Evaluation of Characteristics and Outcomes of COVID-19 Between First Wave and Second Wave: Study From a Tertiary Cancer Care Centre, Delhi, India.

Background and objectives The second wave of coronavirus disease-19 (COVID-19) had several severe consequences in the form of rising cases, deaths, and overwhelming health infrastructure in India. However, the similarities and differences between the characteristics of the first and second waves have yet to be explained. The objectives of the study were to compare the incidence, clinical management, and mortality rates between two waves. Methods The COVID-19 data collated from Rajiv Gandhi Cancer Institute and Research Centre, Delhi between the first wave (1 April 2020 to 27 February 2021) and second wave (1 March 2021 to 30 June 2021) were evaluated in terms of incidence, the clinical course of the disease, and mortality rates. Results The number of subjects hospitalized in the first and second waves was 289 and 564, respectively. Compared to the first wave, the proportion of patients with severe disease was higher (9.7% vs. 37.8%). Several parameters such as age group, grade of disease, the reason for hospitalization, values of peripheral oxygen saturation, type of respiratory support, response to therapy, vital status, and others show statistically significant differences between the two waves (P<0.001). The mortality rate in the second wave was significantly higher (20.2% vs. 2.4%, P<0.001) than in the first wave. Interpretation and conclusions The clinical course and outcomes of COVID-19 significantly differ between the first and second waves. There is a higher incidence of hospitalized patients (66.1% vs. 33.9%) with drastically increased case fatality rate in the second wave. Disease severity in the first wave is four times lower than in the second wave. The second wave was quite devastating, which led to the shortage of critical care facilities and the loss of a significant number of lives.

First-line chemotherapy analysis on survival in carcinoma ovary patients: Data from a Northern Indian cancer center.

Aims: This study aims to assess the survival and identify the prognostic factors in ovarian cancer patients treated with surgery and carboplatin/paclitaxel based first-line chemotherapy (CT). Settings and Design: The electronic medical records of all ovarian cancer patients registered during January 2009 and December 2017 were screened retrospectively. Subjects and Methods: A total of 440 cases were included in accordance with the inclusion/exclusion criteria of study. The comprehensive data regarding demography, treatment, chemotoxicities, recurrence, and others were collated and analyzed. Statistical Analysis Used: Cox regression analysis was used for univariate and multivariate analyses of prognostic factors. Results: The median age at diagnosis was 50.6 years. All cases had got CT-related morbidity but no associated mortality. The median recurrence-free survival (RFS) and mean overall survival (OS) were 30 (95% confidence interval [CI]: 24.65-35.38) months and 40.4 months, respectively. A significant difference was observed among the RFS (P < 0.001); and OS (P = 0.036) in relation to the stage of disease. Furthermore, patients who relapsed post first-line CT had 36%, 9%, 3% recurrence in second-, third-, and fourth-line CT regimens, respectively. Multivariate analysis proved the histology, low-grade serous, to be the favorable prognostic factor for RFS (hazard ratio = 0.18; 95% CI: 0.04-0.82). Conclusions: Surgery and first-line CT with carboplatin/paclitaxel lead-to-moderate long-term survival in ovarian cancer. The likelihood of relapse is fairly high as stage advances. Low-grade serous histology is an independent prognostic factor for RFS.

Are Basal-Like and Non-Basal-Like Triple-Negative Breast Cancers Really Different?

OBJECTIVE: Triple-negative breast cancer (TNBC) accounts for 15-25% of breast cancers. It is increasingly recognized that TNBC is a motley disease. TNBC and basal-like (BL) subtype are different molecular classes of breast cancer with a high degree of overlap. However, a smaller fraction lacks the expression of basal markers in spite of being TNBC and is called non-basal-like (NBL). The aim of this study is to assess the clinicopathological features in TNBC and compare its BL and NBL subtypes. Material and Methods. A total of 200 subjects fulfilling the inclusion criteria of study were identified from the electronic medical records of institution. The tumor sections of subjects were immunohistochemically stained for basal markers, namely, 34ßE12, c-Kit, and EGFR, in order to differentiate between BL and NBL subtypes. Comprehensive data were assembled from subjects' clinical records. The features of TNBC and their associations with the two subtypes were assessed using statistical analyses. RESULTS: TNBC constituted 22% of all breast cancers. The family history of cancer was observed to be significantly associated with stage (p=0.013). The proportions of BL and NBL subtypes were equal. Of all parameters compared between two subtypes, only lymphovascular invasion was found to have statistically significant difference (p=0.019). Though no statistical significant difference between overall survival (OS) and disease-free survival (DFS) of two subgroups was found, BL subtype has slightly shorter DFS and OS compared to NBL. CONCLUSION: Both BL and NBL subtypes occur in equal proportions; hence, basalness and triple negativity are not synonyms. Though BL and NBL are prognostically similar, BL subtype shows a trend towards slightly shorter DFS and OS compared to NBL.

Prognostic Role of Androgen Receptor in Triple Negative Breast Cancer: A Multi-Institutional Study.

BACKGROUND: The androgen receptor (AR) has emerged as a potential therapeutic target for AR-positive triple-negative breast cancer (TNBC). However, conflicting reports regarding AR's prognostic role in TNBC are putting its usefulness in question. Some studies conclude that AR positivity indicates a good prognosis in TNBC, whereas others suggest the opposite, and some show that AR status has no significant bearing on the patients' prognosis. METHODS: We evaluated the prognostic value of AR in resected primary tumors from TNBC patients from six international cohorts {US (n = 420), UK (n = 239), Norway (n = 104), Ireland (n = 222), Nigeria (n = 180), and India (n = 242); total n = 1407}. All TNBC samples were stained with the same anti-AR antibody using the same immunohistochemistry protocol, and samples with ≥1% of AR-positive nuclei were deemed AR-positive TNBCs. RESULTS: AR status shows population-specific patterns of association with patients' overall survival after controlling for age, grade, population, and chemotherapy. We found AR-positive status to be a marker of good prognosis in US and Nigerian cohorts, a marker of poor prognosis in Norway, Ireland and Indian cohorts, and neutral in UK cohort. CONCLUSION: AR status, on its own, is not a reliable prognostic marker. More research to investigate molecular subtype composition among the different cohorts is warranted.

Histopathological Significance and Prognostic Impact of Tumor Budding in Colorectal Cancer

Background: Colorectal cancer (CRC) is a heterogeneous disease with a complex etiology. New prognostic factors need to be investigated. Our present focus is on histopathological significance and prognostic impact of tumor budding in CRC. Material and Methods: A total of 60 treatment-naive consecutive patients undergoing surgical resection of CRCs during the period of January 2011 to December 2013 were included in the study. Details of each related to their demographic and tumor profile were recorded. Hematoxylin and Eosin (H and E) and pan-cytokeratin details of each "case" immunohistochemically stained sections were examined for tumor budding assessment along with clinical features. Results: The most frequent site of involvement was the rectosigmoid and sigmoid colon (31.6%). The majority of the cases were moderately differentiated (75%), showed tumor invasion into the pericolic/subserosal fat (66.6%) and stage III (38.3%). Nodal involvement was present in 47%. Correlations between tumor budding and nodal involvement (p-value 0.039) and AJCC stage (p-value 0.021) were found to be statistically significant. Conclusion: Tumor budding is a promising and powerful predictor of lymph nodal metastasis and a higher stage of tumor and can be used as a marker for high-risk CRC. Routine H and E staining aided by cytokeratin immunostaining allows reproducible grading of tumor budding in CRC cases.

Association of SNPs/haplotypes in promoter of TNF A and IL-10 gene together with life style factors in prostate cancer progression in Indian population.

OBJECTIVE: Levels of proinflammatory (TNF A) and anti-inflammatory (IL-10) cytokines play a key role in the progression of inflammation as well as cancer disease. We were investigating the potential association of single-nucleotide polymorphisms (SNPs)/haplotypes in proinflammatory (TNF A) and anti-inflammatory (IL-10) cytokines locus with the development of PCa in Indian population. MATERIALS AND METHODS: We had genotyped 235 BPH/PCa samples (130 BPH and 105 cancer) along with 115 control samples for proinflammatory (TNF A -238G/A and -308G/A) and anti-inflammatory (IL-10 -1082A/G, -819C/T and -592C/A) cytokines SNPs in the gene promoter region using ARMS-PCR method. RESULTS: Allelic frequencies of TNF A and IL-10 SNPs were found to be significantly associated with the risk of prostate cancer and BPH when compared to controls (p = 0.05). Further haplotypic analysis showed that two haplotypes of TNF A (AG and AA) and IL-10 gene (CCG and CTG) were serving as risk haplotypes for prostate cancer development. IL-10 risk haplotypes were found to be positively associated with aggressiveness of prostate cancer. We also noticed successively increasing percentage of TNF A and IL-10 risk haplotypes with life style habits like smoking (10 and 26%) and alcohol consuming (9 and 27%). CONCLUSIONS: According to our data, TNF A -238G>A and IL-10 -1082A>G, -819C>T and -592C>A may be associated with the development of prostate cancer and BPH. We could also notice higher frequency of TNF A and IL-10 risk haplotypes in smoker and alcohol user. Interestingly, IL-10 risk haplotype was positively associated with aggressiveness of tumor. This information can be used for the early diagnosis of disease and to improve tissue-specific treatment's efficacy which will be moving ultimately towards the discovery of personalized therapy.

Clinicopathological characteristics of triple negative breast cancer at a tertiary care hospital in India.

BACKGROUND: Triple-negative breast cancer (TNBC), characterized by the lack of expression of estrogen receptor, progesterone receptor and human epidermal growth factor receptor-2, is typically associated with a poor prognosis. The majority of TNBCs show the expression of basal markers on gene expression profiling and most authors accept TNBC as basal-like (BL) breast cancer. However, a smaller fraction lacks a BL phenotype despite being TNBC. The literature is silent on non-basal-like (NBL) type of TNBC. The present study was aimed at defining behavioral differences between BL and NBL phenotypes. OBJECTIVES: i) Identify the TNBCs and categorize them into BL and NBL breast cancer. ii) Examine the behavioral differences between two subtypes. iii) Observe the pattern of treatment failure among TNBCs. MATERIALS AND METHODS: All TNBC cases during January 2009-December 2010 were retrieved. The subjects fitting the inclusion criteria of study were differentiated into BL and NBL phenotypes using surrogate immunohistochemistry with three basal markers 34ßE12, c-Kit and EGFR as per the algorithm defined by Nielsen et al. The detailed data of subjects were collated from clinical records. The comparison of clinicopathological features between two subgroups was done using statistical analyses. The pattern of treatment failure along with its association with prognostic factors was assessed. RESULTS: TNBC constituted 18% of breast cancer cases considered in the study. The BL and NBL subtypes accounted for 81% and 19% respectively of the TNBC group. No statistically significant association was seen between prognostic parameters and two phenotypes. Among patients with treatment failure, 19% were with BL and 15% were with NBL phenotype. The mean disease free survival (DFS) in groups BL and NBL was 30.0 and 37.9 months respectively, while mean overall survival (OS) was 31.93 and 38.5 months respectively. Treatment failure was significantly associated with stage (p=.023) among prognostic factors. CONCLUSIONS: Disease stage at presentation is an important prognostic factor influencing the treatment failure and survival among TNBCs. Increasing tumor size is related to lymph node positivity. BL tumors have a more aggressive clinical course than that of NBL as shown by shorter DFS and OS, despite having no statistically significant difference between prognostic parameters. New therapeutic alternatives should be explored for patients with this subtype of breast cancer.