Human Papillomavirus-Type Distribution in Women With and Without Cervical Neoplasia in North India
Open accessAbstract
Our objective was to determine the human papillomavirus (HPV)-type prevalence in cervical samples in women with and without cervical neoplasia in an opportunistic hospital-based cancer-screening program. A cross-sectional study of 524 women presenting from January 2003 through June 2005 with symptoms of persistent vaginal discharge, intermenstrual bleeding, and postcoital bleeding or detected to have an unhealthy cervix underwent HPV genotyping by consensus polymerase chain reaction and reverse line-blot hybridization assay, conventional Pap smear, and colposcopy, with directed biopsy from all lesions detected. The prevalence rates of HPV infection among women with normal, low-grade cervical neoplasia (CIN 1) and high-grade CIN (>CIN2) were found to be 7.6%, 42.3%, and 87.5%, respectively. Seventeen high-risk and 6 low-risk HPV types were identified by the reverse line-blot assay. Multiple infections were seen in 20% of women. In normal women, the 6 commonest types were HPV-16, HPV-89, HPV-39, HPV-52, HPV-62, and HPV-18, whereas in high-grade disease, these were all high-risk types HPV-16, HPV-18, HPV-33, HPV-39, HPV-35, and HPV-56. HPV-16 was the commonest type in all groups, seen in 49.4% cases overall and in 74.3% of high-grade squamous intraepithelial lesion. It was followed by HPV-18 (7.4%) and HPV-33 and HPV-39 (4.9% each). HPV-89 was the commonest low-risk type (9.9%). HPV-16/18 were associated with 34.3% of normal, 45.4% of low-grade and 65.7% of high-grade lesions. A wide spectrum of HPV types is seen in north Indian women, with the majority being HPV-16 in all grades of histology. A vaccine against HPV-16 and HPV-18 could prevent two thirds of cases of high-grade cervical neoplasia.
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Available reports from studies covering few parts of India show a wide variation in HPV infection prevalence and genotype distribution, attributed to diversified socio-economic and geo-climatic conditions.
“Available reports from studies covering few parts of India show a wide variation in the prevalence of HPV infection and genotypes distribution which is attributed to diversified socio-economic and geo-climatic condition [5–9].”
From HPV Genotypes distribution in Indian women with and without cervical carcinoma: Implication for HPV vaccination program in Odisha, Eastern India (2017) · cites this paper as [6]
The Discussion reports differences in HPV genotype distribution between this north Indian study and a study from south India, and the Abstract notes that Indian data are limited. It does not attribute variation in HPV prevalence or genotype distribution to socioeconomic or geo-climatic conditions; the Results describe participants’ socioeconomic class without making that connection. No page numbers are available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredEpidemiology of HPV infection and pattern of HPV genotype distribution are not well documented in the entire Indian subcontinent, which limits implementation of cervical cancer prevention programs.
“Epidemiology of HPV infection and pattern of HPV genotype distribution are not well documented in the entire Indian subcontinent which limits the implementation of cervical cancer prevention programs.”
From HPV Genotypes distribution in Indian women with and without cervical carcinoma: Implication for HPV vaccination program in Odisha, Eastern India (2017) · cites this paper as [6]
The Abstract says that standardized data on HPV-type prevalence in India were limited, supporting the claim about incomplete documentation. It does not say that this data gap limits prevention programs; instead, it attributes difficulty implementing cytology-based screening to cost, infrastructure, false-negative tests, and underscreening. The study itself concerns symptomatic women in north India, not the entire subcontinent. (LLM, conf=0.86)
Experimental — accuracy not yet measuredData on prevalence and distribution of three most prominent genotypes in cancer cases from different geographical regions of India shows a great regional variation.
“Data on the prevalence and distribution of three most prominent genotypes in the cancer cases from different geographical regions of India shows a great regional variation [5–9, 15–17].”
From HPV Genotypes distribution in Indian women with and without cervical carcinoma: Implication for HPV vaccination program in Odisha, Eastern India (2017) · cites this paper as [6]
The Discussion (page unavailable) compares HPV-type findings from north and south India, including a south Indian community where HPV-52, rather than HPV-16, was the most common infection. It also reports the three leading types in a previous Delhi invasive-cancer study. These passages support some variation in HPV types, but do not establish great regional variation in the three leading genotypes specifically among cancer cases across India. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThe prevalence of HPV infection among women with normal cytology showing minor gynecological complaint is high compared to other studies in India.
“Compared to other studies in India, the present study disclosed a high prevalence of HPV infection among the women with normal cytology showing minor gynecological complaint [5, 6, 15–17].”
From HPV Genotypes distribution in Indian women with and without cervical carcinoma: Implication for HPV vaccination program in Odisha, Eastern India (2017) · cites this paper as [6]
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Cites
Sowjanya, A. P., Jain, M., Poli, U. R., Padma, S., Das, M., Shah, K. V., Rao, B., Devi, R. R., Gravitt, P. E., & Ramakrishna, G. (2005) · BMC Infectious Diseases · doi:10.1186/1471-2334-5-116 · Cited by 155 · see citing works
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Research works printed but not linked: 16
- [1]Ferlay J Bray F Pisani P GLOBOCAN 2002 cancer incidence. Mortality and prevalence worldwide. IARC Cancer Base No. 5 Version 2.0 2004 IARC Press Lyon
- [2]Walboomers JM Jacobs MV Manos MM Human papillomavirus is a necessary cause of invasive cervical cancer worldwide J Pathol 1999 189 12 19 10451482
- [3]Hakama M Chamberlain J Day NE Evaluation of screening programmes for gynaecological cancer Br J Cancer 1985 52 669 73 4063143 PMC1977251
- [4]Koutsky LA Harper DM Current findings from prophylactic HPV vaccine trials Vaccine 2006 24 114 21 16949998
- [6]Franceschi S Rajkumar T Vaccarella S Human papillomavirus and risk factors for cervical cancer in Chennai, India: a case-control study Int J Cancer 2003 107 127 33 12925967
- [7]Franceschi S Rajkumar R Snijders PJF Papillomavirus infection in rural women in southern India Br J Cancer 2005 92 601 06 15668709 PMC2362069
- [8]Bhatla N Dar L Patro AR Human papillomavirus type distribution in cervical cancer in Delhi, India Int J Gynecol Pathol 2006 25 393 402 16990719
- [9]Gravitt PE Peyton CL Apple RJ Genotyping of 27 human papillomavirus types by using L1 consensus PCR products by a single hybridization reverse line blot detection method J Clin Microbiol 1998 36 3020 7 9738060 PMC105104
- [10]Gravitt PE Peyton CL Alessi TQ Improved amplification of genital human papillomaviruses J Clin Microbiol 2000 38 357 61 10618116 PMC88724
- [11]Munoz N Bosch FX de Sanjosé S Epidemiologic classification of human papillomavirus types associated with cervical cancer N Engl J Med 2003 348 518 27 12571259
- [12]Clifford GM Gallus S Herrero R Worldwide distribution of human papillomavirus types in cytologically normal women in the International Agency for Research on Cancer HPV prevalence surveys: a pooled analysis Lancet 2005 366 991 98 16168781
- [13]Bhatla N Dar L Kumar P Age-specific human papillomavirus prevalence in north India Br J Cancer 2007 in press
- [14]Clifford GM Rana RK Franceschi S Human papillomavirus genotype distribution in low-grade cervical lesions: comparison by geographical region and with cervical cancer Cancer Epidemiol Biomarkers Prev 2005 14 1157 64 15894666
- [15]Smith JS Lindsay L Hoots B HPV type distribution in invasive cervical cancer and high-grade cervical lesions: a meta-analysis update Int J Cancer 2007 121 621 32 17405118
- [16]Clifford G Franceschi S Diaz M HPV type-distribution in women with and without cervical neoplastic diseases Vaccine 2006 24 26 34 16950015
- [17]Saranath D Khan Z Tandle AT HPV 16/18 prevalence in cervical lesions/cancers and p53 genotypes in cervical cancer patients from India Gynecol Oncol 2002 86 157 62 12144822
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Senapati, R., Nayak, B., Kar, S. K., & Dwibedi, B. (2017) · BMC Infectious Diseases · doi:10.1186/s12879-016-2136-4 · Cited by 95 · see citing works
Prinja, S., Bahuguna, P., Faujdar, D. S., Jyani, G., Srinivasan, R., Ghoshal, S., Suri, V., Singh, M. P., & Kumar, R. (2017) · Cancer · doi:10.1002/cncr.30734 · Cited by 68 · see citing works
Ali, M., Sinha, R., kumar, A., Karim, S., Irfan, M., Kumar, S., Sinha, S., Kumar, A., Ghosh, A., & Singh, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-68344-4 · Cited by 7 · see citing works
- Authors
- Bhatla, N., Dar, L., Rajkumar Patro, A., Kumar, P., Pati, S. K., Kriplani, A., Gulati, A., Broor, S., Iyer, V. K., Mathur, S., Shah, K. V., & Gravitt, P. E.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Bhatla, Neerja
- ORCID
- Venue
- International Journal of Gynecological Pathology
- Published
- 2008-07
- Volume
- 27
- Issue
- 3
- Pages
- 426-430
- ISSN
- 0277-1691 (ISSN-L)
- PMC
- PMC4156035
- OpenAlex
- W2066743405
- Cited by
- 54
- References
- 1
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 1 · 2018: 4 · 2017: 5 · 2016: 2 · 2015: 3 · 2014: 6 · 2013: 3 · 2012: 3
- FWCI
- 2.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- International Journal of Gynecological Pathology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (P50CA098252)
- Topics
- Health Sciences › Medicine › Epidemiology › Cervical Cancer and HPV Research
- Life Sciences › Immunology and Microbiology › Microbiology › Reproductive tract infections research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Women's cancer prevention and management
- Keywords
- human papillomavirus, HPV genotyping, cervical neoplasia, cervical intraepithelial neoplasia, HPV16, HPV 18, high-risk HPV, low-risk HPV, multiple HPV infection, squamous intraepithelial lesions, HPV prevalence, cervical cancer screening, North India
- MeSH terms
- Adult, Aged, Uterine Cervical Dysplasia, Uterine Cervical Neoplasms, Cervix Uteri, Cross-Sectional Studies, Female, Genotype, Humans, India, Middle Aged, Prevalence, Papillomavirus Infections, Alphapapillomavirus
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