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Journal articles on the topic 'Cancer pathology'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

D. Travis, William. "Lung Cancer Pathology Blueprint for Future Work." Haigan 47, no. 7 (2007): 903. http://dx.doi.org/10.2482/haigan.47.903.

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2

I., Ebru Cakir. "Molecular Pathology In Lung Cancer: A Brief Review." International Journal of Medical Reviews and Case Reports 3, no. 1 (2019): 10–15. https://doi.org/10.5455/IJMRCR.MOLECULAR-PATHOLOGY-IN-LUNG-CANCER.

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Lung cancer is a heterogenous tumor which develops as a result of accumulation of multiple genetic, and epigenetic changes together with environmental pathogens. In the last decade, targetable specific molecular changes were described, and important developments in the treatment, and survival of these patients have been obtained. In recent years, with recommendations of international guidelines, analyses of molecular changes related to sensitivity to tyrosine kinase inhibitors as EGFR gene mutations , and ALK/ROS gene rearrangements have been performed in many laboratories in cases with advanc

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3

Salto-Tellez, Manuel, and Ian A. Cree. "Cancer taxonomy: pathology beyond pathology." European Journal of Cancer 115 (July 2019): 57–60. http://dx.doi.org/10.1016/j.ejca.2019.03.026.

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4

Polsdofer, Erik, and Jian Jing. "Immunohistochemistry in Small Lung Biopsies: Diagnostic Pitfalls and Challenges with Limited Panels." Journal of Experimental Pathology 5, no. 1 (2024): 61–72. http://dx.doi.org/10.33696/pathology.5.053.

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With the increasing need for targeted therapies in non-small cell lung carcinoma (NSCLC), preserving sufficient biopsy material has become essential. As most lung cancer cases are advanced or inoperable at the time of diagnosis, small biopsies, including cytology specimens, often serve as the only source of diagnostic material. Accurate subclassification of adenocarcinoma and squamous cell carcinoma in NSCLC using a limited panel including TTF1 and p63/p40 immunohistochemical (IHC) staining, as well as confirming small cell carcinoma using essential IHC markers, is critical for precise diagnos

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5

Park, Ji Yeon. "Evaluation of Breast Cancer Size Measurement by Computer-Aided Diagnosis (CAD) and a Radiologist on Breast MRI." Journal of Clinical Medicine 11, no. 5 (2022): 1172. http://dx.doi.org/10.3390/jcm11051172.

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Purpose: This study aimed to evaluate cancer size measurement by computer-aided diagnosis (CAD) and radiologist on breast magnetic resonance imaging (MRI) relative to histopathology and to determine clinicopathologic and MRI factors that may affect measurements. Methods: Preoperative MRI of 208 breast cancers taken between January 2017 and March 2021 were included. We evaluated correlation between CAD-generated size and pathologic size as well as that between radiologist-measured size and pathologic size. We classified size discrepancies into accurate and inaccurate groups. For both CAD and ra

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Bora, Panchali, Sanjeet Singh, Kanika Sharma, Nishant Singh, and Paramjit Singh. "ADVANCED DIAGNOSTIC AIDS IN ORAL PATHOLOGY." International Journal of Advanced Research 10, no. 08 (2022): 511–17. http://dx.doi.org/10.21474/ijar01/15204.

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Oral cancers are one of the most common cancers worldwide today. They are usually neglected by the common population when compared to systemic cancers such as the lung cancer, colon cancer etc. However, they also may be extremely fatal if left untreated even at a very initial stage of the lesion. Early detection and treatment gives the best chance for its cure. The five-year survival rate of oral cancer still remains low and delayed diagnosis is suggested to be one of the major reasons. The detection and diagnosis are currently based on clinical examination, histopathological evaluation of the

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7

Soon Lee, C. "Breast cancer pathology." Pathology 37, no. 5 (2005): 339–40. http://dx.doi.org/10.1080/00313020500254602.

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8

Travis, William D. "Lung Cancer Pathology." Clinics in Chest Medicine 41, no. 1 (2020): 67–85. http://dx.doi.org/10.1016/j.ccm.2019.11.001.

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9

Bergmann, Frank, Irene Esposito, Esther Herpel, and Peter Schirmacher. "Pancreatic cancer — Pathology." Chinese-German Journal of Clinical Oncology 6, no. 2 (2007): 95–101. http://dx.doi.org/10.1007/s10330-007-0034-3.

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10

Khanam, Wajiha, Ayeda Jehan, Rubeena Anjum, Pradakhshana Vijay, Priyanka Singh, and Ruchika Raj. "Advanced diagnostic techniques in oral pathology: A review." IP International Journal of Maxillofacial Imaging 10, no. 3 (2024): 92–95. http://dx.doi.org/10.18231/j.ijmi.2024.020.

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Oral cancer is one of the most common cancers in the world today. Oral potentially malignant disorders (OPMDs) typically occur before oral cancer, although it can be difficult to predict if an OPMD will progress to cancer. Oral cancer typically receives less public attention than systemic cancers such as lung cancer, colon cancer, etc. Even with an early diagnosis, these lesions may be fatal if left untreated. The prognosis for effective treatment is improved by early diagnosis. The diagnostic tools available to identify oral cancer in its early stages have advanced in a number of ways. This s

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11

Joseph, A., O. Salako, and L. Agaga. "Breast Cancer Pathology Reporting in a LMIC: Filling in the Gaps." Journal of Global Oncology 4, Supplement 2 (2018): 18s. http://dx.doi.org/10.1200/jgo.18.73600.

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Background: Breast cancer biology has been studied extensively over the past 5 decades, with a deeper understanding of the epidemiologic, clinical, and prognostic value of specific pathologic features. Tumor characterization beyond histologic type has been shown to guide treatment choices and ultimately improve outcomes. Pathologic features such as tumor grade, margin involvement, hormone and growth factor receptor overexpression, are all pieces of the puzzle that a clinician must put together to adequately map out the best treatment options available to the present-day breast cancer patient.

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12

van der Willik, Kimberly D., Liliana P. Rojas-Saunero, Jeremy A. Labrecque, et al. "Pathology-confirmed versus non pathology-confirmed cancer diagnoses: incidence, participant characteristics, and survival." European Journal of Epidemiology 35, no. 6 (2019): 557–65. http://dx.doi.org/10.1007/s10654-019-00592-5.

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AbstractCancer diagnoses which are not confirmed by pathology are often under-registered in cancer registries compared to pathology-confirmed diagnoses. It is unknown how many patients have a non pathology-confirmed cancer diagnosis, and whether their characteristics and survival differ from patients with a pathology-confirmed diagnosis. Participants from the prospective population-based Rotterdam Study were followed between 1989 and 2013 for the diagnosis of cancer. Cancer diagnoses were classified into pathology-confirmed versus non pathology-confirmed (i.e., based on imaging or tumour marke

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13

Glickman, Jonathan N. "Section II: Pathology and pathologic staging of esophageal cancer." Seminars in Thoracic and Cardiovascular Surgery 15, no. 2 (2003): 167–79. http://dx.doi.org/10.1016/s1043067903000182.

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14

Glickman, Jonathan N. "Section II: Pathology and pathologic staging of esophageal cancer." Seminars in Thoracic and Cardiovascular Surgery 15, no. 2 (2003): 167–79. http://dx.doi.org/10.1016/s1043-0679(03)70025-2.

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15

Mossanen, Matthew, Jonathan L. Wright, Lawrence D. True, Funda Vakar-Lopez, Danielle Lavallee, and John L. Gore. "Surgical pathology and the patient: A systematic review evaluating the primary audience of pathology reports." Journal of Clinical Oncology 32, no. 4_suppl (2014): 261. http://dx.doi.org/10.1200/jco.2014.32.4_suppl.261.

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261 Background: For patients with a diagnosis of cancer, the pathology reports represent a sentinel document that dictates prognosis and management. However, a substantial subset of patients may lack the ability to comprehend this complex document while making medical decisions. As a result, many cancer patients may stand to benefit from more patient-centered pathology reports. We sought to review the available literature in order to identify the primary audience of surgical pathology reports for the most common malignancies in men and women in the U.S. Methods: A systematic review was conduct

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16

Dood, Robert L., Nicole D. Fleming, Robert L. Coleman, et al. "When Ovarian Cancer Is Not: Characterizing Nonovarian Cancer Pathology in a Laparoscopy-Based Triage System." International Journal of Gynecologic Cancer 28, no. 8 (2018): 1485–90. http://dx.doi.org/10.1097/igc.0000000000001329.

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ObjectiveEstablishing an accurate histologic diagnosis is essential for determining the appropriate course of therapy for ovarian cancer. This study sought to investigate and describe nonovarian cancer pathologies discovered during the systematic laparoscopic workup of presumed advanced ovarian cancer.MethodsA retrospective cohort of patients with presumed advanced ovarian cancer (based on elevated CA125 and/or imaging) presenting to our center without confirmed pathologic diagnosis were identified and characterized. Patients without ovarian cancer on final pathology were described and compare

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17

Carvalho, Lina. "Interdisciplinary Pathology - Demonstrated for Lung Pathology." Electronic Journal of Pathology and Histology 7, no. 1 (2001): 08. https://doi.org/10.3233/eph-2001-7_1_08.

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We are aware that lung pathology is growing in respect to published articles and daily events. The increase of lung disease incidence is related to the alterations of our environment, which we have to stay and cannot escape. The mortality and morbidity of patients suffering from lung diseases, mainly lung cancer and interstitial pneumonia, increase the eagerness of scientists and medical doctors pursuing the same objective: to understand and treat these diseases. In lung cancer, early screening has not yet reached a sufficient level of accuracy. Symptomatic patients have to be submitted to det

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18

Alshahri, Sultan Saeed Mifrih, Abdulkarim Tirad Alanazi, Khalid Mohammed Hamad Kilabi, et al. "Cervical Cancer: pathology, clinical records, and nursing contributions." International journal of health sciences 8, S1 (2024): 1624–41. http://dx.doi.org/10.53730/ijhs.v8ns1.15346.

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Background: Cervical cancer is a leading cause of cancer-related deaths among women worldwide, with over 600,000 new cases and 350,000 deaths annually. The disease disproportionately affects populations in lower-resource settings, where access to screening and vaccination programs is limited. Human Papillomavirus (HPV) is the primary etiological agent responsible for most cervical cancers. Vaccination and screening efforts, particularly HPV testing, are central to reducing the global burden of cervical cancer. Aim: This article aims to explore the pathology, epidemiology, and clinical manageme

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19

Haeberle, Lena, and Irene Esposito. "Pathology of pancreatic cancer." Translational Gastroenterology and Hepatology 4 (June 2019): 50. http://dx.doi.org/10.21037/tgh.2019.06.02.

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20

Alakeel, Mouneera, and Zainab Al-Doori. "miRNA in Cancer Pathology." Journal of Molecular Biology Research 7, no. 1 (2017): 20. http://dx.doi.org/10.5539/jmbr.v7n1p20.

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MicroRNA/miRNA refers to types of RNA which are non-coding; they are21 to 25 nucleotides in length. In most cases, at particular nucleotide locations, they relate to one or more mRNAs. Deadenylation, cleavage, and alternative procedures of translation’s suppression are the means by which miRNA disturb gene repression. Recent investigations seem to propose that miRNAs are involved in many cell procedures and for this they became perfect targets for usage in healing purposes. Various miRNAs are involved in the development of human vascular diseases, due to their function in modulating vascular c

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21

Rizzolio, Flavio. "Nanomedicine in Cancer Pathology." Current Medicinal Chemistry 25, no. 34 (2018): 4190–91. http://dx.doi.org/10.2174/092986732534181026111151.

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22

Mackay, Bruce. "Pathology of lung cancer." Current Opinion in Oncology 2, no. 2 (1990): 316–20. http://dx.doi.org/10.1097/00001622-199004000-00012.

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23

Franklin, Wilbur A. "Pathology of Lung Cancer." Journal of Thoracic Imaging 15, no. 1 (2000): 3–12. http://dx.doi.org/10.1097/00005382-200001000-00003.

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24

KOMMOSS, FRIEDRICH, and C. BLAKE GILKS. "Pathology of Ovarian Cancer." Clinical Obstetrics and Gynecology 60, no. 4 (2017): 686–96. http://dx.doi.org/10.1097/grf.0000000000000314.

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25

Bateman, Adrian C. "Pathology of breast cancer." Women's Health Medicine 3, no. 1 (2006): 18–21. http://dx.doi.org/10.1383/wohm.2006.3.1.18.

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26

Leslie, Kevin O., and Thomas V. Colby. "Pathology of lung cancer." Current Opinion in Pulmonary Medicine 3, no. 4 (1997): 252–56. http://dx.doi.org/10.1097/00063198-199707000-00003.

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27

Ponz de Leon, M., and C. Di Gregorio. "Pathology of colorectal cancer." Digestive and Liver Disease 33, no. 4 (2001): 372–88. http://dx.doi.org/10.1016/s1590-8658(01)80095-5.

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28

Brenes, Fernando, and Pelayo Correa. "Pathology of Gastric Cancer." Surgical Oncology Clinics of North America 2, no. 3 (1993): 347–70. http://dx.doi.org/10.1016/s1055-3207(18)30561-1.

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29

Compérat, Eva. "Pathology of Penile Cancer." European Urology Supplements 17, no. 6 (2018): 132–37. http://dx.doi.org/10.1016/j.eursup.2017.08.005.

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30

Hoff, Paulo M., Renata Coudry, and Camila Motta Venchiarutti Moniz. "Pathology of Anal Cancer." Surgical Oncology Clinics of North America 26, no. 1 (2017): 57–71. http://dx.doi.org/10.1016/j.soc.2016.07.013.

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31

Travis, William D. "Pathology of lung cancer." Clinics in Chest Medicine 23, no. 1 (2002): 65–81. http://dx.doi.org/10.1016/s0272-5231(03)00061-3.

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32

Fleming, Kenneth A. "Pathology and cancer policy." Journal of Cancer Policy 7 (March 2016): 32–35. http://dx.doi.org/10.1016/j.jcpo.2015.12.005.

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33

Silverberg, Steven G., and Olga B. loffe. "Pathology of Cervical Cancer." Cancer Journal 9, no. 5 (2003): 335–47. http://dx.doi.org/10.1097/00130404-200309000-00003.

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34

Longuespée, Rémi, C. Boyon, Annie Desmons, et al. "Ovarian cancer molecular pathology." Cancer and Metastasis Reviews 31, no. 3-4 (2012): 713–32. http://dx.doi.org/10.1007/s10555-012-9383-7.

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35

Travis, William D. "Pathology of Lung Cancer." Clinics in Chest Medicine 32, no. 4 (2011): 669–92. http://dx.doi.org/10.1016/j.ccm.2011.08.005.

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36

Treanor, D., and P. Quirke. "Pathology of Colorectal Cancer." Clinical Oncology 19, no. 10 (2007): 769–76. http://dx.doi.org/10.1016/j.clon.2007.08.012.

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37

Park, Young Soo, Myeong-Cherl Kook, Baek-hui Kim, et al. "A standardized pathology report for gastric cancer: 2nd edition." Journal of Pathology and Translational Medicine 57, no. 1 (2023): 1–27. http://dx.doi.org/10.4132/jptm.2022.12.23.

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The first edition of ‘A Standardized Pathology Report for Gastric Cancer’ was initiated by the Gastrointestinal Pathology Study Group of the Korean Society of Pathologists and published 17 years ago. Since then, significant advances have been made in the pathologic diagnosis, molecular genetics, and management of gastric cancer (GC). To reflect those changes, a committee for publishing a second edition of the report was formed within the Gastrointestinal Pathology Study Group of the Korean Society of Pathologists. This second edition consists of two parts: standard data elements and conditiona

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38

Dood, Robert, Nicole D. Fleming, Robert L. Coleman, Shannon Neville Westin, and Anil Sood. "When advanced ovarian cancer is not ovarian cancer." Journal of Clinical Oncology 35, no. 15_suppl (2017): e17066-e17066. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e17066.

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e17066 Background:Tissue diagnosis of advanced ovarian cancer (OC) is not universally obtained prior to up-front surgery. This study sought to investigate non-OC cases discovered in the systemic laparoscopic (LSC) workup of presumed advanced OC. Methods: A prospective cohort of presumed advanced OC patients (based on elevated CA125 and/or imaging) presenting to our center without confirmed pathologic diagnosis. Patients with non-OC pathology confirmed in workup were characterized and compared to those with confirmed ovarian pathology using standard statistical tests. Results: 365 patients pres

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39

Gupta, Vaibhav, Jordan Levy, Catherine Allen-Ayodabo, et al. "Population Registry of Esophageal and Stomach Tumours in Ontario (PRESTO): protocol for a multicentre clinical and pathological database including 25 000 patients." BMJ Open 10, no. 5 (2020): e032729. http://dx.doi.org/10.1136/bmjopen-2019-032729.

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IntroductionOesophagogastric cancers carry a high mortality, economic burden and rising incidence. There is a need to monitor and improve care for this disease. Pathologic information is a cornerstone of cancer diagnosis, treatment and prognosis. Few population-based studies combine pathology information and clinical outcomes. The objective of this study is to develop a clinical and pathological database of oesophagogastric cancers to study practice patterns, resource utilisation and clinical outcomes.Methods and analysisThe Population Registry of Esophageal and Stomach Tumours in Ontario (PRE

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40

Kim, Jae Kwon, Mun Joo Choi, Jong Sik Lee, et al. "A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer." Journal of Healthcare Engineering 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/4651582.

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Object. Pathologic prediction of prostate cancer can be made by predicting the patient’s prostate metastasis prior to surgery based on biopsy information. Because biopsy variables associated with pathology have uncertainty regarding individual patient differences, a method for classification according to these variables is needed.Method. We propose a deep belief network and Dempster-Shafer- (DBN-DS-) based multiclassifier for the pathologic prediction of prostate cancer. The DBN-DS learns prostate-specific antigen (PSA), Gleason score, and clinical T stage variable information using three DBNs

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41

Мальков, Павел, Pavel Mal'kov, Дмитрий Калинин, et al. "Indicators for quality control of surgical pathology studies. Providing diagnosis of cancer." Vestnik Roszdravnadzora 2019, no. 6 (2019): 42–49. http://dx.doi.org/10.35576/2070-7940-2019-2019-6-42-49.

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The issues of timely diagnosis of neoplasms and compliance with licensing requirements when carrying out work (services) on surgical pathology are relevant for ensuring the rights of citizens in the field of health protection. The paper describes approaches to quality control of surgical pathologу studies of biopsy (surgical) material. A system of indicators is proposed for assessing compliance with all stages of surgical pathologу studies and standard technological procedures associated with the pathology study and the presentation of its results in the patient’s medical documenta

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42

Casey, Murray Joseph, Chhanda Bewtra, Henry T. Lynch, Carrie L. Snyder, and Mark Stacey. "Endometrial Cancers in Mutation Carriers From Hereditary Breast Ovarian Cancer Syndrome Kindreds: Report From the Creighton University Hereditary Cancer Registry With Review of the Implications." International Journal of Gynecologic Cancer 25, no. 4 (2015): 650–56. http://dx.doi.org/10.1097/igc.0000000000000402.

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ObjectiveThe aim of this study was to categorize and report endometrial cancers in mutation carriers from hereditary breast ovarian cancer families.MethodsOur Hereditary Cancer Registry was searched for gynecologic and peritoneal cancers linked to mutations in BRCA1 or BRCA2. Invasive cancers were registered in 101 mutation carriers with complete pathology reports. Efforts were made to secure diagnostic surgical pathology tissues for review. All records and available diagnostic slides were meticulously studied, and primary cancers were classified.FindingsEight malignancies were classified as p

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43

Yachida, Shinichi, and Christine A. Iacobuzio-Donahue. "The Pathology and Genetics of Metastatic Pancreatic Cancer." Archives of Pathology & Laboratory Medicine 133, no. 3 (2009): 413–22. http://dx.doi.org/10.5858/133.3.413.

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Abstract Context.—Metastatic disease is the most critical determinant of resectability of pancreatic cancer and accounts for the poor outcome of patients with this disease. Thus, a better understanding of metastatic pancreatic cancer will afford new opportunities for therapeutic intervention. Objective.—To summarize and discuss the current understanding of the clinical and molecular features of metastatic pancreatic cancer. Data Sources.—Published literature on advanced stage pancreatic cancer, pancreatic cancer metastasis, and autopsy findings in patients with pancreatic cancer. Conclusions.—

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44

Iczkowski, Kenneth A. "Genomic Pathology and Cancer Biomarkers: Prostate Cancer." Critical Reviews™ in Oncogenesis 22, no. 5-6 (2017): 515–25. http://dx.doi.org/10.1615/critrevoncog.2017020539.

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45

Fisher, C. "The Molecular Pathology of Cancer. Cancer Surveys." Journal of Clinical Pathology 47, no. 3 (1994): 287. http://dx.doi.org/10.1136/jcp.47.3.287-b.

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46

Strumfa, Ilze, Andrejs Vanags, Arnis Abolins, and Janis Gardovskis. "Pathology of Breast Cancer: from Classic Concepts to Molecular Pathology and Pathogenesis." Acta Chirurgica Latviensis 12, no. 1 (2012): 59–66. http://dx.doi.org/10.2478/v10163-012-0012-x.

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SummaryBreast cancer has high incidence and still significant mortality. Due to the widespread application and efficacy of surgery in breast cancer treatment, the surgeon has a crucial role in the treatment planning. Taking into account the tendency to personalized cancer care and the heterogeneity of breast cancer, the surgeon has to be aware about the prognostic and predictive characteristics of breast cancer. We discuss here the classaic pathology of breast cancer along with molecular subtypes, novel prognostic markers and molecular pathogenesis.

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47

Li, Zhe, Yuming Jiang, and Ruijiang Li. "Abstract 2313: Multi-modal deep learning to predict cancer outcomes by integrating radiology and pathology images." Cancer Research 84, no. 6_Supplement (2024): 2313. http://dx.doi.org/10.1158/1538-7445.am2024-2313.

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Abstract Purpose: Cancer patients routinely undergo radiologic and pathologic evaluation for their diagnostic workup. These data modalities represent a valuable and readily available resource for developing new prognostic tools. Given their vast difference in spatial scales, effective methods to integrate the two modalities are currently lacking. Here, we aim to develop a multi-modal approach to integrate radiology and pathology images for predicting outcomes in cancer patients. Methods: We propose a multi-modal weakly-supervised deep learning framework to integrate radiology and pathology ima

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48

Dawson, Heather, Richard Kirsch, David Messenger, and David Driman. "A Review of Current Challenges in Colorectal Cancer Reporting." Archives of Pathology & Laboratory Medicine 143, no. 7 (2019): 869–82. http://dx.doi.org/10.5858/arpa.2017-0475-ra.

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Context.— Pathologic assessment of colorectal cancer resection specimens plays an important role in postsurgical management and prognostication in patients with colorectal cancer. Challenges exist in the evaluation and reporting of these specimens, either because of difficulties in applying existing guidelines or related to newer concepts. Objective.— To address challenging areas in colorectal cancer pathology and to provide an overview of the literature, current guidelines, and expert recommendations for the handling of colorectal cancer resection specimens in everyday practice. Data Sources.

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49

Sarma, Dr Usha. "Diagnostic Approach to Nephrectomy done for Neoplastic Pathology." Journal of Medical Science and clinical Research 13, no. 01 (2025): 06–09. https://doi.org/10.18535/jmscr/v13i01.02.

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Background: Renal cancer is among the top ten causes of death due to cancer world-wide in both, men and women. Surgical resection is the mainstay of treatment. However, Histopathological examination is the gold standard of diagnosis. It is imperative to study the types and subtypes of renal cancer leading to nephrectomy. Method: A hospital-based cross-sectional study, observing demographic profile and clinical details of histopathological examination Results: This study included 28 patients with age range from 1 year to 75 years. The peak age of incidence was the 4th decade. Incidence in males

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50

Ivanova, Elena, Alexey Fayzullin, Victor Grinin, et al. "Empowering Renal Cancer Management with AI and Digital Pathology: Pathology, Diagnostics and Prognosis." Biomedicines 11, no. 11 (2023): 2875. http://dx.doi.org/10.3390/biomedicines11112875.

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Renal cell carcinoma is a significant health burden worldwide, necessitating accurate and efficient diagnostic methods to guide treatment decisions. Traditional pathology practices have limitations, including interobserver variability and time-consuming evaluations. In recent years, digital pathology tools emerged as a promising solution to enhance the diagnosis and management of renal cancer. This review aims to provide a comprehensive overview of the current state and potential of digital pathology in the context of renal cell carcinoma. Through advanced image analysis algorithms, artificial

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