Exploring the Unmet Needs of Cancer Caregivers in India: A Cross-Sectional Survey.

Introduction Caregivers of individuals with head, neck, and face cancer play a pivotal role in providing support, yet they face distinct challenges. This study aims to explore caregiving experiences and consequences among this population. Methods A multicentric cross-sectional study involving 200 caregivers using a convenience sampling method was conducted in Pune. Caregivers involved in patient care were included in head, neck, and face cancer. The Cancer Caregiving Consequences Inventory (CaTCoN) questionnaire was utilized to assess various dimensions of caregiving. Ethical clearance was obtained from institutional review boards. Results The demographic profile revealed that 89% of caregivers were spouses/partners, primarily females (77%), aged 25-40 (81.5%), and urban dwellers (68.5%). Caregivers were predominantly married or cohabiting (100%) and had children (95%). Most had a graduate-level education (97.5%) and were employed full-time (82.5%). The mean scores from the CaTCoN questionnaire highlighted substantial caregiving responsibilities, with significant associations found in multivariate regression analysis. Spouses/partners showed stronger correlations with increased workload, personal growth challenges, financial difficulties, and the need to maintain an everyday life. Conclusion This study comprehensively explains caregiving consequences among head, neck, and face cancer cases. The predominance of spouses/partners as caregivers emphasizes the need for targeted interventions to address their unique challenges. The study highlights the demanding nature of caregiving, with potential positive outcomes.

Harnessing the power of native biocontrol agents against wilt disease of Pigeonpea incited by Fusarium udum.

Fusarium wilt, caused by (Fusarium udum Butler), is a significant threat to pigeonpea crops worldwide, leading to substantial yield losses. Traditional approaches like fungicides and resistant cultivars are not practical due to the persistent and evolving nature of the pathogen. Therefore, native biocontrol agents are considered to be more sustainable solution, as they adapt well to local soil and climatic conditions. In this study, five isolates of F. udum infecting pigeonpea were isolated from various cultivars and characterized morphologically and molecularly. The isolate from the ICP 8858 cultivar displayed the highest virulence of 90%. Besides, 100 endophytic bacteria, 100 rhizosphere bacteria and three Trichoderma spp. were isolated and tested against F. udum isolated from ICP 8858 under in vitro conditions. Out of the 200 bacteria tested, nine showed highest inhibition, including Rb-4 (Bacillus sp.), Rb-11 (B. subtilis), Rb-14 (B. megaterium), Rb-18 (B. subtilis), Rb-19 (B. velezensis), Eb-8 (Bacillus sp.), Eb-11 (B. subtilis), Eb-13 (P. aeruginosa), and Eb-21 (P. aeruginosa). Similarly, Trichoderma spp. were identified as T. harzianum, T. asperellum and Trichoderma sp. Notably, Rb-18 (B. subtilis) and Eb-21 (P. aeruginosa) exhibited promising characteristics such as the production of hydrogen cyanide (HCN), cellulase, siderophores, ammonia and nutrient solubilization. Furthermore, treating pigeonpea seedlings with these beneficial microorganisms led to increased levels of key enzymes (POD, PPO, and PAL) associated with resistance to Fusarium wilt, compared to untreated controls. In field trials conducted for four seasons, the application of these potential biocontrol agents as seed treatments on the susceptible ICP2376 cultivar led to the lowest disease incidence. Specifically, treatments T2 (33.33) (P. aeruginosa) and T3 (35.41) (T. harzianium) exhibited the lowest disease incidence, followed by T6 (36.5) (Carbendizim), T1 (36.66) (B. subtilis), T4 (52.91) (T. asperellum) and T5 (53.33) (Trichoderma sp.). Results of this study revealed that, P. aeruginosa (Eb-21), B. subtilis (Rb-18) and T. harzianum can be used for plant growth promotion and management of Fusarium wilt of pigeonpea.

First repot of Chaetomium globosum causing leaf spot on Averrhoa carambola in India.

The Star fruit (Averrhoa carambola L.) was globally distributed, particularly in countries like China, India, Indonesia and was renowned for its abundant vitamin, mineral and antioxidant content (Reddy et al., 2023). In early February 2023, leaf spot symptoms were observed on A. carambola at 2 hectare model orchard, College farm, Agricultural College, Aswaraopet (17.252038 latitude, 81.109574 longitude) and Horticulture nurseries of Aswaraopet, Bhadradri Kothagudem (Dist), Telangana, India. In the surveyed fields (February-2023 to February 2024), the disease was prevalent year round, with varying incidence i.e., July to February (35% to 40% with a yield loss of 35%) and from March to June (20% to 30% with a yield loss of 20%). The disease was initiated as small reddish spots, which grew over 8-10 days to 1-5 mm spots with a necrotic center, dark reddish brown margin and a prominent yellow halo around them, within 17 to 20 days, all spots coalesced, resulting in leaf yellowing and defoliation (SF 1). To isolate pathogen, diseased leaf tissues (n=20) (5 × 5 mm) were surface sterilized (70% alcohol (30 s), 1% sodium hypochlorite (30 s) and sterile distilled water (3 × 60 s), inoculated to PDA media and incubated at 26 ± 2°C with 12 hours photoperiod for 72 hours (Chi et al. 2022). The emerging hyphae from the diseased tissues were sub cultured and incubated on PDA at 26 ± 2 °C. Initially, the fungal colonies appeared white, later transitioning to light brown and finally developed into olivaceous grey colour (SF 2A). The ascospores (n=20) were lemon shaped, pointed at both ends, with a length of 10.3 µm (9.1 to 12.1 µm) and width of 8.6 µm (7.2 to 10.2 µm) (SF 2B and 2C). For further identification of the pathogen, four fungal isolates were cultured in potato dextrose broth and genomic DNA was extracted using the CTAB method. Identification of the pathogen was confirmed through amplification and sequencing the Internal Transcribed Spacer region (ITS), Translation Elongation Factor 1-α (TEF1) and RNA polymerase subunit (RPB1) genes. The resulting sequences were deposited in Gen Bank with accession numbers (OR337915, OR337916, OR337893 and OR337892 for ITS, OR669280, OR669281, OR669282, and OR669283 for TEF, and PP092153, PP092154, PP092155 and PP092156 for RPB1). To study pathogenicity of fungus, five isolates of C. globosum were isolated from five A. carambola plants, grown in potato dextrose broth. Spore suspension of 1x106 spores/mL were prepared by adjusting with hemacytometer and were sprayed onto the leaves of healthy, surface sterilized (50% ethanol), 3 months old A. carambola plants and incubated in greenhouse (T: 26°C; RH: 80%). For each of the five isolates, the spore suspension from each individual isolate was inoculated into three plants and three control plants were maintained for each isolate. The experiment was replicated thrice. After a period of 10 to 12 days, symptoms appeared on the inoculated leaves in the form of reddish spots, similar to original symptoms (Alam et al. 2021) (SF 1H). The fungus isolated from the inoculated leaves was morphologically similarities to C. globosum. Notably, C. globosum, a widespread leaf spot pathogen in crops like A. hypogaea, C. sativa and Pomegranate (Chaffin et al. 2020). To our knowledge, this is the first report of A. carambola leaf spot caused by C. globosum in India and worldwide. The result will be helpful for providing a basis for further research on the control of the disease.

Detection of Circulating Tumor Cells by Cell Block Technique in Malignant Tumors.

Introduction: Cancer is a leading cause of death worldwide and is a major cause of morbidity. To deal with this magnitude of cancers and their diagnostic and prognostics, a multitude of prognostic biomarkers for various cancers have been explored over the decades, with detection of circulating tumor cells (CTCs) in the peripheral blood being one of them. This study was undertaken to explore the routine procedure of cell block in the cytopathology lab to isolate and detect CTCs. Materials and Methods: In this cross-sectional study, 112 peripheral blood samples sent for routine blood investigations of various cancer patients were utilized for the preparation of cell block. The sections from the cell block were stained routinely and evaluated for the presence of CTCs. The statistical analysis was done using Mac Statplus software version 8.0. Results: The malignancies were tabulated as per the International Classification of Diseases for Oncology, third edition (ICD-O-3). The maximum number of cases were from C 50 (breast) - 41/112 (36.6%), followed by C15-C26 (Digestive organs) - 19/112 (16.9%), and C00-C14 (lip, oral cavity, and pharynx) - 18/112 (16.07%) cases. CTC was detected in six (5.35%) out of 112 cases, out of which three were from the breast and one each from category C6.9 (mouth), C32.0 (glottis), and C53.8 (cervix uteri). Conclusion: Among various advanced and molecular techniques available for the detection of CTCs, the cell block technique proves to be one of the effective methods, especially in resource-limited settings as these can further be utilized for additional diagnostic techniques similar to the ones employed for routine paraffin blocks.

Design an efficient data driven decision support system to predict flooding by analysing heterogeneous and multiple data sources using Data Lake.

Floods are the most common natural disaster in several countries throughout the world. Flooding has a major impact on people's lives and livelihoods. The impact of flood disasters on human lives can be mitigated by developing effective flood forecasting and prediction models. The majority of flood prediction models do not take all flood-causing factors into account when they are designed. It is difficult to collect and handle some of these flood-causing variables since they are heterogeneous in nature. This paper presents a new big data architecture called Data Lake, which can ingest and store all important flood-causing heterogeneous data sources in their raw format for machine learning model creation. The statistical relevance of important flood producing factors on flood prediction outcome is determined utilizing inferential statistical approaches. The outcome of this research is to create flood warning systems that can alert the public and government officials so that they can make decisions in the event of a severe flood, reducing socioeconomic loss. •Flood causing factors are from heterogeneous sources, so there is no big data architecture for handling variety of data sources.•To provide data architectural solution using data lake for collecting and analysing heterogeneous flood causing factors.•Uses inferential statistical approach to determine importance of different flood causing factors in design of efficient flood prediction models.

Carcinoid tumour of appendix in a child: a rare case at an uncommon site.

Carcinoid tumours of the appendix are uncommon incidentally detected tumours during histopathological examination following appendicectomy for acute appendicitis. Even though considered rare in children, they are the most frequently encountered tumours of the gastrointestinal tract. To our knowledge, carcinoid tumour of appendix in childhood has not yet been reported from Indian Subcontinent. The clinical presentation is similar to acute appendicitis and the signs and symptoms of carcinoid syndrome have not been reported in children. The prognosis of carcinoid tumour of appendix is excellent in children as the tumour is generally small in size and less aggressive with no metastasis. Simple appendicectomy is curative in most of the patients and long term follow up is debatable. We present here a case of carcinoid tumour of the body of appendix, which is an uncommon location in a 6-year-old child.

Evaluation of the medical records system in an upcoming teaching hospital-a project for improvisation.

The medical records system of an upcoming teaching hospital in a developing nation was evaluated for its accessibility, completeness, physician satisfaction, presence of any lacunae, suggestion of necessary steps for improvisation and to emphasize the importance of Medical records system in education and research work. The salient aspects of the medical records department were evaluated based on a questionnaire which was evaluated by a team of 40 participants-30 doctors, 5 personnel from Medical Records Department and 5 from staff of Hospital administration. Most of the physicians (65%) were partly satisfied with the existing medical record system. 92.5% were of the opinion that upgradation of the present system is necessary. The need of the hour in the present teaching hospital is the implementation of a hospital-wide patient registration and medical records re-engineering process in the form of electronic medical records system and regular review by the audit commission.

Metaplastic carcinoma of the breast-a rare neoplasm with transitional cell differentiation: an exceptional feature.

Metaplastic carcinomas of the breast are malignant breast neoplasms composed of a mixture of both epithelial and mesenchymal elements. The rarity of this tumor is exemplified by the fact that it accounts for only about 0.2% of all breast carcinomas. It can present histologically with diverse differentiation and the exact histogenesis of these tumors is unknown. The present case is reported for its rarity and for the presence of transitional cell differentiation along with the other usual components of metaplastic carcinoma. Transitional cell differentiation in a metaplastic carcinoma has not been documented in the literature. Besides this, it highlights the importance of special stains and immunohistochemistry in evaluating these carcinomas and the need for early diagnosis and excision of these tumors as these carcinomas generally have a poorer prognosis as compared to breast carcinomas without metaplasia, with the tumor size having an important bearing on the outcome of this condition.