935. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Nosé V. Familial thyroid cancer: A review. Mod Pathol. 2011;24:S19–33. doi: 10.1038/modpathol.2010.147. [DOI] [PubMed] [Google Scholar]
  • 121.Li X, He J, Zhou M, Cao Y, Jin Y, Zou Q. Identification and validation of core genes involved in the development of papillary thyroid carcinoma via bioinformatics analysis. Int J Genomics. 2019;2019:5894926. doi: 10.1155/2019/5894926. Published 2019 Sep 8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Nagirnaja L, Aston KI, Conrad DF. Genetic intersection of male infertility and cancer. Fertil Steril. 2018;109:20–6. doi: 10.1016/j.fertnstert.2017.10.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Achermann JC, Ozisik G, Meeks JJ, Larry Jameson J. Perspective: Genetic causes of human reproductive disease. J Clin Endocrinol Metab. 2002;87:2447–54. doi: 10.1210/jcem.87.6.8622. [DOI] [PubMed] [Google Scholar]
  • 124.Nagirnaja L, Aston KI, Conrad DF. Genetic intersection of male infertility and cancer. Fertil Steril. 2018;109:20–6. doi: 10.1016/j.fertnstert.2017.10.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Achermann JC, Ozisik G, Meeks JJ, Larry Jameson J. Perspective: Genetic causes of human reproductive disease. J Clin Endocrinol Metab. 2002;87:2447–54. doi: 10.1210/jcem.87.6.8622. [DOI] [PubMed] [Google Scholar]
  • 126.Wei J, Wang Z. Establishment of a predictive model for short-term efficacy of transcatheter arterial chemoembolization treatment in hepatocellular carcinoma and its clinical application. J Cancer Res Ther. 2019;15:941–6. doi: 10.4103/jcrt.JCRT_52_19. [DOI] [PubMed] [Google Scholar]
  • 127.Pall M, Iqbal J, Singh SK, Rana SV. CA 19-9 as a serum marker in urothelial carcinoma. Urol Ann. 2012;4:98–101. doi: 10.4103/0974-7796.95555. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Bedeir A, Krasinskas AM. Molecular diagnostics of colorectal cancer. Arch Pathol Lab Med. 2011;135:578–87. doi: 10.5858/2010-0613-RAIR.1. [DOI] [PubMed] [Google Scholar]
  • 129.Pectasides D, Bafaloucos D, Antoniou F, Gogou L, Economides N, Varthalitis J, et al. TPA, TATI, CEA, AFP, beta-HCG, PSA, SCC, and CA 19-9 for monitoring transitional cell carcinoma of the bladder. Am J Clin Oncol. 1996;19:271–7. doi: 10.1097/00000421-199606000-00013. [DOI] [PubMed] [Google Scholar]
  • 130.Zhang X, Ran W, Wu J, Li H, Liu H, Wang L, et al. Deficient mismatch repair and RAS mutation in colorectal carcinoma patients: A retrospective study in Eastern China. PeerJ. 2018;6:e4341. doi: 10.7717/peerj.4341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Gao XH, Yu GY, Gong HF, Liu LJ, Xu Y, Hao LQ, et al. Differences of protein expression profiles, KRAS and BRAF mutation, and prognosis in right-sided colon, left-sided colon and rectal cancer. Sci Rep. 2017;7:7882. doi: 10.1038/s41598-017-08413-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Huang YL, Wu JR, Fang M, Zhao HL, Liu ZM, Ye J, et al. The role of ERCC1 and AFP gene polymorphism in hepatocellular carcinoma. Medicine (Baltimore) 2019;98:e15090. doi: 10.1097/MD.0000000000015090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Garinet S, Laurent-Puig P, Blons H, Oudart JB. Current and future molecular testing in NSCLC, what can we expect from new sequencing technologies.? J Clin Med. 2018;7:144. doi: 10.3390/jcm7060144. Published 2018 Jun 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Dolejsova O, Kucera R, Fuchsova R, Topolcan O, Svobodova H. The ability of prostate health index (PHI) to predict Gleason score in patients with prostate cancer and discriminate patients between Gleason score 6 and Gleason score higher than 6 — A study on 320 patients after radical prostatectomy. Technol Cancer Res Treat. 2018;17:1533033818787377. doi: 10.1177/1533033818787377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Ziske C, Schlie C, Gorschlüter M, Glasmacher A, Mey U, Strehl J, et al. Prognostic value of CA 19-9 levels in patients with inoperable adenocarcinoma of the pancreas treated with gemcitabine. Br J Cancer. 2003;89:1413–17. doi: 10.1038/sj.bjc.6601263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Zhang J, Quadri S, Wolfgang CL, Zheng L. New development of biomarkers for gastrointestinal cancers: From neoplastic cells to tumor microenvironment. Biomedicines. 2018;6:87. doi: 10.3390/biomedicines6030087. Published 2018 Aug 13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Mayer-Zitarosa A. Clinical effectiveness of cancer screening biomarker tests offered as self-pay health service: A systematic review. Eur J Public Health. 2016;26:498–505. doi: 10.1093/eurpub/ckv227. [DOI] [PubMed] [Google Scholar]
  • 138.Venyo AK, Herring D, Greenwood H, Maloney DJ. The expression of beta human chorionic gonadotrophin (β-HCG) in human urothelial carcinoma. Pan Afr Med J. 2010;7:20. [PMC free article] [PubMed] [Google Scholar]
  • 139.Rapisuwon S, Vietsch EE, Wellstein A. Circulating biomarkers to monitor cancer progression and treatment. Comput Struct Biotechnol J. 2016;14:211–22. doi: 10.1016/j.csbj.2016.05.004. Published 2016 Jun 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Hsiao Y, Chu LJ, Chen J, Yeh T, Yu J. Expert review of proteomics proteomic profiling of the cancer cell secretome: Informing clinical research. Expert Rev Proteomics. 2017;14:737–56. doi: 10.1080/14789450.2017.1353913. [DOI] [PubMed] [Google Scholar]
  • 141.Sauter ER. Reliable biomarkers to identify new and recurrent cancer. Eur J Breast Health. 2017;13:162–7. doi: 10.5152/ejbh.2017.3635. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Bandu R, Oh JW, Kim KP. Mass spectrometry-based proteome profiling of extracellular vesicles and their roles in cancer biology. Exp Mol Med. 2019;51:1–0. doi: 10.1038/s12276-019-0218-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Sallam RM. Proteomics in cancer biomarkers discovery: Challenges and applications. Dis Markers. 2015;2015:321370. doi: 10.1155/2015/321370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Hanash S, Schliekelman M. Proteomic profiling of the tumor microenvironment: Recent insights and the search for biomarkers. Genome Med. 2014;6:12. doi: 10.1186/gm529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Lee CH, Im EJ, Moon PG, Baek MC. Discovery of a diagnostic biomarker for colon cancer through proteomic profiling of small extracellular vesicles. BMC Cancer. 2018;18:1058. doi: 10.1186/s12885-018-4952-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Hayes B, Murphy C, Crawley A, O’Kennedy R. Developments in point-of-care diagnostic technology for cancer detection. Diagnostics (Basel) 2018;8:39. doi: 10.3390/diagnostics8020039. Published 2018 Jun 2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Lin J, Li J, Huang B, Liu J, Chen X, Chen XM, et al. Exosomes: Novel biomarkers for clinical diagnosis. Scientific World J. 2015;2015:657086. doi: 10.1155/2015/657086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Maruvada P, Wang W, Wagner PD, Srivastava S. Biomarkers in molecular medicine: Cancer detection and diagnosis. Biotechniques. 2005;Suppl:9–15. doi: 10.2144/05384su04. [DOI] [PubMed] [Google Scholar]
  • 149.Eftimie R, Hassanein E. Improving cancer detection through combinations of cancer and immune biomarkers: A modelling approach. J Transl Med. 2018;16:73. doi: 10.1186/s12967-018-1432-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Sadikovic B, Al-Romaih K, Squire JA, Zielenska M. Cause and consequences of genetic and epigenetic alterations in human cancer. Curr Genomics. 2008;9:394–408. doi: 10.2174/138920208785699580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Sharma S, Kelly TK, Jones PA. Epigenetics in cancer. Carcinogenesis. 2009;31:27–36. doi: 10.1093/carcin/bgp220. [DOI] [PMC free article] [PubMed] [Google Scholar]

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